Stacey, Dawn; Chambers, Suzanne K; Jacobsen, Mary Jane; Dunn, Jeff
2008-11-01
To evaluate the effect of an intervention on healthcare professionals' perceptions of barriers influencing their provision of decision support for callers facing cancer-related decisions. A pre- and post-test study guided by the Ottawa Model of Research Use. Australian statewide cancer call center that provides public access to information and supportive cancer services. 34 nurses, psychologists, and other allied healthcare professionals at the cancer call center. Participants completed baseline measures and, subsequently, were exposed to an intervention that included a decision support tutorial, coaching protocol, and skill-building workshop. Strategies were implemented to address organizational barriers. Perceived barriers and facilitators influencing provision of decision support, decision support knowledge, quality of decision support provided to standardized callers, and call length. Postintervention participants felt more prepared, confident in providing decision support, and aware of decision support resources. They had a stronger belief that providing decision support was within their role. Participants significantly improved their knowledge and provided higher-quality decision support to standardized callers without changing call length. The implementation intervention overcame several identified barriers that influenced call center professionals when providing decision support. Nurses and other helpline professionals have the potential to provide decision support designed to help callers understand cancer information, clarify their values associated with their options, and reduce decisional conflict. However, they require targeted education and organizational interventions to reduce their perceived barriers to providing decision support.
The design of patient decision support interventions: addressing the theory-practice gap.
Elwyn, Glyn; Stiel, Mareike; Durand, Marie-Anne; Boivin, Jacky
2011-08-01
Although an increasing number of decision support interventions for patients (including decision aids) are produced, few make explicit use of theory. We argue the importance of using theory to guide design. The aim of this work was to address this theory-practice gap and to examine how a range of selected decision-making theories could inform the design and evaluation of decision support interventions. We reviewed the decision-making literature and selected relevant theories. We assessed their key principles, theoretical pathways and predictions in order to determine how they could inform the design of two core components of decision support interventions, namely, information and deliberation components and to specify theory-based outcome measures. Eight theories were selected: (1) the expected utility theory; (2) the conflict model of decision making; (3) prospect theory; (4) fuzzy-trace theory; (5) the differentiation and consolidation theory; (6) the ecological rationality theory; (7) the rational-emotional model of decision avoidance; and finally, (8) the Attend, React, Explain, Adapt model of affective forecasting. Some theories have strong relevance to the information design (e.g. prospect theory); some are more relevant to deliberation processes (conflict theory, differentiation theory and ecological validity). None of the theories in isolation was sufficient to inform the design of all the necessary components of decision support interventions. It was also clear that most work in theory-building has focused on explaining or describing how humans think rather than on how tools could be designed to help humans make good decisions. It is not surprising therefore that a large theory-practice gap exists as we consider decision support for patients. There was no relevant theory that integrated all the necessary contributions to the task of making good decisions in collaborative interactions. Initiatives such as the International Patient Decision Aids Standards Collaboration influence standards for the design of decision support interventions. However, this analysis points to the need to undertake more work in providing theoretical foundations for these interventions. © 2010 Blackwell Publishing Ltd.
White, Douglas B.; Cua, Sarah Martin; Walk, Roberta; Pollice, Laura; Weissfeld, Lisa; Hong, Seoyeon; Landefeld, C. Seth; Arnold, Robert M.
2013-01-01
Background Problems persist with surrogate decision making in intensive care units, leading to distress for surrogates and treatment that may not reflect patients’ values. Objectives To assess the feasibility, acceptability, and perceived effectiveness of a multifaceted, nurse-led intervention to improve surrogate decision making in intensive care units. Study Design A single-center, single-arm, interventional study in which 35 surrogates and 15 physicians received the Four Supports Intervention, which involved incorporating a family support specialist into the intensive care team. That specialist maintained a longitudinal relationship with surrogates and provided emotional support, communication support, decision support, and anticipatory grief support. A mixed-methods approach was used to evaluate the intervention. Results The intervention was implemented successfully in all 15 patients, with a high level of completion of each component of the intervention. The family support specialist devoted a mean of 48 (SD 36) minutes per day to each clinician-patient-family triad. All participants reported that they would recommend the intervention to others. At least 90% of physicians and surrogates reported that the intervention (1) improved the quality and timeliness of communication, (2) facilitated discussion of the patient’s values and treatment preferences, and (3) improved the patient-centeredness of care. Conclusions The Four Supports Intervention is feasible, acceptable, and was perceived by physicians and surrogates to improve the quality of decision making and the patient-centeredness of care. A randomized trial is warranted to determine whether the intervention improves patient, family, and health system outcomes. PMID:23117903
Lepore, Stephen J.; Wolf, Randi L.; Basch, Charles E.; Godfrey, Melissa; McGinty, Emma; Shmukler, Celia; Ullman, Ralph; Thomas, Nigel; Weinrich, Sally
2012-01-01
Background Decision support interventions have been developed to help men clarify their values and make informed decisions about prostate cancer testing, but they seldom target high-risk black and immigrant men. Purpose This study evaluated the efficacy of a decision support intervention focused on prostate cancer testing in a sample of predominantly immigrant black men. Methods Black men (N = 490) were randomized to tailored telephone education about prostate cancer testing or a control condition. Results Post-intervention, the intervention group had significantly greater knowledge, lower decision conflict, and greater likelihood of talking with their physician about prostate cancer testing than the control group. There were no significant intervention effects on prostate specific antigen testing, congruence between testing intention and behavior, or anxiety. Conclusions A tailored telephone decision support intervention can promote informed decision making about prostate cancer testing in black and predominantly immigrant men without increasing testing or anxiety. Clinical trial Registered in clinicaltrials.gov (NCT01415375) PMID:22825933
Aiding Lay Decision Making Using a Cognitive Competencies Approach.
Maule, A J; Maule, Simon
2015-01-01
Two prescriptive approaches have evolved to aid human decision making: just in time interventions that provide support as a decision is being made; and just in case interventions that educate people about future events that they may encounter so that they are better prepared to make an informed decision when these events occur. We review research on these two approaches developed in the context of supporting everyday decisions such as choosing an apartment, a financial product or a medical procedure. We argue that the lack of an underlying prescriptive theory has limited the development and evaluation of these interventions. We draw on recent descriptive research on the cognitive competencies that underpin human decision making to suggest new ways of interpreting how and why existing decision aids may be effective and suggest a different way of evaluating their effectiveness. We also briefly outline how our approach has the potential to develop new interventions to support everyday decision making and highlight the benefits of drawing on descriptive research when developing and evaluating interventions.
Aiding Lay Decision Making Using a Cognitive Competencies Approach
Maule, A. J.; Maule, Simon
2016-01-01
Two prescriptive approaches have evolved to aid human decision making: just in time interventions that provide support as a decision is being made; and just in case interventions that educate people about future events that they may encounter so that they are better prepared to make an informed decision when these events occur. We review research on these two approaches developed in the context of supporting everyday decisions such as choosing an apartment, a financial product or a medical procedure. We argue that the lack of an underlying prescriptive theory has limited the development and evaluation of these interventions. We draw on recent descriptive research on the cognitive competencies that underpin human decision making to suggest new ways of interpreting how and why existing decision aids may be effective and suggest a different way of evaluating their effectiveness. We also briefly outline how our approach has the potential to develop new interventions to support everyday decision making and highlight the benefits of drawing on descriptive research when developing and evaluating interventions. PMID:26779052
Elwyn, Glyn; Frosch, Dominick; Volandes, Angelo E; Edwards, Adrian; Montori, Victor M
2010-01-01
This article provides an analysis of 'decision aids', interventions to support patients facing tough decisions. Interest has increased since the concept of shared decision making has become widely considered to be a means of achieving desirable clinical outcomes. We consider the aims of these interventions and examine assumptions about their use. We propose three categories, interventions that are used in face-to-face encounters, those designed for use outside clinical encounters and those which are mediated, using telephone or other communication media. We propose the following definition: decision support interventions help people think about choices they face; they describe where and why choice exists; they provide information about options, including, where reasonable, the option of taking no action. These interventions help people to deliberate, independently or in collaboration with others, about options, by considering relevantattributes; they support people to forecast how they might feel about short, intermediate and long-term outcomes which have relevant consequences, in ways which help the process of constructing preferences and eventual decision making, appropriate to their individual situation. Although quality standards have been published for these interventions, we are also cautious about premature closure and consider that the need for short versions for use inside clinical encounters and long versions for external use requires further research. More work is also needed on the use of narrative formats and the translation of theory into practical designs. The interest in decision support interventions for patients heralds a transformation in clinical practice although many important areas remain unresolved.
Garvelink, Mirjam M; Ngangue, Patrice A G; Adekpedjou, Rheda; Diouf, Ndeye T; Goh, Larissa; Blair, Louisa; Légaré, France
2016-04-01
We conducted a mixed-methods knowledge synthesis to assess the effectiveness of interventions to improve caregivers' involvement in decision making with seniors, and to describe caregivers' experiences of decision making in the absence of interventions. We analyzed forty-nine qualitative, fourteen quantitative, and three mixed-methods studies. The qualitative studies indicated that caregivers had unmet needs for information, discussions of values and needs, and decision support, which led to negative sentiments after decision making. Our results indicate that there have been insufficient quantitative evaluations of interventions to involve caregivers in decision making with seniors and that the evaluations that do exist found few clinically significant effects. Elements of usual care that received positive evaluations were the availability of a decision coach and a supportive decision-making environment. Additional rigorously evaluated interventions are needed to help caregivers be more involved in decision making with seniors. Project HOPE—The People-to-People Health Foundation, Inc.
Development of Decision Support Intervention for Black Women with Breast Cancer
Williams, Karen Patricia; Harrison, Toni Michelle; Jennings, Yvonne; Lucas, Wanda; Stephen, Juleen; Robinson, Dana; Mandelblatt, Jeanne S.; Taylor, Kathryn L.
2011-01-01
Adjuvant therapy improves breast cancer survival but is underutilized by Black women. Few interventions have addressed this problem. This preliminary report describes the process we used to develop a decision support intervention for Black women eligible for adjuvant therapy. Aims were to use qualitative methods to describe factors that influence Black women’s adjuvant therapy decisions, use these formative data to develop messages for a treatment decision-support intervention, and pilot test the acceptability and utility of the intervention with community members and newly diagnosed women. Thirty-four in-depth interviews were conducted with breast cancer patients in active treatment, survivors and cancer providers to gather qualitative data. Participant ages ranged from 38 to 69 years. A cultural framework was used to analyze the data and to inform intervention messages. Most women relied on their providers for treatment recommendations. Several women reported problems communicating with providers and felt unprepared to ask questions and discuss adjuvant treatment options. Other factors related to treatment experiences were: spiritual coping, collectivism, and sharing breast cancer experiences with other Black survivors. Using these formative data, we developed an intervention that is survivor-based and includes an in-person session which incorporates sharing personal stories, communication skills training and decision support. Intervention materials were reviewed by community members, researchers/clinicians and patients newly diagnosed with breast cancer. Patients reported satisfaction with the intervention and felt better prepared to talk with providers. The intervention will be tested in a randomized trial to enhance decision support and increase use of indicated adjuvant treatment. PMID:19267384
Interventions to Modify Health Care Provider Adherence to Asthma Guidelines: A Systematic Review
Okelo, Sande O.; Butz, Arlene M.; Sharma, Ritu; Diette, Gregory B.; Pitts, Samantha I.; King, Tracy M.; Linn, Shauna T.; Reuben, Manisha; Chelladurai, Yohalakshmi
2013-01-01
BACKGROUND AND OBJECTIVE: Health care provider adherence to asthma guidelines is poor. The objective of this study was to assess the effect of interventions to improve health care providers’ adherence to asthma guidelines on health care process and clinical outcomes. METHODS: Data sources included Medline, Embase, Cochrane CENTRAL Register of Controlled Trials, Cumulative Index to Nursing and Allied Health Literature, Educational Resources Information Center, PsycINFO, and Research and Development Resource Base in Continuing Medical Education up to July 2012. Paired investigators independently assessed study eligibility. Investigators abstracted data sequentially and independently graded the evidence. RESULTS: Sixty-eight eligible studies were classified by intervention: decision support, organizational change, feedback and audit, clinical pharmacy support, education only, quality improvement/pay-for-performance, multicomponent, and information only. Half were randomized trials (n = 35). There was moderate evidence for increased prescriptions of controller medications for decision support, feedback and audit, and clinical pharmacy support and low-grade evidence for organizational change and multicomponent interventions. Moderate evidence supports the use of decision support and clinical pharmacy interventions to increase provision of patient self-education/asthma action plans. Moderate evidence supports use of decision support tools to reduce emergency department visits, and low-grade evidence suggests there is no benefit for this outcome with organizational change, education only, and quality improvement/pay-for-performance. CONCLUSIONS: Decision support tools, feedback and audit, and clinical pharmacy support were most likely to improve provider adherence to asthma guidelines, as measured through health care process outcomes. There is a need to evaluate health care provider-targeted interventions with standardized outcomes. PMID:23979092
Elwyn, Glyn; Scholl, Isabelle; Tietbohl, Caroline; Mann, Mala; Edwards, Adrian G K; Clay, Catharine; Légaré, France; van der Weijden, Trudy; Lewis, Carmen L; Wexler, Richard M; Frosch, Dominick L
2013-01-01
Two decades of research has established the positive effect of using patient-targeted decision support interventions: patients gain knowledge, greater understanding of probabilities and increased confidence in decisions. Yet, despite their efficacy, the effectiveness of these decision support interventions in routine practice has yet to be established; widespread adoption has not occurred. The aim of this review was to search for and analyze the findings of published peer-reviewed studies that investigated the success levels of strategies or methods where attempts were made to implement patient-targeted decision support interventions into routine clinical settings. An electronic search strategy was devised and adapted for the following databases: ASSIA, CINAHL, Embase, HMIC, Medline, Medline-in-process, OpenSIGLE, PsycINFO, Scopus, Social Services Abstracts, and the Web of Science. In addition, we used snowballing techniques. Studies were included after dual independent assessment. After assessment, 5322 abstracts yielded 51 articles for consideration. After examining full-texts, 17 studies were included and subjected to data extraction. The approach used in all studies was one where clinicians and their staff used a referral model, asking eligible patients to use decision support. The results point to significant challenges to the implementation of patient decision support using this model, including indifference on the part of health care professionals. This indifference stemmed from a reported lack of confidence in the content of decision support interventions and concern about disruption to established workflows, ultimately contributing to organizational inertia regarding their adoption. It seems too early to make firm recommendations about how best to implement patient decision support into routine practice because approaches that use a 'referral model' consistently report difficulties. We sense that the underlying issues that militate against the use of patient decision support and, more generally, limit the adoption of shared decision making, are under-investigated and under-specified. Future reports from implementation studies could be improved by following guidelines, for example the SQUIRE proposals, and by adopting methods that would be able to go beyond the 'barriers' and 'facilitators' approach to understand more about the nature of professional and organizational resistance to these tools. The lack of incentives that reward the use of these interventions needs to be considered as a significant impediment.
2013-01-01
Background Two decades of research has established the positive effect of using patient-targeted decision support interventions: patients gain knowledge, greater understanding of probabilities and increased confidence in decisions. Yet, despite their efficacy, the effectiveness of these decision support interventions in routine practice has yet to be established; widespread adoption has not occurred. The aim of this review was to search for and analyze the findings of published peer-reviewed studies that investigated the success levels of strategies or methods where attempts were made to implement patient-targeted decision support interventions into routine clinical settings. Methods An electronic search strategy was devised and adapted for the following databases: ASSIA, CINAHL, Embase, HMIC, Medline, Medline-in-process, OpenSIGLE, PsycINFO, Scopus, Social Services Abstracts, and the Web of Science. In addition, we used snowballing techniques. Studies were included after dual independent assessment. Results After assessment, 5322 abstracts yielded 51 articles for consideration. After examining full-texts, 17 studies were included and subjected to data extraction. The approach used in all studies was one where clinicians and their staff used a referral model, asking eligible patients to use decision support. The results point to significant challenges to the implementation of patient decision support using this model, including indifference on the part of health care professionals. This indifference stemmed from a reported lack of confidence in the content of decision support interventions and concern about disruption to established workflows, ultimately contributing to organizational inertia regarding their adoption. Conclusions It seems too early to make firm recommendations about how best to implement patient decision support into routine practice because approaches that use a ‘referral model’ consistently report difficulties. We sense that the underlying issues that militate against the use of patient decision support and, more generally, limit the adoption of shared decision making, are under-investigated and under-specified. Future reports from implementation studies could be improved by following guidelines, for example the SQUIRE proposals, and by adopting methods that would be able to go beyond the ‘barriers’ and ‘facilitators’ approach to understand more about the nature of professional and organizational resistance to these tools. The lack of incentives that reward the use of these interventions needs to be considered as a significant impediment. PMID:24625083
A Web-Based Tool to Support Data-Based Early Intervention Decision Making
ERIC Educational Resources Information Center
Buzhardt, Jay; Greenwood, Charles; Walker, Dale; Carta, Judith; Terry, Barbara; Garrett, Matthew
2010-01-01
Progress monitoring and data-based intervention decision making have become key components of providing evidence-based early childhood special education services. Unfortunately, there is a lack of tools to support early childhood service providers' decision-making efforts. The authors describe a Web-based system that guides service providers…
Zandstra, D; Busser, J A S; Aarts, J W M; Nieboer, T E
2017-04-01
This review studies women's preferences for shared decision-making about heavy menstrual bleeding treatment and evaluates interventions that support shared decision-making and their effectiveness. PubMed, Cochrane, Embase, Medline and ClinicalTrials.gov were searched. Three research questions were predefined: 1) What is the range of perspectives gathered in studies that examine women facing a decision related to heavy menstrual bleeding management?; 2) What types of interventions have been developed to support shared decision-making for women experiencing heavy menstrual bleeding?; and 3) In what way might women benefit from interventions that support shared decision-making? All original studies were included if the study population consisted of women experiencing heavy menstrual bleeding. We used the TIDieR (Template for Intervention: Description and Replication) checklist to assess the quality of description and the reproducibility of interventions. Interventions were categorized using Grande et al. guidelines and collated and summarized outcomes measures into three categories: 1) patient-reported outcomes; 2) observer-reported outcomes; and 3) doctor-reported outcomes. Fifteen studies were included. Overall, patients preferred to decide together with their doctor (74%). Women's previsit preference was the strongest predictor for treatment choice in two studies. Information packages did not have a statistically significant effect on treatment choice or satisfaction. However, adding a structured interview or decision aid to increase patient involvement did show a positive effect on treatment choice and results, patient satisfaction and shared decision-making related outcomes. In conclusion shared decision-making is becoming more important in the care of women with heavy menstrual bleeding. Structured interviews or well-designed (computerized) tools such as decision aids seem to facilitate this process, but there is room for improvement. A shared treatment choice is only possible after careful provision of information, elicitation of patients' preferences and integrating those preferences. Interventions should be designed accordingly. Copyright © 2017 Elsevier B.V. All rights reserved.
Computerised decision support in physical activity interventions: A systematic literature review.
Triantafyllidis, Andreas; Filos, Dimitris; Claes, Jomme; Buys, Roselien; Cornelissen, Véronique; Kouidi, Evangelia; Chouvarda, Ioanna; Maglaveras, Nicos
2018-03-01
The benefits of regular physical activity for health and quality of life are unarguable. New information, sensing and communication technologies have the potential to play a critical role in computerised decision support and coaching for physical activity. We provide a literature review of recent research in the development of physical activity interventions employing computerised decision support, their feasibility and effectiveness in healthy and diseased individuals, and map out challenges and future research directions. We searched the bibliographic databases of PubMed and Scopus to identify physical activity interventions with computerised decision support utilised in a real-life context. Studies were synthesized according to the target user group, the technological format (e.g., web-based or mobile-based) and decision-support features of the intervention, the theoretical model for decision support in health behaviour change, the study design, the primary outcome, the number of participants and their engagement with the intervention, as well as the total follow-up duration. From the 24 studies included in the review, the highest percentage (n = 7, 29%) targeted sedentary healthy individuals followed by patients with prediabetes/diabetes (n = 4, 17%) or overweight individuals (n = 4, 17%). Most randomized controlled trials reported significantly positive effects of the interventions, i.e., increase in physical activity (n = 7, 100%) for 7 studies assessing physical activity measures, weight loss (n = 3, 75%) for 4 studies assessing diet, and reductions in glycosylated hemoglobin (n = 2, 66%) for 3 studies assessing glycose concentration. Accelerometers/pedometers were used in almost half of the studies (n = 11, 46%). Most adopted decision support features included personalised goal-setting (n = 16, 67%) and motivational feedback sent to the users (n = 15, 63%). Fewer adopted features were integration with electronic health records (n = 3, 13%) and alerts sent to caregivers (n = 4, 17%). Theoretical models of decision support in health behaviour to drive the development of the intervention were not reported in most studies (n = 14, 58%). Interventions employing computerised decision support have the potential to promote physical activity and result in health benefits for both diseased and healthy individuals, and help healthcare providers to monitor patients more closely. Objectively measured activity through sensing devices, integration with clinical systems used by healthcare providers and theoretical frameworks for health behaviour change need to be employed in a larger scale in future studies in order to realise the development of evidence-based computerised systems for physical activity monitoring and coaching. Copyright © 2017 Elsevier B.V. All rights reserved.
Wallington, Sherrie F.; Willey, Shawna C.; Hampton, Regina M.; Lucas, W.; Jennings, Y.; Horton, S.; Muzeck, N.; Cocilovo, C.; Isaacs, C.
2013-01-01
Previous reports suggest that Black breast cancer patients receive less patient-centered cancer care than their White counterparts. Interventions to improve patient-centered care (PCC) in Black breast cancer patients are lacking. Seventy-six women with histologically confirmed breast cancer were recruited from the Washington, DC area. After a baseline telephone interview, women received an in-person decision support educational session led by a trained survivor coach. The coach used a culturally appropriate guidebook and decision-making model—TALK Back!© A follow-up assessment assessed participants’ acceptability of the intervention and intermediate outcomes. After the intervention, participants reported increased: self-efficacy in communicating with providers (70 %) and self-efficacy in making treatment decisions (70 %). Compared to baseline scores, post-intervention communication with providers significantly increased (p=.000). This is the first outcome report of an intervention to facilitate PCC in Black breast cancer patients. Testing this intervention using RCTs or similar designs will be important next steps. PMID:23576067
McCannon, Jessica B; O'Donnell, Walter J; Thompson, B Taylor; El-Jawahri, Areej; Chang, Yuchiao; Ananian, Lillian; Bajwa, Ednan K; Currier, Paul F; Parikh, Mihir; Temel, Jennifer S; Cooper, Zara; Wiener, Renda Soylemez; Volandes, Angelo E
2012-12-01
Effective communication between intensive care unit (ICU) providers and families is crucial given the complexity of decisions made regarding goals of therapy. Using video images to supplement medical discussions is an innovative process to standardize and improve communication. In this six-month, quasi-experimental, pre-post intervention study we investigated the impact of a cardiopulmonary resuscitation (CPR) video decision support tool upon knowledge about CPR among surrogate decision makers for critically ill adults. We interviewed surrogate decision makers for patients aged 50 and over, using a structured questionnaire that included a four-question CPR knowledge assessment similar to those used in previous studies. Surrogates in the post-intervention arm viewed a three-minute video decision support tool about CPR before completing the knowledge assessment and completed questions about perceived value of the video. We recruited 23 surrogates during the first three months (pre-intervention arm) and 27 surrogates during the latter three months of the study (post-intervention arm). Surrogates viewing the video had more knowledge about CPR (p=0.008); average scores were 2.0 (SD 1.1) and 2.9 (SD 1.2) (out of a total of 4) in pre-intervention and post-intervention arms. Surrogates who viewed the video were comfortable with its content (81% very) and 81% would recommend the video. CPR preferences for patients at the time of ICU discharge/death were distributed as follows: pre-intervention: full code 78%, DNR 22%; post-intervention: full code 59%, DNR 41% (p=0.23).
Interventions for supporting pregnant women's decision-making about mode of birth after a caesarean.
Horey, Dell; Kealy, Michelle; Davey, Mary-Ann; Small, Rhonda; Crowther, Caroline A
2013-07-30
Pregnant women who have previously had a caesarean birth and who have no contraindication for vaginal birth after caesarean (VBAC) may need to decide whether to choose between a repeat caesarean birth or to commence labour with the intention of achieving a VBAC. Women need information about their options and interventions designed to support decision-making may be helpful. Decision support interventions can be implemented independently, or shared with health professionals during clinical encounters or used in mediated social encounters with others, such as telephone decision coaching services. Decision support interventions can include decision aids, one-on-one counselling, group information or support sessions and decision protocols or algorithms. This review considers any decision support intervention for pregnant women making birth choices after a previous caesarean birth. To examine the effectiveness of interventions to support decision-making about vaginal birth after a caesarean birth.Secondary objectives are to identify issues related to the acceptability of any interventions to parents and the feasibility of their implementation. We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (30 June 2013), Current Controlled Trials (22 July 2013), the WHO International Clinical Trials Registry Platform Search Portal (ICTRP) (22 July 2013) and reference lists of retrieved articles. We also conducted citation searches of included studies to identify possible concurrent qualitative studies. All published, unpublished, and ongoing randomised controlled trials (RCTs) and quasi-randomised trials with reported data of any intervention designed to support pregnant women who have previously had a caesarean birth make decisions about their options for birth. Studies using a cluster-randomised design were eligible for inclusion but none were identified. Studies using a cross-over design were not eligible for inclusion. Studies published in abstract form only would have been eligible for inclusion if data were able to be extracted. Two review authors independently applied the selection criteria and carried out data extraction and quality assessment of studies. Data were checked for accuracy. We contacted authors of included trials for additional information. All included interventions were classified as independent, shared or mediated decision supports. Consensus was obtained for classifications. Verification of the final list of included studies was undertaken by three review authors. Three randomised controlled trials involving 2270 women from high-income countries were eligible for inclusion in the review. Outcomes were reported for 1280 infants in one study. The interventions assessed in the trials were designed to be used either independently by women or mediated through the involvement of independent support. No studies looked at shared decision supports, that is, interventions designed to facilitate shared decision-making with health professionals during clinical encounters.We found no difference in planned mode of birth: VBAC (risk ratio (RR) 1.03, 95% confidence interval (CI) 0.97 to 1.10; I² = 0%) or caesarean birth (RR 0.96, 95% CI 0.84 to 1.10; I² = 0%). The proportion of women unsure about preference did not change (RR 0.87, 95% CI 0.62 to 1.20; I² = 0%).There was no difference in adverse outcomes reported between intervention and control groups (one trial, 1275 women/1280 babies): permanent (RR 0.66, 95% CI 0.32 to 1.36); severe (RR 1.02, 95% CI 0.77 to 1.36); unclear (0.66, 95% CI 0.27, 1.61). Overall, 64.8% of those indicating preference for VBAC achieved it, while 97.1% of those planning caesarean birth achieved this mode of birth. We found no difference in the proportion of women achieving congruence between preferred and actual mode of birth (RR 1.02, 95% CI 0.96 to 1.07) (three trials, 1921 women).More women had caesarean births (57.3%), including 535 women where it was unplanned (42.6% all caesarean deliveries and 24.4% all births). We found no difference in actual mode of birth between groups, (average RR 0.97, 95% CI 0.89 to 1.06) (three trials, 2190 women).Decisional conflict about preferred mode of birth was lower (less uncertainty) for women with decisional support (standardised mean difference (SMD) -0.25, 95% CI -0.47 to -0.02; two trials, 787 women; I² = 48%). There was also a significant increase in knowledge among women with decision support compared with those in the control group (SMD 0.74, 95% CI 0.46 to 1.03; two trials, 787 women; I² = 65%). However, there was considerable heterogeneity between the two studies contributing to this outcome ( I² = 65%) and attrition was greater than 15 per cent and the evidence for this outcome is considered to be moderate quality only. There was no difference in satisfaction between women with decision support and those without it (SMD 0.06, 95% CI -0.09 to 0.20; two trials, 797 women; I² = 0%). No study assessed decisional regret or whether women's information needs were met.Qualitative data gathered in interviews with women and health professionals provided information about acceptability of the decision support and its feasibility of implementation. While women liked the decision support there was concern among health professionals about their impact on their time and workload. Evidence is limited to independent and mediated decision supports. Research is needed on shared decision support interventions for women considering mode of birth in a pregnancy after a caesarean birth to use with their care providers.
Bouaud, J; Lamy, J-B
2013-01-01
To summarize excellent research and to select best papers published in 2012 in the field of computer-based decision support in healthcare. A bibliographic search focused on clinical decision support systems (CDSSs) and computer provider order entry was performed, followed by a double-blind literature review. The review process yielded six papers, illustrating various aspects of clinical decision support. The first paper is a systematic review of CDSS intervention trials in real settings, and considers different types of possible outcomes. It emphasizes the heterogeneity of studies and confirms that CDSSs can improve process measures but that evidence lacks for other types of outcomes, especially clinical or economic. Four other papers tackle the safety of drug prescribing and show that CDSSs can be efficient in reducing prescription errors. The sixth paper exemplifies the growing role of ontological resources which can be used for several applications including decision support. CDSS research has to be continuously developed and assessed. The wide variety of systems and of interventions limits the understanding of factors of success of CDSS implementations. A standardization in the characterization of CDSSs and of intervention trial reporting will help to overcome this obstacle.
Miller, Randolph A.; Waitman, Lemuel R.; Chen, Sutin; Rosenbloom, S. Trent
2006-01-01
The authors describe a pragmatic approach to the introduction of clinical decision support at the point of care, based on a decade of experience in developing and evolving Vanderbilt’s inpatient “WizOrder” care provider order entry (CPOE) system. The inpatient care setting provides a unique opportunity to interject CPOE-based decision support features that restructure clinical workflows, deliver focused relevant educational materials, and influence how care is delivered to patients. From their empirical observations, the authors have developed a generic model for decision support within inpatient CPOE systems. They believe that the model’s utility extends beyond Vanderbilt, because it is based on characteristics of end-user workflows and on decision support considerations that are common to a variety of inpatient settings and CPOE systems. The specific approach to implementing a given clinical decision support feature within a CPOE system should involve evaluation along three axes: what type of intervention to create (for which the authors describe 4 general categories); when to introduce the intervention into the user’s workflow (for which the authors present 7 categories), and how disruptive, during use of the system, the intervention might be to end-users’ workflows (for which the authors describe 6 categories). Framing decision support in this manner may help both developers and clinical end-users plan future alterations to their systems when needs for new decision support features arise. PMID:16290243
Swoboda, Christine M; Miller, Carla K; Wills, Celia E
2017-07-01
Evaluate a 16-week decision support and goal-setting intervention to compare diet quality, decision, and diabetes-related outcomes to a control group. Adults with type 2 diabetes (n=54) were randomly assigned to an intervention or control group. Intervention group participants completed one in-person motivational interviewing and decision support session followed by seven biweekly telephone coaching calls. Participants reported previous goal attempts and set diet- and/or physical activity-related goals during coaching calls. Control group participants received information about local health care resources on the same contact schedule. There was a significant difference between groups for diabetes empowerment (p=0.045). A significant increase in diet quality, diabetes self-efficacy, and diabetes empowerment, and a significant decrease in diabetes distress and depressive symptoms (all p≤0.05) occurred in the intervention group. Decision confidence to achieve diet-related goals significantly improved from baseline to week 8 but then declined at study end (both p≤0.05). Setting specific diet-related goals may promote dietary change, and telephone coaching can improve psychosocial outcomes related to diabetes self-management. Informed shared decision making can facilitate progressively challenging yet attainable goals tailored to individuals' lifestyle. Decision coaching may empower patients to improve self-management practices and reduce distress. Copyright © 2017 Elsevier B.V. All rights reserved.
Michelson, Kelly N; Frader, Joel; Sorce, Lauren; Clayman, Marla L; Persell, Stephen D; Fragen, Patricia; Ciolino, Jody D; Campbell, Laura C; Arenson, Melanie; Aniciete, Danica Y; Brown, Melanie L; Ali, Farah N; White, Douglas
2016-12-01
Stakeholder-developed interventions are needed to support pediatric intensive care unit (PICU) communication and decision-making. Few publications delineate methods and outcomes of stakeholder engagement in research. We describe the process and impact of stakeholder engagement on developing a PICU communication and decision-making support intervention. We also describe the resultant intervention. Stakeholders included parents of PICU patients, healthcare team members (HTMs), and research experts. Through a year-long iterative process, we involved 96 stakeholders in 25 meetings and 26 focus groups or interviews. Stakeholders adapted an adult navigator model by identifying core intervention elements and then determining how to operationalize those core elements in pediatrics. The stakeholder input led to PICU-specific refinements, such as supporting transitions after PICU discharge and including ancillary tools. The resultant intervention includes navigator involvement with parents and HTMs and navigator-guided use of ancillary tools. Subsequent research will test the feasibility and efficacy of our intervention.
Cabassa, Leopoldo J; Stefancic, Ana
2018-04-04
People with serious mental illness die at an earlier age than people in the general population largely due to cardiovascular disease. Healthy lifestyle interventions can help reduce this health inequity. In this qualitative study, we examined the perceptions that decision makers in supportive housing agencies had toward a peer-led healthy lifestyle intervention and their views of contextual factors that could shape implementation at these agencies. A purposive sample of 12 decision makers from three supportive housing agencies was recruited. We presented participants a vignette describing our peer-led intervention and used semistructured qualitative interviews to examine their views. Interviews were recorded, professionally transcribed, and analyzed using directed content analysis. Participants reported positive views toward the intervention with the most valued intervention attributes being relative advantage over existing services, compatibility to clients' needs, ability to pilot the intervention, and cost. A model emerged from our data depicting multilevel contextual factors believed to shape the implementation of our intervention at these agencies, including system- (funding, marketability, and external regulations), organization- (leadership support, fit with organization, staff buy-in and burden), and client-level (adaptability to clients' needs, and clients' buy-in) factors. Study findings illustrate the importance of understanding the context of practice before implementation. This examination can help identify critical views from decision makers that could undermine or advance the integration of peer-led interventions in supportive housing agencies and help identify structures, policies, and organizational practices that can inform the implementation process.
Stacey, Dawn; Hill, Sophie; McCaffery, Kirsten; Boland, Laura; Lewis, Krystina B; Horvat, Lidia
2017-01-01
Basic health literacy is required for making health decisions. The aim of this chapter is to discuss the use of shared decision making interventions for supporting patient involvement in making health decisions. The chapter provides a definition of shared decision making and discusses the link between shared decision making and the three levels of health literacy: functional, communicative/interactive, and critical. The Interprofessional Shared Decision Making Model is used to identify the various players involved: the patient, the family/surrogate/significant others, decision coach, and health care professionals. When patients are involved in shared decision making, they have better health outcomes, better healthcare experiences, and likely lower costs. Yet, their degree of involvement is influenced by their level of health literacy. Interventions to facilitate shared decision making are patient decision aids, decision coaching, and question prompt lists. Patient decision aids have been shown to improve knowledge, accurate risk perceptions, and chosen options congruent with patients' values. Decision coaching improves knowledge and patient satisfaction. Question prompts also improve satisfaction. When shared decision making interventions have been evaluated with patients presumed to have lower health literacy, they appeared to be more beneficial to disadvantaged groups compared to those with higher literacy or better socioeconomic status. However, special attention needs to be applied when designing these interventions for populations with lower literacy. Two case exemplars are provided to illustrate the design and choice of interventions to better support patients with varying levels of health literacy. Despite evidence indicating these interventions are effective for involving patients in shared decision making, few are used in routine clinical practice. To increase their uptake, implementation strategies need to overcome barriers interfering with their use. Implementation strategies include training health care professionals, adopting SDM interventions that target patients, such as patient decision aids, and monitor patients' decisional comfort using the SURE test. Integrating health literacy principles is important when developing interventions that facilitate shared decision making and essential to avoid inadvertently producing higher inequalities between patients with varying levels of health literacy.
Lloyd, Amy; Joseph-Williams, Natalie; Edwards, Adrian; Rix, Andrew; Elwyn, Glyn
2013-09-05
Implementing shared decision making into routine practice is proving difficult, despite considerable interest from policy-makers, and is far more complex than merely making decision support interventions available to patients. Few have reported successful implementation beyond research studies. MAking Good Decisions In Collaboration (MAGIC) is a multi-faceted implementation program, commissioned by The Health Foundation (UK), to examine how best to put shared decision making into routine practice. In this paper, we investigate healthcare professionals' perspectives on implementing shared decision making during the MAGIC program, to examine the work required to implement shared decision making and to inform future efforts. The MAGIC program approached implementation of shared decision making by initiating a range of interventions including: providing workshops; facilitating development of brief decision support tools (Option Grids); initiating a patient activation campaign ('Ask 3 Questions'); gathering feedback using Decision Quality Measures; providing clinical leads meetings, learning events, and feedback sessions; and obtaining executive board level support. At 9 and 15 months (May and November 2011), two rounds of semi-structured interviews were conducted with healthcare professionals in three secondary care teams to explore views on the impact of these interventions. Interview data were coded by two reviewers using a framework derived from the Normalization Process Theory. A total of 54 interviews were completed with 31 healthcare professionals. Partial implementation of shared decision making could be explained using the four components of the Normalization Process Theory: 'coherence,' 'cognitive participation,' 'collective action,' and 'reflexive monitoring.' Shared decision making was integrated into routine practice when clinical teams shared coherent views of role and purpose ('coherence'). Shared decision making was facilitated when teams engaged in developing and delivering interventions ('cognitive participation'), and when those interventions fit with existing skill sets and organizational priorities ('collective action') resulting in demonstrable improvements to practice ('reflexive monitoring'). The implementation process uncovered diverse and conflicting attitudes toward shared decision making; 'coherence' was often missing. The study showed that implementation of shared decision making is more complex than the delivery of patient decision support interventions to patients, a portrayal that often goes unquestioned. Normalizing shared decision making requires intensive work to ensure teams have a shared understanding of the purpose of involving patients in decisions, and undergo the attitudinal shifts that many health professionals feel are required when comprehension goes beyond initial interpretations. Divergent views on the value of engaging patients in decisions remain a significant barrier to implementation.
2013-01-01
Background Implementing shared decision making into routine practice is proving difficult, despite considerable interest from policy-makers, and is far more complex than merely making decision support interventions available to patients. Few have reported successful implementation beyond research studies. MAking Good Decisions In Collaboration (MAGIC) is a multi-faceted implementation program, commissioned by The Health Foundation (UK), to examine how best to put shared decision making into routine practice. In this paper, we investigate healthcare professionals’ perspectives on implementing shared decision making during the MAGIC program, to examine the work required to implement shared decision making and to inform future efforts. Methods The MAGIC program approached implementation of shared decision making by initiating a range of interventions including: providing workshops; facilitating development of brief decision support tools (Option Grids); initiating a patient activation campaign (‘Ask 3 Questions’); gathering feedback using Decision Quality Measures; providing clinical leads meetings, learning events, and feedback sessions; and obtaining executive board level support. At 9 and 15 months (May and November 2011), two rounds of semi-structured interviews were conducted with healthcare professionals in three secondary care teams to explore views on the impact of these interventions. Interview data were coded by two reviewers using a framework derived from the Normalization Process Theory. Results A total of 54 interviews were completed with 31 healthcare professionals. Partial implementation of shared decision making could be explained using the four components of the Normalization Process Theory: ‘coherence,’ ‘cognitive participation,’ ‘collective action,’ and ‘reflexive monitoring.’ Shared decision making was integrated into routine practice when clinical teams shared coherent views of role and purpose (‘coherence’). Shared decision making was facilitated when teams engaged in developing and delivering interventions (‘cognitive participation’), and when those interventions fit with existing skill sets and organizational priorities (‘collective action’) resulting in demonstrable improvements to practice (‘reflexive monitoring’). The implementation process uncovered diverse and conflicting attitudes toward shared decision making; ‘coherence’ was often missing. Conclusions The study showed that implementation of shared decision making is more complex than the delivery of patient decision support interventions to patients, a portrayal that often goes unquestioned. Normalizing shared decision making requires intensive work to ensure teams have a shared understanding of the purpose of involving patients in decisions, and undergo the attitudinal shifts that many health professionals feel are required when comprehension goes beyond initial interpretations. Divergent views on the value of engaging patients in decisions remain a significant barrier to implementation. PMID:24006959
Müller-Staub, Maria; de Graaf-Waar, Helen; Paans, Wolter
2016-11-01
Nurses are accountable to apply the nursing process, which is key for patient care: It is a problem-solving process providing the structure for care plans and documentation. The state-of-the art nursing process is based on classifications that contain standardized concepts, and therefore, it is named Advanced Nursing Process. It contains valid assessments, nursing diagnoses, interventions, and nursing-sensitive patient outcomes. Electronic decision support systems can assist nurses to apply the Advanced Nursing Process. However, nursing decision support systems are missing, and no "gold standard" is available. The study aim is to develop a valid Nursing Process-Clinical Decision Support System Standard to guide future developments of clinical decision support systems. In a multistep approach, a Nursing Process-Clinical Decision Support System Standard with 28 criteria was developed. After pilot testing (N = 29 nurses), the criteria were reduced to 25. The Nursing Process-Clinical Decision Support System Standard was then presented to eight internationally known experts, who performed qualitative interviews according to Mayring. Fourteen categories demonstrate expert consensus on the Nursing Process-Clinical Decision Support System Standard and its content validity. All experts agreed the Advanced Nursing Process should be the centerpiece for the Nursing Process-Clinical Decision Support System and should suggest research-based, predefined nursing diagnoses and correct linkages between diagnoses, evidence-based interventions, and patient outcomes.
Applied Empiricism: Ensuring the Validity of Causal Response to Intervention Decisions
ERIC Educational Resources Information Center
Kilgus, Stephen P.; Collier-Meek, Melissa A.; Johnson, Austin H.; Jaffery, Rose
2014-01-01
School personnel make a variety of decisions within multitiered problem-solving frameworks, including the decision to assign a student to group-based support, to design an individualized support plan, or classify a student as eligible for special education. Each decision is founded upon a judgment regarding whether the student has responded to…
Bos-Touwen, Irene D; Trappenburg, Jaap C A; van der Wulp, Ineke; Schuurmans, Marieke J; de Wit, Niek J
2017-01-01
Self-management support is an integral part of current chronic care guidelines. The success of self-management interventions varies between individual patients, suggesting a need for tailored self-management support. Understanding the role of patient factors in the current decision making of health professionals can support future tailoring of self-management interventions. The aim of this study is to identify the relative importance of patient factors in health professionals' decision making regarding self-management support. A factorial survey was presented to primary care physicians and nurses. The survey consisted of clinical vignettes (case descriptions), in which 11 patient factors were systematically varied. Each care provider received a set of 12 vignettes. For each vignette, they decided whether they would give this patient self-management support and whether they expected this support to be successful. The associations between respondent decisions and patient factors were explored using ordered logit regression. The survey was completed by 60 general practitioners and 80 nurses. Self-management support was unlikely to be provided in a third of the vignettes. The most important patient factor in the decision to provide self-management support as well as in the expectation that self-management support would be successful was motivation, followed by patient-provider relationship and illness perception. Other factors, such as depression or anxiety, education level, self-efficacy and social support, had a small impact on decisions. Disease, disease severity, knowledge of disease, and age were relatively unimportant factors. This is the first study to explore the relative importance of patient factors in decision making and the expectations regarding the provision of self-management support to chronic disease patients. By far, the most important factor considered was patient's motivation; unmotivated patients were less likely to receive self-management support. Future tailored interventions should incorporate strategies to enhance motivation in unmotivated patients. Furthermore, care providers should be better equipped to promote motivational change in their patients.
Kawamoto, Kensaku; Lobach, David F
2003-01-01
Computerized physician order entry (CPOE) systems represent an important tool for providing clinical decision support. In undertaking this systematic review, our objective was to identify the features of CPOE-based clinical decision support systems (CDSSs) most effective at modifying clinician behavior. For this review, two independent reviewers systematically identified randomized controlled trials that evaluated the effectiveness of CPOE-based CDSSs in changing clinician behavior. Furthermore, each included study was assessed for the presence of 14 CDSS features. We screened 10,023 citations and included 11 studies. Of the 10 studies comparing a CPOE-based CDSS intervention against a non-CDSS control group, 7 reported a significant desired change in professional practice. Moreover, meta-regression analysis revealed that automatic provision of the decision support was strongly associated with improved professional practice (adjusted odds ratio, 23.72; 95% confidence interval, 1.75-infiniti). Thus, we conclude that automatic provision of decision support is a critical feature of successful CPOE-based CDSS interventions.
Simmons, Magenta B; Coates, Dominiek; Batchelor, Samantha; Dimopoulos-Bick, Tara; Howe, Deborah
2017-12-12
Youth participation is central to early intervention policy and quality frameworks. There is good evidence for peer support (individuals with lived experience helping other consumers) and shared decision making (involving consumers in making decisions about their own care) in adult settings. However, youth programs are rarely tested or described in detail. This report aims to fill this gap by describing a consumer focused intervention in an early intervention service. This paper describes the development process, intervention content and implementation challenges of the Choices about Healthcare Options Informed by Client Experiences and Expectations (CHOICE) Pilot Project. This highly novel and innovative project combined both youth peer work and youth shared decision making. Eight peer workers were employed to deliver an online shared decision-making tool at a youth mental health service in New South Wales, Australia. The intervention development involved best practice principles, including international standards and elements of co-design. The implementation of the peer workforce in the service involved a number of targeted strategies designed to support this new service model. However, several implementation challenges were experienced which resulted in critical learning about how best to deliver these types of interventions. Delivering peer work and shared decision making within an early intervention service is feasible, but not without challenges. Providing adequate detail about interventions and implementation strategies fills a critical gap in the literature. Understanding optimal youth involvement strategies assists others to deliver acceptable and effective services to young people who experience mental ill health. © 2017 John Wiley & Sons Australia, Ltd.
Bekker, Hilary L
2010-03-01
To discuss whether using the International Patient Decision Aids Standards (IPDAS) Collaboration checklist as a gold standard to judge interventions' quality is premature and potentially detrimental to the validity of resources designed to help patients make treatment choices. Conceptual review integrating the science behind individuals' decision making with the demands of designing complex, healthcare interventions. Patient decision aids are promoted as interventions to help professionals engage in shared and/or patient-centred care. The IPDAS domains were informed by experts' opinions of best practice. Decision scientists study how individuals make decisions, what biases their choices and how best to support decisions. There is debate from decision scientists about which component parts are the active ingredients that help people make decisions. Interventions to help patients make choices have different purposes, component parts and outcomes to those facilitating professional-patient communications. The IPDAS checklist will change to respond to new evidence from the decision sciences. Adhering uncritically to the IPDAS checklist may reduce service variation but is not sufficient to ensure interventions enable good patient decision making. Developers must be encouraged to reason about the IPDAS checklist to identify those component parts that do (not) meet their intervention's purpose. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.
Hollen, Patricia J; Gralla, Richard J; Jones, Randy A; Thomas, Christopher Y; Brenin, David R; Weiss, Geoffrey R; Schroen, Anneke T; Petroni, Gina R
2013-03-01
Appropriate utilization of treatment is a goal for all patients undergoing cancer treatment. Proper treatment maximizes benefit and limits exposure to unnecessary measures. This report describes findings of the feasibility and acceptability of implementing a short, clinic-based decision aid and presents an in-depth clinical profile of the participants. This descriptive study used a prospective, quantitative approach to obtain the feasibility and acceptability of a decision aid (DecisionKEYS for Balancing Choices) for use in clinical settings. It combined results of trials of patients with three different common malignancies. All groups used the same decision aid series. Participants included 80 patients with solid tumors (22 with newly diagnosed breast cancer, 19 with advanced prostate cancer, and 39 with advanced lung cancer) and their 80 supporters as well as their physicians and nurses, for a total of 160 participants and 10 health professionals. The decision aid was highly acceptable to patient and supporter participants in all diagnostic groups. It was feasible for use in clinic settings; the overall value was rated highly. Of six physicians, all found the interactive format with the help of the nurse as feasible and acceptable. Nurses also rated the decision aid favorably. This intervention provides the opportunity to enhance decision making about cancer treatment and warrants further study including larger and more diverse groups. Strengths of the study included a theoretical grounding, feasibility testing of a practical clinic-based intervention, and summative evaluation of acceptability of the intervention by patient and supporter pairs. Further research also is needed to test the effectiveness of the decision aid in diverse clinical settings and to determine if this intervention can decrease overall costs.
Schön, Ulla-Karin; Grim, Katarina; Wallin, Lars; Rosenberg, David; Svedberg, Petra
2018-01-01
ABSTRACT Purpose: Shared decision making, SDM, in psychiatric services, supports users to experience a greater sense of involvement in treatment, self-efficacy, autonomy and reduced coercion. Decision tools adapted to the needs of users have the potential to support SDM and restructure how users and staff work together to arrive at shared decisions. The aim of this study was to describe and analyse the implementation process of an SDM intervention for users of psychiatric services in Sweden. Method: The implementation was studied through a process evaluation utilizing both quantitative and qualitative methods. In designing the process evaluation for the intervention, three evaluation components were emphasized: contextual factors, implementation issues and mechanisms of impact. Results: The study addresses critical implementation issues related to decision-making authority, the perceived decision-making ability of users and the readiness of the service to increase influence and participation. It also emphasizes the importance of facilitation, as well as suggesting contextual adaptations that may be relevant for the local organizations. Conclusion: The results indicate that staff perceived the decision support tool as user-friendly and useful in supporting participation in decision-making, and suggest that such concrete supports to participation can be a factor in implementation if adequate attention is paid to organizational contexts and structures. PMID:29405889
Schön, Ulla-Karin; Grim, Katarina; Wallin, Lars; Rosenberg, David; Svedberg, Petra
2018-12-01
Shared decision making, SDM, in psychiatric services, supports users to experience a greater sense of involvement in treatment, self-efficacy, autonomy and reduced coercion. Decision tools adapted to the needs of users have the potential to support SDM and restructure how users and staff work together to arrive at shared decisions. The aim of this study was to describe and analyse the implementation process of an SDM intervention for users of psychiatric services in Sweden. The implementation was studied through a process evaluation utilizing both quantitative and qualitative methods. In designing the process evaluation for the intervention, three evaluation components were emphasized: contextual factors, implementation issues and mechanisms of impact. The study addresses critical implementation issues related to decision-making authority, the perceived decision-making ability of users and the readiness of the service to increase influence and participation. It also emphasizes the importance of facilitation, as well as suggesting contextual adaptations that may be relevant for the local organizations. The results indicate that staff perceived the decision support tool as user-friendly and useful in supporting participation in decision-making, and suggest that such concrete supports to participation can be a factor in implementation if adequate attention is paid to organizational contexts and structures.
Developing and pilot testing a shared decision-making intervention for dialysis choice.
Finderup, Jeanette; Jensen, Jens K D; Lomborg, Kirsten
2018-04-17
Evidence is inconclusive on how best to guide the patient in decision-making around haemodialysis and peritoneal dialysis choice. International guidelines recommend involvement of the patient in the decision to choose the dialysis modality most suitable for the individual patient. Nevertheless, studies have shown lack of involvement of the patient in decision-making. To develop and pilot test an intervention for shared decision-making targeting the choice of dialysis modality. This study reflects the first two phases of a complex intervention design: phase 1, the development process and phase 2, feasibility and piloting. Because decision aids were a part of the intervention, the International Patient Decision Aid Standards were considered. The pilot test included both the intervention and the feasibility of the validated shared decision-making questionnaire (SDM Q9) and the Decision Quality Measure (DQM) applied to evaluate the intervention. A total of 137 patients tested the intervention. After the intervention, 80% of the patients chose dialysis at home reflecting an increase of 23% in starting dialysis at home prior to the study. The SDM Q9 showed the majority of the patients experienced this intervention as shared decision-making. An intervention based on shared decision-making supported by decision aids seemed to increase the number of patients choosing home dialysis. The SDM Q9 and DQM were feasible evaluation tools. Further research is needed to gain insight into the patients' experiences of involvement and the implications for their choice of dialysis modality. © 2018 European Dialysis and Transplant Nurses Association/European Renal Care Association.
McGinn, Thomas G; McCullagh, Lauren; Kannry, Joseph; Knaus, Megan; Sofianou, Anastasia; Wisnivesky, Juan P; Mann, Devin M
2013-09-23
There is consensus that incorporating clinical decision support into electronic health records will improve quality of care, contain costs, and reduce overtreatment, but this potential has yet to be demonstrated in clinical trials. To assess the influence of a customized evidence-based clinical decision support tool on the management of respiratory tract infections and on the effectiveness of integrating evidence at the point of care. In a randomized clinical trial, we implemented 2 well-validated integrated clinical prediction rules, namely, the Walsh rule for streptococcal pharyngitis and the Heckerling rule for pneumonia. INTERVENTIONS AND MAIN OUTCOMES AND MEASURES: The intervention group had access to the integrated clinical prediction rule tool and chose whether to complete risk score calculators, order medications, and generate progress notes to assist with complex decision making at the point of care. The intervention group completed the integrated clinical prediction rule tool in 57.5% of visits. Providers in the intervention group were significantly less likely to order antibiotics than the control group (age-adjusted relative risk, 0.74; 95% CI, 0.60-0.92). The absolute risk of the intervention was 9.2%, and the number needed to treat was 10.8. The intervention group was significantly less likely to order rapid streptococcal tests compared with the control group (relative risk, 0.75; 95% CI, 0.58-0.97; P= .03). The integrated clinical prediction rule process for integrating complex evidence-based clinical decision report tools is of relevant importance for national initiatives, such as Meaningful Use. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01386047.
USDA-ARS?s Scientific Manuscript database
Decision-support systems (DDSs) are techniques that help decision makers utilize models to solve problems under complex and uncertain conditions. Predicting conditions that warrant intervention is a key tenet of the concept of integrated pest management (IPM) with the use of expert systems and pest ...
Choosing to Decline: Finding Common Ground through the Perspective of Shared Decision Making.
Megregian, Michele; Nieuwenhuijze, Marianne
2018-05-18
Respectful communication is a key component of any clinical relationship. Shared decision making is the process of collaboration that occurs between a health care provider and patient in order to make health care decisions based upon the best available evidence and the individual's preferences. A midwife and woman (and her support persons) engage together to make health care decisions, using respectful communication that is based upon the best available evidence and the woman's preferences, values, and goals. Supporting a woman's autonomy, however, can be particularly challenging in maternity care when recommended treatments or interventions are declined. In the past, the real or perceived increased risk to a woman's health or that of her fetus as a result of that choice has occasionally resulted in coercion. Through the process of shared decision making, the woman's autonomy may be supported, including the choice to decline interventions. The case presented here demonstrates how a shared decision-making framework can support the health care provider-patient relationship in the context of informed refusal. © 2018 by the American College of Nurse-Midwives.
Impact of generic substitution decision support on electronic prescribing behavior.
Stenner, Shane P; Chen, Qingxia; Johnson, Kevin B
2010-01-01
To evaluate the impact of generic substitution decision support on electronic (e-) prescribing of generic medications. The authors analyzed retrospective outpatient e-prescribing data from an academic medical center and affiliated network for July 1, 2005-September 30, 2008 using an interrupted time-series design to assess the rate of generic prescribing before and after implementing generic substitution decision support. To assess background secular trends, e-prescribing was compared with a concurrent random sample of hand-generated prescriptions. Proportion of generic medications prescribed before and after the intervention, evaluated over time, and compared with a sample of prescriptions generated without e-prescribing. The proportion of generic medication prescriptions increased from 32.1% to 54.2% after the intervention (22.1% increase, 95% CI 21.9% to 22.3%), with no diminution in magnitude of improvement post-intervention. In the concurrent control group, increases in proportion of generic prescriptions (29.3% to 31.4% to 37.4% in the pre-intervention, post-intervention, and end-of-study periods, respectively) were not commensurate with the intervention. There was a larger change in generic prescribing rates among authorized prescribers (24.6%) than nurses (18.5%; adjusted OR 1.38, 95% CI 1.17 to 1.63). Two years after the intervention, the proportion of generic prescribing remained significantly higher for e-prescriptions (58.1%; 95% CI 57.5% to 58.7%) than for hand-generated prescriptions ordered at the same time (37.4%; 95% CI 34.9% to 39.9%) (p<0.0001). Generic prescribing increased significantly in every specialty. Implementation of generic substitution decision support was associated with dramatic and sustained improvements in the rate of outpatient generic e-prescribing across all specialties.
Impact of generic substitution decision support on electronic prescribing behavior
Chen, Qingxia; Johnson, Kevin B
2010-01-01
Objective To evaluate the impact of generic substitution decision support on electronic (e-) prescribing of generic medications. Design The authors analyzed retrospective outpatient e-prescribing data from an academic medical center and affiliated network for July 1, 2005–September 30, 2008 using an interrupted time-series design to assess the rate of generic prescribing before and after implementing generic substitution decision support. To assess background secular trends, e-prescribing was compared with a concurrent random sample of hand-generated prescriptions. Measurements Proportion of generic medications prescribed before and after the intervention, evaluated over time, and compared with a sample of prescriptions generated without e-prescribing. Results The proportion of generic medication prescriptions increased from 32.1% to 54.2% after the intervention (22.1% increase, 95% CI 21.9% to 22.3%), with no diminution in magnitude of improvement post-intervention. In the concurrent control group, increases in proportion of generic prescriptions (29.3% to 31.4% to 37.4% in the pre-intervention, post-intervention, and end-of-study periods, respectively) were not commensurate with the intervention. There was a larger change in generic prescribing rates among authorized prescribers (24.6%) than nurses (18.5%; adjusted OR 1.38, 95% CI 1.17 to 1.63). Two years after the intervention, the proportion of generic prescribing remained significantly higher for e-prescriptions (58.1%; 95% CI 57.5% to 58.7%) than for hand-generated prescriptions ordered at the same time (37.4%; 95% CI 34.9% to 39.9%) (p<0.0001). Generic prescribing increased significantly in every specialty. Conclusion Implementation of generic substitution decision support was associated with dramatic and sustained improvements in the rate of outpatient generic e-prescribing across all specialties. PMID:20962131
Silva, Kenya de Lima; Évora, Yolanda Dora Martinez; Cintra, Camila Santana Justo
2015-01-01
Objective: to report the development of a software to support decision-making for the selection of nursing diagnoses and interventions for children and adolescents, based on the nomenclature of nursing diagnoses, outcomes and interventions of a university hospital in Paraiba. Method: a methodological applied study based on software engineering, as proposed by Pressman, developed in three cycles, namely: flow chart construction, development of the navigation interface, and construction of functional expressions and programming development. Result: the software consists of administrative and nursing process screens. The assessment is automatically selected according to age group, the nursing diagnoses are suggested by the system after information is inserted, and can be indicated by the nurse. The interventions for the chosen diagnosis are selected by structuring the care plan. Conclusion: the development of this tool used to document the nursing actions will contribute to decision-making and quality of care. PMID:26487144
Silva, Kenya de Lima; Évora, Yolanda Dora Martinez; Cintra, Camila Santana Justo
2015-01-01
to report the development of a software to support decision-making for the selection of nursing diagnoses and interventions for children and adolescents, based on the nomenclature of nursing diagnoses, outcomes and interventions of a university hospital in Paraiba. a methodological applied study based on software engineering, as proposed by Pressman, developed in three cycles, namely: flow chart construction, development of the navigation interface, and construction of functional expressions and programming development. the software consists of administrative and nursing process screens. The assessment is automatically selected according to age group, the nursing diagnoses are suggested by the system after information is inserted, and can be indicated by the nurse. The interventions for the chosen diagnosis are selected by structuring the care plan. the development of this tool used to document the nursing actions will contribute to decision-making and quality of care.
Marsh, Kevin; Lanitis, Tereza; Neasham, David; Orfanos, Panagiotis; Caro, Jaime
2014-04-01
The objective of this study is to support those undertaking a multi-criteria decision analysis (MCDA) by reviewing the approaches adopted in healthcare MCDAs to date, how these varied with the objective of the study, and the lessons learned from this experience. Searches of EMBASE and MEDLINE identified 40 studies that provided 41 examples of MCDA in healthcare. Data were extracted on the objective of the study, methods employed, and decision makers' and study authors' reflections on the advantages and disadvantages of the methods. The recent interest in MCDA in healthcare is mirrored in an increase in the application of MCDA to evaluate healthcare interventions. Of the studies identified, the first was published in 1990, but more than half were published since 2011. They were undertaken in 18 different countries, and were designed to support investment (coverage and reimbursement), authorization, prescription, and research funding allocation decisions. Many intervention types were assessed: pharmaceuticals, public health interventions, screening, surgical interventions, and devices. Most used the value measurement approach and scored performance using predefined scales. Beyond these similarities, a diversity of different approaches were adopted, with only limited correspondence between the approach and the type of decision or product. Decision makers consulted as part of these studies, as well as the authors of the studies are positive about the potential of MCDA to improve decision making. Further work is required, however, to develop guidance for those undertaking MCDA.
Bridging Behavioral Assessment and Behavioral Intervention: Finding Your Inner Behavior Analyst
ERIC Educational Resources Information Center
Johnson, LeAnne D.; Monn, Emily
2015-01-01
The persistence of challenging behaviors for some children highlights a need and an opportunity to explore several key principles of behavioral intervention that are necessary for effective decision- making when more personalized interventions must be layered on top of high-quality universal supports. In the absence of expert support,…
Gorawara-Bhat, Rita; O'Muircheartaigh, Siobhan; Mohile, Supriya; Dale, William
2017-09-01
To compare patients' attitudes towards recurrent prostate cancer (PCa) and starting hormone therapy (HT) treatment in two groups-Decision-Aid (DA) (intervention) and Standard-of-care (SoC) (Control). The present research was conducted at three academic clinics-two in the Midwest and one in the Northeast U.S. Patients with biochemical recurrence of PCa (n=26) and follow-up oncology visits meeting inclusion criteria were randomized to either the SoC or DA intervention group prior to their consultation. Analysts were blinded to group assignment. Semi-structured phone interviews with patients were conducted 1-week post consultation. Interviews were audio-taped and transcribed. Qualitative analytic techniques were used to extract salient themes and conduct a comparative analysis of the two groups. Four salient themes emerged-1) knowledge acquisition, 2) decision-making style, 3) decision-making about timing of HT, and 4) anxiety-coping mechanisms. A comparative analysis showed that patients receiving the DA intervention had a better comprehension of Prostate-specific antigen (PSA), an improved understanding of HT treatment implications, an external locus-of-control, participation in shared decision-making and, support-seeking for anxiety reduction. In contrast, SoC patients displayed worse comprehension of PSA testing and HT treatment implications, internal locus-of-control, unilateral involvement in knowledge-seeking and decision-making, and no support-seeking for anxiety-coping. The DA was more effective than the SoC group in helping PCa patients understand the full implications of PSA testing and treatment; motivating shared decision-making, and support-seeking for anxiety relief. DA DVD interventions can be a useful patient education tool for bringing higher quality decision-making to prostate cancer care. Copyright © 2017 Elsevier Ltd. All rights reserved.
Hall, Michael J; Manne, Sharon L; Winkel, Gary; Chung, Daniel S; Weinberg, David S; Meropol, Neal J
2011-02-01
Decision support to facilitate informed consent is increasingly important for complicated medical tests. Here, we test a theoretical model of factors influencing decisional conflict in a study examining the effects of a decision support aid that was designed to assist patients at high risk for hereditary nonpolyposis colorectal cancer (CRC) deciding whether to pursue the microsatellite instability (MSI) test. Participants were 239 CRC patients at high familial risk for a genetic mutation who completed surveys before and after exposure to the intervention. Half of the sample was assigned to the CD-ROM aid and half received a brief description of the test. Structural equation modeling was employed to examine associations among the intervention, knowledge, pros and cons to having MSI testing, self-efficacy, preparedness, and decisional conflict. The goodness of fit for the model was acceptable [FIML, full information maximum likelihood, χ(2) (df = 280) = 392.24; P = 0.00]. As expected, the paths to decisional conflict were significant for postintervention pros of MSI testing (t = -2.43; P < 0.05), cons of MSI testing (t = 2.78; P < 0.05), and preparedness (t = -7.27; P < 0.01). The intervention impacted decisional conflict by increasing knowledge about the MSI test and knowledge exerted its effects on decisional conflict by increasing preparedness to make a decision about the test and by increases in perceived benefits of having the test. Increasing knowledge, preparedness, and perceived benefits of undergoing the MSI test facilitate informed decision making for this test. Understanding mechanisms underlying health decisions is critical for improving decisional support. Individuals with Lynch syndrome have an elevated lifetime risk of CRC. Risk of Lynch syndrome may be assessed with a tumor-based screening test (MSI testing or immunohistochemical tissue staining). ©2011 AACR.
Page, Andrew; Atkinson, Jo-An; Heffernan, Mark; McDonnell, Geoff; Hickie, Ian
2017-04-27
Dynamic simulation modelling is increasingly being recognised as a valuable decision-support tool to help guide investments and actions to address complex public health issues such as suicide. In particular, participatory system dynamics (SD) modelling provides a useful tool for asking high-level 'what if' questions, and testing the likely impacts of different combinations of policies and interventions at an aggregate level before they are implemented in the real world. We developed an SD model for suicide prevention in Australia, and investigated the hypothesised impacts over the next 10 years (2015-2025) of a combination of current intervention strategies proposed for population interventions in Australia: 1) general practitioner (GP) training, 2) coordinated aftercare in those who have attempted suicide, 3) school-based mental health literacy programs, 4) brief-contact interventions in hospital settings, and 5) psychosocial treatment approaches. Findings suggest that the largest reductions in suicide were associated with GP training (6%) and coordinated aftercare approaches (4%), with total reductions of 12% for all interventions combined. This paper highlights the value of dynamic modelling methods for managing complexity and uncertainty, and demonstrates their potential use as a decision-support tool for policy makers and program planners for community suicide prevention actions.
Stacey, Dawn; Vandemheen, Katherine L; Hennessey, Rosamund; Gooyers, Tracy; Gaudet, Ena; Mallick, Ranjeeta; Salgado, Josette; Freitag, Andreas; Berthiaume, Yves; Brown, Neil; Aaron, Shawn D
2015-02-07
The decision to have lung transplantation as treatment for end-stage lung disease from cystic fibrosis (CF) has benefits and serious risks. Although patient decision aids are effective interventions for helping patients reach a quality decision, little is known about implementing them in clinical practice. Our study evaluated a sustainable approach for implementing a patient decision aid for adults with CF considering referral for lung transplantation. A prospective pragmatic observational study was guided by the Knowledge-to-Action Framework. Healthcare professionals in all 23 Canadian CF clinics were eligible. We surveyed participants regarding perceived barriers and facilitators to patient decision aid use. Interventions tailored to address modifiable identified barriers included training, access to decision aids, and conference calls. The primary outcome was >80% use of the decision aid in year 2. Of 23 adult CF clinics, 18 participated (78.2%) and 13 had healthcare professionals attend training. Baseline barriers were healthcare professionals' inadequate knowledge for supporting patients making decisions (55%), clarifying patients' values for outcomes of options (58%), and helping patients handle conflicting views of others (71%). Other barriers were lack of time (52%) and needing to change how transplantation is discussed (42%). Baseline facilitators were healthcare professionals feeling comfortable discussing bad transplantation outcomes (74%), agreeing the decision aid would be easy to experiment with (71%) and use in the CF clinic (87%), and agreeing that using the decision aid would not require reorganization of the CF clinic (90%). After implementing the decision aid with interventions tailored to the barriers, decision aid use increased from 29% at baseline to 85% during year 1 and 92% in year 2 (p < 0.001). Compared to baseline, more healthcare professionals at the end of the study were confident in supporting decision-making (p = 0.03) but continued to feel inadequate ability with supporting patients to handle conflicting views (p = 0.01). Most Canadian CF clinics agreed to participate in the study. Interventions were used to target identified modifiable barriers to using the patient decision aid in routine CF clinical practice. CF clinics reported using it with almost all patients in the second year.
Terrell, Kevin M; Perkins, Anthony J; Hui, Siu L; Callahan, Christopher M; Dexter, Paul R; Miller, Douglas K
2010-12-01
Emergency physicians prescribe several discharge medications that require dosage adjustment for patients with renal disease. The hypothesis for this research was that decision support in a computerized physician order entry system would reduce the rate of excessive medication dosing for patients with renal impairment. This was a randomized, controlled trial in an academic emergency department (ED), in which computerized physician order entry was used to write all prescriptions for patients being discharged from the ED. The sample included 42 physicians who were randomized to the intervention (21 physicians) or control (21 physicians) group. The intervention was decision support that provided dosing recommendations for targeted medications for patients aged 18 years and older when the patient's estimated creatinine clearance level was below the threshold for dosage adjustment. The primary outcome was the proportion of targeted medications that were excessively dosed. For 2,783 (46%) of the 6,015 patient visits, the decision support had sufficient information to estimate the patient's creatinine clearance level. The average age of these patients was 46 years, 1,768 (64%) were women, and 1,523 (55%) were black. Decision support was provided 73 times to physicians in the intervention group, who excessively dosed 31 (43%) prescriptions. In comparison, control physicians excessively dosed a significantly larger proportion of medications: 34 of 46, 74% (effect size=31%; 95% confidence interval 14% to 49%; P=.001). Emergency physicians often prescribed excessive doses of medications that require dosage adjustment for renal impairment. Computerized physician order entry with decision support significantly reduced excessive dosing of targeted medications. Copyright © 2010 American College of Emergency Physicians. Published by Mosby, Inc. All rights reserved.
Economics of Obesity — Learning from the Past to Contribute to a Better Future
Ananthapavan, Jaithri; Sacks, Gary; Moodie, Marj; Carter, Rob
2014-01-01
The discipline of economics plays a varied role in informing the understanding of the problem of obesity and the impact of different interventions aimed at addressing it. This paper discusses the causes of the obesity epidemic from an economics perspective, and outlines various justifications for government intervention in this area. The paper then focuses on the potential contribution of health economics in supporting resource allocation decision making for obesity prevention/treatment. Although economic evaluations of single interventions provide useful information, evaluations undertaken as part of a priority setting exercise provide the greatest scope for influencing decision making. A review of several priority setting examples in obesity prevention/treatment indicates that policy (as compared with program-based) interventions, targeted at prevention (as compared with treatment) and focused “upstream” on the food environment, are likely to be the most cost-effective options for change. However, in order to further support decision makers, several methodological advances are required. These include the incorporation of intervention costs/benefits outside the health sector, the addressing of equity impacts, and the increased engagement of decision makers in the priority setting process. PMID:24736685
Smith, Caroline A; Chang, Esther; Gallego, Gisselle; Balneaves, Lynda G
2017-09-26
Older Australians are high consumers of complementary and alternative medicines (CM). To help older people to take an active role in their health, we will develop and evaluate a novel educational intervention to support decision self-efficacy, and improve health literacy skills. The primary hypothesis is that participants receiving a web/DVD plus booklet intervention compared with a booklet-only group will demonstrate an increase in decision self-efficacy. This study is a randomised controlled trial. One hundred and sixty-eight people aged 65 years and older will be recruited from community settings comprising retirement villages and community groups, based in Sydney, Australia. Participants will be randomly allocated to either the education intervention delivered by the Internet or a DVD plus booklet versus a control group (booklet only). The primary outcome measure is CM decision self-efficacy. Secondary outcomes are health literacy, knowledge and attitudes, and change in health-seeking behaviour. Participants' views on the ease of using the resources, the length of the modules, the amount of information, and participant understanding of the modules will be assessed. Outcomes will be collected on completion of the intervention at 3 weeks, and at a 2-month follow up from trial entry. This trial has the potential to improve CM health literacy in older Australians. There are no educational resources designed to support decision self-efficacy and improve health literacy amongst older people related to CM. Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN12616000135415 . Registered on 5 February 2016.
Decision Support System for Disability Assessment and Intervention.
ERIC Educational Resources Information Center
Dowler, Denetta L.; And Others
1991-01-01
Constructed decision support system to aid referral of good candidates for rehabilitation from Social Security Administration to rehabilitation counselors. Three layers of system were gross screening based on policy guidelines, training materials, and interviews with experts; physical and mental functional capacity items derived from policy…
The Family Navigator: A Pilot Intervention to Support Intensive Care Unit Family Surrogates.
Torke, Alexia M; Wocial, Lucia D; Johns, Shelley A; Sachs, Greg A; Callahan, Christopher M; Bosslet, Gabriel T; Slaven, James E; Perkins, Susan M; Hickman, Susan E; Montz, Kianna; Burke, Emily S
2016-11-01
Communication problems between family surrogates and intensive care unit (ICU) clinicians have been documented, but few interventions are effective. Nurses have the potential to play an expanded role in ICU communication and decision making. To conduct a pilot randomized controlled trial of the family navigator (FN), a distinct nursing role to address family members' unmet communication needs early in an ICU stay. An interprofessional team developed the FN protocol. A randomized controlled pilot intervention trial of the FN was performed in a tertiary referral hospital's ICU to test the feasibility and acceptability of the intervention. The intervention addressed informational and emotional communication needs through daily contact by using structured clinical updates, emotional and informational support modules, family meeting support, and follow-up phone calls. Twenty-six surrogate/patient pairs (13 per study arm) were enrolled. Surrogates randomized to the intervention had contact with the FN on 90% or more of eligible patient days. All surrogates agreed that they would recom mend the FN to other families. Open-ended comments from both surrogates and clinicians were uniformly positive. Having a fully integrated nurse empowered to facilitate decision making is a feasible intervention in an ICU and is well-received by ICU families and staff. A larger randomized controlled trial is needed to demonstrate impact on important outcomes, such as surrogates' well-being and decision quality. ©2016 American Association of Critical-Care Nurses.
Davison, B Joyce; Goldenberg, S Larry; Wiens, Kristin P; Gleave, Martin E
2007-01-01
A randomized study was conducted to compare a generic and individualized approach to providing decisional support to men newly diagnosed with localized prostate cancer. Patients (N = 324) were referred by community urologists to a patient education center where they were randomly assigned to receive either an individualized or generic information intervention. Men assigned to the generic group viewed a video on the various treatments available for localized prostate cancer. Men in the individualized information group used a computer program to identify their information preferences. Computer printouts on top information preferences were individualized according to patient's specific disease characteristics, followed by a discussion of the pros and cons of each recommended treatment option. Both groups received a standardized package of written information. Men completed measures of decision control, satisfaction, and decision conflict at baseline and after a definitive treatment decision was made. Results demonstrated that overall both groups reported increased levels of decision control and lower levels of decision conflict after their treatment decision. All men reported being satisfied with their preparation to make a treatment decision. Compared to the generic information group, men who received the individualized information were more satisfied with the type, amount and method of providing information, and role played in treatment decision making with their physician (P < .002). Both information interventions seem to be similar in providing decisional support to this group of men at the time of diagnosis. Further research is required to determine how to identify men who may benefit from a more individualized approach.
Uyanik, Hatice; Shogren, Karrie A; Blanck, Peter
2017-12-01
Purpose This article reviews existing literature on positive psychology, supported decision-making (SDM), employment, and disability. It examines interventions and assessments that have been empirically evaluated for the enhancement of decision-making and overall well-being of people with disabilities. Additionally, conceptual themes present in the literature were explored. Methods A systematic review was conducted across two databases (ERIC and PsychINFO) using various combination of keywords of 'disabilit*', work rehabilitation and employment terms, positive psychology terms, and SDM components. Seven database searches were conducted with diverse combinations of keywords, which identified 1425 results in total to be screened for relevance using their titles and abstracts. Database search was supplemented with hand searches of oft-cited journals, ancestral search, and supplemental search from grey literature. Results Only four studies were identified in the literature targeting SDM and positive psychology related constructs in the employment and job development context. Results across the studies indicated small to moderate impacts of the assessment and interventions on decision-making and engagement outcomes. Conceptually there are thematic areas of potential overlap, although they are limited in the explicit integration of theory in supported decision-making, positive psychology, disability, and employment. Conclusion Results suggest a need for additional scholarship in this area that focuses on theory development and integration as well as empirical work. Such work should examine the potential utility of considering positive psychological interventions when planning for SDM in the context of career development activities to enhance positive outcomes related to decision-making, self-determination, and other positive psychological constructs.
Development of a taxonomy of interventions to organise the evidence on consumers' medicines use.
Lowe, Dianne; Ryan, Rebecca; Santesso, Nancy; Hill, Sophie
2011-11-01
Safe, effective (quality) medicines use remains problematic worldwide, yet consumers' medicines use research is not well organised. This creates difficulties for decision makers in identifying evidence or research gaps and in understanding how or why interventions work. Developing a conceptual framework for this evidence helps to organise the evidence for application and raise awareness of the range of possible interventions. To scope the aims of interventions to improve consumers' medicines use we searched for and iteratively analysed policy documents, systematic reviews, and an existing consumer-oriented communication intervention taxonomy. We identified eight recurrent themes associated with the purpose of the interventions: to inform and educate; to support behaviour change; to teach skills; to facilitate communication and/or decision making; to support; to minimise risk and harms; to involve consumers at the system level; and to improve health care quality. The taxonomy accommodates the complexity and diversity of interventions in this field, by focussing on the purposes of interventions, rather than the intervention type. Currently used to organise the evidence on consumers' medicines use, the taxonomy provides a conceptual and practical map of the evidence which will aid decision making and future research investment in the area. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.
Buhse, Susanne; Heller, Tabitha; Kasper, Jürgen; Mühlhauser, Ingrid; Müller, Ulrich Alfons; Lehmann, Thomas; Lenz, Matthias
2013-10-19
Lack of patient involvement in decision making has been suggested as one reason for limited treatment success. Concepts such as shared decision making may contribute to high quality healthcare by supporting patients to make informed decisions together with their physicians.A multi-component shared decision making programme on the prevention of heart attack in type 2 diabetes has been developed. It aims at improving the quality of decision-making by providing evidence-based patient information, enhancing patients' knowledge, and supporting them to actively participate in decision-making. In this study the efficacy of the programme is evaluated in the setting of a diabetes clinic. A single blinded randomised-controlled trial is conducted to compare the shared decision making programme with a control-intervention. The intervention consists of an evidence-based patient decision aid on the prevention of myocardial infarction and a corresponding counselling module provided by diabetes educators. Similar in duration and structure, the control-intervention targets nutrition, sports, and stress coping. A total of 154 patients between 40 and 69 years of age with type 2 diabetes and no previous diagnosis of ischaemic heart disease or stroke are enrolled and allocated either to the intervention or the control-intervention. Primary outcome measure is the patients' knowledge on benefits and harms of heart attack prevention captured by a standardised knowledge test. Key secondary outcome measure is the achievement of treatment goals prioritised by the individual patient. Treatment goals refer to statin taking, HbA1c-, blood pressure levels and smoking status. Outcomes are assessed directly after the counselling and at 6 months follow-up. Analyses will be carried out on intention-to-treat basis. Concurrent qualitative methods are used to explore intervention fidelity and to gain insight into implementation processes. Interventions to facilitate evidence-based shared decision making represent an innovative approach in diabetes care. The results of this study will provide information on the efficacy of such a concept in the setting of a diabetes clinic in Germany. ISRCTN84636255.
This report presents the results of twenty competitively funded Science-To-Achieve-Results (STAR) grants in EPA's Environmental Public Health Indicators (EPHI) research program. The grantsdirectly supported health interventions, informed policy and decision-making, and improved t...
Fleisher, Linda; Wen, Kuang Yi; Miller, Suzanne M; Diefenbach, Michael; Stanton, Annette L; Ropka, Mary; Morra, Marion; Raich, Peter C
2015-11-01
Cancer patients and survivors are assuming active roles in decision-making and digital patient support tools are widely used to facilitate patient engagement. As part of Cancer Information Service Research Consortium's randomized controlled trials focused on the efficacy of eHealth interventions to promote informed treatment decision-making for newly diagnosed prostate and breast cancer patients, and post-treatment breast cancer, we conducted a rigorous process evaluation to examine the actual use of and perceived benefits of two complementary communication channels -- print and eHealth interventions. The three Virtual Cancer Information Service (V-CIS) interventions were developed through a rigorous developmental process, guided by self-regulatory theory, informed decision-making frameworks, and health communications best practices. Control arm participants received NCI print materials; experimental arm participants received the additional V-CIS patient support tool. Actual usage data from the web-based V-CIS was also obtained and reported. Print materials were highly used by all groups. About 60% of the experimental group reported using the V-CIS. Those who did use the V-CIS rated it highly on improvements in knowledge, patient-provider communication and decision-making. The findings show that how patients actually use eHealth interventions either singularly or within the context of other communication channels is complex. Integrating rigorous best practices and theoretical foundations is essential and multiple communication approaches should be considered to support patient preferences.
ERIC Educational Resources Information Center
Darrah, Johanna; O'Donnell, Maureen; Lam, Joyce; Story, Maureen; Wickenheiser, Diane; Xu, Kaishou; Jin, Xiaokun
2013-01-01
Clinical practice frameworks are a valuable component of clinical education, promoting informed clinical decision making based on the best available evidence and/or clinical experience. They encourage standardized intervention approaches and evaluation of practice. Based on an international project to support the development of an enhanced service…
Shared decision making in the United States: policy and implementation activity on multiple fronts.
Frosch, Dominick L; Moulton, Benjamin W; Wexler, Richard M; Holmes-Rovner, Margaret; Volk, Robert J; Levin, Carrie A
2011-01-01
Shared decision making in the United States has become an important element in health policy debates. The recently passed federal health care reform legislation includes several key provisions related to shared decision making (SDM) and patient decision support. Several states have passed or are considering legislation that incorporates SDM as a key component of improved health care provision. Research on SDM is funded by a range of public and private organizations. Non-profit, for-profit, academic and government organizations are developing decision support interventions for numerous conditions. Some interventions are publicly available; others are distributed to patients through health insurance and healthcare providers. A significant number of clinical implementation projects are underway to test and evaluate different ways of incorporating SDM and patient decision support into routine clinical care. Numerous professional organizations are advocating for SDM and social networking efforts are increasing their advocacy as well. Policy makers are intrigued by the potential of SDM to improve health care provision and potentially lower costs. The role of shared decision making in policy and practice will be part of the larger health care reform debate. 2011. Published by Elsevier GmbH.
Kassakian, Steven Z; Yackel, Thomas R; Deloughery, Thomas; Dorr, David A
2016-06-01
Red blood cell transfusion is the most common procedure in hospitalized patients in the US. Growing evidence suggests that a sizeable percentage of these transfusions are inappropriate, putting patients at significant risk and increasing costs to the health care system. We performed a retrospective quasi-experimental study from November 2008 until November 2014 in a 576-bed tertiary care hospital. The intervention consisted of an interruptive clinical decision support alert shown to a provider when a red blood cell transfusion was ordered in a patient whose most recent hematocrit was ≥21%. We used interrupted time series analysis to determine whether our primary outcome of interest, rate of red blood cell transfusion in patients with hematocrit ≥21% per 100 patient (pt) days, was reduced by the implementation of the clinical decision support tool. The rate of platelet transfusions was used as a nonequivalent dependent control variable. A total of 143,000 hospital admissions were included in our analysis. Red blood cell transfusions decreased from 9.4 to 7.8 per 100 pt days after the clinical decision support intervention was implemented. Interrupted time series analysis showed that significant decline of 0.05 (95% confidence interval [CI], 0.03-0.07; P < .001) units of red blood cells transfused per 100 pt days per month was already underway in the preintervention period. This trend accelerated to 0.1 (95% CI, 0.09-0.12; P < .001) units of red blood cells transfused per 100 pt days per month following the implementation of the clinical decision support tool. There was no statistical change in the rate of platelet transfusion resulting from the intervention. The implementation of an evidence-based clinical decision support tool was associated with a significant decline in the overuse of red blood cell transfusion. We believe this intervention could be easily replicated in other hospitals using commercial electronic health records and a similar reduction in overuse of red blood cell transfusions achieved. Copyright © 2016 Elsevier Inc. All rights reserved.
Dzabeng, Francis; Enuameh, Yeetey; Adjei, George; Manu, Grace; Asante, Kwaku Poku; Owusu-Agyei, Seth
2016-09-01
The objective of this review is to synthesize evidence on the experiences of community health workers (CHWs) of mobile device-enabled clinical decision support systems (CDSSs) interventions designed to support maternal newborn and child health (MNCH) in low-and middle-income countries.Specific objectives.
Rawson, T M; Moore, L S P; Hernandez, B; Charani, E; Castro-Sanchez, E; Herrero, P; Hayhoe, B; Hope, W; Georgiou, P; Holmes, A H
2017-08-01
Clinical decision support systems (CDSS) for antimicrobial management can support clinicians to optimize antimicrobial therapy. We reviewed all original literature (qualitative and quantitative) to understand the current scope of CDSS for antimicrobial management and analyse existing methods used to evaluate and report such systems. PRISMA guidelines were followed. Medline, EMBASE, HMIC Health and Management and Global Health databases were searched from 1 January 1980 to 31 October 2015. All primary research studies describing CDSS for antimicrobial management in adults in primary or secondary care were included. For qualitative studies, thematic synthesis was performed. Quality was assessed using Integrated quality Criteria for the Review Of Multiple Study designs (ICROMS) criteria. CDSS reporting was assessed against a reporting framework for behaviour change intervention implementation. Fifty-eight original articles were included describing 38 independent CDSS. The majority of systems target antimicrobial prescribing (29/38;76%), are platforms integrated with electronic medical records (28/38;74%), and have a rules-based infrastructure providing decision support (29/38;76%). On evaluation against the intervention reporting framework, CDSS studies fail to report consideration of the non-expert, end-user workflow. They have narrow focus, such as antimicrobial selection, and use proxy outcome measures. Engagement with CDSS by clinicians was poor. Greater consideration of the factors that drive non-expert decision making must be considered when designing CDSS interventions. Future work must aim to expand CDSS beyond simply selecting appropriate antimicrobials with clear and systematic reporting frameworks for CDSS interventions developed to address current gaps identified in the reporting of evidence. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.
Grant, N; Rodger, S; Hoffmann, T
2016-01-01
When a child is diagnosed with autism, parents are faced with the task of choosing from many different intervention options. To find information about the options available, parents turn to a number of different sources. This study explores parents' (n = 23) intervention decision-making processes and information preferences following the diagnosis of ASD for their child. Qualitative thematic analysis of verbatim transcripts from interviews and focus groups involving parents of children with an autism diagnosis was undertaken. Analysis of the results revealed that there are concurrent emotional and pragmatic intervention 'journeys' undertaken by parents post diagnosis, which encompass the primary themes of: (1) information sources used, (2) parents' information preferences and (3) factors influencing intervention decision making. Parents described a journey from the point of diagnosis that involved seeking information on ASD interventions from multiple sources, with the Internet being the primary source. They were overwhelmed by the sheer volume of information available, and their preferences for information varied according to their stage in the journey post diagnosis. Parents had a 'trial and error' approach to choosing ASD interventions, with confidence increasing as they became more familiar with their child's condition, and had opportunities to explore numerous information sources about their child's diagnosis. While confidence increased over time, consideration of the effectiveness or evidence supporting interventions remained largely absent throughout the journey. This study highlights the need for parents of children with ASD to be supported to make informed intervention decisions, particularly with consideration for research evidence. © 2015 John Wiley & Sons Ltd.
Creating and sharing clinical decision support content with Web 2.0: Issues and examples.
Wright, Adam; Bates, David W; Middleton, Blackford; Hongsermeier, Tonya; Kashyap, Vipul; Thomas, Sean M; Sittig, Dean F
2009-04-01
Clinical decision support is a powerful tool for improving healthcare quality and patient safety. However, developing a comprehensive package of decision support interventions is costly and difficult. If used well, Web 2.0 methods may make it easier and less costly to develop decision support. Web 2.0 is characterized by online communities, open sharing, interactivity and collaboration. Although most previous attempts at sharing clinical decision support content have worked outside of the Web 2.0 framework, several initiatives are beginning to use Web 2.0 to share and collaborate on decision support content. We present case studies of three efforts: the Clinfowiki, a world-accessible wiki for developing decision support content; Partners Healthcare eRooms, web-based tools for developing decision support within a single organization; and Epic Systems Corporation's Community Library, a repository for sharing decision support content for customers of a single clinical system vendor. We evaluate the potential of Web 2.0 technologies to enable collaborative development and sharing of clinical decision support systems through the lens of three case studies; analyzing technical, legal and organizational issues for developers, consumers and organizers of clinical decision support content in Web 2.0. We believe the case for Web 2.0 as a tool for collaborating on clinical decision support content appears strong, particularly for collaborative content development within an organization.
Van de Velde, Stijn; Kortteisto, Tiina; Spitaels, David; Jamtvedt, Gro; Roshanov, Pavel; Kunnamo, Ilkka; Aertgeerts, Bert; Vandvik, Per Olav; Flottorp, Signe
2018-06-11
Clinical practice patterns greatly diverge from evidence-based recommendations to manage knee osteoarthritis conservatively before resorting to surgery. This study aimed to tailor a guideline-based computerized decision support (CDS) intervention that facilitates the conservative management of knee osteoarthritis. Experts with backgrounds in clinical medicine, research, implementation, or health informatics suggested the most important recommendations for implementation, how to develop an implementation strategy, and how to form the CDS algorithms. In 6 focus group sessions, 8 general practitioners and 22 patients from Norway, Belgium, and Finland discussed the suggested CDS intervention and identified factors that would be most critical for the success of the intervention. The focus group moderators used the GUideline Implementation with DEcision Support checklist, which we developed to support consideration of CDS success factors. The experts prioritized 9 out of 22 recommendations for implementation. We formed the concept for 6 CDS algorithms to support implementation of these recommendations. The focus group suggested 59 unique factors that could affect the success of the presented CDS intervention. Five factors (out of the 59) were prioritized by focus group participants in every country, including the perceived potential to address the information needs of both patients and general practitioners; the credibility of CDS information; the timing of CDS for patients; and the need for personal dialogue about CDS between the general practitioner and the patient. The focus group participants supported the CDS intervention as a tool to improve the quality of care for patients with knee osteoarthritis through shared, evidence-based decision making. We aim to develop and implement the CDS based on these study results. Future research should address optimal ways to (1) provide patient-directed CDS, (2) enable more patient-specific CDS within the context of patient complexity, and (3) maintain user engagement with CDS over time. ©Stijn Van de Velde, Tiina Kortteisto, David Spitaels, Gro Jamtvedt, Pavel Roshanov, Ilkka Kunnamo, Bert Aertgeerts, Per Olav Vandvik, Signe Flottorp. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 11.06.2018.
Hanson, Laura C; Song, Mi-Kyung; Zimmerman, Sheryl; Gilliam, Robin; Rosemond, Cherie; Chisholm, Latarsha; Lin, Feng-Chang
2016-12-01
Ensuring fidelity to a behavioral intervention implemented in nursing homes requires awareness of the unique considerations of this setting for research. The purpose of this article is to describe the goals of care cluster-randomized trial and the methods used to monitor and promote fidelity to a goals of care decision aid intervention delivered in nursing homes. The cluster randomized trial tested whether a decision aid for goals of care in advanced dementia could improve (1) the quality of communication and decision-making, (2) the quality of palliative care, and (3) the quality of dying for nursing home residents with advanced dementia. In 11 intervention nursing homes, family decision-makers for residents with advanced dementia received a two-component intervention: viewing a video decision aid about goals of care choices and then participating in a structured decision-making discussion with the nursing home care plan team, ideally within 3 months after the decision aid was viewed. Following guidelines from the National Institutes of Health Behavior Change Consortium, fidelity was assessed in study design, in nursing home staff training for intervention implementation, and in monitoring and receipt of the intervention. We also monitored the content and timing of goals of care discussions. Investigators enrolled 151 family decision-maker/resident dyads in intervention sites; of those, 136 (90%) received both components of the intervention, and 92%-99% of discussions addressed each of four recommended content areas-health status, goals of care, choice of a goal, and treatment planning. A total of 94 (69%) of the discussions between family decision-makers and the nursing home care team were completed within 3 months. The methods we used for intervention fidelity allowed nursing home staff to implement a goals of care decision aid intervention for advanced dementia. Key supports for implementation included design features that aligned with nursing home practice, efficient staff training, and a structured guide for goals of care discussions between family decision-makers and staff. These approaches may be used to promote fidelity to behavioral interventions in future clinical trials. © The Author(s) 2016.
Dolan, James G; Veazie, Peter J
2015-12-01
Growing recognition of the importance of involving patients in preference-driven healthcare decisions has highlighted the need to develop practical strategies to implement patient-centered shared decision-making. The use of tabular balance sheets to support clinical decision-making is well established. More recent evidence suggests that graphic, interactive decision dashboards can help people derive deeper a understanding of information within a specific decision context. We therefore conducted a non-randomized trial comparing the effects of adding an interactive dashboard to a static tabular balance sheet on patient decision-making. The study population consisted of members of the ResearchMatch registry who volunteered to participate in a study of medical decision-making. Two separate surveys were conducted: one in the control group and one in the intervention group. All participants were instructed to imagine they were newly diagnosed with a chronic illness and were asked to choose between three hypothetical drug treatments, which varied with regard to effectiveness, side effects, and out-of-pocket cost. Both groups made an initial treatment choice after reviewing a balance sheet. After a brief "washout" period, members of the control group made a second treatment choice after reviewing the balance sheet again, while intervention group members made a second treatment choice after reviewing an interactive decision dashboard containing the same information. After both choices, participants rated their degree of confidence in their choice on a 1 to 10 scale. Members of the dashboard intervention group were more likely to change their choice of preferred drug (10.2 versus 7.5%; p = 0.054) and had a larger increase in decision confidence than the control group (0.67 versus 0.075; p < 0.03). There were no statistically significant between-group differences in decisional conflict or decision aid acceptability. These findings suggest that clinical decision dashboards may be an effective point-of-care decision-support tool. Further research to explore this possibility is warranted.
Gifford, Wendy; Lefebre, Nancy; Davies, Barbara
2014-01-01
The aims of this study were to field test and evaluate a series of organizational strategies to promote evidence-informed decision making (EIDM) by nurse managers and clinical leaders in home healthcare. EIDM is central to delivering high-quality and effective healthcare. Barriers exist and organizational strategies are needed to support EIDM. Management and clinical leaders from 4 units participated in a 20-week organization-focused intervention. Preintervention (n = 32) and postintervention (n = 17) surveys and semistructured interviews (n = 15) were completed. Statistically significant increases were found on 4 of 31 survey items reflecting an increased organizational capacity for participants to acquire and apply research evidence in decision making. Support from designated facilitators with advanced skills in finding, appraising, and applying research was the highest rated intervention strategy. Results are useful to inform the development of organizational infrastructures to increase EIDM capacity in community-based healthcare organizations.
ERIC Educational Resources Information Center
Lewis, Timothy J.; Mitchell, Barbara S.
2012-01-01
Students with emotional and behavioral disorders are at great risk for long-term negative outcomes. Researchers and practitioners alike acknowledge the need for evidence-based, preventive, and early intervention strategies. Accordingly, in this chapter an expanded view of prevention is presented as a series of data driven decisions to guide…
Understanding Academic Clinicians' Decision Making for the Treatment of Childhood Obesity.
Bailey, Karen; Cunningham, Charles; Pemberton, Julia; Rimas, Heather; Morrison, Katherine M
2015-12-01
Although most clinicians agree that obesity is a major problem, treatment rates remain low. We conducted this discrete choice experiment (DCE) to understand academic clinicians' decisions in treating childhood obesity. A total of 198 academic pediatric surgeons, pediatricians, family physicians, and allied health professionals were recruited from 15 teaching hospitals across Canada to participate in this DCE. Participants completed 15 tasks choosing between three obesity treatment scenarios to identify the scenario in which they would most likely treat pediatric obesity. Latent class analysis revealed two classes with early intervention and late intervention preferences. Participants in the early intervention group (30%) were sensitive to variations in patient and family support. They would likely intervene if patients were obese, with normal lipid levels, were prediabetic, had high blood pressure, and when obesity was lifestyle associated. Late intervention clinicians (70%) were more likely to intervene if patients were morbidly obese, had abnormal lipid levels, required insulin for diabetes, had very high blood pressure, or when obesity impacted the patient's mental health. Simulations predicted that increasing colleague support for intervention, providing expert consultation, and mobilizing multidisciplinary support would increase the likelihood of treating pediatric obesity earlier from 16.1% to 81.5%. This DCE was implemented to understand the factors clinicians use in making decisions. Most academic clinicians choose to intervene late in the clinical course when more-severe obesity-related morbidities are present. Increased support from colleagues, expert consultation, and multidisciplinary support are likely to lead to earlier treatment of obesity among academic clinicians caring for children.
Platt, Jennica; Baxter, Nancy; Jones, Jennifer; Metcalfe, Kelly; Causarano, Natalie; Hofer, Stefan O P; O'Neill, Anne; Cheng, Terry; Starenkyj, Elizabeth; Zhong, Toni
2013-07-06
The Pre-Consultation Educational Group INTERVENTION pilot study seeks to assess the feasibility and inform the optimal design for a definitive randomized controlled trial that aims to improve the quality of decision-making in postmastectomy breast reconstruction patients. This is a mixed-methods pilot feasibility randomized controlled trial that will follow a single-center, 1:1 allocation, two-arm parallel group superiority design. The University Health Network, a tertiary care cancer center in Toronto, Canada. Adult women referred to one of three plastic and reconstructive surgeons for delayed breast reconstruction or prophylactic mastectomy with immediate breast reconstruction. We designed a multi-disciplinary educational group workshop that incorporates the key components of shared decision-making, decision-support, and psychosocial support for cancer survivors prior to the initial surgical consult. The intervention consists of didactic lectures by a plastic surgeon and nurse specialist on breast reconstruction choices, pre- and postoperative care; a value-clarification exercise led by a social worker; and discussions with a breast reconstruction patient. Usual care includes access to an informational booklet, website, and patient volunteer if desired. Expected pilot outcomes include feasibility, recruitment, and retention targets. Acceptability of intervention and full trial outcomes will be established through qualitative interviews. Trial outcomes will include decision-quality measures, patient-reported outcomes, and service outcomes, and the treatment effect estimate and variability will be used to inform the sample size calculation for a full trial. Our pilot study seeks to identify the (1) feasibility, acceptability, and design of a definitive RCT and (2) the optimal content and delivery of our proposed educational group intervention. Thirty patients have been recruited to date (8 April 2013), of whom 15 have been randomized to one of three decision support workshops. The trial will close as planned in May 2013. NCT01857882.
Hickman, Ronald L; Lipson, Amy R; Pinto, Melissa D; Pignatiello, Grant
2014-04-01
We examined the acceptability and initial efficacy of a multimedia decision support (MDS) intervention to improve intention to complete an advanced directive (AD) among hospitalized adults following an episode of critical illness. We used comparative quasi-experimental posttest only design. Forty-nine hospitalized adults, recovering from a critical illness, received either MDS or AD educational brochure. Demographic characteristics and self-report measures of AD knowledge were captured at baseline and used as covariates. Helpfulness of the intervention (acceptability) and the outcome variable, intention to complete an AD decision, were assessed after exposure to the MDS intervention or educational brochure (information-only control condition). The MDS was a more acceptable form of education compared to a brochure. After adjusting for covariates, participants exposed to the MDS intervention were 24.7 times more likely to intend to complete an AD compared to those who were assigned to the information-only control condition. This pilot study establishes the acceptability and initial efficacy of the MDS intervention among individuals with critical illness, who are at high risk for hospital readmission life-sustaining treatment. This study illuminates a teachable moment in which patients are more receptive to interventions to complete an AD. ©2013 The Author(s) ©2013 American Association of Nurse Practitioners.
A clinical decision support system prototype for cardiovascular intensive care.
Lau, F
1994-08-01
This paper describes the development and validation of a decision-support system prototype that can help manage hypovolemic hypotension in the Cardiovascular Intensive Care Unit (CVICU). The prototype uses physiologic pattern-matching, therapeutic protocols, computational drug-dosage response modeling and expert reasoning heuristics in its selection of intervention strategies and choices. As part of model testing, the prototype simulated real-time operation by processing historical physiologic and intervention data on a patient sequentially, generating alerts on questionable data, critiques of interventions instituted and recommendations on preferred interventions. Bench-testing with 399 interventions from 13 historical cases showed therapies for bleeding and fluid replacement proposed by the prototype were significantly more consistent (p < 0.0001) than those instituted by the staff when compared against expert critiques (80% versus 44%). This study has demonstrated the feasibility of formalizing hemodynamic management of CVICU patients in a manner that may be implemented and evaluated in a clinical setting.
ERIC Educational Resources Information Center
Mercer, Sterett H.; McIntosh, Kent; Hoselton, Robert
2017-01-01
Several reliable and valid fidelity surveys are commonly used to assess Tier 1 implementation in School-Wide Positive Behavioral Interventions and Supports (SWPBIS); however, differences across surveys complicate consequential decisions regarding school implementation status when multiple measures are compared. To address this concern, the current…
Next generation terminology infrastructure to support interprofessional care planning.
Collins, Sarah; Klinkenberg-Ramirez, Stephanie; Tsivkin, Kira; Mar, Perry L; Iskhakova, Dina; Nandigam, Hari; Samal, Lipika; Rocha, Roberto A
2017-11-01
Develop a prototype of an interprofessional terminology and information model infrastructure that can enable care planning applications to facilitate patient-centered care, learn care plan linkages and associations, provide decision support, and enable automated, prospective analytics. The study steps included a 3 step approach: (1) Process model and clinical scenario development, and (2) Requirements analysis, and (3) Development and validation of information and terminology models. Components of the terminology model include: Health Concerns, Goals, Decisions, Interventions, Assessments, and Evaluations. A terminology infrastructure should: (A) Include discrete care plan concepts; (B) Include sets of profession-specific concerns, decisions, and interventions; (C) Communicate rationales, anticipatory guidance, and guidelines that inform decisions among the care team; (D) Define semantic linkages across clinical events and professions; (E) Define sets of shared patient goals and sub-goals, including patient stated goals; (F) Capture evaluation toward achievement of goals. These requirements were mapped to AHRQ Care Coordination Measures Framework. This study used a constrained set of clinician-validated clinical scenarios. Terminology models for goals and decisions are unavailable in SNOMED CT, limiting the ability to evaluate these aspects of the proposed infrastructure. Defining and linking subsets of care planning concepts appears to be feasible, but also essential to model interprofessional care planning for common co-occurring conditions and chronic diseases. We recommend the creation of goal dynamics and decision concepts in SNOMED CT to further enable the necessary models. Systems with flexible terminology management infrastructure may enable intelligent decision support to identify conflicting and aligned concerns, goals, decisions, and interventions in shared care plans, ultimately decreasing documentation effort and cognitive burden for clinicians and patients. Copyright © 2017 Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Greenwood, Charles R.; Beecher, Constance; Atwater, Jane; Petersen, Sarah; Schiefelbusch, Jean; Irvin, Dwight
2018-01-01
A gap exists in the information needed to make intervention decisions with preschool children who are unresponsive to instructional intervention. "Multi-Tiered System of Supports/Response to Intervention" (MTSS/RTI) progress monitoring is helpful in indicating when an intervention change is needed but provides little information on what…
A preliminary psychometric evaluation of the eight-item cognitive load scale.
Pignatiello, Grant A; Tsivitse, Emily; Hickman, Ronald L
2018-04-01
The aim of this article is to report the psychometric properties of the eight-item cognitive load scale. According to cognitive load theory, the formatting and delivery of healthcare education influences the degree to which patients and/or family members can engage their working memory systems for learning. However, despite its relevance, cognitive load has not yet been evaluated among surrogate decision makers exposed to electronic decision support for healthcare decisions. To date, no psychometric analyses of instruments evaluating cognitive load have been reported within healthcare settings. A convenience sample of 62 surrogate decision makers for critically ill patients were exposed to one of two healthcare decision support interventions were recruited from four intensive care units at a tertiary medical center in Northeast Ohio. Participants were administered a battery of psychosocial instruments and the eight-item cognitive load scale (CLS). The CLS demonstrated a bidimensional factor structure with acceptable discriminant validity and internal consistency reliability (Cronbach's α = 0.75 and 0.89). The CLS is a psychometrically sound instrument that may be used in the evaluation of decision support among surrogate decision makers of the critically ill. The authors recommend application of the cognitive load scale in the evaluation and development of healthcare education and interventions. Copyright © 2018 Elsevier Inc. All rights reserved.
Design and Implementation of a Telecardiology System for Mobile Devices.
Cinaglia, Pietro; Tradigo, Giuseppe; Guzzi, Pietro H; Veltri, Pierangelo
2015-09-01
This paper presents the design and implementation of a system for digital telecardiology on mobile devices called Remote Cardio Consultation (RCC). Using RCC may improve first intervention procedures in case of heart attack. In fact, it allows physicians to remotely consult ECG signals from a mobile device or smartphone by using a so-called app. The remote consultation is implemented by a server application collecting physician availability to answer upon client support requests. The app can be used by first intervention clinicians and allows reducing delays and decision errors in emergency interventions. Thus, best decision, certified and supported by cardiologists, can be obtained in case of heart attacks and first interventions even by base medical doctors able to produce and send an ECG. RCC tests have been performed, and the prototype is freely available as a service for testing.
van der Krieke, Lian; Emerencia, Ando C; Boonstra, Nynke; Wunderink, Lex; de Jonge, Peter; Sytema, Sjoerd
2013-10-07
Mental health policy makers encourage the development of electronic decision aids to increase patient participation in medical decision making. Evidence is needed to determine whether these decision aids are helpful in clinical practice and whether they lead to increased patient involvement and better outcomes. This study reports the outcome of a randomized controlled trial and process evaluation of a Web-based intervention to facilitate shared decision making for people with psychotic disorders. The study was carried out in a Dutch mental health institution. Patients were recruited from 2 outpatient teams for patients with psychosis (N=250). Patients in the intervention condition (n=124) were provided an account to access a Web-based information and decision tool aimed to support patients in acquiring an overview of their needs and appropriate treatment options provided by their mental health care organization. Patients were given the opportunity to use the Web-based tool either on their own (at their home computer or at a computer of the service) or with the support of an assistant. Patients in the control group received care as usual (n=126). Half of the patients in the sample were patients experiencing a first episode of psychosis; the other half were patients with a chronic psychosis. Primary outcome was patient-perceived involvement in medical decision making, measured with the Combined Outcome Measure for Risk Communication and Treatment Decision-making Effectiveness (COMRADE). Process evaluation consisted of questionnaire-based surveys, open interviews, and researcher observation. In all, 73 patients completed the follow-up measurement and were included in the final analysis (response rate 29.2%). More than one-third (48/124, 38.7%) of the patients who were provided access to the Web-based decision aid used it, and most used its full functionality. No differences were found between the intervention and control conditions on perceived involvement in medical decision making (COMRADE satisfaction with communication: F1,68=0.422, P=.52; COMRADE confidence in decision: F1,67=0.086, P=.77). In addition, results of the process evaluation suggest that the intervention did not optimally fit in with routine practice of the participating teams. The development of electronic decision aids to facilitate shared medical decision making is encouraged and many people with a psychotic disorder can work with them. This holds for both first-episode patients and long-term care patients, although the latter group might need more assistance. However, results of this paper could not support the assumption that the use of electronic decision aids increases patient involvement in medical decision making. This may be because of weak implementation of the study protocol and a low response rate.
Modelling risk aversion to support decision-making for controlling zoonotic livestock diseases.
van Asseldonk, M A P M; Bergevoet, R H M; Ge, L
2013-12-01
Zoonotic infectious livestock diseases are becoming a significant burden for both animal and human health and are rapidly gaining the attention of decision-makers who manage public health programmes. If control decisions have only monetary components, governments are generally regarded as being risk-neutral and the intervention strategy with the highest expected benefit (lowest expected net costs) should be preferred. However, preferences will differ and alternative intervention plans will prevail if (human) life and death outcomes are involved. A rational decision framework must therefore consider risk aversion in the decision-maker and controversial values related to public health. In the present study, risk aversion and its impact on both the utility for the monetary component and the utility for the non-monetary component is shown to be an important element when dealing with emerging zoonotic infectious livestock diseases and should not be ignored in the understanding and support of decision-making. The decision framework was applied to several control strategies for the reduction of human cases of brucellosis (Brucella melitensis) originating from sheep in Turkey.
Fleming, Paul J; Silverman, Jay; Ghule, Mohan; Ritter, Julie; Battala, Madhusudana; Velhal, Gajanan; Nair, Saritha; Dasgupta, Anindita; Donta, Balaiah; Saggurti, Niranjan; Raj, Anita
2018-03-01
We assess the effect of CHARM, a gender equity and family planning counseling intervention for husbands in rural India, on men's gender ideology. We used a two-armed cluster randomized control trial design and collected survey data from husbands (n=1081) at baseline, 9 months, and 18 months. We used a continuous measure of support for gender equity and a dichotomous measure of equitable attitudes toward women's role in household decision-making. To assess differences on these outcomes, we used generalized linear mixed models. After controlling for socio-demographic factors, men who received the CHARM intervention were significantly more likely than men in the control group to have equitable attitudes toward household decision-making at 9-months follow-up; there was a non-significant difference between the groups for the measure of support for gender equity. For household decision-making, differences were not sustained at 18-months follow-up. Given the role of husbands' gender ideology in women's contraceptive use, the CHARM intervention represents a promising approach for challenging root causes of women's unmet need for contraception. © 2018 The Population Council, Inc.
Kwak, Jung; De Larwelle, Jessica A; Valuch, Katharine O'Connell; Kesler, Toni
2016-01-01
Health care proxies make important end-of-life decisions for individuals with dementia. A cross-sectional survey was conducted to examine the role of advance care planning in proxy decision making for 141 individuals with cognitive impairment, Alzheimer's disease, or other types of dementia. Proxies who did not know the preferences of individuals with dementia for life support treatments reported greater understanding of their values. Proxies of individuals with dementia who did not want life support treatments anticipated receiving less support and were more uncertain in decision making. The greater knowledge proxies had about dementia trajectory, family support, and trust of physicians, the more informed, clearer, and less uncertain they were in decision making. In addition to advance care planning, multiple factors influence proxy decision making, which should be considered in developing interventions and future research to support informed decision making for individuals with dementia and their families. Copyright 2016, SLACK Incorporated.
Addy, Nii Antiaye; Shaban-Nejad, Arash; Buckeridge, David L; Dubé, Laurette
2015-01-23
Multi-stakeholder partnerships (MSPs) have become a widespread means for deploying policies in a whole of society strategy to address the complex problem of childhood obesity. However, decision-making in MSPs is fraught with challenges, as decision-makers are faced with complexity, and have to reconcile disparate conceptualizations of knowledge across multiple sectors with diverse sets of indicators and data. These challenges can be addressed by supporting MSPs with innovative tools for obtaining, organizing and using data to inform decision-making. The purpose of this paper is to describe and analyze the development of a knowledge-based infrastructure to support MSP decision-making processes. The paper emerged from a study to define specifications for a knowledge-based infrastructure to provide decision support for community-level MSPs in the Canadian province of Quebec. As part of the study, a process assessment was conducted to understand the needs of communities as they collect, organize, and analyze data to make decisions about their priorities. The result of this process is a "portrait", which is an epidemiological profile of health and nutrition in their community. Portraits inform strategic planning and development of interventions, and are used to assess the impact of interventions. Our key findings indicate ambiguities and disagreement among MSP decision-makers regarding causal relationships between actions and outcomes, and the relevant data needed for making decisions. MSP decision-makers expressed a desire for easy-to-use tools that facilitate the collection, organization, synthesis, and analysis of data, to enable decision-making in a timely manner. Findings inform conceptual modeling and ontological analysis to capture the domain knowledge and specify relationships between actions and outcomes. This modeling and analysis provide the foundation for an ontology, encoded using OWL 2 Web Ontology Language. The ontology is developed to provide semantic support for the MSP process, defining objectives, strategies, actions, indicators, and data sources. In the future, software interacting with the ontology can facilitate interactive browsing by decision-makers in the MSP in the form of concepts, instances, relationships, and axioms. Our ontology also facilitates the integration and interpretation of community data, and can help in managing semantic interoperability between different knowledge sources. Future work will focus on defining specifications for the development of a database of indicators and an information system to help decision-makers to view, analyze and organize indicators for their community. This work should improve MSP decision-making in the development of interventions to address childhood obesity.
Addy, Nii Antiaye; Shaban-Nejad, Arash; Buckeridge, David L.; Dubé, Laurette
2015-01-01
Multi-stakeholder partnerships (MSPs) have become a widespread means for deploying policies in a whole of society strategy to address the complex problem of childhood obesity. However, decision-making in MSPs is fraught with challenges, as decision-makers are faced with complexity, and have to reconcile disparate conceptualizations of knowledge across multiple sectors with diverse sets of indicators and data. These challenges can be addressed by supporting MSPs with innovative tools for obtaining, organizing and using data to inform decision-making. The purpose of this paper is to describe and analyze the development of a knowledge-based infrastructure to support MSP decision-making processes. The paper emerged from a study to define specifications for a knowledge-based infrastructure to provide decision support for community-level MSPs in the Canadian province of Quebec. As part of the study, a process assessment was conducted to understand the needs of communities as they collect, organize, and analyze data to make decisions about their priorities. The result of this process is a “portrait”, which is an epidemiological profile of health and nutrition in their community. Portraits inform strategic planning and development of interventions, and are used to assess the impact of interventions. Our key findings indicate ambiguities and disagreement among MSP decision-makers regarding causal relationships between actions and outcomes, and the relevant data needed for making decisions. MSP decision-makers expressed a desire for easy-to-use tools that facilitate the collection, organization, synthesis, and analysis of data, to enable decision-making in a timely manner. Findings inform conceptual modeling and ontological analysis to capture the domain knowledge and specify relationships between actions and outcomes. This modeling and analysis provide the foundation for an ontology, encoded using OWL 2 Web Ontology Language. The ontology is developed to provide semantic support for the MSP process, defining objectives, strategies, actions, indicators, and data sources. In the future, software interacting with the ontology can facilitate interactive browsing by decision-makers in the MSP in the form of concepts, instances, relationships, and axioms. Our ontology also facilitates the integration and interpretation of community data, and can help in managing semantic interoperability between different knowledge sources. Future work will focus on defining specifications for the development of a database of indicators and an information system to help decision-makers to view, analyze and organize indicators for their community. This work should improve MSP decision-making in the development of interventions to address childhood obesity. PMID:25625409
Korteland, Nelleke M; Ahmed, Yunus; Koolbergen, David R; Brouwer, Marjan; de Heer, Frederiek; Kluin, Jolanda; Bruggemans, Eline F; Klautz, Robert J M; Stiggelbout, Anne M; Bucx, Jeroen J J; Roos-Hesselink, Jolien W; Polak, Peter; Markou, Thanasie; van den Broek, Inge; Ligthart, Rene; Bogers, Ad J J C; Takkenberg, Johanna J M
2017-02-01
A Dutch online patient decision aid to support prosthetic heart valve selection was recently developed. A multicenter randomized controlled trial was conducted to assess whether use of the patient decision aid results in optimization of shared decision making in prosthetic heart valve selection. In a 5-center randomized controlled trial, patients were allocated to receive either standard preoperative care (control group) or additional access to the patient decision aid (intervention group). Legally capable adult patients accepted for elective isolated or combined aortic and mitral valve replacement were included. Primary outcome was preoperative decisional conflict (Decisional Conflict Scale); secondary outcomes included patient knowledge, involvement in valve selection, anxiety and depression, (valve-specific) quality of life, and regret. Out of 306 eligible patients, 155 were randomized (78 control and 77 intervention). Preoperative decisional conflict did not differ between the groups (34% versus 33%; P =0.834). Intervention patients felt better informed (median Decisional Conflict Scale informed subscore: 8 versus 17; P =0.046) and had a better knowledge of prosthetic valves (85% versus 68%; P =0.004). Intervention patients experienced less anxiety and depression (median Hospital Anxiety and Depression Scale score: 6 versus 9; P =0.015) and better mental well-being (mean Short Form Health Survey score: 54 versus 50; P =0.032). Three months postoperatively, valve-specific quality of life and regret did not differ between the groups. A patient decision aid to support shared decision making in prosthetic heart valve selection does not lower decisional conflict. It does result in more knowledgeable, better informed, and less anxious and depressed patients, with a better mental well-being. http://www.trialregister.nl. Unique identifier: NTR4350. © 2017 American Heart Association, Inc.
Moore, Helen J; Nixon, Catherine; Tariq, Anisah; Emery, Jon; Hamilton, Willie; Hoare, Zoë; Kershenbaum, Anne; Neal, Richard D; Ukoumunne, Obioha C; Usher-Smith, Juliet; Walter, Fiona M; Whyte, Sophie; Rubin, Greg
2016-04-04
For most cancers, only a minority of patients have symptoms meeting the National Institute for Health and Clinical Excellence guidance for urgent referral. For gastro-oesophageal cancers, the 'alarm' symptoms of dysphagia and weight loss are reported by only 32 and 8 % of patients, respectively, and their presence correlates with advanced-stage disease. Electronic clinical decision-support tools that integrate with clinical computer systems have been developed for general practice, although uncertainty remains concerning their effectiveness. The objectives of this trial are to optimise the intervention and establish the acceptability of both the intervention and randomisation, confirm the suitability and selection of outcome measures, finalise the design for the phase III definitive trial, and obtain preliminary estimates of the intervention effect. This is a two-arm, multi-centre, cluster-randomised, controlled phase II trial design, which will extend over a 16-month period, across 60 general practices within the North East and North Cumbria and the Eastern Local Clinical Research Network areas. Practices will be randomised to receive either the intervention (the electronic clinical decision-support tool) or to act as a control (usual care). From these practices, we will recruit 3000 adults who meet the trial eligibility criteria and present to their GP with symptoms suggestive of gastro-oesophageal cancer. The main measures are the process data, which include the practitioner outcomes, service outcomes, diagnostic intervals, health economic outcomes, and patient outcomes. One-on-one interviews in a sub-sample of 30 patient-GP dyads will be undertaken to understand the impact of the use or non-use of the electronic clinical decision-support tool in the consultation. A further 10-15 GPs will be interviewed to identify and gain an understanding of the facilitators and constraints influencing implementation of the electronic clinical decision-support tool in practice. We aim to generate new knowledge on the process measures regarding the use of electronic clinical decision-support tools in primary care in general and to inform a subsequent definitive phase III trial. Preliminary data on the impact of the support tool on resource utilisation and health care costs will also be collected. ISRCTN Registry, ISRCTN12595588 .
Goldbart, Juliet; Chadwick, Darren; Buell, Susan
2014-11-01
People with profound intellectual and multiple disabilities (PMLD) have communication impairments as one defining characteristic. To explore speech and language therapists' (SLTs) decision making in communication interventions for people with PMLD, in terms of the intervention approaches used, the factors informing the decisions to use specific interventions and the extent to which the rationales underpinning these decisions related to the components of evidence based practice (EBP), namely empirical evidence, clinical experience and client/carer views and values. A questionnaire on communication assessment and intervention for people with PMLD was sent to SLTs in the UK to elicit information on: the communication intervention approaches they used; their rationales for their intervention choices; their use of published evidence to inform decision making. Intensive interaction and objects of reference were the communication interventions most often used with people with PMLD, with some differences between children and adults evident. Rationales provided conformed somewhat to the EBP framework though extension of the existing framework and addition of practical and organizational considerations led to a revised typology of rationale for decision making. Rationales most frequently related to the empowerment, development and behavioural preferences of the person with PMLD. Empirical research evidence was seldom mentioned by SLTs as informing intervention decision making leading to very diverse practice. There is a need for further research on the effectiveness of commonly used but under-evaluated interventions. There is also a need to alert SLTs to the evidence base supporting other approaches, particularly switch-based, cause and effect approaches. © 2014 Royal College of Speech and Language Therapists.
Sivell, Stephanie; Edwards, Adrian; Elwyn, Glyn; Manstead, Antony S. R.
2010-01-01
Abstract Objective To describe the evidence about factors influencing breast cancer patients’ surgery choices and the implications for designing decision support in reference to an extended Theory of Planned Behaviour (TPB) and the Common Sense Model of Illness Representations (CSM). Background A wide range of factors are known to influence the surgery choices of women diagnosed with early breast cancer facing the choice of mastectomy or breast conservation surgery with radiotherapy. However, research does not always reflect the complexities of decision making and is often atheoretical. A theoretical approach, as provided by the CSM and the TPB, could help to identify and tailor support by focusing on patients’ representations of their breast cancer and predicting surgery choices. Design Literature search and narrative synthesis of data. Synthesis Twenty‐six studies reported women’s surgery choices to be influenced by perceived clinical outcomes of surgery, appearance and body image, treatment concerns, involvement in decision making and preferences of clinicians. These factors can be mapped onto the key constructs of both the TPB and CSM and used to inform the design and development of decision support interventions to ensure accurate information is provided in areas most important to patients. Conclusions The TPB and CSM have the potential to inform the design of decision support for breast cancer patients, with accurate and clear information that avoids leading patients to make decisions they may come to regret. Further research is needed examining how the components of the extended TPB and CSM account for patients’ surgery choices. PMID:20579123
Peiris, David; Usherwood, Tim; Panaretto, Katie; Harris, Mark; Hunt, Jenny; Patel, Bindu; Zwar, Nicholas; Redfern, Julie; Macmahon, Stephen; Colagiuri, Stephen; Hayman, Noel; Patel, Anushka
2012-01-01
Large gaps exist in the implementation of guideline recommendations for cardiovascular disease (CVD) risk management. Electronic decision support (EDS) systems are promising interventions to close these gaps but few have undergone clinical trial evaluation in Australia. We have developed HealthTracker, a multifaceted EDS and quality improvement intervention to improve the management of CVD risk. It is hypothesised that the use of HealthTracker over a 12-month period will result in: (1) an increased proportion of patients receiving guideline-indicated measurements of CVD risk factors and (2) an increased proportion of patients at high risk will receive guideline-indicated prescriptions for lowering their CVD risk. Sixty health services (40 general practices and 20 Aboriginal Community Controlled Health Services (ACCHSs) will be randomised in a 1:1 allocation to receive either the intervention package or continue with usual care, stratified by service type, size and participation in existing quality improvement initiatives. The intervention consists of point-of-care decision support; a risk communication interface; a clinical audit tool to assess performance on CVD-related indicators; a quality improvement component comprising peer-ranked data feedback and support to develop strategies to improve performance. The control arm will continue with usual care without access to these intervention components. Quantitative data will be derived from cross-sectional samples at baseline and end of study via automated data extraction. Detailed process and economic evaluations will also be conducted. The general practice component of the study is approved by the University of Sydney Human Research Ethics Committee (HREC) and the ACCHS component is approved by the Aboriginal Health and Medical Research Council HREC. Formal agreements with each of the participating sites have been signed. In addition to the usual scientific forums, results will be disseminated via newsletters, study websites, face-to-face feedback forums and workshops. The trial is registered with the Australian Clinical Trials Registry ACTRN 12611000478910.
Preliminary validation of the Satisfaction With Decision scale with depressed primary care patients
Wills, Celia E.; Holmes‐Rovner, Margaret
2003-01-01
Abstract Objective To conduct a preliminary validation of the Satisfaction With Decision (SWD) scale with depressed primary care patients. Design Cross‐sectional observational pilot study using a postal survey. Setting and participants Depressed primary care patients (n = 97) who recently had made a new decision about antidepressant medication use completed surveys regarding their treatment decisions. Main variables Measures included patient‐reported satisfaction with decision, decisional conflict, knowledge about depression and treatment, decision involvement, pain and health status, antidepressant medication efficacy, and satisfaction with health services. Results The SWD scale had good internal consistency reliability (α = 0.85). Evidence for construct validity was confirmed via a hypothesized pattern of relationships between the SWD scale and other measures. Decision satisfaction was associated with several issues of relevance for designing patient‐centred decision support interventions: (1) knowledge about depression and treatment; (2) involvement in health‐related decisions; and (3) aiding evaluation of trade‐offs among pros and cons of treatment. Conclusions The results of this pilot study show that the SWD scale appears to be a psychometrically sound and practical measure for research with this population. Additional research is needed on the theoretical nature of decision satisfaction and developing and testing patient‐centred decision support interventions for depression treatment. PMID:12752743
Piehler, Timothy F.; Winters, Ken C.
2016-01-01
Adolescent decision making has been previously identified as risk factor for substance abuse as well as a proximal intervention target. The study sought to extend this research by evaluating the role of decision-making style in response to parent involvement in brief substance abuse interventions. Adolescents (aged 12–18 years; n= 259) identified in a school setting as abusing alcohol and marijuana were randomly assigned to complete one of two brief interventions (BIs): either a 2-session adolescent-only program (BI-A) or the 2-session adolescent program with an additional parent session (BI-AP). Interventions were manualized and delivered in a school setting by trained counselors. Adolescent decision-making style was evaluated at intake, and alcohol and marijuana use were evaluated at intake and at a 6-month follow-up assessment. Supporting past research with these interventions, BI-AP demonstrated overall stronger outcomes for marijuana when compared to BI-A. Across both intervention models, an adaptive decision-making style (i.e., constructive, rational) assessed at intake predicted greater reductions in marijuana use. A significant moderation effect emerged for alcohol outcomes. Adolescents with maladaptive decision making tendencies (i.e., impulsive/careless, avoidant) demonstrated the largest benefit from the parental involvement in BI-AP, whereas those with a less impulsive style derived little additional benefit from parental involvement in regard to alcohol use outcomes. Implications for the tailoring of brief interventions for adolescent substance abuse are discussed. PMID:27929312
Piehler, Timothy F; Winters, Ken C
2017-04-01
Adolescent decision making has been previously identified as risk factor for substance abuse as well as a proximal intervention target. The study sought to extend this research by evaluating the role of decision-making style in response to parent involvement in brief substance abuse interventions. Adolescents (aged 12 to 18 years; n = 259) identified in a school setting as abusing alcohol and marijuana were randomly assigned to complete 1 of 2 brief interventions (BIs), either a 2-session adolescent-only program (BI-A) or the 2-session adolescent program with an additional parent session (BI-AP). Interventions were manualized and delivered in a school setting by trained counselors. Adolescent decision-making style was evaluated at intake, and alcohol and marijuana use were evaluated at intake and at a 6-month follow-up assessment. Supporting past research with these interventions, BI-AP demonstrated overall stronger outcomes for marijuana when compared with BI-A. Across both intervention models, an adaptive decision-making style (i.e., constructive, rational) assessed at intake predicted greater reductions in marijuana use. A significant moderation effect emerged for alcohol outcomes. Adolescents with maladaptive decision-making tendencies (i.e., impulsive/careless, avoidant) demonstrated the largest benefit from the parental involvement in BI-AP, whereas those with a less impulsive style derived little additional benefit from parental involvement in regard to alcohol use outcomes. Implications for the tailoring of brief interventions for adolescent substance abuse are discussed. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Martinez, Kathryn A; Resnicow, Ken; Williams, Geoffrey C; Silva, Marlene; Abrahamse, Paul; Shumway, Dean A; Wallner, Lauren P; Katz, Steven J; Hawley, Sarah T
2016-12-01
Provider communication that supports patient autonomy has been associated with numerous positive patient outcomes. However, to date, no research has examined the relationship between perceived provider communication style and patient-assessed decision quality in breast cancer. Using a population-based sample of women with localized breast cancer, we assessed patient perceptions of autonomy-supportive communication from their surgeons and medical oncologists, as well as patient-reported decision quality. We used multivariable linear regression to examine the association between autonomy-supportive communication and subjective decision quality for surgery and chemotherapy decisions, controlling for sociodemographic and clinical factors, as well as patient-reported communication preference (non-directive or directive). Among the 1690 women included in the overall sample, patient-reported decision quality scores were positively associated with higher levels of perceived autonomy-supportive communication from surgeons (β=0.30; p<0.001) and medical oncologists (β=0.26; p<0.001). Patient communication style preference moderated the association between physician communication style received and perceived decision quality. Autonomy-supportive communication by physicians was associated with higher subjective decision quality among women with localized breast cancer. These results support future efforts to design interventions that enhance autonomy-supportive communication. Autonomy-supportive communication by cancer doctors can improve patients' perceived decision quality. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Resnicow, Ken; Williams, Geoffrey C.; Silva, Marlene; Abrahamse, Paul; Shumway, Dean; Wallner, Lauren; Katz, Steven; Hawley, Sarah
2016-01-01
Objective Provider communication that supports patient autonomy has been associated with numerous positive patient outcomes. However, to date, no research has examined the relationship between perceived provider communication style and patient-assessed decision quality in breast cancer. Methods Using a population-based sample of women with localized breast cancer, we assessed patient perceptions of autonomy-supportive communication from their surgeons and medical oncologists, as well as patient-reported decision quality. We used multivariable linear regression to examine the association between autonomy-supportive communication and subjective decision quality for surgery and chemotherapy decisions, controlling for sociodemographic and clinical factors, as well as patient-reported communication preference (non-directive or directive). Results Among the 1,690 women included in the overall sample, patient-reported decision quality scores were positively associated with higher levels of perceived autonomy-supportive communication from surgeons (β=0.30; p<0.001) and medical oncologists (β=0.26; p<0.001). Patient communication style preference moderated the association between physician communication style received and perceived decision quality. Conclusion Autonomy-supportive communication by physicians was associated with higher subjective decision quality among women with localized breast cancer. These results support future efforts to design interventions that enhance autonomy-supportive communication. Practice Implications Autonomy-supportive communication by cancer doctors can improve patients’ perceived decision quality. PMID:27395750
Polacsek, Michele; Orr, Joan; Letourneau, Lisa; Rogers, Victoria; Holmberg, Robert; O'Rourke, Karen; Hannon, Cindy; Lombard, Kenneth A; Gortmaker, Steven L
2009-06-01
To evaluate the effect of a pediatric primary care-based intervention, on improved clinical decision support and family management of risk behaviors for childhood overweight. An experimental field trial was conducted with 12 intervention sites in urban and rural areas of Maine and nonrandomized control sites. Change was assessed by using clinical and parent measures from 9 intervention and 10 control sites before and during the Maine Youth Overweight Collaborative intervention. Longitudinal information was collected from chart audits of patients aged 5-18 years (n = 600), systematic samples of parents collected before (n = 346) and during (n = 386) the intervention in 12 sites, and systematic samples of parents in 9 intervention (n = 235) and 10 control (n = 304) sites collected during the intervention. Surveys of health care providers (n = 14 and 17) before and during the intervention were also collected. Teams worked over 18 months to implement improvements in clinical decision support, including tracking BMI percentiles, identification of overweight patients, appropriate laboratory tests, counseling of families and patients use of a behavioral screening tool, and other improvements following the chronic-care model targeting patients aged 5 to 18 and their families. Large changes occurred in clinical practice from before to during the Maine Youth Overweight Collaborative: increases in assessment of BMI (38%-94%), BMI percentile for age and gender (25%-89%), use of the 5-2-1-0 behavioral screening tool (0%-82%), and weight classification (19%-75%). Parent surveys indicated improvements in providers' behavior and rates of counseling. Intervention providers reported improvements in knowledge, attitudes, self-efficacy, and practice. The Maine Youth Overweight Collaborative intervention improved clinical decision support and family management of risk behaviors, indicating a promising primary care-based approach to address overweight risk among children and youth.
Ainscough, Kate M; Lindsay, Karen L; O'Sullivan, Elizabeth J; Gibney, Eileen R; McAuliffe, Fionnuala M
2017-10-01
Antenatal healthy lifestyle interventions are frequently implemented in overweight and obese pregnancy, yet there is inconsistent reporting of the behaviour-change methods and behavioural outcomes. This limits our understanding of how and why such interventions were successful or not. The current paper discusses the application of behaviour-change theories and techniques within complex lifestyle interventions in overweight and obese pregnancy. The authors propose a decision tree to help guide researchers through intervention design, implementation and evaluation. The implications for adopting behaviour-change theories and techniques, and using appropriate guidance when constructing and evaluating interventions in research and clinical practice are also discussed. To enhance the evidence base for successful behaviour-change interventions during pregnancy, adoption of behaviour-change theories and techniques, and use of published guidelines when designing lifestyle interventions are necessary. The proposed decision tree may be a useful guide for researchers working to develop effective behaviour-change interventions in clinical settings. This guide directs researchers towards key literature sources that will be important in each stage of study development.
Anagnostou, Despina; Sivell, Stephanie; Noble, Simon; Lester, Jason; Byrne, Anthony; Sampson, Catherine; Longo, Mirella; Nelson, Annmarie
2017-07-12
Patient-centred care is essential to the delivery of healthcare; however, this necessitates direct patient involvement in clinical decision-making and can be challenging for patients diagnosed with advanced non-small cell lung cancer where there may be misunderstanding of the extent of disease, prognosis and aims of treatment. In this context, decisions are complex and there is a need to balance the risks and benefits, including treatment with palliative intent. The aim of the PACT study is to identify the information and decision support needs of patients, leading to the development of an intervention to support patients with advanced lung cancer when considering treatment options. PACT is a five-stage, multimethod and multicentre study. Participants : Patients and health professionals will be recruited from three health boards. Methods : Non-participant observation of multidisciplinary team meetings (n=12) will be used to determine patients' allocation to treatment pathways (stage I). Non-participant observation of patient-clinician consultations (n=20-30) will be used to explore communication of treatment options and decision-making. Extent of participation in decision-making will be assessed using the Observing Patient Involvement in Shared Decision-Making tool. Interviews with patients (stage III) and their clinicians (stage IV) will explore the perception of treatment options and involvement in decision-making. Based on stages I-IV, an expert consensus meeting will finalise the content and format of the intervention. Cognitive interviews with patients will then determine the face validity of the intervention (stage V). Analysis : analysis will be according to data type and research question and will include mediated discourse analysis, thematic analysis, framework analysis and interpretative phenomenological analysis. Ethical approval has been granted. The study findings will contribute to and promote shared and informed decision-making in the best interest of patients and prudent healthcare. We therefore aim to disseminate results via relevant respiratory, oncology and palliative care journals and conferences. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Harcourt, Diana; Paraskeva, Nicole; White, Paul; Powell, Jane; Clarke, Alex
2017-10-02
Increasingly, women elect breast reconstruction after mastectomy. However, their expectations of surgery are often not met, and dissatisfaction with outcome and ongoing psychosocial concerns and distress are common. We developed a patient-centered intervention, PEGASUS:(Patients' Expectations and Goals: Assisting Shared Understanding of Surgery) which supports shared decision making by helping women clarify their own, individual goals about reconstruction so that they can discuss these with their surgeon. Our acceptability/feasibility work has shown it is well received by patients and health professionals alike. We now need to establish whether PEGASUS improves patients' experiences of breast reconstruction decision making and outcomes. The purpose of this study is, therefore, to examine the effectiveness of PEGASUS, an intervention designed to support shared decision making about breast reconstruction. A multi-centered sequential study will compare the impact of PEGASUS with usual care, in terms of patient reported outcomes (self-reported satisfaction with the outcome of surgery, involvement in decision making and in the consultation) and health economics. Initially we will collect data from our comparison (usual care) group (90 women) who will complete standardized measures (Breast-Q, EQ5D -5 L and ICECAP- A) at the time of decision making, 3, 6 and 12 months after surgery. Health professionals will then be trained to use PEGASUS, which will be delivered to the intervention group (another 90 women completing the same measures at the time of decision making, and 3, 6 and 12 months after surgery). Health professionals and a purposefully selected sample of participants will be interviewed about whether their expectations of reconstruction were met, and their experiences of PEGASUS (if appropriate). PEGASUS may have the potential to provide health professionals with an easily accessible tool aiming to support shared decision making and improve patients' satisfaction with breast reconstruction. Results of this study will be available at the end of 2019. ISRCTN 18000391 (DOI 10.1186/ISRCTN18000391) 27/01/2016.
Zhou, Li; Hongsermeier, Tonya; Boxwala, Aziz; Lewis, Janet; Kawamoto, Kensaku; Maviglia, Saverio; Gentile, Douglas; Teich, Jonathan M; Rocha, Roberto; Bell, Douglas; Middleton, Blackford
2013-01-01
At present, there are no widely accepted, standard approaches for representing computer-based clinical decision support (CDS) intervention types and their structural components. This study aimed to identify key requirements for the representation of five widely utilized CDS intervention types: alerts and reminders, order sets, infobuttons, documentation templates/forms, and relevant data presentation. An XML schema was proposed for representing these interventions and their core structural elements (e.g., general metadata, applicable clinical scenarios, CDS inputs, CDS outputs, and CDS logic) in a shareable manner. The schema was validated by building CDS artifacts for 22 different interventions, targeted toward guidelines and clinical conditions called for in the 2011 Meaningful Use criteria. Custom style sheets were developed to render the XML files in human-readable form. The CDS knowledge artifacts were shared via a public web portal. Our experience also identifies gaps in existing standards and informs future development of standards for CDS knowledge representation and sharing.
Evans, Chalanda; Hamilton, Rebekah J; Tercyak, Kenneth P; Peshkin, Beth N; Rabemananjara, Kantoniony; Isaacs, Claudine; O'Neill, Suzanne C
2016-06-28
Young women from hereditary breast and ovarian cancer (HBOC) families face a series of medical decisions regarding their cancer risk management and integrating this information into their life planning. This presents unique medical and psychosocial challenges that exist without comprehensive intervention. To help lay the groundwork for intervention, we conducted a qualitative study among young women from HBOC families (N = 12; Mean age = 22) and cancer genetic counselors (N = 12) to explicate domains most critical to caring for this population. Women and counselors were interviewed by telephone. The predominant interview themes included preventative care planning and risk management, decision making around the pros and cons of cancer risk assessment, medical management, and psychosocial stresses experienced. Young women endorsed psychosocial stress significantly more frequently than did counselors. Both groups noted the short- and long-term decision making challenges and the support and conflict engendered among familial relationships. Our results suggest young women value the support they receive from their families and their genetic counselors, but additional, external supports are needed to facilitate adaptation to HBOC risk. In feedback interviews focused on intervention planning with a subset of these young women (N = 9), they endorsed the predominant interview themes discovered as important intervention content, a structure that would balance discussion of medical information and psychosocial skill-building that could be tailored to the young women's needs, and delivery by trained peers familiar with HBOC risk.
Evans, Chalanda; Hamilton, Rebekah J.; Tercyak, Kenneth P.; Peshkin, Beth N.; Rabemananjara, Kantoniony; Isaacs, Claudine; O’Neill, Suzanne C.
2016-01-01
Young women from hereditary breast and ovarian cancer (HBOC) families face a series of medical decisions regarding their cancer risk management and integrating this information into their life planning. This presents unique medical and psychosocial challenges that exist without comprehensive intervention. To help lay the groundwork for intervention, we conducted a qualitative study among young women from HBOC families (N = 12; Mean age = 22) and cancer genetic counselors (N = 12) to explicate domains most critical to caring for this population. Women and counselors were interviewed by telephone. The predominant interview themes included preventative care planning and risk management, decision making around the pros and cons of cancer risk assessment, medical management, and psychosocial stresses experienced. Young women endorsed psychosocial stress significantly more frequently than did counselors. Both groups noted the short- and long-term decision making challenges and the support and conflict engendered among familial relationships. Our results suggest young women value the support they receive from their families and their genetic counselors, but additional, external supports are needed to facilitate adaptation to HBOC risk. In feedback interviews focused on intervention planning with a subset of these young women (N = 9), they endorsed the predominant interview themes discovered as important intervention content, a structure that would balance discussion of medical information and psychosocial skill-building that could be tailored to the young women’s needs, and delivery by trained peers familiar with HBOC risk. PMID:27417623
Preferences for intervention among Peruvian women in intimate partner violence relationships.
Cripe, Swee May; Espinoza, Damarys; Rondon, Marta B; Jimenez, Maria Luisa; Sanchez, Elena; Ojeda, Nely; Sanchez, Sixto; Williams, Michelle A
2015-01-01
We sought to identify what abused Peruvian women want or need as intervention strategies. We conducted five focus groups with 30 women with prior or current experience with intimate partner violence. Participants noted that abused women need compassionate support, professional counseling, and informational and practical (e.g., work skills training, employment, shelter, financial support) interventions. We propose a 2-tiered intervention strategy that includes community support groups and individual professional counseling. This strategy is intended to offer broad coverage, meeting the needs of large groups of women who experience abuse, whereas providing specialized counseling for those requiring intensive support. Respect for each woman's autonomy in the decision-making process is a priority. Interventions targeted toward women and men should address structural factors that contribute to violence against women.
Preferences for Intervention Among Peruvian Women in Intimate Partner Violence Relationships
Cripe, Swee May; Espinoza, Damarys; Rondon, Marta B.; Jimenez, Maria Luisa; Sanchez, Elena; Ojeda, Nely; Sanchez, Sixto; Williams, Michelle A.
2015-01-01
We sought to identify what abused Peruvian women want or need as intervention strategies. We conducted five focus groups with thirty women with prior or current experience with intimate partner violence. Participants noted that abused women need compassionate support, professional counseling, informational and practical (e.g., work skills training, employment, shelter, financial support) interventions. We propose a two-tiered intervention strategy that includes community support groups and individual professional counseling. This strategy is intended to offer broad coverage, meeting the needs of large groups of women who experience abuse, while providing specialized counseling for those requiring intensive support. Respect for each woman’s autonomy in the decision-making process is a priority. Interventions targeted towards women and men should address structural factors that contribute to violence against women. PMID:25741931
Morain, Stephanie; Mello, Michelle M
2013-03-01
The high prevalence of chronic diseases in the United States with lifestyle-related risk factors, such as obesity and tobacco use, has sparked interest in legal strategies to influence health behavior. However, little is known about the public's willingness to accept these policies as legitimate, which in turn may affect compliance. We present results from a national survey of 1,817 US adults concerning the acceptability of different public health legal interventions that address noncommunicable, or chronic, diseases. We found that support for these new interventions is high overall; substantially greater among African Americans and Hispanics than among whites; and tied to perceptions of democratic representation in policy making. There was much support for strategies that enable people to exercise healthful choices--for example, menu labeling and improving access to nicotine patches--but considerably less for more coercive measures, such as insurance premium surcharges. These findings suggest that the least coercive path will be the smoothest and that support for interventions may be widespread among different social groups. In addition, the findings underscore the need for policy makers to involve the public in decision making, understand the public's values, and communicate how policy decisions reflect this understanding.
Brooks, Alan; Ba-Nguz, Antoinette
2012-01-01
Traditionally it has taken years or decades for new public health interventions targeting diseases found in developing countries to be accessible to those most in need. One reason for the delay has been insufficient anticipation of the eventual processes and evidence required for decision making by countries. This paper describes research into the anticipated processes and data needed to inform decision making on malaria vaccines, the most advanced of which is still in phase 3 trials. From 2006 to 2008, a series of country consultations in Africa led to the development of a guide to assist countries in preparing their malaria vaccine decision-making frameworks. The guide builds upon the World Health Organization’s Vaccine Introduction Guidelines. It identifies the processes and data for decisions, when they would be needed relative to the development timelines of the intervention, and where they will come from. Policy development will be supported by data (e.g. malaria disease burden; roles of other malaria interventions; malaria vaccine impact; economic and financial issues; malaria vaccine efficacy, quality and safety) as will implementation decisions (e.g. programmatic issues and socio-cultural environment). This generic guide can now be applied to any future malaria vaccine. The paper discusses the opportunities and challenges to early planning for country decision-making—from the potential for timely, evidence-informed decisions to the risks of over-promising around an intervention still under development. Careful and well-structured planning by countries is an important way to ensure that new interventions do not remain unused for years or decades after they become available. PMID:22513733
Design of decision support interventions for medication prescribing.
Horsky, Jan; Phansalkar, Shobha; Desai, Amrita; Bell, Douglas; Middleton, Blackford
2013-06-01
Describe optimal design attributes of clinical decision support (CDS) interventions for medication prescribing, emphasizing perceptual, cognitive and functional characteristics that improve human-computer interaction (HCI) and patient safety. Findings from published reports on success, failures and lessons learned during implementation of CDS systems were reviewed and interpreted with regard to HCI and software usability principles. We then formulated design recommendations for CDS alerts that would reduce unnecessary workflow interruptions and allow clinicians to make informed decisions quickly, accurately and without extraneous cognitive and interactive effort. Excessive alerting that tends to distract clinicians rather than provide effective CDS can be reduced by designing only high severity alerts as interruptive dialog boxes and less severe warnings without explicit response requirement, by curating system knowledge bases to suppress warnings with low clinical utility and by integrating contextual patient data into the decision logic. Recommended design principles include parsimonious and consistent use of color and language, minimalist approach to the layout of information and controls, the use of font attributes to convey hierarchy and visual prominence of important data over supporting information, the inclusion of relevant patient data in the context of the alert and allowing clinicians to respond with one or two clicks. Although HCI and usability principles are well established and robust, CDS and EHR system interfaces rarely conform to the best known design conventions and are seldom conceived and designed well enough to be truly versatile and dependable tools. These relatively novel interventions still require careful monitoring, research and analysis of its track record to mature. Clarity and specificity of alert content and optimal perceptual and cognitive attributes, for example, are essential for providing effective decision support to clinicians. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.
Emerencia, Ando C; Boonstra, Nynke; Wunderink, Lex; de Jonge, Peter; Sytema, Sjoerd
2013-01-01
Background Mental health policy makers encourage the development of electronic decision aids to increase patient participation in medical decision making. Evidence is needed to determine whether these decision aids are helpful in clinical practice and whether they lead to increased patient involvement and better outcomes. Objective This study reports the outcome of a randomized controlled trial and process evaluation of a Web-based intervention to facilitate shared decision making for people with psychotic disorders. Methods The study was carried out in a Dutch mental health institution. Patients were recruited from 2 outpatient teams for patients with psychosis (N=250). Patients in the intervention condition (n=124) were provided an account to access a Web-based information and decision tool aimed to support patients in acquiring an overview of their needs and appropriate treatment options provided by their mental health care organization. Patients were given the opportunity to use the Web-based tool either on their own (at their home computer or at a computer of the service) or with the support of an assistant. Patients in the control group received care as usual (n=126). Half of the patients in the sample were patients experiencing a first episode of psychosis; the other half were patients with a chronic psychosis. Primary outcome was patient-perceived involvement in medical decision making, measured with the Combined Outcome Measure for Risk Communication and Treatment Decision-making Effectiveness (COMRADE). Process evaluation consisted of questionnaire-based surveys, open interviews, and researcher observation. Results In all, 73 patients completed the follow-up measurement and were included in the final analysis (response rate 29.2%). More than one-third (48/124, 38.7%) of the patients who were provided access to the Web-based decision aid used it, and most used its full functionality. No differences were found between the intervention and control conditions on perceived involvement in medical decision making (COMRADE satisfaction with communication: F1,68=0.422, P=.52; COMRADE confidence in decision: F1,67=0.086, P=.77). In addition, results of the process evaluation suggest that the intervention did not optimally fit in with routine practice of the participating teams. Conclusions The development of electronic decision aids to facilitate shared medical decision making is encouraged and many people with a psychotic disorder can work with them. This holds for both first-episode patients and long-term care patients, although the latter group might need more assistance. However, results of this paper could not support the assumption that the use of electronic decision aids increases patient involvement in medical decision making. This may be because of weak implementation of the study protocol and a low response rate. Trial Registration Dutch Trial Register (NTR) trial number: 10340; http://www.trialregister.nl/trialreg/admin/rctsearch.asp?Term=10340 (Archived by WebCite at http://www.webcitation.org/6Jj5umAeS). PMID:24100091
Decision support for risk prioritisation of environmental health hazards in a UK city.
Woods, Mae; Crabbe, Helen; Close, Rebecca; Studden, Mike; Milojevic, Ai; Leonardi, Giovanni; Fletcher, Tony; Chalabi, Zaid
2016-03-08
There is increasing appreciation of the proportion of the health burden that is attributed to modifiable population exposure to environmental health hazards. To manage this avoidable burden in the United Kingdom (UK), government policies and interventions are implemented. In practice, this procedure is interdisciplinary in action and multi-dimensional in context. Here, we demonstrate how Multi Criteria Decision Analysis (MCDA) can be used as a decision support tool to facilitate priority setting for environmental public health interventions within local authorities. We combine modelling and expert elicitation to gather evidence on the impacts and ranking of interventions. To present the methodology, we consider a hypothetical scenario in a UK city. We use MCDA to evaluate and compare the impact of interventions to reduce the health burden associated with four environmental health hazards and rank them in terms of their overall performance across several criteria. For illustrative purposes, we focus on heavy goods vehicle controls to reduce outdoor air pollution, remediation to control levels of indoor radon, carbon monoxide and fitting alarms, and encouraging cycling to target the obesogenic environment. Regional data was included as model evidence to construct a ratings matrix for the city. When MCDA is performed with uniform weights, the intervention of heavy goods vehicle controls to reduce outdoor air pollution is ranked the highest. Cycling and the obesogenic environment is ranked second. We argue that a MCDA based approach provides a framework to guide environmental public health decision makers. This is demonstrated through an online interactive MCDA tool. We conclude that MCDA is a transparent tool that can be used to compare the impact of alternative interventions on a set of pre-defined criteria. In our illustrative example, we ranked the best intervention across the equally weighted selected criteria out of the four alternatives. Further work is needed to test the tool with decision makers and stakeholders.
Improving non-technical skills (teamwork) in post-partum haemorrhage: A grouped randomised trial.
Letchworth, Pippa M; Duffy, Shane P; Phillips, Dan
2017-10-01
To determine the effect of a decision support technology on teamwork and associated non-technical (NTS) and technical skills when teams manage post-partum haemorrhage (PPH) in the simulated environment. Multidisciplinary (MDT) maternity teams were taught how to manage post partum haemorrhage. They were randomised to the intervention: using a decision support mobile digital platform or a control group. Each team managed a post-partum simulation, which was recorded and reviewed by assessors. Primary outcome measures to assess teams NTS were the validated Global Assessment of Obstetric Team Performance (GAOTP) and Clinical Teamwork Scale (CTS). Secondary outcome measures were the 'friends and family test', technical skills, and the System Usability Scale (SUS). Sample size estimation was calculated by using 80% power 5% significance two tailed test (p1=85% p2=40%) n=34. 38 teams from August 2014-February 2016, were recruited, technical issues with failure of recording equipment meant 4 teams were excluded from teamwork analysis (1 intervention 3 control). Teamwork improved across all domains with the intervention (using a decision support mobile digital platform) p <0.01. CTS improved between 6.7-16.8% (average 14.2%) and GAOTP between 8.6-17.1% (average 13.5%) for all domains. Using the control group as baseline, the intervention improved teamwork by 25% using CTS and 22% using GAOTP. Fewer technical skills were missed with the intervention (p<0.01). There was no statistical difference in the time technical skills were achieved. Assessors were more likely to recommend intervention teams 87.5% (77/88) than control teams 63.6% (56/88) p<0.01 to their friends or family. The SUS was 'Good' (69) becoming excellently 'Usable' (81.6) over the study period. We report a decision support system, which improved NTS when managing PPH. Lack of teamwork is often cited as the cause of failures in care and we report a usable technology that assists with and improves teamwork during an emergency. Copyright © 2017 Elsevier B.V. All rights reserved.
Tuffaha, Haitham W; Roberts, Shelley; Chaboyer, Wendy; Gordon, Louisa G; Scuffham, Paul A
2015-04-01
Pressure ulcers are a major cause of mortality, morbidity, and increased healthcare cost. Nutritional support may reduce the incidence of pressure ulcers in hospitalised patients who are at risk of pressure ulcer and malnutrition. To evaluate the cost-effectiveness of nutritional support in preventing pressure ulcers in high-risk hospitalised patients, and to assess the value of further research to inform the decision to implement this intervention using value of information analysis (VOI). The analysis was from the perspective of Queensland Health, Australia using a decision model with evidence derived from a systematic review and meta-analysis. Resources were valued using 2014 prices and the time horizon of the analysis was one year. Monte Carlo simulation was used to estimate net monetary benefits (NB) and to calculate VOI measures. Compared with standard hospital diet, nutritional support was cost saving at AU$425 per patient, and more effective with an average 0.005 quality-adjusted life years (QALY) gained. At a willingness-to-pay of AU$50,000 per QALY, the incremental NB was AU$675 per patient, with a probability of 87 % that nutritional support is cost-effective. The expected value of perfect information was AU$5 million and the expected value of perfect parameter information was highest for the relative risk of developing a pressure ulcer at AU$2.5 million. For a future trial investigating the relative effectiveness of the interventions, the expected net benefit of research would be maximised at AU$100,000 with 1,200 patients in each arm if nutritional support was perfectly implemented. The opportunity cost of withholding the decision to implement the intervention until the results of the future study are available would be AU$14 million. Nutritional support is cost-effective in preventing pressure ulcers in high-risk hospitalised patients compared with standard diet. Future research to reduce decision uncertainty is worthwhile; however, given the opportunity losses associated with delaying the implementation, "implement and research" is the approach recommended for this intervention.
Improving performance with clinical decision support.
Brailer, D J; Goldfarb, S; Horgan, M; Katz, F; Paulus, R A; Zakrewski, K
1996-07-01
CADU/CIS (Clinical and Administrative Decision-support Utility and Clinical Information System) is a clinical decision-support workstation that allows large volumes of clinical information systems data to be analyzed in a timely and user-friendly fashion. CARE PROCESS MEASUREMENT: For any given disease, subgroups of patients are identified, and automated, customized "clinical pathways" are generated. For each subgroup, the best practice norms for use of test and therapies are identified. Practice style variations are then compared to outcomes to focus inquiry on decisions that significantly affect outcomes. INTESTINAL OBSTRUCTION: Graduate Health Systems, a multisite integrated provider in the Philadelphia area, has used CADU/CIS to improve quality problems, reduce treatment-intensity variations, and improve clinical participation in care process evaluation and decision making. A task force selected intestinal obstruction without hernia as its first study because of the related high-volume and high-morbidity complications. Use of a ten-step method for clinical performance improvement showed that the intravenous administration of unnecessary fluids to 104 patients with intestinal obstruction induced congestive heart failure (CHF) in 5 patients. Task force members and other practicing physicians are now developing guidelines and other interventions aimed at fluid use. Indeed, the task force used CADU/CIS to identify an additional 250 patients in one year whose conditions were complicated by CHF. A clinical decision support tool can be instrumental in detecting problems with important clinical and economic implications, identifying their important underlying causes, tracking the associated tests and therapies, and monitoring interventions.
Evaluating child welfare policies with decision-analytic simulation models.
Goldhaber-Fiebert, Jeremy D; Bailey, Stephanie L; Hurlburt, Michael S; Zhang, Jinjin; Snowden, Lonnie R; Wulczyn, Fred; Landsverk, John; Horwitz, Sarah M
2012-11-01
The objective was to demonstrate decision-analytic modeling in support of Child Welfare policymakers considering implementing evidence-based interventions. Outcomes included permanency (e.g., adoptions) and stability (e.g., foster placement changes). Analyses of a randomized trial of KEEP-a foster parenting intervention-and NSCAW-1 estimated placement change rates and KEEP's effects. A microsimulation model generalized these findings to other Child Welfare systems. The model projected that KEEP could increase permanency and stability, identifying strategies targeting higher-risk children and geographical regions that achieve benefits efficiently. Decision-analytic models enable planners to gauge the value of potential implementations.
Decision counseling and participation in a pancreas cancer registry.
Myers, Ronald; Lavu, Harish; Keith, Scott W; Kelly, Heidi; O'Rourke, Nadine; Cocroft, James; Quinn, Anna; Potluri, Vishnu; Yeo, Charles J
2014-01-01
Cancer registries play a vital role in research, as they provide important data that can be used to assess disease etiology and risk. Specialty registries can help to address the need for information on defined cancer types. However, achieving high rates of participation in such registries is problematic.We studied the impact of decision support on patient participation in a hospital-based pancreas cancer registry, the Jefferson Pancreas Tumor Registry (JPTR). In this study, we assembled a nonrandomized cohort of 40 patients, of whom 20 were exposed to the intervention and 20 were exposed to routine recruiting methods. Patients in the control group were invited to join the JPTR; while those in the intervention group were also invited to join the JPTR, and received decision support related to participation. Registry participation was assessed at 90 days. At baseline, patient gender, race, and stage of pancreatic cancer did not vary significantly between study groups. Overall, participation in the intervention group was significantly higher (P = 0.01) than in the control group (55% and 10%, respectively). In the intervention group, altruism was the major factor motivating patient participation, while patient concerns related to treatment recovery, registration time and complexity, and the confidentiality of registry data discouraged participation.
Nutley, Tara; Gnassou, Léontine; Traore, Moussa; Bosso, Abitche Edwige; Mullen, Stephanie
2014-01-01
Improving a health system requires data, but too often they are unused or under-used by decision makers. Without interventions to improve the use of data in decision making, health systems cannot meet the needs of the populations they serve. In 2008, in Côte d'Ivoire, data were largely unused in health decision-making processes. To implement and evaluate an intervention to improve the use of data in decision making in Cote d'Ivoire. From 2008 to 2012, Cote d'Ivoire sought to improve the use of national health data through an intervention that broadens participation in and builds links between data collection and decision-making processes; identifies information needs; improves data quality; builds capacity to analyze, synthesize, and interpret data; and develops policies to support data use. To assess the results, a Performance of Routine Information System Management Assessment was conducted before and after the intervention using a combination of purposeful and random sampling. In 2008, the sample consisted of the central level, 12 districts, and 119 facilities, and in 2012, the sample consisted of the central level, 20 districts, and 190 health facilities. To assess data use, we developed dichotomous indicators: discussions of analysis findings, decisions taken based on the analysis, and decisions referred to upper management for action. We aggregated the indicators to generate a composite, continuous index of data use. From 2008 to 2012, the district data-use score increased from 40 to 70%; the facility score remained the same - 38%. The central score is not reported, because of a methodological difference in the two assessments. The intervention improved the use of data in decision making at the district level in Côte d'Ivoire. This study provides an example of, and guidance for, implementing a large-scale intervention to improve data-informed decision making.
Randomised cluster trial to support informed parental decision-making for the MMR vaccine
2011-01-01
Background In the UK public concern about the safety of the combined measles, mumps and rubella [MMR] vaccine continues to impact on MMR coverage. Whilst the sharp decline in uptake has begun to level out, first and second dose uptake rates remain short of that required for population immunity. Furthermore, international research consistently shows that some parents lack confidence in making a decision about MMR vaccination for their children. Together, this work suggests that effective interventions are required to support parents to make informed decisions about MMR. This trial assessed the impact of a parent-centred, multi-component intervention (balanced information, group discussion, coaching exercise) on informed parental decision-making for MMR. Methods This was a two arm, cluster randomised trial. One hundred and forty two UK parents of children eligible for MMR vaccination were recruited from six primary healthcare centres and six childcare organisations. The intervention arm received an MMR information leaflet and participated in the intervention (parent meeting). The control arm received the leaflet only. The primary outcome was decisional conflict. Secondary outcomes were actual and intended MMR choice, knowledge, attitude, concern and necessity beliefs about MMR and anxiety. Results Decisional conflict decreased for both arms to a level where an 'effective' MMR decision could be made one-week (effect estimate = -0.54, p < 0.001) and three-months (effect estimate = -0.60, p < 0.001) post-intervention. There was no significant difference between arms (effect estimate = 0.07, p = 0.215). Heightened decisional conflict was evident for parents making the MMR decision for their first child (effect estimate = -0.25, p = 0.003), who were concerned (effect estimate = 0.07, p < 0.001), had less positive attitudes (effect estimate = -0.20, p < 0.001) yet stronger intentions (effect estimate = 0.09, p = 0.006). Significantly more parents in the intervention arm reported vaccinating their child (93% versus 73%, p = 0.04). Conclusions Whilst both the leaflet and the parent meeting reduced parents' decisional conflict, the parent meeting appeared to enable parents to act upon their decision leading to vaccination uptake. PMID:21679432
Stewart, G B; Mengersen, K; Meader, N
2014-03-01
Bayesian networks (BNs) are tools for representing expert knowledge or evidence. They are especially useful for synthesising evidence or belief concerning a complex intervention, assessing the sensitivity of outcomes to different situations or contextual frameworks and framing decision problems that involve alternative types of intervention. Bayesian networks are useful extensions to logic maps when initiating a review or to facilitate synthesis and bridge the gap between evidence acquisition and decision-making. Formal elicitation techniques allow development of BNs on the basis of expert opinion. Such applications are useful alternatives to 'empty' reviews, which identify knowledge gaps but fail to support decision-making. Where review evidence exists, it can inform the development of a BN. We illustrate the construction of a BN using a motivating example that demonstrates how BNs can ensure coherence, transparently structure the problem addressed by a complex intervention and assess sensitivity to context, all of which are critical components of robust reviews of complex interventions. We suggest that BNs should be utilised to routinely synthesise reviews of complex interventions or empty reviews where decisions must be made despite poor evidence. Copyright © 2013 John Wiley & Sons, Ltd.
Working in partnership: the application of shared decision-making to health visitor practice.
Astbury, Ruth; Shepherd, Ashley; Cheyne, Helen
2017-01-01
To explore the processes that support shared decision-making when health visitors and parents are creating plans to improve the well-being of babies and children. Worldwide, there is a focus on promoting children's well-being to enhance the population health. Within the United Kingdom, health visitors have a key responsibility for working in partnership with parents to support this agenda. Despite evidence that the application of 'shared decision-making' frameworks can increase patient participation, improve patient satisfaction and improve health outcomes, there is limited research linking shared decision-making with health visitor practice. A qualitative, descriptive study. The study was undertaken in two phases: in Phase 1, data were collected by audio recording two health visitor-parent decision-making conversations, in the absence of the researcher, where decisions around planning for a baby or child were being made as part of usual care, and then the participants' experiences were sought through individual questionnaires. In Phase 2, semistructured interviews were conducted with nine health visitors and nine parents in relation to their recent experiences of planning care. Evidence of supportive processes included having a shared understanding around the issue needing to be addressed; being able to identify interventions that were accessible for the family; engaging in decision-making through deep, meaningful conversations using sensitive and responsive approaches; and establishing positive relationships between health visitors and parents, significant others within the family and other professionals. Despite evidence of strong, trusting relationships between parents and health visitors, there were times when shared decision-making was unable to take place due to the absence of supportive processes. Health visitors are aware that planning interventions with parents can be complex. These findings indicate the value of using a shared decision-making framework to structure planning, as application of a framework identified the processes that support a collaborative approach in practice. © 2016 John Wiley & Sons Ltd.
Tsevat, Joel; Justice, Amy C.; Mrus, Joseph M.; Levin, Forrest; Kozal, Michael J.; Mattocks, Kristin; Farber, Steven; Rogers, Michelle; Erdos, Joseph; Brandt, Cynthia; Kudel, Ian; Braithwaite, Ronald
2009-01-01
Abstract Common symptoms associated with HIV disease and its management are often underrecognized and undertreated. A clinical decision support tool for symptom management was developed within the Veterans Health Administration electronic medical record (EMR), aiming at increasing provider awareness of and response to common HIV symptoms. Its feasibility was studied in March to May 2007 by implementing it within a weekly HIV clinic, comparing a 4-week intervention period with a 4-week control period. Fifty-six patients and their providers participated in the study. Patients' perceptions of providers' awareness of their symptoms, proportion of progress notes mentioning any symptom(s) and proportion of care plans mentioning any symptom(s) were measured. The clinical decision support tool used portable electronic “tablets” to elicit symptom information at the time of check-in, filtered, and organized that information into a concise and clinically relevant EMR note available at the point of care, and facilitated clinical responses to that information. It appeared to be well accepted by patients and providers and did not substantially impact workflow. Although this pilot study was not powered to detect effectiveness, 25 (93%) patients in the intervention group reported that their providers were very aware of their symptoms versuas 27 (75%) control patients (p = 0.07). The proportion of providers' notes listing symptoms was similar in both periods; however, there was a trend toward including a greater number of symptoms in intervention period progress notes. The symptom support tool seemed to be useful in clinical HIV care. The Veterans Health Administration EMR may be an effective “laboratory” for developing and testing decision supports. PMID:19538046
Design and usability of heuristic-based deliberation tools for women facing amniocentesis.
Durand, Marie-Anne; Wegwarth, Odette; Boivin, Jacky; Elwyn, Glyn
2012-03-01
Evidence suggests that in decision contexts characterized by uncertainty and time constraints (e.g. health-care decisions), fast and frugal decision-making strategies (heuristics) may perform better than complex rules of reasoning. To examine whether it is possible to design deliberation components in decision support interventions using simple models (fast and frugal heuristics). The 'Take The Best' heuristic (i.e. selection of a 'most important reason') and 'The Tallying' integration algorithm (i.e. unitary weighing of pros and cons) were used to develop two deliberation components embedded in a Web-based decision support intervention for women facing amniocentesis testing. Ten researchers (recruited from 15), nine health-care providers (recruited from 28) and ten pregnant women (recruited from 14) who had recently been offered amniocentesis testing appraised evolving versions of 'your most important reason' (Take The Best) and 'weighing it up' (Tallying). Most researchers found the tools useful in facilitating decision making although emphasized the need for simple instructions and clear layouts. Health-care providers however expressed concerns regarding the usability and clarity of the tools. By contrast, 7 out of 10 pregnant women found the tools useful in weighing up the pros and cons of each option, helpful in structuring and clarifying their thoughts and visualizing their decision efforts. Several pregnant women felt that 'weighing it up' and 'your most important reason' were not appropriate when facing such a difficult and emotional decision. Theoretical approaches based on fast and frugal heuristics can be used to develop deliberation tools that provide helpful support to patients facing real-world decisions about amniocentesis. © 2011 Blackwell Publishing Ltd.
Constantinou, Anthony Costa; Yet, Barbaros; Fenton, Norman; Neil, Martin; Marsh, William
2016-01-01
Inspired by real-world examples from the forensic medical sciences domain, we seek to determine whether a decision about an interventional action could be subject to amendments on the basis of some incomplete information within the model, and whether it would be worthwhile for the decision maker to seek further information prior to suggesting a decision. The method is based on the underlying principle of Value of Information to enhance decision analysis in interventional and counterfactual Bayesian networks. The method is applied to two real-world Bayesian network models (previously developed for decision support in forensic medical sciences) to examine the average gain in terms of both Value of Information (average relative gain ranging from 11.45% and 59.91%) and decision making (potential amendments in decision making ranging from 0% to 86.8%). We have shown how the method becomes useful for decision makers, not only when decision making is subject to amendments on the basis of some unknown risk factors, but also when it is not. Knowing that a decision outcome is independent of one or more unknown risk factors saves us from the trouble of seeking information about the particular set of risk factors. Further, we have also extended the assessment of this implication to the counterfactual case and demonstrated how answers about interventional actions are expected to change when some unknown factors become known, and how useful this becomes in forensic medical science. Copyright © 2015 Elsevier B.V. All rights reserved.
Madden, Gregory R; German Mesner, Ian; Cox, Heather L; Mathers, Amy J; Lyman, Jason A; Sifri, Costi D; Enfield, Kyle B
2018-06-01
We hypothesized that a computerized clinical decision support tool for Clostridium difficile testing would reduce unnecessary inpatient tests, resulting in fewer laboratory-identified events. Census-adjusted interrupted time-series analyses demonstrated significant reductions of 41% fewer tests and 31% fewer hospital-onset C. difficile infection laboratory-identified events following this intervention.Infect Control Hosp Epidemiol 2018;39:737-740.
Robertson, Eden G; Wakefield, Claire E; Signorelli, Christina; Cohn, Richard J; Patenaude, Andrea; Foster, Claire; Pettit, Tristan; Fardell, Joanna E
2018-07-01
We conducted a systematic review to identify the strategies that have been recommended in the literature to facilitate shared decision-making regarding enrolment in pediatric oncology clinical trials. We searched seven databases for peer-reviewed literature, published 1990-2017. Of 924 articles identified, 17 studies were eligible for the review. We assessed study quality using the 'Mixed-Methods Appraisal Tool'. We coded the results and discussions of papers line-by-line using nVivo software. We categorized strategies thematically. Five main themes emerged: 1) decision-making as a process, 2) individuality of the process; 3) information provision, 4) the role of communication, or 5) decision and psychosocial support. Families should have adequate time to make a decision. HCPs should elicit parents' and patients' preferences for level of information and decision involvement. Information should be clear and provided in multiple modalities. Articles also recommended providing training for healthcare professionals and access to psychosocial support for families. High quality, individually-tailored information, open communication and psychosocial support appear vital in supporting decision-making regarding enrollment in clinical trials. These data will usefully inform future decision-making interventions/tools to support families making clinical trial decisions. A solid evidence-base for effective strategies which facilitate shared decision-making is needed. Copyright © 2018 Elsevier B.V. All rights reserved.
Ajay, Vamadevan S; Jindal, Devraj; Roy, Ambuj; Venugopal, Vidya; Sharma, Rakshit; Pawar, Abha; Kinra, Sanjay; Tandon, Nikhil; Prabhakaran, Dorairaj
2016-12-21
The high burden of undetected and undertreated hypertension and diabetes mellitus is a major health challenge worldwide. The mPower Heart Project aimed to develop and test a feasible and scalable intervention for hypertension and diabetes mellitus by task-sharing with the use of a mobile phone-based clinical decision support system at Community Health Centers in Himachal Pradesh, India. The development of the intervention and mobile phone-based clinical decision support system was carried out using mixed methods in five Community Health Centers. The intervention was subsequently evaluated using pre-post evaluation design. During intervention, a nurse care coordinator screened, examined, and entered patient parameters into mobile phone-based clinical decision support system to generate a prescription, which was vetted by a physician. The change in systolic blood pressure, diastolic blood pressure, and fasting plasma glucose (FPG) over 18 months of intervention was quantified using generalized estimating equations models. During intervention, 6797 participants were enrolled. Six thousand sixteen participants had hypertension (mean systolic blood pressure: 146.1 mm Hg, 95% CI: 145.7, 146.5; diastolic blood pressure: 89.52 mm Hg, 95% CI: 89.33, 89.72), of which 3152 (52%) subjects were newly detected. Similarly, 1516 participants had diabetes mellitus (mean FPG: 177.9 mg/dL, 95% CI: 175.8, 180.0), of which 450 (30%) subjects were newly detected. The changes in systolic blood pressure, diastolic blood pressure, and FPG observed at 18 months of follow-up were -14.6 mm Hg (95% CI: -15.3, -13.8), -7.6 mm Hg (CI: -8.0, -7.2), and -50.0 mg/dL (95% CI: -54.6, -45.5), respectively, and were statistically significant even after adjusting for age, sex, and Community Health Center. A nurse-facilitated, mobile phone-based clinical decision support system-enabled intervention in primary care was associated with improvements in blood pressure and blood glucose control and has the potential to scale-up in resource poor settings. URL: https://www.clinicaltrials.gov. Unique identifiers: NCT01794052. Clinical Trial Registry-India: CTRI/2013/02/003412. © 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.
Tractenberg, Rochelle E; Gordon, Morris
2017-01-01
Phenomenon: The purpose of "systematic" reviews/reviewers of medical and health professions educational research is to identify best practices. This qualitative article explores the question of whether systematic reviews can support "evidence informed" teaching and contrasts traditional systematic reviewing with a knowledge translation (KT) approach to this objective. Degrees of freedom analysis (DOFA) is used to examine the alignment of systematic review methods with educational research and the pedagogical strategies and approaches that might be considered with a decision-making framework developed to support valid assessment. This method is also used to explore how KT can be used to inform teaching and learning. The nature of educational research is not compatible with most (11/14) methods for systematic review. The inconsistency of systematic reviewing with the nature of educational research impedes both the identification and implementation of "best-evidence" pedagogy and teaching. This is primarily because research questions that do support the purposes of review do not support educational decision making. By contrast to systematic reviews of the literature, both a DOFA and KT are fully compatible with informing teaching using evidence. A DOFA supports the translation of theory to a specific teaching or learning case, so could be considered a type of KT. The DOFA results in a test of alignment of decision options with relevant educational theory, and KT leads to interventions in teaching or learning that can be evaluated. Examples of how to structure evaluable interventions are derived from a KT approach that are simply not available from a systematic review. Insights: Systematic reviewing of current empirical educational research is not suitable for deriving or supporting best practices in education. However, both "evidence-informed" and scholarly approaches to teaching can be supported as KT projects, which are inherently evaluable and can generate actionable evidence about whether the decision or intervention worked for students, instructors, and the institution. A DOFA can also support evidence- and theory-informed teaching to develop an understanding of what works, why, and for whom. Thus KT, but not systematic reviewing, can support decision making around pedagogy (and pedagogical innovation) that can also inform new teaching and learning initiatives; it can also point to new avenues of empirical research in education that are informed by, and can inform, theory.
Increasing patient involvement in the diabetic foot pathway: a pilot randomized controlled trial.
McBride, E; Hacking, B; O'Carroll, R; Young, M; Jahr, J; Borthwick, C; Callander, A; Berrada, Z
2016-11-01
This pilot study aimed to explore whether the use of an intervention to increase shared decision-making (Decision Navigation) increased decision self-efficacy and foot-treatment adherence in patients with a diabetic foot ulcer. Fifty-six patients with a diabetic foot ulcer were randomized to receive Decision Navigation (N = 30) or usual care (N = 26). Primary outcomes included decision self-efficacy, adherence to foot treatment as reported by the participant and adherence to foot treatment as reported by the clinician. Secondary outcomes included foot ulcer healing rate, health-related quality of life, decision conflict and decision regret. Despite participants rating Decision Navigation as very helpful, mixed analyses of variance revealed no differences in decision self-efficacy or adherence between those receiving Decision Navigation and those receiving usual care. There were no differences between groups with regards to the secondary outcomes, with the exception of decision conflict which increased over time (12 weeks) for those receiving Decision Navigation. An intervention that facilitated patient involvement in treatment decisions did not have any impact on decisional confidence or adherence to foot treatment. This does not provide support for the suggestion that personalized care can improve health-related outcomes at this progressed stage of the patient's disease trajectory. We suggest that the diabetic foot population may benefit from interventions aimed at increasing motivation to engage with care pathways, centred on challenging personal controllability beliefs. © 2016 Diabetes UK.
Nair, Bala G; Grunzweig, Katherine; Peterson, Gene N; Horibe, Mayumi; Neradilek, Moni B; Newman, Shu-Fang; Van Norman, Gail; Schwid, Howard A; Hao, Wei; Hirsch, Irl B; Patchen Dellinger, E
2016-06-01
Poor perioperative glycemic management can lead to negative surgical outcome. Improved compliance to glucose control protocol could lead to better glucose management. An Anesthesia Information Management System based decision support system-Smart Anesthesia Manager™ (SAM) was used to generate real-time reminders to the anesthesia providers to closely adhere to our institutional glucose management protocol. Compliance to hourly glucose measurements and correct insulin dose adjustments was compared for the baseline period (12 months) without SAM and the intervention period (12 months) with SAM decision support. Additionally, glucose management parameters were compared for the baseline and intervention periods. A total of 1587 cases during baseline and 1997 cases during intervention met the criteria for glucose management (diabetic patients or non-diabetic patients with glucose level >140 mg/dL). Among the intervention cases anesthesia providers chose to use SAM reminders 48.7 % of the time primarily for patients who had diabetes, higher HbA1C or body mass index, while disabling the system for the remaining cases. Compliance to hourly glucose measurement and correct insulin doses increased significantly during the intervention period when compared with the baseline (from 52.6 to 71.2 % and from 13.5 to 24.4 %, respectively). In spite of improved compliance to institutional protocol, the mean glucose levels and other glycemic management parameters did not show significant improvement with SAM reminders. Real-time electronic reminders improved intraoperative compliance to institutional glucose management protocol though glycemic parameters did not improve even when there was greater compliance to the protocol.
Mentzakis, Emmanouil; Paolucci, Francesco; Rubicko, Georg
2014-06-01
The impact of mental conditions is expected to be among the highest ranked causes of illness in high income countries by 2020. With changing health needs, policy makers have to make choices in an environment with increasingly constrained resources and competing demands. Discrete choice experiments have been identified as a useful approach to inform and support decision-making in health care systems and, in particular, its rationing. Policymakers, researchers and health practitioners from Austria participated in an experiment designed to elicit preferences for efficiency and equity in a generic priority setting framework. Using aggregate criteria an empirical measure of the efficiency/equity trade-off is calculated and a selection of health care interventions, including mental health, are ranked in composite league tables (CLTs). With the exception of severity of the condition, all equity parameters decrease attractiveness of an intervention, whereas the opposite holds for all three efficiency criteria. The efficiency/equity ratio (i.e. decision-makers' preference for efficiency over equity) is 3.5 and 5 for interventions targeted at younger and middle age populations, respectively, while for older populations this ratio is negative implying a rejection of all equity criteria. Irrespective of such differences interventions targeting mental health rank highly on all CLTs. Based on system-wide generic decision making criteria, mental health is shown to be a top priority for Austria. Preference-based approaches might offer complementary information to policymakers in priority setting decisions and a useful tool to support rationale rather than ad hoc decision-making.
Abidi, Samina; Vallis, Michael; Raza Abidi, Syed Sibte; Piccinini-Vallis, Helena; Imran, Syed Ali
2014-06-01
To develop and evaluate Diabetes Web-Centric Information and Support Environment (D-WISE) that offers 1) a computerized decision-support system to assist physicians to A) use the Canadian Diabetes Association clinical practice guidelines (CDA CPGs) to recommend evidence-informed interventions; B) offer a computerized readiness assessment strategy to help physicians administer behaviour-change strategies to help patients adhere to disease self-management programs; and 2) a patient-specific diabetes self-management application, accessible through smart mobile devices, that offers behaviour-change interventions to engage patients in self-management. The above-mentioned objectives were pursued through a knowledge management approach that involved 1) Translation of paper-based CDA CPGs and behaviour-change models as computerized decision-support tools that will assist physicians to offer evidence-informed and personalized diabetes management and behaviour-change strategies; 2) Engagement of patients in their diabetes care by generating a diabetes self-management program that takes into account their preferences, challenges and needs; 3) Empowering patients to self-manage their condition by providing them with personalized educational and motivational messages through a mobile self-management application. The theoretical foundation of our research is grounded in behaviour-change models and healthcare knowledge management. We used 1) knowledge modelling to computerize the paper-based CDA CPGs and behaviour-change models, in particular, the behaviour-change strategy elements of A) readiness-to-change assessments; B) motivation-enhancement interventions categorized along the lines of patients' being ready, ambivalent or not ready; and C) self-efficacy enhancement. The CDA CPGs and the behaviour-change models are modelled and computerized in terms of A) a diabetes management ontology that serves as the knowledge resource for all the services offered by D-WISE; B) decision support services that use logic-based reasoning algorithms to utilize the knowledge encoded within the diabetes management ontology to assist physicians by recommending patient-specific diabetes-management interventions and behaviour-change strategies; C) a mobile diabetes self-management application to engage and educate diabetes patients to self-manage their condition in a home-based setting while working in concert with their family physicians. We have been successful in creating and conducting a usability assessment of the physician decision support tool. These results will be published once the patient self- management application has been evaluated. D-WISE will be evaluated through pilot studies measuring 1) the usability of the e-Health interventions; and 2) the impact of the interventions on patients' behaviour changes and diabetes control. Copyright © 2014 Canadian Diabetes Association. Published by Elsevier Inc. All rights reserved.
Improving Primary Care Provider Practices in Youth Concussion Management.
Arbogast, Kristy B; Curry, Allison E; Metzger, Kristina B; Kessler, Ronni S; Bell, Jeneita M; Haarbauer-Krupa, Juliet; Zonfrillo, Mark R; Breiding, Matthew J; Master, Christina L
2017-08-01
Primary care providers are increasingly providing youth concussion care but report insufficient time and training, limiting adoption of best practices. We implemented a primary care-based intervention including an electronic health record-based clinical decision support tool ("SmartSet") and in-person training. We evaluated consequent improvement in 2 key concussion management practices: (1) performance of a vestibular oculomotor examination and (2) discussion of return-to-learn/return-to-play (RTL/RTP) guidelines. Data were included from 7284 primary care patients aged 0 to 17 years with initial concussion visits between July 2010 and June 2014. We compared proportions of visits pre- and post-intervention in which the examination was performed or RTL/RTP guidelines provided. Examinations and RTL/RTP were documented for 1.8% and 19.0% of visits pre-intervention, respectively, compared with 71.1% and 72.9% post-intervention. A total of 95% of post-intervention examinations were documented within the SmartSet. An electronic clinical decision support tool, plus in-person training, may be key to changing primary care provider behavior around concussion care.
Berner, Eta S; Houston, Thomas K; Ray, Midge N; Allison, Jeroan J; Heudebert, Gustavo R; Chatham, W Winn; Kennedy, John I; Glandon, Gerald L; Norton, Patricia A; Crawford, Myra A; Maisiak, Richard S
2006-01-01
To evaluate the effectiveness of a personal digital assistant (PDA)-based clinical decision support system (CDSS) on nonsteroidal anti-inflammatory drug (NSAID) prescribing safety in the outpatient setting. The design was a randomized, controlled trial conducted in a university-based resident clinic. Internal medicine residents received a PDA-based CDSS suite. For intervention residents, the CDSS included a prediction rule for NSAID-related gastrointestinal risk assessment and treatment recommendations. Unannounced standardized patients (SPs) trained to portray musculoskeletal symptoms presented to study physicians. Safety outcomes were assessed from the prescriptions given to the SPs. Each prescription was reviewed by a committee of clinicians blinded to participant, intervention group assignment, and baseline or follow-up status. Prescriptions were judged as safe or unsafe. The main outcome measure was the differential change in unsafe prescribing of NSAIDs for the intervention versus the control group. At baseline, the mean proportion of cases per physician with unsafe prescriptions for the two groups was similar (0.27 vs. 0.29, p > 0.05). Controlling for baseline performance, intervention participants prescribed more safely than controls after receiving the CDSS (0.23 vs. 0.45 [F = 4.24, p < 0.05]). With the CDSS, intervention participants documented more complete assessment of patient gastrointestinal risk from NSAIDs. PARTICIPANTS provided with a PDA-based CDSS for NSAID prescribing made fewer unsafe treatment decisions than participants without the CDSS.
Riaño, David; Real, Francis; López-Vallverdú, Joan Albert; Campana, Fabio; Ercolani, Sara; Mecocci, Patrizia; Annicchiarico, Roberta; Caltagirone, Carlo
2012-06-01
Chronically ill patients are complex health care cases that require the coordinated interaction of multiple professionals. A correct intervention of these sort of patients entails the accurate analysis of the conditions of each concrete patient and the adaptation of evidence-based standard intervention plans to these conditions. There are some other clinical circumstances such as wrong diagnoses, unobserved comorbidities, missing information, unobserved related diseases or prevention, whose detection depends on the capacities of deduction of the professionals involved. In this paper, we introduce an ontology for the care of chronically ill patients and implement two personalization processes and a decision support tool. The first personalization process adapts the contents of the ontology to the particularities observed in the health-care record of a given concrete patient, automatically providing a personalized ontology containing only the clinical information that is relevant for health-care professionals to manage that patient. The second personalization process uses the personalized ontology of a patient to automatically transform intervention plans describing health-care general treatments into individual intervention plans. For comorbid patients, this process concludes with the semi-automatic integration of several individual plans into a single personalized plan. Finally, the ontology is also used as the knowledge base of a decision support tool that helps health-care professionals to detect anomalous circumstances such as wrong diagnoses, unobserved comorbidities, missing information, unobserved related diseases, or preventive actions. Seven health-care centers participating in the K4CARE project, together with the group SAGESA and the Local Health System in the town of Pollenza have served as the validation platform for these two processes and tool. Health-care professionals participating in the evaluation agree about the average quality 84% (5.9/7.0) and utility 90% (6.3/7.0) of the tools and also about the correct reasoning of the decision support tool, according to clinical standards. Copyright © 2012 Elsevier Inc. All rights reserved.
Cost-Effectiveness of a Clinical Childhood Obesity Intervention.
Sharifi, Mona; Franz, Calvin; Horan, Christine M; Giles, Catherine M; Long, Michael W; Ward, Zachary J; Resch, Stephen C; Marshall, Richard; Gortmaker, Steven L; Taveras, Elsie M
2017-11-01
To estimate the cost-effectiveness and population impact of the national implementation of the Study of Technology to Accelerate Research (STAR) intervention for childhood obesity. In the STAR cluster-randomized trial, 6- to 12-year-old children with obesity seen at pediatric practices with electronic health record (EHR)-based decision support for primary care providers and self-guided behavior-change support for parents had significantly smaller increases in BMI than children who received usual care. We used a microsimulation model of a national implementation of STAR from 2015 to 2025 among all pediatric primary care providers in the United States with fully functional EHRs to estimate cost, impact on obesity prevalence, and cost-effectiveness. The expected population reach of a 10-year national implementation is ∼2 million children, with intervention costs of $119 per child and $237 per BMI unit reduced. At 10 years, assuming maintenance of effect, the intervention is expected to avert 43 000 cases and 226 000 life-years with obesity at a net cost of $4085 per case and $774 per life-year with obesity averted. Limiting implementation to large practices and using higher estimates of EHR adoption improved both cost-effectiveness and reach, whereas decreasing the maintenance of the intervention's effect worsened the former. A childhood obesity intervention with electronic decision support for clinicians and self-guided behavior-change support for parents may be more cost-effective than previous clinical interventions. Effective and efficient interventions that target children with obesity are necessary and could work in synergy with population-level prevention strategies to accelerate progress in reducing obesity prevalence. Copyright © 2017 by the American Academy of Pediatrics.
Clinical Decision Support in Electronic Prescribing: Recommendations and an Action Plan
Teich, Jonathan M.; Osheroff, Jerome A.; Pifer, Eric A.; Sittig, Dean F.; Jenders, Robert A.
2005-01-01
Clinical decision support (CDS) in electronic prescribing (eRx) systems can improve the safety, quality, efficiency, and cost-effectiveness of care. However, at present, these potential benefits have not been fully realized. In this consensus white paper, we set forth recommendations and action plans in three critical domains: (1) advances in system capabilities, including basic and advanced sets of CDS interventions and knowledge, supporting database elements, operational features to improve usability and measure performance, and management and governance structures; (2) uniform standards, vocabularies, and centralized knowledge structures and services that could reduce rework by vendors and care providers, improve dissemination of well-constructed CDS interventions, promote generally applicable research in CDS methods, and accelerate the movement of new medical knowledge from research to practice; and (3) appropriate financial and legal incentives to promote adoption. PMID:15802474
ERIC Educational Resources Information Center
Saeki, Elina; Jimerson, Shane R.; Earhart, James; Hart, Shelley R.; Renshaw, Tyler; Singh, Renee D.; Stewart, Kaitlyn
2011-01-01
As many schools move toward a three-tier model that incorporates a Response to Intervention (RtI) service delivery model in the social, emotional, and behavioral domains, school psychologists may provide leadership. The decision-making process for filtering students through multiple tiers of support and intervention and examining change is an area…
Mestres Gonzalvo, Carlota; de Wit, Hugo A J M; van Oijen, Brigit P C; Hurkens, Kim P G M; Janknegt, Rob; Schols, Jos M G A; Mulder, Wubbo J; Verhey, Frans R; Winkens, Bjorn; van der Kuy, Paul-Hugo M
2017-01-26
In the nursing home population, it is estimated that 1 in every 3 patients is polymedicated and given their considerable frailty, these patients are especially prone to adverse drug reactions. Clinical pharmacist-led medication reviews are considered successful interventions to improve medication safety in the inpatient setting. Due to the limited available evidence concerning the benefits of medication reviews performed in the nursing home setting, we propose a study aiming to demonstrate a positive effect that a clinical decision support system, as a health care intervention, may have on the target population. The primary objective of this study is to reduce the number of patients with at least one event when using the clinical decision support system compared to the regular care. These events consist of hospital referrals, delirium, falls, and/or deaths. This study is a multicentre, prospective, randomised study with a cluster group design. The randomisation will be per main nursing home physician and stratified per ward (somatic and psychogeriatric). In the intervention group the clinical decision support system will be used to screen medication list, laboratory values and medical history in order to obtain potential clinical relevant remarks. The remarks will be sent to the main physician and feedback will be provided whether the advice was followed or not. In the control group regular care will be applied. We strongly believe that by using a clinical decision support system, medication reviews are performed in a standardised way which leads to comparable results between patients. In addition, using a clinical decision support system eliminates the time factor to perform medication reviews as the major problems related to medication, laboratory values, indications and/or established patient characteristics will be directly available. In this way, and in order to make the medication review process complete, consultation within healthcare professionals and/or the patient itself will be time effective and the medication surveillance could be performed around the clock. The Netherlands National Trial Register NTR5165 . Registered 2nd April 2015.
Krieger, Janice L; Krok-Schoen, Jessica L; Dailey, Phokeng M; Palmer-Wackerly, Angela L; Schoenberg, Nancy; Paskett, Electra D; Dignan, Mark
2017-07-01
Distributed cognition occurs when cognitive and affective schemas are shared between two or more people during interpersonal discussion. Although extant research focuses on distributed cognition in decision making between health care providers and patients, studies show that caregivers are also highly influential in the treatment decisions of patients. However, there are little empirical data describing how and when families exert influence. The current article addresses this gap by examining decisional support in the context of cancer randomized clinical trial (RCT) decision making. Data are drawn from in-depth interviews with rural, Appalachian cancer patients ( N = 46). Analysis of transcript data yielded empirical support for four distinct models of health decision making. The implications of these findings for developing interventions to improve the quality of treatment decision making and overall well-being are discussed.
Lobo, Claudia M; Euser, Lya; Kamp, Jeanine; Frijling, Bernard D; Severens, Johan L; Hulscher, Marlies E J L; Grol, Richard P T M; Prins, Ad; van der Wouden, Johannes C
2003-09-01
To perform a process evaluation of a multifaceted intervention to improve cardiovascular and diabetes care in general practice. The feasibility of the intervention, carried out by outreach visitors in 62 practices, was addressed by evaluating whether the intervention programme was performed as planned and the extent to which it was accepted by the practice team. In addition, the costs of the programme were determined. The intervention was largely carried out as planned, although the intervention period had to be extended by three months. Of the 18 topics that could be addressed during the intervention period, 12 (mean) were addressed. The number of outreach visits per practice was 15.2 (mean), each visit lasted about one hour. Most practice members endorsed both the key recommendations for clinical decision-making and cardiovascular risk profiling. The majority of GPs (range 63-98%) agreed with the guidelines for clinical decision-making, and 29-97% had a positive opinion about the guidelines for practice organisation. According to practice staff members, the outreach visitor had sufficient knowledge and skills to support them in changing the practice organisation. GPs were less positive about the outreach visitor's knowledge and skills in optimising clinical decision-making; however 78% believed that the outreach visitor contributed to effecting change in their clinical decision-making. The total costs of the intervention per practice were Euro 4317. This process evaluation demonstrated that the intervention was usually carried out as planned and achieved a high satisfaction rating from the participating practice members.
Blagec, Kathrin; Koopmann, Rudolf; Crommentuijn-van Rhenen, Mandy; Holsappel, Inge; van der Wouden, Cathelijne H; Konta, Lidija; Xu, Hong; Steinberger, Daniela; Just, Enrico; Swen, Jesse J; Guchelaar, Henk-Jan; Samwald, Matthias
2018-02-09
Clinical pharmacogenomics (PGx) has the potential to make pharmacotherapy safer and more effective by utilizing genetic patient data for drug dosing and selection. However, widespread adoption of PGx depends on its successful integration into routine clinical care through clinical decision support tools, which is often hampered by insufficient or fragmented infrastructures. This paper describes the setup and implementation of a unique multimodal, multilingual clinical decision support intervention consisting of digital, paper-, and mobile-based tools that are deployed across implementation sites in seven European countries participating in the Ubiquitous PGx (U-PGx) project. © The Author(s) 2018. Published by Oxford University Press on behalf of the American Medical Informatics Association.
Comparison of Veteran experiences of low-cost, home-based diet and exercise interventions.
Holtz, Bree; Krein, Sarah L; Bentley, Douglas R; Hughes, Maria E; Giardino, Nicholas D; Richardson, Caroline R
2014-01-01
Obesity is a significant health problem among Veterans who receive care from the Department of Veterans Affairs, as it is for so many other Americans. Veterans from Operation Enduring Freedom (OEF) and Operation Iraqi Freedom (OIF) experience a myriad of chronic conditions, which can make it difficult to maintain a physically active lifestyle. This pilot study tested the feasibility and user satisfaction with three low-cost, home-based diet and exercise programs, as well as point-of-decision prompts among these Veterans. The three programs target mechanisms that have been shown to improve healthy behavior change, including (1) online mediated social support, (2) objective monitoring of physical activity, and (3) structured high-intensity workouts. This was a randomized crossover trial; each participant used two of the three programs, and all used the point-of-decision prompts. Our qualitative results identified five overall themes related to social support, objective monitoring, structured activity, awareness and understanding, and the point-of-decision prompts. In general, participants were satisfied with and lost weight with each of the interventions. This study demonstrated that these low-cost interventions could be successful with the OIF/OEF Veteran population. A larger and longer study is planned to further investigate the effectiveness of these interventions.
Patient-specific computer-based decision support in primary healthcare--a randomized trial.
Kortteisto, Tiina; Raitanen, Jani; Komulainen, Jorma; Kunnamo, Ilkka; Mäkelä, Marjukka; Rissanen, Pekka; Kaila, Minna
2014-01-20
Computer-based decision support systems are a promising method for incorporating research evidence into clinical practice. However, evidence is still scant on how such information technology solutions work in primary healthcare when support is provided across many health problems. In Finland, we designed a trial where a set of evidence-based, patient-specific reminders was introduced into the local Electronic Patient Record (EPR) system. The aim was to measure the effects of such reminders on patient care. The hypothesis was that the total number of triggered reminders would decrease in the intervention group compared with the control group, indicating an improvement in patient care. From July 2009 to October 2010 all the patients of one health center were randomized to an intervention or a control group. The intervention consisted of patient-specific reminders concerning 59 different health conditions triggered when the healthcare professional (HCP) opened and used the EPR. In the intervention group, the triggered reminders were shown to the HCP; in the control group, the triggered reminders were not shown. The primary outcome measure was the change in the number of reminders triggered over 12 months. We developed a unique data gathering method, the Repeated Study Virtual Health Check (RSVHC), and used Generalized Estimation Equations (GEE) for analysing the incidence rate ratio, which is a measure of the relative difference in percentage change in the numbers of reminders triggered in the intervention group and the control group. In total, 13,588 participants were randomized and included. Contrary to our expectation, the total number of reminders triggered increased in both the intervention and the control groups. The primary outcome measure did not show a significant difference between the groups. However, with the inclusion of patients followed up over only six months, the total number of reminders increased significantly less in the intervention group than in the control group when the confounding factors (age, gender, number of diagnoses and medications) were controlled for. Computerized, tailored reminders in primary care did not decrease during the 12 months of follow-up time after the introduction of a patient-specific decision support system. ClinicalTrial.gov NCT00915304.
Beeckman, Dimitri; Clays, Els; Van Hecke, Ann; Vanderwee, Katrien; Schoonhoven, Lisette; Verhaeghe, Sofie
2013-04-01
Frail older people admitted to nursing homes are at risk of a range of adverse outcomes, including pressure ulcers. Clinical decision support systems are believed to have the potential to improve care and to change the behaviour of healthcare professionals. To determine whether a multi-faceted tailored strategy to implement an electronic clinical decision support system for pressure ulcer prevention improves adherence to recommendations for pressure ulcer prevention in nursing homes. Two-armed randomized controlled trial in a nursing home setting in Belgium. The trial consisted of a 16-week implementation intervention between February and June 2010, including one baseline, four intermediate, and one post-testing measurement. Primary outcome was the adherence to guideline-based care recommendations (in terms of allocating adequate pressure ulcer prevention in residents at risk). Secondary outcomes were the change in resident outcomes (pressure ulcer prevalence) and intermediate outcomes (knowledge and attitudes of healthcare professionals). Random sample of 11 wards (6 experimental; 5 control) in a convenience sample of 4 nursing homes in Belgium. In total, 464 nursing home residents and 118 healthcare professionals participated. The experimental arm was involved in a multi-faceted tailored implementation intervention of a clinical decision support system, including interactive education, reminders, monitoring, feedback and leadership. The control arm received a hard-copy of the pressure ulcer prevention protocol, supported by standardized 30 min group lecture. Patients in the intervention arm were significantly more likely to receive fully adequate pressure ulcer prevention when seated in a chair (F=16.4, P=0.003). No significant improvement was observed on pressure ulcer prevalence and knowledge of the professionals. While baseline attitude scores were comparable between both groups [exp. 74.3% vs. contr. 74.5% (P=0.92)], the mean score after the intervention was 83.5% in the experimental group vs. 72.1% in the control group (F=15.12, P<0.001). The intervention was only partially successful to improve the primary outcome. Attitudes improved significantly while the knowledge of the healthcare workers remained unsatisfactorily low. Further research should focus on the underlying reasons for these findings. Copyright © 2012 Elsevier Ltd. All rights reserved.
Pain management interventions in the nursing home: a structured review of the literature.
Herman, Adam D; Johnson, Theodore M; Ritchie, Christine S; Parmelee, Patricia A
2009-07-01
Residents in nursing homes (NHs) experience pain that is underrecognized and undertreated. This pain contributes to a decline in quality of life. Although descriptive studies of pain assessment and management have been conducted, few have been published that critically evaluate interventions to improve pain management. Identification of the strengths and gaps in the current literature is required. A literature search was conducted of clinical trials that evaluated prospective interventions to improve pain management. Information on the intervention type, resident sample and setting, endpoints, and study design were extracted. Studies were classified based on a modification of Donabedian's model of healthcare quality. Four categories of interventions were identified: actor, decision support, treatment, and systems. The search strategy and selection criteria yielded 21 articles. Eleven studies used an actor intervention; of these, eight also employed a systems intervention, and one also used a treatment intervention. Two studies used a decision support intervention, seven used a treatment intervention, and one used a systems intervention. The overall quality of research was uneven in several areas: research design--nine studies were quasi-experimental in nature, endpoints measures were not consistent--three did not perform statistical analysis, and characteristics of the resident samples varied dramatically. In conclusion, the number of high-quality studies of pain management in NHs remains limited. Process endpoints are used as surrogate measures for resident endpoints. Systematic approaches are needed to understand how each type of intervention improves the quality of pain management at the resident level.
Woltmann, Emily M; Wilkniss, Sandra M; Teachout, Alexandra; McHugo, Gregory J; Drake, Robert E
2011-01-01
Involvement of community mental health consumers in mental health decision making has been consistently associated with improvements in health outcomes. Electronic decision support systems (EDSSs) that support both consumer and provider decision making may be a sustainable way to improve dyadic communication in a field with approximately 50% workforce turnover per year. This study examined the feasibility of such a system and investigated proximal outcomes of the system's performance. A cluster randomized design was used to evaluate an EDSS at three urban community mental health sites. Case managers (N=20) were randomly assigned to the EDSS-supported planning group or to the usual care planning group. Consumers (N=80) were assigned to the same group as their case managers. User satisfaction with the care planning process was assessed for consumers and case managers (possible scores range from 1 to 5, with higher summary scores indicating more satisfaction). Recall of the care plan was assessed for consumers. Linear regression with adjustment for grouping by worker was used to assess satisfaction scores. A Wilcoxon rank-sum test was used to examine knowledge of the care plan. Compared with case managers in the control group, those in the intervention group were significantly more satisfied with the care planning process (mean ± SD score=4.0 ± .5 versus 3.3 ± .5; adjusted p=.01). Compared with consumers in the control group, those in the intervention group had significantly greater recall of their care plans three days after the planning session (mean proportion of plan goals recalled=75% ± 28% versus 57% ± 32%; p=.02). There were no differences between the clients in the intervention and control groups regarding satisfaction. This study demonstrated that clients can build their own care plans and negotiate and revise them with their case managers using an EDSS.
Myers, Ronald E; Leader, Amy E; Censits, Jean Hoffman; Trabulsi, Edouard J; Keith, Scott W; Petrich, Anett M; Quinn, Anna M; Den, Robert B; Hurwitz, Mark D; Lallas, Costas D; Hegarty, Sarah E; Dicker, Adam P; Zeigler-Johnson, Charnita M; Giri, Veda N; Ayaz, Hasan; Gomella, Leonard G
2018-02-01
This study aimed to explore the effects of a decision support intervention (DSI) and shared decision making (SDM) on knowledge, perceptions about treatment, and treatment choice among men diagnosed with localized low-risk prostate cancer (PCa). At a multidisciplinary clinic visit, 30 consenting men with localized low-risk PCa completed a baseline survey, had a nurse-mediated online DS session to clarify preference for active surveillance (AS) or active treatment (AT), and met with clinicians for SDM. Participants also completed a follow-up survey at 30 days. We assessed change in treatment knowledge, decisional conflict, and perceptions and identified predictors of AS. At follow-up, participants exhibited increased knowledge (p < 0.001), decreased decisional conflict (p < 0.001), and more favorable perceptions of AS (p = 0.001). Furthermore, 25 of the 30 participants (83 %) initiated AS. Increased family and clinician support predicted this choice (p < 0.001). DSI/SDM prepared patients to make an informed decision. Perceived support of the decision facilitated patient choice of AS.
Field, Terry S; Rochon, Paula; Lee, Monica; Gavendo, Linda; Baril, Joann L; Gurwitz, Jerry H
2010-01-01
Objective: To determine whether a computerized clinical decision support system (CDSS) providing patient specific recommendations in real- time improves the quality of prescribing for long-term care residents with renal insufficiency. Design: A randomized trial within the long-stay units of a large long-term care facility. Randomization was within blocks by unit type. Alerts related to medication prescribing for residents with renal insufficiency were displayed to prescribers in the intervention units and hidden but tracked in control units. Measurement: The proportions of final drug orders that were appropriate were compared between intervention and control units within alert categories: recommended medication doses; recommended administration frequencies; recommendations to avoid the drug; 4) warnings of missing information. Results: The rates of alerts were nearly equal in the intervention and control units: 2.5 per 1000 resident days in the intervention units and 2.4 in the control units. The proportions of dose alerts for which the final drug orders were appropriate were similar between the intervention and control units (relative risk 0.95, 95% confidence interval 0.83, 1.1). For the remaining alert categories significantly higher proportions of final drug orders were appropriate in the intervention units: relative risk 2.4 for maximum frequency (1.4, 4.4); 2.6 for drugs that should be avoided (1.4, 5.0); and 1.8 for alerts to acquire missing information (1.1, 3.4). Overall, final drug orders were appropriate significantly more often than a relative risk 1.2 (1.0, 1.4). By tracking personnel time and expenditures, we estimated the cost of developing the CDSS as $48,668.57. Drug costs saved during the 12 months of the trial are estimated at $2,137. Conclusion: Clinical decision support for physicians prescribing medications for long-term care residents with renal insufficiency can improve the quality of prescribing decisions. However, patient well-being and quality of care rather than the business case related to cost savings are likely to be the key drivers for adoption of this HIT application.
Measuring Clinical Decision Support Influence on Evidence-Based Nursing Practice.
Cortez, Susan; Dietrich, Mary S; Wells, Nancy
2016-07-01
To measure the effect of clinical decision support (CDS) on oncology nurse evidence-based practice (EBP). . Longitudinal cluster-randomized design. . Four distinctly separate oncology clinics associated with an academic medical center. . The study sample was comprised of randomly selected data elements from the nursing documentation software. The data elements were patient-reported symptoms and the associated nurse interventions. The total sample observations were 600, derived from a baseline, posteducation, and postintervention sample of 200 each (100 in the intervention group and 100 in the control group for each sample). . The cluster design was used to support randomization of the study intervention at the clinic level rather than the individual participant level to reduce possible diffusion of the study intervention. An elongated data collection cycle (11 weeks) controlled for temporary increases in nurse EBP related to the education or CDS intervention. . The dependent variable was the nurse evidence-based documentation rate, calculated from the nurse-documented interventions. The independent variable was the CDS added to the nursing documentation software. . The average EBP rate at baseline for the control and intervention groups was 27%. After education, the average EBP rate increased to 37%, and then decreased to 26% in the postintervention sample. Mixed-model linear statistical analysis revealed no significant interaction of group by sample. The CDS intervention did not result in an increase in nurse EBP. . EBP education increased nurse EBP documentation rates significantly but only temporarily. Nurses may have used evidence in practice but may not have documented their interventions. . More research is needed to understand the complex relationship between CDS, nursing practice, and nursing EBP intervention documentation. CDS may have a different effect on nurse EBP, physician EBP, and other medical professional EBP.
Chew, Keng Sheng; Durning, Steven J; van Merriënboer, Jeroen JG
2016-01-01
INTRODUCTION Metacognition is a cognitive debiasing strategy that clinicians can use to deliberately detach themselves from the immediate context of a clinical decision, which allows them to reflect upon the thinking process. However, cognitive debiasing strategies are often most needed when the clinician cannot afford the time to use them. A mnemonic checklist known as TWED (T = threat, W = what else, E = evidence and D = dispositional factors) was recently created to facilitate metacognition. This study explores the hypothesis that the TWED checklist improves the ability of medical students to make better clinical decisions. METHODS Two groups of final-year medical students from Universiti Sains Malaysia, Malaysia, were recruited to participate in this quasi-experimental study. The intervention group (n = 21) received educational intervention that introduced the TWED checklist, while the control group (n = 19) received a tutorial on basic electrocardiography. Post-intervention, both groups received a similar assessment on clinical decision-making based on five case scenarios. RESULTS The mean score of the intervention group was significantly higher than that of the control group (18.50 ± 4.45 marks vs. 12.50 ± 2.84 marks, p < 0.001). In three of the five case scenarios, students in the intervention group obtained higher scores than those in the control group. CONCLUSION The results of this study support the use of the TWED checklist to facilitate metacognition in clinical decision-making. PMID:26778635
Effects of Using a Web-Based Individualized Education Program Decision Making Tutorial
ERIC Educational Resources Information Center
Shriner, James G.; Carty, Susan J.; Rose, Chad A.; Shogren, Karrie A.; Kim, Myungjin; Trach, John S.
2013-01-01
This study explored the effects of a web-based decision support system ("Tutorial") for writing standards-based Individualized Education Programs (IEPs). A total of 35 teachers and 154 students participated across two academic years. Participants were assigned to one of three intervention groups based on level of "Tutorial"…
Effects of Using a Web-Based Individualized Education Program Decision-Making Tutorial
ERIC Educational Resources Information Center
Shriner, James G.; Carty, Susan J.; Rose, Chad A.; Shogren, Karrie A.; Kim, Myungjin; Trach, John S.
2013-01-01
This study explored the effects of a web-based decision support system ("Tutorial") for writing standards-based Individualized Education Programs (IEPs). A total of 35 teachers and 154 students participated across two academic years. Participants were assigned to one of three intervention groups based on level of "Tutorial"…
Riley, Jennifer; Burgess, Rob; Schwartz, Brian
2004-07-01
To compare the documentation of decision-making capacity by advanced life support (ALS) providers and signature acquisition before, one month after, and one year after an educational intervention. The intervention comprised a one-and-a-half-hour module on assessment and documentation of decision-making capacity. Ambulance call reports were reviewed for all ALS calls occurring during three two-month periods, and refusals of transport were recorded. Provider compliance with documentation of decision-making capacity and signature acquisition were determined from a convenience sample of 75 reports from each period. Reviewers were blinded to study period. Twenty-percent double data entry was undertaken to evaluate accuracy. Ninety-five percent confidence intervals were calculated to compare frequencies of cancelled calls and documentation. From the emergency medical services database, 7,744 calls before the intervention, 7,444 immediately after, and 7,604 one year later were identified. Documentation rates in the second and third periods did not differ from that prior to the intervention (1.3% vs. 0.0% and 0.0% in subsequent periods), nor did the rates of signature acquisition differ (85.3% vs. 85.3% and 78.6%). The accuracy of data entry was 92.6%. However, the frequency of call refusals decreased significantly after the intervention (from 9.0% to 2.0% and 6.6% in the respective periods). An educational intervention resulted in no change in the rate of decision-making capacity documentation or signature acquisition by ALS providers for refusal of transport. There was a temporary increase in the number of transported patients.
POLE.VAULT: A Semantic Framework for Health Policy Evaluation and Logical Testing.
Shaban-Nejad, Arash; Okhmatovskaia, Anya; Shin, Eun Kyong; Davis, Robert L; Buckeridge, David L
2017-01-01
The major goal of our study is to provide an automatic evaluation framework that aligns the results generated through semantic reasoning with the best available evidence regarding effective interventions to support the logical evaluation of public health policies. To this end, we have designed the POLicy EVAlUation & Logical Testing (POLE.VAULT) Framework to assist different stakeholders and decision-makers in making informed decisions about different health-related interventions, programs and ultimately policies, based on the contextual knowledge and the best available evidence at both individual and aggregate levels.
Spatially explicit multi-criteria decision analysis for managing vector-borne diseases
2011-01-01
The complex epidemiology of vector-borne diseases creates significant challenges in the design and delivery of prevention and control strategies, especially in light of rapid social and environmental changes. Spatial models for predicting disease risk based on environmental factors such as climate and landscape have been developed for a number of important vector-borne diseases. The resulting risk maps have proven value for highlighting areas for targeting public health programs. However, these methods generally only offer technical information on the spatial distribution of disease risk itself, which may be incomplete for making decisions in a complex situation. In prioritizing surveillance and intervention strategies, decision-makers often also need to consider spatially explicit information on other important dimensions, such as the regional specificity of public acceptance, population vulnerability, resource availability, intervention effectiveness, and land use. There is a need for a unified strategy for supporting public health decision making that integrates available data for assessing spatially explicit disease risk, with other criteria, to implement effective prevention and control strategies. Multi-criteria decision analysis (MCDA) is a decision support tool that allows for the consideration of diverse quantitative and qualitative criteria using both data-driven and qualitative indicators for evaluating alternative strategies with transparency and stakeholder participation. Here we propose a MCDA-based approach to the development of geospatial models and spatially explicit decision support tools for the management of vector-borne diseases. We describe the conceptual framework that MCDA offers as well as technical considerations, approaches to implementation and expected outcomes. We conclude that MCDA is a powerful tool that offers tremendous potential for use in public health decision-making in general and vector-borne disease management in particular. PMID:22206355
Design and usability of heuristic‐based deliberation tools for women facing amniocentesis
Durand, Marie‐Anne; Wegwarth, Odette; Boivin, Jacky; Elwyn, Glyn
2011-01-01
Abstract Background Evidence suggests that in decision contexts characterized by uncertainty and time constraints (e.g. health‐care decisions), fast and frugal decision‐making strategies (heuristics) may perform better than complex rules of reasoning. Objective To examine whether it is possible to design deliberation components in decision support interventions using simple models (fast and frugal heuristics). Design The ‘Take The Best’ heuristic (i.e. selection of a ‘most important reason’) and ‘The Tallying’ integration algorithm (i.e. unitary weighing of pros and cons) were used to develop two deliberation components embedded in a Web‐based decision support intervention for women facing amniocentesis testing. Ten researchers (recruited from 15), nine health‐care providers (recruited from 28) and ten pregnant women (recruited from 14) who had recently been offered amniocentesis testing appraised evolving versions of ‘your most important reason’ (Take The Best) and ‘weighing it up’ (Tallying). Results Most researchers found the tools useful in facilitating decision making although emphasized the need for simple instructions and clear layouts. Health‐care providers however expressed concerns regarding the usability and clarity of the tools. By contrast, 7 out of 10 pregnant women found the tools useful in weighing up the pros and cons of each option, helpful in structuring and clarifying their thoughts and visualizing their decision efforts. Several pregnant women felt that ‘weighing it up’ and ‘your most important reason’ were not appropriate when facing such a difficult and emotional decision. Conclusion Theoretical approaches based on fast and frugal heuristics can be used to develop deliberation tools that provide helpful support to patients facing real‐world decisions about amniocentesis. PMID:21241434
Martinez-Franco, Adrian Israel; Sanchez-Mendiola, Melchor; Mazon-Ramirez, Juan Jose; Hernandez-Torres, Isaias; Rivero-Lopez, Carlos; Spicer, Troy; Martinez-Gonzalez, Adrian
2018-05-07
Clinical reasoning is an essential skill in physicians, required to address the challenges of accurate patient diagnoses. The goal of the study was to compare the diagnostic accuracy in Family Medicine residents, with and without the use of a clinical decision support tool (DXplain http://www.mghlcs.org/projects/dxplain). A total of 87 first-year Family Medicine residents, training at the National Autonomous University of Mexico (UNAM) Postgraduate Studies Division in Mexico City, participated voluntarily in the study. They were randomized to a control group and an intervention group that used DXplain. Both groups solved 30 clinical diagnosis cases (internal medicine, pediatrics, gynecology and emergency medicine) in a multiple-choice question test that had validity evidence. The percent-correct score in the Diagnosis Test in the control group (44 residents) was 74.1±9.4 (mean±standard deviation) whereas the DXplain intervention group (43 residents) had a score of 82.4±8.5 (p<0.001). There were significant differences in the four knowledge content areas of the test. Family Medicine residents have appropriate diagnostic accuracy that can improve with the use of DXplain. This could help decrease diagnostic errors, improve patient safety and the quality of medical practice. The use of clinical decision support systems could be useful in educational interventions and medical practice.
Involving clinical librarians at the point of care: results of a controlled intervention.
Aitken, Elizabeth M; Powelson, Susan E; Reaume, Renée D; Ghali, William A
2011-12-01
To measure the effect of including a clinical librarian in the health care team on medical residents and clinical clerks. In 2009, medical residents and clinical clerks were preassigned to one of two patient care teams (intervention and control). Each team had a month-long rotation on the general medicine teaching unit. The clinical librarian joined the intervention team for morning intake, clinical rounding, or an afternoon patient list review, providing immediate literature searches, formal group instruction, informal bedside teaching, and/or individual mentoring for use of preappraised resources and evidence-based medicine search techniques. Both intervention and control teams completed pre and post surveys comparing their confidence levels and awareness of resources as well as their self-reported use of evidence for making patient care decisions. The nonintervention team was surveyed as the control group. The clinical librarian intervention had a significant positive effect on medical trainees' self-reported ability to independently locate and evaluate evidence resources to support patient care decisions. Notably, 30 of 34 (88%) reported having changed a treatment plan based on skills taught by the clinical librarian, and 27 of 34 (79%) changed a treatment plan based on the librarian's mediated search support. Clinical librarians on the care team led to positive effects on self-reported provider attitudes, provider information retrieval tendencies, and, notably, clinical decision making. Future research should evaluate economic effects of widespread implementation of on-site clinical librarians.
A Digital Framework to Support Providers and Patients in Diabetes Related Behavior Modification.
Abidi, Samina; Vallis, Michael; Piccinini-Vallis, Helena; Imran, Syed Ali; Abidi, Syed Sibte Raza
2017-01-01
We present Diabetes Web-Centric Information and Support Environment (D-WISE) that features: (a) Decision support tool to assist family physicians to administer Behavior Modification (BM) strategies to patients; and (b) Patient BM application that offers BM strategies and motivational interventions to engage patients. We take a knowledge management approach, using semantic web technologies, to model the social cognition theory constructs, Canadian diabetes guidelines and BM protocols used locally, in terms of a BM ontology that drives the BM decision support to physicians and BM strategy adherence monitoring and messaging to patients. We present the qualitative analysis of D-WISE usability by both physicians and patients.
Fostering Scientific Reasoning in Education--Meta-Analytic Evidence from Intervention Studies
ERIC Educational Resources Information Center
Engelmann, Katharina; Neuhaus, Birgit J.; Fischer, Frank
2016-01-01
Scientific reasoning skills are not just for researchers, they are also increasingly relevant for making informed decisions in our everyday lives. How can these skills be facilitated? The current state of research on supporting scientific reasoning includes intervention studies but lacks an integrated analysis of the approaches to foster…
ERIC Educational Resources Information Center
Pinto, Joana Carneiro; Loureiro, Nazaré; Taveira, Maria do Céu
2015-01-01
This article describes the evaluation of a psychological intervention--the Career Self-Management Seminar, Version A, for undergraduate students, and Version B for postgraduate students--developed to support Portuguese college students in career exploration, goal setting, design and implementation of action plans, and decision-making. A total of…
Interventions Promoting Educators' Use of Data: Research Insights and Gaps
ERIC Educational Resources Information Center
Marsh, Julie A.
2012-01-01
Background/Context: In recent years, states, districts, schools, and external partners have recognized the need to proactively foster the use of data to guide educational decision-making and practice. Understanding that data alone will not guarantee use, individuals at all levels have invested in interventions to support better access to,…
Keller, Sara C; Feldman, Leonard; Smith, Janessa; Pahwa, Amit; Cosgrove, Sara E; Chida, Natasha
2018-06-01
Clinical decision support (CDS) embedded within the electronic health record (EHR) is a potential antibiotic stewardship strategy for hospitalized patients. Reduction in urine testing and treating asymptomatic bacteriuria (ASB) is an important strategy to promote antibiotic stewardship. We created an intervention focused on reducing urine testing for asymptomatic patients at a large tertiary care center. The objective of this study was to design an intervention to reduce unnecessary urinalysis and urine culture (UC) orders as well as the treatment of ASB. We performed a quasiexperimental study among adult inpatients at a single academic institution. We implemented a bundled intervention, including information broadcast in newsletters, hospitalwide screensavers, and passive CDS messages in the EHR. We investigated the impact of this strategy on urinalysis, UC orders, and on the treatment of ASB by using an interrupted time series analysis. Our intervention led to reduced UC order as well as reduced antibiotic orders in response to urinalysis orders and UC results. This easily implementable bundle may play an important role as an antibiotic stewardship strategy. © 2018 Society of Hospital Medicine.
Reyna, Valerie F.; Nelson, Wendy L.; Han, Paul K.; Pignone, Michael P.
2014-01-01
We review decision-making along the cancer continuum in the contemporary context of informed and shared decision making, in which patients are encouraged to take a more active role in their health care. We discuss challenges to achieving informed and shared decision making, including cognitive limitations and emotional factors, but argue that understanding the mechanisms of decision making offers hope for improving decision support. Theoretical approaches to decision making that explain cognition, emotion, and their interaction are described, including classical psychophysical approaches, dual-process approaches that focus on conflicts between emotion versus cognition (or reason), and modern integrative approaches such as fuzzy-trace theory. In contrast to the earlier emphasis on rote use of numerical detail, modern approaches emphasize understanding the bottom-line gist of options (which encompasses emotion and other influences on meaning) and retrieving relevant social and moral values to apply to those gist representations. Finally, research on interventions to support better decision making in clinical settings is reviewed, drawing out implications for future research on decision making and cancer. PMID:25730718
Handler, Steven M.; Sharkey, Siobhan S.; Hudak, Sandra; Ouslander, Joseph G.
2012-01-01
A substantial reduction in hospitalization rates has been associated with the implementation of the Interventions to Reduce Acute Care Transfers (INTERACT) quality improvement intervention using the accompanying paper-based clinical practice tools (INTERACT II). There is significant potential to further increase the impact of INTERACT by integrating INTERACT II tools into nursing home (NH) health information technology (HIT) via standalone or integrated clinical decision support (CDS) systems. This article highlights the process of translating INTERACT II tools from paper to NH HIT. The authors believe that widespread dissemination and integration of INTERACT II CDS tools into various NH HIT products could lead to sustainable improvement in resident and clinician process and outcome measures, including enhanced interclinician communication and a reduction in potentially avoidable hospitalizations. PMID:22267955
Duplicate laboratory test reduction using a clinical decision support tool.
Procop, Gary W; Yerian, Lisa M; Wyllie, Robert; Harrison, A Marc; Kottke-Marchant, Kandice
2014-05-01
Duplicate laboratory tests that are unwarranted increase unnecessary phlebotomy, which contributes to iatrogenic anemia, decreased patient satisfaction, and increased health care costs. We employed a clinical decision support tool (CDST) to block unnecessary duplicate test orders during the computerized physician order entry (CPOE) process. We assessed laboratory cost savings after 2 years and searched for untoward patient events associated with this intervention. This CDST blocked 11,790 unnecessary duplicate test orders in these 2 years, which resulted in a cost savings of $183,586. There were no untoward effects reported associated with this intervention. The movement to CPOE affords real-time interaction between the laboratory and the physician through CDSTs that signal duplicate orders. These interactions save health care dollars and should also increase patient satisfaction and well-being.
Graeden, Ellie; Kerr, Justin; Sorrell, Erin M.; Katz, Rebecca
2018-01-01
Managing infectious disease requires rapid and effective response to support decision making. The decisions are complex and require understanding of the diseases, disease intervention and control measures, and the disease-relevant characteristics of the local community. Though disease modeling frameworks have been developed to address these questions, the complexity of current models presents a significant barrier to community-level decision makers in using the outputs of the most scientifically robust methods to support pragmatic decisions about implementing a public health response effort, even for endemic diseases with which they are already familiar. Here, we describe the development of an application available on the internet, including from mobile devices, with a simple user interface, to support on-the-ground decision-making for integrating disease control programs, given local conditions and practical constraints. The model upon which the tool is built provides predictive analysis for the effectiveness of integration of schistosomiasis and malaria control, two diseases with extensive geographical and epidemiological overlap, and which result in significant morbidity and mortality in affected regions. Working with data from countries across sub-Saharan Africa and the Middle East, we present a proof-of-principle method and corresponding prototype tool to provide guidance on how to optimize integration of vertical disease control programs. This method and tool demonstrate significant progress in effectively translating the best available scientific models to support practical decision making on the ground with the potential to significantly increase the efficacy and cost-effectiveness of disease control. Author summary Designing and implementing effective programs for infectious disease control requires complex decision-making, informed by an understanding of the diseases, the types of disease interventions and control measures available, and the disease-relevant characteristics of the local community. Though disease modeling frameworks have been developed to address these questions and support decision-making, the complexity of current models presents a significant barrier to on-the-ground end users. The picture is further complicated when considering approaches for integration of different disease control programs, where co-infection dynamics, treatment interactions, and other variables must also be taken into account. Here, we describe the development of an application available on the internet with a simple user interface, to support on-the-ground decision-making for integrating disease control, given local conditions and practical constraints. The model upon which the tool is built provides predictive analysis for the effectiveness of integration of schistosomiasis and malaria control, two diseases with extensive geographical and epidemiological overlap. This proof-of-concept method and tool demonstrate significant progress in effectively translating the best available scientific models to support pragmatic decision-making on the ground, with the potential to significantly increase the impact and cost-effectiveness of disease control. PMID:29649260
Constantinou, Anthony Costa; Fenton, Norman; Marsh, William; Radlinski, Lukasz
2016-01-01
Objectives 1) To develop a rigorous and repeatable method for building effective Bayesian network (BN) models for medical decision support from complex, unstructured and incomplete patient questionnaires and interviews that inevitably contain examples of repetitive, redundant and contradictory responses; 2) To exploit expert knowledge in the BN development since further data acquisition is usually not possible; 3) To ensure the BN model can be used for interventional analysis; 4) To demonstrate why using data alone to learn the model structure and parameters is often unsatisfactory even when extensive data is available. Method The method is based on applying a range of recent BN developments targeted at helping experts build BNs given limited data. While most of the components of the method are based on established work, its novelty is that it provides a rigorous consolidated and generalised framework that addresses the whole life-cycle of BN model development. The method is based on two original and recent validated BN models in forensic psychiatry, known as DSVM-MSS and DSVM-P. Results When employed with the same datasets, the DSVM-MSS demonstrated competitive to superior predictive performance (AUC scores 0.708 and 0.797) against the state-of-the-art (AUC scores ranging from 0.527 to 0.705), and the DSVM-P demonstrated superior predictive performance (cross-validated AUC score of 0.78) against the state-of-the-art (AUC scores ranging from 0.665 to 0.717). More importantly, the resulting models go beyond improving predictive accuracy and into usefulness for risk management purposes through intervention, and enhanced decision support in terms of answering complex clinical questions that are based on unobserved evidence. Conclusions This development process is applicable to any application domain which involves large-scale decision analysis based on such complex information, rather than based on data with hard facts, and in conjunction with the incorporation of expert knowledge for decision support via intervention. The novelty extends to challenging the decision scientists to reason about building models based on what information is really required for inference, rather than based on what data is available and hence, forces decision scientists to use available data in a much smarter way. PMID:26830286
Constantinou, Anthony Costa; Fenton, Norman; Marsh, William; Radlinski, Lukasz
2016-02-01
(1) To develop a rigorous and repeatable method for building effective Bayesian network (BN) models for medical decision support from complex, unstructured and incomplete patient questionnaires and interviews that inevitably contain examples of repetitive, redundant and contradictory responses; (2) To exploit expert knowledge in the BN development since further data acquisition is usually not possible; (3) To ensure the BN model can be used for interventional analysis; (4) To demonstrate why using data alone to learn the model structure and parameters is often unsatisfactory even when extensive data is available. The method is based on applying a range of recent BN developments targeted at helping experts build BNs given limited data. While most of the components of the method are based on established work, its novelty is that it provides a rigorous consolidated and generalised framework that addresses the whole life-cycle of BN model development. The method is based on two original and recent validated BN models in forensic psychiatry, known as DSVM-MSS and DSVM-P. When employed with the same datasets, the DSVM-MSS demonstrated competitive to superior predictive performance (AUC scores 0.708 and 0.797) against the state-of-the-art (AUC scores ranging from 0.527 to 0.705), and the DSVM-P demonstrated superior predictive performance (cross-validated AUC score of 0.78) against the state-of-the-art (AUC scores ranging from 0.665 to 0.717). More importantly, the resulting models go beyond improving predictive accuracy and into usefulness for risk management purposes through intervention, and enhanced decision support in terms of answering complex clinical questions that are based on unobserved evidence. This development process is applicable to any application domain which involves large-scale decision analysis based on such complex information, rather than based on data with hard facts, and in conjunction with the incorporation of expert knowledge for decision support via intervention. The novelty extends to challenging the decision scientists to reason about building models based on what information is really required for inference, rather than based on what data is available and hence, forces decision scientists to use available data in a much smarter way. Copyright © 2016 Elsevier B.V. All rights reserved.
Fertility preservation and cancer: Challenges for adolescent and young adult patients
Benedict, Catherine; Thom, Bridgette; Kelvin, Joanne
2016-01-01
Purpose of review With increasing survival rates, fertility is an important quality of life concern for many young cancer patients. There is a critical need for improvements in clinical care to ensure patients are well informed about infertility risks and fertility preservation (FP) options and to support them in their reproductive decision-making prior to treatment. Recent findings A number of barriers prevent fertility from being adequately addressed in the clinical context. Providers’ and patients’ incomplete or inaccurate understanding of infertility risks exacerbate patients’ reproductive concerns. For female patients in particular, making decisions about FP before treatment often leads to decision conflict, reducing the likelihood of making informed, values-based decisions, and post-treatment regret and distress. Recent empirically-based interventions to improve provider training around fertility issues and to support patient decision-making about FP show promise. Summary Providers should be knowledgeable about the infertility risks associated with cancer therapies and proactively address fertility with all patients who might one day wish to have a child. Comprehensive counseling should also include related issues such as contraceptive use and health implications of early menopause, regardless of desire for future children. Although the negative psychosocial impact of cancer-related infertility is now well accepted, limited work has been done to explore how to improve clinical management of fertility issues in the context of cancer care. Evidence-based interventions should be developed to address barriers and provide psychosocial and decision-making support to patients who are concerned about their fertility and interested in FP options. PMID:26730794
Improving the use of health data for health system strengthening.
Nutley, Tara; Reynolds, Heidi W
2013-02-13
Good quality and timely data from health information systems are the foundation of all health systems. However, too often data sit in reports, on shelves or in databases and are not sufficiently utilised in policy and program development, improvement, strategic planning and advocacy. Without specific interventions aimed at improving the use of data produced by information systems, health systems will never fully be able to meet the needs of the populations they serve. To employ a logic model to describe a pathway of how specific activities and interventions can strengthen the use of health data in decision making to ultimately strengthen the health system. A logic model was developed to provide a practical strategy for developing, monitoring and evaluating interventions to strengthen the use of data in decision making. The model draws on the collective strengths and similarities of previous work and adds to those previous works by making specific recommendations about interventions and activities that are most proximate to affect the use of data in decision making. The model provides an organizing framework for how interventions and activities work to strengthen the systematic demand, synthesis, review, and use of data. The logic model and guidance are presented to facilitate its widespread use and to enable improved data-informed decision making in program review and planning, advocacy, policy development. Real world examples from the literature support the feasible application of the activities outlined in the model. The logic model provides specific and comprehensive guidance to improve data demand and use. It can be used to design, monitor and evaluate interventions, and to improve demand for, and use of, data in decision making. As more interventions are implemented to improve use of health data, those efforts need to be evaluated.
Shaping the Future Landscape: Catchment Systems Engineering and the Decision Support Matrix Approach
NASA Astrophysics Data System (ADS)
Hewett, Caspar; Quinn, Paul; Wilkinson, Mark; Wainwright, John
2017-04-01
Land degradation is widely recognised as one of the great environmental challenges facing humanity today, much of which is directly associated with human activity. The negative impacts of climate change and of the way in which we have engineered the landscape through, for example, agriculture intensification and deforestation, need to be addressed. However, the answer is not a simple matter of doing the opposite of current practice. Nor is non-intervention a viable option. There is a need to bring together approaches from the natural and social sciences both to understand the issues and to act to solve real problems. We propose combining a Catchment Systems Engineering (CSE) approach that builds on existing approaches such as Natural Water Retention Measures, Green infrastructure and Nature-Based Solutions with a multi-scale framework for decision support that has been successfully applied to diffuse pollution and flood risk management. The CSE philosophy follows that of Earth Systems Engineering and Management, which aims to engineer and manage complex coupled human-natural systems in a highly integrated, rational manner. CSE is multi-disciplinary, and necessarily involves a wide range of subject areas including anthropology, engineering, environmental science, ethics and philosophy. It offers a rational approach which accepts the fact that we need to engineer and act to improve the functioning of the existing catchment entity on which we rely. The decision support framework proposed draws on physical and mathematical modelling; Participatory Action Research; and demonstration sites at which practical interventions are implemented. It is predicated on the need to work with stakeholders to co-produce knowledge that leads to proactive interventions to reverse the land degradation we observe today while sustaining the agriculture humanity needs. The philosophy behind CSE and examples of where it has been applied successfully are presented. The Decision Support Matrix (DSM) approach is introduced as a way to engage stakeholders at all scales, helping to inform decision making and motivate intervention. Two existing visualization and communication tools produced using the DSM approach are discussed: The FARM (Floods and Agriculture Risk Matrix) and CAVERTI (Communication And Visualizing Erosion-associated Risks to Infrastructure). Such tools can play a central role in encouraging a more holistic engineering approach to managing catchment system function that combines food production with a reversal of land degradation, providing a 'win-win' situation for all.
Tu, Samson W; Hrabak, Karen M; Campbell, James R; Glasgow, Julie; Nyman, Mark A; McClure, Robert; McClay, James; Abarbanel, Robert; Mansfield, James G; Martins, Susana M; Goldstein, Mary K; Musen, Mark A
2006-01-01
Developing computer-interpretable clinical practice guidelines (CPGs) to provide decision support for guideline-based care is an extremely labor-intensive task. In the EON/ATHENA and SAGE projects, we formulated substantial portions of CPGs as computable statements that express declarative relationships between patient conditions and possible interventions. We developed query and expression languages that allow a decision-support system (DSS) to evaluate these statements in specific patient situations. A DSS can use these guideline statements in multiple ways, including: (1) as inputs for determining preferred alternatives in decision-making, and (2) as a way to provide targeted commentaries in the clinical information system. The use of these declarative statements significantly reduces the modeling expertise and effort required to create and maintain computer-interpretable knowledge bases for decision-support purpose. We discuss possible implications for sharing of such knowledge bases.
Witt, Claudia M; Huang, Wen-jing; Lao, Lixing; Berman, Brian M
2013-08-01
In clinical research on complementary and integrative medicine, experts and scientists have often pursued a research agenda in spite of an incomplete understanding of the needs of end users. Consequently, the majority of previous clinical trials have mainly assessed the efficacy of interventions. Scant data is available on their effectiveness. Comparative effectiveness research (CER) promises to support decision makers by generating evidence that compares the benefits and harms of best care options. This evidence, more generalizable than evidence generated by traditional randomized clinical trials (RCTs), is better suited to inform real-world care decisions. An emphasis on CER supports the development of the evidence base for clinical and policy decision-making. Whereas in most areas of complementary and integrative medicine data on CER is scarce, available acupuncture research already contributes to CER evidence. This paper will introduce CER and make suggestions for future research.
Witt, Claudia M; Huang, Wen-jing; Lao, Lixing; Bm, Berman
2012-10-01
In clinical research on complementary and integrative medicine, experts and scientists have often pursued a research agenda in spite of an incomplete understanding of the needs of end users. Consequently, the majority of previous clinical trials have mainly assessed the efficacy of interventions. Scant data is available on their effectiveness. Comparative effectiveness research (CER) promises to support decision makers by generating evidence that compares the benefits and harms of the best care options. This evidence, more generalizable than the evidence generated by traditional randomized controlled trials (RCTs), is better suited to inform real-world care decisions. An emphasis on CER supports the development of the evidence base for clinical and policy decision-making. Whereas in most areas of complementary and integrative medicine data on comparative effectiveness is scarce, available acupuncture research already contributes to CER evidence. This paper will introduce CER and make suggestions for future research.
Weir, Charlene; Brunker, Cherie; Butler, Jorie; Supiano, Mark A
2017-07-01
This paper evaluates the role of facilitation in the successful implementation of Computerized Decision Support (CDS). Facilitation processes include education, specialized computerized decision support, and work process reengineering. These techniques, as well as modeling and feedback enhance self-efficacy, which we propose is one of the factors that mediate the effectiveness of any CDS. In this study, outpatient clinics implemented quality improvement (QI) projects focused on improving geriatric care. Quality Improvement is the systematic process of improving quality through continuous measurement and targeted actions. The program, entitled "Advancing Geriatric Education through Quality Improvement" (AGE QI), consisted of a 6-month, QI based, intervention: (1) 2h didactic session, (2) 1h QI planning session, (3) computerized decision support design and implementation, (4) QI facilitation activities, (5) outcome feedback, and (6) 20h of CME. Specifically, we examined the impact of the QI based program on clinician's perceived self-efficacy in caring for older adults and the relationship of implementation support and facilitation on perceived success. The intervention was implemented at 3 institutions, 27 community healthcare system clinics, and 134 providers. This study reports the results of pre/post surveys for the forty-nine clinicians who completed the full CME program. Self-efficacy ratings for specific clinical behaviors related to care of older adults were assessed using a Likert based instrument. Self-ratings of efficacy improved across the following domains (depression, falls, end-of-life, functional status and medication management) and specifically in QI targeted domains and were associated with overall clinic improvements. Published by Elsevier Inc.
Woodard, Terri Lynn; Hoffman, Aubri S; Crocker, Laura C; Holman, Deborah A; Hoffman, Derek B; Ma, Jusheng; Bassett, Roland L; Leal, Viola B; Volk, Robert J
2018-02-21
National guidelines recommend that all reproductive-age women with cancer be informed of their fertility risks and offered referral to fertility specialists to discuss fertility preservation options. However, reports indicate that only 5% of patients have consultations, and rates of long-term infertility-related distress remain high. Previous studies report several barriers to fertility preservation; however, initial success has been reported using provider education, patient decision aids and navigation support. This protocol will test effects of a multicomponent intervention compared with usual care on women's fertility preservation knowledge and decision-making outcomes. This cluster-randomised trial will compare the multicomponent intervention (provider education, patient decision aid and navigation support) with usual care (consultation and referral, if requested). One hundred newly diagnosed English-speaking women of reproductive age who are at risk of cancer-related infertility will be recruited from four regional oncology clinics.The Pathways patient decision aid website provides (1) up-to-date evidence and descriptions of fertility preservation and other family-building options, tailored to cancer type; (2) structured guidance to support personalising the information and informed decision-making; and (3) a printable summary to help women prepare for discussions with their oncologist and/or fertility specialist. Four sites will be randomly assigned to intervention or control groups. Participants will be recruited after their oncology consultation and asked to complete online questionnaires at baseline, 1 week and 2 months to assess their demographics, fertility preservation knowledge, and decision-making process and quality. The primary outcome (decisional conflict) will be tested using Fisher's exact test. Secondary outcomes will be assessed using generalised linear mixed models, and sensitivity analyses will be conducted, as appropriate. The University of Texas MD Anderson Cancer Center provided approval and ongoing review of this protocol. Results will be presented at relevant scientific meetings and submitted for publication in a peer-reviewed journal. NCT03141437; Pre-results. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Neyret, Solène; Slater, Mel; de Gelder, Beatrice
2018-01-01
The occurrence of helping behavior is thought to be automatically triggered by reflexive reactions and promoted by intuitive decisions. Here, we studied whether reflexive reactions to an emergency situation are associated with later helping behavior in a different situation, a violent conflict. First, 29 male supporters of F.C. Barcelona performed a cued-reaction time task with a low and high cognitive load manipulation, to tap into reflexive and reflective processes respectively, during the observation of an emergency. Next, participants entered a bar in Virtual Reality and had a conversation with a virtual fellow supporter. During this conversation, a virtual Real Madrid supporter entered and started an aggressive argument with the fellow supporter that escalated into a physical fight. Verbal and physical interventions of the participant served as measures of helping behavior. Results showed that faster responses to an emergency situation during low, but not during high cognitive load, were associated with more interventions during the violent conflict. However, a tendency to describe the decision to act during the violent conflict as intuitive and reflex-like was related to more interventions. Further analyses revealed that a disposition to experience sympathy, other-oriented feelings during distressful situations, was related to self-reported intuitive decision-making, a reduced distance to the perpetrator, and higher in the intervening participants. Taken together, these results shed new light on helping behavior and are consistent with the notion of a motivational system in which the act of helping is dependent on a complex interplay between intuitive, reflexive and deliberate, reflective processes. PMID:29672638
Hortensius, Ruud; Neyret, Solène; Slater, Mel; de Gelder, Beatrice
2018-01-01
The occurrence of helping behavior is thought to be automatically triggered by reflexive reactions and promoted by intuitive decisions. Here, we studied whether reflexive reactions to an emergency situation are associated with later helping behavior in a different situation, a violent conflict. First, 29 male supporters of F.C. Barcelona performed a cued-reaction time task with a low and high cognitive load manipulation, to tap into reflexive and reflective processes respectively, during the observation of an emergency. Next, participants entered a bar in Virtual Reality and had a conversation with a virtual fellow supporter. During this conversation, a virtual Real Madrid supporter entered and started an aggressive argument with the fellow supporter that escalated into a physical fight. Verbal and physical interventions of the participant served as measures of helping behavior. Results showed that faster responses to an emergency situation during low, but not during high cognitive load, were associated with more interventions during the violent conflict. However, a tendency to describe the decision to act during the violent conflict as intuitive and reflex-like was related to more interventions. Further analyses revealed that a disposition to experience sympathy, other-oriented feelings during distressful situations, was related to self-reported intuitive decision-making, a reduced distance to the perpetrator, and higher in the intervening participants. Taken together, these results shed new light on helping behavior and are consistent with the notion of a motivational system in which the act of helping is dependent on a complex interplay between intuitive, reflexive and deliberate, reflective processes.
Dalaba, Maxwell Ayindenaba; Akweongo, Patricia; Williams, John; Saronga, Happiness Pius; Tonchev, Pencho; Sauerborn, Rainer; Mensah, Nathan; Blank, Antje; Kaltschmidt, Jens; Loukanova, Svetla
2014-01-01
This study analyzed cost of implementing computer-assisted Clinical Decision Support System (CDSS) in selected health care centres in Ghana. A descriptive cross sectional study was conducted in the Kassena-Nankana district (KND). CDSS was deployed in selected health centres in KND as an intervention to manage patients attending antenatal clinics and the labour ward. The CDSS users were mainly nurses who were trained. Activities and associated costs involved in the implementation of CDSS (pre-intervention and intervention) were collected for the period between 2009-2013 from the provider perspective. The ingredients approach was used for the cost analysis. Costs were grouped into personnel, trainings, overheads (recurrent costs) and equipment costs (capital cost). We calculated cost without annualizing capital cost to represent financial cost and cost with annualizing capital costs to represent economic cost. Twenty-two trained CDSS users (at least 2 users per health centre) participated in the study. Between April 2012 and March 2013, users managed 5,595 antenatal clients and 872 labour clients using the CDSS. We observed a decrease in the proportion of complications during delivery (pre-intervention 10.74% versus post-intervention 9.64%) and a reduction in the number of maternal deaths (pre-intervention 4 deaths versus post-intervention 1 death). The overall financial cost of CDSS implementation was US$23,316, approximately US$1,060 per CDSS user trained. Of the total cost of implementation, 48% (US$11,272) was pre-intervention cost and intervention cost was 52% (US$12,044). Equipment costs accounted for the largest proportion of financial cost: 34% (US$7,917). When economic cost was considered, total cost of implementation was US$17,128-lower than the financial cost by 26.5%. The study provides useful information in the implementation of CDSS at health facilities to enhance health workers' adherence to practice guidelines and taking accurate decisions to improve maternal health care.
Moran, Anna M; Coyle, Julia; Pope, Rod; Boxall, Dianne; Nancarrow, Susan A; Young, Jennifer
2014-02-13
To identify mechanisms for the successful implementation of support strategies for health-care practitioners in rural and remote contexts. This is an integrative review and thematic synthesis of the empirical literature that examines support interventions for health-care practitioners in rural and remote contexts. This review includes 43 papers that evaluated support strategies for the rural and remote health workforce. Interventions were predominantly training and education programmes with limited evaluations of supervision and mentoring interventions. The mechanisms associated with successful outcomes included: access to appropriate and adequate training, skills and knowledge for the support intervention; accessible and adequate resources; active involvement of stakeholders in programme design, implementation and evaluation; a needs analysis prior to the intervention; external support, organisation, facilitation and/or coordination of the programme; marketing of the programme; organisational commitment; appropriate mode of delivery; leadership; and regular feedback and evaluation of the programme. Through a synthesis of the literature, this research has identified a number of mechanisms that are associated with successful support interventions for health-care practitioners in rural and remote contexts. This research utilised a methodology developed for studying complex interventions in response to the perceived limitations of traditional systematic reviews. This synthesis of the evidence will provide decision-makers at all levels with a collection of mechanisms that can assist the development and implementation of support strategies for staff in rural and remote contexts.
2014-01-01
Objective To identify mechanisms for the successful implementation of support strategies for health-care practitioners in rural and remote contexts. Design This is an integrative review and thematic synthesis of the empirical literature that examines support interventions for health-care practitioners in rural and remote contexts. Results This review includes 43 papers that evaluated support strategies for the rural and remote health workforce. Interventions were predominantly training and education programmes with limited evaluations of supervision and mentoring interventions. The mechanisms associated with successful outcomes included: access to appropriate and adequate training, skills and knowledge for the support intervention; accessible and adequate resources; active involvement of stakeholders in programme design, implementation and evaluation; a needs analysis prior to the intervention; external support, organisation, facilitation and/or coordination of the programme; marketing of the programme; organisational commitment; appropriate mode of delivery; leadership; and regular feedback and evaluation of the programme. Conclusion Through a synthesis of the literature, this research has identified a number of mechanisms that are associated with successful support interventions for health-care practitioners in rural and remote contexts. This research utilised a methodology developed for studying complex interventions in response to the perceived limitations of traditional systematic reviews. This synthesis of the evidence will provide decision-makers at all levels with a collection of mechanisms that can assist the development and implementation of support strategies for staff in rural and remote contexts. PMID:24521004
Coping strategies and immune neglect in affective forecasting: Direct evidence and key moderators
Hoerger, Michael
2012-01-01
Affective forecasting skills have important implications for decision making. However, recent research suggests that immune neglect – the tendency to overlook coping strategies that reduce future distress – may lead to affective forecasting problems. Prior evidence for immune neglect has been indirect. More direct evidence and a deeper understanding of immune neglect are vital to informing the design of future decision-support interventions. In the current study, young adults (N = 325) supplied predicted, actual, and recollected reactions to an emotionally-evocative interpersonal event, Valentine’s Day. Based on participants’ qualitative descriptions of the holiday, a team of raters reliably coded the effectiveness of their coping strategies. Supporting the immune neglect hypothesis, participants overlooked the powerful role of coping strategies when predicting their emotional reactions. Immune neglect was present not only for those experiencing the holiday negatively (non-daters) but also for those experiencing it positively (daters), suggesting that the bias may be more robust than originally theorized. Immune neglect was greater for immediate emotional reactions than more enduring reactions. Further, immune neglect was conspicuously absent from recollected emotional reactions. Implications for decision-support interventions are discussed. PMID:22375161
Elwyn, Glyn; Pickles, Tim; Edwards, Adrian; Kinsey, Katharine; Brain, Kate; Newcombe, Robert G; Firth, Jill; Marrin, Katy; Nye, Alan; Wood, Fiona
2016-04-01
To evaluate whether introducing tools, specifically designed for use in clinical encounters, namely Option Grids, into a clinical practice setting leads to higher levels of shared decision making. A stepped wedge trial design where 6 physiotherapists at an interface clinic in Oldham, UK, were sequentially instructed in how to use an Option Grid for osteoarthritis of the knee. Patients with suspected or confirmed osteoarthritis of the knee were recruited, six per clinician prior to instruction, and six per clinician afterwards. We measured shared decision making, patient knowledge, and readiness to decide. A total of 72 patients were recruited; 36 were allocated to the intervention group. There was an 8.4 point (95% CI 4.4 to 12.2) increase in the Observer OPTION score (range 0-100) in the intervention group. The mean gain in knowledge was 0.9 points (score range 0-5, 95% CI, 0.3 to 1.5). There was no increase in encounter duration. Shared decision making increased when clinicians used the knee osteoarthritis Option Grid. Tools designed to support collaboration and deliberation about treatment options lead to increased levels of shared decision making. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.
What can Natural Language Processing do for Clinical Decision Support?
Demner-Fushman, Dina; Chapman, Wendy W.; McDonald, Clement J.
2009-01-01
Computerized Clinical Decision Support (CDS) aims to aid decision making of health care providers and the public by providing easily accessible health-related information at the point and time it is needed. Natural Language Processing (NLP) is instrumental in using free-text information to drive CDS, representing clinical knowledge and CDS interventions in standardized formats, and leveraging clinical narrative. The early innovative NLP research of clinical narrative was followed by a period of stable research conducted at the major clinical centers and a shift of mainstream interest to biomedical NLP. This review primarily focuses on the recently renewed interest in development of fundamental NLP methods and advances in the NLP systems for CDS. The current solutions to challenges posed by distinct sublanguages, intended user groups, and support goals are discussed. PMID:19683066
S4HARA: System for HIV/AIDS resource allocation.
Lasry, Arielle; Carter, Michael W; Zaric, Gregory S
2008-03-26
HIV/AIDS resource allocation decisions are influenced by political, social, ethical and other factors that are difficult to quantify. Consequently, quantitative models of HIV/AIDS resource allocation have had limited impact on actual spending decisions. We propose a decision-support System for HIV/AIDS Resource Allocation (S4HARA) that takes into consideration both principles of efficient resource allocation and the role of non-quantifiable influences on the decision-making process for resource allocation. S4HARA is a four-step spreadsheet-based model. The first step serves to identify the factors currently influencing HIV/AIDS allocation decisions. The second step consists of prioritizing HIV/AIDS interventions. The third step involves allocating the budget to the HIV/AIDS interventions using a rational approach. Decision-makers can select from several rational models of resource allocation depending on availability of data and level of complexity. The last step combines the results of the first and third steps to highlight the influencing factors that act as barriers or facilitators to the results suggested by the rational resource allocation approach. Actionable recommendations are then made to improve the allocation. We illustrate S4HARA in the context of a primary healthcare clinic in South Africa. The clinic offers six types of HIV/AIDS interventions and spends US$750,000 annually on these programs. Current allocation decisions are influenced by donors, NGOs and the government as well as by ethical and religious factors. Without additional funding, an optimal allocation of the total budget suggests that the portion allotted to condom distribution be increased from 1% to 15% and the portion allotted to prevention and treatment of opportunistic infections be increased from 43% to 71%, while allocation to other interventions should decrease. Condom uptake at the clinic should be increased by changing the condom distribution policy from a pull system to a push system. NGOs and donors promoting antiretroviral programs at the clinic should be sensitized to the results of the model and urged to invest in wellness programs aimed at the prevention and treatment of opportunistic infections. S4HARA differentiates itself from other decision support tools by providing rational HIV/AIDS resource allocation capabilities as well as consideration of the realities facing authorities in their decision-making process.
ERIC Educational Resources Information Center
Johnson, LeAnne D.
2017-01-01
Bringing effective practices to scale across large systems requires attending to how information and belief systems come together in decisions to adopt, implement, and sustain those practices. Statewide scaling of the Pyramid Model, a framework for positive behavior intervention and support, across different types of early childhood programs…
Developing a Value Framework: The Need to Reflect the Opportunity Costs of Funding Decisions.
Sculpher, Mark; Claxton, Karl; Pearson, Steven D
2017-02-01
A growing number of health care systems internationally use formal economic evaluation methods to support health care funding decisions. Recently, a range of organizations have been advocating forms of analysis that have been termed "value frameworks." There has also been a push for analytical methods to reflect a fuller range of benefits of interventions through multicriteria decision analysis. A key principle that is invariably neglected in current and proposed frameworks is the need to reflect evidence on the opportunity costs that health systems face when making funding decisions. The mechanisms by which opportunity costs are realized vary depending on the system's financial arrangements, but they always mean that a decision to fund a specific intervention for a particular patient group has the potential to impose costs on others in terms of forgone benefits. These opportunity costs are rarely explicitly reflected in analysis to support decisions, but recent developments to quantify benefits forgone make more appropriate analyses feasible. Opportunity costs also need to be reflected in decisions if a broader range of attributes of benefit is considered, and opportunity costs are a key consideration in determining the appropriate level of total expenditure in a system. The principles by which opportunity costs can be reflected in analysis are illustrated in this article by using the example of the proposed methods for value-based pricing in the United Kingdom. Copyright © 2017 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
Boaz, Annette; Baeza, Juan; Fraser, Alec
2011-06-22
The gap between research findings and clinical practice is well documented and a range of interventions has been developed to increase the implementation of research into clinical practice. A review of systematic reviews of the effectiveness of interventions designed to increase the use of research in clinical practice. A search for relevant systematic reviews was conducted of Medline and the Cochrane Database of Reviews 1998-2009. 13 systematic reviews containing 313 primary studies were included. Four strategy types are identified: audit and feedback; computerised decision support; opinion leaders; and multifaceted interventions. Nine of the reviews reported on multifaceted interventions. This review highlights the small effects of single interventions such as audit and feedback, computerised decision support and opinion leaders. Systematic reviews of multifaceted interventions claim an improvement in effectiveness over single interventions, with effect sizes ranging from small to moderate. This review found that a number of published systematic reviews fail to state whether the recommended practice change is based on the best available research evidence. This overview of systematic reviews updates the body of knowledge relating to the effectiveness of key mechanisms for improving clinical practice and service development. Multifaceted interventions are more likely to improve practice than single interventions such as audit and feedback. This review identified a small literature focusing explicitly on getting research evidence into clinical practice. It emphasizes the importance of ensuring that primary studies and systematic reviews are precise about the extent to which the reported interventions focus on changing practice based on research evidence (as opposed to other information codified in guidelines and education materials).
Rethinking autonomy: decision making between patient and surgeon in advanced illnesses
Hinshaw, Daniel B.
2016-01-01
Patients with advanced illness such as advanced stage cancer presenting with the need for possible surgical intervention can be some of the most challenging cases for a surgeon. Often there are multiple factors influencing the decisions made. For patients they are facing not just the effects of the disease on their body, but the stark realization that the disease will also limit their life. Not only are these factors a consideration when patients are making decisions, but also the desire to make the decision that is best for themselves, the autonomous decision. Also included in this process for the patient facing the possible need for an intervention is the surgeon. While patient autonomy remains one of the main principles within medicine, guiding treatment decisions, there is also the surgeon’s autonomy to be considered. Surgeons determine if there is even a possible intervention to be offered to patients, a decision making process that respects surgeons’ autonomous choices and includes elements of paternalism as surgeons utilize their expertise to make decisions. Included in the treatment decisions that are made and the care of the patient is the impact patients’ outcomes have on the surgeon, the inherent drive to be the best for the patient and desire for good outcomes for the patient. While both the patient’s and surgeon’s autonomy are a dynamic interface influencing decision making, the main goal for the patient facing a palliative procedure is that of making treatment decisions based on the concept of shared decision making, always giving primary consideration to the patient’s goals and values. Lastly, regardless of the decision made, it is the responsibility of surgeons to their patients to be a source of support through this challenging time. PMID:27004224
Collins, Karen; Reed, Malcolm; Lifford, Kate; Burton, Maria; Edwards, Adrian; Ring, Alistair; Brain, Katherine; Harder, Helena; Robinson, Thompson; Cheung, Kwok Leung; Morgan, Jenna; Audisio, Riccardo; Ward, Susan; Richards, Paul; Martin, Charlene; Chater, Tim; Pemberton, Kirsty; Nettleship, Anthony; Murray, Christopher; Walters, Stephen; Bortolami, Oscar; Armitage, Fiona; Leonard, Robert; Gath, Jacqui; Revell, Deirdre; Green, Tracy; Wyld, Lynda
2017-07-31
While breast cancer outcomes are improving steadily in younger women due to advances in screening and improved therapies, there has been little change in outcomes among the older age group. It is inevitable that comorbidities/frailty rates are higher, which may increase the risks of some breast cancer treatments such as surgery and chemotherapy, many older women are healthy and may benefit from their use. Adjusting treatment regimens appropriately for age/comorbidity/frailty is variable and largely non-evidence based, specifically with regard to rates of surgery for operable oestrogen receptor-positive disease and rates of chemotherapy for high-risk disease. This multicentre, parallel group, pragmatic cluster randomised controlled trial (RCT) (2015-18) reported here is nested within a larger ongoing 'Age Gap Cohort Study' (2012-18RP-PG-1209-10071), aims to evaluate the effectiveness of a complex intervention of decision support interventions to assist in the treatment decision making for early breast cancer in older women. The interventions include two patient decision aids (primary endocrine therapy vs surgery/antioestrogen therapy and chemotherapy vs no chemotherapy) and a clinical treatment outcomes algorithm for clinicians. National and local ethics committee approval was obtained for all UK participating sites. Results from the trial will be submitted for publication in international peer-reviewed scientific journals. 115550. European Union Drug Regulating Authorities Clinical Trials (EudraCT) number 2015-004220-61;Pre-results. Sponsor's Protocol Code Number Sheffield Teaching Hospitals STH17086. ISRCTN 32447*. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Volandes, Angelo E; Paasche-Orlow, Michael K; Mitchell, Susan L; El-Jawahri, Areej; Davis, Aretha Delight; Barry, Michael J; Hartshorn, Kevan L; Jackson, Vicki Ann; Gillick, Muriel R; Walker-Corkery, Elizabeth S; Chang, Yuchiao; López, Lenny; Kemeny, Margaret; Bulone, Linda; Mann, Eileen; Misra, Sumi; Peachey, Matt; Abbo, Elmer D; Eichler, April F; Epstein, Andrew S; Noy, Ariela; Levin, Tomer T; Temel, Jennifer S
2013-01-20
Decision making regarding cardiopulmonary resuscitation (CPR) is challenging. This study examined the effect of a video decision support tool on CPR preferences among patients with advanced cancer. We performed a randomized controlled trial of 150 patients with advanced cancer from four oncology centers. Participants in the control arm (n = 80) listened to a verbal narrative describing CPR and the likelihood of successful resuscitation. Participants in the intervention arm (n = 70) listened to the identical narrative and viewed a 3-minute video depicting a patient on a ventilator and CPR being performed on a simulated patient. The primary outcome was participants' preference for or against CPR measured immediately after exposure to either modality. Secondary outcomes were participants' knowledge of CPR (score range of 0 to 4, with higher score indicating more knowledge) and comfort with video. The mean age of participants was 62 years (standard deviation, 11 years); 49% were women, 44% were African American or Latino, and 47% had lung or colon cancer. After the verbal narrative, in the control arm, 38 participants (48%) wanted CPR, 41 (51%) wanted no CPR, and one (1%) was uncertain. In contrast, in the intervention arm, 14 participants (20%) wanted CPR, 55 (79%) wanted no CPR, and 1 (1%) was uncertain (unadjusted odds ratio, 3.5; 95% CI, 1.7 to 7.2; P < .001). Mean knowledge scores were higher in the intervention arm than in the control arm (3.3 ± 1.0 v 2.6 ± 1.3, respectively; P < .001), and 65 participants (93%) in the intervention arm were comfortable watching the video. Participants with advanced cancer who viewed a video of CPR were less likely to opt for CPR than those who listened to a verbal narrative.
Collins, Karen; Reed, Malcolm; Lifford, Kate; Burton, Maria; Edwards, Adrian; Ring, Alistair; Brain, Katherine; Harder, Helena; Robinson, Thompson; Cheung, Kwok Leung; Morgan, Jenna; Audisio, Riccardo; Ward, Susan; Richards, Paul; Martin, Charlene; Chater, Tim; Pemberton, Kirsty; Nettleship, Anthony; Murray, Christopher; Walters, Stephen; Bortolami, Oscar; Armitage, Fiona; Leonard, Robert; Gath, Jacqui; Revell, Deirdre; Green, Tracy; Wyld, Lynda
2017-01-01
Introduction While breast cancer outcomes are improving steadily in younger women due to advances in screening and improved therapies, there has been little change in outcomes among the older age group. It is inevitable that comorbidities/frailty rates are higher, which may increase the risks of some breast cancer treatments such as surgery and chemotherapy, many older women are healthy and may benefit from their use. Adjusting treatment regimens appropriately for age/comorbidity/frailty is variable and largely non-evidence based, specifically with regard to rates of surgery for operable oestrogen receptor-positive disease and rates of chemotherapy for high-risk disease. Methods and analysis This multicentre, parallel group, pragmatic cluster randomised controlled trial (RCT) (2015-18) reported here is nested within a larger ongoing ‘Age Gap Cohort Study’ (2012-18RP-PG-1209-10071), aims to evaluate the effectiveness of a complex intervention of decision support interventions to assist in the treatment decision making for early breast cancer in older women. The interventions include two patient decision aids (primary endocrine therapy vs surgery/antioestrogen therapy and chemotherapy vs no chemotherapy) and a clinical treatment outcomes algorithm for clinicians. Ethics and dissemination National and local ethics committee approval was obtained for all UK participating sites. Results from the trial will be submitted for publication in international peer-reviewed scientific journals. IRAS reference 115550. Trial registration number European Union Drug Regulating Authorities Clinical Trials (EudraCT) number 2015-004220-61;Pre-results. Sponsor's Protocol Code Number Sheffield Teaching Hospitals STH17086. ISRCTN 32447*. PMID:28760787
[Limits of intensive care--decision making on the way between life and death].
Uehlinger-Walter, J
1994-05-03
Survival and death are closely related in intensive-care medicine. Both have to be accepted and accounted for when decisions have to be made and activity is required. Only then a sound and truthful process of decision-making is guaranteed. Both, the experienced as well as the novice, need guidelines in this process. The basis of these guidelines lies in quite different aspects of life: juridical, philosophic-ethical and religious. The first part of this paper focuses on the specific setting of neonatal intensive care. Three issues must be considered: The patient is not the direct partner in conversation; illness and its consequences have an impact on the social network of the whole family; mothers quite often suffer from severe guilt feelings, which have to be understood and addressed. The second part describes the essential elements of support on the journey' between life and death. They can be summarized under seven headings: urgent acquisition of all necessary data; the need for medical intervention before optimal level of relevant information is available; the importance of allowing for human time factors; the process of arriving at certain decisions; the dealing with unexpected changes in the course and development of the disease; the cessation of therapy; the parental support in bereavement. The overall emphasis of medical intervention should be to view the patient as human being, not as a treatable subject amongst a setting of numerous medical intervention techniques.
Blalock, Susan J.; Reyna, Valerie F.
2016-01-01
Objective Fuzzy-trace theory is a dual-process model of memory, reasoning, judgment, and decision making that contrasts with traditional expectancy-value approaches. We review the literature applying fuzzy-trace theory to health with three aims: evaluating whether the theory’s basic distinctions have been validated empirically in the domain of health; determining whether these distinctions are useful in assessing, explaining, and predicting health-related psychological processes; and determining whether the theory can be used to improve health judgments, decisions, or behaviors, especially in comparison to other approaches. Methods We conducted a literature review using PubMed, PsycInfo, and Web of Science to identify empirical peer-reviewed papers that applied fuzzy-trace theory, or central constructs of the theory, to investigate health judgments, decisions, or behaviors. Results 79 studies were identified, over half published since 2012, spanning a wide variety of conditions and populations. Study findings supported the prediction that verbatim and gist representations are distinct constructs that can be retrieved independently using different cues. Although gist-based reasoning was usually associated with improved judgment and decision making, four sources of bias that can impair gist reasoning were identified. Finally, promising findings were reported from intervention studies that used fuzzy-trace theory to improve decision making and decrease unhealthy risk taking. Conclusions Despite large gaps in the literature, most studies supported all three aims. By focusing on basic psychological processes that underlie judgment and decision making, fuzzy-trace theory provides insights into how individuals make decisions involving health risks and suggests innovative intervention approaches to improve health outcomes. PMID:27505197
ERIC Educational Resources Information Center
Jolivette, Kristine; McDaniel, Sara C.; Sprague, Jeffrey; Swain-Bradway, Jessica; Ennis, Robin Parks
2012-01-01
Alternative education (AE) programs and schools usually serve distinct populations of students with educational disabilities and mental health or other needs. AE program staff often employ a range of curricula, interventions, and strategies that form an eclectic approach to addressing student needs. This may result in practices that are…
Economic Evaluation of Environmental Health Interventions to Support Decision Making
Hutton, Guy
2008-01-01
Environmental burden of disease represents one quarter of overall disease burden, hence necessitating greater attention from decision makers both inside and outside the health sector. Economic evaluation techniques such as cost-effectiveness analysis and cost-benefit analysis provide key information to health decision makers on the efficiency of environmental health interventions, assisting them in choosing interventions which give the greatest social return on limited public budgets and private resources. The aim of this article is to review economic evaluation studies in three environmental health areas—water, sanitation, hygiene (WSH), vector control, and air pollution—and to critically examine the policy relevance and scientific quality of the studies for selecting and funding public programmers. A keyword search of Medline from 1990–2008 revealed 32 studies, and gathering of articles from other sources revealed a further 18 studies, giving a total of 50 economic evaluation studies (13 WSH interventions, 16 vector control and 21 air pollution). Overall, the economic evidence base on environmental health interventions remains relatively weak—too few studies per intervention, of variable scientific quality and from diverse locations which limits generalisability of findings. Importantly, there still exists a disconnect between economic research, decision making and programmer implementation. This can be explained by the lack of translation of research findings into accessible documentation for policy makers and limited relevance of research findings, and the often low importance of economic evidence in budgeting decisions. These findings underline the importance of involving policy makers in the defining of research agendas and commissioning of research, and improving the awareness of researchers of the policy environment into which their research feeds. PMID:21572840
Sherman, Kerry A; Shaw, Laura-Kate E; Winch, Caleb J; Harcourt, Diana; Boyages, John; Cameron, Linda D; Brown, Paul; Lam, Thomas; Elder, Elisabeth; French, James; Spillane, Andrew
2016-10-01
Deciding whether or not to have breast reconstruction following breast cancer diagnosis is a complex decision process. This randomized controlled trial assessed the impact of an online decision aid [Breast RECONstruction Decision Aid (BRECONDA)] on breast reconstruction decision-making. Women (n = 222) diagnosed with breast cancer or ductal carcinoma in situ, and eligible for reconstruction following mastectomy, completed an online baseline questionnaire. They were then assigned randomly to receive either standard online information about breast reconstruction (control) or standard information plus access to BRECONDA (intervention). Participants then completed questionnaires at 1 and 6 months after randomization. The primary outcome was participants' decisional conflict 1 month after exposure to the intervention. Secondary outcomes included decisional conflict at 6 months, satisfaction with information at 1 and 6 months, and 6-month decisional regret. Linear mixed-model analyses revealed that 1-month decisional conflict was significantly lower in the intervention group (27.18) compared with the control group (35.5). This difference was also sustained at the 6-month follow-up. Intervention participants reported greater satisfaction with information at 1- and 6-month follow-up, and there was a nonsignificant trend for lower decisional regret in the intervention group at 6-month follow-up. Intervention participants' ratings for BRECONDA demonstrated high user acceptability and overall satisfaction. Women who accessed BRECONDA benefited by experiencing significantly less decisional conflict and being more satisfied with information regarding the reconstruction decisional process than women receiving standard care alone. These findings support the efficacy of BRECONDA in helping women to arrive at their breast reconstruction decision.
Reyna, Valerie F; Nelson, Wendy L; Han, Paul K; Pignone, Michael P
2015-01-01
We review decision making along the cancer continuum in the contemporary context of informed and shared decision making in which patients are encouraged to take a more active role in their health care. We discuss challenges to achieving informed and shared decision making, including cognitive limitations and emotional factors, but argue that understanding the mechanisms of decision making offers hope for improving decision support. Theoretical approaches to decision making that explain cognition, emotion, and their interaction are described, including classical psychophysical approaches, dual-process approaches that focus on conflicts between emotion versus cognition (or reason), and modern integrative approaches such as fuzzy-trace theory. In contrast to the earlier emphasis on rote use of numerical detail, modern approaches emphasize understanding the bottom-line gist of options (which encompasses emotion and other influences on meaning) and retrieving relevant social and moral values to apply to those gist representations. Finally, research on interventions to support better decision making in clinical settings is reviewed, drawing out implications for future research on decision making and cancer. PsycINFO Database Record (c) 2015 APA, all rights reserved.
Chien, Li-Yin; Tai, Chen-Jei; Yeh, Mei-Chiang
2012-01-01
Domestic decision-making power is an integral part of women's empowerment. No study has linked domestic decision-making power and social support concurrently to postpartum depression and compared these between immigrant and native populations. The aim of this study was to examine domestic decision-making power and social support and their relationship to postpartum depressive symptoms among immigrant and native women in Taiwan. This cross-sectional survey included 190 immigrant and 190 native women who had delivered healthy babies during the past year in Taipei City. Depression was measured using the Edinburgh Postnatal Depression Scale, with a cutoff score of 10. Logistic regression was used to determine the factors associated with postpartum depression symptoms. Immigrant mothers had significantly higher prevalence of postpartum depression symptoms (41.1% vs. 8.4%) and had significantly lower levels of domestic decision-making power and social support than native mothers did. Logistic regression showed that insufficient family income was associated with an increased risk of postpartum depression symptoms, whereas social support and domestic decision-making power levels were associated negatively with postpartum depression symptoms. After accounting for these factors, immigrant women remained at higher risk of postpartum depression symptoms than native women did, odds ratio = 2.59, 95% CI [1.27, 5.28]. Domestic decision-making power and social support are independent protective factors for postpartum depression symptoms among immigrant and native women in Taiwan. Social support and empowerment interventions should be tested to discover whether they are able to prevent or alleviate postpartum depression symptoms, with special emphasis on immigrant mothers.
Multidisciplinary COPD disease management program: impact on clinical outcomes.
Morganroth, Melvin; Pape, Ginger; Rozenfeld, Yelena; Heffner, John E
2016-01-01
We hypothesized performance improvement interventions would improve COPD guideline-recommended care and decrease COPD exacerbations in primary care clinic practices. We initiated a performance improvement project in 12 clinics to improve COPD outcomes incorporating physician education, case management, web-based decision support (CareManager(TM)), and performance feedback. We collected baseline and one-year follow up data on 242 patients who had COPD with acute exacerbations. We analyzed data by two methods. First, the 12 clinics were cluster randomized to 4 intervention (117 patients) and 8 control (125 patients) clinics which all had access to CareManager(TM) but only intervention clinic physicians received case management, academic detailing, and decision support assistance. Exacerbation rates and guideline adherence were compared. Second, data from all 12 clinics were pooled in a quasi-experimental design comparing baseline and post-implementation of CareManager(TM) to determine the value of system-wide performance improvement during the study period. In the randomized analysis, baseline demographics were similar. No differences (p = 0.79) occurred in exacerbation rates between intervention and control clinics although both groups had decreased numbers of exacerbations from baseline to follow up (p < 0.05). The pooled data from all 12 clinics demonstrated a reduction (p < 0.05) in mean exacerbations/patient from 2.3 (CI 2.0-2.6) during baseline to 1.4 (CI 1.1-1.7) at one-year follow up. Emergency department visits and hospitalizations/patient decreased (p = 0.003). Patients naïve at study start to depression screening, pneumococcal vaccination, inhaled control medications or smoking cessation had fewer (p < 0.05) exacerbations after these interventions. We observed no difference in exacerbation rates between clinics receiving case management, academic detailing, and ongoing assistance with decision support and controls. Implementation of a web-based disease management system (CareManager(TM)) along with health system-wide COPD performance improvement efforts was associated with fewer COPD exacerbations and increased adherence to guideline recommendations.
Clarke, Gemma; Galbraith, Sarah; Woodward, Jeremy; Holland, Anthony; Barclay, Stephen
2015-06-11
Some people with progressive neurological diseases find they need additional support with eating and drinking at mealtimes, and may require artificial nutrition and hydration. Decisions concerning artificial nutrition and hydration at the end of life are ethically complex, particularly if the individual lacks decision-making capacity. Decisions may concern issues of life and death: weighing the potential for increasing morbidity and prolonging suffering, with potentially shortening life. When individuals lack decision-making capacity, the standard processes of obtaining informed consent for medical interventions are disrupted. Increasingly multi-professional groups are being utilised to make difficult ethical decisions within healthcare. This paper reports upon a service evaluation which examined decision-making within a UK hospital Feeding Issues Multi-Professional Team. A three month observation of a hospital-based multi-professional team concerning feeding issues, and a one year examination of their records. The key research questions are: a) How are decisions made concerning artificial nutrition for individuals at risk of lacking decision-making capacity? b) What are the key decision-making factors that are balanced? c) Who is involved in the decision-making process? Decision-making was not a singular decision, but rather involved many different steps. Discussions involving relatives and other clinicians, often took place outside of meetings. Topics of discussion varied but the outcome relied upon balancing the information along four interdependent axes: (1) Risks, burdens and benefits; (2) Treatment goals; (3) Normative ethical values; (4) Interested parties. Decision-making was a dynamic ongoing process with many people involved. The multiple points of decision-making, and the number of people involved with the decision-making process, mean the question of 'who decides' cannot be fully answered. There is a potential for anonymity of multiple decision-makers to arise. Decisions in real world clinical practice may not fit precisely into a model of decision-making. The findings from this service evaluation illustrate that within multi-professional team decision-making; decisions may contain elements of both substituted and supported decision-making, and may be better represented as existing upon a continuum.
A dashboard-based system for supporting diabetes care.
Dagliati, Arianna; Sacchi, Lucia; Tibollo, Valentina; Cogni, Giulia; Teliti, Marsida; Martinez-Millana, Antonio; Traver, Vicente; Segagni, Daniele; Posada, Jorge; Ottaviano, Manuel; Fico, Giuseppe; Arredondo, Maria Teresa; De Cata, Pasquale; Chiovato, Luca; Bellazzi, Riccardo
2018-05-01
To describe the development, as part of the European Union MOSAIC (Models and Simulation Techniques for Discovering Diabetes Influence Factors) project, of a dashboard-based system for the management of type 2 diabetes and assess its impact on clinical practice. The MOSAIC dashboard system is based on predictive modeling, longitudinal data analytics, and the reuse and integration of data from hospitals and public health repositories. Data are merged into an i2b2 data warehouse, which feeds a set of advanced temporal analytic models, including temporal abstractions, care-flow mining, drug exposure pattern detection, and risk-prediction models for type 2 diabetes complications. The dashboard has 2 components, designed for (1) clinical decision support during follow-up consultations and (2) outcome assessment on populations of interest. To assess the impact of the clinical decision support component, a pre-post study was conducted considering visit duration, number of screening examinations, and lifestyle interventions. A pilot sample of 700 Italian patients was investigated. Judgments on the outcome assessment component were obtained via focus groups with clinicians and health care managers. The use of the decision support component in clinical activities produced a reduction in visit duration (P ≪ .01) and an increase in the number of screening exams for complications (P < .01). We also observed a relevant, although nonstatistically significant, increase in the proportion of patients receiving lifestyle interventions (from 69% to 77%). Regarding the outcome assessment component, focus groups highlighted the system's capability of identifying and understanding the characteristics of patient subgroups treated at the center. Our study demonstrates that decision support tools based on the integration of multiple-source data and visual and predictive analytics do improve the management of a chronic disease such as type 2 diabetes by enacting a successful implementation of the learning health care system cycle.
Hackett, Julia; Bekker, Hilary; Bennett, Michael I; Carder, Paul; Gallagher, Jean; Henry, Claire; Kite, Suzanne; Taylor, Sally; Velikova, Galina; Ziegler, Lucy
2018-05-14
For patients with advanced cancer, timely access to palliative care can improve quality of life and enable patients to participate in decisions about their end-of-life care. However, in a UK population of 2500 patients who died from cancer, one-third did not receive specialist palliative care, and of those who did, the duration of involvement was too short to maximise the benefits. Initiating a conversation about palliative care is challenging for some health professionals and patients often have unmet information needs and misconceptions about palliative care. We will work closely with patients and health professionals to develop a patient decision aid and health professional training module designed to facilitate a timely and informed conversation about palliative care. This study is being conducted over 24 months from November 2017 to October 2019 and follows the UK Medical Research Council framework for developing complex interventions and the International Patient Decision Aids Guideline. The Ottawa Decision Support Framework underpins the study. The Supporting Timely Engagement with Palliative care (STEP) intervention will be developed though an iterative process informed by interviews and focus groups with patients with advanced cancer, oncologists, general practitioners and palliative care doctors. An expert panel will also review each iteration. The expert panel will consist of a patient representative with experience of palliative care, health professionals who are involved in advanced cancer care decision-making, a medical education expert and the National Council for Palliative Care director of transformation. The feasibility and acceptability of the decision aid and doctor training will be tested in oncology and general practice settings. Ethical approval for the study has been granted by the Office for Research Ethics Committees Northern Ireland (ORECNI), approval reference 17/NI/0249. Dissemination and knowledge transfer will be conducted via publications, national bodies and networks, and patient and family groups. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Development and testing of a decision aid on goals of care for advanced dementia.
Einterz, Seth F; Gilliam, Robin; Lin, Feng Chang; McBride, J Marvin; Hanson, Laura C
2014-04-01
Decision aids are effective to improve decision-making, yet they are rarely tested in nursing homes (NHs). Study objectives were to (1) examine the feasibility of a goals of care (GOC) decision aid for surrogate decision-makers (SDMs) of persons with dementia; and (2) to test its effect on quality of communication and decision-making. Pre-post intervention to test a GOC decision aid intervention for SDMs for persons with dementia in NHs. Investigators collected data from reviews of resident health records and interviews with SDMs at baseline and 3-month follow-up. Two NHs in North Carolina. Eighteen residents who were over 65 years of age, had moderate to severe dementia on the global deterioration scale (5, 6, or 7), and an English-speaking surrogate decision-maker. (1) GOC decision aid video viewed by the SDM and (2) a structured care plan meeting between the SDM and interdisciplinary NH team. Surrogate knowledge, quality of communication with health care providers, surrogate-provider concordance on goals of care, and palliative care domains addressed in the care plan. Eighty-nine percent of the SDMs thought the decision aid was relevant to their needs. After viewing the video decision aid, SDMs increased the number of correct responses on knowledge-based questions (12.5 vs 14.2; P < .001). At 3 months, they reported improved quality of communication scores (6.1 vs 6.8; P = .01) and improved concordance on primary goal of care with NH team (50% vs 78%; P = .003). The number of palliative care domains addressed in the care plan increased (1.8 vs 4.3; P < .001). The decision-support intervention piloted in this study was feasible and relevant for surrogate decision-makers of persons with advanced dementia in NHs, and it improved quality of communication between SDM and NH providers. A larger randomized clinical trial is underway to provide further evidence of the effects of this decision aid intervention. Copyright © 2014 American Medical Directors Association, Inc. Published by Elsevier Inc. All rights reserved.
Heath, Gemma; Abdin, Shanara; Begum, Rahima; Kearney, Shauna
2016-08-01
Against a backdrop of recommendations for increasing access to and uptake of early surgical intervention for children with medically intractable epilepsy, it is important to understand how parents and professionals decide to put children forward for epilepsy surgery and what their decisional support needs are. The aim of this study was to explore how parents and health professionals make decisions regarding putting children forward for pediatric epilepsy surgery. Individual interviews were conducted with nine parents of children who had undergone pediatric epilepsy surgery at a specialist children's hospital and ten healthcare professionals who made up the children's epilepsy surgery service multidisciplinary healthcare team (MDT). Three MDT meetings were also observed. Data were analyzed thematically. Four themes were generated from analysis of interviews with parents: presentation of surgery as a treatment option, decision-making, looking back, and interventions. Three themes were generated from analysis of interviews/observations with health professionals: triangulating information, team working, and patient and family perspectives. Parents wanted more information and support in deciding to put their child forward for epilepsy surgery. They attempted to balance the potential benefits of surgery against any risks of harm. For health professionals, a multidisciplinary approach was seen as crucial to the decision-making process. Advocating for the family was perceived to be the responsibility of nonmedical professionals. Decision-making can be supported by incorporating families into discussions regarding epilepsy surgery as a potential treatment option earlier in the process and by providing families with additional information and access to other parents with similar experiences. Copyright © 2016 Elsevier Inc. All rights reserved.
Shegog, Ross; Begley, Charles E
2017-01-01
Epilepsy is a neurological disorder involving recurrent seizures. It affects approximately 5 million people in the U.S. To optimize their quality of life people with epilepsy are encouraged to engage in self-management (S-M) behaviors. These include managing their treatment (e.g., adhering to anti-seizure medication and clinical visit schedules), managing their seizures (e.g., responding to seizure episodes), managing their safety (e.g., monitoring and avoiding environmental seizure triggers), and managing their co-morbid conditions (e.g., anxiety, depression). The clinic-based Management Information Decision Support Epilepsy Tool (MINDSET) is a decision-support system founded on theory and empirical evidence. It is designed to increase awareness by adult patients (≥18 years) and their health-care provider regarding the patient's epilepsy S-M behaviors, facilitate communication during the clinic visit to prioritize S-M goals and strategies commensurate with the patient's needs, and increase the patient's self-efficacy to achieve those goals. The purpose of this paper is to describe the application of intervention mapping (IM) to develop, implement, and formatively evaluate the clinic-based MINDSET prototype and in developing implementation and evaluation plans. Deliverables comprised a logic model of the problem (IM Step 1); matrices of program objectives (IM Step 2); a program planning document comprising scope, sequence, theory-based methods, and practical strategies (IM Step 3); a functional MINDSET program prototype (IM Step 4); plans for implementation (IM Step 5); and evaluation (IM Step 6). IM provided a logical and systematic approach to developing and evaluating clinic-based decision support toward epilepsy S-M.
Complex Care Options for Patients With Advanced Heart Failure Approaching End of Life.
Wordingham, Sara E; McIlvennan, Colleen K; Dionne-Odom, J Nicholas; Swetz, Keith M
2016-02-01
Care for patients with advanced cardiac disease continues to evolve in a complex milieu of therapeutic options, advanced technological interventions, and efforts at improving patient-centered care and shared decision-making. Despite improvements in quality of life and survival with these interventions, optimal supportive care across the advanced illness trajectory remains diverse and heterogeneous. Herein, we outline challenges in prognostication, communication, and caregiving in advanced heart failure and review the unique needs of patients who experience frequent hospitalizations, require chronic home inotropic support, and who have implantable cardioverter-defibrillators and mechanical circulatory support in situ, to name a few.
Marsh, Kevin; Caro, J Jaime; Hamed, Alaa; Zaiser, Erica
2017-04-01
Qualitative methods tend to be used to incorporate patient preferences into healthcare decision making. However, for patient preferences to be given adequate consideration by decision makers they need to be quantified. Multi-criteria decision analysis (MCDA) is one way to quantify and capture the patient voice. The objective of this review was to report on existing MCDAs involving patients to support the future use of MCDA to capture the patient voice. MEDLINE and EMBASE were searched in June 2014 for English-language papers with no date restriction. The following search terms were used: 'multi-criteria decision*', 'multiple criteria decision*', 'MCDA', 'benefit risk assessment*', 'risk benefit assessment*', 'multicriteri* decision*', 'MCDM', 'multi-criteri* decision*'. Abstracts were included if they reported the application of MCDA to assess healthcare interventions where patients were the source of weights. Abstracts were excluded if they did not apply MCDA, such as discussions of how MCDA could be used; or did not evaluate healthcare interventions, such as MCDAs to assess the level of health need in a locality. Data were extracted on weighting method, variation in patient and expert preferences, and discussion on different weighting techniques. The review identified ten English-language studies that reported an MCDA to assess healthcare interventions and involved patients as a source of weights. These studies reported 12 applications of MCDA. Different methods of preference elicitation were employed: direct weighting in workshops; discrete choice experiment surveys; and the analytical hierarchy process using both workshops and surveys. There was significant heterogeneity in patient responses and differences between patients, who put greater weight on disease characteristics and treatment convenience, and experts, who put more weight on efficacy. The studies highlighted cognitive challenges associated with some weighting methods, though patients' views on their ability to undertake weighting tasks was positive. This review identified several recent examples of MCDA used to elicit patient preferences, which support the feasibility of using MCDA to capture the patient voice. Challenges identified included, how best to reflect the heterogeneity of patient preferences in decision making and how to manage the cognitive burden associated with some MCDA tasks.
DeJonckheere, Melissa; Robinson, Claire H; Evans, Lindsey; Lowery, Julie; Youles, Bradley; Tremblay, Adam; Kelley, Caitlin; Sussman, Jeremy B
2018-04-24
Recent clinical practice guidelines from major national organizations, including a joint United States Department of Veterans Affairs (VA) and Department of Defense (DoD) committee, have substantially changed recommendations for the use of the cholesterol-lowering statin medications after years of relative stability. Because statin medications are among the most commonly prescribed treatments in the United States, any change in their use may have significant implications for patients and providers alike. Prior research has shown that effective implementation interventions should be both user centered and specifically chosen to address identified barriers. The objectives of this study were to identify potential determinants of provider uptake of the new statin guidelines and to use that information to tailor a coordinated and streamlined local quality improvement intervention focused on prescribing appropriate statins. We employed user-centered design principles to guide the development and testing of a multicomponent guideline implementation intervention to improve statin prescribing. This paper describes the intervention development process whereby semistructured qualitative interviews with providers were conducted to (1) illuminate the knowledge, attitudes, and behaviors of providers and (2) elicit feedback on intervention prototypes developed to align with and support the use of the VA/DoD guidelines. Our aim was to use this information to design a local quality improvement intervention focused on statin prescribing that was tailored to the needs of primary care providers at our facility. Cabana's Clinical Practice Guidelines Framework for Improvement and Nielsen's Usability Heuristics were used to guide the analysis of data obtained in the intervention development process. Semistructured qualitative interviews were conducted with 15 primary care Patient Aligned Care Team professionals (13 physicians and 2 clinical pharmacists) at a single VA medical center. Findings highlight that providers were generally comfortable with the paradigm shift to risk-based guidelines but less clear on the need for the VA/DoD guidelines in specific. Providers preferred a clinical decision support tool that helped them calculate patient risk and guide their care without limiting autonomy. They were less comfortable with risk communication and performance measurement systems that do not account for shared decision making. When possible, we incorporated their recommendations into the intervention. By combining qualitative methods and user-centered design principles, we could inform the design of a multicomponent guideline implementation intervention to better address the needs and preferences of providers, including clear and direct language, logical decision prompts with an option to dismiss a clinical decision support tool, and logical ordering of feedback information. Additionally, this process allowed us to identify future design considerations for quality improvement interventions. ©Melissa DeJonckheere, Claire H Robinson, Lindsey Evans, Julie Lowery, Bradley Youles, Adam Tremblay, Caitlin Kelley, Jeremy B Sussman. Originally published in JMIR Human Factors (http://humanfactors.jmir.org), 24.04.2018.
Implementing shared decision making in routine mental health care
Slade, Mike
2017-01-01
Shared decision making (SDM) in mental health care involves clinicians and patients working together to make decisions. The key elements of SDM have been identified, decision support tools have been developed, and SDM has been recommended in mental health at policy level. Yet implementation remains limited. Two justifications are typically advanced in support of SDM. The clinical justification is that SDM leads to improved outcome, yet the available empirical evidence base is inconclusive. The ethical justification is that SDM is a right, but clinicians need to balance the biomedical ethical principles of autonomy and justice with beneficence and non‐maleficence. It is argued that SDM is “polyvalent”, a sociological concept which describes an idea commanding superficial but not deep agreement between disparate stakeholders. Implementing SDM in routine mental health services is as much a cultural as a technical problem. Three challenges are identified: creating widespread access to high‐quality decision support tools; integrating SDM with other recovery‐supporting interventions; and responding to cultural changes as patients develop the normal expectations of citizenship. Two approaches which may inform responses in the mental health system to these cultural changes – social marketing and the hospitality industry – are identified. PMID:28498575
Comparative effectiveness research in hand surgery.
Johnson, Shepard P; Chung, Kevin C
2014-08-01
Comparative effectiveness research (CER) is a concept initiated by the Institute of Medicine and financially supported by the federal government. The primary objective of CER is to improve decision making in medicine. This research is intended to evaluate the effectiveness, benefits, and harmful effects of alternative interventions. CER studies are commonly large, simple, observational, and conducted using electronic databases. To date, there is little comparative effectiveness evidence within hand surgery to guide therapeutic decisions. To draw conclusions on effectiveness through electronic health records, databases must contain clinical information and outcomes relevant to hand surgery interventions, such as patient-related outcomes. Copyright © 2014 Elsevier Inc. All rights reserved.
Creating an advance-care-planning decision aid for high-risk surgery: a qualitative study
2014-01-01
Background High-risk surgery patients may lose decision-making capacity as a result of surgical complications. Advance care planning prior to surgery may be beneficial, but remains controversial and is hindered by a lack of appropriate decision aids. This study sought to examine stakeholders’ views on the appropriateness of using decision aids, in general, to support advance care planning among high-risk surgery populations and the design of such a decision aid. Methods Key informants were recruited through purposive and snowball sampling. Semi-structured interviews were conducted by phone until data collected reached theoretical saturation. Key informants were asked to discuss their thoughts about advance care planning and interventions to support advance care planning, particularly for this population. Researchers took de-identified notes that were analyzed for emerging concordant, discordant, and recurrent themes using interpretative phenomenological analysis. Results Key informants described the importance of initiating advance care planning preoperatively, despite potential challenges present in surgical settings. In general, decision aids were viewed as an appropriate approach to support advance care planning for this population. A recipe emerged from the data that outlines tools, ingredients, and tips for success that are needed to design an advance care planning decision aid for high-risk surgical settings. Conclusions Stakeholders supported incorporating advance care planning in high-risk surgical settings and endorsed the appropriateness of using decision aids to do so. Findings will inform the next stages of developing the first advance care planning decision aid for high-risk surgery patients. PMID:25067908
Creating an advance-care-planning decision aid for high-risk surgery: a qualitative study.
Schuster, Anne Lr; Aslakson, Rebecca A; Bridges, John Fp
2014-01-01
High-risk surgery patients may lose decision-making capacity as a result of surgical complications. Advance care planning prior to surgery may be beneficial, but remains controversial and is hindered by a lack of appropriate decision aids. This study sought to examine stakeholders' views on the appropriateness of using decision aids, in general, to support advance care planning among high-risk surgery populations and the design of such a decision aid. Key informants were recruited through purposive and snowball sampling. Semi-structured interviews were conducted by phone until data collected reached theoretical saturation. Key informants were asked to discuss their thoughts about advance care planning and interventions to support advance care planning, particularly for this population. Researchers took de-identified notes that were analyzed for emerging concordant, discordant, and recurrent themes using interpretative phenomenological analysis. Key informants described the importance of initiating advance care planning preoperatively, despite potential challenges present in surgical settings. In general, decision aids were viewed as an appropriate approach to support advance care planning for this population. A recipe emerged from the data that outlines tools, ingredients, and tips for success that are needed to design an advance care planning decision aid for high-risk surgical settings. Stakeholders supported incorporating advance care planning in high-risk surgical settings and endorsed the appropriateness of using decision aids to do so. Findings will inform the next stages of developing the first advance care planning decision aid for high-risk surgery patients.
mHealth for Clinical Decision-Making in Sub-Saharan Africa: A Scoping Review
Albersen, Bregje Joanna Antonia; De Brouwere, Vincent; van Roosmalen, Jos; Zweekhorst, Marjolein
2017-01-01
Background In a bid to deliver quality health services in resource-poor settings, mobile health (mHealth) is increasingly being adopted. The role of mHealth in facilitating evidence-based clinical decision-making through data collection, decision algorithms, and evidence-based guidelines, for example, is established in resource-rich settings. However, the extent to which mobile clinical decision support systems (mCDSS) have been adopted specifically in resource-poor settings such as Africa and the lessons learned about their use in such settings are yet to be established. Objective The aim of this study was to synthesize evidence on the use of mHealth for point-of-care decision support and improved quality of care by health care workers in Africa. Methods A scoping review of 4 peer-reviewed and 1 grey literature databases was conducted. No date limits were applied, but only articles in English language were selected. Using pre-established criteria, 2 reviewers screened articles and extracted data. Articles were analyzed using Microsoft Excel and MAXQDA. Results We retained 22 articles representing 11 different studies in 7 sub-Saharan African countries. Interventions were mainly in the domain of maternal health and ranged from simple text messaging (short message service, SMS) to complex multicomponent interventions. Although health workers are generally supportive of mCDSS and perceive them as useful, concerns about increased workload and altered workflow hinder sustainability. Facilitators and barriers to use of mCDSS include technical and infrastructural support, ownership, health system challenges, and training. Conclusions The use of mCDSS in sub-Saharan Africa is an indication of progress in mHealth, although their effect on quality of service delivery is yet to be fully explored. Lessons learned are useful for informing future research, policy, and practice for technologically supported health care delivery, especially in resource-poor settings. PMID:28336504
Zapor, Heather; Wolford-Clevenger, Caitlin; Johnson, Dawn M
2018-04-01
For survivors of intimate partner violence (IPV), it is often difficult to take steps to establish safety and obtain a violence free life. Researchers have applied stage of change theory to aid in understanding the experience of survivors, as well as, the factors that can help women who desire to make changes in or break free from a violent relationship. Social support is one factor that can be helpful to IPV survivors who are attempting to make changes in their relationship. The purpose of the current study was to examine the differences in social support experienced by women who are at varying points in the process of change. Shelter residents ( N = 191) participated in this cross-sectional non-experimental study. Analyses demonstrated five distinct clusters or profiles of change among study participants and were labeled by the authors as follows: preparticipation, decision making, engagement, ambivalent, and action. All forms of social support (i.e., structural, functional, and satisfaction) were generally higher for individuals more engaged in the process of change. More specifically, differences were noted between the action and decision-making clusters and the engagement and decision-making clusters. These findings suggest that it is vital that clinicians working with survivors of IPV not only assess but also tailor interventions to meet survivors where they are in the process of change. Further, interventions that foster survivors' abilities to develop reliable and satisfying social support networks will be beneficial for survivors of IPV.
Multi-criteria development and incorporation into decision tools for health technology adoption.
Poulin, Paule; Austen, Lea; Scott, Catherine M; Waddell, Cameron D; Dixon, Elijah; Poulin, Michelle; Lafrenière, René
2013-01-01
When introducing new health technologies, decision makers must integrate research evidence with local operational management information to guide decisions about whether and under what conditions the technology will be used. Multi-criteria decision analysis can support the adoption or prioritization of health interventions by using criteria to explicitly articulate the health organization's needs, limitations, and values in addition to evaluating evidence for safety and effectiveness. This paper seeks to describe the development of a framework to create agreed-upon criteria and decision tools to enhance a pre-existing local health technology assessment (HTA) decision support program. The authors compiled a list of published criteria from the literature, consulted with experts to refine the criteria list, and used a modified Delphi process with a group of key stakeholders to review, modify, and validate each criterion. In a workshop setting, the criteria were used to create decision tools. A set of user-validated criteria for new health technology evaluation and adoption was developed and integrated into the local HTA decision support program. Technology evaluation and decision guideline tools were created using these criteria to ensure that the decision process is systematic, consistent, and transparent. This framework can be used by others to develop decision-making criteria and tools to enhance similar technology adoption programs. The development of clear, user-validated criteria for evaluating new technologies adds a critical element to improve decision-making on technology adoption, and the decision tools ensure consistency, transparency, and real-world relevance.
Sivell, Stephanie; Marsh, William; Edwards, Adrian; Manstead, Antony S R; Clements, Alison; Elwyn, Glyn
2012-02-01
Design and undertake usability and field-testing evaluation of a theory-guided decision aid (BresDex) in supporting women choosing surgery for early breast cancer. An extended Theory of Planned Behavior (TPB) and the Common Sense Model of Illness Representations (CSM) guided the design of BresDex. BresDex was evaluated and refined across 3 cycles by interviewing 6 women without personal history of breast cancer, 8 women with personal history of breast cancer who had completed treatment and 11 women newly diagnosed with breast cancer. Participants were interviewed for views on content, presentation (usability) and perceived usefulness towards deciding on treatment (utility). Framework analysis was used, guided by the extended TPB and the CSM. BresDex was positively received in content and presentation (usability). It appeared an effective support to decision-making and useful source for further information, particularly in clarifying attitudes, social norms and perceived behavioral control, and presenting consequences of decisions (utility). This study illustrates the potential benefit of the extended TPB and CSM in designing a decision aid to support women choosing breast cancer surgery. BresDex could provide decision-making support and serve as an additional source of information, to complement the care received from the clinical team. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
Waldron, Nicholas; Johnson, Claire E; Saul, Peter; Waldron, Heidi; Chong, Jeffrey C; Hill, Anne-Marie; Hayes, Barbara
2016-10-06
Advance cardiopulmonary resuscitation (CPR) decision-making and escalation of care discussions are variable in routine clinical practice. We aimed to explore physician barriers to advance CPR decision-making in an inpatient hospital setting and develop a pragmatic intervention to support clinicians to undertake and document routine advance care planning discussions. Two focus groups, which involved eight consultants and ten junior doctors, were conducted following a review of the current literature. A subsequent iterative consensus process developed two intervention elements: (i) an updated 'Goals of Patient Care' (GOPC) form and process; (ii) an education video and resources for teaching advance CPR decision-making and communication. A multidisciplinary group of health professionals and policy-makers with experience in systems development, education and research provided critical feedback. Three key themes emerged from the focus groups and the literature, which identified a structure for the intervention: (i) knowing what to say; (ii) knowing how to say it; (iii) wanting to say it. The themes informed the development of a video to provide education about advance CPR decision-making framework, improving communication and contextualising relevant clinical issues. Critical feedback assisted in refining the video and further guided development and evolution of a medical GOPC approach to discussing and recording medical treatment and advance care plans. Through an iterative process of consultation and review, video-based education and an expanded GOPC form and approach were developed to address physician and systemic barriers to advance CPR decision-making and documentation. Implementation and evaluation across hospital settings is required to examine utility and determine effect on quality of care.
Dixon, Brian E; Gamache, Roland E; Grannis, Shaun J
2013-05-01
To summarize the literature describing computer-based interventions aimed at improving bidirectional communication between clinical and public health. A systematic review of English articles using MEDLINE and Google Scholar. Search terms included public health, epidemiology, electronic health records, decision support, expert systems, and decision-making. Only articles that described the communication of information regarding emerging health threats from public health agencies to clinicians or provider organizations were included. Each article was independently reviewed by two authors. Ten peer-reviewed articles highlight a nascent but promising area of research and practice related to alerting clinicians about emerging threats. Current literature suggests that additional research and development in bidirectional communication infrastructure should focus on defining a coherent architecture, improving interoperability, establishing clear governance, and creating usable systems that will effectively deliver targeted, specific information to clinicians in support of patient and population decision-making. Increasingly available clinical information systems make it possible to deliver timely, relevant knowledge to frontline clinicians in support of population health. Future work should focus on developing a flexible, interoperable infrastructure for bidirectional communications capable of integrating public health knowledge into clinical systems and workflows.
Thinking outside the box: prenatal care and the call for a prenatal advance directive.
Catlin, Anita
2005-01-01
The concept of advance directives is well-known in the care of adults as a mechanism for choosing in advance the extent of medical interventions desired in clinical situations, particularly life-extending interventions such as ventilation support and drugs to maintain cardiopulmonary status. Infants born extremely prematurely often require life-supporting measures for which their parents or guardians report feeling unprepared to make decisions about. Current prenatal care does not include an educational component that teaches women about the length of gestation needed for a healthy viability, survivorship, and outcome without major impairment. Women who go into preterm labor are asked to make immediate decisions during times of crisis without any formal education base for this decision making. Feminist ethics (the philosophical stance that articulates that women's moral experience is worthy of respect and disallows women's subordination) (Becker LB, Becker CB, eds. Feminist ethics. In: Encyclopedia of Ethics. New York: Routledge Press; 2001) requires that healthcare decisions be based on education, context, and particular situations. The purpose of this article is to examine the current content of typical prenatal care and education and to suggest an additional educational component to prenatal care-education of women about infant viability and the planning of future decisions if a nonviable or critically ill newborn is delivered. A prenatal discussion and parental/family directive is suggested.
Dashboard visualizations: Supporting real-time throughput decision-making.
Franklin, Amy; Gantela, Swaroop; Shifarraw, Salsawit; Johnson, Todd R; Robinson, David J; King, Brent R; Mehta, Amit M; Maddow, Charles L; Hoot, Nathan R; Nguyen, Vickie; Rubio, Adriana; Zhang, Jiajie; Okafor, Nnaemeka G
2017-07-01
Providing timely and effective care in the emergency department (ED) requires the management of individual patients as well as the flow and demands of the entire department. Strategic changes to work processes, such as adding a flow coordination nurse or a physician in triage, have demonstrated improvements in throughput times. However, such global strategic changes do not address the real-time, often opportunistic workflow decisions of individual clinicians in the ED. We believe that real-time representation of the status of the entire emergency department and each patient within it through information visualizations will better support clinical decision-making in-the-moment and provide for rapid intervention to improve ED flow. This notion is based on previous work where we found that clinicians' workflow decisions were often based on an in-the-moment local perspective, rather than a global perspective. Here, we discuss the challenges of designing and implementing visualizations for ED through a discussion of the development of our prototype Throughput Dashboard and the potential it holds for supporting real-time decision-making. Copyright © 2017. Published by Elsevier Inc.
The public health response to 'do-it-yourself' urbanism.
Sibbald, Shannon L; Graham, Ross; Gilliland, Jason
2017-09-01
Greater understanding of the important and complex relationship between the built environment and human health has made 'healthy places' a focus of public health and health promotion. While current literature concentrates on creating healthy places through traditional decision-making pathways (namely, municipal land use planning and urban design processes), this paper explores do-it-yourself (DIY) urbanism: a movement circumventing traditional pathways to, arguably, create healthy places and advance social justice. Despite being aligned with several health promotion goals, DIY urbanism interventions are typically illegal and have been categorized as a type of civil disobedience. This is challenging for public health officials who may value DIY urbanism outcomes, but do not necessarily support the means by which it is achieved. Based on the literature, we present a preliminary approach to health promotion decision-making in this area. Public health officials can voice support for DIY urbanism interventions in some instances, but should proceed cautiously.
Reducing work related psychological ill health and sickness absence: a systematic literature review
Michie, S; Williams, S
2003-01-01
A literature review revealed the following: key work factors associated with psychological ill health and sickness absence in staff were long hours worked, work overload and pressure, and the effects of these on personal lives; lack of control over work; lack of participation in decision making; poor social support; and unclear management and work role. There was some evidence that sickness absence was associated with poor management style. Successful interventions that improved psychological health and levels of sickness absence used training and organisational approaches to increase participation in decision making and problem solving, increase support and feedback, and improve communication. It is concluded that many of the work related variables associated with high levels of psychological ill health are potentially amenable to change. This is shown in intervention studies that have successfully improved psychological health and reduced sickness absence. PMID:12499449
Economic evaluation of health promotion for older people-methodological problems and challenges.
Huter, Kai; Kocot, Ewa; Kissimova-Skarbek, Katarzyna; Dubas-Jakóbczyk, Katarzyna; Rothgang, Heinz
2016-09-05
The support of health promotion activities for older people gains societal relevance in terms of enhancing the health and well-being of older people with a view to the efficient use of financial resources in the healthcare sector. Health economic evaluations have become an important instrument to support decision-making processes in many countries. Sound evidence on the cost-effectiveness of health promotion activities would encourage support for the implementation of health promotion activities for older people. This debate article discusses to what extent economic evaluation techniques are appropriate to support decision makers in the allocation of resources regarding health promotion activities for older people. We address the problem that the economic evaluation of these interventions is hampered by methodological obstacles that limit comparability, e.g. with economic evaluations of curative measures. Our central objective is to describe and discuss the specific problems and challenges entailed in the economic evaluation of health promotion activities especially for older people with regard to their usefulness for informing decision making processes. Beyond general problems concerning the economic evaluation of health promotion, our discussion focusses on problems that pertain to the analysis of cost and outcomes of health promotion interventions for older people. With regard to costs these are general problems of economic evaluations, namely the actual implementation of a societal perspective, the appropriate measurement and valuation of informal caregiver time, the measurement and valuation of productivity costs and costs incurred in added years of life. The main problems concerning the identification and measurement of outcomes are related to the identification of outcome parameters that, firstly, adequately reflect the broad effects of health promotion interventions, especially social benefits that gain importance for older people, and secondly, ensure a comparability of effects across different age groups. In particular, the limitations of the widely used QALY for older people are discussed and recently developed alternatives are presented. The key conclusion of the article is that a comparison of the effects of different health promotion initiatives between different age groups by means of economic evaluation is not recommendable. Taking into account the complex outcomes of health promotion interventions it has to be accepted that the outcomes of these interventions will often not be comparable with clinical interventions and have to be assessed differently.
Burner, Elizabeth; Lam, Chun Nok; DeRoss, Rebecca; Kagawa-Singer, Marjorie; Menchine, Michael; Arora, Sanjay
2018-01-01
Social support interventions can improve diabetes self-care, particularly for Latinos, but are time and resource intensive. Mobile health may overcome these barriers by engaging and training supporters remotely. We conducted a randomized controlled feasibility trial of emergency department patients with diabetes to determine the feasibility of enrolling patients and supporters, acceptability of the intervention, and preliminary efficacy results to power a larger trial. All patients received an existing mHealth curriculum (TExT-MED). After identifying a supporter, patients were randomized to intervention: supporters receiving FANS (family and friends network support), a text message support curriculum synchronized to patient messages, or control: supporters receiving a mailed pamphlet of the same information. Participants followed up at 3 months. FANS intervention participants came to postintervention interviews as part of a qualitative analysis. We enrolled 44 patients (22 per arm) and followed up 36 at 3 months. Participants were positive about the program. FANS intervention improved HbA1c (intervention mean decreased from 10.4% to 9.0% vs. from 10.1% to 9.5%, delta -0.8%, confidence interval [CI] -0.4 to 2, P = 0.30), self-monitoring of glucose (intervention increased 1.6 days/week vs. control decreased 2 days/week, delta 2.3 days/week, CI 4-0.6, P = 0.02), and physical activity (mean Godin leisure time activity score improved 16.1 vs. decreased 9.6 for control, delta 25.7, CI 49.2-2.3, P = 0.10). In qualitative analysis, patients reported improved motivation, behaviors, and relationships. Supporters reported making healthier decisions for themselves. mHealth is a feasible, acceptable, and promising avenue to improve social support and diabetes outcomes.
Cheung, Kei Long; Evers, Silvia M A A; Hiligsmann, Mickaël; Vokó, Zoltán; Pokhrel, Subhash; Jones, Teresa; Muñoz, Celia; Wolfenstetter, Silke B; Józwiak-Hagymásy, Judit; de Vries, Hein
2016-01-01
Despite an increased number of economic evaluations of tobacco control interventions, the uptake by stakeholders continues to be limited. Understanding the underlying mechanism in adopting such economic decision-support tools by stakeholders is therefore important. By applying the I-Change Model, this study aims to identify which factors determine potential uptake of an economic decision-support tool, i.e., the Return on Investment tool. Stakeholders (decision-makers, purchasers of services/pharma products, professionals/service providers, evidence generators and advocates of health promotion) were interviewed in five countries, using an I-Change based questionnaire. MANOVA's were conducted to assess differences between intenders and non-intenders regarding beliefs. A multiple regression analysis was conducted to identify the main explanatory variables of intention to use an economic decision-support tool. Ninety-three stakeholders participated. Significant differences in beliefs were found between non-intenders and intenders: risk perception, attitude, social support, and self-efficacy towards using the tool. Regression showed that demographics, pre-motivational, and motivational factors explained 69% of the variation in intention. This study is the first to provide a theoretical framework to understand differences in beliefs between stakeholders who do or do not intend to use economic decision-support tools, and empirically corroborating the framework. This contributes to our understanding of the facilitators and barriers to the uptake of these studies. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.
ERIC Educational Resources Information Center
Abbott, Mary; Beecher, Constance; Petersen, Sarah; Greenwood, Charles R.; Atwater, Jane
2017-01-01
Many schools around the country are getting positive responses implementing Response to Intervention (RTI) within a Multi-Tiered System of Support (MTSS) framework (e.g., Abbott, 2011; Ball & Trammell, 2011; Buysee & Peisner-Feinberg, 2009). RTI refers to an instructional model that is based on a student's response to instruction. RTI…
Venkatesh, G; Sægrov, Sveinung; Brattebø, Helge
2014-09-15
Urban water services are challenged from many perspectives and different stakeholders demand performance improvements along economic, social and environmental dimensions of sustainability. In response, urban water utilities systematically give more attention to criteria such as water safety, climate change adaptation and mitigation, environmental life cycle assessment (LCA), total cost efficiency, and on how to improve their operations within the water-energy-carbon nexus. The authors of this paper collaborated in the development of a 'Dynamic Metabolism Model' (DMM). The model is developed for generic use in the sustainability assessment of urban water services, and it has been initially tested for the city of Oslo, Norway. The purpose has been to adopt a holistic systemic perspective to the analysis of metabolism and environmental impacts of resource flows in urban water and wastewater systems, in order to offer a tool for the examination of future strategies and intervention options in such systems. This paper describes the model and its application to the city of Oslo for the analysis time period 2013-2040. The external factors impacting decision-making and interventions are introduced along with realistic scenarios developed for the testing, after consultation with officials at the Oslo Water and Wastewater Works (Norway). Possible interventions that the utility intends to set in motion are defined and numerically interpreted for incorporation into the model, and changes in the indicator values over the time period are determined. This paper aims to demonstrate the effectiveness and usefulness of the DMM, as a decision-support tool for water-wastewater utilities. The scenarios considered and interventions identified do not include all possible scenarios and interventions that can be relevant for water-wastewater utilities. Copyright © 2014 Elsevier Ltd. All rights reserved.
Economic Evaluation of Childhood Obesity Interventions: Reflections and Suggestions.
Frew, Emma
2016-08-01
Rising levels of childhood obesity present a serious global public health problem amounting to 7 % of GDP in developed countries and affecting 14 % of children. As such, many countries are investing increasingly large quantities of resource towards treatment and prevention. Whilst it is important to demonstrate the clinical effectiveness of any intervention, it is equally as important to demonstrate cost effectiveness as policy makers strive to get the best value for money from increasingly limited public resources. Economic evaluation assists with making these investment decisions and whilst it can offer considerable support in many healthcare contexts, applying it to a childhood obesity context is not straightforward. Childhood obesity is a complex disease with interventions being multi-component in nature. Furthermore, the interventions are implemented in a variety of settings such as schools, the community, and the home, and have costs and benefits that fall outside the health sector. This paper provides a reflection from a UK perspective on the application of the conventional approach to economic evaluation to childhood obesity. It offers suggestions for how evaluations should be designed to fit better within this context, and to meet the needs of local decision makers. An excellent example is the need to report costs using a micro-costing format and for benefit measurement to go beyond a health focus. This is critical as the organisation and commissioning of childhood obesity services is done from a Local Authority setting and this presents further challenges for what is the most appropriate economic evaluation approach to use. Given that adult obesity is now of epidemic proportions, the accurate assessment of childhood obesity interventions to support public health decision making is critical.
Sequist, Thomas D.; Ayanian, John Z.; Shaykevich, Shimon; Fairchild, David G.; Orav, E. John; Bates, David W.
2008-01-01
BACKGROUND We conducted a cluster randomized controlled trial to examine the effectiveness of computerized decision support (CDS) designed to improve hypertension care and outcomes in a racially diverse sample of primary care patients. METHODS We randomized 2,027 adult patients receiving hypertension care in 14 primary care practices to either 18 months of their physicians receiving CDS for each hypertensive patient or to usual care without computerized support for the control group. We assessed prescribing of guideline-recommended drug therapy and levels of blood pressure control for patients in each group and examined if the effects of the intervention differed by patients’ race/ethnicity using interaction terms. MEASUREMENTS AND MAIN RESULTS Rates of blood pressure control were 42% at baseline and 46% at the outcome visit with no significant differences between groups. After adjustment for patients’ demographic and clinical characteristics, number of prior visits, and levels of baseline blood pressure control, there were no differences between intervention groups in the odds of outcome blood pressure control. The use of CDS to providers significantly improved Joint National Committee (JNC) guideline adherent medication prescribing compared to usual care (7% versus 5%, P < 0.001); the effects of the intervention remained after multivariable adjustment (odds ratio [OR] 1.39 [CI, 1.13–1.72]) and the effects of the intervention did not differ by patients’ race and ethnicity. CONCLUSIONS CDS improved appropriate medication prescribing with no improvement in disparities in care and overall blood pressure control. Future work focusing on improvement of these interventions and the study of other practical interventions to reduce disparities in hypertension-related outcomes is needed. PMID:18373141
Sharff, McKane E; DeMarco, Tiffani A; Mays, Darren; Peshkin, Beth N; Valdimarsdottir, Heiddis B; Garber, Judy E; Schneider, Katherine A; Patenaude, Andrea F; Tercyak, Kenneth P
2012-05-01
Among mothers undergoing BRCA1/2 testing and their spouses/partners, this study sought to examine decision support needs and motivations for family communication of genetic risk information to asymptomatic children. This study gathered data from 213 tested mothers and 104 of their untested parenting partners 1 month after maternal receipt of genetic test results and upon making a decision about communicating genetic information to their child (ages 8-21 years). Data include parents' perceived needs for family communication decision support, decision motivations, and parent-child communication. Parents reported high decision support needs (e.g., educational materials, professional counseling, peer assistance). Motivations for disclosure to children among mothers and partners focused on promoting the parent-child bond and maintaining family health (55.3% and 75%, respectively) and promoting positive child affect (44.7% and 25.5%, respectively). Motivations for nondisclosure to children among mothers and partners focused on the lack of appropriateness (69.6% and 51.3%, respectively) and relative importance of genetic test results (30.4% and 48.7%, respectively). Significant discrepancies in parental motivation for family communication were observed. Decision support needs were highest among disclosing mothers with affect-related motivations [t (129)=2.47; p=0.01]. Parent-child communication was poorest among nondisclosing mothers concerned about the appropriateness of genetic information for their child [t (77)=-3.29; p=.002]. Parents receiving information about hereditary cancer predisposition have unmet needs when making decisions about disclosing genetic risk information to their asymptomatic children. These data can guide the development of cancer risk communication decision support interventions for parents undergoing such testing.
Effect of Palliative Care–Led Meetings for Families of Patients With Chronic Critical Illness
Carson, Shannon S.; Cox, Christopher E.; Wallenstein, Sylvan; Hanson, Laura C.; Danis, Marion; Tulsky, James A; Chai, Emily; Nelson, Judith E.
2016-01-01
IMPORTANCE Family caregivers of patients with chronic critical illness experience significant psychological distress. OBJECTIVE To determine whether family informational and emotional support meetings led by palliative care clinicians improve family anxiety and depression. DESIGN, SETTING, AND PARTICIPANTS A multicenter randomized clinical trial conducted from October 2010 through November 2014 in 4 medical intensive care units (ICUs). Adult patients (aged ≥21 years) requiring 7 days of mechanical ventilation were randomized and their family surrogate decision makers were enrolled in the study. Observers were blinded to group allocation for the measurement of the primary outcomes. INTERVENTIONS At least 2 structured family meetings led by palliative care specialists and provision of an informational brochure (intervention) compared with provision of an informational brochure and routine family meetings conducted by ICU teams (control). There were 130 patients with 184 family surrogate decision makers in the intervention group and 126 patients with 181 family surrogate decision makers in the control group. MAIN OUTCOMES AND MEASURES The primary outcome was Hospital Anxiety and Depression Scale symptom score (HADS; score range, 0 [best] to 42 [worst]; minimal clinically important difference, 1.5) obtained during 3-month follow-up interviews with the surrogate decision makers. Secondary outcomes included posttraumatic stress disorder experienced by the family and measured by the Impact of Events Scale-Revised (IES-R; total score range, 0 [best] to 88 [worst]), discussion of patient preferences, hospital length of stay, and 90-day survival. RESULTS Among 365 family surrogate decision makers (mean age, 51 years; 71% female), 312 completed the study. At 3 months, there was no significant difference in anxiety and depression symptoms between surrogate decision makers in the intervention group and the control group (adjusted mean HADS score, 12.2 vs 11.4, respectively; between-group difference, 0.8 [95% CI, −0.9 to 2.6]; P = .34). Posttraumatic stress disorder symptoms were higher in the intervention group (adjusted mean IES-R score, 25.9) compared with the control group (adjusted mean IES-R score, 21.3) (between-group difference, 4.60 [95% CI, 0.01 to 9.10]; P = .0495). There was no difference between groups regarding the discussion of patient preferences (intervention, 75% control, 83% odds ratio, 0.63 [95% CI, 0.34 to 1.16; P = .14]). The median number of hospital days for patients in the intervention vs the control group (19 days vs 23 days, respectively; between-group difference, −4 days [95% CI, −6 to 3 days]; P = .51) and 90-day survival (hazard ratio,0.95 [95% CI, 0.65 to 1.38], P = .96) were not significantly different. CONCLUSIONS AND RELEVANCE Among families of patients with chronic critical illness, the use of palliative care–led informational and emotional support meetings compared with usual care did not reduce anxiety or depression symptoms and may have increased posttraumatic stress disorder symptoms. These findings do not support routine or mandatory palliative care–led discussion of goals of care for all families of patients with chronic critical illness. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01230099 PMID:27380343
Sharkey, Siobhan; Hudak, Sandra; Horn, Susan D; Spector, William
2011-04-01
The goal of this article was to enhance understanding of the On-Time Quality Improvement for Long-term Care Program, a practical approach to embed health information technology into quality improvement in nursing homes that leverages certified nursing assistant documentation and knowledge, supports frontline clinical decision making, and establishes proactive intervention for pressure ulcer prevention.
Complex Decision-Making in Heart Failure: A Systematic Review and Thematic Analysis.
Hamel, Aimee V; Gaugler, Joseph E; Porta, Carolyn M; Hadidi, Niloufar Niakosari
Heart failure follows a highly variable and difficult course. Patients face complex decisions, including treatment with implantable cardiac defibrillators, mechanical circulatory support, and heart transplantation. The course of decision-making across multiple treatments is unclear yet integral to providing informed and shared decision-making. Recognizing commonalities across treatment decisions could help nurses and physicians to identify opportunities to introduce discussions and support shared decision-making. The specific aims of this review are to examine complex treatment decision-making, specifically implantable cardiac defibrillators, ventricular assist device, and cardiac transplantation, and to recognize commonalities and key points in the decisional process. MEDLINE, CINAHL, PsycINFO, and Web of Science were searched for English-language studies that included qualitative findings reflecting the complexity of heart failure decision-making. Using a 3-step process, findings were synthesized into themes and subthemes. Twelve articles met criteria for inclusion. Participants included patients, caregivers, and clinicians and included decisions to undergo and decline treatment. Emergent themes were "processing the decision," "timing and prognostication," and "considering the future." Subthemes described how participants received and understood information about the therapy, making and changing a treatment decision, timing their decision and gauging health status outcomes in the context of their decision, the influence of a life or death decision, and the future as a factor in their decisional process. Commonalities were present across therapies, which involved the timing of discussions, the delivery of information, and considerations of the future. Exploring this further could help support patient-centered care and optimize shared decision-making interventions.
Health care priority setting in Norway a multicriteria decision analysis
2012-01-01
Background Priority setting in population health is increasingly based on explicitly formulated values. The Patients Rights Act of the Norwegian tax-based health service guaranties all citizens health care in case of a severe illness, a proven health benefit, and proportionality between need and treatment. This study compares the values of the country's health policy makers with these three official principles. Methods In total 34 policy makers participated in a discrete choice experiment, weighting the relative value of six policy criteria. We used multi-variate logistic regression with selection as dependent valuable to derive odds ratios for each criterion. Next, we constructed a composite league table - based on the sum score for the probability of selection - to rank potential interventions in five major disease areas. Results The group considered cost effectiveness, large individual benefits and severity of disease as the most important criteria in decision making. Priority interventions are those related to cardiovascular diseases and respiratory diseases. Less attractive interventions rank those related to mental health. Conclusions Norwegian policy makers' values are in agreement with principles formulated in national health laws. Multi-criteria decision approaches may provide a tool to support explicit allocation decisions. PMID:22335815
Health care priority setting in Norway a multicriteria decision analysis.
Defechereux, Thierry; Paolucci, Francesco; Mirelman, Andrew; Youngkong, Sitaporn; Botten, Grete; Hagen, Terje P; Niessen, Louis W
2012-02-15
Priority setting in population health is increasingly based on explicitly formulated values. The Patients Rights Act of the Norwegian tax-based health service guaranties all citizens health care in case of a severe illness, a proven health benefit, and proportionality between need and treatment. This study compares the values of the country's health policy makers with these three official principles. In total 34 policy makers participated in a discrete choice experiment, weighting the relative value of six policy criteria. We used multi-variate logistic regression with selection as dependent valuable to derive odds ratios for each criterion. Next, we constructed a composite league table - based on the sum score for the probability of selection - to rank potential interventions in five major disease areas. The group considered cost effectiveness, large individual benefits and severity of disease as the most important criteria in decision making. Priority interventions are those related to cardiovascular diseases and respiratory diseases. Less attractive interventions rank those related to mental health. Norwegian policy makers' values are in agreement with principles formulated in national health laws. Multi-criteria decision approaches may provide a tool to support explicit allocation decisions.
Blalock, Susan J; Reyna, Valerie F
2016-08-01
Fuzzy-trace theory is a dual-process model of memory, reasoning, judgment, and decision making that contrasts with traditional expectancy-value approaches. We review the literature applying fuzzy-trace theory to health with 3 aims: evaluating whether the theory's basic distinctions have been validated empirically in the domain of health; determining whether these distinctions are useful in assessing, explaining, and predicting health-related psychological processes; and determining whether the theory can be used to improve health judgments, decisions, or behaviors, especially compared to other approaches. We conducted a literature review using PubMed, PsycINFO, and Web of Science to identify empirical peer-reviewed papers that applied fuzzy-trace theory, or central constructs of the theory, to investigate health judgments, decisions, or behaviors. Seventy nine studies (updated total is 94 studies; see Supplemental materials) were identified, over half published since 2012, spanning a wide variety of conditions and populations. Study findings supported the prediction that verbatim and gist representations are distinct constructs that can be retrieved independently using different cues. Although gist-based reasoning was usually associated with improved judgment and decision making, 4 sources of bias that can impair gist reasoning were identified. Finally, promising findings were reported from intervention studies that used fuzzy-trace theory to improve decision making and decrease unhealthy risk taking. Despite large gaps in the literature, most studies supported all 3 aims. By focusing on basic psychological processes that underlie judgment and decision making, fuzzy-trace theory provides insights into how individuals make decisions involving health risks and suggests innovative intervention approaches to improve health outcomes. (PsycINFO Database Record (c) 2016 APA, all rights reserved).
Dalaba, Maxwell Ayindenaba; Akweongo, Patricia; Williams, John; Saronga, Happiness Pius; Tonchev, Pencho; Sauerborn, Rainer; Mensah, Nathan; Blank, Antje; Kaltschmidt, Jens; Loukanova, Svetla
2014-01-01
Objective This study analyzed cost of implementing computer-assisted Clinical Decision Support System (CDSS) in selected health care centres in Ghana. Methods A descriptive cross sectional study was conducted in the Kassena-Nankana district (KND). CDSS was deployed in selected health centres in KND as an intervention to manage patients attending antenatal clinics and the labour ward. The CDSS users were mainly nurses who were trained. Activities and associated costs involved in the implementation of CDSS (pre-intervention and intervention) were collected for the period between 2009–2013 from the provider perspective. The ingredients approach was used for the cost analysis. Costs were grouped into personnel, trainings, overheads (recurrent costs) and equipment costs (capital cost). We calculated cost without annualizing capital cost to represent financial cost and cost with annualizing capital costs to represent economic cost. Results Twenty-two trained CDSS users (at least 2 users per health centre) participated in the study. Between April 2012 and March 2013, users managed 5,595 antenatal clients and 872 labour clients using the CDSS. We observed a decrease in the proportion of complications during delivery (pre-intervention 10.74% versus post-intervention 9.64%) and a reduction in the number of maternal deaths (pre-intervention 4 deaths versus post-intervention 1 death). The overall financial cost of CDSS implementation was US$23,316, approximately US$1,060 per CDSS user trained. Of the total cost of implementation, 48% (US$11,272) was pre-intervention cost and intervention cost was 52% (US$12,044). Equipment costs accounted for the largest proportion of financial cost: 34% (US$7,917). When economic cost was considered, total cost of implementation was US$17,128–lower than the financial cost by 26.5%. Conclusions The study provides useful information in the implementation of CDSS at health facilities to enhance health workers' adherence to practice guidelines and taking accurate decisions to improve maternal health care. PMID:25180831
Family support in cancer survivorship.
Muhamad, Mazanah; Afshari, Mojgan; Kazilan, Fitrisehara
2011-01-01
This paper raises issues about the role of family members in providing support for breast cancer survivors. Data were collected from 400 breast cancer survivors in Peninsular Malaysia through a custom-designed questionnaire fielded at hospitals and support group meetings. The data were analyzed using descriptive statistics. The analyses show that all family members could be supportive, especially in decision making and help with emotional issues. The spouse was the main support provider among the family members (others were children, parents, siblings and more distant relatives). The results also indicated that a significant percentage practiced collaborative decision-making. Breast cancer survivors needed their family members' support for information on survivorship strategies such as managing emotions, health, life style and dietary practice. The family members' supportive role may be linked to the Malaysian strong family relationship culture. For family members to contribute more adequately to cancer survivorship, it is suggested that appropriate educational intervention also be provided to them.
How to Measure Costs and Benefits of eHealth Interventions: An Overview of Methods and Frameworks.
Bergmo, Trine Strand
2015-11-09
Information on the costs and benefits of eHealth interventions is needed, not only to document value for money and to support decision making in the field, but also to form the basis for developing business models and to facilitate payment systems to support large-scale services. In the absence of solid evidence of its effects, key decision makers may doubt the effectiveness, which, in turn, limits investment in, and the long-term integration of, eHealth services. However, it is not realistic to conduct economic evaluations of all eHealth applications and services in all situations, so we need to be able to generalize from those we do conduct. This implies that we have to select the most appropriate methodology and data collection strategy in order to increase the transferability across evaluations. This paper aims to contribute to the understanding of how to apply economic evaluation methodology in the eHealth field. It provides a brief overview of basic health economics principles and frameworks and discusses some methodological issues and challenges in conducting cost-effectiveness analysis of eHealth interventions. Issues regarding the identification, measurement, and valuation of costs and benefits are outlined. Furthermore, this work describes the established techniques of combining costs and benefits, presents the decision rules for identifying the preferred option, and outlines approaches to data collection strategies. Issues related to transferability and complexity are also discussed.
Strategic and integrated planning for healthy, connected cities: Chattanooga case study.
Elwell Bostrom, Holly; Shulaker, Bianca; Rippon, Jasmin; Wood, Rick
2017-02-01
The United States is facing unprecedented health challenges - such as obesity and cardiovascular disease - many of which are related to a lack of or insufficient physical activity. Maintaining or creating parks and other public recreation facilities that promote physical activity is particularly important for combating these. This brief describes a strategic planning initiative, known as "Healthy, Connected Chattanooga." The City of Chattanooga, Tennessee, partnered with The Trust for Public Land, a national nonprofit organization, to analyze the city for physical activity opportunities and identify areas where interventions were of highest need. Interventions include the creation of new parks and the activation of existing ones through the installation of fitness facilities known as Fitness Zones®. Maps and an on-line decision-support tool (web portal) were developed between 2013 and 2015, and are being used by the city to make strategic investment decisions. The decision-support analysis described in this brief has engaged a wide variety of stakeholders, opened the door to a broader base of funding sources for health-related interventions, and provided evidence for discussions about equity, access to resources, and prioritization of future projects. This brief presents a framework for integrating scientific models with community and social metrics, enabling more complete and accurate understanding of cities and the identification of more equitable, strategic, and investable solutions to current and pressing challenges. Copyright © 2016 Elsevier Inc. All rights reserved.
Treatment of Carotid Artery Disease: Endarterectomy or Angioplasty?
Marchidann, Adrian; Marshall, Randolph S.
2011-01-01
The management of carotid stenosis has enjoyed renewed interest in the neurological community in recent years due to the advent of endovascular approaches. In concert, progress in medical treatment of these patients has rekindled the debate regarding the best management of carotid stenosis overall, both for symptomatic and asymptomatic disease. For symptomatic carotid stenosis, the major decision required is choosing the type of intervention best suited for individual patients — carotid endarterectomy (CEA) versus carotid artery stenting (CAS). For patients with asymptomatic carotid stenosis, intensive medical management has evolved significantly over the past decade to decrease the risk of ischemic stroke to match surgical intervention under most circumstances. This review will examine the supporting evidence for each intervention, and discuss the recent advances in medical and endovascular therapy that provide the data for a new era in clinical decision making. PMID:20960240
Meigs, James B; Cagliero, Enrico; Dubey, Anil; Murphy-Sheehy, Patricia; Gildesgame, Catharyn; Chueh, Henry; Barry, Michael J; Singer, Daniel E; Nathan, David M
2003-03-01
To test effects of a web-based decision support tool, the diabetes Disease Management Application (DMA), developed to improve evidence-based management of type 2 diabetes. We conducted a group randomized controlled trial of 12 intervention and 14 control staff providers and 307 intervention and 291 control patients with type 2 diabetes in a hospital-based internal medicine clinic. Providers were randomly assigned from May 1998 through April 1999 to have access to the DMA (intervention) or not to have access (control). The DMA displays interactive patient-specific clinical data, treatment advice, and links to other web-based care resources. We compared patients in the intervention and control groups for changes in processes and outcomes of care from the year preceding the study through the year of the study by intention-to-treat analysis. The DMA was used for 42% of scheduled patient visits. The number of HbA(1c) tests obtained per year increased significantly in the intervention group (+0.3 tests/year) compared with the control group (-0.04 tests/year, P = 0.008), as did the number of LDL cholesterol tests (intervention, +0.2 tests/year; control, +0.01 tests/year; P = 0.02) and the proportions of patients undergoing at least one foot examination per year (intervention, +9.8%; control, -0.7%; P = 0.003). Levels of HbA(1c) decreased by 0.2 in the intervention group and increased by 0.1 in the control group (P = 0.09); proportions of patients with LDL cholesterol levels <130 mg/dl increased by 20.3% in the intervention group and 10.5% in the control group (P = 0.5). Web-based patient-specific decision support has the potential to improve evidence-based parameters of diabetes care.
Dregan, Alex; van Staa, Tjeerd P; McDermott, Lisa; McCann, Gerard; Ashworth, Mark; Charlton, Judith; Wolfe, Charles D A; Rudd, Anthony; Yardley, Lucy; Gulliford, Martin C; Trial Steering Committee
2014-07-01
The aim of this study was to evaluate whether the remote introduction of electronic decision support tools into family practices improves risk factor control after first stroke. This study also aimed to develop methods to implement cluster randomized trials in stroke using electronic health records. Family practices were recruited from the UK Clinical Practice Research Datalink and allocated to intervention and control trial arms by minimization. Remotely installed, electronic decision support tools promoted intensified secondary prevention for 12 months with last measure of systolic blood pressure as the primary outcome. Outcome data from electronic health records were analyzed using marginal models. There were 106 Clinical Practice Research Datalink family practices allocated (intervention, 53; control, 53), with 11 391 (control, 5516; intervention, 5875) participants with acute stroke ever diagnosed. Participants at trial practices had similar characteristics as 47,887 patients with stroke at nontrial practices. During the intervention period, blood pressure values were recorded in the electronic health records for 90% and cholesterol values for 84% of participants. After intervention, the latest mean systolic blood pressure was 131.7 (SD, 16.8) mm Hg in the control trial arm and 131.4 (16.7) mm Hg in the intervention trial arm, and adjusted mean difference was -0.56 mm Hg (95% confidence interval, -1.38 to 0.26; P=0.183). The financial cost of the trial was approximately US $22 per participant, or US $2400 per family practice allocated. Large pragmatic intervention studies may be implemented at low cost by using electronic health records. The intervention used in this trial was not found to be effective, and further research is needed to develop more effective intervention strategies. http://www.controlled-trials.com. Current Controlled Trials identifier: ISRCTN35701810. © 2014 American Heart Association, Inc.
Hamilton, Jada G; Lillie, Sarah E; Alden, Dana L; Scherer, Laura; Oser, Megan; Rini, Christine; Tanaka, Miho; Baleix, John; Brewster, Mikki; Craddock Lee, Simon; Goldstein, Mary K; Jacobson, Robert M; Myers, Ronald E; Zikmund-Fisher, Brian J; Waters, Erika A
2017-02-01
Informed and shared decision making are critical aspects of patient-centered care, which has contributed to an emphasis on decision support interventions to promote good medical decision making. However, researchers and healthcare providers have not reached a consensus on what defines a good decision, nor how to evaluate it. This position paper, informed by conference sessions featuring diverse stakeholders held at the 2015 Society of Behavioral Medicine and Society for Medical Decision Making annual meetings, describes key concepts that influence the decision making process itself and that may change what it means to make a good decision: interpersonal factors, structural constraints, affective influences, and values clarification methods. This paper also proposes specific research questions within each of these priority areas, with the goal of moving medical decision making research to a more comprehensive definition of a good medical decision, and enhancing the ability to measure and improve the decision making process.
Huis In Het Veld, Judith G; Verkaik, Renate; Mistiaen, Patriek; van Meijel, Berno; Francke, Anneke L
2015-11-11
Informal caregivers of people with dementia are challenged in managing the consequences of dementia in daily life. The objective of this meta-review was to synthesize evidence from previous systematic reviews about professional self-management support interventions for this group. In March 2014, searches were conducted in PubMed, CINAHL, Cochrane Library, Embase and PsycINFO. The PRISMA Statement was followed. Interventions were grouped using Martin's targets of self-management, covering 5 targets: relationship with family, maintaining an active lifestyle, psychological wellbeing, techniques to cope with memory changes and information about dementia. Using an evidence synthesis, the outcomes from the included interventions were synthesized and conclusions were drawn about the level of evidence for the effectiveness of interventions within each target. Ten high-quality systematic reviews were selected. Evidence exists for the effectiveness of professional self-management support interventions targeting psychological wellbeing on stress and social outcomes of informal caregivers. In addition, evidence exists for the effectiveness of interventions targeting information on ability/knowledge. Limited evidence was found for the effectiveness of interventions targeting techniques to cope with memory change on coping skills and mood, and for interventions targeting information on the outcomes sense of competence and decision-making confidence of informal caregivers. Scientific evidence exists for the effectiveness of a number of professional self-management support interventions targeting psychological wellbeing and information. Health care professionals could take account of the fact that psycho-education was integrated in most of the self-management support interventions that were found to be effective in this meta-review. Furthermore, longer and more intensive interventions were associated with greater effects.
[Parameter of evidence-based medicine in health care economics].
Wasem, J; Siebert, U
1999-08-01
In the view of scarcity of resources, economic evaluations in health care, in which not only effects but also costs related to a medical intervention are examined and a incremental cost-outcome-ratio is build, are an important supplement to the program of evidence based medicine. Outcomes of a medical intervention can be measured by clinical effectiveness, quality-adjusted life years, and monetary evaluation of benefits. As far as costs are concerned, direct medical costs, direct non-medical costs and indirect costs have to be considered in an economic evaluation. Data can be used from primary studies or secondary analysis; metaanalysis for synthesizing of data may be adequate. For calculation of incremental cost-benefit-ratios, models of decision analysis (decision tree models, Markov-models) often are necessary. Methodological and ethical limits for application of the results of economic evaluation in resource allocation decision in health care have to be regarded: Economic evaluations and the calculation of cost-outcome-rations should only support decision making but cannot replace it.
ERIC Educational Resources Information Center
Mabry, Ann; Kaufman, Martin J.
Presented is Stage I of the Comprehensive Approach to Pupil Planning (CAPP) System, a three-stage model for planning educational interventions in the regular and special education classrooms and for guiding placement decisions. The guide consists of the following: an overview of the CAPP System; an introduction to Stage I on classroom support…
Melnick, Edward R; Genes, Nicholas G; Chawla, Neal K; Akerman, Meredith; Baumlin, Kevin M; Jagoda, Andy
2010-06-01
To influence physician practice behavior after implementation of a computerized clinical decision support system (CDSS) based upon the recommendations from the 2007 ACEP Clinical Policy on Syncope. This was a pre-post intervention with a prospective cohort and retrospective controls. We conducted a medical chart review of consecutive adult patients with syncope. A computerized CDSS prompting physicians to explain their decision-making regarding imaging and admission in syncope patients based upon ACEP Clinical Policy recommendations was embedded into the emergency department information system (EDIS). The medical records of 410 consecutive adult patients presenting with syncope were reviewed prior to implementation, and 301 records were reviewed after implementation. Primary outcomes were physician practice behavior demonstrated by admission rate and rate of head computed tomography (CT) imaging before and after implementation. There was a significant difference in admission rate pre- and post-intervention (68.1% vs. 60.5% respectively, p = 0.036). There was no significant difference in the head CT imaging rate pre- and post-intervention (39.8% vs. 43.2%, p = 0.358). There were seven physicians who saw ten or more patients during the pre- and post-intervention. Subset analysis of these seven physicians' practice behavior revealed a slight significant difference in the admission rate pre- and post-intervention (74.3% vs. 63.9%, p = 0.0495) and no significant difference in the head CT scan rate pre- and post-intervention (42.9% vs. 45.4%, p = 0.660). The introduction of an evidence-based CDSS based upon ACEP Clinical Policy recommendations on syncope correlated with a change in physician practice behavior in an urban academic emergency department. This change suggests emergency medicine clinical practice guideline recommendations can be incorporated into the physician workflow of an EDIS to enhance the quality of practice.
Desai, Shashwat; Liu, Chaocheng; Kirkland, Scott W; Krebs, Lynette D; Keto-Lambert, Diana; Rowe, Brian H
2018-06-01
Appropriate use of imaging for adult patients with cervical spine (C-spine) injuries in the emergency department (ED) is a longstanding issue. Guidance for C-spine ordering exists; however, the effectiveness of the decision support implementation in the ED is not well studied. This systematic review examines the implementation and effectiveness of evidence-based interventions aimed at reducing C-spine imaging in adults presenting to the ED with neck trauma. Six electronic databases and the gray literature were searched. Comparative intervention studies were eligible for inclusion. Two independent reviewers screened for study eligibility, study quality, and extracted data. The change in imaging was reported using individual odds ratios (ORs) with 95% confidence intervals (CIs) using random effects. A total of 990 unique citations were screened for relevance of which six before-after studies and one randomized controlled trial were included. None of the studies were assessed as high quality. Interventions consisted primarily of locally developed guidelines or established clinical decision rules such as the NEXUS or the Canadian C-spine rule. Overall, implementation of interventions aimed at reducing C-spine image ordering resulted in a statistically significant reduction in imaging (OR = 0.69, 95% CI = 0.51-0.93); however, heterogeneity was high (I 2 = 82%). Subgroup analysis revealed no differences between studies that specified enrolling alert and stable patients compared to unspecified trauma (p = 0.81) or between studies employing multifaceted versus nonmultifaceted interventions (p = 0.66). While studies generally provided details on implementation strategies (e.g., teaching sessions, pocket cards, posters, computerized decision support) the effectiveness of these implementation strategies were frequently not reported. There is moderate evidence regarding the effectiveness of interventions to reduce C-spine image ordering in adult patients seen in the ED with neck trauma. Given the national and international focus on improving appropriateness and reducing unnecessary C-spine imaging through campaigns such as Choosing Wisely, additional interventional research in this field is warranted. © 2017 by the Society for Academic Emergency Medicine.
Katapodi, Maria C; Jung, Miyeon; Schafenacker, Ann M; Milliron, Kara J; Mendelsohn-Victor, Kari E; Merajver, Sofia D; Northouse, Laurel L
2018-04-13
Carriers of breast cancer gene (BRCA) mutations are asked to communicate genetic test results to their biological relatives to increase awareness of cancer risk and promote use of genetic services. This process is highly variable from family to family. Interventions that support communication of genetic test results, coping, and offer decision support in families harboring a pathogenic variant may contribute to effective management of hereditary cancer. The aim of this paper was to describe the development of the Family Gene Toolkit, a Web-based intervention targeting BRCA carriers and untested blood relatives, designed to enhance coping, family communication, and decision making. We present findings from focus groups regarding intervention acceptability and participant satisfaction and from a pre-post pilot study with random allocation to a wait-listed control group regarding intervention feasibility and usability. The Family Gene Toolkit was developed by a multidisciplinary team as a psycho-educational and skills-building intervention. It includes two live webinar sessions and a follow-up phone call guided by a certified genetic counselor and a master's prepared oncology nurse. Each live webinar includes two modules (total four modules) presenting information about BRCA mutations, a decision aid for genetic testing, and two skill-building modules for effective coping and family communication. Participants in focus groups (n=11) were highly satisfied with the intervention, reporting it to be useful and describing clearly the important issues. From the 12 dyads recruited in the pre-post pilot study (response rate 12/52, 23%), completion rate was 71% (10/14) for intervention and 40% (4/10) for wait-listed control groups. Acceptability and satisfaction with the Family Gene Toolkit is high. On the basis of the findings from usability and feasibility testing, modifications on timing, delivery mode, and recruitment methods have been implemented. ClinicalTrials.gov NCT02154633; https://clinicaltrials.gov/ct2/show/NCT02154633 (Archived by WebCite at http://www.webcitation.org/6yYNvLPjv). ©Maria C Katapodi, Miyeon Jung, Ann M Schafenacker, Kara J Milliron, Kari E Mendelsohn-Victor, Sofia D Merajver, Laurel L Northouse. Originally published in JMIR Cancer (http://cancer.jmir.org), 13.04.2018.
Balneaves, Lynda G; Truant, Tracy L O; Kelly, Mary; Verhoef, Marja J; Davison, B Joyce
2007-08-01
The purpose of this study was to explore the personal and social processes women with breast cancer engaged in when making decisions about complementary and alternative medicine (CAM). The overall aim was to develop a conceptual model of the treatment decision-making process specific to breast cancer care and CAM that will inform future information and decision support strategies. Grounded theory methodology explored the decisions of women with breast cancer using CAM. Semistructured interviews were conducted with 20 women diagnosed with early-stage breast cancer. Following open, axial, and selective coding, the constant comparative method was used to identify key themes in the data and develop a conceptual model of the CAM decision-making process. The final decision-making model, Bridging the Gap, was comprised of four core concepts including maximizing choices/minimizing risks, experiencing conflict, gathering and filtering information, and bridging the gap. Women with breast cancer used one of three decision-making styles to address the paradigmatic, informational, and role conflict they experienced as a result of the gap they perceived between conventional care and CAM: (1) taking it one step at a time, (2) playing it safe, and (3) bringing it all together. Women with breast cancer face conflict and anxiety when making decisions about CAM within a conventional cancer care context. Information and decision support strategies are needed to ensure women are making safe, informed treatment decisions about CAM. The model, Bridging the Gap, provides a conceptual framework for future decision support interventions.
Schulman-Marcus, Joshua; Weintraub, William S; Boden, William E
2017-10-15
Major randomized clinical trials over the last decade support the role of optimal medical therapy for the initial management approach for patients with stable coronary artery disease (CAD), whereas percutaneous coronary intervention (PCI) ought to be reserved for patients with persistent symptoms despite optimal medical therapy. Likewise, several studies have continued to demonstrate the superiority of coronary artery bypass grafting surgery over PCI in many patients with extensive multivessel CAD, especially those with diabetes. Nevertheless, the decision-making paradigm for patients with stable CAD often continues to propagate the upfront use of "ad hoc PCI" and disadvantages alternative therapeutic approaches. In our editorial, we discuss how multiple systemic and interpersonal factors continue to favor early revascularization with PCI in stable patients. We discuss whether the interventional cardiologist can be an unbiased "gatekeeper" for the use of PCI or whether other physicians should also be involved with the patient in decision-making. Finally, we offer suggestions that can redefine the gatekeeper role to facilitate an evidence-based approach that embraces shared decision-making. Copyright © 2017 Elsevier Inc. All rights reserved.
Developing a Policy Flight Simulator to Facilitate the Adoption of an Evidence-Based Intervention
Yu, Zhongyuan; Hirschman, Karen B.; Pepe, Kara; Pauly, Mark V.; Naylor, Mary D.; Rouse, William B.
2018-01-01
While the use of evidence-based interventions (EBIs) has been advocated by the medical research community for quite some time, uptake of these interventions by healthcare providers has been slow. One possible explanation is that it is challenging for providers to estimate impacts of a specific EBI on their particular organization. To address that concern, we developed and evaluated a type of simulation called a policy flight simulator to determine if it could improve the adoption decision about a specific EBI, the transitional care model (TCM). The TCM uses an advanced practice nurse-led model of care to transition older adults with multiple chronic conditions from a hospitalization to home. An evaluation by a National Advisory Committee, made up of senior representatives from various stakeholders in the U.S. healthcare system, found the policy flight simulator to be a useful tool that has the potential to better inform adoption decisions. This paper describes the simulation development effort and documents lessons learned that may be useful to the healthcare modeling community and those interested in using simulation to support decisions based on EBIs. PMID:29805921
Hofman, D; Monte, L; Boyer, P; Brittain, J; Donchyts, G; Gallego, E; Gheorghiu, D; Håkanson, L; Heling, R; Kerekes, A; Kocsy, G; Lepicard, S; Slavik, O; Slavnicu, D; Smith, J; Zheleznyak, M
2011-02-01
Assessment of the environmental and radiological consequences of a nuclear accident requires the management of a great deal of data and information as well as the use of predictive models. Computerised Decision Support Systems (CDSS) are essential tools for this kind of complex assessment and for assisting experts with a rational decision process. The present work focuses on the assessment of the main features of selected state-of-the-art CDSS for off-site management of freshwater ecosystems contaminated by radionuclides. This study involved both developers and end-users of the assessed CDSS and was based on practical customisation exercises, installation and application of the decision systems. Potential end-users can benefit from the availability of several ready-to-use CDSS that allow one to run different kinds of models aimed at predicting the behaviour of radionuclides in aquatic ecosystems, evaluating doses to humans, assessing the effectiveness of different kinds of environmental management interventions and ranking these interventions, accounting for their social, economic and environmental impacts. As a result of the present assessment, the importance of CDSS "integration" became apparent: in many circumstances, different CDSS can be used as complementary tools for the decision-making process. The results of this assessment can also be useful for the future development and improvement of the CDSS. Copyright © 2010 Elsevier Ltd. All rights reserved.
A Competing Neurobehavioral Decision Systems Model of SES-Related Health and Behavioral Disparities
Bickel, W. K.; Moody, L.; Quisenberry, A. J.; Ramey, C. T.; Sheffer, C. E.
2014-01-01
We propose that executive dysfunction is an important component relating the socioeconomic status gradient of select health behaviors. We review and find evidence supporting an SES gradient associated with (1) negative health behaviors (e.g., obesity, excessive use of alcohol, tobacco and other substances), and (2) executive dysfunction. Moreover, the evidence supports that stress and insufficient cognitive resources contribute to executive dysfunction and that executive dysfunction is evident among individuals who smoke cigarettes, are obese, abuse alcohol, and use illicit drugs. Collectively these data supports the dual system model of cognitive control, referred to here as the Competing Neurobehavioral Decision Systems hypothesis. The implications of these relationships for intervention and social justice considerations are discussed. PMID:25008219
O'Connor, Amanda; Blewitt, Claire; Nolan, Andrea; Skouteris, Helen
2018-06-01
Supporting children's social and emotional learning benefits all elements of children's development and has been associated with positive mental health and wellbeing, development of values and life skills. However, literature relating to the creation of interventions designed for use within the early childhood education and care settings to support children's social and emotional skills and learning is lacking. Intervention Mapping (IM) is a systematic intervention development framework, utilising principles centred on participatory co-design methods, multiple theoretical approaches and existing literature to enable effective decision-making during the development process. Early childhood pedagogical programs are also shaped by these principles; however, educators tend to draw on implicit knowledge when working with families. IM offers this sector the opportunity to formally incorporate theoretical, evidence-based research into the development of early childhood education and care social and emotional interventions. Emerging literature indicates IM is useful for designing health and wellbeing interventions for children within early childhood education and care settings. Considering the similar underlying principles of IM, existing applications within early childhood education and care and development of interventions beyond health behaviour change, it is recommended IM be utilised to design early childhood education and care interventions focusing on supporting children's social and emotional development. Copyright © 2018 Elsevier Ltd. All rights reserved.
Carriger, John F; Dyson, Brian E; Benson, William H
2018-01-15
This article develops and explores a methodology for using qualitative influence diagrams in environmental policy and management to support decision making efforts that minimize risk and increase resiliency. Influence diagrams are representations of the conditional aspects of a problem domain. Their graphical properties are useful for structuring causal knowledge relevant to policy interventions and can be used to enhance inference and inclusivity of multiple viewpoints. Qualitative components of influence diagrams are beneficial tools for identifying and examining the interactions among the critical variables in complex policy development and implementation. Policy interventions on social-environmental systems can be intuitively diagrammed for representing knowledge of critical relationships among economic, environmental, and social attributes. Examples relevant to coastal resiliency issues in the U.S. Gulf Coast region are developed to illustrate model structures for developing qualitative influence diagrams useful for clarifying important policy intervention issues and enhancing transparency in decision making. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.
Kilanowski, Jill F
2016-01-01
Latino children demonstrate high rates of unhealthy weight, and children of Latino migrant and seasonal agricultural workers are heavier than their Latino peers. This one-group, cross-sectional, mixed-methods pilot study explored healthy-eating decision making with 12- to 14-year-olds recruited from a Midwest summer migrant education program. Demographics, decision-making, self-efficacy, and social support survey instruments were used, along with gender-specific focus groups. In the convenience sample, which included 24 participants, students felt varying degrees of uncertainty when choosing healthy foods in social situations, and 67% made poor-quality decisions. Parents offered greater support for healthy eating compared with friends. Qualitative analyses identified three themes: healthy decision making includes fruits, vegetables, and physical activity; mothers have influence over health and healthy decisions; and friends encourage unhealthy food choices. Influences on healthy-eating decision making in Latino adolescent children of migrant and seasonal agricultural workers, which were previously missing from the literature, were identified. Future research includes development of interventions to assist these adolescents with healthy-eating decision making. Copyright © 2016 National Association of Pediatric Nurse Practitioners. Published by Elsevier Inc. All rights reserved.
2013-01-01
Background Decisions regarding health systems are sometimes made without the input of timely and reliable evidence, leading to less than optimal health outcomes. Healthcare organizations can implement tools and infrastructures to support the use of research evidence to inform decision-making. Objectives The purpose of this study was to profile the supports and instruments (i.e., programs, interventions, instruments or tools) that healthcare organizations currently have in place and which ones were perceived to facilitate evidence-informed decision-making. Methods In-depth semi-structured telephone interviews were conducted with individuals in three different types of positions (i.e., a senior management team member, a library manager, and a ‘knowledge broker’) in three types of healthcare organizations (i.e., regional health authorities, hospitals and primary care practices) in two Canadian provinces (i.e., Ontario and Quebec). The interviews were taped, transcribed, and then analyzed thematically using NVivo 9 qualitative data analysis software. Results A total of 57 interviews were conducted in 25 organizations in Ontario and Quebec. The main findings suggest that, for the healthcare organizations that participated in this study, the following supports facilitate evidence-informed decision-making: facilitating roles that actively promote research use within the organization; establishing ties to researchers and opinion leaders outside the organization; a technical infrastructure that provides access to research evidence, such as databases; and provision and participation in training programs to enhance staff’s capacity building. Conclusions This study identified the need for having a receptive climate, which laid the foundation for the implementation of other tangible initiatives and supported the use of research in decision-making. This study adds to the literature on organizational efforts that can increase the use of research evidence in decision-making. Some of the identified supports may increase the use of research evidence by decision-makers, which may then lead to more informed decisions, and hopefully to a strengthened health system and improved health. PMID:23915278
Ellen, Moriah E; Léon, Gregory; Bouchard, Gisèle; Lavis, John N; Ouimet, Mathieu; Grimshaw, Jeremy M
2013-08-06
Decisions regarding health systems are sometimes made without the input of timely and reliable evidence, leading to less than optimal health outcomes. Healthcare organizations can implement tools and infrastructures to support the use of research evidence to inform decision-making. The purpose of this study was to profile the supports and instruments (i.e., programs, interventions, instruments or tools) that healthcare organizations currently have in place and which ones were perceived to facilitate evidence-informed decision-making. In-depth semi-structured telephone interviews were conducted with individuals in three different types of positions (i.e., a senior management team member, a library manager, and a 'knowledge broker') in three types of healthcare organizations (i.e., regional health authorities, hospitals and primary care practices) in two Canadian provinces (i.e., Ontario and Quebec). The interviews were taped, transcribed, and then analyzed thematically using NVivo 9 qualitative data analysis software. A total of 57 interviews were conducted in 25 organizations in Ontario and Quebec. The main findings suggest that, for the healthcare organizations that participated in this study, the following supports facilitate evidence-informed decision-making: facilitating roles that actively promote research use within the organization; establishing ties to researchers and opinion leaders outside the organization; a technical infrastructure that provides access to research evidence, such as databases; and provision and participation in training programs to enhance staff's capacity building. This study identified the need for having a receptive climate, which laid the foundation for the implementation of other tangible initiatives and supported the use of research in decision-making. This study adds to the literature on organizational efforts that can increase the use of research evidence in decision-making. Some of the identified supports may increase the use of research evidence by decision-makers, which may then lead to more informed decisions, and hopefully to a strengthened health system and improved health.
Van de Velde, Stijn; Kunnamo, Ilkka; Roshanov, Pavel; Kortteisto, Tiina; Aertgeerts, Bert; Vandvik, Per Olav; Flottorp, Signe
2018-06-25
Computerised decision support (CDS) based on trustworthy clinical guidelines is a key component of a learning healthcare system. Research shows that the effectiveness of CDS is mixed. Multifaceted context, system, recommendation and implementation factors may potentially affect the success of CDS interventions. This paper describes the development of a checklist that is intended to support professionals to implement CDS successfully. We developed the checklist through an iterative process that involved a systematic review of evidence and frameworks, a synthesis of the success factors identified in the review, feedback from an international expert panel that evaluated the checklist in relation to a list of desirable framework attributes, consultations with patients and healthcare consumers and pilot testing of the checklist. We screened 5347 papers and selected 71 papers with relevant information on success factors for guideline-based CDS. From the selected papers, we developed a 16-factor checklist that is divided in four domains, i.e. the CDS context, content, system and implementation domains. The panel of experts evaluated the checklist positively as an instrument that could support people implementing guideline-based CDS across a wide range of settings globally. Patients and healthcare consumers identified guideline-based CDS as an important quality improvement intervention and perceived the GUIDES checklist as a suitable and useful strategy. The GUIDES checklist can support professionals in considering the factors that affect the success of CDS interventions. It may facilitate a deeper and more accurate understanding of the factors shaping CDS effectiveness. Relying on a structured approach may prevent that important factors are missed.
Using old technology to implement modern computer-aided decision support for primary diabetes care.
Hunt, D. L.; Haynes, R. B.; Morgan, D.
2001-01-01
BACKGROUND: Implementation rates of interventions known to be beneficial for people with diabetes mellitus are often suboptimal. Computer-aided decision support systems (CDSSs) can improve these rates. The complexity of establishing a fully integrated electronic medical record that provides decision support, however, often prevents their use. OBJECTIVE: To develop a CDSS for diabetes care that can be easily introduced into primary care settings and diabetes clinics. THE SYSTEM: The CDSS uses fax-machine-based optical character recognition software for acquiring patient information. Simple, 1-page paper forms, completed by patients or health practitioners, are faxed to a central location. The information is interpreted and recorded in a database. This initiates a routine that matches the information against a knowledge base so that patient-specific recommendations can be generated. These are formatted and faxed back within 4-5 minutes. IMPLEMENTATION: The system is being introduced into 2 diabetes clinics. We are collecting information on frequency of use of the system, as well as satisfaction with the information provided. CONCLUSION: Computer-aided decision support can be provided in any setting with a fax machine, without the need for integrated electronic medical records or computerized data-collection devices. PMID:11825194
Using old technology to implement modern computer-aided decision support for primary diabetes care.
Hunt, D L; Haynes, R B; Morgan, D
2001-01-01
Implementation rates of interventions known to be beneficial for people with diabetes mellitus are often suboptimal. Computer-aided decision support systems (CDSSs) can improve these rates. The complexity of establishing a fully integrated electronic medical record that provides decision support, however, often prevents their use. To develop a CDSS for diabetes care that can be easily introduced into primary care settings and diabetes clinics. THE SYSTEM: The CDSS uses fax-machine-based optical character recognition software for acquiring patient information. Simple, 1-page paper forms, completed by patients or health practitioners, are faxed to a central location. The information is interpreted and recorded in a database. This initiates a routine that matches the information against a knowledge base so that patient-specific recommendations can be generated. These are formatted and faxed back within 4-5 minutes. The system is being introduced into 2 diabetes clinics. We are collecting information on frequency of use of the system, as well as satisfaction with the information provided. Computer-aided decision support can be provided in any setting with a fax machine, without the need for integrated electronic medical records or computerized data-collection devices.
Dixon, Brian E; Gamache, Roland E; Grannis, Shaun J
2013-01-01
Objective To summarize the literature describing computer-based interventions aimed at improving bidirectional communication between clinical and public health. Materials and Methods A systematic review of English articles using MEDLINE and Google Scholar. Search terms included public health, epidemiology, electronic health records, decision support, expert systems, and decision-making. Only articles that described the communication of information regarding emerging health threats from public health agencies to clinicians or provider organizations were included. Each article was independently reviewed by two authors. Results Ten peer-reviewed articles highlight a nascent but promising area of research and practice related to alerting clinicians about emerging threats. Current literature suggests that additional research and development in bidirectional communication infrastructure should focus on defining a coherent architecture, improving interoperability, establishing clear governance, and creating usable systems that will effectively deliver targeted, specific information to clinicians in support of patient and population decision-making. Conclusions Increasingly available clinical information systems make it possible to deliver timely, relevant knowledge to frontline clinicians in support of population health. Future work should focus on developing a flexible, interoperable infrastructure for bidirectional communications capable of integrating public health knowledge into clinical systems and workflows. PMID:23467470
Seto, Arnold H; Shroff, Adhir; Abu-Fadel, Mazen; Blankenship, James C; Boudoulas, Konstantinos Dean; Cigarroa, Joaquin E; Dehmer, Gregory J; Feldman, Dmitriy N; Kolansky, Daniel M; Lata, Kusum; Swaminathan, Rajesh V; Rao, Sunil V
2018-04-24
Since the publication of the 2009 SCAI Expert Consensus Document on Length of Stay Following percutaneous coronary intervention (PCI), advances in vascular access techniques, stent technology, and antiplatelet pharmacology have facilitated changes in discharge patterns following PCI. Additional clinical studies have demonstrated the safety of early and same day discharge in selected patients with uncomplicated PCI, while reimbursement policies have discouraged unnecessary hospitalization. This consensus update: (1) clarifies clinical and reimbursement definitions of discharge strategies, (2) reviews the technological advances and literature supporting reduced hospitalization duration and risk assessment, and (3) describes changes to the consensus recommendations on length of stay following PCI (Supporting Information Table S1). These recommendations are intended to support reasonable clinical decision making regarding postprocedure length of stay for a broad spectrum of patients undergoing PCI, rather than prescribing a specific period of observation for individual patients. © 2018 Wiley Periodicals, Inc.
Volandes, Angelo E.; Paasche-Orlow, Michael K.; Mitchell, Susan L.; El-Jawahri, Areej; Davis, Aretha Delight; Barry, Michael J.; Hartshorn, Kevan L.; Jackson, Vicki Ann; Gillick, Muriel R.; Walker-Corkery, Elizabeth S.; Chang, Yuchiao; López, Lenny; Kemeny, Margaret; Bulone, Linda; Mann, Eileen; Misra, Sumi; Peachey, Matt; Abbo, Elmer D.; Eichler, April F.; Epstein, Andrew S.; Noy, Ariela; Levin, Tomer T.; Temel, Jennifer S.
2013-01-01
Purpose Decision making regarding cardiopulmonary resuscitation (CPR) is challenging. This study examined the effect of a video decision support tool on CPR preferences among patients with advanced cancer. Patients and Methods We performed a randomized controlled trial of 150 patients with advanced cancer from four oncology centers. Participants in the control arm (n = 80) listened to a verbal narrative describing CPR and the likelihood of successful resuscitation. Participants in the intervention arm (n = 70) listened to the identical narrative and viewed a 3-minute video depicting a patient on a ventilator and CPR being performed on a simulated patient. The primary outcome was participants' preference for or against CPR measured immediately after exposure to either modality. Secondary outcomes were participants' knowledge of CPR (score range of 0 to 4, with higher score indicating more knowledge) and comfort with video. Results The mean age of participants was 62 years (standard deviation, 11 years); 49% were women, 44% were African American or Latino, and 47% had lung or colon cancer. After the verbal narrative, in the control arm, 38 participants (48%) wanted CPR, 41 (51%) wanted no CPR, and one (1%) was uncertain. In contrast, in the intervention arm, 14 participants (20%) wanted CPR, 55 (79%) wanted no CPR, and 1 (1%) was uncertain (unadjusted odds ratio, 3.5; 95% CI, 1.7 to 7.2; P < .001). Mean knowledge scores were higher in the intervention arm than in the control arm (3.3 ± 1.0 v 2.6 ± 1.3, respectively; P < .001), and 65 participants (93%) in the intervention arm were comfortable watching the video. Conclusion Participants with advanced cancer who viewed a video of CPR were less likely to opt for CPR than those who listened to a verbal narrative. PMID:23233708
Masters, Stacey; Gordon, Jason; Whitehead, Craig; Davies, Owen; Giles, Lynne C; Ratcliffe, Julie
2012-01-01
Frail older people who are considering movement into residential aged care or returning home following a hospital admission often face complex and difficult decisions.Despite research interest in this area, a recent Cochrane review was unable to identify any studies of interventions to support decision-making in this group that met the experimental or quasi-experimental study design criteria. This study tests the impact of a multi-component coaching intervention on the quality of preparation for care transitions, targeted to older adults and informal carers. In addition, the study assesses the impact of investing specialist geriatric resources into consultations with families in an intermediate care setting where decisions about future care needs are being made. This study was a randomised controlled trial of 230 older adults admitted to intermediate care in Australia. Masked assessment at 3 and 12 months examined physical functioning, health-related quality of life and utilisation of health and aged care resources. A geriatrician and specialist nurse delivered a coaching intervention to both the older person and their carer/family. Components of the intervention included provision of a Question Prompt List prior to meeting with a geriatrician (to clarify medical conditions and treatments, medications, 'red flags', end of life decisions and options for future health care) and a follow-up meeting with a nurse who remained in telephone contact. Participants received a printed summary and an audio recording of the meeting with the geriatrician. The costs and outcomes of the intervention are compared with usual care. Australian New Zealand Clinical Trials Registry (ACTRN12607000638437).
2012-01-01
Background In spite of the potential impact upon population health and expenditure, interventions promoting medication adherence have been found to be of moderate effectiveness and cost effectiveness. Understanding the relative influence of factors affecting patient medication adherence decisions and the characteristics of individuals associated with variation in adherence will lead to a better understanding of how future interventions should be designed and targeted. This study aims to explore medication-taking decisions that may underpin intentional medication non-adherence behaviour amongst a community sample and the relative importance of medication specific factors and patient background characteristics contributing to those decisions. Methods A discrete choice experiment conducted through a web-enabled online survey was used to estimate the relative importance of eight medication factors (immediate and long-term medication harms and benefits, cost, regimen, symptom severity, alcohol restrictions) on the preference to continue taking a medication. To reflect more closely what usually occurs in practice, non-disease specific medication and health terms were used to mimic decisions across multiple medications and conditions.161 general community participants, matching the national Australian census data (age, gender) were recruited through an online panel provider (participation rate: 10%) in 2010. Results Six of the eight factors (i.e. immediate and long-term medication harms and benefits, cost, and regimen) had a significant influence on medication choice. Patient background characteristics did not improve the model. Respondents with private health insurance appeared less sensitive to cost then those without private health insurance. In general, health outcomes, framed as a side-effect, were found to have a greater influence over adherence than outcomes framed as therapeutic benefits. Conclusions Medication-taking decisions are the subject of rational choices, influenced by the attributes of treatments and potentially amenable to intervention through education, strategic pricing and the altering of dosing characteristics. Understanding individual treatment preferences is thus an important step to improving adherence support provision in practice. Re-framing future interventions and policies to support rational and informed individual patient choices, is the way forward to realising the full potential health and economic benefits from the efficacious use of medications. PMID:22715853
Laba, Tracey-Lea; Brien, Jo-Anne; Jan, Stephen
2012-06-20
In spite of the potential impact upon population health and expenditure, interventions promoting medication adherence have been found to be of moderate effectiveness and cost effectiveness. Understanding the relative influence of factors affecting patient medication adherence decisions and the characteristics of individuals associated with variation in adherence will lead to a better understanding of how future interventions should be designed and targeted. This study aims to explore medication-taking decisions that may underpin intentional medication non-adherence behaviour amongst a community sample and the relative importance of medication specific factors and patient background characteristics contributing to those decisions. A discrete choice experiment conducted through a web-enabled online survey was used to estimate the relative importance of eight medication factors (immediate and long-term medication harms and benefits, cost, regimen, symptom severity, alcohol restrictions) on the preference to continue taking a medication. To reflect more closely what usually occurs in practice, non-disease specific medication and health terms were used to mimic decisions across multiple medications and conditions.161 general community participants, matching the national Australian census data (age, gender) were recruited through an online panel provider (participation rate: 10%) in 2010. Six of the eight factors (i.e. immediate and long-term medication harms and benefits, cost, and regimen) had a significant influence on medication choice. Patient background characteristics did not improve the model. Respondents with private health insurance appeared less sensitive to cost then those without private health insurance. In general, health outcomes, framed as a side-effect, were found to have a greater influence over adherence than outcomes framed as therapeutic benefits. Medication-taking decisions are the subject of rational choices, influenced by the attributes of treatments and potentially amenable to intervention through education, strategic pricing and the altering of dosing characteristics. Understanding individual treatment preferences is thus an important step to improving adherence support provision in practice. Re-framing future interventions and policies to support rational and informed individual patient choices, is the way forward to realising the full potential health and economic benefits from the efficacious use of medications.
Qin, Ziling; Armijo-Olivo, Susan; Woodhouse, Linda J; Gross, Douglas P
2016-03-01
To evaluate the concurrent validity of a clinical decision support tool (Work Assessment Triage Tool (WATT)) developed to select rehabilitation treatments for injured workers with musculoskeletal conditions. Methodological study with cross-sectional and prospective components. Data were obtained from the Workers' Compensation Board of Alberta rehabilitation facility in Edmonton, Canada. A total of 432 workers' compensation claimants evaluated between November 2011 and June 2012. Percentage agreement between the Work Assessment Triage Tool and clinician recommendations was used to determine concurrent validity. In claimants returning to work, frequencies of matching were calculated and compared between clinician and Work Assessment Triage Tool recommendations and the actual programs undertaken by claimants. The frequency of each intervention recommended by clinicians, Work Assessment Triage Tool, and case managers were also calculated and compared. Percentage agreement between clinician and Work Assessment Triage Tool recommendations was poor (19%) to moderate (46%) and Kappa = 0.37 (95% CI -0.02, 0.76). The Work Assessment Triage Tool did not improve upon clinician recommendations as only 14 out of 31 claimants returning to work had programs that contradicted clinician recommendations, but were consistent with Work Assessment Triage Tool recommendations. Clinicians and case managers were inclined to recommend functional restoration, physical therapy, or no rehabilitation while the Work Assessment Triage Tool recommended additional evidence-based interventions, such as workplace-based interventions. Our findings do not provide evidence of concurrent validity for the Work Assessment Triage Tool compared with clinician recommendations. Based on these results, we cannot recommend further implementation of the Work Assessment Triage Tool. However, the Work Assessment Triage Tool appeared more likely than clinicians to recommend interventions supported by evidence; thus warranting further research. © The Author(s) 2015.
Kastner, Monika; Straus, Sharon E
2008-12-01
Studies indicate a gap between evidence and clinical practice in osteoporosis management. Tools that facilitate clinical decision making at the point of care are promising strategies for closing these practice gaps. To systematically review the literature to identify and describe the effectiveness of tools that support clinical decision making in osteoporosis disease management. Medline, EMBASE, CINAHL, and EBM Reviews (CDSR, DARE, CCTR, and ACP J Club), and contact with experts in the field. Randomized controlled trials (RCTs) in any language from 1966 to July 2006 investigating disease management interventions in patients at risk for osteoporosis. Outcomes included fractures and bone mineral density (BMD) testing. Two investigators independently assessed articles for relevance and study quality, and extracted data using standardized forms. Of 1,246 citations that were screened for relevance, 13 RCTs met the inclusion criteria. Reported study quality was generally poor. Meta-analysis was not done because of methodological and clinical heterogeneity; 77% of studies included a reminder or education as a component of their intervention. Three studies of reminders plus education targeted to physicians and patients showed increased BMD testing (RR range 1.43 to 8.67) and osteoporosis medication use (RR range 1.60 to 8.67). A physician reminder plus a patient risk assessment strategy found reduced fractures [RR 0.58, 95% confidence interval (CI) 0.37 to 0.90] and increased osteoporosis therapy (RR 2.44, CI 1.43 to 4.17). Multi-component tools that are targeted to physicians and patients may be effective for supporting clinical decision making in osteoporosis disease management.
Gross, Douglas P; Zhang, Jing; Steenstra, Ivan; Barnsley, Susan; Haws, Calvin; Amell, Tyler; McIntosh, Greg; Cooper, Juliette; Zaiane, Osmar
2013-12-01
To develop a classification algorithm and accompanying computer-based clinical decision support tool to help categorize injured workers toward optimal rehabilitation interventions based on unique worker characteristics. Population-based historical cohort design. Data were extracted from a Canadian provincial workers' compensation database on all claimants undergoing work assessment between December 2009 and January 2011. Data were available on: (1) numerous personal, clinical, occupational, and social variables; (2) type of rehabilitation undertaken; and (3) outcomes following rehabilitation (receiving time loss benefits or undergoing repeat programs). Machine learning, concerned with the design of algorithms to discriminate between classes based on empirical data, was the foundation of our approach to build a classification system with multiple independent and dependent variables. The population included 8,611 unique claimants. Subjects were predominantly employed (85 %) males (64 %) with diagnoses of sprain/strain (44 %). Baseline clinician classification accuracy was high (ROC = 0.86) for selecting programs that lead to successful return-to-work. Classification performance for machine learning techniques outperformed the clinician baseline classification (ROC = 0.94). The final classifiers were multifactorial and included the variables: injury duration, occupation, job attachment status, work status, modified work availability, pain intensity rating, self-rated occupational disability, and 9 items from the SF-36 Health Survey. The use of machine learning classification techniques appears to have resulted in classification performance better than clinician decision-making. The final algorithm has been integrated into a computer-based clinical decision support tool that requires additional validation in a clinical sample.
Real-time sun protection decisions in first-degree relatives of melanoma patients.
Hay, Jennifer L; Shuk, Elyse; Schofield, Elizabeth; Loeb, Rebecca; Holland, Susan; Burkhalter, Jack; Li, Yuelin
2017-09-01
Melanoma is the most serious skin cancer, and consistent use of sun protection is recommended to reduce risk. Yet sun protection use is generally inconsistent. Understanding the decisional factors driving sun protection choices could aid in intervention development to promote sun protection maintenance. In 59 first-degree relatives of melanoma patients, an interactive voice response system (IVRS) on participants' cell phones was used to assess twice daily (morning, afternoon) real-time sun protection usage (sunscreen, shade, hats, protective clothing) and decision factors (weather, type of activity, convenience, social support) over a 14-day summer interval where morning and afternoon outdoor exposures were anticipated. Generalized estimating equations and hierarchical linear models were used to examine the effect of demographics and decisional factors on sun protection choices over time. Sun protection use was inconsistent (e.g., 61% used sunscreen inconsistently). Most strategies were used independently, with the exception of moderate overlap of sunscreen and hat usage. Decision factors were highly relevant for sun protection. For instance, sunscreen use was related to the perception of having adequate time to apply it, whereas shade and hat usage were each related to convenience. Few findings emerged by gender, age, time of day, or year. Significant within-subject variation remained, however. The findings support continued examination of decision factors in understanding sun protection consistency in real time. Interventions where cues to action and environmental supports work together in varied settings can be developed to improve sun protection maintenance in populations at risk for this common disease. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Vecchio, Nicolás; Belardi, Diego; Benzadón, Mariano; Seoane, Leonardo; Daquarti, Gustavo; Scazzuso, Fernando
2018-06-01
Despite the well-documented benefit of implantable cardioverter defibrillator (ICD) in patients with severe left ventricular dysfunction, there is a large number of patients who had not been offered this therapy. The aim of this study is to evaluate the utility of a hybrid decision support system (hCDSS) to improve the adherence to indicate ICD therapy in our institution. We conducted a retrospective, observational and single-center study. An hCDSS focused on patients with severe deterioration of the left ventricular function was implemented, creating a mandatory field containing the value of left ejection fraction and three options to choose: >35%, ≤ 35% or unknown. When the option ≤ 35% is checked, an email is automatically sent to the electrophysiology section where the staff can contact the treating physician to discuss the indication of ICD therapy. We measured the number of ICDs implanted before the alert (month 1-21), immediate post and late post alert (month 22-27 and 28-48 months respectively) RESULTS: The rate of ICD implantation increased from 1.76% per month in the pre-intervention period to 4.48% after the intervention (p < 0.001). This increase in the rate of ICD implantation remained stable between the immediate and late post-intervention period (4.6 vs. 4.4; p = .8) CONCLUSION: The implementation of a hybrid decision support system was associated with improved adherence to clinical guidelines for prevention of sudden cardiac death, as evidenced by a rapid and sustained increase in the number of ICD implants in patients with severe left ventricular dysfunction. Copyright © 2018 Elsevier B.V. All rights reserved.
Marckmann, G; In der Schmitten, J
2014-05-01
Under the current conditions in the health care system, physicians inevitably have to take responsibility for the cost dimension of their decisions on the level of single cases. This article, therefore, discusses the question how physicians can integrate cost considerations into their clinical decisions at the microlevel in a medically rational and ethically justified way. We propose a four-step model for "ethical cost-consciousness": (1) forego ineffective interventions as required by good evidence-based medicine, (2) respect individual patient preferences, (3) minimize the diagnostic and therapeutic effort to achieve a certain treatment goal, and (4) forego expensive interventions that have only a small or unlikely (net) benefit for the patient. Steps 1-3 are ethically justified by the principles of beneficence, nonmaleficence, and respect for autonomy, step 4 by the principles of justice. For decisions on step 4, explicit cost-conscious guidelines should be developed locally or regionally. Following the four-step model can contribute to ethically defensible, cost-conscious decision-making at the microlevel. In addition, physicians' rationing decisions should meet basic standards of procedural fairness. Regular cost-case discussions and clinical ethics consultation should be available as decision support. Implementing step 4, however, requires first of all a clear political legitimation with the corresponding legal framework.
Factors influencing malaria control policy-making in Kenya, Uganda and Tanzania.
Mutero, Clifford M; Kramer, Randall A; Paul, Christopher; Lesser, Adriane; Miranda, Marie Lynn; Mboera, Leonard E G; Kiptui, Rebecca; Kabatereine, Narcis; Ameneshewa, Birkinesh
2014-08-08
Policy decisions for malaria control are often difficult to make as decision-makers have to carefully consider an array of options and respond to the needs of a large number of stakeholders. This study assessed the factors and specific objectives that influence malaria control policy decisions, as a crucial first step towards developing an inclusive malaria decision analysis support tool (MDAST). Country-specific stakeholder engagement activities using structured questionnaires were carried out in Kenya, Uganda and Tanzania. The survey respondents were drawn from a non-random purposeful sample of stakeholders, targeting individuals in ministries and non-governmental organizations whose policy decisions and actions are likely to have an impact on the status of malaria. Summary statistics across the three countries are presented in aggregate. Important findings aggregated across countries included a belief that donor preferences and agendas were exerting too much influence on malaria policies in the countries. Respondents on average also thought that some relevant objectives such as engaging members of parliament by the agency responsible for malaria control in a particular country were not being given enough consideration in malaria decision-making. Factors found to influence decisions regarding specific malaria control strategies included donor agendas, costs, effectiveness of interventions, health and environmental impacts, compliance and/acceptance, financial sustainability, and vector resistance to insecticides. Malaria control decision-makers in Kenya, Uganda and Tanzania take into account health and environmental impacts as well as cost implications of different intervention strategies. Further engagement of government legislators and other policy makers is needed in order to increase funding from domestic sources, reduce donor dependence, sustain interventions and consolidate current gains in malaria.
Khemka, Ishita; Hickson, Linda; Mallory, Sarah B
2016-07-01
This study was designed to assess the impact of a decision-making curriculum (PEER-DM) on the social peer relationship knowledge and self-protective decision-making skills of adolescents with disabilities in hypothetical situations involving negative peer pressure. A randomized design was used to assign students with disabilities from self-contained special education classes to an intervention group (n = 22) or a wait-list control group (n = 20). ANCOVA analyses, using pretest scores as covariates, indicated that students who were trained on PEER-DM had significantly higher effective decision-making action and correct risk perception scores, relative to participants in the control group. This study provides supporting evidence that PEER-DM is a promising intervention for students with disabilities, including those with identified autism spectrum disorders, during transition years to help them develop a better understanding of positive and negative peer relationships and learn systematic decision-making skills for improved handling of social situations in the school and community, especially situations involving negative peer pressure. The study adds credence to using systematic, strategy-based decision making interventions designed to address the cognitive, emotional and motivational processes underlying adolescent decision making in sensitive interpersonal situations involving peer pressure. The study points to the lack of preparedness to handle situations of negative peer pressure as a serious social and health risk for adolescents with disabilities that deserves urgent and concerted attention in transition services programming. Implications for future curriculum-development efforts and replication of treatment findings are discussed. Future research examining disability-specific patterns of decision-making in peer situations and comparisons with typically developing populations is recommended.
Sassen, Barbara; Kok, Gerjo; Schepers, Jan; Vanhees, Luc
2014-10-21
Research to assess the effect of interventions to improve the processes of shared decision making and self-management directed at health care professionals is limited. Using the protocol of Intervention Mapping, a Web-based intervention directed at health care professionals was developed to complement and optimize health services in patient-centered care. The objective of the Web-based intervention was to increase health care professionals' intention and encouraging behavior toward patient self-management, following cardiovascular risk management guidelines. A randomized controlled trial was used to assess the effect of a theory-based intervention, using a pre-test and post-test design. The intervention website consisted of a module to help improve professionals' behavior, a module to increase patients' intention and risk-reduction behavior toward cardiovascular risk, and a parallel module with a support system for the health care professionals. Health care professionals (n=69) were recruited online and randomly allocated to the intervention group (n=26) or (waiting list) control group (n=43), and invited their patients to participate. The outcome was improved professional behavior toward health education, and was self-assessed through questionnaires based on the Theory of Planned Behavior. Social-cognitive determinants, intention and behavior were measured pre-intervention and at 1-year follow-up. The module to improve professionals' behavior was used by 45% (19/42) of the health care professionals in the intervention group. The module to support the health professional in encouraging behavior toward patients was used by 48% (20/42). The module to improve patients' risk-reduction behavior was provided to 44% (24/54) of patients. In 1 of every 5 patients, the guideline for cardiovascular risk management was used. The Web-based intervention was poorly used. In the intervention group, no differences in social-cognitive determinants, intention and behavior were found for health care professionals, compared with the control group. We narrowed the intervention group and no significant differences were found in intention and behavior, except for barriers. Results showed a significant overall difference in barriers between the intervention and the control group (F1=4.128, P=.02). The intervention was used by less than half of the participants and did not improve health care professionals' and patients' cardiovascular risk-reduction behavior. The website was not used intensively because of time and organizational constraints. Professionals in the intervention group experienced higher levels of barriers to encouraging patients, than professionals in the control group. No improvements were detected in the processes of shared decision making and patient self-management. Although participant education level was relatively high and the intervention was pre-tested, it is possible that the way the information was presented could be the reason for low participation and high dropout. Further research embedded in professionals' regular consultations with patients is required with specific emphasis on the processes of dissemination and implementation of innovations in patient-centered care. Netherlands Trial Register Number (NTR): NTR2584; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=2584 (Archived by WebCite at http://www.webcitation.org/6STirC66r).
Price, Morgan; Davies, Iryna; Rusk, Raymond; Lesperance, Mary; Weber, Jens
2017-06-15
Potentially Inappropriate Prescriptions (PIPs) are a common cause of morbidity, particularly in the elderly. We sought to understand how the Screening Tool of Older People's Prescriptions (STOPP) prescribing criteria, implemented in a routinely used primary care Electronic Medical Record (EMR), could impact PIP rates in community (non-academic) primary care practices. We conducted a mixed-method, pragmatic, cluster, randomized control trial in research naïve primary care practices. Phase 1: In the randomized controlled trial, 40 fully automated STOPP rules were implemented as EMR alerts during a 16-week intervention period. The control group did not receive the 40 STOPP rules (but received other alerts). Participants were recruited through the OSCAR EMR user group mailing list and in person at user group meetings. Results were assessed by querying EMR data PIPs. EMR data quality probes were included. Phase 2: physicians were invited to participate in 1-hour semi-structured interviews to discuss the results. In the EMR, 40 STOPP rules were successfully implemented. Phase 1: A total of 28 physicians from 8 practices were recruited (16 in intervention and 12 in control groups). The calculated PIP rate was 2.6% (138/5308) (control) and 4.11% (768/18,668) (intervention) at baseline. No change in PIPs was observed through the intervention (P=.80). Data quality probes generally showed low use of problem list and medication list. Phase 2: A total of 5 physicians participated. All the participants felt that they were aware of the alerts but commented on workflow and presentation challenges. The calculated PIP rate was markedly less than the expected rate found in literature (2.6% and 4.0% vs 20% in literature). Data quality probes highlighted issues related to completeness of data in areas of the EMR used for PIP reporting and by the decision support such as problem and medication lists. Users also highlighted areas for better integration of STOPP guidelines with prescribing workflows. Many of the STOPP criteria can be implemented in EMRs using simple logic. However, data quality in EMRs continues to be a challenge and was a limiting step in the effectiveness of the decision support in this study. This is important as decision makers continue to fund implementation and adoption of EMRs with the expectation of the use of advanced tools (such as decision support) without ongoing review of data quality and improvement. Clinicaltrials.gov NCT02130895; https://clinicaltrials.gov/ct2/show/NCT02130895 (Archived by WebCite at http://www.webcitation.org/6qyFigSYT). ©Morgan Price, Iryna Davies, Raymond Rusk, Mary Lesperance, Jens Weber. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 15.06.2017.
Impact of electronic health record clinical decision support on the management of pediatric obesity.
Shaikh, Ulfat; Berrong, Jeanette; Nettiksimmons, Jasmine; Byrd, Robert S
2015-01-01
Clinicians vary significantly in their adherence to clinical guidelines for overweight/obesity. This study assessed the impact of electronic health record-based clinical decision support in improving the diagnosis and management of pediatric obesity. The study team programmed a point-of-care alert linked to a checklist and standardized documentation templates to appear during health maintenance visits for overweight/obese children in an outpatient teaching clinic and compared outcomes through medical record reviews of 574 (287 control and 287 intervention) visits. The results demonstrated a statistically significant increase in the diagnosis of overweight/obesity, scheduling of follow-up appointments, frequency of ordering recommended laboratory investigations, and assessment and counseling for nutrition and physical activity. Although clinical guideline adherence increased significantly, it was far from universal. It is unknown if modest improvements in adherence to clinical guidelines translate to improvements in children's health. However, this intervention was relatively easy to implement and produced measurable improvements in health care delivery. © 2014 by the American College of Medical Quality.
Sirajuddin, Anwar M; Osheroff, Jerome A.; Sittig, Dean F.; Chuo, John; Velasco, Ferdinand; Collins, David A.
2012-01-01
Effective clinical decision support (CDS) is essential for addressing healthcare performance improvement imperatives, but care delivery organizations (CDO) typically struggle with CDS deployment. Ensuring safe and effective medication delivery to patients is a central focus of CDO performance improvement efforts, and this article provides an overview of best-practice strategies for applying CDS to these goals. The strategies discussed are drawn from a new guidebook, co-published and co-sponsored by more than a dozen leading organizations. Developed by scores of CDS implementers and experts, the guidebook outlines key steps and success factors for applying CDS to medication management. A central thesis is that improving outcomes with CDS interventions requires that the CDS five rights be addressed successfully. That is, the interventions must deliver the right information, to the right person, in the right format, through the right channel, at the right point in workflow. This paper provides further details about these CDS five rights, and highlights other important strategies for successful CDS programs. PMID:19894486
How to Measure Costs and Benefits of eHealth Interventions: An Overview of Methods and Frameworks
2015-01-01
Information on the costs and benefits of eHealth interventions is needed, not only to document value for money and to support decision making in the field, but also to form the basis for developing business models and to facilitate payment systems to support large-scale services. In the absence of solid evidence of its effects, key decision makers may doubt the effectiveness, which, in turn, limits investment in, and the long-term integration of, eHealth services. However, it is not realistic to conduct economic evaluations of all eHealth applications and services in all situations, so we need to be able to generalize from those we do conduct. This implies that we have to select the most appropriate methodology and data collection strategy in order to increase the transferability across evaluations. This paper aims to contribute to the understanding of how to apply economic evaluation methodology in the eHealth field. It provides a brief overview of basic health economics principles and frameworks and discusses some methodological issues and challenges in conducting cost-effectiveness analysis of eHealth interventions. Issues regarding the identification, measurement, and valuation of costs and benefits are outlined. Furthermore, this work describes the established techniques of combining costs and benefits, presents the decision rules for identifying the preferred option, and outlines approaches to data collection strategies. Issues related to transferability and complexity are also discussed. PMID:26552360
LaBrie, Joseph W; Pedersen, Eric R; Lamb, Toby F; Bove, Lane
2006-01-01
The National Institute on Alcohol Abuse and Alcoholism developed several guidelines for effective interventions in dealing with problematic college student drinking, including targeted individual interventions paired with broader campus community involvement. The project Heads UP! combines these suggestions in an effort to intervene with high-risk first-year male college students. The objective of the program is to reduce campus alcohol-related negative events and prevent these high-risk students from developing dangerous drinking patterns throughout college. The project provides an environment that supports students in actively following the goals outlined by the intervention, and it actively impacts the overall campus by helping students make responsible drinking decisions. Promising results are forthcoming, and the authors encourage other universities to design and adopt similar campus-supported programs nested within the broader campus community that target high-risk populations on campus.
Flynn, Darren; Knoedler, Meghan A; Hess, Erik P; Murad, M Hassan; Erwin, Patricia J; Montori, Victor M; Thomson, Richard G
2012-08-01
Many decisions in the emergency department (ED) may benefit from patient involvement, even though this setting has been considered least conducive to shared decision-making (SDM). The objective was to conduct a systematic review to evaluate the approaches, methods, and tools used to engage patients or their surrogates in SDM in the ED. Five electronic databases were searched in conjunction with contacting content experts, reviewing selected bibliographies, and conducting citation searches using the Web of Knowledge database. Two reviewers independently selected eligible studies that addressed patient involvement and engagement in decision-making in the ED setting via the use of decision support interventions (DSIs), defined as decision aids or decision support designed to communicate probabilistic information on the risks and benefits of treatment options to patients as part of an SDM process. Eligible studies described and assessed at least one of the following outcomes: patient knowledge, experiences and perspectives on participating in treatment or management decisions, clinician or patient satisfaction, preference for involvement and/or degree of engagement in decision-making and treatment preferences, and clinical outcomes (e.g., rates of hospital admission/readmission, rates of medical or surgical interventions). Two reviewers extracted data on study characteristics, methodologic quality, and outcomes. The authors also assessed the extent to which SDM interventions adhered to good practice for the presentation of information on outcome probabilities (eight probability items from the International Patient Decision Aid Standards Instrument [IPDASi]) and had comprehensive development processes. Five studies met inclusion criteria and were synthesized using a narrative approach. Each study was of satisfactory methodologic quality and used a DSI to engage patients or their surrogates in decision-making in the ED across four domains: 1) management options for children with small lacerations; 2) options for rehydrating children presenting with vomiting or diarrhea or both; 3) risk of bacteremia (and associated complications), tests, and treatment options for febrile children; and 4) short-term risk of acute coronary syndrome (ACS) in adults with low-risk nontraumatic chest pain. Three studies had poor IPDASi probabilities and development process scores and lacked development informed by theory or involvement of clinicians and patients in development and usability testing. Overall, DSIs were associated with improvements in patients' knowledge and satisfaction with the explanation of their care, preferences for involvement, and engagement in decision-making and demonstrated utility for eliciting patients' preferences and values about management and treatment options. Two computerized DSIs (designed to predict risk of ACS in adults presenting to the ED with chest pain) were shown to reduce health care use without evidence of harm. None of the studies reported lack of feasibility of SDM in the ED. Early investigation of SDM in the ED suggests that patients may benefit from involvement in decision-making and offers no empirical evidence to suggest that SDM is not feasible. Future work is needed to develop and test additional SDM interventions in the ED and to identify contextual barriers and facilitators to implementation in practice. © 2012 by the Society for Academic Emergency Medicine.
Current Status and Future Prospects of Clinical Psycholog
Baker, Timothy B.; McFall, Richard M.; Shoham, Varda
2010-01-01
SUMMARY The escalating costs of health care and other recent trends have made health care decisions of great societal import, with decision-making responsibility often being transferred from practitioners to health economists, health plans, and insurers. Health care decision making increasingly is guided by evidence that a treatment is efficacious, effective–disseminable, cost-effective, and scientifically plausible. Under these conditions of heightened cost concerns and institutional–economic decision making, psychologists are losing the opportunity to play a leadership role in mental and behavioral health care: Other types of practitioners are providing an increasing proportion of delivered treatment, and the use of psychiatric medication has increased dramatically relative to the provision of psychological interventions. Research has shown that numerous psychological interventions are efficacious, effective, and cost-effective. However, these interventions are used infrequently with patients who would benefit from them, in part because clinical psychologists have not made a convincing case for the use of these interventions (e.g., by supplying the data that decision makers need to support implementation of such interventions) and because clinical psychologists do not themselves use these interventions even when given the opportunity to do so. Clinical psychologists’ failure to achieve a more significant impact on clinical and public health may be traced to their deep ambivalence about the role of science and their lack of adequate science training, which leads them to value personal clinical experience over research evidence, use assessment practices that have dubious psychometric support, and not use the interventions for which there is the strongest evidence of efficacy. Clinical psychology resembles medicine at a point in its history when practitioners were operating in a largely prescientific manner. Prior to the scientific reform of medicine in the early 1900s, physicians typically shared the attitudes of many of today’s clinical psychologists, such as valuing personal experience over scientific research. Medicine was reformed, in large part, by a principled effort by the American Medical Association to increase the science base of medical school education. Substantial evidence shows that many clinical psychology doctoral training programs, especially PsyD and for-profit programs, do not uphold high standards for graduate admission, have high student–faculty ratios, deemphasize science in their training, and produce students who fail to apply or generate scientific knowledge. A promising strategy for improving the quality and clinical and public health impact of clinical psychology is through a new accreditation system that demands highquality science training as a central feature of doctoral training in clinical psychology. Just as strengthening training standards in medicine markedly enhanced the quality of health care, improved training standards in clinical psychology will enhance health and mental health care. Such a system will (a) allow the public and employers to identify scientifically trained psychologists; (b) stigmatize ascientific training programs and practitioners; (c) produce aspirational effects, thereby enhancing training quality generally; and (d) help accredited programs improve their training in the application and generation of science. These effects should enhance the generation, application, and dissemination of experimentally supported interventions, thereby improving clinical and public health. Experimentally based treatments not only are highly effective but also are cost-effective relative to other interventions; therefore, they could help control spiraling health care costs. The new Psychological Clinical Science Accreditation System (PCSAS) is intended to accredit clinical psychology training programs that offer highquality science-centered education and training, producing graduates who are successful in generating and applying scientific knowledge. Psychologists, universities, and other stakeholders should vigorously support this new accreditation system as the surest route to a scientifically principled clinical psychology that can powerfully benefit clinical and public health. PMID:20865146
Network meta-analysis: an introduction for pharmacists.
Xu, Yina; Amiche, Mohamed Amine; Tadrous, Mina
2018-05-21
Network meta-analysis is a new tool used to summarize and compare studies for multiple interventions, irrespective of whether these interventions have been directly evaluated against each other. Network meta-analysis is quickly becoming the standard in conducting therapeutic reviews and clinical guideline development. However, little guidance is available to help pharmacists review network meta-analysis studies in their practice. Major institutions such as the Cochrane Collaboration, Agency for Healthcare Research and Quality, Canadian Agency for Drugs and Technologies in Health, and National Institute for Health and Care Excellence Decision Support Unit have endorsed utilizing network meta-analysis to establish therapeutic evidence and inform decision making. Our objective is to introduce this novel technique to pharmacy practitioners, and highlight key assumptions behind network meta-analysis studies.
The professional medical ethics model of decision making under conditions of clinical uncertainty.
McCullough, Laurence B
2013-02-01
The professional medical ethics model of decision making may be applied to decisions clinicians and patients make under the conditions of clinical uncertainty that exist when evidence is low or very low. This model uses the ethical concepts of medicine as a profession, the professional virtues of integrity and candor and the patient's virtue of prudence, the moral management of medical uncertainty, and trial of intervention. These features combine to justifiably constrain clinicians' and patients' autonomy with the goal of preventing nondeliberative decisions of patients and clinicians. To prevent biased recommendations by the clinician that promote such nondeliberative decisions, medically reasonable alternatives supported by low or very low evidence should be offered but not recommended. The professional medical ethics model of decision making aims to improve the quality of decisions by reducing the unacceptable variation that can result from nondeliberative decision making by patients and clinicians when evidence is low or very low.
Usefulness of Cochrane Skin Group reviews for clinical practice.
Davila-Seijo, P; Batalla, A; Garcia-Doval, I
2013-10-01
Systematic reviews are one of the most important sources of information for evidence-based medicine. However, there is a general impression that these reviews rarely report results that provide sufficient evidence to change clinical practice. The aim of this study was to determine the percentage of Cochrane Skin Group reviews reporting results with the potential to guide clinical decision-making. We performed a bibliometric analysis of all the systematic reviews published by the Cochrane Skin Group up to 16 August, 2012. We retrieved 55 reviews, which were analyzed and graded independently by 2 investigators into 3 categories: 0 (insufficient evidence to support or reject the use of an intervention), 1 (insufficient evidence to support or reject the use of an intervention but sufficient evidence to support recommendations or suggestions), and 2 (sufficient evidence to support or reject the use of an intervention). Our analysis showed that 25.5% (14/55) of the studies did not provide sufficient evidence to support or reject the use of the interventions studied, 45.5% (25/25) provided sufficient but not strong evidence to support recommendations or suggestions, and 29.1% (16/55) provided strong evidence to support or reject the use of 1 or more of the interventions studied. Most of the systematic reviews published by the Cochrane Skin Group provide useful information to improve clinical practice. Clinicians should read these reviews and reconsider their current practice. Copyright © 2012 Elsevier España, S.L. and AEDV. All rights reserved.
Eneanya, Nwamaka D; Goff, Sarah L; Martinez, Talaya; Gutierrez, Natalie; Klingensmith, Jamie; Griffith, John L; Garvey, Casey; Kitsen, Jenny; Germain, Michael J; Marr, Lisa; Berzoff, Joan; Unruh, Mark; Cohen, Lewis M
2015-06-12
End-stage renal disease carries a prognosis similar to cancer yet only 20 % of end-stage renal disease patients are referred to hospice. Furthermore, conversations between dialysis team members and patients about end-of-life planning are uncommon. Lack of provider training about how to communicate prognostic data may contribute to the limited number of end-of-life care discussions that take place with this chronically ill population. In this study, we will test the Shared Decision-Making Renal Supportive Care communication intervention to systematically elicit patient and caretaker preferences for end-of-life care so that care concordant with patients' goals can be provided. This multi-center study will deploy an intervention to improve end-of-life communication for hemodialysis patients who are at high risk of death in the ensuing six months. The intervention will be carried out as a prospective cohort with a retrospective cohort serving as the comparison group. Patients will be recruited from 16 dialysis units associated with two large academic centers in Springfield, Massachusetts and Albuquerque, New Mexico. Critical input from patient advisory boards, a stakeholder panel, and initial qualitative analysis of patient and caretaker experiences with advance care planning have informed the communication intervention. Rigorous communication training for hemodialysis social workers and providers will ensure that standardized study procedures are performed at each dialysis unit. Nephrologists and social workers will communicate prognosis and provide advance care planning in face-to-face encounters with patients and families using a social work-centered algorithm. Study outcomes including frequency and timing of hospice referrals, patient and caretaker satisfaction, quality of end-of-life discussions, and quality of death will be assessed over an 18 month period. The Shared Decision-Making Renal Supportive Care Communication intervention intends to improve discussions about prognosis and end-of-life care with end-stage renal disease patients. We anticipate that the intervention will help guide hemodialysis staff and providers to effectively participate in advance care planning for patients and caretakers to establish preferences and goals at the end of life. NCT02405312.
Ramallo-Fariña, Yolanda; García-Pérez, Lidia; Castilla-Rodríguez, Iván; Perestelo-Pérez, Lilisbeth; Wägner, Ana María; de Pablos-Velasco, Pedro; Domínguez, Armando Carrillo; Cortés, Mauro Boronat; Vallejo-Torres, Laura; Ramírez, Marcos Estupiñán; Martín, Pablo Pedrianes; García-Puente, Ignacio; Salinero-Fort, Miguel Ángel; Serrano-Aguilar, Pedro Guillermo
2015-04-09
Type 2 diabetes mellitus is a chronic disease whose health outcomes are related to patients and healthcare professionals' decision-making. The Diabetes Intervention study in the Canary Islands (INDICA study) aims to evaluate the effectiveness and cost-effectiveness of educational interventions supported by new technology decision tools for type 2 diabetes patients and primary care professionals in the Canary Islands. The INDICA study is an open, community-based, multicenter, clinical controlled trial with random allocation by clusters to one of three interventions or to usual care. The setting is primary care where physicians and nurses are invited to participate. Patients with diabetes diagnosis, 18-65 years of age, and regular users of mobile phone were randomly selected. Patients with severe comorbidities were excluded. The clusters are primary healthcare practices with enough professionals and available places to provide the intervention. The calculated sample size was 2,300 patients. Patients in group 1 are receiving an educational group program of eight sessions every 3 months led by trained nurses and monitored by means of logs and a web-based platform and tailored semi-automated SMS for continuous support. Primary care professionals in group 2 are receiving a short educational program to update their diabetes knowledge, which includes a decision support tool embedded into the electronic clinical record and a monthly feedback report of patients' results. Group 3 is receiving a combination of the interventions for patients and professionals. The primary endpoint is the change in HbA1c in 2 years. Secondary endpoints are cardiovascular risk factors, macrovascular and microvascular diabetes complications, quality of life, psychological outcomes, diabetes knowledge, and healthcare utilization. Data is being collected from interviews, questionnaires, clinical examinations, and records. Generalized linear mixed models with repeated time measurements will be used to analyze changes in outcomes. The cost-effectiveness analysis, from the healthcare services perspective, involves direct medical costs per quality-adjusted life year gained and two periods, a 'within-trial' period and a lifetime Markov model. Deterministic and probabilistic sensitivity analyses are planned. This ongoing trial aims to set up the implementation of evidence-based programs in the clinical setting for chronic patients. Clinical Trial.gov NCT01657227.
Kananura, Rornald Muhumuza; Ekirapa-Kiracho, Elizabeth; Paina, Ligia; Bumba, Ahmed; Mulekwa, Godfrey; Nakiganda-Busiku, Dinah; Oo, Htet Nay Lin; Kiwanuka, Suzanne Namusoke; George, Asha; Peters, David H
2017-12-28
The use of participatory monitoring and evaluation (M&E) approaches is important for guiding local decision-making, promoting the implementation of effective interventions and addressing emerging issues in the course of implementation. In this article, we explore how participatory M&E approaches helped to identify key design and implementation issues and how they influenced stakeholders' decision-making in eastern Uganda. The data for this paper is drawn from a retrospective reflection of various M&E approaches used in a maternal and newborn health project that was implemented in three districts in eastern Uganda. The methods included qualitative and quantitative M&E techniques such as key informant interviews, formal surveys and supportive supervision, as well as participatory approaches, notably participatory impact pathway analysis. At the design stage, the M&E approaches were useful for identifying key local problems and feasible local solutions and informing the activities that were subsequently implemented. During the implementation phase, the M&E approaches provided evidence that informed decision-making and helped identify emerging issues, such as weak implementation by some village health teams, health facility constraints such as poor use of standard guidelines, lack of placenta disposal pits, inadequate fuel for the ambulance at some facilities, and poor care for low birth weight infants. Sharing this information with key stakeholders prompted them to take appropriate actions. For example, the sub-county leadership constructed placenta disposal pits, the district health officer provided fuel for ambulances, and health workers received refresher training and mentorship on how to care for newborns. Diverse sources of information and perspectives can help researchers and decision-makers understand and adapt evidence to contexts for more effective interventions. Supporting districts to have crosscutting, routine information generating and sharing platforms that bring together stakeholders from different sectors is therefore crucial for the successful implementation of complex development interventions.
A randomized comparative trial of two decision tools for pregnant women with prior cesareans.
Eden, Karen B; Perrin, Nancy A; Vesco, Kimberly K; Guise, Jeanne-Marie
2014-01-01
Evaluate tools to help pregnant women with prior cesareans make informed decisions about having trials of labor. Randomized comparative trial. A research assistant with a laptop met the women in quiet locations at clinics and at health fairs. Pregnant women (N = 131) who had one prior cesarean and were eligible for vaginal birth after cesarean (VBAC) participated one time between 2005 and 2007. Women were randomized to receive either an evidence-based, interactive decision aid or two evidence-based educational brochures about cesarean delivery and VBAC. Effect on the decision-making process was assessed before and after the interventions. Compared to baseline, women in both groups felt more informed (F = 23.8, p < .001), were more clear about their birth priorities (F = 9.7, p = .002), felt more supported (F = 9.8, p = .002, and overall reported less conflict (F = 18.1, p < 0.001) after receiving either intervention. Women in their third trimesters reported greater clarity around birth priorities after using the interactive decision aid than women given brochures (F = 9.8, p = .003). Although both decision tools significantly reduced conflict around the birth decision compared to baseline, more work is needed to understand which format, the interactive decision aid or paper brochures, are more effective early and late in pregnancy. © 2014 AWHONN, the Association of Women's Health, Obstetric and Neonatal Nurses.
Massey, Emma K; Gregoor, Peter J H Smak; Nette, Robert W; van den Dorpel, Marinus A; van Kooij, Anthony; Zietse, Robert; Zuidema, Willij C; Timman, Reinier; Busschbach, Jan J; Weimar, Willem
2016-05-01
The aim was to test the effectiveness of early home-based group education on knowledge and communication about renal replacement therapy (RRT). We conducted a randomized controlled trial using a cross-over design among 80 end-stage renal disease (ESRD) patients. Between T0 and T1 (weeks 1-4) Group 1 received the intervention and Group 2 received standard care. Between T1 and T2 (weeks 5-8) Group 1 received standard care and Group 2 received the intervention. The intervention was a group education session on RRT options held in the patient's home given by social workers. Patients invited members from their social network to attend. Self-report questionnaires were used at T0, T1 and T2 to measure patients' knowledge and communication, and concepts from the Theory of Planned Behaviour such as attitude. Comparable questionnaires were completed pre-post intervention by 229 attendees. Primary RRT was registered up to 2 years post-intervention. Multilevel linear modelling was used to analyse patient data and paired t-tests for attendee data. Statistically significant increases in the primary targets knowledge and communication were found among patients and attendees after receiving the intervention. The intervention also had a significant effect in increasing positive attitude toward living donation and haemodialysis. Of the 80 participants, 49 underwent RRT during follow-up. Of these, 34 underwent a living donor kidney transplant, of which 22 were pre-emptive. Early home-based group education supports informed decision-making regarding primary RRT for ESRD patients and their social networks and may remove barriers to pre-emptive transplantation. © The Author 2015. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.
Richardson, Karen J; Sengstack, Patricia; Doucette, Jeffrey N; Hammond, William E; Schertz, Matthew; Thompson, Julie; Johnson, Constance
2016-02-01
The primary aim of this performance improvement project was to determine whether the electronic health record implementation of stroke-specific nursing documentation flowsheet templates and clinical decision support alerts improved the nursing documentation of eligible stroke patients in seven stroke-certified emergency departments. Two system enhancements were introduced into the electronic record in an effort to improve nursing documentation: disease-specific documentation flowsheets and clinical decision support alerts. Using a pre-post design, project measures included six stroke management goals as defined by the National Institute of Neurological Disorders and Stroke and three clinical decision support measures based on entry of orders used to trigger documentation reminders for nursing: (1) the National Institutes of Health's Stroke Scale, (2) neurological checks, and (3) dysphagia screening. Data were reviewed 6 months prior (n = 2293) and 6 months following the intervention (n = 2588). Fisher exact test was used for statistical analysis. Statistical significance was found for documentation of five of the six stroke management goals, although effect sizes were small. Customizing flowsheets to meet the needs of nursing workflow showed improvement in the completion of documentation. The effects of the decision support alerts on the completeness of nursing documentation were not statistically significant (likely due to lack of order entry). For example, an order for the National Institutes of Health Stroke Scale was entered only 10.7% of the time, which meant no alert would fire for nursing in the postintervention group. Future work should focus on decision support alerts that trigger reminders for clinicians to place relevant orders for this population.
Reducing Clinical Inertia in Hypertension Treatment: a Pragmatic Randomized Controlled Trial
Huebschmann, Amy G.; Mizrahi, Trina; Soenksen, Alyssa; Beaty, Brenda L.; Denberg, Thomas D.
2012-01-01
Clinical inertia is a major contributor to poor blood pressure (BP) control. We tested the effectiveness of an intervention targeting physician, patient, and office system factors with regard to outcomes of clinical inertia and BP control. We randomized 591 adult primary care patients with elevated BP (mean systolic BP ≥140 or mean diastolic BP ≥90 mm Hg) to intervention or usual care. An outreach coordinator raised patient and provider awareness of unmet BP goals, arranged BP-focused primary care clinic visits, and furnished providers with treatment decision support. The intervention reduced clinical inertia (−29% vs. −11%, p=0.001). Nonetheless, ΔBP did not differ between intervention and usual care (−10.1/−4.1 vs. −9.1/−4.5 mm Hg, p = 0.50 and 0.71 for systolic and diastolic BP, respectively). Future primary care-focused interventions might benefit from the use of specific medication titration protocols, treatment adherence support, and more sustained patient follow-up visits. PMID:22533659
What is a good medical decision? A research agenda guided by perspectives from multiple stakeholders
Hamilton, Jada G.; Lillie, Sarah E.; Alden, Dana L.; Scherer, Laura; Oser, Megan; Rini, Christine; Tanaka, Miho; Baleix, John; Brewster, Mikki; Lee, Simon Craddock; Goldstein, Mary K.; Jacobson, Robert M.; Myers, Ronald E.; Zikmund-Fisher, Brian J.; Waters, Erika A.
2016-01-01
Informed and shared decision making are critical aspects of patient-centered care, which has contributed to an emphasis on decision support interventions to promote good medical decision making. However, researchers and healthcare providers have not reached a consensus on what defines a good decision, nor how to evaluate it. This position paper, informed by conference sessions featuring diverse stakeholders held at the 2015 Society of Behavioral Medicine and Society for Medical Decision Making annual meetings, describes key concepts that influence the decision making process itself and that may change what it means to make a good decision: interpersonal factors, structural constraints, affective influences, and values clarification methods. This paper also proposes specific research questions within each of these priority areas, with the goal of moving medical decision making research to a more comprehensive definition of a good medical decision, and enhancing the ability to measure and improve the decision making process. PMID:27566316
McCoy, Allison B; McCoy, Allison Beck; Peterson, Josh F; Gadd, Cynthia S; Gadd, Cindy; Danciu, Ioana; Waitman, Lemuel R
2008-11-06
Clinical decision support systems can decrease common errors related to inappropriate or excessive dosing for nephrotoxic or renally cleared drugs. We developed a comprehensive medication safety intervention with varying levels of workflow intrusiveness within computerized provider order entry to continuously monitor for and alert providers about early-onset acute kidney injury. Initial provider response to the interventions shows potential success in improving medication safety and suggests future enhancements to increase effectiveness.
Apply creative thinking of decision support in electrical nursing record.
Hao, Angelica Te-Hui; Hsu, Chien-Yeh; Li-Fang, Huang; Jian, Wen-Shan; Wu, Li-Bin; Kao, Ching-Chiu; Lu, Mei-Show; Chang, Her-Kung
2006-01-01
The nursing process consists of five interrelated steps: assessment, diagnosis, planning, intervention, and evaluation. In the nursing process, the nurse collects a great deal of data and information. The amount of data and information may exceed the amount the nurse can process efficiently and correctly. Thus, the nurse needs assistance to become proficient in the planning of nursing care, due to the difficulty of simultaneously processing a large set of information. Computer systems are viewed as tools to expand the capabilities of the nurse's mind. Using computer technology to support clinicians' decision making may provide high-quality, patient-centered, and efficient healthcare. Although some existing nursing information systems aid in the nursing process, they only provide the most fundamental decision support--i.e., standard care plans associated with common nursing diagnoses. Such a computerized decision support system helps the nurse develop a care plan step-by-step. But it does not assist the nurse in the decision-making process. The decision process about how to generate nursing diagnoses from data and how to individualize the care plans still reminds of the nurse. The purpose of this study is to develop a pilot structure in electronic nursing record system integrated with international nursing standard for improving the proficiency and accuracy of plan of care in clinical pathway process. The proposed pilot systems not only assist both student nurses and nurses who are novice in nursing practice, but also experts who need to work in a practice area which they are not familiar with.
Sheibani, Reza; Sheibani, Mehdi; Heidari-Bakavoli, Alireza; Abu-Hanna, Ameen; Eslami, Saeid
2017-12-23
To evaluate the effect of a computerized Decision Support System (CDSS) on improving adherence to an anticoagulation guideline for the treatment of atrial fibrillation (AF). This study had an interrupted time series design. The adherence to the guideline was assessed at fortnightly (two weeks) intervals from January 2016 to January 2017, 6 months before and 6 months after intervention. Newly diagnosed patients with AF were included in the offices of ten cardiologists. Stroke and major bleeding risks were calculated by the CDSS which was implemented via a mobile application. Treatment recommendations based on the guideline were shown to cardiologists. The segmented regression model was used to evaluate the effect of CDSS on level and trend of guideline adherence for the treatment of AF. In our analysis, 373 patients were included. The trend of adherence to the anticoagulation guideline for the treatment of AF was stable in the pre-intervention phase. After the CDSS intervention, mean of the adherence to the guideline significantly increased from 48% to 65.5% (P-value < 0.0001). The trend of adherence to the guideline was stable in the post-intervention phase. Our results showed that the CDSS can improve adherence to the anticoagulation guideline for the treatment of AF. Registration ID: IRCT2016052528070N1.
Mental Health and Head Start: Teaching Adaptive Skills.
ERIC Educational Resources Information Center
Forness, Steven R.; Serna, Loretta A.; Kavale, Kenneth A.; Nielsen, Elizabeth
1998-01-01
Describes the use of a self-determination curriculum for mental-health intervention and primary prevention for Head Start children. The curriculum addresses critical adaptive-skills domains, including social skills, self-evaluation, self-direction, networking or friendship, collaboration or support seeking, problem solving and decision making, and…
This article develops and explores a methodology for using qualitative influence diagrams in environmental policy and management to support decision-making efforts that minimize risk and increase resiliency. Influence diagrams are representations of the conditional aspects of a p...
Hooijmans, Carlijn R.; de Vries, Rob B. M.; Ritskes-Hoitinga, Merel; Rovers, Maroeska M.; Leeflang, Mariska M.; IntHout, Joanna; Wever, Kimberley E.; Hooft, Lotty; de Beer, Hans; Kuijpers, Ton; Macleod, Malcolm R.; Sena, Emily S.; ter Riet, Gerben; Morgan, Rebecca L.; Thayer, Kristina A.; Rooney, Andrew A.; Guyatt, Gordon H.; Schünemann, Holger J.
2018-01-01
Laboratory animal studies are used in a wide range of human health related research areas, such as basic biomedical research, drug research, experimental surgery and environmental health. The results of these studies can be used to inform decisions regarding clinical research in humans, for example the decision to proceed to clinical trials. If the research question relates to potential harms with no expectation of benefit (e.g., toxicology), studies in experimental animals may provide the only relevant or controlled data and directly inform clinical management decisions. Systematic reviews and meta-analyses are important tools to provide robust and informative evidence summaries of these animal studies. Rating how certain we are about the evidence could provide important information about the translational probability of findings in experimental animal studies to clinical practice and probably improve it. Evidence summaries and certainty in the evidence ratings could also be used (1) to support selection of interventions with best therapeutic potential to be tested in clinical trials, (2) to justify a regulatory decision limiting human exposure (to drug or toxin), or to (3) support decisions on the utility of further animal experiments. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach is the most widely used framework to rate the certainty in the evidence and strength of health care recommendations. Here we present how the GRADE approach could be used to rate the certainty in the evidence of preclinical animal studies in the context of therapeutic interventions. We also discuss the methodological challenges that we identified, and for which further work is needed. Examples are defining the importance of consistency within and across animal species and using GRADE’s indirectness domain as a tool to predict translation from animal models to humans. PMID:29324741
Hooijmans, Carlijn R; de Vries, Rob B M; Ritskes-Hoitinga, Merel; Rovers, Maroeska M; Leeflang, Mariska M; IntHout, Joanna; Wever, Kimberley E; Hooft, Lotty; de Beer, Hans; Kuijpers, Ton; Macleod, Malcolm R; Sena, Emily S; Ter Riet, Gerben; Morgan, Rebecca L; Thayer, Kristina A; Rooney, Andrew A; Guyatt, Gordon H; Schünemann, Holger J; Langendam, Miranda W
2018-01-01
Laboratory animal studies are used in a wide range of human health related research areas, such as basic biomedical research, drug research, experimental surgery and environmental health. The results of these studies can be used to inform decisions regarding clinical research in humans, for example the decision to proceed to clinical trials. If the research question relates to potential harms with no expectation of benefit (e.g., toxicology), studies in experimental animals may provide the only relevant or controlled data and directly inform clinical management decisions. Systematic reviews and meta-analyses are important tools to provide robust and informative evidence summaries of these animal studies. Rating how certain we are about the evidence could provide important information about the translational probability of findings in experimental animal studies to clinical practice and probably improve it. Evidence summaries and certainty in the evidence ratings could also be used (1) to support selection of interventions with best therapeutic potential to be tested in clinical trials, (2) to justify a regulatory decision limiting human exposure (to drug or toxin), or to (3) support decisions on the utility of further animal experiments. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach is the most widely used framework to rate the certainty in the evidence and strength of health care recommendations. Here we present how the GRADE approach could be used to rate the certainty in the evidence of preclinical animal studies in the context of therapeutic interventions. We also discuss the methodological challenges that we identified, and for which further work is needed. Examples are defining the importance of consistency within and across animal species and using GRADE's indirectness domain as a tool to predict translation from animal models to humans.
La Morgia, Valentina; Paoloni, Daniele; Genovesi, Piero
2017-02-01
Eradication of invasive alien species supports the recovery of native biodiversity. A new European Union Regulation introduces obligations to eradicate the most harmful invasive species. However, eradications of charismatic mammals may encounter strong opposition. Considering the case study of the eastern grey squirrel (Sciurus carolinensis Gmelin, 1788) in central Italy, we developed a structured decision-making technique based on a Bayesian decision network model and explicitly considering the plurality of environmental values of invasive species management to reduce potential social conflicts. The model identified priority areas for management activities. These areas corresponded to the core of the grey squirrel range, but they also included peripheral zones, where rapid eradication is fundamental to prevent the spread of squirrels. However, when the model was expanded to integrate the attitude of citizens towards the project, the intervention strategy slightly changed. In some areas, the citizens' support was limited, and this resulted in a reduced overall utility of intervention. The suggested approach extends the scientific basis for management decisions, evaluated in terms of technical efficiency, feasibility and social impact. Here, the Bayesian decision network model analysed the potential technical and social consequences of management actions, and it responded to the need for transparency in the decision-making process, but it can easily be extended to consider further issues that are common in many mammal eradication programmes. Owing to its flexibility and comprehensiveness, it provides an innovative example of how to plan rapid eradication or control activities, as required by the new EU Regulation. © 2016 Society of Chemical Industry. © 2016 Society of Chemical Industry.
Shirazi, Mandana; Emami, Amir Hossein; Mirmoosavi, Seyed Jamal; Alavinia, Seyed Mohammad; Zamanian, Hadi; Fathollahbeigi, Faezeh; Masiello, Italo
2016-04-01
To assess the effects of a workshop on supportive leadership behaviour (SLB) on the performance of head nurses, using a randomized controlled trial design. The effect of transformational leadership on SLB in nursing management is emphasised. A total of 110 head nurses working at university hospitals were included randomly in two control and intervention groups. The head nurses in the intervention group participated in supportive leadership training, but the control group did not. Performance in supportive leadership was assessed with a validated instrument, which six subordinates used to assess their head nurse (n = 731). There was a significant difference in SLB scores from baseline to the 3 month follow-up (P < 0.0001). Moreover, the post-intervention scores were significantly higher in the intervention group, compared with the control group (P < 0.0001). The results showed that in the intervention group, the effect sizes were greater for males (50%) than for females (36%) and greater for married participants (42%) than for single participants (37%). The workshop on supportive leadership behaviour, particularly the interactive multifaceted training, improved the leadership performance of the head nurses who participated in this study. Health policy decision makers should apply SLB, which is a significant leadership style, to improve the outcomes in other groups of health-care management, such as physicians. Future studies are needed to investigate the effects of such workshops in longer periods of follow up. © 2015 John Wiley & Sons Ltd.
The Impact of Shared Decision-making Interventions on Prostate Cancer Treatment Decision-making
Angie Fagerlin, PhD, is a Professor and Chair in the Department of Population Health Sciences at the University of Utah and a Research Scientist at the Salt Lake City VA. She is the current President of the Society of Medical Decision Making. Dr. Fagerlin’s training is in experimental psychology, primarily in the areas of cognitive and social psychology. Her research focuses on testing methods for communicating medical data to patients and providers (e.g., the risks and benefits of cancer treatment) and the development and testing of decision support interventions. Her recent work is testing the impact of patient decision aids on patient-physician communication. Additionally, she is testing multiple methods for communicating about genetic testing and infectious diseases (e.g., the Zika virus, Ebola, influenza). Her research has been funded by NCI, NIH, VA, PCORI, and the European Union. If you are a person with a disability and require an assistive device, services or other reasonable accommodations to participate in this activity, please contact the Cancer Prevention Fellowship Program at (240) 276-5626 at least one week in advance of the lecture date to discuss your accommodation needs.
Coffey, Michael; Hannigan, Ben; Meudell, Alan; Hunt, Julian; Fitzsimmons, Deb
2016-08-17
Recovery in mental health care is complex, highly individual and can be facilitated by a range of professional and non-professional support. In this study we will examine how recovery from mental health problems is promoted in non-medical settings. We hypothesise a relationship between involvement in decisions about care, social support and recovery and quality of life outcomes. We will use standardised validated instruments of involvement in decision-making, social contacts, recovery and quality of life with a random sample of people accessing non-statutory mental health social care services in Wales. We will add to this important information with detailed one to one case study interviews with people, their family members and their support workers. We will use a series of these interviews to examine how people build recovery over time to help us understand more about their involvement in decisions and the social links they build. We want to see how being involved in decisions about care and the social links people have are related to recovery and quality of life for people with experience of using mental health support services. We want to understand the different perspectives of the people involved in making recovery possible. We will use this information to guide further studies of particular types of social interventions and their use in helping recovery from mental health problems.
Davidson, Gavin; Brophy, Lisa; Campbell, Jim; Farrell, Susan J; Gooding, Piers; O'Brien, Ann-Marie
2016-01-01
There have been important recent developments in law, research, policy and practice relating to supporting people with decision-making impairments, in particular when a person's wishes and preferences are unclear or inaccessible. A driver in this respect is the United Nations Convention on the Rights of Persons with Disabilities (CRPD); the implications of the CRPD for policy and professional practices are currently debated. This article reviews and compares four legal frameworks for supported and substitute decision-making for people whose decision-making ability is impaired. In particular, it explores how these frameworks may apply to people with mental health problems. The four jurisdictions are: Ontario, Canada; Victoria, Australia; England and Wales, United Kingdom (UK); and Northern Ireland, UK. Comparisons and contrasts are made in the key areas of: the legal framework for supported and substitute decision-making; the criteria for intervention; the assessment process; the safeguards; and issues in practice. Thus Ontario has developed a relatively comprehensive, progressive and influential legal framework over the past 30 years but there remain concerns about the standardisation of decision-making ability assessments and how the laws work together. In Australia, the Victorian Law Reform Commission (2012) has recommended that the six different types of substitute decision-making under the three laws in that jurisdiction, need to be simplified, and integrated into a spectrum that includes supported decision-making. In England and Wales the Mental Capacity Act 2005 has a complex interface with mental health law. In Northern Ireland it is proposed to introduce a new Mental Capacity (Health, Welfare and Finance) Bill that will provide a unified structure for all substitute decision-making. The discussion will consider the key strengths and limitations of the approaches in each jurisdiction and identify possible ways that further progress can be made in law, policy and practice. Copyright © 2015 Elsevier Ltd. All rights reserved.
Volker, Daniëlle; Vlasveld, Moniek C; Anema, Johannes R; Beekman, Aartjan Tf; Roijen, Leona Hakkaart-van; Brouwers, Evelien Pm; van Lomwel, A Gijsbert C; van der Feltz-Cornelis, Christina M
2013-01-01
Common mental disorders (CMD) have a major impact on both society and individual workers, so return to work (RTW) is an important issue. In The Netherlands, the occupational physician plays a central role in the guidance of sick-listed workers with respect to RTW. Evidence-based guidelines are available, but seem not to be effective in improving RTW in people with CMD. An intervention supporting the occupational physician in guidance of sick-listed workers combined with specific guidance regarding RTW is needed. A blended E-health module embedded in collaborative occupational health care is now available, and comprises a decision aid supporting the occupational physician and an E-health module, Return@Work, to support sick-listed workers in the RTW process. The cost-effectiveness of this intervention will be evaluated in this study and compared with that of care as usual. This study is a two-armed cluster randomized controlled trial, with randomization done at the level of occupational physicians. Two hundred workers with CMD on sickness absence for 4-26 weeks will be included in the study. Workers whose occupational physician is allocated to the intervention group will receive the collaborative occupational health care intervention. Occupational physicians allocated to the care as usual group will give conventional sickness guidance. Follow-up assessments will be done at 3, 6, 9, and 12 months after baseline. The primary outcome is duration until RTW. The secondary outcome is severity of symptoms of CMD. An economic evaluation will be performed as part of this trial. It is hypothesized that collaborative occupational health care intervention will be more (cost)-effective than care as usual. This intervention is innovative in its combination of a decision aid by email sent to the occupational physician and an E-health module aimed at RTW for the sick-listed worker.
Rahn, A C; Köpke, S; Backhus, I; Kasper, J; Anger, K; Untiedt, B; Alegiani, A; Kleiter, I; Mühlhauser, I; Heesen, C
2018-02-01
Treatment decision-making is complex for people with multiple sclerosis. Profound information on available options is virtually not possible in regular neurologist encounters. The "nurse decision coach model" was developed to redistribute health professionals' tasks in supporting immunotreatment decision-making following the principles of informed shared decision-making. To test the feasibility of a decision coaching programme and recruitment strategies to inform the main trial. Feasibility testing and parallel pilot randomised controlled trial, accompanied by a mixed methods process evaluation. Two German multiple sclerosis university centres. People with suspected or relapsing-remitting multiple sclerosis facing immunotreatment decisions on first line drugs were recruited. Randomisation to the intervention (n = 38) or control group (n = 35) was performed on a daily basis. Quantitative and qualitative process data were collected from people with multiple sclerosis, nurses and physicians. We report on the development and piloting of the decision coaching programme. It comprises a training course for multiple sclerosis nurses and the coaching intervention. The intervention consists of up to three structured nurse-led decision coaching sessions, access to an evidence-based online information platform (DECIMS-Wiki) and a final physician consultation. After feasibility testing, a pilot randomised controlled trial was performed. People with multiple sclerosis were randomised to the intervention or control group. The latter had also access to the DECIMS-Wiki, but received otherwise care as usual. Nurses were not blinded to group assignment, while people with multiple sclerosis and physicians were. The primary outcome was 'informed choice' after six months including the sub-dimensions' risk knowledge (after 14 days), attitude concerning immunotreatment (after physician consultation), and treatment uptake (after six months). Quantitative process evaluation data were collected via questionnaires. Qualitative interviews were performed with all nurses and a convenience sample of nine people with multiple sclerosis. 116 people with multiple sclerosis fulfilled the inclusion criteria and 73 (63%) were included. Groups were comparable at baseline. Data of 51 people with multiple sclerosis (70%) were available for the primary endpoint. In the intervention group 15 of 31 (48%) people with multiple sclerosis achieved an informed choice after six months and 6 of 20 (30%) in the control group. Process evaluation data illustrated a positive response towards the coaching programme as well as good acceptance. The pilot-phase showed promising results concerning acceptability and feasibility of the intervention, which was well perceived by people with multiple sclerosis, most nurses and physicians. Delegating parts of the immunotreatment decision-making process to trained nurses has the potential to increase informed choice and participation as well as effectiveness of patient-physician consultations. Copyright © 2017 Elsevier Ltd. All rights reserved.
Factors that positively influence breastfeeding duration to 6 months: a literature review.
Meedya, Shahla; Fahy, Kathleen; Kable, Ashley
2010-12-01
What modifiable factors positively influence breastfeeding duration to 6 months postpartum? This question was posed in order to be able to develop a midwifery intervention aimed at prolonging breastfeeding. An online literature search was conducted in Medline, CINAHL, Maternity and Infant Care, and Cochrane Database of systematic reviews. The search strategy included the following keywords: breastfeeding, duration, initiation, cessation, factors, intervention, education, partner, intention, confidence, self-efficacy and support. Additional studies were located and extracted from online publications of New South Wales Department of Health, Australia. Bio-psycho-social factors that are positively associated with breastfeeding duration were identified. Modifiable factors that influence women's breastfeeding decisions are: breastfeeding intention, breastfeeding self-efficacy and social support. Existing midwifery breastfeeding promotion strategies often include social support but do not adequately address attempts to modify breastfeeding intention and self-efficacy. The modifiable factors that are positively associated with breastfeeding duration are the woman's breastfeeding intention, her breastfeeding self-efficacy and her social support. Intervention studies to date have focussed on modifying these factors individually with variable results. No interventional studies have been conducted with the aim of positively modifying all three factors simultaneously. Crown Copyright © 2010. Published by Elsevier Ltd. All rights reserved.
NASA Astrophysics Data System (ADS)
Khatri, Ayisha Al; Jens, Grundmann; der Weth Rüdiger, van; Niels, Schütze
2015-04-01
Al Batinah coastal area is the main agricultural region in Oman. Agriculture is concentrated in Al Batinah, because of more fertile soils and easier access to water in the form of groundwater compared to other administrative areas in the country. The region now is facing a problem as a result of over abstraction of fresh groundwater for irrigation from the main aquifer along the coast. This enforces the inflow of sea water into the coastal aquifer and causes salinization of the groundwater. As a consequence the groundwater becomes no longer suitable for irrigation which impacts the social and economical situation of farmers as well as the environment. Therefore, the existing situation generates conflicts between different stakeholders regarding water availability, sustainable aquifer management, and profitable agricultural production in Al Batinah region. Several management measures to maintain the groundwater aquifer in the region, were implemented by the government. However, these solutions showed only limited successes for the existing problem. The aim of this study now is to evaluate the implementation potential of several management interventions and their combinations by analysing opinions and responses of all relevant stakeholders in the region. This is done in order to identify potential conflicts among stakeholders to a participatory process within the frame of an integrated water resources management and to support decision makers in taking more informed decisions. Questionnaires were designed for collecting data from different groups of stakeholders e.g. water professionals, farmers from the study area and decision makers of different organizations and ministries. These data were analysed statistically for each group separately as well as regarding relations amongst groups by using the SPSS (Statistical Package for Social Science) software package. Results show, that the need to improve the situation is supported by all groups. However, significant differences exist between groups on how to achieve this improvement, since farmers prefer management interventions operating more on the water resources side while decision makers support measures for a better management on the water demand side. Furthermore, the opinions within single groups are sometimes contradicting for several management interventions. The use of more advanced statistical methods like discriminant analysis or Bayesian network allow for identifying factors and drivers to explain these differences. Both approaches, will help to understand stakeholder's behaviours and to evaluate the implementation potential of several management interventions. Keywords IWRM, Stakeholder participation, field survey, statistical analysis, Oman
Ritrovato, Matteo; Faggiano, Francesco C; Tedesco, Giorgia; Derrico, Pietro
2015-06-01
This article outlines the Decision-Oriented Health Technology Assessment: a new implementation of the European network for Health Technology Assessment Core Model, integrating the multicriteria decision-making analysis by using the analytic hierarchy process to introduce a standardized methodological approach as a valued and shared tool to support health care decision making within a hospital. Following the Core Model as guidance (European network for Health Technology Assessment. HTA core model for medical and surgical interventions. Available from: http://www.eunethta.eu/outputs/hta-core-model-medical-and-surgical-interventions-10r. [Accessed May 27, 2014]), it is possible to apply the analytic hierarchy process to break down a problem into its constituent parts and identify priorities (i.e., assigning a weight to each part) in a hierarchical structure. Thus, it quantitatively compares the importance of multiple criteria in assessing health technologies and how the alternative technologies perform in satisfying these criteria. The verbal ratings are translated into a quantitative form by using the Saaty scale (Saaty TL. Decision making with the analytic hierarchy process. Int J Serv Sci 2008;1:83-98). An eigenvectors analysis is used for deriving the weights' systems (i.e., local and global weights' system) that reflect the importance assigned to the criteria and the priorities related to the performance of the alternative technologies. Compared with the Core Model, this methodological approach supplies a more timely as well as contextualized evidence for a specific technology, making it possible to obtain data that are more relevant and easier to interpret, and therefore more useful for decision makers to make investment choices with greater awareness. We reached the conclusion that although there may be scope for improvement, this implementation is a step forward toward the goal of building a "solid bridge" between the scientific evidence and the final decision maker's choice. Copyright © 2015 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
Li, Lingsheng; Nelson, Judith E; Hanson, Laura C; Cox, Christopher E; Carson, Shannon S; Chai, Emily J; Keller, Kristine L; Tulsky, James A; Danis, Marion
2018-05-01
Family members commonly make medical decision for patients with chronic critical illness. This study examines how family members approach this decision-making role in real time. Qualitative analysis of interviews with family members in the intervention arm of a randomized controlled communication trial. Medical ICUs at four U.S. hospitals. Family members of patients with chronic critical illness (adults mechanically ventilated for ≥ 7 d and expected to remain ventilated and survive for ≥ 72 hr) who participated in the active arm of a communication intervention study. Family members participated in at least two content-guided, informational, and emotional support meetings led by a palliative care physician and nurse practitioner. Grounded theory was used for qualitative analysis of 66 audio recordings of meetings with 51 family members. Family members perceived their role in four main ways: voice of the patient, advocate for the patient, advocate for others, and advocate for oneself. Their decision-making was characterized by balancing goals, sharing their role, keeping perspective, remembering previous experiences, finding sources of strength, and coping with various burdens. Family members take a multifaceted approach as they participate in decision-making. Understanding how surrogates perceive and act in their roles may facilitate shared decision-making among clinicians and families during critical care.
Goodell, Parker B; Bauer, Andrea S; Sierra, Francisco J A; James, Michelle A
2016-09-01
Background: Symbrachydactyly is a unilateral congenital hand malformation characterized by failure of formation of fingers and the presence of rudimentary digit nubbins. The management is variable and are investigated in this review. Methods: A detailed review of the literature was compiled into succinct clinically relevant categories. Results: Etiology, classification, non-surgical management, surgical intervention, and patient oriented outcomes are discussed. Conclusions: All interventions should prioritize realistic, evidence-supported appearance and functional gains. Studies of the baseline function and quality of life of children with symbrachydactyly would allow surgeons to better understand functional changes associated with various interventions and would help surgeons and parents to make the best treatment decisions.
Folden, S L
1993-01-01
The purpose of this study was to test the effects of an individually focused, guided decision-making intervention on individuals' perception of self-care ability following a stroke. A convenience sample of 68 individuals participating in four stroke rehabilitation programs in southeast Florida participated in the study. A quasi-experimental design using a pretest and a posttest was implemented. Findings indicated the potential effectiveness of this intervention in significantly increasing individuals' perceptions of their self-care ability after a stroke. Implications for practice and future research are discussed.
A Systematic Review of the Economic Evidence for Home Support Interventions in Dementia.
Clarkson, Paul; Davies, Linda; Jasper, Rowan; Loynes, Niklas; Challis, David
2017-09-01
Recent evidence signals the need for effective forms of home support to people with dementia and their carers. The cost-effectiveness evidence of different approaches to support is scant. To appraise economic evidence on the cost-effectiveness of home support interventions for dementia to inform future evaluation. A systematic literature review of full and partial economic evaluations was performed using the British National Health Service Economic Evaluation Database supplemented by additional references. Study characteristics and findings, including incremental cost-effectiveness ratios, when available, were summarized narratively. Study quality was appraised using the National Health Service Economic Evaluation Database critical appraisal criteria and independent ratings, agreed by two reviewers. Studies were located on a permutation matrix describing their mix of incremental costs/effects to aid decision making. Of the 151 articles retrieved, 14 studies met the inclusion criteria: 8 concerning support to people with dementia and 6 to carers. Five studies were incremental cost-utility analyses, seven were cost-effectiveness analyses, and two were cost consequences analyses. Five studies expressed incremental cost-effectiveness ratios as cost per quality-adjusted life-year (£6,696-£207,942 per quality-adjusted life-year). In four studies, interventions were dominant over usual care. Two interventions were more costly but more beneficial and were favorable against current acceptability thresholds. Occupational therapy, home-based exercise, and a carers' coping intervention emerged as cost-effective approaches for which there was better evidence. These interventions used environmental modifications, behavior management, physical activity, and emotional support as active components. More robust evidence is needed to judge the value of these and other interventions across the dementia care pathway. Copyright © 2017 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
Patient decision making among older individuals with cancer.
Strohschein, Fay J; Bergman, Howard; Carnevale, Franco A; Loiselle, Carmen G
2011-07-01
Patient decision making is an area of increasing inquiry. For older individuals experiencing cancer, variations in health and functional status, physiologic aspects of aging, and tension between quality and quantity of life present unique challenges to treatment-related decision making. We used the pragmatic utility method to analyze the concept of patient decision making in the context of older individuals with cancer. We first evaluated its maturity in existing literature and then posed analytical questions to clarify aspects found to be only partially mature. In this context, we found patient decision making to be an ongoing process, changing with time, reflecting individual and relational components, as well as analytical and emotional ones. Assumptions frequently associated with patient decision making were not consistent with the empirical literature. Careful attention to the multifaceted components of patient decision making among older individuals with cancer provides guidance for research, supportive interventions, and targeted follow-up care.
Zielstorff, R D; Estey, G; Vickery, A; Hamilton, G; Fitzmaurice, J B; Barnett, G O
1997-01-01
A decision support system for prevention and management of pressure ulcers was developed based on AHCPR guidelines and other sources. The system was implemented for 21 weeks on a 20-bed clinical care unit. Fifteen nurses on that unit volunteered as subjects of the intervention to see whether use of the system would have a positive effect on their knowledge about pressure ulcers and on their decision-making skills related to this topic. A similar care unit was used as a control. In addition, the system was evaluated by experts for its instructional adequacy, and by end users for their satisfaction with the system. Preliminary results show no effect on knowledge about pressure ulcers and no effect on clinical decision making skills. The system was rated positively for instructional adequacy, and positively for user satisfaction. User interviews related to satisfaction supplemented the quantitative findings. A discussion of the issues of conducting experiments like this in today's clinical environment is included.
Watson, Alan; Martin, Steve; Christensen, Neal; Fauth, Gregg; Williams, Dan
2015-09-01
In a recent national survey of federal wilderness managers, respondents identified the high priority need for scientific information about public attitudes toward biophysical intervention to adapt to climate change and attitudes of the public toward restoration of natural conditions. In a survey of visitors to one National Park wilderness in California, visitors revealed that they largely do not support biophysical intervention in wilderness to mitigate the effects of climate change, but broad support for activities that restore natural conditions exists. In an attempt to understand how these attitudes vary among visitors, it was found that those visitors who most value naturalness aspects of wilderness character also most positively support restoration and are most negative toward climate change intervention practices. More information about visitor-defined wilderness character attributes is needed and strategic planning to guide intervention decisions and restoration should be a priority. In this study, it was found that wilderness character is largely defined by visitors based on its wildness attributes, which include natural sounds, low density of people, pure water, clean air, and the presence of humans substantially unnoticeable.
NASA Astrophysics Data System (ADS)
Watson, Alan; Martin, Steve; Christensen, Neal; Fauth, Gregg; Williams, Dan
2015-09-01
In a recent national survey of federal wilderness managers, respondents identified the high priority need for scientific information about public attitudes toward biophysical intervention to adapt to climate change and attitudes of the public toward restoration of natural conditions. In a survey of visitors to one National Park wilderness in California, visitors revealed that they largely do not support biophysical intervention in wilderness to mitigate the effects of climate change, but broad support for activities that restore natural conditions exists. In an attempt to understand how these attitudes vary among visitors, it was found that those visitors who most value naturalness aspects of wilderness character also most positively support restoration and are most negative toward climate change intervention practices. More information about visitor-defined wilderness character attributes is needed and strategic planning to guide intervention decisions and restoration should be a priority. In this study, it was found that wilderness character is largely defined by visitors based on its wildness attributes, which include natural sounds, low density of people, pure water, clean air, and the presence of humans substantially unnoticeable.
Maycock, Bruce R; Scott, Jane A; Hauck, Yvonne L; Burns, Sharyn K; Robinson, Suzanne; Giglia, Roslyn; Jorgensen, Anita; White, Becky; Harries, Annegrete; Dhaliwal, Satvinder; Howat, Peter A; Binns, Colin W
2015-08-01
Very few Australian infants are exclusively breastfed to 6 months as recommended by the World Health Organization. There is strong empirical evidence that fathers have a major impact on their partner's decision to breastfeed and continuation of breastfeeding. Fathers want to participate in the breastfeeding decision making process and to know how they can support their partner to achieve their breastfeeding goals. The aim of the Parent Infant Feeding Initiative (PIFI) is to evaluate the effect on duration of any and exclusive breastfeeding of three breastfeeding promotion interventions of differing intensity and duration, targeted at couples but channelled through the male partner. The study will also undertake a cost-effectiveness evaluation of the interventions. The PIFI study is a factorial randomised controlled trial. Participants will be mothers and their male partners attending antenatal classes at selected public and private hospitals with maternity departments in Perth, Western Australia. Fathers will be randomly allocated to either the usual care control group (CG), one of two medium intensity (MI1 and MI2) interventions, or a high intensity (HI) intervention. MI1 will include a specialised antenatal breastfeeding education session for fathers with supporting print materials. MI2 will involve the delivery of an antenatal and postnatal social support intervention delivered via a smartphone application and HI will include both the specialised antenatal class and the social support intervention. Outcome data will be collected from couples at baseline and at six and 26 weeks postnatally. A total of 1600 couples will be recruited. This takes into account a 25% attrition rate, and will detect at least a 10% difference in the proportion of mothers breastfeeding between any two of the groups at 26 weeks at 80% power and 5% level of significance, using a Log-rank survival test. Multivariable survival and logistic regression analyses will be used to assess the effect of the treatment groups on the outcomes after adjusting for covariates. The PIFI study will be the first Australian study to provide Level II evidence of the impact on breastfeeding duration of a comprehensive, multi-level, male-partner-focused breastfeeding intervention. Unique features of the intervention include its large sample size, delivery of two of the interventions by mobile device technology, a rigorous assessment of intervention fidelity and a cost-effectiveness evaluation. Australian New Zealand Clinical Trials Registry ACTRN12614000605695. Registered 6 June 2014.
Ryan, Rebecca; Santesso, Nancy; Hill, Sophie; Lowe, Dianne; Kaufman, Caroline; Grimshaw, Jeremy
2011-05-11
Numerous systematic reviews exist on interventions to improve consumers' medicines use, but this research is distributed across diseases, populations and settings. The scope and focus of reviews on consumers' medicines use also varies widely. Such differences create challenges for decision makers seeking review-level evidence to inform decisions about medicines use. To synthesise the evidence from systematic reviews on the effects of interventions which target healthcare consumers to promote evidence-based prescribing for, and medicines use, by consumers. We sought evidence on the effects on health and other outcomes for healthcare consumers, professionals and services. We included systematic reviews published on the Cochrane Database of Systematic Reviews and the Database of Abstracts of Reviews of Effects. We identified relevant reviews by handsearching both databases from start date to Issue 3 2008. We screened and ranked reviews based on relevance to consumers' medicines use, using criteria developed for this overview. Standardised forms were used to extract data, and reviews were assessed for methodological quality using the AMSTAR instrument. We used standardised language to summarise results within and across reviews; and a further synthesis step was used to give bottom-line statements about intervention effectiveness. Two review authors selected reviews, extracted and analysed data. We used a taxonomy of interventions to categorise reviews. We included 37 reviews (18 Cochrane, 19 non-Cochrane), of varied methodological quality.Reviews assessed interventions with diverse aims including support for behaviour change, risk minimisation, skills acquisition and information provision. No reviews aimed to promote systems-level consumer participation in medicines-related activities. Medicines adherence was the most commonly reported outcome, but others such as clinical (health and wellbeing), service use and knowledge outcomes were also reported. Reviews rarely reported adverse events or harms, and the evidence was sparse for several populations, including children and young people, carers, and people with multimorbidity.Promising interventions to improve adherence and other key medicines use outcomes (eg adverse events, knowledge) included self-monitoring and self-management, simplified dosing and interventions directly involving pharmacists. Other strategies showed promise in relation to adherence but their effects were less consistent. These included reminders; education combined with self-management skills training, counselling or support; financial incentives; and lay health worker interventions.No interventions were effective to improve all medicines use outcomes across all diseases, populations or settings. For some interventions, such as information or education provided alone, the evidence suggests ineffectiveness; for many others there is insufficient evidence to determine effects on medicines use outcomes. Systematically assembling the evidence across reviews allows identification of effective or promising interventions to improve consumers' medicines use, as well as those for which the evidence indicates ineffectiveness or uncertainty.Decision makers faced with implementing interventions to improve consumers' medicines use can use this overview to inform these decisions and also to consider the range of interventions available; while researchers and funders can use this overview to determine where research is needed. However, the limitations of the literature relating to the lack of evidence for important outcomes and specific populations, such as people with multimorbidity, should also be considered.
Wellander, Lisa; Wells, Michael B; Feldman, Inna
2016-06-01
In Sweden, the local government is responsible for funding schools in their district. One funding initiative is for schools to provide students with mental health problems with additional support via extra teachers, personal assistants, and special education classes. There are evidence-based preventive interventions delivered in schools, which have been shown to decrease the levels of students' mental health problems. However, little is known about how much the local government currently spends on students' mental health support and if evidence-based interventions could be financially beneficial. The aim of this study was to estimate the costs of providing additional support for students' mental health problems and the potential cost-offsets, defined as reduced school-based additional support, if two evidence-based school interventions targeting children's mental health problems were implemented in routine practice. This study uses data on the additional support students with mental health problems received in schools. Data was collected from one school district for students aged 6 to 16 years. We modeled two Swedish school interventions, Comet for Teachers and Social and Emotional Training (SET), which both had evidence of reducing mental health problems. We used a cost-offset analysis framework, assuming both interventions were fully implemented throughout the whole school district. Based on the published studies, the expected effects and the costs of the interventions were calculated. We defined the cost-offsets as the amount of predicted averted additional support for students with ongoing mental health problems who might no longer require receiving services such as one-on-one time with an extra teacher, a personal assistant, or to be placed in a special education classroom. A cost-offset analysis, from a payer's perspective (the local government responsible for school financing), was conducted comparing the costs of both interventions with the potential cost-savings due to a reduction in the prevalence of mental health problems and averted additional support required. The school district was comprised of 6,256 students, with 310 students receiving additional support for their mental health problems. Of these, 143 received support in their original school due to either having ADHD (n = 111), psychosocial problems (n = 26), or anxiety/depression (n = 6). The payers' total cost of additional support was 2,637,850 Euro per school year (18,447 Euro per student). The cost of running both interventions for the school district was 953,643 Euro for one year, while the potential savings for these interventions were estimated to be 627,150 Euro. The estimated effects showed that there would be a reduction of students needing additional support (25 for ADHD, eight for psychosocial problems, and one for anxiety/depression), and the payer would receive a return on their invested resources in less than two years (1.5 years) after implementation. Preventive school interventions can both improve some children's mental health problems and be financially beneficial for the payer. However, they are still limited in their scope of reducing all students' mental health statuses to below clinical cut-offs; therefore, the preventive school interventions should be used as a supplement, but not a replacement, to current practices. The findings have political and societal implications, in that payers can reallocate their funds toward preventive measures targeting students' mental health problems, while reducing the costs. When evaluating public health actions, it is necessary to consider their economic impact. The resources are scarce and the decision makers need knowledge on how to allocate their resources in an efficient way. Cost-offset analysis is seen as one way for decision makers to comprehend research findings; however, such analyses tend to not include the full benefits of the interventions, and actual impacts need to be fully evaluated in routine implementation.
African American Girls' Descriptions of Life in High-Risk Neighborhoods
ERIC Educational Resources Information Center
Kruger, Ann Cale; Zabek, Faith; Collins, Staeshe; Harper, Erin A.; Hamilton, Chela; McGee, Miriam Chitescu; Perkins, Catherine; Meyers, Joel
2016-01-01
In disadvantaged neighborhoods African American girls are at elevated risk for exposure to violence and sexualization (Miller, 2008; Salazar, Wingood, DiClemente, Lan, & Harrington, 2004). Preventive interventions can promote resilience by supporting capacities such as social decision making and self-understanding (Masten, 2001). We report on…
Data Systems and Reports as Active Participants in Data Interpretation
ERIC Educational Resources Information Center
Rankin, Jenny Grant
2016-01-01
Most data-informed decision-making in education is undermined by flawed interpretations. Educator-driven interventions to improve data use are beneficial but not omnipotent, as data misunderstandings persist at schools and school districts commended for ideal data use support. Meanwhile, most data systems and reports display figures without…
Asian Indian Students: Moving beyond Myths and Adopting Effective Practices
ERIC Educational Resources Information Center
Parikh, Sejal B.
2009-01-01
This article describes the Asian Indian population and how the myth of the model minority can influence students' access to support services. It is important for school counselors to understand how this minority group experience stressors related to academics, career decision making, and personal/social development. Effective interventions and…
Academic Achievement and School-Wide Positive Behavior Interventions and Supports
ERIC Educational Resources Information Center
Gage, Nicholas A.; Sugai, George; Lewis, Timothy J.
2013-01-01
Turning around chronically low-performing schools requires a multifaceted school-wide, systematic effort that includes strong leadership and data-based decision making. School-wide efforts to turn-around low-performing schools should address the academic, social, and behavioral needs of all students. One evidence-based, systematic school-wide…
Spatially targeted social interventions to improve BMP adoption in Maryland watersheds
USDA-ARS?s Scientific Manuscript database
The results of surveys of stakeholders knowledge and attitudes related to water resources, pollution and Best Management Practices (BMPs) are analyzed and used to develop a model of BMP adoption likelihood based on socio-economic factors. The model is integrated into a Diagnostic Decision Support Sy...
Berger, Bettina; Schwarz, Christiane; Heusser, Peter
2015-05-07
Decision-making during pregnancy regarding different options of care can be difficult, particularly when risks of intervention versus no intervention for mother and baby are unclear. Unbiased information and support for decision making may be beneficial in these situations. The management of normal pregnancies at and beyond term is an example of such a situation. In order to determine the need to develop an evidence-based decision aid this paper searches, analyses and appraises patient decision aids and patient information leaflets regarding care options in cases of late term and post-term pregnancies, including complementary and alternative medicine (CAM). A literature search was carried out in a variety of lay and medical databases. written information related to uncomplicated singleton pregnancies and targeted at lay people. Analysis and appraisal of included material by means of quality criteria was set up based on the International Patient Decision Aid Standards accounting for evidence-basing of CAM options. Inclusion of two decision aids and eleven leaflets from four decision aids and sixteen leaflets. One decision aid met the quality criteria almost completely, the other one only insufficiently despite providing some helpful information. Only one leaflet is of good quality, but cannot substitute a decision aid. There is an urgent need for the design of an evidence-based decision aid of good quality for late-term or post-term pregnancy, particularly in German language.
Hasak, Jessica M.; Myckatyn, Terence M.; Grabinski, Victoria F.; Philpott, Sydney E.; Parikh, Rajiv P.
2017-01-01
Background: Postmastectomy breast reconstruction (PMBR) is an elective, preference-sensitive decision made during a stressful, time-pressured period after a cancer diagnosis. Shared decision making (SDM) can improve decision quality about preference-sensitive choices. Stakeholders’ perspectives on ways to support PMBR decision-making were explored. Methods: Forty semi-structured interviews with stakeholders (20 postmastectomy patients, 10 PMBR surgeons, 10 PMBR nurses) were conducted. Clinicians were recruited from diverse practices across the United States. Patients were recruited using purposive sampling with varying PMBR experiences, including no reconstruction. The interview guide was based on an implementation research framework. Themes were identified using grounded theory approach, based on frequency and emotive force conveyed. Results: Engagement in SDM was variable. Some patients wanted more information about PMBR from clinicians, particularly about risks. Some clinicians acknowledged highlighting benefits and downplaying risks. Many patients felt pressured to make a choice by their clinicians. Clinicians who successfully engaged patients through decisions often used outside resources to supplement conversations. Conclusions: Patient–clinician trust was critical to high-quality decisions, and many patients expressed decision regret when they were not engaged in PMBR discussions. Patients often perceived a race- or age-related bias in clinician information sharing. Interventions to support SDM may enhance decision quality and reduce decision regret about PMBR, ultimately improving patient-centered care for women with breast cancer. PMID:29263969
Straus, Sharon E.
2008-01-01
BACKGROUND Studies indicate a gap between evidence and clinical practice in osteoporosis management. Tools that facilitate clinical decision making at the point of care are promising strategies for closing these practice gaps. OBJECTIVE To systematically review the literature to identify and describe the effectiveness of tools that support clinical decision making in osteoporosis disease management. DATA SOURCES Medline, EMBASE, CINAHL, and EBM Reviews (CDSR, DARE, CCTR, and ACP J Club), and contact with experts in the field. REVIEW METHODS Randomized controlled trials (RCTs) in any language from 1966 to July 2006 investigating disease management interventions in patients at risk for osteoporosis. Outcomes included fractures and bone mineral density (BMD) testing. Two investigators independently assessed articles for relevance and study quality, and extracted data using standardized forms. RESULTS Of 1,246 citations that were screened for relevance, 13 RCTs met the inclusion criteria. Reported study quality was generally poor. Meta-analysis was not done because of methodological and clinical heterogeneity; 77% of studies included a reminder or education as a component of their intervention. Three studies of reminders plus education targeted to physicians and patients showed increased BMD testing (RR range 1.43 to 8.67) and osteoporosis medication use (RR range 1.60 to 8.67). A physician reminder plus a patient risk assessment strategy found reduced fractures [RR 0.58, 95% confidence interval (CI) 0.37 to 0.90] and increased osteoporosis therapy (RR 2.44, CI 1.43 to 4.17). CONCLUSION Multi-component tools that are targeted to physicians and patients may be effective for supporting clinical decision making in osteoporosis disease management. Electronic supplementary material The online version of this article (doi:10.1007/s11606-008-0812-9) contains supplementary material, which is available to authorized users. PMID:18836782
OPTIMIZING USABILITY OF AN ECONOMIC DECISION SUPPORT TOOL: PROTOTYPE OF THE EQUIPT TOOL.
Cheung, Kei Long; Hiligsmann, Mickaël; Präger, Maximilian; Jones, Teresa; Józwiak-Hagymásy, Judit; Muñoz, Celia; Lester-George, Adam; Pokhrel, Subhash; López-Nicolás, Ángel; Trapero-Bertran, Marta; Evers, Silvia M A A; de Vries, Hein
2018-01-01
Economic decision-support tools can provide valuable information for tobacco control stakeholders, but their usability may impact the adoption of such tools. This study aims to illustrate a mixed-method usability evaluation of an economic decision-support tool for tobacco control, using the EQUIPT ROI tool prototype as a case study. A cross-sectional mixed methods design was used, including a heuristic evaluation, a thinking aloud approach, and a questionnaire testing and exploring the usability of the Return of Investment tool. A total of sixty-six users evaluated the tool (thinking aloud) and completed the questionnaire. For the heuristic evaluation, four experts evaluated the interface. In total twenty-one percent of the respondents perceived good usability. A total of 118 usability problems were identified, from which twenty-six problems were categorized as most severe, indicating high priority to fix them before implementation. Combining user-based and expert-based evaluation methods is recommended as these were shown to identify unique usability problems. The evaluation provides input to optimize usability of a decision-support tool, and may serve as a vantage point for other developers to conduct usability evaluations to refine similar tools before wide-scale implementation. Such studies could reduce implementation gaps by optimizing usability, enhancing in turn the research impact of such interventions.
Ellen, Moriah E; Léon, Grégory; Bouchard, Gisèle; Ouimet, Mathieu; Grimshaw, Jeremy M; Lavis, John N
2014-12-05
Mobilizing research evidence for daily decision-making is challenging for health system decision-makers. In a previous qualitative paper, we showed the current mix of supports that Canadian health-care organizations have in place and the ones that are perceived to be helpful to facilitate the use of research evidence in health system decision-making. Factors influencing the implementation of such supports remain poorly described in the literature. Identifying the barriers to and facilitators of different interventions is essential for implementation of effective, context-specific, supports for evidence-informed decision-making (EIDM) in health systems. The purpose of this study was to identify (a) barriers and facilitators to implementing supports for EIDM in Canadian health-care organizations, (b) views about emerging development of supports for EIDM, and (c) views about the priorities to bridge the gaps in the current mix of supports that these organizations have in place. This qualitative study was conducted in three types of health-care organizations (regional health authorities, hospitals, and primary care practices) in two Canadian provinces (Ontario and Quebec). Fifty-seven in-depth semi-structured telephone interviews were conducted with senior managers, library managers, and knowledge brokers from health-care organizations that have already undertaken strategic initiatives in knowledge translation. The interviews were taped, transcribed, and then analyzed thematically using NVivo 9 qualitative data analysis software. Limited resources (i.e., money or staff), time constraints, and negative attitudes (or resistance) toward change were the most frequently identified barriers to implementing supports for EIDM. Genuine interest from health system decision-makers, notably their willingness to invest money and resources and to create a knowledge translation culture over time in health-care organizations, was the most frequently identified facilitator to implementing supports for EIDM. The most frequently cited views about emerging development of supports for EIDM were implementing accessible and efficient systems to support the use of research in decision-making (e.g., documentation and reporting tools, communication tools, and decision support tools) and developing and implementing an infrastructure or position where the accountability for encouraging knowledge use lies. The most frequently stated priorities for bridging the gaps in the current mix of supports that these organizations have in place were implementing technical infrastructures to support research use and to ensure access to research evidence and establishing formal or informal ties to researchers and knowledge brokers outside the organization who can assist in EIDM. These results provide insights on the type of practical implementation imperatives involved in supporting EIDM.
Fischhoff, Baruch
2010-09-01
The study of judgment and decision making entails three interrelated forms of research: (1) normative analysis, identifying the best courses of action, given decision makers' values; (2) descriptive studies, examining actual behavior in terms comparable to the normative analyses; and (3) prescriptive interventions, helping individuals to make better choices, bridging the gap between the normative ideal and the descriptive reality. The research is grounded in analytical foundations shared by economics, psychology, philosophy, and management science. Those foundations provide a framework for accommodating affective and social factors that shape and complement the cognitive processes of decision making. The decision sciences have grown through applications requiring collaboration with subject matter experts, familiar with the substance of the choices and the opportunities for interventions. Over the past half century, the field has shifted its emphasis from predicting choices, which can be successful without theoretical insight, to understanding the processes shaping them. Those processes are often revealed through biases that suggest non-normative processes. The practical importance of these biases depends on the sensitivity of specific decisions and the support that individuals have in making them. As a result, the field offers no simple summary of individuals' competence as decision makers, but a suite of theories and methods suited to capturing these sensitivities. Copyright © 2010 John Wiley & Sons, Ltd. For further resources related to this article, please visit the WIREs website. Copyright © 2010 John Wiley & Sons, Ltd.
McCurtin, Arlene; Healy, Chiara
2017-02-01
Speech-language pathologists (SLPs) are assumed to use evidence-based practice to inform treatment decisions. However, the reasoning underpinning treatment selections is not well known. Understanding why SLPs choose the treatments they do may be clarified by exploring the reasoning tied to specific treatments such as dysphagia interventions. An electronic survey methodology was utilised. Participants were accessed via the gatekeepers of two national dysphagia special interest groups representing adult and paediatric populations. Information was elicited on the dysphagia therapies and techniques used and on the reasoning for using/not using therapies. Data was analysed using descriptive and non-parametric statistics. The survey had a 74.8% response rate (n = 116). Consensus in both treatment selections and reasoning supporting treatment decisions was evident. Three favoured interventions (texture modification, thickening liquids, positioning changes) were identified. The reasoning supporting treatment choices centred primarily on client suitability and clinician knowledge. Knowledge reflected both absent knowledge (e.g. training) and accumulated knowledge (clinical experience). Dysphagia practice appears highly-defined, being characterised by group consensus regarding both preferred treatments and the reasoning underpinning treatment selections. Treatment selections are based on two core criteria: client suitability and the SLPs experience/knowledge. Explicit scientific reasoning is less influential than practice-centric influences.
Driving in Early-Stage Alzheimer's Disease: An Integrative Review of the Literature.
Davis, Rebecca L; Ohman, Jennifer M
2017-03-01
One of the most difficult decisions for individuals with Alzheimer's disease (AD) is when to stop driving. Because driving is a fundamental activity linked to socialization, independent functioning, and well-being, making the decision to stop driving is not easy. Cognitive decline in older adults can lead to getting lost while driving, difficulty detecting and avoiding hazards, as well as increased errors while driving due to compromised judgment and difficulty in making decisions. The purpose of the current literature review was to synthesize evidence regarding how individuals with early-stage AD, their families, and providers make determinations about driving safety, interventions to increase driving safety, and methods to assist cessation and coping for individuals with early-stage AD. The evidence shows that changes in driving ability start early and progress throughout the trajectory of AD. Some individuals with mild cognitive impairment or early-stage AD may be safe to drive for a period of time. Support groups aimed at helping with the transition have been shown to be helpful for individuals who stop driving. Research and practice must support interventions to help individuals maintain safety while driving, as well as cope with driving cessation. [Res Gerontol Nurs. 2017; 10(2):86-100.]. Copyright 2016, SLACK Incorporated.
Stern, Erin; Heise, Lori; McLean, Lyndsay
2017-12-01
This paper explores two key norms that underpin intimate partner violence in Rwanda: men's roles as economic providers and decision-making authorities in the household. It describes the political, legal and socio-economic factors affecting these norms and how they create opportunities and barriers to 'undoing' restrictive gender norms. Findings are drawn from an evaluation of Inadshyikirwa, an intimate partner violence prevention programme operating in Rwanda. Across three intervention sectors, 24 focus groups were conducted with unmarried and married men and women residing in intervention communities. Thirty interviews with couples and nine interviews with opinion leaders were conducted before they completed programme training designed to shift gender norms underlying intimate partner violence. The data indicate a strong awareness of and accountability to Rwandan laws and policies supporting women's economic empowerment and decision-making, alongside persisting traditional notions of men as household heads and primary breadwinners. Transgression of these norms could be accommodated in some circumstances, especially those involving economic necessity. The data also identified increasing recognition of the value of a more equitable partnership model. Findings highlight the importance of carefully assessing cracks in the existing gender order that can be exploited to support gender equality and non-violence.
Wild, Beate; Herzog, Wolfgang; Wesche, Daniela; Niehoff, Dorothea; Müller, Beat; Hain, Bernhard
2011-05-01
The prevalence rate of mental disorders in severely obese patients appears to be high. In the Department of Psychosomatic Medicine, Heidelberg, we established a short outpatient group intervention for severely obese patients with an affective, anxiety, and/or eating disorder who either are not able to make a clear decision for an intensive weight loss program or who have already decided to undergo bariatric surgery but are advised to attend a support group before surgery. The aim of the group intervention was to reduce depressive symptoms and, in indecisive patients, to enhance the motivation of the patients for engagement in further intensive treatment programs, including bariatric surgery. Descriptive data of the first two intervention groups are provided. The treatment program and topics of the group sessions are explained. Time series analysis methods are used to investigate the development of a single patient during the intervention program. Initially, 16 patients joined the group program; ten of these attended the group therapy to completion. The remaining ten patients showed clinically relevant reduction in depression levels and improvement in mental quality of life. Results of the single-case time series analysis indicate that the temporal relationship between eating behavior and depression changed during treatment. The group program, as outlined, could be a useful intervention for severely obese patients with comorbid depression, anxiety, or eating disorder. A gap in the health care system is thus bridged by this short intervention that can encourage further treatment decisions such as bariatric surgery.
Patient engagement--what works?
Coulter, Angela
2012-01-01
The recent focus on patient engagement acknowledges that patients have an important role to play in their own health care. This includes reading, understanding and acting on health information (health literacy), working together with clinicians to select appropriate treatments or management options (shared decision making), and providing feedback on health care processes and outcomes (quality improvement). Various interventions designed to help patients play an effective role have been evaluated in trials and systematic reviews. This article outlines the evidence in support of the most promising interventions.
Interrupted Time Series Versus Statistical Process Control in Quality Improvement Projects.
Andersson Hagiwara, Magnus; Andersson Gäre, Boel; Elg, Mattias
2016-01-01
To measure the effect of quality improvement interventions, it is appropriate to use analysis methods that measure data over time. Examples of such methods include statistical process control analysis and interrupted time series with segmented regression analysis. This article compares the use of statistical process control analysis and interrupted time series with segmented regression analysis for evaluating the longitudinal effects of quality improvement interventions, using an example study on an evaluation of a computerized decision support system.
[Prevention of skin cancer: considerations on strategic communication].
Anders, M P; Baumann, E; Breitbart, E W
2014-03-01
In recent decades the numbers of cases of skin cancer have been increasing worldwide in light skinned populations. In Germany skin cancer is the most common form of cancer. To reduce the burden of skin cancer protection from ultraviolet radiation (primary prevention) and early detection (secondary prevention) of the disease play a decisive role. In this context information to the population about preventive behavior and the support of informed decision-making in skin cancer screening are important aspects in communication. This paper gives an overview about communicational aspects in the promotion of skin cancer prevention. In the development of communicational interventions it is important to identify the relevant target groups. Relevant key opinion leaders have to be included in the information process. Additionally, interventions should be based on a theoretical framework and be designed for the respective target group. Furthermore, different forms of communication and communication tools are provided for the realization of an information intervention. To appraise the intervention elements of summative and formal evaluation are available. The current results provide important findings about different effects of communicational aspects on knowledge and behavior of the population; however, due to the complexity of information interventions a particular effect cannot be explained by a single communicational element.
Nudging and Boosting: Steering or Empowering Good Decisions.
Hertwig, Ralph; Grüne-Yanoff, Till
2017-11-01
In recent years, policy makers worldwide have begun to acknowledge the potential value of insights from psychology and behavioral economics into how people make decisions. These insights can inform the design of nonregulatory and nonmonetary policy interventions-as well as more traditional fiscal and coercive measures. To date, much of the discussion of behaviorally informed approaches has emphasized "nudges," that is, interventions designed to steer people in a particular direction while preserving their freedom of choice. Yet behavioral science also provides support for a distinct kind of nonfiscal and noncoercive intervention, namely, "boosts." The objective of boosts is to foster people's competence to make their own choices-that is, to exercise their own agency. Building on this distinction, we further elaborate on how boosts are conceptually distinct from nudges: The two kinds of interventions differ with respect to (a) their immediate intervention targets, (b) their roots in different research programs, (c) the causal pathways through which they affect behavior, (d) their assumptions about human cognitive architecture, (e) the reversibility of their effects, (f) their programmatic ambitions, and (g) their normative implications. We discuss each of these dimensions, provide an initial taxonomy of boosts, and address some possible misconceptions.
On acquiring decision making skills for endovascular interventions.
Lanzer, Peter; Prechelt, Lutz
2008-11-01
To improve interventional training we propose a staged rational approach for decision making and skill acquisition. Education and training for endovascular interventions should start to develop the learners' decision-making skills by learning from explicit representations of master interventionist's tacit decision-making knowledge through implementation of the notions of generic interventional modules, interventional strategic and tactical designs. We hope that these suggestions will encourage action, stimulate dialogue and advance the precision of our learning, procedures, practice and patient care.
Probst, Marc A; Dayan, Peter S; Raja, Ali S; Slovis, Benjamin H; Yadav, Kabir; Lam, Samuel H; Shapiro, Jason S; Farris, Coreen; Babcock, Charlene I; Griffey, Richard T; Robey, Thomas E; Fortin, Emily M; Johnson, Jamlik O; Chong, Suzanne T; Davenport, Moira; Grigat, Daniel W; Lang, Eddy L
2015-12-01
Researchers have attempted to optimize imaging utilization by describing which clinical variables are more predictive of acute disease and, conversely, what combination of variables can obviate the need for imaging. These results are then used to develop evidence-based clinical pathways, clinical decision instruments, and clinical practice guidelines. Despite the validation of these results in subsequent studies, with some demonstrating improved outcomes, their actual use is often limited. This article outlines a research agenda to promote the dissemination and implementation (also known as knowledge translation) of evidence-based interventions for emergency department (ED) imaging, i.e., clinical pathways, clinical decision instruments, and clinical practice guidelines. We convened a multidisciplinary group of stakeholders and held online and telephone discussions over a 6-month period culminating in an in-person meeting at the 2015 Academic Emergency Medicine consensus conference. We identified the following four overarching research questions: 1) what determinants (barriers and facilitators) influence emergency physicians' use of evidence-based interventions when ordering imaging in the ED; 2) what implementation strategies at the institutional level can improve the use of evidence-based interventions for ED imaging; 3) what interventions at the health care policy level can facilitate the adoption of evidence-based interventions for ED imaging; and 4) how can health information technology, including electronic health records, clinical decision support, and health information exchanges, be used to increase awareness, use, and adherence to evidence-based interventions for ED imaging? Advancing research that addresses these questions will provide valuable information as to how we can use evidence-based interventions to optimize imaging utilization and ultimately improve patient care. © 2015 by the Society for Academic Emergency Medicine.
Return to Work After Lumbar Microdiscectomy - Personalizing Approach Through Predictive Modeling.
Papić, Monika; Brdar, Sanja; Papić, Vladimir; Lončar-Turukalo, Tatjana
2016-01-01
Lumbar disc herniation (LDH) is the most common disease among working population requiring surgical intervention. This study aims to predict the return to work after operative treatment of LDH based on the observational study including 153 patients. The classification problem was approached using decision trees (DT), support vector machines (SVM) and multilayer perception (MLP) combined with RELIEF algorithm for feature selection. MLP provided best recall of 0.86 for the class of patients not returning to work, which combined with the selected features enables early identification and personalized targeted interventions towards subjects at risk of prolonged disability. The predictive modeling indicated at the most decisive risk factors in prolongation of work absence: psychosocial factors, mobility of the spine and structural changes of facet joints and professional factors including standing, sitting and microclimate.
NASA Astrophysics Data System (ADS)
Steinberg, N.
2017-12-01
There is considerable interest in overlaying climate projections with social vulnerability maps as a mechanism for targeting community adaptation efforts. Yet the identification of relevant factors for adaptation- and resilience-based decisions remain a challenge. Our findings show that successful adaptation interventions are more likely when factors are grouped and spatially represented. By designing a decision-support tool that is focused on informing long-term planning to mitigate the public health impacts of extreme heat, communities can more easily integrate climate, land use, and population characteristics into local planning processes. The ability to compare risks and potential health impacts across census tracts may also position local practitioners to leverage scarce resources. This presentation will discuss the information gaps identified by planners and public health practitioners throughout California and illustrate the spatial variations of key health risk factors.
Pore, Meenal; Sengeh, David M.; Mugambi, Purity; Purswani, Nuri V.; Sesay, Tom; Arnold, Anna Lena; Tran, Anh-Minh A.; Myers, Ralph
2017-01-01
During the 2014 West African Ebola Virus outbreak it became apparent that the initial response to the outbreak was hampered by limitations in the collection, aggregation, analysis and use of data for intervention planning. As part of the post-Ebola recovery phase, IBM Research Africa partnered with the Port Loko District Health Management Team (DHMT) in Sierra Leone and GOAL Global, to design, implement and deploy a web-based decision support tool for district-level disease surveillance. This paper discusses the design process and the functionality of the first version of the system. The paper presents evaluation results prior to a pilot deployment and identifies features for future iterations. A qualitative assessment of the tool prior to pilot deployment indicates that it improves the timeliness and ease of using data for making decisions at the DHMT level. PMID:29854209
Reproductive decision-making among postpartum HIV-infected women in rural South Africa.
Jones, Deborah L; Rodriguez, Violeta J; Babayigit, Suat; Chahine, Antonio; Weiss, Stephen M; Peltzer, Karl
2018-01-01
Despite pregnancy spacing recommendations to optimize health outcomes among mothers and neonates, unplanned pregnancy in sub-Saharan Africa is common among women living with human immunodeficiency virus (HIV) (WLHIV). This study examined factors associated with reproductive decision-making among WLHIV to inform pregnancy-planning interventions. WLHIV in rural South Africa (n = 165) were assessed at 12 months postpartum. The relative importance of factors associated with reproductive decision-making was estimated. Women were a mean of 28 years old (SD = 5.71). Risk of mother-to-child transmission (MTCT) of HIV (Mean = 0.43; SD = 0.33) had the greatest impact on decision-making, followed by partners' desires (M = 0.22; SD = 0.18), family preferences (M = 0.18; SD = 0.13), and community opinion (M = 0.17; SD = 0.13). MTCT was most important to women with greater HIV knowledge. However, WLHIV who had been diagnosed with HIV for a longer time placed more emphasis on partner preference and community opinion, and less importance on MTCT risk. Prevention of mother-to-child transmission (PMTCT) was less important to women experiencing intimate partner violence and those with depression. Findings highlight the need for tailored, focused interventions to support the unique circumstances of WLHIV and support the inclusion of families and/or partners in the counseling process. Results underscore the need for perinatal preconception counseling for women during routine HIV care.
Flachskampf, F A
2002-03-01
The concept of evidence-based medicine has gathered widespread support during recent years. While this concept has clear merits in compiling and qualifying up-to-date information for clinical decisions, it should be viewed with caution as the sole valid knowledge source for clinical decision-making. The limitations of such an approach are particularly striking when reviewing two key developments in modern cardiology, fibrinolysis and acute percutaneous intervention in acute myocardial infarction. In both cases, early studies and meta-analyses showed no benefit for these therapeutic interventions over earlier treatment. Only after further refinement (mainly in dosage, time window, concomitant heparin therapy for fibrinolysis, and the introduction of stents and IIb/IIIa inhibitors for acute intervention) did these therapies become universally acknowledged. It is therefore crucial to understand that especially for physicians actively participating in the development of a clinical field clinical decisions cannot be exclusively based on published evidence. Another important problem to consider is the time gap between the emergence of new therapies and the publication and reception by the medical audience, in particular in rapidly evolving fields as cardiology. While it is clear that clinical decision-making must be backed by solid knowledge of the published evidence, in particular the specialist involved in-depth in the field may use not yet proven therapeutic concepts and measures to the patient's advantage.
Decisions about weight management: a synthesis of qualitative studies of obesity.
Brown, I; Gould, J
2011-04-01
There is a high non-attendance and dropout attrition from weight management interventions for adults with obesity. Patient dissatisfaction with consultations involving decisions about interventions may be a factor. A systematic review was undertaken of qualitative studies reporting perceptions, experiences, contexts and influences for adults facing, or reflecting on, weight management. The aim was to synthesize a generic model of influences on decision-making about weight management for adult patients. Electronic database and hand searches identified 29 qualitative studies involving 1387 participants (mean age 45.3 years; mean BMI 37.1 kg m(-2) ; 79.9% women). Seven overarching themes were inductively derived from extracted data spanning: cultural identity; social structures such as gender; responses to obesity stigma; previous weight loss experiences; personal motivators and barriers; social support; and practical resources. A model is presented in the paper. Improving decisions about weight management requires attention to how diffuse cultural and psycho-social factors, such as obesity stigma, influence patient choices. Reflection on experiences of previous attempts at weight loss is also essential, as are practical resource factors - particularly for less affluent groups. Considering these factors along with more established theories of individual psychological motivations and barriers may help to improve initial participation and retention within interventions. © 2011 The Authors. Clinical Obesity © 2011 International Association for the Study of Obesity.
Garbacz, S Andrew; Hirano, Kara; McIntosh, Kent; Eagle, John W; Minch, Devon; Vatland, Christopher
2017-11-20
The purpose of this study was to identify barriers and facilitators to family engagement in schools implementing schoolwide positive behavioral interventions and supports (PBIS). Participants consisted of 1 representative member each from 204 school PBIS teams across 3 states. Qualitative analysis guided examination of responses to 1 question regarding barriers and 2 questions about facilitators to family engagement. Survey respondents identified key barriers to family engagement as a lack of resources, inconsistent communication, and reluctance of families and school staff to partner. Specified facilitators included communication, PBIS, shared decision-making, and strategies to build relationships with families. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Horvath, Keith J; Bauermeister, José A
2017-02-01
We assessed whether young men who have sex with men's acceptability with the online Get Connected! intervention and subsequent sexual health decision making were influenced by their baseline eHealth literacy (high vs. low competency) and intervention tailoring (tailored or nontailored intervention condition). Compared to the high eHealth literacy/tailored intervention group: (1) those in the low eHealth literacy/tailored intervention condition and participants in the nontailored intervention condition (regardless of eHealth literacy score) reported lower intervention information quality scores; and (2) those in the low eHealth literacy/nontailored intervention group reported lower intervention system quality scores and that the intervention had less influence on their sexual health decision making. Future similar intervention research should consider how eHealth literacy might influence participants' abilities to navigate intervention content and integrate it into their sexual decision making.
Elmusharaf, Khalifa; Byrne, Elaine; O'Donovan, Diarmuid
2015-09-08
Universal health access will not be achieved unless women are cared for in their own communities and are empowered to take decisions about their own health in a supportive environment. This will only be achieved by community-based demand side interventions for maternal health access. In this review article, we highlight three common strategies to increase demand-side barriers to maternal healthcare access and identify the main challenges that still need to be addressed for these strategies to be effective. Common demand side strategies can be grouped into three categories:(i) Financial incentives/subsidies; (ii) Enhancing patient transfer, and; (iii) Community involvement. The main challenges in assessing the effectiveness or efficacy of these interventions or strategies are the lack of quality evidence on their outcome and impact and interventions not integrated into existing health or community systems. However, what is highlighted in this review and overlooked in most of the published literature on this topic is the lack of knowledge about the context in which these strategies are to be implemented. We suggest three challenges that need to be addressed to create a supportive environment in which these demand-side strategies can effectively improve access to maternal health services. These include: addressing decision-making norms, engaging in intergenerational dialogue, and designing contextually appropriate communication strategies.
Interventions for promoting participation in shared decision-making for children with cancer.
Coyne, Imelda; O'Mathúna, Dónal P; Gibson, Faith; Shields, Linda; Leclercq, Edith; Sheaf, Greg
2016-11-29
This is an update of the Cochrane systematic review of shared decision-making (SMD) making published in 2013. Children's rights to have their views heard in matters that affect their lives are now well established since the publication of the UN Convention treaty (1989). Children with cancer generally prefer to be involved in decision-making and consider it important that they have the opportunity to take part in decision-making concerning their health care, even in end-of-life decisions. There is considerable support for involving children in healthcare decision-making at a level commensurate with their experience, age and abilities. Thus, healthcare professionals and parents need to know how they should involve children in decision-making and what interventions are most effective in promoting SDM for children with cancer. To examine the effects of SDM interventions on the process of SDM for children with cancer who are aged four to 18 years. We searched the following sources for the review: Cochrane Central Register of Controlled Studies (CENTRAL) (the Cochrane Library 2016, Issue 1); PubMed (NLM) (1946 to February 2016); Embase (Ovid) (1974 to February 2016); CINAHL (EBSCO) (1982 to February 2016); ERIC (ProQuest) (1966 to February 2016); PsycINFO (EBSCO) (1806 to February 2016); BIOSIS (Thomson Reuters) (1980 to December 2009 - subscription ceased at that date); ProQuest Dissertations and Theses (1637 to February 2016); and Sociological Abstracts (ProQuest) (1952 to February 2016). In addition we searched the reference lists of relevant articles and review articles and the following conference proceedings (2005 up to and including 2015): American Academy on Communication in Healthcare (AACH), European Society for Medical Oncology (ESMO), European CanCer Organisation (ECCO), European Association for Communication in Healthcare (EACH), International Conference on Communication in Healthcare (ICCH), International Shared Decision Making Conference (ISDM), Annual Conference of the International Society for Paediatric Oncology (SIOP) and Annual Scientific Meeting of the Society for Medical Decision Making (SMDM). We scanned the ISRCTN (International Standard Randomised Controlled Trial Number) register and the National Institutes of Health (NIH) Register for ongoing trials on 29 February 2016. For this update, we included randomised controlled trials (RCTs) and controlled clinical trials (CCTs) of SDM interventions for children with cancer aged four to 18 years. The types of decisions included were: treatment, health care and research participation decisions. The primary outcome was SDM as measured with any validated scale. Two review authors undertook the searches, and three review authors independently assessed the studies obtained. We contacted study authors for additional information. No studies met the inclusion criteria, and hence no analysis could be undertaken. No conclusions can be made on the effects of interventions to promote SDM for children with cancer aged four to 18 years. This review has highlighted the dearth of high-quality quantitative research on interventions to promote participation in SDM for children with cancer. There are many potential reasons for the lack of SDM intervention studies with children. Attitudes towards children's participation are slowly changing in society and such changes may take time to be translated or adopted in healthcare settings. The priority may be on developing interventions that promote children's participation in communication interactions since information-sharing is a prerequisite for SDM. Restricting this review to RCTs was a limitation and extending the review to non-randomised studies (NRS) may have produced more evidence. For this update, we included only RCTs and CCTs. Clearly more research is needed.
Caplinger, Christina; Smith, Garret; Remington, Richard; Madaras-Kelly, Karl
2016-01-01
Allergies to β-lactam antibiotics are commonly documented in hospitalized patients; however, true allergy is uncommon. Cross-reactivity rates for advanced generation cephalosporins and carbapenems are low; particularly for patients without a history of symptoms consistent with type 1 hypersensitivity. We observed that providers preferentially prescribed antipseudomonal carbapenems (APC) over advanced generation cephalosporins for patients with β-lactam allergy history, including those with low risk for antimicrobial-resistant infections. Information was inserted into the computerized decision support system (CDSS) to aid clinicians in assessing β-lactam cross-reactivity risk and selecting appropriate therapy. A retrospective evaluation was conducted in a small hospital to assess the impact of the CDSS changes in APC prescribing. Inpatients (n = 68) who received at least one APC dose during hospitalization over a 13 month pre-intervention period were compared to inpatients who received an APC during the 15 month post-intervention period (n = 59) for documented APC indications and β-lactam allergy history. APC initiations were measured and corrected per 1000 patient-days; interrupted time-series analysis was performed to assess changes in use before and after implementation. Aggregate monthly APC initiations decreased from 7.01 to 6.14 per 1000 patient-days after the implementation (p = 0.03). Post-intervention APC initiations for patients with low-risk β-lactam histories decreased from 92% to 83% (p = 0.17). No adverse events were observed in patients with low-risk β-lactam histories. The intervention was associated with a reduction in APC initiations. PMID:27025522
Eaton, Kevin P; Chida, Natasha; Apfel, Ariella; Feldman, Leonard; Greenbaum, Adena; Tuddenham, Susan; Kendall, Emily A; Pahwa, Amit
2018-06-01
The near-universal prevalence of electronic health records (EHRs) has made the utilization of clinical decision support systems (CDSS) an integral strategy for improving the value of laboratory ordering. Few studies have examined the effectiveness of nonintrusive CDSS on inpatient laboratory utilization in large academic centres. Red blood cell folate, hepatitis C virus viral loads and genotypes, and type and screens were selected for study. We incorporated the appropriate indications for these labs into text that accompanied the laboratory orders in our hospital's EHR. Providers could proceed with the order without additional clicks. An interrupted time-series analysis was performed, and the primary outcome was the rate of tests ordered on all inpatient medicine floors. The rate of folate tests ordered per monthly admissions showed no significant level change at the time of the intervention with only a slight decrease in rate of 0.0109 (P = .07). There was a 43% decrease in the rate of hepatitis C virus tests per monthly admissions immediately after the intervention with a decrease of 0.0135 tests per monthly admissions (P = .02). The rate of type and screens orders per patient days each month had a significant downward trend by 0.114 before the intervention (P = .04) but no significant level change at the time of the intervention or significant change in rate after the intervention. Our study suggests that nonintrusive CDSS should be evaluated for individual laboratory tests to ensure only effective alerts continue to be used so as to avoid increasing EHR fatigue. © 2018 John Wiley & Sons, Ltd.
Quality of life in elders living alone in Taiwan.
Lin, Pao-Chen; Yen, Miaofen; Fetzer, Susan Jane
2008-06-01
The aim of this study was to identify and describe predictors of QOL of elders who live alone in Taiwan. Despite a growing population of elders who live alone, research on their quality of life, important for policy decisions and health care provider interventions is virtually absent. A descriptive correlational design surveyed 192 Taiwanese elders living alone, selected at random from urban and rural areas. During home visits elders completed the WHO-QOL-BREF, Social Support Scale and Center for Epidemiological Studies Depression Scale (CES-D) in addition to providing demographic data. Multiple linear regressions showed that six variables predicted physical health and the psychological wellbeing QOL domains, accounting for 74.5 and 60.1% of the variance, respectively. Four variables predicted 46.7 and 34.3% of the environmental and the social relationship QOL domains, respectively. Elders who live alone in rural areas and suffer from depression are at high risk for a low quality of life. However, elders living alone reported a better quality of life than their institutionalized counterparts. Interventional research and policy decisions focused on treatment for depression and providing social support networks, as these elders age, will be particularly important. By understanding variables associated with elders' quality of life, nurses can coordinate interventions to improve their quality of life. Poorly educated rural women who live alone are particularly vulnerable. Nursing assessment of quality of life indicators and implementation of strategies for increased social support are needed for high-risk elders.
Ernecoff, Natalie C; Witteman, Holly O; Chon, Kristen; Chen, Yanquan Iris; Buddadhumaruk, Praewpannarai; Chiarchiaro, Jared; Shotsberger, Kaitlin J; Shields, Anne-Marie; Myers, Brad A; Hough, Catherine L; Carson, Shannon S; Lo, Bernard; Matthay, Michael A; Anderson, Wendy G; Peterson, Michael W; Steingrub, Jay S; Arnold, Robert M; White, Douglas B
2016-06-01
Although barriers to shared decision making in intensive care units are well documented, there are currently no easily scaled interventions to overcome these problems. We sought to assess stakeholders' perceptions of the acceptability, usefulness, and design suggestions for a tablet-based tool to support communication and shared decision making in ICUs. We conducted in-depth semi-structured interviews with 58 key stakeholders (30 surrogates and 28 ICU care providers). Interviews explored stakeholders' perceptions about the acceptability of a tablet-based tool to support communication and shared decision making, including the usefulness of modules focused on orienting families to the ICU, educating them about the surrogate's role, completing a question prompt list, eliciting patient values, educating about treatment options, eliciting perceptions about prognosis, and providing psychosocial support resources. The interviewer also elicited stakeholders' design suggestions for such a tool. We used constant comparative methods to identify key themes that arose during the interviews. Overall, 95% (55/58) of participants perceived the proposed tool to be acceptable, with 98% (57/58) of interviewees finding six or more of the seven content domains acceptable. Stakeholders identified several potential benefits of the tool including that it would help families prepare for the surrogate role and for family meetings as well as give surrogates time and a framework to think about the patient's values and treatment options. Key design suggestions included: conceptualize the tool as a supplement to rather than a substitute for surrogate-clinician communication; make the tool flexible with respect to how, where, and when surrogates can access the tool; incorporate interactive exercises; use video and narration to minimize the cognitive load of the intervention; and build an extremely simple user interface to maximize usefulness for individuals with low computer literacy. There is broad support among stakeholders for the use of a tablet-based tool to improve communication and shared decision making in ICUs. Eliciting the perspectives of key stakeholders early in the design process yielded important insights to create a tool tailored to the needs of surrogates and care providers in ICUs. Copyright © 2016 Elsevier Inc. All rights reserved.
WHO policy development processes for a new vaccine: case study of malaria vaccines.
Milstien, Julie; Cárdenas, Vicky; Cheyne, James; Brooks, Alan
2010-06-24
Recommendations from the World Health Organization (WHO) are crucial to inform developing country decisions to use, or not, a new intervention. This article analysed the WHO policy development process to predict its course for a malaria vaccine. The decision-making processes for one malaria intervention and four vaccines were classified through (1) consultations with staff and expert advisors to WHO's Global Malaria Programme (GMP) and Immunization, Vaccines and Biologicals Department (IVB); (2) analysis of the procedures and recommendations of the major policy-making bodies of these groups; (3) interviews with staff of partnerships working toward new vaccine availability; and (4) review and analyses of evidence informing key policy decisions. WHO policy formulation related to use of intermittent preventive treatment in infancy (IPTi) and the following vaccine interventions: Haemophilus influenzae type b conjugate vaccine (Hib), pneumococcal conjugate vaccine (PCV), rotavirus vaccine (RV), and human papillomavirus vaccine (HPV), five interventions which had relatively recently been through systematic WHO policy development processes as currently constituted, was analysed. Required information was categorized in three areas defined by a recent WHO publication on development of guidelines: safety and efficacy in relevant populations, implications for costs and population health, and localization of data to specific epidemiological situations. Data needs for a malaria vaccine include safety; the demonstration of efficacy in a range of epidemiological settings in the context of other malaria prevention interventions; and information on potential rebound in which disease increases subsequent to the intervention. In addition, a malaria vaccine would require attention to additional factors, such as costs and cost-effectiveness, supply and demand, impact of use on other interventions, and distribution issues. Although policy issues may be more complex for future vaccines, the lead-time between the date of product regulatory approval and a recommendation for its use in developing countries is decreasing. This study presents approaches to define in advance core data needs to support evidence-based decisions, to further decrease this lead-time, accelerating the availability of a malaria vaccine. Specific policy areas for which information should be collected are defined, including studying its use within the context of other malaria interventions.
Glass, Nancy; Clough, Amber; Case, James; Hanson, Ginger; Barnes-Hoyt, Jamie; Waterbury, Amy; Alhusen, Jeanne; Ehrensaft, Miriam; Grace, Karen Trister; Perrin, Nancy
2015-09-08
Research demonstrates high rates of physical and sexual victimization of women by intimate partners on college campuses (Black et al. 2001). College women in abusive relationships must weigh complex factors (health, academics, economics, and social stigma) during critical decision-making regarding the relationship. Rather than access formal support systems (e.g., campus security, administrators, counselors), research indicates abused college women most often turn to informal networks; specifically friends (Perspect Psychiatr Care 41:162-171, 2005), who often lack the knowledge or resources to provide effective support (Nurs Res 54(4):235-242, 2005). Decision aids have been shown to assist with health-related decisions by improving knowledge, creating realistic expectations, and resolving decisional conflict (Cochrane Database Syst Rev 1:1-332, 2014). This study is a randomized controlled trial testing the effectiveness of an interactive safety decision aid web-based and smartphone application (App) for abused college women and their friends. Three hundred female college students experiencing abuse and three hundred friends of female college students experiencing abuse will be recruited in Maryland and Oregon and randomized to either the intervention safety decision aid, accessible by website or smartphone App, or a usual safety planning control website/App. The intervention App allows users to enter information on: a) relationship health; b) safety priorities; and c) severity of violence/danger in relationship. The App uses this information to provide personalized safety planning information and resources. Self-reported outcome measures for abused college women on safety seeking behaviors, decisional conflict, IPV exposure and mental health will be collected at baseline, six, and 12-months post-baseline via the study App/website. Outcomes measured for friends are IPV awareness, confidence to intervene, supportive behaviors and decisional conflict. Protocols for safely recruiting, retaining and collecting data from abused women via web/App are discussed. This trial may provide important information on the impact of an App and web-based safety planning tool on college women's decisional conflict and safety behavior use when making difficult safety decisions. This study is the first, to our knowledge, to test an intervention that engages friends of abused college women. The trial may also inform researchers on the feasibility of safely conducting research with abused women using online recruitment and enrollment methods and collecting data via an App or website. Clinicaltrials.gov ID: NCT02236663.
Dexheimer, Judith W; Abramo, Thomas J; Arnold, Donald H; Johnson, Kevin; Shyr, Yu; Ye, Fei; Fan, Kang-Hsien; Patel, Neal; Aronsky, Dominik
2014-11-01
The use of evidence-based guidelines can improve the care for asthma patients. We implemented a computerized asthma management system in a pediatric emergency department (ED) to integrate national guidelines. Our objective was to determine whether patient eligibility identification by a probabilistic disease detection system (Bayesian network) combined with an asthma management system embedded in the workflow decreases time to disposition decision. We performed a prospective, randomized controlled trial in an urban, tertiary care pediatric ED. All patients 2-18 years of age presenting to the ED between October 2010 and February 2011 were screened for inclusion by the disease detection system. Patients identified to have an asthma exacerbation were randomized to intervention or control. For intervention patients, asthma management was computer-driven and workflow-integrated including computer-based asthma scoring in triage, and time-driven display of asthma-related reminders for re-scoring on the electronic patient status board combined with guideline-compliant order sets. Control patients received standard asthma management. The primary outcome measure was the time from triage to disposition decision. The Bayesian network identified 1339 patients with asthma exacerbations, of which 788 had an asthma diagnosis determined by an ED physician-established reference standard (positive predictive value 69.9%). The median time to disposition decision did not differ among the intervention (228 min; IQR=(141, 326)) and control group (223 min; IQR=(129, 316)); (p=0.362). The hospital admission rate was unchanged between intervention (25%) and control groups (26%); (p=0.867). ED length of stay did not differ among intervention (262 min; IQR=(165, 410)) and control group (247 min; IQR=(163, 379)); (p=0.818). The control and intervention groups were similar in regards to time to disposition; the computerized management system did not add additional wait time. The time to disposition decision did not change; however the management system integrated several different information systems to support clinicians' communication. Copyright © 2014. Published by Elsevier Ireland Ltd.
Wagemans, Annemieke M A; Van Schrojenstein Lantman-de Valk, Henny M J; Proot, Ireen M; Metsemakers, Job; Tuffrey-Wijne, Irene; Curfs, Leopold M G
2013-09-01
Not much is known about the process of end-of-life decision-making for people with intellectual disabilities. To clarify the process of end-of-life decision-making for people with intellectual disabilities from the perspective of patient representatives. A qualitative study based on semi-structured interviews, recorded digitally and transcribed verbatim. Data were analysed using Grounded Theory procedures. We interviewed 16 patient representatives after the deaths of 10 people with intellectual disabilities in the Netherlands. The core category 'Deciding for someone else' describes the context in which patient representatives took end-of-life decisions. The patient representatives felt highly responsible for the outcomes. They had not involved the patients in the end-of-life decision-making process, nor any professionals other than the doctor. The categories of 'Motives' and 'Support' were connected to the core category of 'Deciding for someone else'. 'Motives' refers to the patient representatives' ideas about quality of life, prevention from suffering, patients who cannot understand the burden of interventions and emotional reasons reported by patient representatives. 'Support' refers to the support that patient representatives wanted the doctors to give to them in the decision-making process. From the perspective of the patient representatives, the process of end-of-life decision-making can be improved by ensuring clear roles and an explicit description of the tasks and responsibilities of all participants. Regular discussion between everyone involved including people with intellectual disabilities themselves can improve knowledge about each other's motives for end-of-decisions and can clarify expectations towards each other.
Mailloux, Allan T; Cummings, Stephen W; Mugdh, Mrinal
2010-01-01
Our objective was to use Wisconsin's Medicaid Evaluation and Decision Support (MEDS) data warehouse to develop and validate a decision support tool (DST) that (1) identifies Wisconsin Medicaid fee-for-service recipients who are abusing controlled substances, (2) effectively replicates clinical pharmacist recommendations for interventions intended to curb abuse of physician and pharmacy services, and (3) automates data extraction, profile generation and tracking of recommendations and interventions. From pharmacist manual reviews of medication profiles, seven measures of overutilization of controlled substances were developed, including (1-2) 6-month and 2-month "shopping" scores, (3-4) 6-month and 2-month forgery scores, (5) duplicate/same day prescriptions, (6) count of controlled substance claims, and the (7) shopping 6-month score for the individual therapeutic class with the highest score. The pattern analysis logic for the measures was encoded into SQL and applied to the medication profiles of 190 recipients who had already undergone manual review. The scores for each measure and numbers of providers were analyzed by exhaustive chi-squared automatic interaction detection (CHAID) to determine significant thresholds and combinations of predictors of pharmacist recommendations, resulting in a decision tree to classify recipients by pharmacist recommendations. The overall correct classification rate of the decision tree was 95.3%, with a 2.4% false positive rate and 4.0% false negative rate for lock-in versus prescriber-alert letter recommendations. Measures used by the decision tree include the 2-month and 6-month shopping scores, and the number of pharmacies and prescribers. The number of pharmacies was the best predictor of abuse of controlled substances. When a Medicaid recipient receives prescriptions for controlled substances at 8 or more pharmacies, the likelihood of a lock-in recommendation is 90%. The availability of the Wisconsin MEDS data warehouse has enabled development and application of a decision tree for detecting recipient fraud and abuse of controlled substance medications. Using standard pharmacy claims data, the decision tree effectively replicates pharmacist manual review recommendations. The DST has automated extraction and evaluation of pharmacy claims data for creating recommendations for guiding pharmacists in the selection of profiles for manual review. The DST is now the primary method used by the Wisconsin Medicaid program to detect fraud and abuse of physician and pharmacy services committed by recipients.
Reuland, Daniel S; Brenner, Alison T; Hoffman, Richard; McWilliams, Andrew; Rhyne, Robert L; Getrich, Christina; Tapp, Hazel; Weaver, Mark A; Callan, Danelle; Cubillos, Laura; Urquieta de Hernandez, Brisa; Pignone, Michael P
2017-07-01
Colorectal cancer (CRC) screening is underused, especially among vulnerable populations. Decision aids and patient navigation are potentially complementary interventions for improving CRC screening rates, but their combined effect on screening completion is unknown. To determine the combined effect of a CRC screening decision aid and patient navigation compared with usual care on CRC screening completion. In this randomized clinical trial, data were collected from January 2014 to March 2016 at 2 community health center practices, 1 in North Carolina and 1 in New Mexico, serving vulnerable populations. Patients ages 50 to 75 years who had average CRC risk, spoke English or Spanish, were not current with recommended CRC screening, and were attending primary care visits were recruited and randomized 1:1 to intervention or control arms. Intervention participants viewed a CRC screening decision aid in English or Spanish immediately before their clinician encounter. The decision aid promoted screening and presented colonoscopy and fecal occult blood testing as screening options. After the clinician encounter, intervention patients received support for screening completion from a bilingual patient navigator. Control participants viewed a food safety video before the encounter and otherwise received usual care. The primary outcome was CRC screening completion within 6 months of the index study visit assessed by blinded medical record review. Characteristics of the 265 participants were as follows: their mean age was 58 years; 173 (65%) were female, 164 (62%) were Latino; 40 (15%) were white non-Latino; 61 (23%) were black or of mixed race; 191 (78%) had a household income of less than $20 000; 101 (38%) had low literacy; 75 (28%) were on Medicaid; and 91 (34%) were uninsured. Intervention participants were more likely to complete CRC screening within 6 months (68% vs 27%); adjusted-difference, 40 percentage points (95% CI, 29-51 percentage points). The intervention was more effective in women than in men (50 vs 21 percentage point increase, interaction P = .02). No effect modification was observed across other subgroups. A patient decision aid plus patient navigation increased the rate of CRC screening completion in compared with usual care invulnerable primary care patients. clinicaltrials.gov Identifier: NCT02054598.
Physician Attitudes toward Adopting Genome-Guided Prescribing through Clinical Decision Support
Overby, Casey Lynnette; Erwin, Angelika Ludtke; Abul-Husn, Noura S.; Ellis, Stephen B.; Scott, Stuart A.; Obeng, Aniwaa Owusu; Kannry, Joseph L.; Hripcsak, George; Bottinger, Erwin P.; Gottesman, Omri
2014-01-01
This study assessed physician attitudes toward adopting genome-guided prescribing through clinical decision support (CDS), prior to enlisting in the Clinical Implementation of Personalized Medicine through Electronic Health Records and Genomics pilot pharmacogenomics project (CLIPMERGE PGx). We developed a survey instrument that includes the Evidence Based Practice Attitude Scale, adapted to measure attitudes toward adopting genome-informed interventions (EBPAS-GII). The survey also includes items to measure physicians’ characteristics (awareness, experience, and perceived usefulness), attitudes about personal genome testing (PGT) services, and comfort using technology. We surveyed 101 General Internal Medicine physicians from the Icahn School of Medicine at Mount Sinai (ISMMS). The majority were residency program trainees (~88%). Prior to enlisting into CLIPMERGE PGx, most physicians were aware of and had used decision support aids. Few physicians, however, were aware of and had used genome-guided prescribing. The majority of physicians viewed decision support aids and genotype data as being useful for making prescribing decisions. Most physicians had not heard of, but were willing to use, PGT services and felt comfortable interpreting PGT results. Most physicians were comfortable with technology. Physicians who perceived genotype data to be useful in making prescribing decisions, had more positive attitudes toward adopting genome-guided prescribing through CDS. Our findings suggest that internal medicine physicians have a deficit in their familiarity and comfort interpreting and using genomic information. This has reinforced the importance of gathering feedback and guidance from our enrolled physicians when designing genome-guided CDS and the importance of prioritizing genomic medicine education at our institutions. PMID:25562141
Integrating Decision Making and Mental Health Interventions Research: Research Directions
Wills, Celia E.; Holmes-Rovner, Margaret
2006-01-01
The importance of incorporating patient and provider decision-making processes is in the forefront of the National Institute of Mental Health (NIMH) agenda for improving mental health interventions and services. Key concepts in patient decision making are highlighted within a simplified model of patient decision making that links patient-level/“micro” variables to services-level/“macro” variables via the decision-making process that is a target for interventions. The prospective agenda for incorporating decision-making concepts in mental health research includes (a) improved measures for characterizing decision-making processes that are matched to study populations, complexity, and types of decision making; (b) testing decision aids in effectiveness research for diverse populations and clinical settings; and (c) improving the understanding and incorporation of preference concepts in enhanced intervention designs. PMID:16724158
2011-01-01
Background Low back pain is a common and costly condition. There are several treatment options for people suffering from back pain, but there are few data on how to improve patients' treatment choices. This study will test the effects of a decision support package (DSP), designed to help patients seeking care for back pain to make better, more informed choices about their treatment within a physiotherapy department. The package will be designed to assist both therapist and patient. Methods/Design Firstly, in collaboration with physiotherapists, patients and experts in the field of decision support and decision aids, we will develop the DSP. The work will include: a literature and evidence review; secondary analysis of existing qualitative data; exploration of patients' perspectives through focus groups and exploration of experts' perspectives using a nominal group technique and a Delphi study. Secondly, we will carry out a pilot single centre randomised controlled trial within NHS Coventry Community Physiotherapy. We will randomise physiotherapists to receive either training for the DSP or not. We will randomly allocate patients seeking treatment for non specific low back pain to either a physiotherapist trained in decision support or to receive usual care. Our primary outcome measure will be patient satisfaction with treatment at three month follow-up. We will also estimate the cost-effectiveness of the intervention, and assess the value of conducting further research. Discussion Informed shared decision-making should be an important part of any clinical consultation, particularly when there are several treatments, which potentially have moderate effects. The results of this pilot will help us determine the benefits of improving the decision-making process in clinical practice on patient satisfaction. Trial registration Current Controlled Trials ISRCTN46035546 PMID:21352528
Knerr, Sarah; Wernli, Karen J; Leppig, Kathleen; Ehrlich, Kelly; Graham, Amanda L; Farrell, David; Evans, Chalanda; Luta, George; Schwartz, Marc D; O'Neill, Suzanne C
2017-05-01
Mammographic breast density is one of the strongest risk factors for breast cancer after age and family history. Mandatory breast density disclosure policies are increasing nationally without clear guidance on how to communicate density status to women. Coupling density disclosure with personalized risk counseling and decision support through a web-based tool may be an effective way to allow women to make informed, values-consistent risk management decisions without increasing distress. This paper describes the design and methods of Engaged, a prospective, randomized controlled trial examining the effect of online personalized risk counseling and decision support on risk management decisions in women with dense breasts and increased breast cancer risk. The trial is embedded in a large integrated health care system in the Pacific Northwest. A total of 1250 female health plan members aged 40-69 with a recent negative screening mammogram who are at increased risk for interval cancer based on their 5-year breast cancer risk and BI-RADS® breast density will be randomly assigned to access either a personalized web-based counseling and decision support tool or standard educational content. Primary outcomes will be assessed using electronic health record data (i.e., chemoprevention and breast MRI utilization) and telephone surveys (i.e., distress) at baseline, six weeks, and twelve months. Engaged will provide evidence about whether a web-based personalized risk counseling and decision support tool is an effective method for communicating with women about breast density and risk management. An effective intervention could be disseminated with minimal clinical burden to align with density disclosure mandates. Clinical Trials Registration Number:NCT03029286. Copyright © 2017 Elsevier Inc. All rights reserved.
Home medication support for childhood cancer: family-centered design and testing.
Walsh, Kathleen E; Biggins, Colleen; Blasko, Deb; Christiansen, Steven M; Fischer, Shira H; Keuker, Christopher; Klugman, Robert; Mazor, Kathleen M
2014-11-01
Errors in the use of medications at home by children with cancer are common, and interventions to support correct use are needed. We sought to (1) engage stakeholders in the design and development of an intervention to prevent errors in home medication use, and (2) evaluate the acceptability and usefulness of the intervention. We convened a multidisciplinary team of parents, clinicians, technology experts, and researchers to develop an intervention using a two-step user-centered design process. First, parents and oncologists provided input on the design. Second, a parent panel and two oncology nurses refined draft materials. In a feasibility study, we used questionnaires to assess usefulness and acceptability. Medication error rates were assessed via monthly telephone interviews with parents. We successfully partnered with parents, clinicians, and IT experts to develop Home Medication Support (HoMeS), a family-centered Web-based intervention. HoMeS includes a medication calendar with decision support, a communication tool, adverse effect information, a metric conversion chart, and other information. The 15 families in the feasibility study gave HoMeS high ratings for acceptability and usefulness. Half recorded information on the calendar to indicate to other caregivers that doses were given; 34% brought it to the clinic to communicate with their clinician about home medication use. There was no change in the rate of medication errors in this feasibility study. We created and tested a stakeholder-designed, Web-based intervention to support home chemotherapy use, which parents rated highly. This tool may prevent serious medication errors in a larger study. Copyright © 2014 by American Society of Clinical Oncology.
Hanrahan, Kirsten; McCarthy, Ann Marie; Kleiber, Charmaine; Ataman, Kaan; Street, W Nick; Zimmerman, M Bridget; Ersig, Anne L
2012-10-01
This secondary data analysis used data mining methods to develop predictive models of child risk for distress during a healthcare procedure. Data used came from a study that predicted factors associated with children's responses to an intravenous catheter insertion while parents provided distraction coaching. From the 255 items used in the primary study, 44 predictive items were identified through automatic feature selection and used to build support vector machine regression models. Models were validated using multiple cross-validation tests and by comparing variables identified as explanatory in the traditional versus support vector machine regression. Rule-based approaches were applied to the model outputs to identify overall risk for distress. A decision tree was then applied to evidence-based instructions for tailoring distraction to characteristics and preferences of the parent and child. The resulting decision support computer application, titled Children, Parents and Distraction, is being used in research. Future use will support practitioners in deciding the level and type of distraction intervention needed by a child undergoing a healthcare procedure.
Bowles, Kathryn H; Hanlon, Alexandra; Holland, Diane; Potashnik, Sheryl L; Topaz, Maxim
2014-01-01
Hospital clinicians are overwhelmed with the volume of patients churning through the health care systems. The study purpose was to determine whether alerting case managers about high-risk patients by supplying decision support results in better discharge plans as evidenced by time to first hospital readmission. Four medical units at one urban, university medical center. A quasi-experimental study including a usual care and experimental phase with hospitalized English-speaking patients aged 55 years and older. The intervention included using an evidence-based screening tool, the Discharge Decision Support System (D2S2), that supports clinicians' discharge referral decision making by identifying high-risk patients upon admission who need a referral for post-acute care. The usual care phase included collection of the D2S2 information, but not sharing the information with case managers. The experimental phase included data collection and then sharing the results with the case managers. The study compared time to readmission between index discharge date and 30 and 60 days in patients in both groups (usual care vs. experimental). After sharing the D2S2 results, the percentage of referral or high-risk patients readmitted by 30 and 60 days decreased by 6% and 9%, respectively, representing a 26% relative reduction in readmissions for both periods. Supplying decision support to identify high-risk patients recommended for postacute referral is associated with better discharge plans as evidenced by an increase in time to first hospital readmission. The tool supplies standardized information upon admission allowing more time to work with high-risk admissions.
McDonald, Margaret V.; Feldman, Penny H.; Barrón-Vayá, Yolanda; Peng, Timothy R.; Sridharan, Sridevi; Pezzin, Liliana E.
2017-01-01
Objective To assess the outcomes of a clinical decision support (CDS) intervention designed for home care patients with high medication regimen complexity (MRC) and to examine the correlates of CDS use and its relationship to patient outcomes. Method The intervention randomized nurses upon identification of an eligible patient. The CDS consisted of a computerized algorithm that identified high MRC patients, electronic clinician alerts, and a care management module. Analyses were completed on full intention to treat and intervention group-only samples. Regression-adjusted outcomes were hospitalization, emergency department use and reduction in MRC. Data sources included health records and administrative data. Results Five hundred nurses were randomized with 7,919 of their patients. Approximately 20% of the intervention group was hospitalized versus 21% in the control group; 16.5% of the intervention group had an emergency department visit versus 16.7% in the control group; and 6% in each group dropped below the high MRC threshold. No statistically significant differences were found in the intention to treat analysis. Eighty-two percent of intervention nurses used the CDS but for only 42% of their patients. Among intervention patients, CDS use (versus non-use) was associated with reduced MRC and hospitalization. CDS use was more likely among older nurses, those with higher study-patient caseload and, marginally, among salaried nurses and those with longer tenure. Significant patient characteristics were clinical conditions, payer, episode length, care continuity and race. Conclusion CDS use was limited, thus negating the impact of the intervention overall. The findings on correlates of CDS use and the relationship between CDS use and positive outcomes suggest that CDS use and outcomes could be enhanced by avoiding very short patient lengths of stay, improving continuity of care, increasing reliance on salaried nurses and/or increasing per diem nurses’ incentives to use CDS. PMID:26009977
Sedlmayr, Brita; Patapovas, Andrius; Kirchner, Melanie; Sonst, Anja; Müller, Fabian; Pfistermeister, Barbara; Plank-Kiegele, Bettina; Vogler, Renate; Criegee-Rieck, Manfred; Prokosch, Hans-Ulrich; Dormann, Harald; Maas, Renke; Bürkle, Thomas
2013-07-29
Although usage and acceptance are important factors for a successful implementation of clinical decision support systems for medication, most studies only concentrate on their design and outcome. Our objective was to comparatively investigate a set of traditional medication safety measures such as medication safety training for physicians, paper-based posters and checklists concerning potential medication problems versus the additional benefit of a computer-assisted medication check. We concentrated on usage, acceptance and suitability of such interventions in a busy emergency department (ED) of a 749 bed acute tertiary care hospital. A retrospective, qualitative evaluation study was conducted using a field observation and a questionnaire-based survey. Six physicians were observed while treating 20 patient cases; the questionnaire, based on the Technology Acceptance Model 2 (TAM2), has been answered by nine ED physicians. During field observations, we did not observe direct use of any of the implemented interventions for medication safety (paper-based and electronic). Questionnaire results indicated that the electronic medication safety check was the most frequently used intervention, followed by checklist and posters. However, despite their positive attitude, physicians most often stated that they use the interventions in only up to ten percent for subjectively "critical" orders. Main reasons behind the low usage were deficits in ease-of-use and fit to the workflow. The intention to use the interventions was rather high after overcoming these barriers. Methodologically, the study contributes to Technology Acceptance Model (TAM) research in an ED setting and confirms TAM2 as a helpful diagnostic tool in identifying barriers for a successful implementation of medication safety interventions. In our case, identified barriers explaining the low utilization of the implemented medication safety interventions - despite their positive reception - include deficits in accessibility, briefing for the physicians about the interventions, ease-of-use and compatibility to the working environment.
2013-01-01
Background Although usage and acceptance are important factors for a successful implementation of clinical decision support systems for medication, most studies only concentrate on their design and outcome. Our objective was to comparatively investigate a set of traditional medication safety measures such as medication safety training for physicians, paper-based posters and checklists concerning potential medication problems versus the additional benefit of a computer-assisted medication check. We concentrated on usage, acceptance and suitability of such interventions in a busy emergency department (ED) of a 749 bed acute tertiary care hospital. Methods A retrospective, qualitative evaluation study was conducted using a field observation and a questionnaire-based survey. Six physicians were observed while treating 20 patient cases; the questionnaire, based on the Technology Acceptance Model 2 (TAM2), has been answered by nine ED physicians. Results During field observations, we did not observe direct use of any of the implemented interventions for medication safety (paper-based and electronic). Questionnaire results indicated that the electronic medication safety check was the most frequently used intervention, followed by checklist and posters. However, despite their positive attitude, physicians most often stated that they use the interventions in only up to ten percent for subjectively “critical” orders. Main reasons behind the low usage were deficits in ease-of-use and fit to the workflow. The intention to use the interventions was rather high after overcoming these barriers. Conclusions Methodologically, the study contributes to Technology Acceptance Model (TAM) research in an ED setting and confirms TAM2 as a helpful diagnostic tool in identifying barriers for a successful implementation of medication safety interventions. In our case, identified barriers explaining the low utilization of the implemented medication safety interventions - despite their positive reception - include deficits in accessibility, briefing for the physicians about the interventions, ease-of-use and compatibility to the working environment. PMID:23890121
Haynes, R Brian; Wilczynski, Nancy L
2010-02-05
Computerized clinical decision support systems are information technology-based systems designed to improve clinical decision-making. As with any healthcare intervention with claims to improve process of care or patient outcomes, decision support systems should be rigorously evaluated before widespread dissemination into clinical practice. Engaging healthcare providers and managers in the review process may facilitate knowledge translation and uptake. The objective of this research was to form a partnership of healthcare providers, managers, and researchers to review randomized controlled trials assessing the effects of computerized decision support for six clinical application areas: primary preventive care, therapeutic drug monitoring and dosing, drug prescribing, chronic disease management, diagnostic test ordering and interpretation, and acute care management; and to identify study characteristics that predict benefit. The review was undertaken by the Health Information Research Unit, McMaster University, in partnership with Hamilton Health Sciences, the Hamilton, Niagara, Haldimand, and Brant Local Health Integration Network, and pertinent healthcare service teams. Following agreement on information needs and interests with decision-makers, our earlier systematic review was updated by searching Medline, EMBASE, EBM Review databases, and Inspec, and reviewing reference lists through 6 January 2010. Data extraction items were expanded according to input from decision-makers. Authors of primary studies were contacted to confirm data and to provide additional information. Eligible trials were organized according to clinical area of application. We included randomized controlled trials that evaluated the effect on practitioner performance or patient outcomes of patient care provided with a computerized clinical decision support system compared with patient care without such a system. Data will be summarized using descriptive summary measures, including proportions for categorical variables and means for continuous variables. Univariable and multivariable logistic regression models will be used to investigate associations between outcomes of interest and study specific covariates. When reporting results from individual studies, we will cite the measures of association and p-values reported in the studies. If appropriate for groups of studies with similar features, we will conduct meta-analyses. A decision-maker-researcher partnership provides a model for systematic reviews that may foster knowledge translation and uptake.
Application of HTA research on policy decision-making.
Youngkong, Sitaporn
2014-05-01
This article provides an overview of the potential uses of health technology assessment (HTA) in health technology or health intervention-related policy decision-making. It summarises the role of HTA in policy planning, health system investment, price negotiation, development of clinical practice guidelines, and communication with health professionals. While the multifaceted nature of HTA means that some aspects of the data can result in conflicting conclusions, the comprehensive approach of HTA is still recommended. To help minimise the potential conflicts within HTA data, a multicriteria decision analysis (MCDA) approach is recommended as a way to assess a number of decision criteria simultaneously. A combination of HTA with MCDA allows policy decision-making to be undertaken in an empirically rigorous and rational way. This combination can be used to support policy decision-makers in Thailand and help them prioritise topics for assessment and make informed health benefit package coverage decisions. This approach enhances the legitimacy of policy decisions by increasing the transparency, systematic nature, and inclusiveness of the process.
Faculty Intervention as Support for First-Year Students
ERIC Educational Resources Information Center
Naidoo, Ana'dhavelli; Lemmens, Juan-Claude
2015-01-01
The impetus for this study is grounded in a strategic decision by management to measure readiness for university education as part of an early alert and referral system. The motivation for this project is also rooted in literature that points out that the South African higher education system faces challenges with students entering the system…
2015-06-12
not have to lose. Since civilian populations not threatened with annihilation tend to not support a stalemated war indefinitely, this calculus of...growing resistance and anger among people. In the Chittagong area, there were two units–one Bangladeshi regular unit, the 8th East Bengal Regiment...
Demiris, G; Thompson, H
2011-01-01
As health care systems face limited resources and workforce shortages to address the complex needs of older adult populations, innovative approaches utilizing information technology can support aging. Smart Home and Ambient Assisted Living (SHAAL) systems utilize advanced and ubiquitous technologies including sensors and other devices that are integrated in the residential infrastructure or wearable, to capture data describing activities of daily living and health related events. This paper highlights how data from SHAAL systems can lead to information and knowledge that ultimately improves clinical outcomes and quality of life for older adults as well as quality of health care services. We conducted a review of personal health record applications specifically for older adults and approaches to using information to improve elder care. We present a framework that showcases how data captured from SHAAL systems can be processed to provide meaningful information that becomes part of a personal health record. Synthesis and visualization of information resulting from SHAAL systems can lead to knowledge and support education, delivery of tailored interventions and if needed, transitions in care. Such actions can involve multiple stakeholders as part of shared decision making. SHAAL systems have the potential to support aging and improve quality of life and decision making for older adults and their families. The framework presented in this paper demonstrates how emphasis needs to be placed into extracting meaningful information from new innovative systems that will support decision making. The challenge for informatics designers and researchers is to facilitate an evolution of SHAAL systems expanding beyond demonstration projects to actual interventions that will improve health care for older adults.
Goodell, Parker B.; Bauer, Andrea S.; Sierra, Francisco J. A.; James, Michelle A.
2016-01-01
Background: Symbrachydactyly is a unilateral congenital hand malformation characterized by failure of formation of fingers and the presence of rudimentary digit nubbins. The management is variable and are investigated in this review. Methods: A detailed review of the literature was compiled into succinct clinically relevant categories. Results: Etiology, classification, non-surgical management, surgical intervention, and patient oriented outcomes are discussed. Conclusions: All interventions should prioritize realistic, evidence-supported appearance and functional gains. Studies of the baseline function and quality of life of children with symbrachydactyly would allow surgeons to better understand functional changes associated with various interventions and would help surgeons and parents to make the best treatment decisions. PMID:27698626
Thornton, Rachel L J; Glover, Crystal M; Cené, Crystal W; Glik, Deborah C; Henderson, Jeffrey A; Williams, David R
2016-08-01
The opportunities for healthy choices in homes, neighborhoods, schools, and workplaces can have decisive impacts on health. We review scientific evidence from promising interventions focused on the social determinants of health and discuss how such interventions can improve population health and reduce health disparities. We found sufficient evidence of successful outcomes to support disparity-reducing policy interventions targeted at education and early childhood; urban planning and community development; housing; income enhancements and supplements; and employment. Cost-effectiveness evaluations show that these interventions lead to long-term societal savings, but the interventions require more routine attention to cost considerations. We discuss challenges to implementation, including the need for long-term financing to scale up effective interventions for implementation at the local, state, and national levels. Project HOPE—The People-to-People Health Foundation, Inc.
A personal health information toolkit for health intervention research.
Kizakevich, Paul N; Eckhoff, Randall; Weger, Stacey; Weeks, Adam; Brown, Janice; Bryant, Stephanie; Bakalov, Vesselina; Zhang, Yuying; Lyden, Jennifer; Spira, James
2014-01-01
With the emergence of mobile health (mHealth) apps, there is a growing demand for better tools for developing and evaluating mobile health interventions. Recently we developed the Personal Health Intervention Toolkit (PHIT), a software framework which eases app implementation and facilitates scientific evaluation. PHIT integrates self-report and physiological sensor instruments, evidence-based advisor logic, and self-help interventions such as meditation, health education, and cognitive behavior change. PHIT can be used to facilitate research, interventions for chronic diseases, risky behaviors, sleep, medication adherence, environmental monitoring, momentary data collection health screening, and clinical decision support. In a series of usability evaluations, participants reported an overall usability score of 4.5 on a 1-5 Likert scale and an 85 score on the System Usability Scale, indicating a high percentile rank of 95%.
Blank, Antje; Prytherch, Helen; Kaltschmidt, Jens; Krings, Andreas; Sukums, Felix; Mensah, Nathan; Zakane, Alphonse; Loukanova, Svetla; Gustafsson, Lars L; Sauerborn, Rainer; Haefeli, Walter E
2013-04-10
Despite strong efforts to improve maternal care, its quality remains deficient in many countries of Sub-Saharan Africa as persistently high maternal mortality rates testify. The QUALMAT study seeks to improve the performance and motivation of rural health workers and ultimately quality of primary maternal health care services in three African countries Burkina Faso, Ghana, and Tanzania. One major intervention is the introduction of a computerized Clinical Decision Support System (CDSS) for rural primary health care centers to be used by health care workers of different educational levels. A stand-alone, java-based software, able to run on any standard hardware, was developed based on assessment of the health care situation in the involved countries. The software scope was defined and the final software was programmed under consideration of test experiences. Knowledge for the decision support derived from the World Health Organization (WHO) guideline "Pregnancy, Childbirth, Postpartum and Newborn Care; A Guide for Essential Practice". The QUALMAT CDSS provides computerized guidance and clinical decision support for antenatal care, and care during delivery and up to 24 hours post delivery. The decision support is based on WHO guidelines and designed using three principles: (1) Guidance through routine actions in maternal and perinatal care, (2) integration of clinical data to detect situations of concern by algorithms, and (3) electronic tracking of peri- and postnatal activities. In addition, the tool facilitates patient management and is a source of training material. The implementation of the software, which is embedded in a set of interventions comprising the QUALMAT study, is subject to various research projects assessing and quantifying the impact of the CDSS on quality of care, the motivation of health care staff (users) and its health economic aspects. The software will also be assessed for its usability and acceptance, as well as for its influence on workflows in the rural setting of primary health care in the three countries involved. The development and implementation of a CDSS in rural primary health care centres presents challenges, which may be overcome with careful planning and involvement of future users at an early stage. A tailored software with stable functionality should offer perspectives to improve maternal care in resource-poor settings.
2013-01-01
Background Despite strong efforts to improve maternal care, its quality remains deficient in many countries of Sub-Saharan Africa as persistently high maternal mortality rates testify. The QUALMAT study seeks to improve the performance and motivation of rural health workers and ultimately quality of primary maternal health care services in three African countries Burkina Faso, Ghana, and Tanzania. One major intervention is the introduction of a computerized Clinical Decision Support System (CDSS) for rural primary health care centers to be used by health care workers of different educational levels. Methods A stand-alone, java-based software, able to run on any standard hardware, was developed based on assessment of the health care situation in the involved countries. The software scope was defined and the final software was programmed under consideration of test experiences. Knowledge for the decision support derived from the World Health Organization (WHO) guideline “Pregnancy, Childbirth, Postpartum and Newborn Care; A Guide for Essential Practice”. Results The QUALMAT CDSS provides computerized guidance and clinical decision support for antenatal care, and care during delivery and up to 24 hours post delivery. The decision support is based on WHO guidelines and designed using three principles: (1) Guidance through routine actions in maternal and perinatal care, (2) integration of clinical data to detect situations of concern by algorithms, and (3) electronic tracking of peri- and postnatal activities. In addition, the tool facilitates patient management and is a source of training material. The implementation of the software, which is embedded in a set of interventions comprising the QUALMAT study, is subject to various research projects assessing and quantifying the impact of the CDSS on quality of care, the motivation of health care staff (users) and its health economic aspects. The software will also be assessed for its usability and acceptance, as well as for its influence on workflows in the rural setting of primary health care in the three countries involved. Conclusion The development and implementation of a CDSS in rural primary health care centres presents challenges, which may be overcome with careful planning and involvement of future users at an early stage. A tailored software with stable functionality should offer perspectives to improve maternal care in resource-poor settings. Trial registration http://www.clinicaltrials.gov/NCT01409824. PMID:23574764
Thompson, Carl; Stapley, Sally
2011-07-01
Despite the growing popularity of decision making in nursing curricula, the effectiveness of educational interventions to improve nursing judgement and decision making is unknown. We sought to synthesise and summarise the comparative evidence for educational interventions to improve nursing judgements and clinical decisions. A systematic review. Electronic databases: Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, CINAHL and PsycINFO, Social Sciences Citation Index, OpenSIGLE conference proceedings and hand searching nursing journals. Studies published since 1960, reporting any educational intervention that aimed to improve nurses' clinical judgements or decision making were included. Studies were assessed for relevance and quality. Data extracted included study design; educational setting; the nature of participants; whether the study was concerned with the clinical application of skills or the application of theory; the type of decision targeted by the intervention (e.g. diagnostic reasoning) and whether the evaluation of the intervention focused on efficacy or effectiveness. A narrative approach to study synthesis was used due to heterogeneity in interventions, study samples, outcomes and settings and incomplete reporting of effect sizes. From 5262 initial citations 24 studies were included in the review. A variety of educational approaches were reported. Study quality and content reporting was generally poor. Pedagogical theories were widely used but use of decision theory (with the exception of subjective expected utility theory implicit in decision analysis) was rare. The effectiveness and efficacy of interventions was mixed. Educational interventions to improve nurses' judgements and decisions are complex and the evidence from comparative studies does little to reduce the uncertainty about 'what works'. Nurse educators need to pay attention to decision, as well as pedagogical, theory in the design of interventions. Study design and reporting requires improvement to maximise the information contained in reports of educational interventions. Copyright © 2011 Elsevier Ltd. All rights reserved.
Capacity for Preferences: Respecting Patients with Compromised Decision-Making.
Wasserman, Jason Adam; Navin, Mark Christopher
2018-05-01
When a patient lacks decision-making capacity, then according to standard clinical ethics practice in the United States, the health care team should seek guidance from a surrogate decision-maker, either previously selected by the patient or appointed by the courts. If there are no surrogates willing or able to exercise substituted judgment, then the team is to choose interventions that promote a patient's best interests. We argue that, even when there is input from a surrogate, patient preferences should be an additional source of guidance for decisions about patients who lack decision-making capacity. Our proposal builds on other efforts to help patients who lack decision-making capacity provide input into decisions about their care. For example, "supported," "assisted," or "guided" decision-making models reflect a commitment to humanistic patient engagement and create a more supportive process for patients, families, and health care teams. But often, they are supportive processes for guiding a patient toward a decision that the surrogate or team believes to be in the patient's medical best interests. Another approach holds that taking seriously the preferences of such a patient can help surrogates develop a better account of what the patient's treatment choices would have been if the patient had retained decision-making capacity; the surrogate then must try to integrate features of the patient's formerly rational self with the preferences of the patient's currently compromised self. Patients who lack decision-making capacity are well served by these efforts to solicit and use their preferences to promote best interests or to craft would-be autonomous patient images for use by surrogates. However, we go further: the moral reasons for valuing the preferences of patients without decision-making capacity are not reducible to either best-interests or (surrogate) autonomy considerations but can be grounded in the values of liberty and respect for persons. This has important consequences for treatment decisions involving these vulnerable patients. © 2018 The Hastings Center.
2010-01-01
Background Current healthcare systems have extended the evidence-based medicine (EBM) approach to health policy and delivery decisions, such as access-to-care, healthcare funding and health program continuance, through attempts to integrate valid and reliable evidence into the decision making process. These policy decisions have major impacts on society and have high personal and financial costs associated with those decisions. Decision models such as these function under a shared assumption of rational choice and utility maximization in the decision-making process. Discussion We contend that health policy decision makers are generally unable to attain the basic goals of evidence-based decision making (EBDM) and evidence-based policy making (EBPM) because humans make decisions with their naturally limited, faulty, and biased decision-making processes. A cognitive information processing framework is presented to support this argument, and subtle cognitive processing mechanisms are introduced to support the focal thesis: health policy makers' decisions are influenced by the subjective manner in which they individually process decision-relevant information rather than on the objective merits of the evidence alone. As such, subsequent health policy decisions do not necessarily achieve the goals of evidence-based policy making, such as maximizing health outcomes for society based on valid and reliable research evidence. Summary In this era of increasing adoption of evidence-based healthcare models, the rational choice, utility maximizing assumptions in EBDM and EBPM, must be critically evaluated to ensure effective and high-quality health policy decisions. The cognitive information processing framework presented here will aid health policy decision makers by identifying how their decisions might be subtly influenced by non-rational factors. In this paper, we identify some of the biases and potential intervention points and provide some initial suggestions about how the EBDM/EBPM process can be improved. PMID:20504357
McCaughey, Deirdre; Bruning, Nealia S
2010-05-26
Current healthcare systems have extended the evidence-based medicine (EBM) approach to health policy and delivery decisions, such as access-to-care, healthcare funding and health program continuance, through attempts to integrate valid and reliable evidence into the decision making process. These policy decisions have major impacts on society and have high personal and financial costs associated with those decisions. Decision models such as these function under a shared assumption of rational choice and utility maximization in the decision-making process. We contend that health policy decision makers are generally unable to attain the basic goals of evidence-based decision making (EBDM) and evidence-based policy making (EBPM) because humans make decisions with their naturally limited, faulty, and biased decision-making processes. A cognitive information processing framework is presented to support this argument, and subtle cognitive processing mechanisms are introduced to support the focal thesis: health policy makers' decisions are influenced by the subjective manner in which they individually process decision-relevant information rather than on the objective merits of the evidence alone. As such, subsequent health policy decisions do not necessarily achieve the goals of evidence-based policy making, such as maximizing health outcomes for society based on valid and reliable research evidence. In this era of increasing adoption of evidence-based healthcare models, the rational choice, utility maximizing assumptions in EBDM and EBPM, must be critically evaluated to ensure effective and high-quality health policy decisions. The cognitive information processing framework presented here will aid health policy decision makers by identifying how their decisions might be subtly influenced by non-rational factors. In this paper, we identify some of the biases and potential intervention points and provide some initial suggestions about how the EBDM/EBPM process can be improved.
Psychological interventions for individuals with cystic fibrosis and their families.
Goldbeck, Lutz; Fidika, Astrid; Herle, Marion; Quittner, Alexandra L
2014-06-18
With increasing survival estimates for individuals with cystic fibrosis, long-term management has become an important focus. Psychological interventions are largely concerned with adherence to treatment, emotional and social adaptation and health-related quality of life. We are unaware of any relevant systematic reviews. To determine whether psychological interventions for people with cystic fibrosis provide significant psychosocial and physical benefits in addition to standard medical care. Studies were identified from two Cochrane trials registers (Cystic Fibrosis and Genetic Disorders Group; Depression, Anxiety and Neurosis Group), Ovid MEDLINE and PsychINFO; unpublished trials were located through professional networks and Listserves. Most recent search of the Cystic Fibrosis and Genetic Disorders Group's register: 19 December 2013.Most recent search of the Depression, Anxiety and Neurosis Group's register: 12 November 2013. Randomised controlled studies of a broad range of psychological interventions evaluating subjective and objective health outcomes, such as quality of life or pulmonary function, in individuals of all ages with cystic fibrosis and their immediate family. We were interested in psychological interventions, including psychological methods within the scope of psychotherapeutic or psychosomatic mechanism of action (e.g. cognitive behavioural, cognitive, family systems or systemic, psycho-dynamic, or other, e.g. supportive, relaxation, or biofeedback), which were aimed at improving psychological and psychosocial outcomes (e.g. quality of life, levels of stress or distress, psychopathology, etc.), adaptation to disease management and physiological outcomes. Three authors were involved in selecting the eligible studies and two of these authors assessed their risk of bias. The review includes 16 studies (eight new studies included in this update) representing data from 556 participants. Studies are diverse in their design and their methods. They cover interventions with generic approaches, as well as interventions developed specifically to target disease-specific symptoms and problems in people with cystic fibrosis. These include cognitive behavioural interventions to improve adherence to nutrition or psychosocial adjustment, cognitive interventions to improve adherence or those associated with decision making in lung transplantation, a community-based support intervention and other interventions, such as self-hypnosis, respiratory muscle biofeedback, music therapy, dance and movement therapy, and a tele-medicine intervention to support patients awaiting transplantation.A substantial proportion of outcomes relate to adherence, changes in physical status or other specific treatment concerns during the chronic phase of the disease.There is some evidence that behavioural interventions targeting nutrition and growth in children (4 to 12 years) with cystic fibrosis are effective in the short term. Evidence was found that providing a structured decision-making tool for patients considering lung transplantation improves patients' knowledge of and expectations about the transplant, and reduces decisional conflict in the short term. One study about training in biofeedback-assisted breathing demonstrated some evidence that it improved some lung function measurements. Currently there is insufficient evidence for interventions aimed at other aspects of the disease process. Currently, insufficient evidence exists on psychological interventions or approaches to support people with cystic fibrosis and their caregivers, although some of the studies were promising. Due to the heterogeneity between studies, more of each type of intervention are needed to support preliminary evidence. Multicentre studies, with consequent funding implications, are needed to increase the sample size of these studies and enhance the statistical power and precision to detect important findings. In addition, multicentre studies could improve the generalisation of results by minimizing centre or therapist effects. Psychological interventions should be targeted to illness-specific symptoms or behaviours to demonstrate efficacy.
Nagle, C; Gunn, J; Bell, R; Lewis, S; Meiser, B; Metcalfe, S; Ukoumunne, O C; Halliday, J
2008-02-01
To evaluate the effectiveness of a decision aid for prenatal testing of fetal abnormalities compared with a pamphlet in supporting women's decision making. A cluster randomised controlled trial. Primary health care. Women in early pregnancy consulting a GP. GPs were randomised to provide women with either a decision aid or a pamphlet. The decision aid was a 24-page booklet designed using the Ottowa Decision Framework. The pamphlet was an existing resource available in the trial setting. Validated scales were used to measure the primary outcomes, informed choice and decisional conflict, and the secondary outcomes, anxiety, depression, attitudes to the pregnancy/fetus and acceptability of the resource. Outcomes were measured at 14 weeks of gestation from questionnaires that women completed and returned by post. Women in the intervention group were more likely to make an informed decision 76% (126/165) than those in the control group 65% (107/165) (adjusted OR 2.08; 95% CI 1.14-3.81). A greater proportion of women in the intervention group 88% (147/167) had a 'good' level of knowledge than those in the control group 72% (123/171) (adjusted OR 3.43; 95% CI 1.79-6.58). Mean (SD) decisional conflict scores were low in both groups, decision aid 1.71 (0.49), pamphlet 1.65 (0.55) (adjusted mean difference 0.10; 95% CI -0.02 to 0.22). There was no strong evidence of differences between the trial arms in the measures of psychological or acceptability outcomes. A tailored prenatal testing decision aid plays an important role in improving women's knowledge of first and second trimester screening tests and assisting them to make decisions about screening and diagnostic tests that are consistent with their values.
Kwamie, Aku; van Dijk, Han; Agyepong, Irene Akua
2014-06-16
Although there is widespread agreement that strong district manager decision-making improves health systems, understanding about how the design and implementation of capacity-strengthening interventions work is limited. The Ghana Health Service has adopted the Leadership Development Programme (LDP) as one intervention to support the development of management and leadership within district teams. This paper seeks to address how and why the LDP 'works' when it is introduced into a district health system in Ghana, and whether or not it supports systems thinking in district teams. We undertook a realist evaluation to investigate the outcomes, contexts, and mechanisms of the intervention. Building on two working hypotheses developed from our earlier work, we developed an explanatory case study of one rural district in the Greater Accra Region of Ghana. Data collection included participant observation, document review, and semi-structured interviews with district managers prior to, during, and after the intervention. Working backwards from an in-depth analysis of the context and observed short- and medium-term outcomes, we drew a causal loop diagram to explain interactions between contexts, outcomes, and mechanisms. The LDP was a valuable experience for district managers and teams were able to attain short-term outcomes because the novel approach supported teamwork, initiative-building, and improved prioritisation. However, the LDP was not institutionalised in district teams and did not lead to increased systems thinking. This was related to the context of high uncertainty within the district, and hierarchical authority of the system, which triggered the LDP's underlying goal of organisational control. Consideration of organisational context is important when trying to sustain complex interventions, as it seems to influence the gap between short- and medium-term outcomes. More explicit focus on systems thinking principles that enable district managers to better cope with their contexts may strengthen the institutionalisation of the LDP in the future.
2014-01-01
Background Although there is widespread agreement that strong district manager decision-making improves health systems, understanding about how the design and implementation of capacity-strengthening interventions work is limited. The Ghana Health Service has adopted the Leadership Development Programme (LDP) as one intervention to support the development of management and leadership within district teams. This paper seeks to address how and why the LDP ‘works’ when it is introduced into a district health system in Ghana, and whether or not it supports systems thinking in district teams. Methods We undertook a realist evaluation to investigate the outcomes, contexts, and mechanisms of the intervention. Building on two working hypotheses developed from our earlier work, we developed an explanatory case study of one rural district in the Greater Accra Region of Ghana. Data collection included participant observation, document review, and semi-structured interviews with district managers prior to, during, and after the intervention. Working backwards from an in-depth analysis of the context and observed short- and medium-term outcomes, we drew a causal loop diagram to explain interactions between contexts, outcomes, and mechanisms. Results The LDP was a valuable experience for district managers and teams were able to attain short-term outcomes because the novel approach supported teamwork, initiative-building, and improved prioritisation. However, the LDP was not institutionalised in district teams and did not lead to increased systems thinking. This was related to the context of high uncertainty within the district, and hierarchical authority of the system, which triggered the LDP’s underlying goal of organisational control. Conclusions Consideration of organisational context is important when trying to sustain complex interventions, as it seems to influence the gap between short- and medium-term outcomes. More explicit focus on systems thinking principles that enable district managers to better cope with their contexts may strengthen the institutionalisation of the LDP in the future. PMID:24935521
Teerawattananon, Yot; Russell, Steve
2008-01-01
Background This paper presents qualitative findings from an assessment of the acceptability of using economic evaluation among policy actors in Thailand. Using cost-utility data from two economic analyses a hypothetical case scenario was created in which policy actors had to choose between two competing interventions to include in a public health benefit package. The two competing interventions, laparoscopic cholecystectomy (LC) for gallbladder disease versus renal dialysis for chronic renal disease, were selected because they highlighted conflicting criteria influencing the allocation of healthcare resources. Methods Semi-structured interviews were conducted with 36 policy actors who play a major role in resource allocation decisions within the Thai healthcare system. These included 14 policy makers at the national level, five hospital directors, ten health professionals and seven academics. Results Twenty six out of 36 (72%) respondents were not convinced by the presentation of economic evaluation findings and chose not to support the inclusion of a proven cost-effective intervention (LC) in the benefit package due to ethical, institutional and political considerations. There were only six respondents, including three policy makers at national level, one hospital director, one health professional and one academic, (6/36, 17%) whose decisions were influenced by economic evaluation evidence. Conclusion This paper illustrates limitations of using economic evaluation information in decision making priorities of health care, perceived by different policy actors. It demonstrates that the concept of maximising health utility fails to recognise other important societal values in making health resource allocation decisions. PMID:18817579
Bhavnani, Vanita; Clarke, Aileen; Dowie, Jack; Kennedy, Andrew; Pell, Ian
2002-01-01
Abstract Introduction A qualitative pilot evaluation of two different decision interventions for the prophylactic oophorectomy (PO) decision: a Decision Chart and a computerized clinical guidance programme (CGP) was undertaken. The Decision Chart, representing current practice in decision interventions, presents population‐based information. The CGP elicits individual values to allow for quality‐adjusted life years to be calculated and an explicit guidance statement is given. Prophylactic oophorectomy involves removal of the ovaries as an adjunct to hysterectomy to prevent ovarian cancer. The decision is complex because the operation can affect a number of long‐term outcomes including breast cancer, coronary heart disease and osteoporosis. Methods Both interventions were based on the evidence and were administered by a facilitator. The Decision Chart is a file, which progressively reveals information in the form of bar charts. The CGP is a decision‐analysis based program integrating the results from a cluster of Markov cycle trees. The research evidence is incorporated with woman's individual risk factors, values and preferences. A purposive sample of 19 women awaiting hysterectomy used the decision interventions (10 CGP, nine Decision Chart). In‐depth semi‐structured interviews were undertaken. Interviews were transcribed and analysed to derive themes. Results Reactions to the different decision interventions were mixed. Both were seen as clarifying the decision. Some women found some of the tasks difficult (e.g. rating health status). Some were surprised by the ‘individualized’ guidance, which the CGP offered. The Decision Chart provided some with a sense of empowerment, although some found that it provided too much information. Conclusions Women were able to use both decision interventions. Both provided decision clarification. Problems were evident with both interventions, which give useful pointers for future development. These included the possibility for women to see how their individual risks of different outcomes are affected in the Decision Chart and enhanced explanation of the CGP tasks. Future design and evaluation of decision aids, will need to accommodate differences between patients in the desire for amount and type of information and level of involvement in the decision‐making process. PMID:12031056
Chan, Connie V.; Kaufman, David R.
2009-01-01
Health information technologies (HIT) have great potential to advance health care globally. In particular, HIT can provide innovative approaches and methodologies to overcome the range of access and resource barriers specific to developing countries. However, there is a paucity of models and empirical evidence informing the technology selection process in these settings. We propose a framework for selecting patient-oriented technologies in developing countries. The selection guidance process is structured by a set of filters that impose particular constraints and serve to narrow the space of possible decisions. The framework consists of three levels of factors: 1) situational factors, 2) the technology and its relationship with health interventions and with target patients, and 3) empirical evidence. We demonstrate the utility of the framework in the context of mobile phones for behavioral health interventions to reduce risk factors for cardiovascular disease. This framework can be applied to health interventions across health domains to explore how and whether available technologies can support delivery of the associated types of interventions and with the target populations. PMID:19796709
Doran, Diane; Clarke, Sean; Hayes, Laureen; Nincic, Vera
2014-09-01
Much has been written about interventions to improve the nursing work environment, yet little is known about their effectiveness. A Delphi survey of nurse experts was conducted to explore perceptions about workplace interventions in terms of feasibility and likelihood of positive impact on nurse outcomes such as job satisfaction and nurse retention. The interventions that received the highest ratings for likelihood of positive impact included: bedside handover to improve communication at shift report and promote patient-centred care; training program for nurses in dealing with violent or aggressive behaviour; development of charge nurse leadership team; training program focused on creating peer-supportive atmospheres and group cohesion; and schedule that recognizes work balance and family demands. The overall findings are consistent with the literature that highlights the importance of communication and teamwork, nurse health and safety, staffing and scheduling practices, professional development and leadership and mentorship. Nursing researchers and decision-makers should work in collaboration to implement and evaluate interventions for promoting practice environments characterized by effective communication and teamwork, professional growth and adequate support for the health and well-being of nurses.
Ali, Mohammed K; Shah, Seema; Tandon, Nikhil
2011-05-01
Diabetes care is complex, requiring motivated patients, providers, and systems that enable guideline-based preventative care processes, intensive risk-factor control, and positive lifestyle choices. However, care delivery in low- and middle-income countries (LMIC) is hindered by a compendium of systemic and personal factors. While electronic medical records (EMR) and computerized clinical decision-support systems (CDSS) have held great promise as interventions that will overcome system-level challenges to improving evidence-based health care delivery, evaluation of these quality improvement interventions for diabetes care in LMICs is lacking. OBJECTIVE AND DATA SOURCES: We reviewed the published medical literature (systematic search of MEDLINE database supplemented by manual searches) to assess the quantifiable and qualitative impacts of combined EMR-CDSS tools on physician performance and patient outcomes and their applicability in LMICs. Inclusion criteria prespecified the population (type 1 or 2 diabetes patients), intervention (clinical EMR-CDSS tools with enhanced functionalities), and outcomes (any process, self-care, or patient-level data) of interest. Case, review, or methods reports and studies focused on nondiabetes, nonclinical, or in-patient uses of EMR-CDSS were excluded. Quantitative and qualitative data were extracted from studies by separate single reviewers, respectively, and relevant data were synthesized. Thirty-three studies met inclusion criteria, originating exclusively from high-income country settings. Among predominantly experimental study designs, process improvements were consistently observed along with small, variable improvements in risk-factor control, compared with baseline and/or control groups (where applicable). Intervention benefits varied by baseline patient characteristics, features of the EMR-CDSS interventions, motivation and access to technology among patients and providers, and whether EMR-CDSS tools were combined with other quality improvement strategies (e.g., workflow changes, case managers, algorithms, incentives). Patients shared experiences of feeling empowered and benefiting from increased provider attention and feedback but also frustration with technical difficulties of EMR-CDSS tools. Providers reported more efficient and standardized processes plus continuity of care but also role tensions and "mechanization" of care. This narrative review supports EMR-CDSS tools as innovative conduits for structuring and standardizing care processes but also highlights setting and selection limitations of the evidence reviewed. In the context of limited resources, individual economic hardships, and lack of structured systems or trained human capital, this review reinforces the need for well-designed investigations evaluating the role and feasibility of technological interventions (customized to each LMIC's locality) in clinical decision making for diabetes care. © 2011 Diabetes Technology Society.
Rubin, Allen
2014-07-01
This article describes a rationale for a focus on case studies that would provide a database of single-group pre-post mean effect sizes that could be analyzed to identify which service provision characteristics are associated with more desirable outcomes when interventions supported by randomized clinical trials are adapted in everyday practice settings. In addition, meta-analyses are proposed that would provide benchmarks that agency practitioners could compare with their mean effect size to inform their decisions about whether to continue, modify, or replace existing efforts to adopt or adapt a specific research-supported treatment. Social workers should be at the forefront of the recommended studies in light of the profession's emphasis on applied research in real-world settings and the prominence of social work practitioners in such settings.
To stand back or step in? Exploring the responses of employees who observe workplace bullying.
MacCurtain, Sarah; Murphy, Caroline; O'Sullivan, Michelle; MacMahon, Juliet; Turner, Tom
2018-01-01
Bullying remains a pervasive problem in healthcare, and evidence suggests systems in place are not utilised due to perceptions of ineffectiveness and inequity. This study examines bystander responses to bullying and factors that influence decisions to intervene. We explore relationships between bystanders' perceptions of psychological safety across three levels (organisation, supervisor and colleague) and reactions to witnessing bullying. We suggest psychological safety would be positively associated with the decision to intervene. Findings indicate the most pervasive reaction to witnessing incidents of bullying is to discuss with colleagues, a low-involvement reaction. We find perceptions of supervisory and organisational safety/support are positively related to high-involvement decisions such as formal reporting of the incidents, highlighting the importance of support from those in power. However, perceptions of collegial support may lead to low-involvement responses, which risk reinforcing and underpinning dysfunctional organisational dynamics by providing informal social and emotional responses that may substitute more formal organisational responses to this persistent problem. This study highlights the importance of support from individuals in power if bystanders are to feel comfortable making high-involvement interventions. © 2017 John Wiley & Sons Ltd.
A Review of Shared Decision-Making and Patient Decision Aids in Radiation Oncology.
Woodhouse, Kristina Demas; Tremont, Katie; Vachani, Anil; Schapira, Marilyn M; Vapiwala, Neha; Simone, Charles B; Berman, Abigail T
2017-06-01
Cancer treatment decisions are complex and may be challenging for patients, as multiple treatment options can often be reasonably considered. As a result, decisional support tools have been developed to assist patients in the decision-making process. A commonly used intervention to facilitate shared decision-making is a decision aid, which provides evidence-based outcomes information and guides patients towards choosing the treatment option that best aligns with their preferences and values. To ensure high quality, systematic frameworks and standards have been proposed for the development of an optimal aid for decision making. Studies have examined the impact of these tools on facilitating treatment decisions and improving decision-related outcomes. In radiation oncology, randomized controlled trials have demonstrated that decision aids have the potential to improve patient outcomes, including increased knowledge about treatment options and decreased decisional conflict with decision-making. This article provides an overview of the shared-decision making process and summarizes the development, validation, and implementation of decision aids as patient educational tools in radiation oncology. Finally, this article reviews the findings from decision aid studies in radiation oncology and offers various strategies to effectively implement shared decision-making into clinical practice.
Embedding technology into inter-professional best practices in home safety evaluation.
Burns, Suzanne Perea; Pickens, Noralyn Davel
2017-08-01
To explore inter-professional home evaluators' perspectives and needs for building useful and acceptable decision-support tools for the field of home modifications. Twenty semi-structured interviews were conducted with a range of home modification professionals from different regions of the United States. The interview transcripts were analyzed with a qualitative, descriptive, perspective approach. Technology supports current best practice and has potential to inform decision making through features that could enhance home evaluation processes, quality, efficiency and inter-professional communication. Technological advances with app design have created numerous opportunities for the field of home modifications. Integrating technology and inter-professional best practices will improve home safety evaluation and intervention development to meet client-centred and societal needs. Implications for rehabilitation Understanding home evaluators technology needs for home safety evaluations contributes to the development of app-based assessments. Integrating inter-professional perspectives of best practice and technological needs in an app for home assessments improves processes. Novice and expert home evaluators would benefit from decision support systems embedded in app-based assessments. Adoption of app-based assessment would improve efficiency while remaining client-centred.
Espín Balbino, Jaime; Brosa Riestra, Max; Oliva Moreno, Juan; Trapero-Bertran, Marta
2015-01-01
The development of the economic evaluation of health care interventions has become a support tool in making decisions on pricing and reimbursement of new health interventions. The increasingly extensive application of these techniques has led to the identification of particular situations in which, for various reasons, it may be reasonable to take into account special considerations when applying the general principles of economic evaluation. In this article, which closes a series of three, we will discuss, using the Metaplan technique, about the economic evaluation of health interventions in special situations such as rare diseases and end of life treatments, as well as consideration of externalities in assessments, finally pointing out some research areas to solve the main problems identified in these fields.
Pronk, Nicolaas P; Boucher, Jackie L; Gehling, Eve; Boyle, Raymond G; Jeffery, Robert W
2002-10-01
To describe an integrated, operational platform from which mail- and telephone-based health promotion programs are implemented and to specifically relate this approach to weight management programming in a managed care setting. In-depth description of essential systems structures, including people, computer technology, and decision-support protocols. The roles of support staff, counselors, a librarian, and a manager in delivering a weight management program are described. Information availability using computer technology is a critical component in making this system effective and is presented according to its architectural layout and design. Protocols support counselors and administrative support staff in decision making, and a detailed flowchart presents the layout of this part of the system. This platform is described in the context of a weight management program, and we present baseline characteristics of 1801 participants, their behaviors, self-reported medical conditions, and initial pattern of enrollment in the various treatment options. Considering the prevalence and upward trend of overweight and obesity in the United States, a need exists for robust intervention platforms that can systematically support multiple types of programs. Weight management interventions implemented using this platform are scalable to the population level and are sustainable over time despite the limits of defined resources and budgets. The present article describes an innovative approach to reaching a large population with effective programs in an integrated, coordinated, and systematic manner. This comprehensive, robust platform represents an example of how obesity prevention and treatment research may be translated into the applied setting.
Burrus, Barri B.; Scott, Alicia Richmond
2012-01-01
Adolescent parents and their children are at increased risk for adverse short- and long-term health and social outcomes. Effective interventions are needed to support these young families. We studied the evidence base and found a dearth of rigorously evaluated programs. Strategies from successful interventions are needed to inform both intervention design and policies affecting these adolescents. The lack of rigorous evaluations may be attributable to inadequate emphasis on and sufficient funding for evaluation, as well as to challenges encountered by program evaluators working with this population. More rigorous program evaluations are urgently needed to provide scientifically sound guidance for programming and policy decisions. Evaluation lessons learned have implications for other vulnerable populations. PMID:22897541
Worksite nutrition supports and sugar-sweetened beverage consumption.
Hipp, J A; Becker, H V; Marx, C M; Tabak, R G; Brownson, R C; Yang, L
2016-06-01
This study examined the link between worksite environmental supports for nutrition behaviours and sugar-sweetened beverage (SSB) consumption and offers insight into potential intervention points for reducing SSB consumption and combatting overweight and obesity. Perceived worksite supports for healthy nutrition and self-reported SSB consumption were analysed for 2,015 working adults in the state of Missouri using a subset of questions from the Supports at Home and Work for Maintaining Energy Balance (SHOW-ME) study. Employees' use of vending facilities and the availability of water coolers/water bottles was significantly associated with increased SSB consumption, while use of cafeterias was significantly associated with decreased SSB consumption. Symbols or signs to identify healthy alternatives were significantly associated with sports drink consumption. This study supports previous work indicating the worksite as a necessary environment for nutrition interventions. When choices (vending and cafeteria) are provided, employees report making healthier decisions. For worksites without cafeterias, alternatives should be explored including mobile food trucks and farmer's markets.
Worksite nutrition supports and sugar‐sweetened beverage consumption
Becker, H. V.; Marx, C. M.; Tabak, R. G.; Brownson, R. C.; Yang, L.
2016-01-01
Summary Objective This study examined the link between worksite environmental supports for nutrition behaviours and sugar‐sweetened beverage (SSB) consumption and offers insight into potential intervention points for reducing SSB consumption and combatting overweight and obesity. Methods Perceived worksite supports for healthy nutrition and self‐reported SSB consumption were analysed for 2,015 working adults in the state of Missouri using a subset of questions from the Supports at Home and Work for Maintaining Energy Balance (SHOW‐ME) study. Results Employees' use of vending facilities and the availability of water coolers/water bottles was significantly associated with increased SSB consumption, while use of cafeterias was significantly associated with decreased SSB consumption. Symbols or signs to identify healthy alternatives were significantly associated with sports drink consumption. Conclusions This study supports previous work indicating the worksite as a necessary environment for nutrition interventions. When choices (vending and cafeteria) are provided, employees report making healthier decisions. For worksites without cafeterias, alternatives should be explored including mobile food trucks and farmer's markets. PMID:29071097
Saronga, Happiness Pius; Duysburgh, Els; Massawe, Siriel; Dalaba, Maxwell Ayindenaba; Wangwe, Peter; Sukums, Felix; Leshabari, Melkizedeck; Blank, Antje; Sauerborn, Rainer; Loukanova, Svetla
2017-08-07
QUALMAT project aimed at improving quality of maternal and newborn care in selected health care facilities in three African countries. An electronic clinical decision support system was implemented to support providers comply with established standards in antenatal and childbirth care. Given that health care resources are limited and interventions differ in their potential impact on health and costs (efficiency), this study aimed at assessing cost-effectiveness of the system in Tanzania. This was a quantitative pre- and post- intervention study involving 6 health centres in rural Tanzania. Cost information was collected from health provider's perspective. Outcome information was collected through observation of the process of maternal care. Incremental cost-effectiveness ratios for antenatal and childbirth care were calculated with testing of four models where the system was compared to the conventional paper-based approach to care. One-way sensitivity analysis was conducted to determine whether changes in process quality score and cost would impact on cost-effectiveness ratios. Economic cost of implementation was 167,318 USD, equivalent to 27,886 USD per health center and 43 USD per contact. The system improved antenatal process quality by 4.5% and childbirth care process quality by 23.3% however these improvements were not statistically significant. Base-case incremental cost-effectiveness ratios of the system were 2469 USD and 338 USD per 1% change in process quality for antenatal and childbirth care respectively. Cost-effectiveness of the system was sensitive to assumptions made on costs and outcomes. Although the system managed to marginally improve individual process quality variables, it did not have significant improvement effect on the overall process quality of care in the short-term. A longer duration of usage of the electronic clinical decision support system and retention of staff are critical to the efficiency of the system and can reduce the invested resources. Realization of gains from the system requires effective implementation and an enabling healthcare system. Registered clinical trial at www.clinicaltrials.gov ( NCT01409824 ). Registered May 2009.
eHealth in the future of medications management: personalisation, monitoring and adherence.
Car, Josip; Tan, Woan Shin; Huang, Zhilian; Sloot, Peter; Franklin, Bryony Dean
2017-04-05
Globally, healthcare systems face major challenges with medicines management and medication adherence. Medication adherence determines medication effectiveness and can be the single most effective intervention for improving health outcomes. In anticipation of growth in eHealth interventions worldwide, we explore the role of eHealth in the patients' medicines management journey in primary care, focusing on personalisation and intelligent monitoring for greater adherence. eHealth offers opportunities to transform every step of the patient's medicines management journey. From booking appointments, consultation with a healthcare professional, decision-making, medication dispensing, carer support, information acquisition and monitoring, to learning about medicines and their management in daily life. It has the potential to support personalisation and monitoring and thus lead to better adherence. For some of these dimensions, such as supporting decision-making and providing reminders and prompts, evidence is stronger, but for many others more rigorous research is urgently needed. Given the potential benefits and barriers to eHealth in medicines management, a fine balance needs to be established between evidence-based integration of technologies and constructive experimentation that could lead to a game-changing breakthrough. A concerted, transdisciplinary approach adapted to different contexts, including low- and middle-income contries is required to realise the benefits of eHealth at scale.
Pelto, Gretel H; Armar-Klemesu, Margaret; Siekmann, Jonathan; Schofield, Dominic
2013-01-01
The concept of a focused ethnographic study (FES) emerged as a new methodology to answer specific sets of questions that are required by agencies, policymakers, programme planners or by project implementation teams in order to make decisions about future actions with respect to social, public health or nutrition interventions, and for public-private partnership activities. This paper describes the FES on complementary feeding that was commissioned by the Global Alliance for Improved Nutrition and highlights findings from studies conducted in three very different country contexts (Ghana, South Africa and Afghanistan) burdened by high levels of malnutrition in older infants and young children (IYC). The findings are analysed from the perspective of decision-making for future interventions. In Ghana, a primary finding was that in urban areas the fortified, but not instant cereal, which was being proposed, would not be an appropriate intervention, given the complex balancing of time, costs and health concerns of caregivers. In both urban and rural South Africa, home fortification products such as micronutrient powders and small quantity, lipid-based nutrient supplements (LNS) are potentially feasible interventions, and would require thoughtful behaviour change communication programmes to support their adoption. Among the important results for future decision-making for interventions in Afghanistan are the findings that there is little cultural recognition of the concept of special foods for infants, and that within households food procurement for IYC are in the hands of men, whereas food preparation and feeding are women's responsibilities. © 2012 Blackwell Publishing Ltd.
[Treatment Decision-Making Process of Cancer Patients].
Lee, Shiu-Yu C Katie
2016-10-01
The decision-making process that is used by cancer patients to determine their treatment has become more multi-foci, difficult and complicated in recent years. This has in part been attributed to the increasing incidence rate of cancer in Taiwan and the rapid development of medical technologies and treatment modalities. Oncology nurses must assist patients and family to make informed and value-based treatment decisions. Decision-making is an information process that involves appraising one's own expectation and values based on his/her knowledge on cancer and treatment options. Because cancer treatment involves risks and uncertainties, and impacts quality of life, the treatment decision-making for cancer is often stressful, or even conflicting. This paper discusses the decision-making behaviors of cancer patients and the decisional conflict, participation, and informational needs that are involved in cancer treatment. The trend toward shared decision-making and decisional support will be also explored in order to facilitate the future development of appropriate clinical interventions and research.
Intent to sustain use of a mental health innovation by school providers: What matters most?
Livet, Melanie; Yannayon, Mary; Kocher, Kelly; McMillen, Janey
2017-01-01
Despite innovations being routinely introduced in schools to support the mental health of students, few are successfully maintained over time. This study explores the role of innovation characteristics, individual attitudes and skills, and organizational factors in school providers’ decisions to continue use of Centervention, a technology-based tool that supports implementation of evidence-based mental health interventions (EBIs). Data were collected from 44 providers through online surveys following use of Centervention over a one-year period. When considered with individual and organizational factors, experience with Centervention (usability, usefulness, and satisfaction) was found to be the most influential predictor of intent to sustain use. Results reinforce the importance of (1) differentiating between factors that predict initial adoption vs. those that enable sustainability and (2) tailoring sustainability decision models to the nature of the innovation. They also support the need to incorporate strategies to enhance provider experience during implementation of an innovation. PMID:29403540
Robinson, Jennifer L.; Narasimhan, Manjulaa; Amin, Avni; Morse, Sophie; Beres, Laura K.; Kennedy, Caitlin Elizabeth
2017-01-01
Background Many women living with HIV experience gendered power inequalities, particularly in their intimate relationships, that prevent them from achieving optimal sexual and reproductive health (SRH) and exercising their rights. We assessed the effectiveness of interventions to improve self-efficacy and empowerment of women living with HIV to make SRH decisions through a systematic review. Methods and findings We included peer-reviewed articles indexed in PubMed, PsycINFO, CINAHL, Embase, and Scopus published through January 3, 2017, presenting multi-arm or pre-post intervention evaluations measuring one of the following outcomes: (1) self-efficacy, empowerment, or measures of SRH decision-making ability, (2) SRH behaviors (e.g., condom use, contraceptive use), or (3) SRH outcomes (e.g., sexually transmitted infections [STIs]). Twenty-one studies evaluating 11 intervention approaches met the inclusion criteria. All were conducted in the United States or sub-Saharan Africa. Two high-quality randomized controlled trials (RCTs) showed significant decreases in incident gonorrhea and chlamydia. Sixteen studies measuring condom use generally found moderate increases associated with the intervention, including in higher-quality RCTs. Findings on contraceptive use, condom self-efficacy, and other empowerment measures (e.g., sexual communication, equitable relationship power) were mixed. Studies were limited by small sample sizes, high loss to follow-up, and high reported baseline condom use. Conclusions While more research is needed, the limited existing evidence suggests that these interventions may help support the SRH and rights of women living with HIV. This review particularly highlights the importance of these interventions for preventing STIs, which present a significant health burden for women living with HIV that is rarely addressed holistically. Empowerment-based interventions should be considered as part of a comprehensive package of STI and other SRH services for women living with HIV. PMID:28837562
Robinson, Jennifer L; Narasimhan, Manjulaa; Amin, Avni; Morse, Sophie; Beres, Laura K; Yeh, Ping Teresa; Kennedy, Caitlin Elizabeth
2017-01-01
Many women living with HIV experience gendered power inequalities, particularly in their intimate relationships, that prevent them from achieving optimal sexual and reproductive health (SRH) and exercising their rights. We assessed the effectiveness of interventions to improve self-efficacy and empowerment of women living with HIV to make SRH decisions through a systematic review. We included peer-reviewed articles indexed in PubMed, PsycINFO, CINAHL, Embase, and Scopus published through January 3, 2017, presenting multi-arm or pre-post intervention evaluations measuring one of the following outcomes: (1) self-efficacy, empowerment, or measures of SRH decision-making ability, (2) SRH behaviors (e.g., condom use, contraceptive use), or (3) SRH outcomes (e.g., sexually transmitted infections [STIs]). Twenty-one studies evaluating 11 intervention approaches met the inclusion criteria. All were conducted in the United States or sub-Saharan Africa. Two high-quality randomized controlled trials (RCTs) showed significant decreases in incident gonorrhea and chlamydia. Sixteen studies measuring condom use generally found moderate increases associated with the intervention, including in higher-quality RCTs. Findings on contraceptive use, condom self-efficacy, and other empowerment measures (e.g., sexual communication, equitable relationship power) were mixed. Studies were limited by small sample sizes, high loss to follow-up, and high reported baseline condom use. While more research is needed, the limited existing evidence suggests that these interventions may help support the SRH and rights of women living with HIV. This review particularly highlights the importance of these interventions for preventing STIs, which present a significant health burden for women living with HIV that is rarely addressed holistically. Empowerment-based interventions should be considered as part of a comprehensive package of STI and other SRH services for women living with HIV.
A systematic review of chronic disease management interventions in primary care.
Reynolds, Rebecca; Dennis, Sarah; Hasan, Iqbal; Slewa, Jan; Chen, Winnie; Tian, David; Bobba, Sangeetha; Zwar, Nicholas
2018-01-09
Primary and community care are key settings for the effective management of long term conditions. We aimed to evaluate the pattern of health outcomes in chronic disease management interventions for adults with physical health problems implemented in primary or community care settings. The methods were based on our previous review published in 2006. We performed database searches for articles published from 2006 to 2014 and conducted a systematic review with narrative synthesis using the Cochrane Effective Practice and Organisation of Care taxonomy to classify interventions and outcomes. The interventions were mapped to Chronic Care Model elements. The pattern of outcomes related to interventions was summarized by frequency of statistically significant improvements in health care provision and patient outcomes. A total of 9589 journal articles were retrieved from database searches and snowballing. After screening and verification, 165 articles that detailed 157 studies were included. There were few studies with Health Care Organization (1.9% of studies) or Community Resources (0.6% of studies) as the primary intervention element. Self-Management Support interventions (45.8% of studies) most frequently resulted in improvements in patient-level outcomes. Delivery System Design interventions (22.6% of studies) showed benefits in both professional and patient-level outcomes for a narrow range of conditions. Decision Support interventions (21.3% of studies) had impact limited to professional-level outcomes, in particular use of medications. The small number of studies of Clinical Information System interventions (8.9%) showed benefits for both professional- and patient-level outcomes. The published literature has expanded substantially since 2006. This review confirms that Self-Management Support is the most frequent Chronic Care Model intervention that is associated with statistically significant improvements, predominately for diabetes and hypertension.
Hospital do-not-resuscitate orders: why they have failed and how to fix them.
Yuen, Jacqueline K; Reid, M Carrington; Fetters, Michael D
2011-07-01
Do-not-resuscitate (DNR) orders have been in use in hospitals nationwide for over 20 years. Nonetheless, as currently implemented, they fail to adequately fulfill their two intended purposes--to support patient autonomy and to prevent non-beneficial interventions. These failures lead to serious consequences. Patients are deprived of the opportunity to make informed decisions regarding resuscitation, and CPR is performed on patients who would have wanted it withheld or are harmed by the procedure. This article highlights the persistent problems with today's use of inpatient DNR orders, i.e., DNR discussions do not occur frequently enough and occur too late in the course of patients' illnesses to allow their participation in resuscitation decisions. Furthermore, many physicians fail to provide adequate information to allow patients or surrogates to make informed decisions and inappropriately extrapolate DNR orders to limit other treatments. Because these failings are primarily due to systemic factors that result in deficient physician behaviors, we propose strategies to target these factors including changing the hospital culture, reforming hospital policies on DNR discussions, mandating provider communication skills training, and using financial incentives. These strategies could help overcome existing barriers to proper DNR discussions and align the use of DNR orders closer to their intended purposes of supporting patient self-determination and avoiding non-beneficial interventions at the end of life.
[School readiness and community mobilization: study retrospective in a Montreal area].
Laurin, Isabelle; Bilodeau, Angèle; Chartrand, Sébastien
2012-02-22
This article presents a modelling of the collective decision-making process by which a community-based population-level intervention transformed the organization of early childhood services in a Montréal community from 2001 to 2006. Multisectoral players from a childhood/family issue table. The chosen territory is one of the most multi-ethnic and poorest neighbourhoods of Montréal. The intervention being examined is Understanding the Early Years (UEY), a Canada-wide initiative aiming to strengthen communities' capacity to use quality information to support the thought process relating to the organization of early childhood services. Twelve Canadian regions took part, including Montréal. The time chart for the collective decision-making process presents the events that significantly influenced the procedure: establishment of an intersectoral working committee, production of a portrait of the neighbourhood, think tank, development and implementation of the Passage maison-école [home-to-school] and Femmes-Relais [relay women] projects, retreats, and inclusion of school readiness as a priority focus area in the neighbourhood's three-year action plan. Also presented are the contextual factors that influenced decision making: the neighbourhood's cooperation and coordination history, the researcher's involvement, financial support and shared leadership. The benefits of UEY-Montréal in this territory extended beyond 2006. With respect to current priorities for action in early childhood, this territory is a good example of mobilization for school readiness.
Larkin, Amanda; Hutton, Paul
2017-10-01
Background The evidence on factors that may influence treatment decisional capacity ('capacity') in psychosis has yet to be comprehensively synthesised, which limits the development of effective strategies to improve or support it. Aims To determine the direction, magnitude and reliability of the relationship between capacity in psychosis and a range of clinical, demographic and treatment-related factors, thus providing a thorough synthesis of current knowledge. Method We conducted a systematic review, meta-analytical and narrative synthesis of factors that help or hinder treatment decision-making capacity in psychosis, assessing the direction, magnitude, significance and reliability of reported associations. Results We identified 23 relevant studies ( n = l823). Psychotic symptoms had small, moderate and strong associations with appreciation, understanding and reasoning respectively. Both verbal cognitive functioning and duration of education had small to moderate correlations with understanding and reasoning. Better capacity was also associated with better insight, better metacognitive ability, higher anxiety and lower perceived coercion. No linear relationship with depression was observed. Interventions linked to improved capacity over time were in-patient care, information simplification, shared decision-making and metacognitive training. Conclusions Although much is known about the role of symptoms and other clinical variables, effective and acceptable psychological interventions to support capacity in this group are lacking. © The Royal College of Psychiatrists 2017.
Vieira, Edgar Ramos; Gadotti, Inae Caroline; Colosi, Conner; Rylak, James; Wylie, Travis; Armijo-Olivo, Susan
2017-01-01
Purpose: It is unclear how physical therapists in Florida currently treat people with knee osteoarthritis and whether current best evidence is used in clinical decision making. Methods: We conducted a survey of physical therapists in Florida. We assessed the perceived effectiveness and actual use of physical therapy (PT) interventions and quantified the association between the actual use of interventions and different characteristics of physical therapists. Results: A total of 413 physical therapists completed the survey. Most respondents perceived therapeutic exercise (94%) and education (93%) as being effective or very effective. Interventions least perceived as effective or very effective were electrotherapy (28%), wedged insole (20%), and ultrasound (19%). Physical therapists who followed the principles of evidence-based practice were more likely to use therapeutic exercise (OR 3.89; 95% CI: 1.21, 12.54) and education (OR 3.63; 95% CI: 1.40, 9.43) and less likely to use ultrasound (OR 0.32; 95% CI: 0.16, 0.63) and electrotherapy (OR 0.32; 95% CI: 0.17, 0.58). Results also indicated that older physical therapists were more likely to use ultrasound (OR 3.57; 95% CI: 1.60, 7.96), electrotherapy (OR 2.53; 95% CI: 1.17, 5.47), kinesiology tape (OR 3.82; 95% CI: 1.59, 9.18), and ice (OR 1.95; 95% CI: 1.02, 3.73). Conclusions: In line with clinical guidelines, most physical therapists use therapeutic exercise and education to treat people with knee osteoarthritis. However, interventions that lack scientific support, such as electrotherapy and ultrasound, are still used. A modifiable therapist characteristic, adherence to evidence-based practice, is positively associated with the use of interventions supported by scientific evidence. PMID:28154442
Zawacki, Tina; Norris, Jeanette; Hessler, Danielle M; Morrison, Diane M; Stoner, Susan A; George, William H; Davis, Kelly Cue; Abdallah, Devon A
2009-06-01
This experiment examined the effects of women's relationship motivation, partner familiarity, and alcohol consumption on sexual decision making. Women completed an individual difference measure of relationship motivation and then were randomly assigned to partner familiarity condition (low, high) and to alcohol consumption condition (high dose, low dose, no alcohol, placebo). Then women read and projected themselves into a scenario of a sexual encounter. Relationship motivation and partner familiarity interacted with intoxication to influence primary appraisals of relationship potential. Participants' primary and secondary relationship appraisals mediated the effects of women's relationship motivation, partner familiarity, and intoxication on condom negotiation, sexual decision abdication, and unprotected sex intentions. These findings support a cognitive mediation model of women's sexual decision making and identify how individual and situational factors interact to shape alcohol's influences on cognitive appraisals that lead to risky sexual decisions. This knowledge can inform empirically based risky sex interventions.
Innovation in Data-Driven Decision Making within SWPBIS Systems: Welcome to the Gallery Walk
ERIC Educational Resources Information Center
Kennedy, Michael J.; Mimmack, Jody; Flannery, K. Brigid
2012-01-01
Schools implementing school-wide positive behavioral interventions and supports (SWPBIS) at the high school level face the same challenges as elementary and middle schools, but also encounter an additional set of barriers all their own. To name but a few, these barriers include the need to focus on dropout prevention, postsecondary outcomes,…
ERIC Educational Resources Information Center
Collins, J. Michael; Odders-White, Elizabeth
2015-01-01
Concerns about consumers' ability to manage their finances have triggered a range of proposals, including interventions aimed at elementary school students. The goal of these approaches is to improve lifelong economic decision making, but the evidence supporting their efficacy is thin. In this article, the authors discuss the trend toward…
The treatment implementation advisor: a component of the GypsES project
Michael C. Saunders; Michael A. Foster
1991-01-01
The treatment implementation advisor is one of the knowledge based advisory modules of GypsES, a knowledge system environment for decision support in gypsy moth management. Its function is to provide detailed advice on intervention tactics for gypsy moth: e.g. aerial and ground application of insecticides and microbials, inundative or augmentative releases of...
Wang, Z; Xu, J
2016-11-01
WHAT IS KNOWN ON THE SUBJECT?: Since the promulgation of the one-child policy in 1979, most families have had only one child. Shidu parents, as a special group of Sichuan 2008 earthquake victims, are parents who lost their only child in the earthquake. WHAT DOES THIS PAPER ADDED TO EXISTING KNOWLEDGE?: Shidu parents are an especially vulnerable group in China. This study was the first systematic population-based investigation to explore quality of life (QOL) risk factors and to examine the moderating role of social support between post-traumatic stress disorder (PTSD) and QOL in Shidu parents. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: The results found that further social support should be provided as a long-term mental health intervention strategy to promote QOL in Shidu parents suffering from PTSD. The research may provide information to assist psychologists in post-disaster mental health interventions with Shidu parents and to inspire decision makers who work with similar groups in other countries. Introduction Because of the one-child policy in force in China from 1979 to 2015, most parents were only allowed to have a single child. Of all the Sichuan earthquake victims, there was a special group called the Shidu parents who lost their only child in the earthquake. Aim The aim of this study was to identify the related risk factors for the Shidu parents' quality of life (QOL) and to examine the role of social support as a moderator between post-traumatic stress disorder (PTSD) and QOL in Shidu parents. Method A cross-sectional sample survey was conducted to collect data from 10 heavily damaged counties in Sichuan province (n = 176). Discussion PTSD was found to be negatively associated with the Shidu parents' QOL, and social support had a major effect on moderating the association between the PTSD and QOL in Shidu parents. Implications for practice Developing suitable social support could be considered a key part of psychological intervention strategies to promote QOL in Shidu parents suffering from PTSD. This study could provide decision support for mental health professionals (e.g. nurses and psychiatrists) working on mental crisis interventions with Shidu parents. © 2016 John Wiley & Sons Ltd.
2012-01-01
Background Little information is known about what information women want when choosing a birth facility. The objective of this study was to inform the development of a consumer decision support tool about birth facility by identifying the information needs of maternity care consumers in Queensland, Australia. Methods Participants were 146 women residing in both urban and rural areas of Queensland, Australia who were pregnant and/or had recently given birth. A cross-sectional survey was administered in which participants were asked to rate the importance of 42 information items to their decision-making about birth facility. Participants could also provide up to ten additional information items of interest in an open-ended question. Results On average, participants rated 30 of the 42 information items as important to decision-making about birth facility. While the majority of information items were valued by most participants, those related to policies about support people, other women’s recommendations about the facility, freedom to choose one’s preferred position during labour and birth, the aesthetic quality of the facility, and access to on-site neonatal intensive care were particularly widely valued. Additional items of interest frequently focused on postnatal care and support, policies related to medical intervention, and access to water immersion. Conclusions The women surveyed had significant and diverse information needs for decision-making about birth facility. These findings have immediate applications for the development of decision support tools about birth facility, and highlight the need for tools which provide a large volume of information in an accessible and user-friendly format. These findings may also be used to guide communication and information-sharing by care providers involved in counselling pregnant women and families about their options for birth facility or providing referrals to birth facilities. PMID:22708648
Thompson, Rachel; Wojcieszek, Aleena M
2012-06-18
Little information is known about what information women want when choosing a birth facility. The objective of this study was to inform the development of a consumer decision support tool about birth facility by identifying the information needs of maternity care consumers in Queensland, Australia. Participants were 146 women residing in both urban and rural areas of Queensland, Australia who were pregnant and/or had recently given birth. A cross-sectional survey was administered in which participants were asked to rate the importance of 42 information items to their decision-making about birth facility. Participants could also provide up to ten additional information items of interest in an open-ended question. On average, participants rated 30 of the 42 information items as important to decision-making about birth facility. While the majority of information items were valued by most participants, those related to policies about support people, other women's recommendations about the facility, freedom to choose one's preferred position during labour and birth, the aesthetic quality of the facility, and access to on-site neonatal intensive care were particularly widely valued. Additional items of interest frequently focused on postnatal care and support, policies related to medical intervention, and access to water immersion. The women surveyed had significant and diverse information needs for decision-making about birth facility. These findings have immediate applications for the development of decision support tools about birth facility, and highlight the need for tools which provide a large volume of information in an accessible and user-friendly format. These findings may also be used to guide communication and information-sharing by care providers involved in counselling pregnant women and families about their options for birth facility or providing referrals to birth facilities.
Snooks, Helen Anne; Carter, Ben; Dale, Jeremy; Foster, Theresa; Humphreys, Ioan; Logan, Philippa Anne; Lyons, Ronan Anthony; Mason, Suzanne Margaret; Phillips, Ceri James; Sanchez, Antonio; Wani, Mushtaq; Watkins, Alan; Wells, Bridget Elizabeth; Whitfield, Richard; Russell, Ian Trevor
2014-01-01
Objective To evaluate effectiveness, safety and cost-effectiveness of Computerised Clinical Decision Support (CCDS) for paramedics attending older people who fall. Design Cluster trial randomised by paramedic; modelling. Setting 13 ambulance stations in two UK emergency ambulance services. Participants 42 of 409 eligible paramedics, who attended 779 older patients for a reported fall. Interventions Intervention paramedics received CCDS on Tablet computers to guide patient care. Control paramedics provided care as usual. One service had already installed electronic data capture. Main Outcome Measures Effectiveness: patients referred to falls service, patient reported quality of life and satisfaction, processes of care. Safety Further emergency contacts or death within one month. Cost-Effectiveness Costs and quality of life. We used findings from published Community Falls Prevention Trial to model cost-effectiveness. Results 17 intervention paramedics used CCDS for 54 (12.4%) of 436 participants. They referred 42 (9.6%) to falls services, compared with 17 (5.0%) of 343 participants seen by 19 control paramedics [Odds ratio (OR) 2.04, 95% CI 1.12 to 3.72]. No adverse events were related to the intervention. Non-significant differences between groups included: subsequent emergency contacts (34.6% versus 29.1%; OR 1.27, 95% CI 0.93 to 1.72); quality of life (mean SF12 differences: MCS −0.74, 95% CI −2.83 to +1.28; PCS −0.13, 95% CI −1.65 to +1.39) and non-conveyance (42.0% versus 36.7%; OR 1.13, 95% CI 0.84 to 1.52). However ambulance job cycle time was 8.9 minutes longer for intervention patients (95% CI 2.3 to 15.3). Average net cost of implementing CCDS was £208 per patient with existing electronic data capture, and £308 without. Modelling estimated cost per quality-adjusted life-year at £15,000 with existing electronic data capture; and £22,200 without. Conclusions Intervention paramedics referred twice as many participants to falls services with no difference in safety. CCDS is potentially cost-effective, especially with existing electronic data capture. Trial Registration ISRCTN Register ISRCTN10538608 PMID:25216281
Hanley, Janet; Wild, Sarah; Pagliari, Claudia; Paterson, Mary; Lewis, Steff; Sheikh, Aziz; Krishan, Ashma; Stoddart, Andrew; Padfield, Paul
2013-01-01
Objective To determine if an intervention consisting of telemonitoring and supervision by usual primary care clinicians of home self measured blood pressure and optional patient decision support leads to clinically important reductions in daytime systolic and diastolic ambulatory blood pressure in patients with uncontrolled blood pressure. Design Multicentre randomised controlled trial. Setting 20 primary care practices in south east Scotland. Participants 401 people aged 29-95 years with uncontrolled blood pressure (mean daytime ambulatory measurement ≥135/85 mm Hg but ≤210/135 mm Hg). Intervention Self measurement and transmission of blood pressure readings to a secure website for review by the attending nurse or doctor and participant, with optional automated patient decision support by text or email for six months. Main outcome measures Blinded assessment of mean daytime systolic ambulatory blood pressure six months after randomisation. Results 200 participants were randomised to the intervention and 201 to usual care; primary outcome data were available for 90% of participants (182 and 177, respectively). The mean difference in daytime systolic ambulatory blood pressure adjusted for baseline and minimisation factors between intervention and usual care was 4.3 mm Hg (95% confidence interval 2.0 to 6.5; P=0.0002) and for daytime diastolic ambulatory blood pressure was 2.3 mm Hg (0.9 to 3.6; P=0.001), with higher values in the usual care group. The intervention was associated with a mean increase of one general practitioner (95% confidence interval 0.5 to 1.6; P=0.0002) and 0.6 (0.1 to 1.0; P=0.01) practice nurse consultations during the course of the study. Conclusions Supported self monitoring by telemonitoring is an effective method for achieving clinically important reductions in blood pressure in patients with uncontrolled hypertension in primary care settings. However, it was associated with increase in use of National Health Service resources. Further research is required to determine if the reduction in blood pressure is maintained in the longer term and if the intervention is cost effective. Trial registration Current Controlled Trials ISRCTN72614272. PMID:23709583
School and District Intervention: A Decision-Making Framework for Policymakers.
ERIC Educational Resources Information Center
Bowles, Susan A.; Churchill, Andrew M.; Effrat, Andrew; McDermott, Kathryn A.
This paper seeks to help state policymakers understand their relatively new role in improving the academic performance of local schools and districts. The first section, "Intervention Decision-Making Framework," focuses on the intervention decision making framework model, performance criteria, strategic criteria, diagnostic…
Carriger, John F; Dyson, Brian E; Benson, William H
2018-05-01
This article develops and explores a methodology for using qualitative influence diagrams in environmental policy and management to support decision-making efforts that minimize risk and increase resiliency. Influence diagrams are representations of the conditional aspects of a problem domain. Their graphical properties are useful for structuring causal knowledge relevant to policy interventions and can be used to enhance inference and inclusivity of multiple viewpoints. Qualitative components of influence diagrams are beneficial tools for identifying and examining the interactions among the critical variables in complex policy development and implementation. Policy interventions on social-environmental systems can be intuitively diagrammed for representing knowledge of critical relationships among economic, environmental, and social attributes. Examples relevant to coastal resiliency issues in the US Gulf Coast region are developed to illustrate model structures for developing qualitative influence diagrams useful for clarifying important policy intervention issues and enhancing transparency in decision making. Integr Environ Assess Manag 2018;14:381-394. Published 2018. This article is a US Government work and is in the public domain in the USA. Published 2018. This article is a US Government work and is in the public domain in the USA.
Policy guidance on threats to legislative interventions in public health: a realist synthesis.
Wong, Geoff; Pawson, Ray; Owen, Lesley
2011-04-10
Legislation is one of the most powerful weapons for improving population health and is often used by policy and decision makers. Little research exists to guide them as to whether legislation is feasible and/or will succeed. We aimed to produce a coherent and transferable evidence based framework of threats to legislative interventions to assist the decision making process and to test this through the 'case study' of legislation to ban smoking in cars carrying children. We conceptualised legislative interventions as a complex social interventions and so used the realist synthesis method to systematically review the literature for evidence. 99 articles were found through searches on five electronic databases (MEDLINE, HMIC, EMBASE, PsychINFO, Social Policy and Practice) and iterative purposive searching. Our initial searches sought any studies that contained information on smoking in vehicles carrying children. Throughout the review we continued where needed to search for additional studies of any type that would conceptually contribute to helping build and/or test our framework. Our framework identified a series of transferable threats to public health legislation. When applied to smoking bans in vehicles; problem misidentification; public support; opposition; and enforcement issues were particularly prominent threats. Our framework enabled us to understand and explain the nature of each threat and to infer the most likely outcome if such legislation were to be proposed in a jurisdiction where no such ban existed. Specifically, the micro-environment of a vehicle can contain highly hazardous levels of second hand smoke. Public support for such legislation is high amongst smokers and non-smokers and their underlying motivations were very similar - wanting to practice the Millian principle of protecting children from harm. Evidence indicated that the tobacco industry was not likely to oppose legislation and arguments that such a law would be 'unenforceable' were unfounded. It is possible to develop a coherent and transferable evidence based framework of the ideas and assumptions behind the threats to legislative intervention that may assist policy and decision makers to analyse and judge if legislation is feasible and/or likely to succeed.
Policy guidance on threats to legislative interventions in public health: a realist synthesis
2011-01-01
Background Legislation is one of the most powerful weapons for improving population health and is often used by policy and decision makers. Little research exists to guide them as to whether legislation is feasible and/or will succeed. We aimed to produce a coherent and transferable evidence based framework of threats to legislative interventions to assist the decision making process and to test this through the 'case study' of legislation to ban smoking in cars carrying children. Methods We conceptualised legislative interventions as a complex social interventions and so used the realist synthesis method to systematically review the literature for evidence. 99 articles were found through searches on five electronic databases (MEDLINE, HMIC, EMBASE, PsychINFO, Social Policy and Practice) and iterative purposive searching. Our initial searches sought any studies that contained information on smoking in vehicles carrying children. Throughout the review we continued where needed to search for additional studies of any type that would conceptually contribute to helping build and/or test our framework. Results Our framework identified a series of transferable threats to public health legislation. When applied to smoking bans in vehicles; problem misidentification; public support; opposition; and enforcement issues were particularly prominent threats. Our framework enabled us to understand and explain the nature of each threat and to infer the most likely outcome if such legislation were to be proposed in a jurisdiction where no such ban existed. Specifically, the micro-environment of a vehicle can contain highly hazardous levels of second hand smoke. Public support for such legislation is high amongst smokers and non-smokers and their underlying motivations were very similar - wanting to practice the Millian principle of protecting children from harm. Evidence indicated that the tobacco industry was not likely to oppose legislation and arguments that such a law would be 'unenforceable' were unfounded. Conclusion It is possible to develop a coherent and transferable evidence based framework of the ideas and assumptions behind the threats to legislative intervention that may assist policy and decision makers to analyse and judge if legislation is feasible and/or likely to succeed. PMID:21477347
Atkinson, Jo-An; O'Donnell, Eloise; Wiggers, John; McDonnell, Geoff; Mitchell, Jo; Freebairn, Louise; Indig, Devon; Rychetnik, Lucie
2017-02-15
Development of effective policy responses to address complex public health problems can be challenged by a lack of clarity about the interaction of risk factors driving the problem, differing views of stakeholders on the most appropriate and effective intervention approaches, a lack of evidence to support commonly implemented and acceptable intervention approaches, and a lack of acceptance of effective interventions. Consequently, political considerations, community advocacy and industry lobbying can contribute to a hotly contested debate about the most appropriate course of action; this can hinder consensus and give rise to policy resistance. The problem of alcohol misuse and its associated harms in New South Wales (NSW), Australia, provides a relevant example of such challenges. Dynamic simulation modelling is increasingly being valued by the health sector as a robust tool to support decision making to address complex problems. It allows policy makers to ask 'what-if' questions and test the potential impacts of different policy scenarios over time, before solutions are implemented in the real world. Participatory approaches to modelling enable researchers, policy makers, program planners, practitioners and consumer representatives to collaborate with expert modellers to ensure that models are transparent, incorporate diverse evidence and perspectives, are better aligned to the decision-support needs of policy makers, and can facilitate consensus building for action. This paper outlines a procedure for embedding stakeholder engagement and consensus building in the development of dynamic simulation models that can guide the development of effective, coordinated and acceptable policy responses to complex public health problems, such as alcohol-related harms in NSW.
Peskin, Melissa F.; Hernandez, Belinda F.; Gabay, Efrat K.; Cuccaro, Paula; Li, Dennis H.; Ratliff, Eric; Reed-Hirsch, Kelly; Rivera, Yanneth; Johnson-Baker, Kimberly; Emery, Susan Tortolero; Shegog, Ross
2017-01-01
In Texas and across the United States, unintended pregnancy, HIV, and sexually transmitted infections (STIs) among adolescents remain serious public health issues. Sexual risk-taking behaviors, including early sexual initiation, contribute to these public health problems. Over 35 sexual health evidence-based programs (EBPs) have been shown to reduce sexual risk behaviors and/or prevent teen pregnancies or STIs. Because more than half of these EBPs are designed for schools, they could reach and impact a considerable number of adolescents if implemented in these settings. Most schools across the U.S. and in Texas, however, do not implement these programs. U.S. school districts face many barriers to the successful dissemination (i.e., adoption, implementation, and maintenance) of sexual health EBPs, including lack of knowledge about EBPs and where to find them, perceived lack of support from school administrators and parents, lack of guidance regarding the adoption process, competing priorities, and lack of specialized training on sexual health. Therefore, this paper describes how we used intervention mapping (Steps 3 and 4, in particular), a systematic design framework that uses theory, empirical evidence, and input from the community to develop CHoosing And Maintaining Effective Programs for Sex Education in Schools (iCHAMPSS), an online decision support system to help school districts adopt, implement, and maintain sexual health EBPs. Guided by this systematic intervention design approach, iCHAMPSS has the potential to increase dissemination of sexual health EBPs in school settings. PMID:28848729
Peskin, Melissa F; Hernandez, Belinda F; Gabay, Efrat K; Cuccaro, Paula; Li, Dennis H; Ratliff, Eric; Reed-Hirsch, Kelly; Rivera, Yanneth; Johnson-Baker, Kimberly; Emery, Susan Tortolero; Shegog, Ross
2017-01-01
In Texas and across the United States, unintended pregnancy, HIV, and sexually transmitted infections (STIs) among adolescents remain serious public health issues. Sexual risk-taking behaviors, including early sexual initiation, contribute to these public health problems. Over 35 sexual health evidence-based programs (EBPs) have been shown to reduce sexual risk behaviors and/or prevent teen pregnancies or STIs. Because more than half of these EBPs are designed for schools, they could reach and impact a considerable number of adolescents if implemented in these settings. Most schools across the U.S. and in Texas, however, do not implement these programs. U.S. school districts face many barriers to the successful dissemination (i.e., adoption, implementation, and maintenance) of sexual health EBPs, including lack of knowledge about EBPs and where to find them, perceived lack of support from school administrators and parents, lack of guidance regarding the adoption process, competing priorities, and lack of specialized training on sexual health. Therefore, this paper describes how we used intervention mapping (Steps 3 and 4, in particular), a systematic design framework that uses theory, empirical evidence, and input from the community to develop CH oosing A nd M aintaining Effective P rograms for S ex Education in S chools ( iCHAMPSS ), an online decision support system to help school districts adopt, implement, and maintain sexual health EBPs. Guided by this systematic intervention design approach, iCHAMPSS has the potential to increase dissemination of sexual health EBPs in school settings.
Bhui, Kamaldeep; Dinos, Sokratis; Galant-Miecznikowska, Magdalena; de Jongh, Bertine; Stansfeld, Stephen
2016-01-01
Aims and method To identify causes of stress at work as well as individual, organisational and personal interventions used by employees to manage stress in public, private and non-governmental organizations (NGOs). Qualitative interviews were conducted with 51 employees from a range of organisations. Results Participants reported adverse working conditions and management practices as common causes of work stress. Stress-inducing management practices included unrealistic demands, lack of support, unfair treatment, low decision latitude, lack of appreciation, effort–reward imbalance, conflicting roles, lack of transparency and poor communication. Organisational interventions were perceived as effective if they improved management styles, and included physical exercise, taking breaks and ensuring adequate time for planning work tasks. Personal interventions used outside of work were important to prevent and remedy stress. Clinical implications Interventions should improve management practices as well as promoting personal interventions outside of the work setting. PMID:28377811
van Engen-Verheul, Mariëtte M.; Gude, Wouter T.; van der Veer, Sabine N.; Kemps, Hareld M.C.; Jaspers, Monique M.W.; de Keizer, Nicolette F.; Peek, Niels
2015-01-01
Despite their widespread use, audit and feedback (A&F) interventions show variable effectiveness on improving professional performance. Based on known facilitators of successful A&F interventions, we developed a web-based A&F intervention with indicator-based performance feedback, benchmark information, action planning and outreach visits. The goal of the intervention was to engage with multidisciplinary teams to overcome barriers to guideline concordance and to improve overall team performance in the field of cardiac rehabilitation (CR). To assess its effectiveness we conducted a cluster-randomized trial in 18 CR clinics (14,847 patients) already working with computerized decision support (CDS). Our preliminary results showed no increase in concordance with guideline recommendations regarding prescription of CR therapies. Future analyses will investigate whether our intervention did improve team performance on other quality indicators. PMID:26958310
Petterson, S R
2016-02-01
The aim of this study was to develop a modified quantitative microbial risk assessment (QMRA) framework that could be applied as a decision support tool to choose between alternative drinking water interventions in the developing context. The impact of different household water treatment (HWT) interventions on the overall incidence of diarrheal disease and disability adjusted life years (DALYs) was estimated, without relying on source water pathogen concentration as the starting point for the analysis. A framework was developed and a software tool constructed and then implemented for an illustrative case study for Nepal based on published scientific data. Coagulation combined with free chlorine disinfection provided the greatest estimated health gains in the short term; however, when long-term compliance was incorporated into the calculations, the preferred intervention was porous ceramic filtration. The model demonstrates how the QMRA framework can be used to integrate evidence from different studies to inform management decisions, and in particular to prioritize the next best intervention with respect to estimated reduction in diarrheal incidence. This study only considered HWT interventions; it is recognized that a systematic consideration of sanitation, recreation, and drinking water pathways is important for effective management of waterborne transmission of pathogens, and the approach could be expanded to consider the broader water-related context. © 2015 Society for Risk Analysis.
Gouin, Marie-Michelle; Coutu, Marie-France; Durand, Marie-José
2017-11-12
Collective decision-making by stakeholders appears important to return-to-work success, yet few studies have explored the processes involved. This study aims to explore the influence of decision-making on return-to-work for workers with musculoskeletal or common mental disorders. This study is a secondary analysis using data from three earlier multiple-case studies that documented decision-making during similar and comparable work rehabilitation programs. Individual interviews were conducted at the end of the program with stakeholders, namely, the disabled workers and representatives of health care professionals, employers, unions and insurers. Verbatims were analysed inductively. The 28 decision-making processes (cases) led to 115 different decisions-making instances and included the following components: subjects of the decisions, stakeholders' concerns and powers, and types of decision-making. No differences were found in decision-making processes relative to the workers' diagnoses or return-to-work status. However, overall analysis of decision-making revealed that stakeholder agreement on a return-to-work goal and acceptance of an intervention plan in which the task demands aligned with the worker's capacities were essential for return-to-work success. These results support the possibility of return-to-work success despite conflictual decision-making processes. In addition to facilitating consensual decisions, future studies should be aimed at facilitating negotiated decisions. Implications for rehabilitation Facilitating decision-making, with the aim of obtaining agreement from all stakeholders on a return-to-work goal and their acceptance of an intervention plan that respects the worker's capacities, is important for return-to-work success. Rehabilitation professionals should constantly be on the lookout for potential conflicts, which may either complicate the reach of an agreement between the stakeholders or constrain return-to-work possibilities. Rehabilitation professionals should also be constantly watching for workers' and employers' return-to-work concerns, as they may change during work rehabilitation, potentially challenging a reached agreement.
Monitoring Style of Coping with Cancer Related Threats: A Review of the Literature
Miller, Suzanne M.
2014-01-01
Building on the Cognitive-Social Health Information-Processing model, this paper provides a theoretically guided review of monitoring (i.e., attend to and amplify) cancer-related threats. Specifically, the goals of the review are to examine whether individuals high on monitoring are characterized by specific cognitive, affective, and behavioral responses to cancer-related health threats than individuals low on monitoring and the implications of these cognitive-affective responses for patient-centered outcomes, including patient-physician communication, decision-making and the development of interventions to promote adherence and adjustment. A total of 74 reports were found, based on 63 studies, 13 of which were intervention studies. The results suggest that although individuals high on monitoring are more knowledgeable about health threats, they are less satisfied with the information provided. Further, they tend to be characterized by greater perceived risk, more negative beliefs, and greater value of health-related information and experience more negative affective outcomes. Finally, individuals high on monitoring tend to be more demanding of the health providers in terms of desire for more information and emotional support, are more assertive during decision-making discussions, and subsequently experience more decisional regret. Psychoeducational interventions improve outcomes when the level and type of information provided is consistent with the individual's monitoring style and the demands of the specific health threat. Implications for patient-centered outcomes, in terms of tailoring of interventions, patient-provider communication, and decision-making, are discussed. PMID:24488543
Monitoring style of coping with cancer related threats: a review of the literature.
Roussi, Pagona; Miller, Suzanne M
2014-10-01
Building on the Cognitive-Social Health Information-Processing model, this paper provides a theoretically guided review of monitoring (i.e., attend to and amplify) cancer-related threats. Specifically, the goals of the review are to examine whether individuals high on monitoring are characterized by specific cognitive, affective, and behavioral responses to cancer-related health threats than individuals low on monitoring and the implications of these cognitive-affective responses for patient-centered outcomes, including patient-physician communication, decision-making and the development of interventions to promote adherence and adjustment. A total of 74 reports were found, based on 63 studies, 13 of which were intervention studies. The results suggest that although individuals high on monitoring are more knowledgeable about health threats, they are less satisfied with the information provided. Further, they tend to be characterized by greater perceived risk, more negative beliefs, and greater value of health-related information and experience more negative affective outcomes. Finally, individuals high on monitoring tend to be more demanding of the health providers in terms of desire for more information and emotional support, are more assertive during decision-making discussions, and subsequently experience more decisional regret. Psychoeducational interventions improve outcomes when the level and type of information provided is consistent with the individual's monitoring style and the demands of the specific health threat. Implications for patient-centered outcomes, in terms of tailoring of interventions, patient-provider communication, and decision-making, are discussed.
Norman, Cameron D; McIntosh, Scott; Selby, Peter; Eysenbach, Gunther
2008-11-25
Tobacco control in the 21(st) century faces many of the same challenges as in the past, but in different contexts, settings and enabled by powerful new tools including those delivered by information and communication technologies via computer, videocasts, and mobile handsets to the world. Building on the power of electronic networks, Web-assisted tobacco interventions (WATI) provide a vehicle for delivering tobacco prevention, cessation, social support and training opportunities on-demand and direct to practitioners and the public alike. The Framework Convention on Tobacco Control, the world's first global public health treaty, requires that all nations develop comprehensive tobacco control strategies that include provision of health promotion information, population interventions, and decision-support services. WATI research and development has evolved to provide examples of how eHealth can address all of these needs and provide exemplars for other areas of public health to follow. This paper discusses the role of WATI in supporting tobacco control and introduces a special issue of the Journal of Medical Internet Research that broadens the evidence base and provides illustrations of how new technologies can support health promotion and population health overall, empowering change and ushering in a new era of public eHealth.
Martin, Naomi H; Landau, Sabine; Janssen, Anna; Lyall, Rebecca; Higginson, Irene; Burman, Rachel; McCrone, Paul; Sakel, Mohammed; Ellis, Catherine M; Shaw, Christopher E; Al-Chalabi, Ammar; Leigh, P Nigel; Goldstein, Laura H
2014-09-01
Our objective was to identify factors associated with acceptance of non-invasive ventilation (NIV) and gastrostomy in an exploratory population-based study. Seventy-eight people with ALS at least six months post-diagnosis, and 50 caregivers, were recruited from the South-East ALS Register. Baseline physical, cognitive and psychological measures were obtained. Three-monthly follow-ups monitored whether patients had accepted or refused NIV or gastrostomy. Following an intervention decision, post-decision interviews repeated baseline measures and included further intervention-specific questionnaires. Results showed that 32 people with ALS made at least one intervention decision and of these 10 decided about both NIV and gastrostomy. While illness factors predicted those needing to make an intervention decision, cognitive and education status, and level of executive dysfunction were associated with decision-making and acceptance or refusal of interventions. Patients' understanding of their illness, their early approach to considering interventions and carer-related factors were also associated with treatment decisions. In conclusion, our findings highlight the complexity of decision-making and provide a platform for designing further studies. Cognitive and psychosocial factors may assume a greater role in palliative care decisions for people with ALS than has been explicitly recognized. Future work must clarify how to ensure patients are not inadvertently being denied suitable interventions.
Reilly, Kathryn L; Reeves, Penny; Deeming, Simon; Yoong, Sze Lin; Wolfenden, Luke; Nathan, Nicole; Wiggers, John
2018-03-20
No evaluations of the cost or cost effectiveness of interventions to increase school implementation of food availability policies have been reported. Government and non-government agency decisions regarding the extent of investment required to enhance school implementation of such policies are unsupported by such evidence. This study sought to i) Determine cost and cost-effectiveness of three interventions in improving school implementation of an Australian government healthy canteen policy and; ii) Determine the relative cost-effectiveness of the interventions in improving school implementation of such a policy. An analysis of the cost and cost-effectiveness of three implementation interventions of varying support intensity, relative to usual implementation support conducted during 2013-2015 was undertaken. Secondly, an indirect comparison of the trials was undertaken to determine the most cost-effective of the three strategies. The economic analysis was based on the cost of delivering the interventions by health service delivery staff to increase the proportion of schools 'adherent' with the policy. The total costs per school were $166,971, $70,926 and $75,682 for the high, medium and low intensity interventions respectively. Compared to usual support, the cost effectiveness ratios for each of the three interventions were: A$2982 (high intensity), A$2627 (medium intensity) and A$4730 (low intensity) per percent increase in proportion of schools reporting 'adherence'). Indirect comparison between the 'high' and 'medium intensity' interventions showed no statistically significant difference in cost-effectiveness. The results indicate that while the cost profiles of the interventions varied substantially, the cost-effectiveness did not. This result is valuable to policy makers seeking cost-effective solutions that can be delivered within budget.
Kangovi, Shreya; Carter, Tamala; Charles, Dorothy; Smith, Robyn A; Glanz, Karen; Long, Judith A; Grande, David
2016-12-01
Community health worker (CHW) programs are an increasingly popular strategy for patient-centered care. Many health care organizations are building CHW programs through trial and error, rather than implementing or adapting evidence-based interventions. This study used a qualitative design-mapping process to adapt an evidence-based CHW intervention, originally developed and tested in the hospital setting, for use among outpatients with multiple chronic conditions. The study involved qualitative in-depth, semi-structured interviews with chronically ill, uninsured, or Medicaid outpatients from low-income zip codes (n = 21) and their primary care practice staff (n = 30). Three key themes informed adaptation of the original intervention for outpatients with multiple conditions. First, outpatients were overwhelmed by their multiple conditions and wished they could focus on 1 at a time. Thus, the first major revision was to design a low-literacy decision aid that patients and providers could use to select a condition to focus on during the intervention. Second, motivation for health behavior change was a more prominent theme than in the original intervention. It was decided that in addition to providing tailored social support as in the original intervention, CHWs would help patients track progress toward their chronic disease management goals to motivate health behavior change. Third, patients were already connected to primary care; yet they still needed additional support to navigate their clinic once the intervention ended. The intervention was revised to include a weekly clinic-based support group. Structured adaptation using qualitative design mapping may allow for rapid adaptation and scale-up of evidence-based CHW interventions across new settings and populations.
Penn, Linda; Dombrowski, Stephan U; Sniehotta, Falko F; White, Martin
2013-06-28
In a qualitative substudy, we sought to elicit participants' perspectives of their behavioural change and maintenance of new behaviours towards intervention optimisation. The intervention was delivered in leisure and community settings in a local authority, which according to the UK government statistics ranks as 1 of the 10 most socioeconomically deprived areas in England. We recruited 218 adults aged 40-65 years at elevated risk of type 2 diabetes (Finnish Diabetes Risk Score≥11) to the intervention. Follow-up at 12 months was completed by 134 (62%). We recruited 15 participants, purposively sampled for physical activity increase, to the qualitative substudy. Lifestyle intervention can prevent type 2 diabetes, but translation to service provision remains challenging. The 'New life, New you' intervention aimed to promote physical activity, healthy eating and weight loss, and included supervised group physical activity sessions. Behavioural change and weight loss at 12-month follow-up were encouraging. We conducted 15 individual semistructured interviews. The Framework approach, with a comparison of emerging themes, was used in analysis of the transcribed data and complemented by the Theory Domains Framework. Themes emerging from the data were grouped as perceptions that promoted initiating, enacting and maintaining behavioural change. The data were then categorised in accordance with the Theory Domains Framework: intentions and goals; reinforcement; knowledge; social role and identity; social influences; skills and beliefs about capabilities; behavioural regulation, memory, emotion, attention and decision processes and environmental context and resources. Participant perceptions of intervention features that facilitated behavioural change processes were then similarly analysed. Social influences, reference to social role and identity (eg, peer support), and intentions and goals (eg, to lose weight) were dominant themes across the three phases of behavioural change. Reinforcement, regulation and decision processes were more evident in the maintenance phase. The socioeconomic status of participants was reflected in the environmental context and resource theme. Analysis of phases and theoretical domains of behavioural change added depth and utility to inform intervention optimisation. We will develop the intervention with improved peer support and explicit monitoring of the behavioural change techniques used, prior to a definitive trial.
Economic evidence in intellectual disabilities: a review.
Romeo, Renée; Molosankwe, Iris
2010-09-01
There has been a drive to meet the needs of people with intellectual disabilities in an environment of resource scarcity. It is also recognized that intervention has the potential to improve social and economic welfare. Economic analyses can be used to inform decision makers about what additional investment is needed (if any) and the impacts on a range of stakeholders of intervention. There is a paucity of economic studies in intellectual disability. The lack of economic studies is a barrier to making policy and practice decisions for people with intellectual disabilities. In the period of review, 10 economic studies were found. Information on resource and cost implications of various treatments and support for people with intellectual disabilities is needed. Economic evaluation techniques can be used to inform decision making. We conducted a systematic review of the literature from January 2006 to February 2010. There was a paucity of economic studies in the field. Analyses assessing a wide range of outcomes alongside costs were the most widely used evaluation method in the review. There is a need for more economic studies in this area.
Nioi, Amanda; Wendelboe-Nelson, Charlotte; Cowan, Sue; Cowie, Hilary; Rashid, Shahzad; Ritchie, Peter; Cherrie, Mark; Lansdown, Terry C; Cherrie, John W
2018-02-15
Exposure to sunlight can have both positive and negative health impacts. Excessive exposure to ultra-violet (UV) radiation from the sun can cause skin cancer, however insufficient exposure to sunlight has a detrimental effect on production of Vitamin D. In the construction industry there are onsite proactive behaviours for safety, but sun-safety remains a low priority. There is limited research on understanding the barriers to adopting sun-safe behaviours and the association this may have with Vitamin D production. This paper reports a protocol for an intervention study, using text messaging in combination with a supportive smartphone App. The intervention aims to both reduce UV exposure during months with higher UV levels and promote appropriate dietary changes to boost Vitamin D levels during months with low UV levels. Approximately 60 construction workers will be recruited across the United Kingdom. A randomised control crossover trial (RCCT) will be used to test the intervention, with randomisation at site level - i.e. participants will receive both the control (no text messages or supportive App support) and intervention (daily text messages and supportive App). Using the Theory of Planned Behaviour (TPB) the intervention focuses on supporting sun-safety and healthy dietary decisions in relation to Vitamin D intake. The intervention emphasises cultivating the perception of normative support in the workplace, increasing awareness of control and self-efficacy in taking sun-protective behaviours, making healthier eating choices to boost Vitamin D, and tackling stigmas attached to image and group norms. Each study epoch will last 21 days with intervention text messages delivered on workdays only. The supportive App will provide supplementary information about sun protective behaviours and healthy dietary choices. The primary outcome measure is 25-hydroxy-Vitamin D [25(OH)D] level (obtained using blood spot sampling), which will be taken pre and post control and intervention periods. Secondary outcome measures are two-fold, (1) using the TPB to detect changes in behaviour, and (2) quantifying UV exposure during the UK peak radiation season (April-September) using body-mounted UV sensors. This study will provide important information about the effectiveness of a technology-based intervention to promote sun-safety and healthy behaviours in outdoor construction workers. ISRCTN15888934 retrospectively registered 15.01.2018.
Response to Intervention Blueprints: District Level Edition
ERIC Educational Resources Information Center
Elliott, Judy; Morrison, Diane
2008-01-01
Response to Intervention (RtI) is the practice of providing high quality instruction and interventions matched to student need, monitoring progress frequently to make decisions about changes in instruction or goals and applying student response data to important educational decisions. RtI should be applied to decisions in general, remedial and…
Response to Intervention Blueprints: School Building Level Edition
ERIC Educational Resources Information Center
Kurns, Sharon; Tilly, W. David
2008-01-01
Response to Intervention (RtI) is the practice of providing high quality instruction and interventions matched to student need, monitoring progress frequently to make decisions about changes in instruction or goals and applying student response data to important educational decisions. RtI should be applied to decisions in general, remedial and…
Psychological Type, Decision-Making Style, and Reactions to Structured Career Interventions.
ERIC Educational Resources Information Center
Tinsley, Howard E. A.; Tinsley, Diane J.; Rushing, James
2002-01-01
An intervention for 50 career-undecided women helped them identify decision-making barriers, consider vocational interests, and formulate provisional major and career choices. Women who were introverted and whose decision-making style was rational reported greater benefits from the intervention than those whose personality type was perceiving and…
Predictors of Rehabilitation Intervention Decisions in Adults with Acquired Hearing Impairment
ERIC Educational Resources Information Center
Laplante-Levesque, Ariane; Hickson, Louise; Worrall, Linda
2011-01-01
Purpose: This study investigated the predictors of rehabilitation intervention decisions in middle-age and older adults with acquired hearing impairment seeking help for the first time. Method: Using shared decision making, 139 participants were offered intervention options: hearing aids, communication programs (group or individual), and no…
Psychosocial factors in maternal phenylketonuria: women's adherence to medical recommendations.
Waisbren, S E; Hamilton, B D; St James, P J; Shiloh, S; Levy, H L
1995-01-01
OBJECTIVES. This study identified factors predicting adherence to medical recommendations in maternal phenylketonuria, which can result in severe fetal damage. METHODS. Sixty-nine women with phenylketonuria, 68 of their acquaintances, and 69 women with diabetes mellitus were interviewed annually for 5 years. A model in which each stage in the maternal phenylketonuria life cycle represented a treatment-related goal provided a means to assess adherence. RESULTS. At the stages of prevention of unplanned pregnancy, treatment initiation, and diet continuation throughout pregnancy, attitudes and social support were associated with adherence to medical recommendations. No specific variables were associated with outcome at reproductive decision making, but women with phenylketonuria were more likely to delay making a decision, resulting in unplanned and, hence, untreated or late-treated pregnancy. CONCLUSIONS. Women with phenylketonuria differed from their acquaintances and diabetic women in many respects, suggesting that special programs are needed. Greater emphasis on reproductive decision making is especially needed. Interventions that focus on improving social support networks and attitudes about treatment may increase adherence to recommendations. PMID:7503337
Grandes, Gonzalo; Sanchez, Alvaro; Cortada, Josep M; Pombo, Haizea; Martinez, Catalina; Balagué, Laura; Corrales, Mary Helen; de la Peña, Enrique; Mugica, Justo; Gorostiza, Esther
2017-12-06
Evidence-based interventions are more likely to be adopted if practitioners collaborate with researchers to develop an implementation strategy. This paper describes the steps to plan and execute a strategy, including the development of structure and supports needed for implementing proven health promotion interventions in primary and community care. Between 10 and 13 discussion and consensus sessions were performed in four highly-motivated primary health care centers involving 80% of the primary care staff and 21 community-based organizations. All four centers chose to address physical activity, diet, and smoking. They selected the 5 A's evidence-based clinical intervention to be adapted to the context of the health centers. The planned implementation strategy worked at multiple levels: bottom-up primary care organizational change, top-down support from managers, community involvement, and the development of innovative e-health information and communication tools. Shared decision making and practice facilitation were perceived as the most positive aspects of the collaborative modeling process, which took more time than expected, especially the development of the new e-health tools integrated into electronic health records. Collaborative modeling of an implementation strategy for the integration of health promotion in primary and community care was feasible in motivated centers. However, it was difficult, being hindered by the heavy workload in primary care and generating uncertainty inherent to a bottom-up decision making processes. Lessons from this experience could be useful in diverse settings and for other clinical interventions. Two companion papers report the evaluation of its feasibility and assess quantitatively and qualitatively the implementation process.
MacLaughlin, Kathy L; Kessler, Maya E; Komandur Elayavilli, Ravikumar; Hickey, Branden C; Scheitel, Marianne R; Wagholikar, Kavishwar B; Liu, Hongfang; Kremers, Walter K; Chaudhry, Rajeev
2018-05-01
A clinical decision support system (CDSS) for cervical cancer screening identifies patients due for routine cervical cancer screening. Yet, high-risk patients who require more frequent screening or earlier follow-up to address past abnormal results are not identified. We aimed to assess the effect of a complex CDSS, incorporating national guidelines for high-risk patient screening and abnormal result management, its implementation to identify patients overdue for testing, and the outcome of sending a targeted recommendation for follow-up. At three primary care clinics affiliated with an academic medical center, a reminder recommending an appointment for Papanicolaou (Pap) testing or Pap and human papillomavirus cotesting was sent to high-risk women aged 18 through 65 years (intervention group) identified by CDSS as overdue for testing. Historical control patients, who did not receive a reminder, were identified by CDSS 1 year before the date when reminders were sent to the intervention group. Test completion rates were compared between the intervention and control groups through a generalized estimating equation extension. Across the three sites, the average completion rate of recommended follow-up testing was significantly higher in the intervention group at 23.7% (61/257) than the completion rate at 3.3% (17/516) in the control group (p < 0.001). A CDSS with enhanced capabilities to identify high-risk women due for cervical cancer testing beyond routine screening intervals, with subsequent patient notification, has the potential to decrease cervical precancer and cancer by improving adherence to guideline-compliant follow-up and needed treatment.
Olsho, Lauren E W; Spector, William D; Williams, Christianna S; Rhodes, William; Fink, Rebecca V; Limcangco, Rhona; Hurd, Donna
2014-03-01
Pressure ulcers present serious health and economic consequences for nursing home residents. The Agency for Healthcare Research & Quality, in partnership with the New York State Department of Health, implemented the pressure ulcer module of On-Time Quality Improvement for Long Term Care (On-Time), a clinical decision support intervention to reduce pressure ulcer incidence rates. To evaluate the effectiveness of the On-Time program in reducing the rate of in-house-acquired pressure ulcers among nursing home residents. We employed an interrupted time-series design to identify impacts of 4 core On-Time program components on resident pressure ulcer incidence in 12 New York State nursing homes implementing the intervention (n=3463 residents). The sample was purposively selected to include nursing homes with high baseline prevalence and incidence of pressure ulcers and high motivation to reduce pressure ulcers. Differential timing and sequencing of 4 core On-Time components across intervention nursing homes and units enabled estimation of separate impacts for each component. Inclusion of a nonequivalent comparison group of 13 nursing homes not implementing On-Time (n=2698 residents) accounts for potential mean-reversion bias. Impacts were estimated via a random-effects Poisson model including resident-level and facility-level covariates. We find a large and statistically significant reduction in pressure ulcer incidence associated with the joint implementation of 4 core On-Time components (incidence rate ratio=0.409; P=0.035). Impacts vary with implementation of specific component combinations. On-Time implementation is associated with sizable reductions in pressure ulcer incidence.
Brazil, Kevin; Carter, Gillian; Cardwell, Chris; Clarke, Mike; Hudson, Peter; Froggatt, Katherine; McLaughlin, Dorry; Passmore, Peter; Kernohan, W George
2018-03-01
In dementia care, a large number of treatment decisions are made by family carers on behalf of their family member who lacks decisional capacity; advance care planning can support such carers in the decision-making of care goals. However, given the relative importance of advance care planning in dementia care, the prevalence of advance care planning in dementia care is poor. To evaluate the effectiveness of advance care planning with family carers in dementia care homes. Paired cluster randomized controlled trial. The intervention comprised a trained facilitator, family education, family meetings, documentation of advance care planning decisions and intervention orientation for general practitioners and nursing home staff. A total of 24 nursing homes with a dementia nursing category located in Northern Ireland, United Kingdom. Family carers of nursing home residents classified as having dementia and judged as not having decisional capacity to participate in advance care planning discussions. The primary outcome was family carer uncertainty in decision-making about the care of the resident (Decisional Conflict Scale). There was evidence of a reduction in total Decisional Conflict Scale score in the intervention group compared with the usual care group (-10.5, 95% confidence interval: -16.4 to -4.7; p < 0.001). Advance care planning was effective in reducing family carer uncertainty in decision-making concerning the care of their family member and improving perceptions of quality of care in nursing homes. Given the global significance of dementia, the implications for clinicians and policy makers include them recognizing the importance of family carer education and improving communication between family carers and formal care providers.
2013-01-01
Background Current Medical Research Council (MRC) guidance on complex interventions advocates pilot trials and feasibility studies as part of a phased approach to the development, testing, and evaluation of healthcare interventions. In this paper we discuss the results of a recent feasibility study and pilot trial for a randomized controlled trial (RCT) of pelvic floor muscle training for prolapse (ClinicalTrials.gov: NCT01136889). The ways in which researchers decide to respond to the results of feasibility work may have significant repercussions for both the nature and degree of tension between internal and external validity in a definitive trial. Methods We used methodological issues to classify and analyze the problems that arose in the feasibility study. Four centers participated with the aim of randomizing 50 women. Women were eligible if they had prolapse of any type, of stage I to IV, and had a pessary successfully fitted. Postal questionnaires were administered at baseline, 6 months, and 7 months post-randomization. After identifying problems arising within the pilot study we then sought to locate potential solutions that might minimize the trade-off between a subsequent explanatory versus pragmatic trial. Results The feasibility study pointed to significant potential problems in relation to participant recruitment, features of the intervention, acceptability of the intervention to participants, and outcome measurement. Finding minimal evidence to support our decision-making regarding the transition from feasibility work to a trial, we developed a systematic process (A process for Decision-making after Pilot and feasibility Trials (ADePT)) which we subsequently used as a guide. The process sought to: 1) encourage the systematic identification and appraisal of problems and potential solutions; 2) improve the transparency of decision-making processes; and 3) reveal the tensions that exist between pragmatic and explanatory choices. Conclusions We have developed a process that may aid researchers in their attempt to identify the most appropriate solutions to problems identified within future pilot and feasibility RCTs. The process includes three key steps: a decision about the type of problem, the identification of all solutions (whether addressed within the intervention, trial design or clinical context), and a systematic appraisal of these solutions. PMID:24160371
Tamblyn, Robyn; Ernst, Pierre; Winslade, Nancy; Huang, Allen; Grad, Roland; Platt, Robert W; Ahmed, Sara; Moraga, Teresa; Eguale, Tewodros
2015-07-01
Computer-based decision support has been effective in providing alerts for preventive care. Our objective was to determine whether a personalized asthma management computer-based decision support increases the quality of asthma management and reduces the rate of out-of-control episodes. A cluster-randomized trial was conducted in Quebec, Canada among 81 primary care physicians and 4447 of their asthmatic patients. Patients were followed from the first visit for 3-33 months. The physician control group used the Medical Office of the 21st century (MOXXI) system, an integrated electronic health record. A custom-developed asthma decision support system was integrated within MOXXI and was activated for physicians in the intervention group. At the first visit, 9.8% (intervention) to 12.9% (control) of patients had out-of-control asthma, which was defined as a patient having had an emergency room visit or hospitalization for respiratory-related problems and/or more than 250 doses of fast-acting β-agonist (FABA) dispensed in the past 3 months. By the end of the trial, there was a significant increase in the ratio of doses of inhaled corticosteroid use to fast-acting β-agonist (0.93 vs. 0.69: difference: 0.27; 95% CI: 0.02-0.51; P = 0.03) in the intervention group. The overall out-of-control asthma rate was 54.7 (control) and 46.2 (intervention) per 100 patients per year (100 PY), a non-significant rate difference of -8.7 (95% CI: -24.7, 7.3; P = 0.29). The intervention's effect was greater for patients with out-of-control asthma at the beginning of the study, a group who accounted for 44.7% of the 5597 out-of-control asthma events during follow-up, as there was a reduction in the event rate of -28.4 per 100 PY (95% CI: -55.6, -1.2; P = 0.04) compared to patients with in-control asthma at the beginning of the study (-0.08 [95% CI: -10.3, 8.6; P = 0.86]). This study evaluated the effectiveness of a novel computer-assisted ADS system that facilitates systematic monitoring of asthma control status, follow-up of patients with out of control asthma, and evidence-based, patient-specific treatment recommendations. We found that physicians were more likely to use ADS for out-of-control patients, that in the majority of these patients, they were advised to add an inhaled corticosteroid or a leukotriene inhibitor to the patient s treatment regimen, and the intervention significantly increased the mean ratio of inhaled corticosteroids to FABA during follow-up. It also reduced the rate of out-of-control episodes during follow up among patients whose asthma was out-of-control at the time of study entry. Future research should assess whether coupling patient-specific treatment recommendations, automated follow-up, and home care with comparative feedback on quality and outcomes of care can improve guideline adoption and care outcomes. A primary care-personalized asthma management system reduced the rate of out-of-control asthma episodes among patients whose asthma was poorly controlled at the study's onset. © The Author 2015. Published by Oxford University Press on behalf of the American Medical Informatics Association.
van Dongen, Johanna M; Tompa, Emile; Clune, Laurie; Sarnocinska-Hart, Anna; Bongers, Paulien M; van Tulder, Maurits W; van der Beek, Allard J; van Wier, Marieke F
2013-06-03
Continued improvements in occupational health can only be ensured if decisions regarding the implementation and continuation of occupational health and safety interventions (OHS interventions) are based on the best available evidence. To ensure that this is the case, scientific evidence should meet the needs of decision-makers. As a first step in bridging the gap between the economic evaluation literature and daily practice in occupational health, this study aimed to provide insight into the occupational health decision-making process and information needs of decision-makers. An exploratory qualitative study was conducted with a purposeful sample of occupational health decision-makers in the Ontario healthcare sector. Eighteen in-depth interviews were conducted to explore the process by which occupational health decisions are made and the importance given to the financial implications of OHS interventions. Twenty-five structured telephone interviews were conducted to explore the sources of information used during the decision-making process, and decision-makers' knowledge on economic evaluation methods. In-depth interview data were analyzed according to the constant comparative method. For the structured telephone interviews, summary statistics were prepared. The occupational health decision-making process generally consists of three stages: initiation stage, establishing the need for an intervention; pre-implementation stage, developing an intervention and its business case in order to receive senior management approval; and implementation and evaluation stage, implementing and evaluating an intervention. During this process, information on the financial implications of OHS interventions was found to be of great importance, especially the employer's costs and benefits. However, scientific evidence was rarely consulted, sound ex-post program evaluations were hardly ever performed, and there seemed to be a need to advance the economic evaluation skill set of decision-makers. Financial information is particularly important at the front end of implementation decisions, and can be a key deciding factor of whether to go forward with a new OHS intervention. In addition, it appears that current practice in occupational health in the healthcare sector is not solidly grounded in evidence-based decision-making and strategies should be developed to improve this.
2013-01-01
Background Continued improvements in occupational health can only be ensured if decisions regarding the implementation and continuation of occupational health and safety interventions (OHS interventions) are based on the best available evidence. To ensure that this is the case, scientific evidence should meet the needs of decision-makers. As a first step in bridging the gap between the economic evaluation literature and daily practice in occupational health, this study aimed to provide insight into the occupational health decision-making process and information needs of decision-makers. Methods An exploratory qualitative study was conducted with a purposeful sample of occupational health decision-makers in the Ontario healthcare sector. Eighteen in-depth interviews were conducted to explore the process by which occupational health decisions are made and the importance given to the financial implications of OHS interventions. Twenty-five structured telephone interviews were conducted to explore the sources of information used during the decision-making process, and decision-makers’ knowledge on economic evaluation methods. In-depth interview data were analyzed according to the constant comparative method. For the structured telephone interviews, summary statistics were prepared. Results The occupational health decision-making process generally consists of three stages: initiation stage, establishing the need for an intervention; pre-implementation stage, developing an intervention and its business case in order to receive senior management approval; and implementation and evaluation stage, implementing and evaluating an intervention. During this process, information on the financial implications of OHS interventions was found to be of great importance, especially the employer’s costs and benefits. However, scientific evidence was rarely consulted, sound ex-post program evaluations were hardly ever performed, and there seemed to be a need to advance the economic evaluation skill set of decision-makers. Conclusions Financial information is particularly important at the front end of implementation decisions, and can be a key deciding factor of whether to go forward with a new OHS intervention. In addition, it appears that current practice in occupational health in the healthcare sector is not solidly grounded in evidence-based decision-making and strategies should be developed to improve this. PMID:23731570
Bergström, Aileen L.; Hanson, Elizabeth
2018-01-01
BACKGROUND: A growing number of studies of informal carers of older people reveal positive results concerning support via Information and Communication Technologies (ICT). Systematic examination of factors that have a potential impact on carer outcomes are needed to inform future research. OBJECTIVE: To explore studies concerning ICT support of adult carers of older people and to identify study characteristics that have a potential impact on carer outcomes. METHODS: This integrative review includes 123 studies published since 2005. Fundamental questions for designing sensitive support interventions; ‘who, what, and how’ were applied to a synthesis of the results. RESULTS: Identified characteristics from the studies responding to the who question included variables of the carers, such as their relationship with the care recipient or their ethnicity. Characteristics related to the what question related to the types of interventions, and the how question concerned the different services or programs offered, the idiosyncratic needs of the carers, and the types of technologies used. CONCLUSION: Results are discussed according to micro, meso and macro levels of analysis. This extensive review can inform future studies and highlight the evidence in the area for decision makers, practitioners and/or NGOs working with innovative forms of support for carers of older people. PMID:29527109
Golley, R K; Hendrie, G A; Slater, A; Corsini, N
2011-02-01
Parent involvement is an important component of obesity prevention interventions. However, the best way to support parents remains unclear. This review identifies interventions targeting parents to improve children's weight status, dietary and/or activity patterns, examines whether intervention content and behaviour change techniques employed are associated with effectiveness. Seventeen studies, in English, 1998-2008, were included. Studies were evaluated by two reviewers for study quality, nutrition/activity content and behaviour change techniques using a validated quality assessment tool and behaviour change technique taxonomy. Study findings favoured intervention effectiveness in 11 of 17 studies. Interventions that were considered effective had similar features: better study quality, parents responsible for participation and implementation, greater parental involvement and inclusion of prompt barrier identification, restructure the home environment, prompt self-monitoring, prompt specific goal setting behaviour change techniques. Energy intake/density and food choices were more likely to be targeted in effective interventions. The number of lifestyle behaviours targeted did not appear to be associated with effectiveness. Intervention effectiveness was favoured when behaviour change techniques spanned the spectrum of behaviour change process. The review provides guidance for researchers to make informed decisions on how best to utilize resources in interventions to support and engage parents, and highlights a need for improvement in intervention content reporting practices. © 2010 The Authors. obesity reviews © 2010 International Association for the Study of Obesity.
Downing, J; Gleeson, H; Clayton, P E; Davis, J R E; Dimitri, P; Wales, J; Young, B; Callery, P
2017-06-15
Communication is complex in endocrine care, particularly during transition from paediatric to adult services. The aims of this study were to examine the feasibility of interventions to support young people to interact with clinicians. Development and evaluation of a complex intervention in 2 phases: Pre-intervention observational study; Intervention feasibility study. Purposive sample of recordings of 62 consultations with 58 young people aged 11-25 years with long-term endocrine conditions in two paediatric and two adult endocrine clinics. Proportion of time talked during consultations, number and direction of questions asked; Paediatric Consultation Assessment Tool (PCAT); OPTION shared decision making tool; Medical Information Satisfaction Scale (MISS- 21). Young people were invited to use one or more of: a prompt sheet to help them influence consultation agendas and raise questions; a summary sheet to record key information; and the www.explain.me.uk website. Nearly two thirds of young people (63%) chose to use at least one communication intervention. Higher ratings for two PCAT items (95% CI 0.0 to 1.1 and 0.1 to 1.7) suggest interventions can support consultation skills. A higher proportion of accompanying persons (83%) than young people (64%) directed questions to clinicians. The proportion of young people asking questions was higher (84%) in the intervention phase than in the observation phase (71%). Interventions were acceptable and feasible. The Intervention phase was associated with YP asking more questions, which implies that the availability of interventions could promote interactivity.
Légaré, France; Turcotte, Stéphane; Stacey, Dawn; Ratté, Stéphane; Kryworuchko, Jennifer; Graham, Ian D
2012-01-01
Shared decision making is the process in which a healthcare choice is made jointly by the health professional and the patient. Little is known about what patients view as effective or ineffective strategies to implement shared decision making in routine clinical practice. This systematic review evaluates the effectiveness of interventions to improve health professionals' adoption of shared decision making in routine clinical practice, as seen by patients. We searched electronic databases (PubMed, the Cochrane Library, EMBASE, CINAHL, and PsycINFO) from their inception to mid-March 2009. We found additional material by reviewing the reference lists of the studies found in the databases; systematic reviews of studies on shared decision making; the proceedings of various editions of the International Shared Decision Making Conference; and the transcripts of the Society for Medical Decision Making's meetings. In our study selection, we included randomized controlled trials, controlled clinical trials, controlled before-and-after studies, and interrupted time series analyses in which patients evaluated interventions to improve health professionals' adoption of shared decision making. The interventions in question consisted of the distribution of printed educational material; educational meetings; audit and feedback; reminders; and patient-mediated initiatives (e.g. patient decision aids). Two reviewers independently screened the studies and extracted data. Statistical analyses considered categorical and continuous process measures. We computed the standardized effect size for each outcome at the 95% confidence interval. The primary outcome of interest was health professionals' adoption of shared decision making as reported by patients in a self-administered questionnaire. Of the 6764 search results, 21 studies reported 35 relevant comparisons. Overall, the quality of the studies ranged from 0% to 83%. Only three of the 21 studies reported a clinically significant effect for the primary outcome that favored the intervention. The first study compared an educational meeting and a patient-mediated intervention with another patient-mediated intervention (median improvement of 74%). The second compared an educational meeting, a patient-mediated intervention, and audit and feedback with an educational meeting on an alternative topic (improvement of 227%). The third compared an educational meeting and a patient-mediated intervention with usual care (p = 0.003). All three studies were limited to the patient-physician dyad. To reduce bias, future studies should improve methods and reporting, and should analyze costs and benefits, including those associated with training of health professionals. Multifaceted interventions that include educating health professionals about sharing decisions with patients and patient-mediated interventions, such as patient decision aids, appear promising for improving health professionals' adoption of shared decision making in routine clinical practice as seen by patients.
Van de Velde, Stijn; Roshanov, Pavel; Kortteisto, Tiina; Kunnamo, Ilkka; Aertgeerts, Bert; Vandvik, Per Olav; Flottorp, Signe
2016-03-05
A computerised clinical decision support system (CCDSS) is a technology that uses patient-specific data to provide relevant medical knowledge at the point of care. It is considered to be an important quality improvement intervention, and the implementation of CCDSS is growing substantially. However, the significant investments do not consistently result in value for money due to content, context, system and implementation issues. The Guideline Implementation with Decision Support (GUIDES) project aims to improve the impact of CCDSS through optimised implementation based on high-quality evidence-based recommendations. To achieve this, we will develop tools that address the factors that determine successful CCDSS implementation. We will develop the GUIDES tools in four steps, using the methods and results of the Tailored Implementation for Chronic Diseases (TICD) project as a starting point: (1) a review of research evidence and frameworks on the determinants of implementing recommendations using CCDSS; (2) a synthesis of a comprehensive framework for the identified determinants; (3) the development of tools for use of the framework and (4) pilot testing the utility of the tools through the development of a tailored CCDSS intervention in Norway, Belgium and Finland. We selected the conservative management of knee osteoarthritis as a prototype condition for the pilot. During the process, the authors will collaborate with an international expert group to provide input and feedback on the tools. This project will provide guidance and tools on methods of identifying implementation determinants and selecting strategies to implement evidence-based recommendations through CCDSS. We will make the GUIDES tools available to CCDSS developers, implementers, researchers, funders, clinicians, managers, educators, and policymakers internationally. The tools and recommendations will be generic, which makes them scalable to a large spectrum of conditions. Ultimately, the better implementation of CCDSS may lead to better-informed decisions and improved care and patient outcomes for a wide range of conditions. PROSPERO, CRD42016033738.
Alizadeh, Maryam; Mirzazadeh, Azim; Parmelee, Dean X; Peyton, Elizabeth; Janani, Leila; Hassanzadeh, Gholamreza; Nedjat, Saharnaz
2017-04-01
Little is known about best practices for teaching and learning leadership through Team-Based learning™ (TBL™) with medical students. We hypothesized that guided reflection and feedback would improve shared leadership and shared leadership capacity, and enhance team decision quality in TBL teams. We used the Kolb experiential learning theory as the theoretical framework. The study was conducted at Tehran University of Medical Sciences. Three TBL sessions with 206 students (39 teams) participated in the study. Using a quasi-experimental design, one batch received guided reflection and feedback on their team leadership processes (n = 20 teams) and the other received only TBL (n = 19 teams). Observers measured shared leadership using a checklist. Shared leadership capacity was measured using a questionnaire. Scores on a team application exercise were used to assess quality of team decisions. Evidence did not support our first hypothesis that reflection and feedback enhance shared leadership in TBL teams. Percentages of teams displaying shared leadership did not differ between intervention and control groups in sessions 1 (p = 0.6), 2 (p = 1) or 3 (p = 1). The results did not support the second hypothesis. We found no difference in quality of decision making between the intervention and control groups for sessions 1 (p = 0.77), 2 (p = 0.23), or 3 (p = 0.07). The third hypothesis that the reflection and feedback would have an effect on shared leadership capacity was supported (T = -8.55, p > 0.001 adjusted on baseline; T = -8.55, p > 0.001 adjusted on gender). We found that reflection and feedback improved shared leadership capacity but not shared leadership behaviors or team decision quality. We propose medical educators who apply TBL, should provide guided exercise in reflection and feedback so that students may better understand the benefits of working in teams as preparation for their future roles as leaders and members of health care teams.
The evaluation of lifestyle interventions in the Netherlands.
Rappange, David R; Brouwer, Werner B F
2012-04-01
Current investments in preventive lifestyle interventions are relatively low, despite the significant impact of unhealthy behaviour on population health. This raises the question of whether the criteria used in reimbursement decisions about healthcare interventions put preventive interventions at a disadvantage. In this paper, we highlight the decision-making framework used in the Netherlands to delineate the basic benefits package. Important criteria in that framework are 'necessity' and 'cost-effectiveness'. Several normative choices need to be made, and these choices can have an important impact on the evaluation of lifestyle interventions, especially when making these criteria operational and quantifiable. Moreover, the implementation of the decision-making framework may prove to be difficult for lifestyle interventions. Improvements of the decision-making framework in the Netherlands are required to guarantee sound evaluations of lifestyle interventions aimed at improving health.
McCarthy, Ann Marie; Kleiber, Charmaine; Ataman, Kaan; Street, W. Nick; Zimmerman, M. Bridget; Ersig, Anne L.
2012-01-01
This secondary data analysis used data mining methods to develop predictive models of child risk for distress during a healthcare procedure. Data used came from a study that predicted factors associated with children’s responses to an intravenous catheter insertion while parents provided distraction coaching. From the 255 items used in the primary study, 44 predictive items were identified through automatic feature selection and used to build support vector machine regression models. Models were validated using multiple cross-validation tests and by comparing variables identified as explanatory in the traditional versus support vector machine regression. Rule-based approaches were applied to the model outputs to identify overall risk for distress. A decision tree was then applied to evidence-based instructions for tailoring distraction to characteristics and preferences of the parent and child. The resulting decision support computer application, the Children, Parents and Distraction (CPaD), is being used in research. Future use will support practitioners in deciding the level and type of distraction intervention needed by a child undergoing a healthcare procedure. PMID:22805121
Song, Lixin; Tyler, Christina; Clayton, Margaret F; Rodgiriguez-Rassi, Eleanor; Hill, Latorya; Bai, Jinbing; Pruthi, Raj; Bailey, Donald E
2017-02-01
To analyze the effects of a decision aid on improving patients' and family members' information giving and question asking during consultations for prostate cancer treatment decision-making. This study is a secondary analysis of archived audio-recorded real-time consultation visits with participants from a randomized clinical trial. Participants were randomly assigned into three groups: TD-intervention targeted patient-only; TS-intervention targeted patients and family members; and control-a handout on staying healthy during treatment. We conducted content analysis using a researcher-developed communication coding system. Using SAS 9.3, we conducted Chi-square/Fisher's exact test to examine whether information giving and question asking among patients and family members varied by groups when discussing different content/topics. Compared with those in the TS and control groups, significantly higher percentages of participants in the TD group demonstrated information giving in discussing topics about diagnosis, treatment options, risks and benefits, and preferences; and engaged in question asking when discussing diagnosis, watchful waiting/active surveillance, risks and benefits, and preferences for treatment impacts. Information support and communication skills training for patients were effective in improving communication during treatment decision-making consultations. Providing information about prostate cancer and communication skills training empower patients and their family members. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Song, Lixin; Tyler, Christina; Clayton, Margaret F.; Rodgiriguez-Rassi, Eleanor; Hill, Latorya; Bai, Jinbing; Pruthi, Raj; Bailey, Donald E.
2016-01-01
Objective To analyze the effects of a decision aid on improving patients’ and family members’ information giving and question asking during consultations for prostate cancer treatment decision-making. Methods This study is a secondary analysis of archived audio-recorded real-time consultation visits with participants from a randomized clinical trial. Participants were randomly assigned into three groups: TD—intervention targeted patient-only; TS—intervention targeted patients and family members; and control—a handout on staying healthy during treatment. We conducted content analysis using a researcher-developed communication coding system. Using SAS 9.3, we conducted Chi-square/Fisher’s exact test to examine whether information giving and question asking among patients and family members varied by groups when discussing different content/topics. Results Compared with those in the TS and control groups, significantly higher percentages of participants in the TD group demonstrated information giving in discussing topics about diagnosis, treatment options, risks and benefits, and preferences; and engaged in question asking when discussing diagnosis, watchful waiting/active surveillance, risks and benefits, and preferences for treatment impacts. Conclusion Information support and communication skills training for patients were effective in improving communication during treatment decision-making consultations. Practice implications Providing information about prostate cancer and communication skills training empower patients and their family members. PMID:27692491
E-DECIDER Disaster Response and Decision Support Cyberinfrastructure: Technology and Challenges
NASA Astrophysics Data System (ADS)
Glasscoe, M. T.; Parker, J. W.; Pierce, M. E.; Wang, J.; Eguchi, R. T.; Huyck, C. K.; Hu, Z.; Chen, Z.; Yoder, M. R.; Rundle, J. B.; Rosinski, A.
2014-12-01
Timely delivery of critical information to decision makers during a disaster is essential to response and damage assessment. Key issues to an efficient emergency response after a natural disaster include rapidly processing and delivering this critical information to emergency responders and reducing human intervention as much as possible. Essential elements of information necessary to achieve situational awareness are often generated by a wide array of organizations and disciplines, using any number of geospatial and non-geospatial technologies. A key challenge is the current state of practice does not easily support information sharing and technology interoperability. NASA E-DECIDER (Emergency Data Enhanced Cyber-Infrastructure for Disaster Evaluation and Response) has worked with the California Earthquake Clearinghouse and its partners to address these issues and challenges by adopting the XChangeCore Web Service Data Orchestration technology and participating in several earthquake response exercises. The E-DECIDER decision support system provides rapid delivery of advanced situational awareness data products to operations centers and emergency responders in the field. Remote sensing and hazard data, model-based map products, information from simulations, damage detection, and crowdsourcing is integrated into a single geospatial view and delivered through a service oriented architecture for improved decision-making and then directly to mobile devices of responders. By adopting a Service Oriented Architecture based on Open Geospatial Consortium standards, the system provides an extensible, comprehensive framework for geospatial data processing and distribution on Cloud platforms and other distributed environments. While the Clearinghouse and its partners are not first responders, they do support the emergency response community by providing information about the damaging effects earthquakes. It is critical for decision makers to maintain a situational awareness that is knowledgeable of potential and current conditions, possible impacts on populations and infrastructure, and other key information. E-DECIDER and the Clearinghouse have worked together to address many of these issues and challenges to deliver interoperable, authoritative decision support products.
van Til, Janine; Groothuis-Oudshoorn, Catharina; Lieferink, Marijke; Dolan, James; Goetghebeur, Mireille
2014-01-01
There is an increased interest in the use of multi-criteria decision analysis (MCDA) to support regulatory and reimbursement decision making. The EVIDEM framework was developed to provide pragmatic multi-criteria decision support in health care, to estimate the value of healthcare interventions, and to aid in priority-setting. The objectives of this study were to test 1) the influence of different weighting techniques on the overall outcome of an MCDA exercise, 2) the discriminative power in weighting different criteria of such techniques, and 3) whether different techniques result in similar weights in weighting the criteria set proposed by the EVIDEM framework. A sample of 60 Dutch and Canadian students participated in the study. Each student used an online survey to provide weights for 14 criteria with two different techniques: a five-point rating scale and one of the following techniques selected randomly: ranking, point allocation, pairwise comparison and best worst scaling. The results of this study indicate that there is no effect of differences in weights on value estimates at the group level. On an individual level, considerable differences in criteria weights and rank order occur as a result of the weight elicitation method used, and the ability of different techniques to discriminate in criteria importance. Of the five techniques tested, the pair-wise comparison of criteria has the highest ability to discriminate in weights when fourteen criteria are compared. When weights are intended to support group decisions, the choice of elicitation technique has negligible impact on criteria weights and the overall value of an innovation. However, when weights are used to support individual decisions, the choice of elicitation technique influences outcome and studies that use dissimilar techniques cannot be easily compared. Weight elicitation through pairwise comparison of criteria is preferred when taking into account its superior ability to discriminate between criteria and respondents' preferences.
Byskov, Jens; Marchal, Bruno; Maluka, Stephen; Zulu, Joseph M; Bukachi, Salome A; Hurtig, Anna-Karin; Blystad, Astrid; Kamuzora, Peter; Michelo, Charles; Nyandieka, Lillian N; Ndawi, Benedict; Bloch, Paul; Olsen, Oystein E
2014-08-20
Priority-setting decisions are based on an important, but not sufficient set of values and thus lead to disagreement on priorities. Accountability for Reasonableness (AFR) is an ethics-based approach to a legitimate and fair priority-setting process that builds upon four conditions: relevance, publicity, appeals, and enforcement, which facilitate agreement on priority-setting decisions and gain support for their implementation. This paper focuses on the assessment of AFR within the project REsponse to ACcountable priority setting for Trust in health systems (REACT). This intervention study applied an action research methodology to assess implementation of AFR in one district in Kenya, Tanzania, and Zambia, respectively. The assessments focused on selected disease, program, and managerial areas. An implementing action research team of core health team members and supporting researchers was formed to implement, and continually assess and improve the application of the four conditions. Researchers evaluated the intervention using qualitative and quantitative data collection and analysis methods. The values underlying the AFR approach were in all three districts well-aligned with general values expressed by both service providers and community representatives. There was some variation in the interpretations and actual use of the AFR in the decision-making processes in the three districts, and its effect ranged from an increase in awareness of the importance of fairness to a broadened engagement of health team members and other stakeholders in priority setting and other decision-making processes. District stakeholders were able to take greater charge of closing the gap between nationally set planning and the local realities and demands of the served communities within the limited resources at hand. This study thus indicates that the operationalization of the four broadly defined and linked conditions is both possible and seems to be responding to an actual demand. This provides arguments for the continued application and further assessment of the potential of AFR in supporting priority-setting and other decision-making processes in health systems to achieve better agreed and more sustainable health improvements linked to a mutual democratic learning with potential wider implications.
Freebairn, L; Atkinson, J; Kelly, P; McDonnell, G; Rychetnik, L
2016-09-21
Evidence-informed decision-making is essential to ensure that health programs and services are effective and offer value for money; however, barriers to the use of evidence persist. Emerging systems science approaches and advances in technology are providing new methods and tools to facilitate evidence-based decision-making. Simulation modelling offers a unique tool for synthesising and leveraging existing evidence, data and expert local knowledge to examine, in a robust, low risk and low cost way, the likely impact of alternative policy and service provision scenarios. This case study will evaluate participatory simulation modelling to inform the prevention and management of gestational diabetes mellitus (GDM). The risks associated with GDM are well recognised; however, debate remains regarding diagnostic thresholds and whether screening and treatment to reduce maternal glucose levels reduce the associated risks. A diagnosis of GDM may provide a leverage point for multidisciplinary lifestyle modification interventions. This research will apply and evaluate a simulation modelling approach to understand the complex interrelation of factors that drive GDM rates, test options for screening and interventions, and optimise the use of evidence to inform policy and program decision-making. The study design will use mixed methods to achieve the objectives. Policy, clinical practice and research experts will work collaboratively to develop, test and validate a simulation model of GDM in the Australian Capital Territory (ACT). The model will be applied to support evidence-informed policy dialogues with diverse stakeholders for the management of GDM in the ACT. Qualitative methods will be used to evaluate simulation modelling as an evidence synthesis tool to support evidence-based decision-making. Interviews and analysis of workshop recordings will focus on the participants' engagement in the modelling process; perceived value of the participatory process, perceived commitment, influence and confidence of stakeholders in implementing policy and program decisions identified in the modelling process; and the impact of the process in terms of policy and program change. The study will generate empirical evidence on the feasibility and potential value of simulation modelling to support knowledge mobilisation and consensus building in health settings.
2014-01-01
Background Priority-setting decisions are based on an important, but not sufficient set of values and thus lead to disagreement on priorities. Accountability for Reasonableness (AFR) is an ethics-based approach to a legitimate and fair priority-setting process that builds upon four conditions: relevance, publicity, appeals, and enforcement, which facilitate agreement on priority-setting decisions and gain support for their implementation. This paper focuses on the assessment of AFR within the project REsponse to ACcountable priority setting for Trust in health systems (REACT). Methods This intervention study applied an action research methodology to assess implementation of AFR in one district in Kenya, Tanzania, and Zambia, respectively. The assessments focused on selected disease, program, and managerial areas. An implementing action research team of core health team members and supporting researchers was formed to implement, and continually assess and improve the application of the four conditions. Researchers evaluated the intervention using qualitative and quantitative data collection and analysis methods. Results The values underlying the AFR approach were in all three districts well-aligned with general values expressed by both service providers and community representatives. There was some variation in the interpretations and actual use of the AFR in the decision-making processes in the three districts, and its effect ranged from an increase in awareness of the importance of fairness to a broadened engagement of health team members and other stakeholders in priority setting and other decision-making processes. Conclusions District stakeholders were able to take greater charge of closing the gap between nationally set planning and the local realities and demands of the served communities within the limited resources at hand. This study thus indicates that the operationalization of the four broadly defined and linked conditions is both possible and seems to be responding to an actual demand. This provides arguments for the continued application and further assessment of the potential of AFR in supporting priority-setting and other decision-making processes in health systems to achieve better agreed and more sustainable health improvements linked to a mutual democratic learning with potential wider implications. PMID:25142148
Asiodu, Ifeyinwa V; Waters, Catherine M; Dailey, Dawn E; Lyndon, Audrey
2017-04-01
Background While breast milk is considered the gold standard of infant feeding, a majority of African American mothers are not exclusively breastfeeding their newborn infants. Objective The overall goal of this critical ethnographic research study was to describe infant feeding perceptions and experiences of African American mothers and their support persons. Methods Twenty-two participants (14 pregnant women and eight support persons) were recruited from public health programs and community based organizations in northern California. Data were collected through field observations, demographic questionnaires, and multiple in-person interviews. Thematic analysis was used to identify key themes. Results Half of the mothers noted an intention to exclusively breastfeed during the antepartum period. However, few mothers exclusively breastfed during the postpartum period. Many participants expressed guilt and shame for not being able to accomplish their antepartum goals. Life experiences and stressors, lack of breastfeeding role models, limited experiences with breastfeeding and lactation, and changes to the family dynamic played a major role in the infant feeding decision making process and breastfeeding duration. Conclusions for Practice Our observations suggest that while exclusivity goals were not being met, a considerable proportion of African American women were breastfeeding. Future interventions geared towards this population should include social media interventions, messaging around combination feeding, and increased education for identified social support persons. Public health measures aimed at reducing the current infant feeding inequities would benefit by also incorporating more culturally inclusive messaging around breastfeeding and lactation.
Fried, Terri R; Tinetti, Mary E; Iannone, Lynne
2011-01-10
Clinicians are caring for an increasing number of older patients with multiple diseases in the face of uncertainty concerning the benefits and harms associated with guideline-directed interventions. Understanding how primary care clinicians approach treatment decision making for these patients is critical to the design of interventions to improve the decision-making process. Focus groups were conducted with 40 primary care clinicians (physicians, nurse practitioners, and physician assistants) in academic, community, and Veterans Affairs-affiliated primary care practices. Participants were given open-ended questions about their approach to treatment decision making for older persons with multiple medical conditions. Responses were organized into themes using qualitative content analysis. The participants were concerned about their patients' ability to adhere to complex regimens derived from guideline-directed care. There was variability in beliefs regarding, and approaches to balancing, the benefits and harms of guideline-directed care. There was also variability regarding how the participants involved patients in the process of decision making, with clinicians describing conflicts between their own and their patients' goals. The participants listed a number of barriers to making good treatment decisions, including the lack of outcome data, the role of specialists, patient and family expectations, and insufficient time and reimbursement. The experiences of practicing clinicians suggest that they struggle with the uncertainties of applying disease-specific guidelines to their older patients with multiple conditions. To improve decision making, they need more data, alternative guidelines, approaches to reconciling their own and their patients' priorities, the support of their subspecialist colleagues, and an altered reimbursement system.
2014-01-01
Background Clinical decision support (CDS) has been shown to be effective in improving medical safety and quality but there is little information on how telephone triage benefits from CDS. The aim of our study was to compare triage documentation quality associated with the use of a clinical decision support tool, ExpertRN©. Methods We examined 50 triage documents before and after a CDS tool was used in nursing triage. To control for the effects of CDS training we had an additional control group of triage documents created by nurses who were trained in the CDS tool, but who did not use it in selected notes. The CDS intervention cohort of triage notes was compared to both the pre-CDS notes and the CDS trained (but not using CDS) cohort. Cohorts were compared using the documentation standards of the American Academy of Ambulatory Care Nursing (AAACN). We also compared triage note content (documentation of associated positive and negative features relating to the symptoms, self-care instructions, and warning signs to watch for), and documentation defects pertinent to triage safety. Results Three of five AAACN documentation standards were significantly improved with CDS. There was a mean of 36.7 symptom features documented in triage notes for the CDS group but only 10.7 symptom features in the pre-CDS cohort (p < 0.0001) and 10.2 for the cohort that was CDS-trained but not using CDS (p < 0.0001). The difference between the mean of 10.2 symptom features documented in the pre-CDS and the mean of 10.7 symptom features documented in the CDS-trained but not using was not statistically significant (p = 0.68). Conclusions CDS significantly improves triage note documentation quality. CDS-aided triage notes had significantly more information about symptoms, warning signs and self-care. The changes in triage documentation appeared to be the result of the CDS alone and not due to any CDS training that came with the CDS intervention. Although this study shows that CDS can improve documentation, further study is needed to determine if it results in improved care. PMID:24645674
Youngerman, Brett E; Salmasian, Hojjat; Carter, Eileen J; Loftus, Michael L; Perotte, Rimma; Ross, Barbara G; Furuya, E Yoko; Green, Robert A; Vawdrey, David K
2018-06-13
To integrate electronic clinical decision support tools into clinical practice and to evaluate the impact on indwelling urinary catheter (IUC) use and catheter-associated urinary tract infections (CAUTIs).Design, Setting, and ParticipantsThis 4-phase observational study included all inpatients at a multicampus, academic medical center between 2011 and 2015.InterventionsPhase 1 comprised best practices training and standardization of electronic documentation. Phase 2 comprised real-time electronic tracking of IUC duration. In phase 3, a triggered alert reminded clinicians of IUC duration. In phase 4, a new IUC order (1) introduced automated order expiration and (2) required consideration of alternatives and selection of an appropriate indication. Overall, 2,121 CAUTIs, 179,070 new catheters, 643,055 catheter days, and 2,186 reinsertions occurred in 3·85 million hospitalized patient days during the study period. The CAUTI rate per 10,000 patient days decreased incrementally in each phase from 9·06 in phase 1 to 1·65 in phase 4 (relative risk [RR], 0·182; 95% confidence interval [CI], 0·153-0·216; P<·001). New catheters per 1,000 patient days declined from 53·4 in phase 1 to 39·5 in phase 4 (RR, 0·740; 95% CI, 0·730; P<·001), and catheter days per 1,000 patient days decreased from 194·5 in phase 1 to 140·7 in phase 4 (RR, 0·723; 95% CI, 0·719-0·728; P<·001). The reinsertion rate declined from 3·66% in phase 1 to 3·25% in phase 4 (RR, 0·894; 95% CI, 0·834-0·959; P=·0017). The phased introduction of decision support tools was associated with progressive declines in new catheters, total catheter days, and CAUTIs. Clinical decision support tools offer a viable and scalable intervention to target hospital-wide IUC use and hold promise for other quality improvement initiatives.
North, Frederick; Richards, Debra D; Bremseth, Kimberly A; Lee, Mary R; Cox, Debra L; Varkey, Prathibha; Stroebel, Robert J
2014-03-20
Clinical decision support (CDS) has been shown to be effective in improving medical safety and quality but there is little information on how telephone triage benefits from CDS. The aim of our study was to compare triage documentation quality associated with the use of a clinical decision support tool, ExpertRN©. We examined 50 triage documents before and after a CDS tool was used in nursing triage. To control for the effects of CDS training we had an additional control group of triage documents created by nurses who were trained in the CDS tool, but who did not use it in selected notes. The CDS intervention cohort of triage notes was compared to both the pre-CDS notes and the CDS trained (but not using CDS) cohort. Cohorts were compared using the documentation standards of the American Academy of Ambulatory Care Nursing (AAACN). We also compared triage note content (documentation of associated positive and negative features relating to the symptoms, self-care instructions, and warning signs to watch for), and documentation defects pertinent to triage safety. Three of five AAACN documentation standards were significantly improved with CDS. There was a mean of 36.7 symptom features documented in triage notes for the CDS group but only 10.7 symptom features in the pre-CDS cohort (p < 0.0001) and 10.2 for the cohort that was CDS-trained but not using CDS (p < 0.0001). The difference between the mean of 10.2 symptom features documented in the pre-CDS and the mean of 10.7 symptom features documented in the CDS-trained but not using was not statistically significant (p = 0.68). CDS significantly improves triage note documentation quality. CDS-aided triage notes had significantly more information about symptoms, warning signs and self-care. The changes in triage documentation appeared to be the result of the CDS alone and not due to any CDS training that came with the CDS intervention. Although this study shows that CDS can improve documentation, further study is needed to determine if it results in improved care.
Bronner, Katharina; Perneczky, Robert; McCabe, Rose; Kurz, Alexander; Hamann, Johannes
2016-03-08
The relevance of early decision making will rise with increasing availability of early detection of Alzheimer's disease (AD) using brain imaging or biomarkers. Five people with mild AD, six relatives and 13 healthcare professionals with experience in the management of AD were interviewed in a qualitative study regarding medical and social decision topics that emerge after early diagnosis of Alzheimer's disease. Medical treatment, assistance in everyday life and legal issues emerged as the main decision topics after an early diagnosis of AD. People with AD mostly got in contact with the health and social care system through the initiative of their spouses. They were usually aware of their illness and most received antidementia drugs and/or behavioural interventions. Following diagnosis people with AD received support by their spouses. Healthcare professionals were aware of the risk of excessive demand on relatives due to supporting their family member with AD. In the opinion of healthcare professionals legal issues should be arranged in time before patients lose their decisional capacity. In addition, people with AD and spouses reported various coping strategies, in particular "carry on as normal" after diagnosis but mostly are reluctant to actively plan for future stages of the disease. Due to the common desire to "carry on as usual" after a diagnosis of AD, many people with AD and spouses may miss the opportunity to discuss and decide on important medical and social topics. A structured approach e.g. a decision aid might support people with AD and spouses in their decision making process and thereby preserve persons' with AD autonomy before they lose the capacity in decision-making.
Mackenzie, Kelly; Goyder, Elizabeth; Eves, Francis
2015-12-24
Prolonged sedentary time is linked with poor health, independent of physical activity levels. Workplace sitting significantly contributes to sedentary time, but there is limited research evaluating low-cost interventions targeting reductions in workplace sitting. Current evidence supports the use of multi-modal interventions developed using participative approaches. This study aimed to explore the acceptability and feasibility of a low-cost, co-produced, multi-modal intervention to reduce workplace sitting. The intervention was developed with eleven volunteers from a large university department in the UK using participative approaches and "brainstorming" techniques. Main components of the intervention included: emails suggesting ways to "sit less" e.g. walking and standing meetings; free reminder software to install onto computers; social media to increase awareness; workplace champions; management support; and point-of-decision prompts e.g. by lifts encouraging stair use. All staff (n = 317) were invited to take part. Seventeen participated in all aspects of the evaluation, completing pre- and post-intervention sitting logs and questionnaires. The intervention was delivered over four weeks from 7th July to 3rd August 2014. Pre- and post-intervention difference in daily workplace sitting time was presented as a mean ± standard deviation. Questionnaires were used to establish awareness of the intervention and its various elements, and to collect qualitative data regarding intervention acceptability and feasibility. Mean baseline sitting time of 440 min/workday was reported with a mean reduction of 26 ± 54 min/workday post-intervention (n = 17, 95 % CI = -2 to 53). All participants were aware of the intervention as a whole, although there was a range of awareness for individual elements of the intervention. The intervention was generally felt to be both acceptable and feasible. Management support was perceived to be a strength, whilst specific strategies that were encouraged, including walking and standing meetings, received mixed feedback. This small-scale pilot provides encouragement for the acceptability and feasibility of low-cost, multi-modal interventions to reduce workplace sitting in UK settings. Evaluation of this intervention provides useful information to support participatory approaches during intervention development and the potential for more sustainable low-cost interventions. Findings may be limited in terms of generalisability as this pilot was carried out within a health-related academic setting.
Integration of RAMS in LCC analysis for linear transport infrastructures. A case study for railways.
NASA Astrophysics Data System (ADS)
Calle-Cordón, Álvaro; Jiménez-Redondo, Noemi; Morales-Gámiz, F. J.; García-Villena, F. A.; Garmabaki, Amir H. S.; Odelius, Johan
2017-09-01
Life-cycle cost (LCC) analysis is an economic technique used to assess the total costs associated with the lifetime of a system in order to support decision making in long term strategic planning. For complex systems, such as railway and road infrastructures, the cost of maintenance plays an important role in the LCC analysis. Costs associated with maintenance interventions can be more reliably estimated by integrating the probabilistic nature of the failures associated to these interventions in the LCC models. Reliability, Maintainability, Availability and Safety (RAMS) parameters describe the maintenance needs of an asset in a quantitative way by using probabilistic information extracted from registered maintenance activities. Therefore, the integration of RAMS in the LCC analysis allows obtaining reliable predictions of system maintenance costs and the dependencies of these costs with specific cost drivers through sensitivity analyses. This paper presents an innovative approach for a combined RAMS & LCC methodology for railway and road transport infrastructures being developed under the on-going H2020 project INFRALERT. Such RAMS & LCC analysis provides relevant probabilistic information to be used for condition and risk-based planning of maintenance activities as well as for decision support in long term strategic investment planning.
Acceptance of clinical decision support surveillance technology in the clinical pharmacy.
English, Dan; Ankem, Kalyani; English, Kathleen
2017-03-01
There are clinical and economic benefits to incorporating clinical decision support systems (CDSSs) in patient care interventions in the clinical pharmacy setting. However, user dissatisfaction and resistance to HIT can prevent optimal use of such systems, particularly when users employ system workarounds and overrides. The present study applied a modified version of the unified theory of acceptance and use of technology (UTAUT) to evaluate the disposition and satisfaction with CDSS among clinical pharmacists who perform surveillance to identify potential medication therapy interventions on patients in the hospital setting. A survey of clinical pharmacists (N = 48) was conducted. Partial least squares (PLS) regression was used to analyze the influence of the UTAUT-related variables on behavioral intention and satisfaction with CDSS among clinical pharmacists. While behavioral intention did not predict actual use of HIT, facilitating conditions had a direct effect on pharmacists' use of CDSS. Likewise, satisfaction with CDSS was found to have a direct effect on use, with more satisfied users being less inclined to employ workarounds or overrides of the system. Based on the findings, organizational structures that facilitate CDSS use and user satisfaction affect the extent to which pharmacy and health care management maximize use in the clinical pharmacy setting.
Interventions for promoting participation in shared decision-making for children with cancer.
Coyne, Imelda; O'Mathúna, Dónal P; Gibson, Faith; Shields, Linda; Sheaf, Greg
2013-06-06
Children's rights to have their views heard in matters that affect their lives are now well established since the publication of the UN Convention treaty (1989). Children with cancer generally prefer to be involved in decision-making and consider it important that they have the opportunity to take part in decision-making concerning their health care, even in end-of-life decisions. There is considerable support for involving children in healthcare decision-making at a level commensurate with their experience, age and abilities. Thus healthcare professionals and parents need to know how they should involve children in decision-making and what interventions are most effective in promoting shared decision-making (SDM) for children with cancer. To examine the effects of SDM interventions on the process of SDM for children with cancer who are aged four to 18 years. We searched the following sources: Cochrane Central Register of Controlled Trials (CENTRAL), The Cochrane Library, Issue 9, 2012); PubMed (1946 to September 2012); EMBASE (1974 to September 2012); CINAHL (1982 to September 2012); PsycINFO (1806 to September 2012); BIOSIS (1980 to December 2009 - subscription ceased at that date); ERIC (1966 to September 2012); ProQuest Dissertations and Theses (1637 to September 2012); and Sociological Abstracts (1952 to September 2012). We searched for information about trials not registered in these resources, either published or unpublished, by searching the reference lists of relevant articles and review articles and the following conference proceedings (2005-2012):American Academy on Communication in Healthcare (AACH), European Society for Medical Oncology (ESMO), European Cancer Conference (ECCO), European Association for Communication in Healthcare (EACH), International Conference on Communication in Healthcare (ICCH), International Shared Decision Making Conference (ISDM 2005-2011 as held every two years), Annual Conference of the International Society for Paediatric Oncology (SIOP) and Annual Scientific Meeting of the Society for Medical Decision Making (SMDM).We searched the International Scientific and Technical Proceedings database (2005 to September 2012). We also searched Dissertation Abstracts (from 1980 to September 2012).We scanned the ISRCTN (International Standard Randomized Controlled Trial Number) register and the National Institute of Health (NIH) Register for ongoing trials at: www.controlled-trials.com and clinicaltrials.gov on the 1 October 2012. We contacted authors for further details. We also contacted experts in this field.We did not impose language restrictions. Randomised controlled trials (RCTs) of SDM interventions for children with cancer aged four to 18 years. The types of decisions included were: treatment, health care, and research participation decisions. The primary outcome was SDM as measured with any validated scale. Two review authors undertook the searches, and three review authors independently assessed the studies obtained. We contacted study authors for additional information. No studies met the inclusion criteria, and hence no analysis could be undertaken. No conclusions can be made on the effects of interventions to promote SDM for children with cancer aged four to 18 years. This review has highlighted the dearth of high-quality quantitative research on interventions to promote participation in SDM for children with cancer. There are many potential reasons for the lack of SDM intervention studies with children. Attitudes towards children's participation are slowly changing in society and such changes may take time to be translated or adopted in healthcare settings. The priority may be on developing interventions that promote children's participation in communication interactions since information-sharing is a prerequisite for SDM. Restricting this review to RCTs was a limitation and extending the review to non-randomised studies (NRS) may have produced more evidence. We plan to expand the types of studies in future updates. Clearly more research is needed.
Taveras, Elsie M; Marshall, Richard; Kleinman, Ken P; Gillman, Matthew W; Hacker, Karen; Horan, Christine M; Smith, Renata L; Price, Sarah; Sharifi, Mona; Rifas-Shiman, Sheryl L; Simon, Steven R
2015-06-01
Evidence of effective treatment of childhood obesity in primary care settings is limited. To examine the extent to which computerized clinical decision support (CDS) delivered to pediatric clinicians at the point of care of obese children, with or without individualized family coaching, improved body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) and quality of care. We conducted a cluster-randomized, 3-arm clinical trial. We enrolled 549 children aged 6 to 12 years with a BMI at the 95% percentile or higher from 14 primary care practices in Massachusetts from October 1, 2011, through June 30, 2012. Patients were followed up for 1 year (last follow-up, August 30, 2013). In intent-to-treat analyses, we used linear mixed-effects models to account for clustering by practice and within each person. In 5 practices randomized to CDS, pediatric clinicians received decision support on obesity management, and patients and their families received an intervention for self-guided behavior change. In 5 practices randomized to CDS + coaching, decision support was augmented by individualized family coaching. The remaining 4 practices were randomized to usual care. Smaller age-associated change in BMI and the Healthcare Effectiveness Data and Information Set (HEDIS) performance measures for obesity during the 1-year follow-up. At baseline, mean (SD) patient age and BMI were 9.8 (1.9) years and 25.8 (4.3), respectively. At 1 year, we obtained BMI from 518 children (94.4%) and HEDIS measures from 491 visits (89.4%). The 3 randomization arms had different effects on BMI over time (P = .04). Compared with the usual care arm, BMI increased less in children in the CDS arm during 1 year (-0.51 [95% CI, -0.91 to -0.11]). The CDS + coaching arm had a smaller magnitude of effect (-0.34 [95% CI, -0.75 to 0.07]). We found substantially greater achievement of childhood obesity HEDIS measures in the CDS arm (adjusted odds ratio, 2.28 [95% CI, 1.15-4.53]) and CDS + coaching arm (adjusted odds ratio, 2.60 [95% CI, 1.25-5.41]) and higher use of HEDIS codes for nutrition or physical activity counseling (CDS arm, 45%; CDS + coaching arm, 25%; P < .001 compared with usual care arm). An intervention that included computerized CDS for pediatric clinicians and support for self-guided behavior change for families resulted in improved childhood BMI. Both interventions improved the quality of care for childhood obesity. clinicaltrials.gov Identifier: NCT01537510.
2012-01-01
Background Efficient rule authoring tools are critical to allow clinical Knowledge Engineers (KEs), Software Engineers (SEs), and Subject Matter Experts (SMEs) to convert medical knowledge into machine executable clinical decision support rules. The goal of this analysis was to identify the critical success factors and challenges of a fully functioning Rule Authoring Environment (RAE) in order to define requirements for a scalable, comprehensive tool to manage enterprise level rules. Methods The authors evaluated RAEs in active use across Partners Healthcare, including enterprise wide, ambulatory only, and system specific tools, with a focus on rule editors for reminder and medication rules. We conducted meetings with users of these RAEs to discuss their general experience and perceived advantages and limitations of these tools. Results While the overall rule authoring process is similar across the 10 separate RAEs, the system capabilities and architecture vary widely. Most current RAEs limit the ability of the clinical decision support (CDS) interventions to be standardized, sharable, interoperable, and extensible. No existing system meets all requirements defined by knowledge management users. Conclusions A successful, scalable, integrated rule authoring environment will need to support a number of key requirements and functions in the areas of knowledge representation, metadata, terminology, authoring collaboration, user interface, integration with electronic health record (EHR) systems, testing, and reporting. PMID:23145874
Lowe, Jeanne R; Raugi, Gregory J; Reiber, Gayle E; Whitney, Joanne D
2013-01-01
The purpose of this cohort study was to evaluate the effect of a 1-year intervention of an electronic medical record wound care template on the completeness of wound care documentation and medical coding compared to a similar time interval for the fiscal year preceding the intervention. From October 1, 2006, to September 30, 2007, a "good wound care" intervention was implemented at a rural Veterans Affairs facility to prevent amputations in veterans with diabetes and foot ulcers. The study protocol included a template with foot ulcer variables embedded in the electronic medical record to facilitate data collection, support clinical decision making, and improve ordering and medical coding. The intervention group showed significant differences in complete documentation of good wound care compared to the historic control group (χ = 15.99, P < .001), complete documentation of coding for diagnoses and procedures (χ = 30.23, P < .001), and complete documentation of both good wound care and coding for diagnoses and procedures (χ = 14.96, P < .001). An electronic wound care template improved documentation of evidence-based interventions and facilitated coding for wound complexity and procedures.
Hannon, Tamara S; Dugan, Tamara M; Saha, Chandan K; McKee, Steven J; Downs, Stephen M; Carroll, Aaron E
2017-04-01
Type 2 diabetes (T2D) is increasingly common in young individuals. Primary prevention and screening among children and adolescents who are at substantial risk for T2D are recommended, but implementation of T2D screening practices in the pediatric primary care setting is uncommon. To determine the feasibility and effectiveness of a computerized clinical decision support system to identify pediatric patients at high risk for T2D and to coordinate screening for and diagnosis of prediabetes and T2D. This cluster-randomized clinical trial included patients from 4 primary care pediatric clinics. Two clinics were randomized to the computerized clinical decision support intervention, aimed at physicians, and 2 were randomized to the control condition. Patients of interest included children, adolescents, and young adults 10 years or older. Data were collected from January 1, 2013, through December 1, 2016. Comparison of physician screening and follow-up practices after adding a T2D module to an existing computer decision support system. Electronic medical record (EMR) data from patients 10 years or older were reviewed to determine the rates at which pediatric patients were identified as having a body mass index (BMI) at or above the 85th percentile and 2 or more risk factors for T2D and underwent screening for T2D. Medical records were reviewed for 1369 eligible children (712 boys [52.0%] and 657 girls [48.0%]; median [interquartile range] age, 12.9 [11.2-15.3]), of whom 684 were randomized to the control group and 685 to the intervention group. Of these, 663 (48.4%) had a BMI at or above the 85th percentile. Five hundred sixty-five patients (41.3%) met T2D screening criteria, with no difference between control and intervention sites. The T2D module led to a significant increase in the percentage of patients undergoing screening for T2D (89 of 283 [31.4%] vs 26 of 282 [9.2%]; adjusted odds ratio, 4.6; 95% CI, 1.5-14.7) and a greater proportion attending a scheduled follow-up appointment (45 of 153 [29.4%] vs 38 of 201 [18.9%]; adjusted odds ratio, 1.8; 95% CI, 1.5-2.2). Use of a computerized clinical decision support system to automate the identification and screening of pediatric patients at high risk for T2D can help overcome barriers to the screening process. The support system significantly increased screening among patients who met the American Diabetes Association criteria and adherence to follow-up appointments with primary care clinicians. clinicaltrials.gov Identifier: NCT01814787.
Sheehan, Barbara; Nigrovic, Lise E; Dayan, Peter S; Kuppermann, Nathan; Ballard, Dustin W; Alessandrini, Evaline; Bajaj, Lalit; Goldberg, Howard; Hoffman, Jeffrey; Offerman, Steven R; Mark, Dustin G; Swietlik, Marguerite; Tham, Eric; Tzimenatos, Leah; Vinson, David R; Jones, Grant S; Bakken, Suzanne
2013-10-01
Integration of clinical decision support services (CDSS) into electronic health records (EHRs) may be integral to widespread dissemination and use of clinical prediction rules in the emergency department (ED). However, the best way to design such services to maximize their usefulness in such a complex setting is poorly understood. We conducted a multi-site cross-sectional qualitative study whose aim was to describe the sociotechnical environment in the ED to inform the design of a CDSS intervention to implement the Pediatric Emergency Care Applied Research Network (PECARN) clinical prediction rules for children with minor blunt head trauma. Informed by a sociotechnical model consisting of eight dimensions, we conducted focus groups, individual interviews and workflow observations in 11 EDs, of which 5 were located in academic medical centers and 6 were in community hospitals. A total of 126 ED clinicians, information technology specialists, and administrators participated. We clustered data into 19 categories of sociotechnical factors through a process of thematic analysis and subsequently organized the categories into a sociotechnical matrix consisting of three high-level sociotechnical dimensions (workflow and communication, organizational factors, human factors) and three themes (interdisciplinary assessment processes, clinical practices related to prediction rules, EHR as a decision support tool). Design challenges that emerged from the analysis included the need to use structured data fields to support data capture and re-use while maintaining efficient care processes, supporting interdisciplinary communication, and facilitating family-clinician interaction for decision-making. Copyright © 2013 Elsevier Inc. All rights reserved.
Welch, Madelyn; Ludden, Tom; Mottus, Kathleen; Bray, Paul; Hendrickson, Lori; Rees, Jennifer; Halladay, Jacqueline; Tapp, Hazel
2018-06-21
Poor outcomes and health disparities related to asthma result in part from difficulty disseminating new evidence such as shared decision making (SDM) into clinical practice. As part of a three-arm cluster randomized dissemination study, evaluation of the impact of different dissemination methods was studied. Here we evaluate themes from patient and provider focus groups to assess the impact of a facilitated, traditional dissemination approach, or no intervention, on patient and provider perspectives of asthma care. Using semi-structured questions, twenty-four pre- and post-intervention focus groups with patients and providers took place across primary care practices. Discussions were held in all three arms both before and after the time of intervention rollout. Audio recordings were transcribed and analyzed for themes. Across all sites patients and providers discussed themes of communication, asthma self-management, barriers, education, and patient awareness. After the intervention, compared to traditional sites, facilitated practices were more likely to discuss themes related to SDM, such as patient-centered communication, patient-provider negotiation on treatment plan, planning, goal-setting, and solutions to barriers. Emergent themes allowed for further understanding of how the SDM implementation was perceived at the patient and provider level. The facilitated implementation was associated with higher adoption of the SDM intervention. These themes and supporting quotes add to knowledge of best practices associated with implementing an evidence-based SDM intervention for asthma into primary care and will inform researchers, practices, and providers as they work to improve adoption of evidence-based interventions into practice.
Hartzler, Bryan; Peavy, K Michelle; Jackson, T Ron; Carney, Molly
2016-01-22
Pragmatic trials of empirically-supported behavior therapies may inform clinical and policy decisions concerning therapy sustainment. This retrospective trial design paper describes and discusses pragmatic features of a hybrid type III implementation/effectiveness trial of a contingency management (CM) intervention at an opioid treatment program. Prior reporting (Hartzler et al., J Subst Abuse Treat 46:429-438, 2014; Hartzler, Subst Abuse Treat Prev Policy 10:30, 2015) notes success in recruiting program staff for voluntary participation, durable impacts of CM training on staff-level outcomes, provisional setting implementation of the intervention, documentation of clinical effectiveness, and post-trial sustainment of CM. Six pragmatic design features, and both scientific and practical bases for their inclusion in the trial, are presented: (1) a collaborative intervention design process, (2) voluntary recruitment of program staff for therapy training and implementation, (3) serial training outcome assessments, with quasi-experimental staff randomization to either single or multiple baseline assessment conditions, (4) designation of a 90-day period immediately after training in which the setting implemented the intervention on a provisional basis, (5) inclusive patient eligibility for receipt of the CM intervention, and (6) designation of two staff as local implementation leaders to oversee clinical/administrative issues in provisional implementation. Each pragmatic trial design feature is argued to have contributed to sustainment of CM. Contributions implicate the building of setting proprietorship for the CM intervention, culling of internal staff expertise in its delivery, iterative use of assessment methods that limited setting burden, documentation of setting-specific clinical effectiveness, expanded penetration of CM among staff during provisional implementation, and promotion of setting self-reliance in the oversight of sustainable implementation procedures. It is hoped this discussion offers ideas for how to impact local clinical and policy decisions via effective behavior therapy dissemination.
Kane-Gill, Sandra L; O'Connor, Michael F; Rothschild, Jeffrey M; Selby, Nicholas M; McLean, Barbara; Bonafide, Christopher P; Cvach, Maria M; Hu, Xiao; Konkani, Avinash; Pelter, Michele M; Winters, Bradford D
2017-09-01
To provide ICU clinicians with evidence-based guidance on tested interventions that reduce or prevent alert fatigue within clinical decision support systems. Systematic review of PubMed, Embase, SCOPUS, and CINAHL for relevant literature from 1966 to February 2017. Focus on critically ill patients and included evaluations in other patient care settings, as well. Identified interventions designed to reduce or prevent alert fatigue within clinical decision support systems. Study selection was based on one primary key question to identify effective interventions that attempted to reduce alert fatigue and three secondary key questions that covered the negative effects of alert fatigue, potential unintended consequences of efforts to reduce alert fatigue, and ideal alert quantity. Data were abstracted by two reviewers independently using a standardized abstraction tool. Surveys, meeting abstracts, "gray" literature, studies not available in English, and studies with non-original data were excluded. For the primary key question, articles were excluded if they did not provide a comparator as key question 1 was designed as a problem, intervention, comparison, and outcome question. We anticipated that reduction in alert fatigue, including the concept of desensitization may not be directly measured and thus considered interventions that reduced alert quantity as a surrogate marker for alert fatigue. Twenty-six articles met the inclusion criteria. Approaches for managing alert fatigue in the ICU are provided as a result of reviewing tested interventions that reduced alert quantity with the anticipated effect of reducing fatigue. Suggested alert management strategies include prioritizing alerts, developing sophisticated alerts, customizing commercially available alerts, and including end user opinion in alert selection. Alert fatigue itself is studied less frequently, as an outcome, and there is a need for more precise evaluation. Standardized metrics for alert fatigue is needed to advance the field. Suggestions for standardized metrics are provided in this document.
Jenkins, Hazel J.; Hancock, Mark J.; French, Simon D.; Maher, Chris G.; Engel, Roger M.; Magnussen, John S.
2015-01-01
Background: Rates of imaging for low-back pain are high and are associated with increased health care costs and radiation exposure as well as potentially poorer patient outcomes. We conducted a systematic review to investigate the effectiveness of interventions aimed at reducing the use of imaging for low-back pain. Methods: We searched MEDLINE, Embase, CINAHL and the Cochrane Central Register of Controlled Trials from the earliest records to June 23, 2014. We included randomized controlled trials, controlled clinical trials and interrupted time series studies that assessed interventions designed to reduce the use of imaging in any clinical setting, including primary, emergency and specialist care. Two independent reviewers extracted data and assessed risk of bias. We used raw data on imaging rates to calculate summary statistics. Study heterogeneity prevented meta-analysis. Results: A total of 8500 records were identified through the literature search. Of the 54 potentially eligible studies reviewed in full, 7 were included in our review. Clinical decision support involving a modified referral form in a hospital setting reduced imaging by 36.8% (95% confidence interval [CI] 33.2% to 40.5%). Targeted reminders to primary care physicians of appropriate indications for imaging reduced referrals for imaging by 22.5% (95% CI 8.4% to 36.8%). Interventions that used practitioner audits and feedback, practitioner education or guideline dissemination did not significantly reduce imaging rates. Lack of power within some of the included studies resulted in lack of statistical significance despite potentially clinically important effects. Interpretation: Clinical decision support in a hospital setting and targeted reminders to primary care doctors were effective interventions in reducing the use of imaging for low-back pain. These are potentially low-cost interventions that would substantially decrease medical expenditures associated with the management of low-back pain. PMID:25733741
El-Jawahri, Areej; Paasche-Orlow, Michael K; Matlock, Dan; Stevenson, Lynne Warner; Lewis, Eldrin F; Stewart, Garrick; Semigran, Marc; Chang, Yuchiao; Parks, Kimberly; Walker-Corkery, Elizabeth S; Temel, Jennifer S; Bohossian, Hacho; Ooi, Henry; Mann, Eileen; Volandes, Angelo E
2016-07-05
Conversations about goals of care and cardiopulmonary resuscitation (CPR)/intubation for patients with advanced heart failure can be difficult. This study examined the impact of a video decision support tool and patient checklist on advance care planning for patients with heart failure. This was a multisite, randomized, controlled trial of a video-assisted intervention and advance care planning checklist versus a verbal description in 246 patients ≥64 years of age with heart failure and an estimated likelihood of death of >50% within 2 years. Intervention participants received a verbal description for goals of care (life-prolonging care, limited care, and comfort care) and CPR/intubation plus a 6-minute video depicting the 3 levels of care, CPR/intubation, and an advance care planning checklist. Control subjects received only the verbal description. The primary analysis compared the proportion of patients preferring comfort care between study arms immediately after the intervention. Secondary outcomes were CPR/intubation preferences and knowledge (6-item test; range, 0-6) after intervention. In the intervention group, 27 (22%) chose life-prolonging care, 31 (25%) chose limited care, 63 (51%) selected comfort care, and 2 (2%) were uncertain. In the control group, 50 (41%) chose life-prolonging care, 27 (22%) selected limited care, 37 (30%) chose comfort care, and 8 (7%) were uncertain (P<0.001). Intervention participants (compared with control subjects) were more likely to forgo CPR (68% versus 35%; P<0.001) and intubation (77% versus 48%; P<0.001) and had higher mean knowledge scores (4.1 versus 3.0; P<0.001). Patients with heart failure who viewed a video were more informed, more likely to select a focus on comfort, and less likely to desire CPR/intubation compared with patients receiving verbal information only. URL: http://www.clinicaltrials.gov. Unique identifier: NCT01589120. © 2016 American Heart Association, Inc.
Dunn, Michael C; Clare, Isabel C H; Holland, Anthony J
2008-03-01
In the UK, current policies and services for people with mental disorders, including those with intellectual disabilities (ID), presume that these men and women can, do, and should, make decisions for themselves. The new Mental Capacity Act (England and Wales) 2005 (MCA) sets this presumption into statute, and codifies how decisions relating to health and welfare should be made for those adults judged unable to make one or more such decisions autonomously. The MCA uses a procedural checklist to guide this process of substitute decision-making. The personal experiences of providing direct support to seven men and women with ID living in residential care, however, showed that substitute decision-making took two forms, depending on the type of decision to be made. The first process, 'strategic substitute decision-making', paralleled the MCA's legal and ethical framework, whilst the second process, 'relational substitute decision-making', was markedly different from these statutory procedures. In this setting, 'relational substitute decision-making' underpinned everyday personal and social interventions connected with residents' daily living, and was situated within a framework of interpersonal and interdependent care relationships. The implications of these findings for residential services and the implementation of the MCA are discussed.
Impact of Clinical Decision Support on Radiography for Acute Ankle Injuries: A Randomized Trial
Tajmir, Shahein; Raja, Ali S.; Ip, Ivan K.; Andruchow, James; Silveira, Patricia; Smith, Stacy; Khorasani, Ramin
2017-01-01
Introduction While only 15–20% of patients with foot and ankle injuries presenting to urgent care centers have clinically significant fractures, most undergo radiography. We examined the impact of electronic point-of-care clinical decision support (CDS) on adherence to the Ottawa Ankle Rules (OAR), as well as use and yield of foot and ankle radiographs in patients with acute ankle injury. Methods We obtained institutional review board approval for this randomized controlled study performed April 18, 2012—December 15, 2013. All ordering providers credentialed at an urgent care affiliated with a quaternary care academic hospital were randomized to either receive or not receive CDS, based on the OAR and integrated into the physician order-entry system, with feedback at the time of imaging order. If the patient met OAR low-risk criteria, providers were advised against imaging and could either cancel the order or ignore the alert. We identified patients with foot and ankle complaints via ICD-9 billing codes and electronic health records and radiology reports reviewed for those who were eligible. Chi-square was used to compare adherence to the OAR (primary outcome), radiography utilization rate and radiography yield of foot and ankle imaging (secondary outcomes) between the intervention and control groups. Results Of 14,642 patients seen at urgent care during the study period, 613 (4.2%, representing 632 visits) presented with acute ankle injury and were eligible for application of the OAR; 374 (59.2%) of these were seen by control-group providers. In the intervention group, CDS adherence was higher for both ankle (239/258=92.6% vs. 231/374=61.8%, p=0.02) and foot radiography (209/258=81.0% vs. 238/374=63.6%; p<0.01). However, ankle radiography use was higher in the intervention group (166/258=64.3% vs. 183/374=48.9%; p<0.01), while foot radiography use (141/258=54.6% vs. 202/374=54.0%; p=0.95) was not. Radiography yield was also higher in the intervention group (26/307=8.5% vs. 18/385=4.7%; p=0.04). Conclusion Clinical decision support, previously demonstrated to improve guideline adherence for high-cost imaging, can also improve guideline adherence for radiography – as demonstrated by increased OAR adherence and increased imaging yield. PMID:28435501