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Sample records for aid clinical decision

  1. Are patient decision aids the best way to improve clinical decision making? Report of the IPDAS Symposium.

    PubMed

    Holmes-Rovner, Margaret; Nelson, Wendy L; Pignone, Michael; Elwyn, Glyn; Rovner, David R; O'Connor, Annette M; Coulter, Angela; Correa-de-Araujo, Rosaly

    2007-01-01

    This article reports on the International Patient Decision Aid Standards Symposium held in 2006 at the annual meeting of the Society for Medical Decision Making in Cambridge, Massachusetts. The symposium featured a debate regarding the proposition that "decision aids are the best way to improve clinical decision making.'' The formal debate addressed the theoretical problem of the appropriate gold standard for an improved decision, efficacy of decision aids, and prospects for implementation. Audience comments and questions focused on both theory and practice: the often unacknowledged roots of decision aids in expected utility theory and the practical problems of limited patient decision aid implementation in health care. The participants' vote on the proposition was approximately half for and half against. PMID:17873257

  2. Clinical decision aids for chest pain in the emergency department: identifying low-risk patients

    PubMed Central

    Alley, William; Mahler, Simon A

    2015-01-01

    Chest pain is one of the most common presenting complaints in the emergency department, though only a small minority of patients are subsequently diagnosed with acute coronary syndrome (ACS). However, missing the diagnosis has potential for significant morbidity and mortality. ACS presentations can be atypical, and their workups are often prolonged and costly. In order to risk-stratify patients and better direct the workup and care given, many decision aids have been developed. While each may have merit in certain clinical settings, the most useful aid in the emergency department is one that finds all cases of ACS while also identifying a substantial subset of patients at low risk who can be discharged without stress testing or coronary angiography. This review describes several of the chest pain decision aids developed and studied through the recent past, starting with the thrombolysis in myocardial infarction (TIMI) risk score and Global Registry of Acute Coronary Events (GRACE) scores, which were developed as prognostic aids for patients already diagnosed with ACS, then subsequently validated in the undifferentiated chest pain population. Asia-Pacific Evaluation of Chest Pain Trial (ASPECT); Accelerated Diagnostic Protocol to Assess Patients With Chest Pain Symptoms Using Contemporary Troponins (ADAPT); North American Chest Pain Rule (NACPR); and History, Electrocardiogram, Age, Risk factors, Troponin (HEART) score have been developed exclusively for use in the undifferentiated chest pain population as well, with improved performance compared to their predecessors. This review describes the relative merits and limitations of these decision aids so that providers can determine which tool fits the needs of their clinical practice setting. PMID:27147894

  3. The evaluation of a rectal cancer decision aid and the factors influencing its implementation in clinical practice

    PubMed Central

    2014-01-01

    Background Colorectal cancer is common in North America. Two surgical options exist for rectal cancer patients: low anterior resection with re-establishment of bowel continuity, and abdominoperineal resection with a permanent stoma. A rectal cancer decision aid was developed using the International Patient Decision Aid Standards to facilitate patients being more actively involved in making this decision with the surgeon. The overall aim of this study is to evaluate this decision aid and explore barriers and facilitators to implementing in clinical practice. Methods First, a pre- and post- study will be guided by the Ottawa Decision Support Framework. Eligible patients from a colorectal cancer center include: 1) adult patients diagnosed with rectal cancer, 2) tumour at a maximum of 10 cm from anal verge, and 3) surgeon screened candidates eligible to consider both low anterior resection and abdominoperineal resection. Patients will be given a paper-version and online link to the decision aid to review at home. Using validated tools, the primary outcomes will be decisional conflict and knowledge of surgical options. Secondary outcomes will be patient’s preference, values associated with options, readiness for decision-making, acceptability of the decision aid, and feasibility of its implementation in clinical practice. Proposed analysis includes paired t-test, Wilcoxon, and descriptive statistics. Second, a survey will be conducted to identify the barriers and facilitators of using the decision aid in clinical practice. Eligible participants include Canadian surgeons working with rectal cancer patients. Surgeons will be given a pre-notification, questionnaire, and three reminders. The survey package will include the patient decision aid and a facilitators and barriers survey previously validated among physicians and nurses. Principal component analysis will be performed to determine common themes, and logistic regression will be used to identify variables

  4. A clinical decision aid for the selection of antithrombotic therapy for the prevention of stroke due to atrial fibrillation

    PubMed Central

    LaHaye, Stephen Andrew; Gibbens, Sabra Lynn; Ball, David Gerald Andrew; Day, Andrew George; Olesen, Jonas Bjerring; Skanes, Allan Cameron

    2012-01-01

    Aims The availability of new antithrombotic agents, each with a unique efficacy and bleeding profile, has introduced a considerable amount of clinical uncertainty with physicians. We have developed a clinical decision aid in order to assist clinicians in determining an optimal antithrombotic regime for the prevention of stroke in patients who are newly diagnosed with non-valvular atrial fibrillation. Methods and results The CHA2DS2-VASc and HAS-BLED scoring systems were used to assess patients’ baseline risks of stroke and major bleeding, respectively. The relative risks of stroke and major bleeding for each antithrombotic agent were then used to identify the agent associated with the lowest net risk. Individual patient factors such as the treatment threshold, bleeding ratio, and cost threshold modified the recommendations in order to generate a final recommendation. By considering both patient factors and clinical research concurrently, this clinical decision aid is able to provide specific advice to clinicians regarding an optimal stroke prevention strategy. The resulting treatment recommendation tables are consistent with the recommendations of the European Society of Cardiology and Canadian Cardiovascular Society Guidelines, which can be incorporated into either a paper-based or electronic format to allow clinicians to have decision support at the point of care. Conclusion The use of a clinical decision aid that considers both patient factors and evidence-based medicine will serve to bridge the knowledge gap and provide practical guidance to clinicians in the prevention of stroke due to atrial fibrillation. PMID:22752615

  5. Peircean Decision Aid

    2008-08-14

    The Peircean decision aid (PDA) is a decision support architecture and embedded functionality that supports a decision maker in very complex environments dealing with massive amounts of disparate data, information and knowledge. The solution generated is a hybrid system solution employing a number of technologies that are based on Peircean reasoning, modal logic, and formal concept analysis. The system convolves data/information with knowledge to create a virtual belief state that is passed to a decisionmore » maker for consideration. The system can capture categorized knowledge or it can inductively learn or acquire new knowledge from suites of observations. Captured knowledge is used to abductively generate hypotheses that are potential explanations to observations or collected data. The zero order modal logic architecture is designed to augment knowledge update and belief revision and can be extended to include disjunctive screening of collected data. While intended to be a library for integration into a decision support architecture it possesses a basic stand-alone GUI for use as an analysis support tool.« less

  6. A Randomized Controlled Trial of a Mobile Clinical Decision Aid to Improve Access to Kidney Transplantation: iChoose Kidney

    PubMed Central

    Patzer, Rachel E.; Basu, Mohua; Mohan, Sumit; Smith, Kayla D.; Wolf, Michael; Ladner, Daniela; Friedewald, John J.; Chiles, Mariana; Russell, Allison; McPherson, Laura; Gander, Jennifer; Pastan, Stephen

    2016-01-01

    Kidney transplantation is the preferred treatment for patients with end-stage renal disease, as it substantially increases a patient's survival and is cost saving compared to a lifetime of dialysis. However, transplantation is not universally chosen by patients with renal failure, and limited knowledge about the survival benefit of transplantation vs. dialysis may play a role. We created a mobile application clinical decision aid called iChoose Kidney to improve access to individualized prognosis information comparing dialysis and transplantation outcomes. We describe the iChoose Kidney study, a randomized controlled trial designed to test the clinical efficacy of a mobile health decision aid among end-stage renal disease patients referred for kidney transplantation at three large, diverse transplant centers across the U.S. Approximately 450 patients will be randomized to receive either: (1) standard of care or “usual” transplantation education, or (2) standard of care plus iChoose Kidney. The primary outcome is change in knowledge about the survival benefit of kidney transplantation vs. dialysis from baseline to immediate follow-up; secondary outcomes include change in treatment preferences, improved decisional conflict, and increased access to kidney transplantation. Analyses are also planned to examine effectiveness across subgroups of race, socioeconomic status, health literacy and health numeracy. Engaging patients in health care choices can increase patient empowerment and improve knowledge and understanding of treatment choices. If the effectiveness of iChoose Kidney has a greater impact on patients with low health literacy, lower socioeconomic status, and minority race, this decision aid could help reduce disparities in access to kidney transplantation.

  7. Automation: Decision Aid or Decision Maker?

    NASA Technical Reports Server (NTRS)

    Skitka, Linda J.

    1998-01-01

    This study clarified that automation bias is something unique to automated decision making contexts, and is not the result of a general tendency toward complacency. By comparing performance on exactly the same events on the same tasks with and without an automated decision aid, we were able to determine that at least the omission error part of automation bias is due to the unique context created by having an automated decision aid, and is not a phenomena that would occur even if people were not in an automated context. However, this study also revealed that having an automated decision aid did lead to modestly improved performance across all non-error events. Participants in the non- automated condition responded with 83.68% accuracy, whereas participants in the automated condition responded with 88.67% accuracy, across all events. Automated decision aids clearly led to better overall performance when they were accurate. People performed almost exactly at the level of reliability as the automation (which across events was 88% reliable). However, also clear, is that the presence of less than 100% accurate automated decision aids creates a context in which new kinds of errors in decision making can occur. Participants in the non-automated condition responded with 97% accuracy on the six "error" events, whereas participants in the automated condition had only a 65% accuracy rate when confronted with those same six events. In short, the presence of an AMA can lead to vigilance decrements that can lead to errors in decision making.

  8. Longitudinal feasibility of MINDSET: a clinic decision aid for epilepsy self-management.

    PubMed

    Begley, Charles; Shegog, Ross; Harding, Angelique; Goldsmith, Corey; Hope, Omotola; Newmark, Michael

    2015-03-01

    The purpose of this paper is to report on the development and feasibility of the longitudinal version of MINDSET, a clinical tool to assist patients and health-care providers in epilepsy self-management. A previous study described the feasibility of using MINDSET to identify and prioritize self-management issues during a clinic visit. This paper describes the development of the longitudinal version of MINDSET and feasibility test over multiple visits with a printed action plan for goal setting and the capacity for monitoring changes in self-management. Feasibility was assessed based on 1) postvisit patient and provider interviews addressing ease of use and usefulness, patient/provider communication, and shared decision-making and 2) the capacity of the tool to monitor epilepsy characteristics and self-management over time. Results indicate MINDSET feasibility for 1) identifying and facilitating discussion of self-management issues during clinic visits, 2) providing a printable list of prioritized issues and tailored self-management goals, and 3) tracking changes in epilepsy characteristics and self-management over time. PMID:25705825

  9. [An expert system of aiding decision making in breast pathology connected to a clinical data base].

    PubMed

    Brunet, M; Durrleman, S; Ferber, J; Ganascia, J G; Hacene, K; Hirt, F; Jouniaux, F; Meeus, L

    1987-01-01

    The René Huguenin Cancer Center holds a medical file for each patient which is intended to store and process medical data. Since 1970, we introduced computerization: a development plan was elaborated and simultaneously a statistical software (Clotilde--GSI/CFRO) was selected. Thus, we now have access to a large database, structured according to medical rationale, and utilizable with methods of artificial intelligence towards three objectives: improved data acquisition, decision making and exploitation. The first application was to breast pathology, which represents one of the Center's primary activities. The structure of the data concerning patients is by all criteria part of the medical knowledge. This information needs to be presented as well as processed with a suitable language. To this end, we chose a language-oriented object, Mering II, usable with Apple and IBM 4 micro-computers. This project has already allowed to work out an operational model. PMID:3620732

  10. Elaboration of gene expression-based clinical decision aids for kidney transplantation: where do we stand?

    PubMed

    Brouard, Sophie; Giral, Magali; Soulillou, Jean-Paul; Ashton-Chess, Joanna

    2011-04-15

    Successful kidney transplant management throughout the graft lifespan depends on adequate diagnosis (i.e., recognition of a particular type of graft rejection or injury) and prognosis (i.e., predicting future events or outcome). The currently used methods (mainly graft histology, immunosuppressive drug level monitoring, measurement of renal function, and DSA) have proven highly useful on a population level by indicating good or bad outcome, but are difficult to translate into meaningful tests for individual patients. There is thus a need for diagnostic and predictive tests that add value by being more informative to each patient, more powerful, addressing more specific questions or providing less invasive interventions. Gene expression profiling using microarrays or quantitative PCR has become a benchmark in research into novel and informative monitoring assays for transplantation. A wealth of gene expression studies are reported in the literature spanning two decades. There is now a need for clinical validation so that such tests can become standardized and approved for widespread integration into the standard of care to improve outcome for kidney transplant recipients. PMID:21283062

  11. Emerging medical informatics with case-based reasoning for aiding clinical decision in multi-agent system.

    PubMed

    Shen, Ying; Colloc, Joël; Jacquet-Andrieu, Armelle; Lei, Kai

    2015-08-01

    This research aims to depict the methodological steps and tools about the combined operation of case-based reasoning (CBR) and multi-agent system (MAS) to expose the ontological application in the field of clinical decision support. The multi-agent architecture works for the consideration of the whole cycle of clinical decision-making adaptable to many medical aspects such as the diagnosis, prognosis, treatment, therapeutic monitoring of gastric cancer. In the multi-agent architecture, the ontological agent type employs the domain knowledge to ease the extraction of similar clinical cases and provide treatment suggestions to patients and physicians. Ontological agent is used for the extension of domain hierarchy and the interpretation of input requests. Case-based reasoning memorizes and restores experience data for solving similar problems, with the help of matching approach and defined interfaces of ontologies. A typical case is developed to illustrate the implementation of the knowledge acquisition and restitution of medical experts. PMID:26133480

  12. The AFFORD Clinical Decision Aid To Identify Emergency Department Patients With Atrial Fibrillation At Low Risk For 30-Day Adverse Events

    PubMed Central

    Barrett, Tyler W.; Storrow, Alan B.; Jenkins, Cathy A.; Abraham, Robert L.; Liu, Dandan; Miller, Karen F.; Moser, Kelly M.; Russ, Stephan; Roden, Dan M.; Harrell, Frank E.; Darbar, Dawood

    2015-01-01

    There is wide variation in the management of emergency department (ED) patients with atrial fibrillation (AF). We aimed to derive and internally validate the first prospective, ED-based clinical decision aid to identify patients with AF at low risk for 30-day adverse events. We performed a prospective cohort study at a university-affiliated, tertiary-care, ED. Patients were enrolled from June 9, 2010 to February 28, 2013 and followed for 30 days. We enrolled a convenience sample of ED patients presenting with symptomatic AF. Candidate predictors were based on ED data available in the first two hours. The decision aid was derived using model approximation (preconditioning) followed by strong bootstrap internal validation. We utilized an ordinal outcome hierarchy defined as the incidence of the most severe adverse event within 30 days of the ED evaluation. Of 497 patients enrolled, stroke and AF-related death occurred in 13 (3%) and 4 (<1%) patients, respectively. The decision aid included the following: age, triage vitals (systolic blood pressure, temperature, respiratory rate, oxygen saturation, supplemental oxygen requirement); medical history (heart failure, home sotalol use, prior percutaneous coronary intervention, electrical cardioversion, cardiac ablation, frequency of AF symptoms); ED data (2 hour heart rate, chest radiograph results, hemoglobin, creatinine, and brain natriuretic peptide). The decision aid’s c-statistic in predicting any 30-day adverse event was 0.7 (95% CI, 0.65, 0.76). In conclusion, among ED patients with AF, AFFORD provides the first evidence based decision aid for identifying patients who are at low risk for 30-day adverse events and candidates for safe discharge. PMID:25633190

  13. Severe Weather Forecast Decision Aid

    NASA Technical Reports Server (NTRS)

    Bauman, William H., III; Wheeler, Mark M.; Short, David A.

    2005-01-01

    This report presents a 15-year climatological study of severe weather events and related severe weather atmospheric parameters. Data sources included local forecast rules, archived sounding data, Cloud-to-Ground Lightning Surveillance System (CGLSS) data, surface and upper air maps, and two severe weather event databases covering east-central Florida. The local forecast rules were used to set threat assessment thresholds for stability parameters that were derived from the sounding data. The severe weather events databases were used to identify days with reported severe weather and the CGLSS data was used to differentiate between lightning and non-lightning days. These data sets provided the foundation for analyzing the stability parameters and synoptic patterns that were used to develop an objective tool to aid in forecasting severe weather events. The period of record for the analysis was May - September, 1989 - 2003. The results indicate that there are certain synoptic patterns more prevalent on days with severe weather and some of the stability parameters are better predictors of severe weather days based on locally tuned threat values. The results also revealed the stability parameters that did not display any skill related to severe weather days. An interactive web-based Severe Weather Decision Aid was developed to assist the duty forecaster by providing a level of objective guidance based on the analysis of the stability parameters, CGLSS data, and synoptic-scale dynamics. The tool will be tested and evaluated during the 2005 warm season.

  14. Improving decision making about clinical trial participation – a randomised controlled trial of a decision aid for women considering participation in the IBIS-II breast cancer prevention trial

    PubMed Central

    Juraskova, I; Butow, P; Bonner, C; Bell, M L; Smith, A B; Seccombe, M; Boyle, F; Reaby, L; Cuzick, J; Forbes, J F

    2014-01-01

    Background: Decision aids may improve informed consent in clinical trial recruitment, but have not been evaluated in this context. This study investigated whether decision aids (DAs) can reduce decisional difficulties among women considering participation in the International Breast Cancer Intervention Study-II (IBIS-II) trial. Methods: The IBIS-II trial investigated breast cancer prevention with anastrazole in two cohorts: women with increased risk (Prevention), and women treated for ductal carcinoma in situ (DCIS). Australia, New Zealand and United Kingdom participants were randomised to receive a DA (DA group) or standard trial consent materials (control group). Questionnaires were completed after deciding about participation in IBIS-II (post decision) and 3 months later (follow-up). Results: Data from 112 Prevention and 34 DCIS participants were analysed post decision (73 DA; 73 control); 95 Prevention and 24 DCIS participants were analysed at follow-up (58 DA; 61 control). There was no effect on the primary outcome of decisional conflict. The DCIS–DA group had higher knowledge post decision, and the Prevention-DA group had lower decisional regret at follow-up. Conclusions: This was the first study to evaluate a DA in the clinical trial setting. The results suggest DAs can potentially increase knowledge and reduce decisional regret about clinical trial participation. PMID:24892447

  15. Decision-tree analysis of clinical data to aid diagnostic reasoning for equine laminitis: a cross-sectional study.

    PubMed

    Wylie, C E; Shaw, D J; Verheyen, K L P; Newton, J R

    2016-04-23

    The objective of this cross-sectional study was to compare the prevalence of selected clinical signs in laminitis cases and non-laminitic but lame controls to evaluate their capability to discriminate laminitis from other causes of lameness. Participating veterinary practitioners completed a checklist of laminitis-associated clinical signs identified by literature review. Cases were defined as horses/ponies with veterinary-diagnosed, clinically apparent laminitis; controls were horses/ponies with any lameness other than laminitis. Associations were tested by logistic regression with adjusted odds ratios (ORs) and 95% confidence intervals, with veterinary practice as an a priori fixed effect. Multivariable analysis using graphical classification tree-based statistical models linked laminitis prevalence with specific combinations of clinical signs. Data were collected for 588 cases and 201 controls. Five clinical signs had a difference in prevalence of greater than +50 per cent: 'reluctance to walk' (OR 4.4), 'short, stilted gait at walk' (OR 9.4), 'difficulty turning' (OR 16.9), 'shifting weight' (OR 17.7) and 'increased digital pulse' (OR 13.2) (all P<0.001). 'Bilateral forelimb lameness' was the best discriminator; 92 per cent of animals with this clinical sign had laminitis (OR 40.5, P<0.001). If, in addition, horses/ponies had an 'increased digital pulse', 99 per cent were identified as laminitis. 'Presence of a flat/convex sole' also significantly enhanced clinical diagnosis discrimination (OR 15.5, P<0.001). This is the first epidemiological laminitis study to use decision-tree analysis, providing the first evidence base for evaluating clinical signs to differentially diagnose laminitis from other causes of lameness. Improved evaluation of the clinical signs displayed by laminitic animals examined by first-opinion practitioners will lead to equine welfare improvements. PMID:26969668

  16. Clinical Criteria for Physician Aid in Dying.

    PubMed

    Orentlicher, David; Pope, Thaddeus Mason; Rich, Ben A

    2016-03-01

    More than 20 years ago, even before voters in Oregon had enacted the first aid in dying (AID) statute in the United States, Timothy Quill and colleagues proposed clinical criteria AID. Their proposal was carefully considered and temperate, but there were little data on the practice of AID at the time. (With AID, a physician writes a prescription for life-ending medication for a terminally ill, mentally capacitated adult.) With the passage of time, a substantial body of data on AID has developed from the states of Oregon and Washington. For more than 17 years, physicians in Oregon have been authorized to provide a prescription for AID. Accordingly, we have updated the clinical criteria of Quill, et al., based on the many years of experience with AID. With more jurisdictions authorizing AID, it is critical that physicians can turn to reliable clinical criteria. As with any medical practice, AID must be provided in a safe and effective manner. Physicians need to know (1) how to respond to a patient's inquiry about AID, (2) how to assess patient decision making capacity, and (3) how to address a range of other issues that may arise. To ensure that physicians have the guidance they need, Compassion & Choices convened the Physician Aid-in-Dying Clinical Criteria Committee, in July 2012, to create clinical criteria for physicians who are willing to provide AID to patients who request it. The committee includes experts in medicine, law, bioethics, hospice, nursing, social work, and pharmacy. Using an iterative consensus process, the Committee drafted the criteria over a one-year period. PMID:26539979

  17. Clinical Criteria for Physician Aid in Dying

    PubMed Central

    Pope, Thaddeus Mason; Rich, Ben A.

    2016-01-01

    Abstract More than 20 years ago, even before voters in Oregon had enacted the first aid in dying (AID) statute in the United States, Timothy Quill and colleagues proposed clinical criteria AID. Their proposal was carefully considered and temperate, but there were little data on the practice of AID at the time. (With AID, a physician writes a prescription for life-ending medication for a terminally ill, mentally capacitated adult.) With the passage of time, a substantial body of data on AID has developed from the states of Oregon and Washington. For more than 17 years, physicians in Oregon have been authorized to provide a prescription for AID. Accordingly, we have updated the clinical criteria of Quill, et al., based on the many years of experience with AID. With more jurisdictions authorizing AID, it is critical that physicians can turn to reliable clinical criteria. As with any medical practice, AID must be provided in a safe and effective manner. Physicians need to know (1) how to respond to a patient's inquiry about AID, (2) how to assess patient decision making capacity, and (3) how to address a range of other issues that may arise. To ensure that physicians have the guidance they need, Compassion & Choices convened the Physician Aid-in-Dying Clinical Criteria Committee, in July 2012, to create clinical criteria for physicians who are willing to provide AID to patients who request it. The committee includes experts in medicine, law, bioethics, hospice, nursing, social work, and pharmacy. Using an iterative consensus process, the Committee drafted the criteria over a one-year period. PMID:26539979

  18. Decision aid for cigarette smokers scheduled for elective surgery

    PubMed Central

    Warner, David O.; LeBlanc, Annie; Kadimpati, Sandeep; Vickers, Kristin S.; Shi, Yu; Montori, Victor M.

    2015-01-01

    Background Decision aids can increase patient involvement in decision-making about health care. The study goal was to develop and test a decision aid for use by clinicians in discussion options for changing smoking behavior before and after elective surgery. Methods In formative work, a decision aid was designed to facilitate patient-clinician discussion regarding three options: continue smoking, attempt a period of temporary abstinence, and attempt to quit smoking for good. A randomized, two-group pilot study was then conducted in smokers evaluated in preparation for elective surgery in a preoperative clinic to test the hypothesis that the decision aid would improve measures of decisional quality compared with usual care. Results The final decision aid consisted of three laminated cards. The front of each card included a colorful graphic describing each choice; the reverse including 2–3 pros and cons for each decision, a simple graphic illustrating the effects of smoking on the body, and a motivational phrase. In the randomized trial of 130 patients, the decision aid significantly (p<0.05) improved measures of decisional quality and patient involvement in decision making (Cohen’s d effect sizes of 0.76 and 1.20 for the Decisional Conflict and OPTION scales, respectively). However, the decision aid did not affect any aspect of perioperative smoking behavior, including the distribution of or adherence to choices. Conclusions Although use of a decision aid to facilitate clinician-patient discussions regarding tobacco use around the time of surgery substantially improved measures of decisional quality, it alone did not change perioperative tobacco use behavior. PMID:25978327

  19. Role of decision aids in orthopaedic surgery

    PubMed Central

    ten Have, Isha A; van den Bekerom, Michel PJ; van Deurzen, Derek FP; Hageman, Michel GJS

    2015-01-01

    Medical treatment of patients inherently entails the risk of undesired complication or side effects. It is essential to inform the patient about the expected outcomes, but also the possible undesired outcomes. The patients preference and values regarding the potential outcomes should be involved in the decision making process. Even though many orthopaedic surgeons are positive towards shared decision-making, it is minimally introduced in the orthopaedic daily practice and decision-making is still mostly physician based. Decision aids are designed to support the physician and patient in the shared- decision-making process. By using decision aids, patients can learn more about their condition and treatment options in advance to the decision-making. This will reduce decisional conflict and improve participation and satisfaction. PMID:26716082

  20. Shared clinical decision making

    PubMed Central

    AlHaqwi, Ali I.; AlDrees, Turki M.; AlRumayyan, Ahmad; AlFarhan, Ali I.; Alotaibi, Sultan S.; AlKhashan, Hesham I.; Badri, Motasim

    2015-01-01

    Objectives: To determine preferences of patients regarding their involvement in the clinical decision making process and the related factors in Saudi Arabia. Methods: This cross-sectional study was conducted in a major family practice center in King Abdulaziz Medical City, Riyadh, Saudi Arabia, between March and May 2012. Multivariate multinomial regression models were fitted to identify factors associated with patients preferences. Results: The study included 236 participants. The most preferred decision-making style was shared decision-making (57%), followed by paternalistic (28%), and informed consumerism (14%). The preference for shared clinical decision making was significantly higher among male patients and those with higher level of education, whereas paternalism was significantly higher among older patients and those with chronic health conditions, and consumerism was significantly higher in younger age groups. In multivariate multinomial regression analysis, compared with the shared group, the consumerism group were more likely to be female [adjusted odds ratio (AOR) =2.87, 95% confidence interval [CI] 1.31-6.27, p=0.008] and non-dyslipidemic (AOR=2.90, 95% CI: 1.03-8.09, p=0.04), and the paternalism group were more likely to be older (AOR=1.03, 95% CI: 1.01-1.05, p=0.04), and female (AOR=2.47, 95% CI: 1.32-4.06, p=0.008). Conclusion: Preferences of patients for involvement in the clinical decision-making varied considerably. In our setting, underlying factors that influence these preferences identified in this study should be considered and tailored individually to achieve optimal treatment outcomes. PMID:26620990

  1. Evaluation of a Computerized Contraceptive Decision Aid for Adolescent Patients.

    ERIC Educational Resources Information Center

    Chewning, Betty; Mosena, Pat; Wilson, Dale; Erdman, Harold; Potthoff, Sandra; Murphy, Anita; Kuhnen, Kathleen Kennedy

    1999-01-01

    Discusses a computer-based contraceptive decision aid used with adolescent female family planning clinic patients (N=949). Results show improved short-term knowledge of and confidence in oral contraceptive (OC) efficacy. Higher OC knowledge after one year and fewer pregnancies were seen in one group. Findings suggest the usefulness of informatics…

  2. HIV/AIDS Clinical Trials Fact Sheet

    MedlinePlus

    HIV Prevention HIV/AIDS Clinical Trials (Last updated 9/15/2015; last reviewed 9/15/2015) Key Points HIV/AIDS clinical trials are ... and effective in people. What is an HIV/AIDS clinical trial? HIV/AIDS clinical trials help researchers ...

  3. Developing a New Computer-Aided Clinical Decision Support System for Prediction of Successful Postcardioversion Patients with Persistent Atrial Fibrillation.

    PubMed

    Sterling, Mark; Huang, David T; Ghoraani, Behnaz

    2015-01-01

    We propose a new algorithm to predict the outcome of direct-current electric (DCE) cardioversion for atrial fibrillation (AF) patients. AF is the most common cardiac arrhythmia and DCE cardioversion is a noninvasive treatment to end AF and return the patient to sinus rhythm (SR). Unfortunately, there is a high risk of AF recurrence in persistent AF patients; hence clinically it is important to predict the DCE outcome in order to avoid the procedure's side effects. This study develops a feature extraction and classification framework to predict AF recurrence patients from the underlying structure of atrial activity (AA). A multiresolution signal decomposition technique, based on matching pursuit (MP), was used to project the AA over a dictionary of wavelets. Seven novel features were derived from the decompositions and were employed in a quadratic discrimination analysis classification to predict the success of post-DCE cardioversion in 40 patients with persistent AF. The proposed algorithm achieved 100% sensitivity and 95% specificity, indicating that the proposed computational approach captures detailed structural information about the underlying AA and could provide reliable information for effective management of AF. PMID:26120354

  4. Developing a New Computer-Aided Clinical Decision Support System for Prediction of Successful Postcardioversion Patients with Persistent Atrial Fibrillation

    PubMed Central

    Sterling, Mark; Huang, David T.; Ghoraani, Behnaz

    2015-01-01

    We propose a new algorithm to predict the outcome of direct-current electric (DCE) cardioversion for atrial fibrillation (AF) patients. AF is the most common cardiac arrhythmia and DCE cardioversion is a noninvasive treatment to end AF and return the patient to sinus rhythm (SR). Unfortunately, there is a high risk of AF recurrence in persistent AF patients; hence clinically it is important to predict the DCE outcome in order to avoid the procedure's side effects. This study develops a feature extraction and classification framework to predict AF recurrence patients from the underlying structure of atrial activity (AA). A multiresolution signal decomposition technique, based on matching pursuit (MP), was used to project the AA over a dictionary of wavelets. Seven novel features were derived from the decompositions and were employed in a quadratic discrimination analysis classification to predict the success of post-DCE cardioversion in 40 patients with persistent AF. The proposed algorithm achieved 100% sensitivity and 95% specificity, indicating that the proposed computational approach captures detailed structural information about the underlying AA and could provide reliable information for effective management of AF. PMID:26120354

  5. Collaborative prototyping approaches for ICU decision aid design.

    PubMed

    Ehrhart, L S; Hanson, C W; Marshall, B E; Marshall, C; Medsker, C

    1999-01-01

    When computer-based aids do not support the human users' decision-making strategies or anticipate the organizational impacts of technological change, advances in information technology may degrade rather than enhance decision-making performance. Such failures suggest the design of human-computer cooperation for problem solving and decision-making must be driven by human cognitive and organizational process requirements rather than computer technology. Decision- and user-centered development techniques involve domain experts and end-users in the earliest phases of design to evolve an understanding of requirements through iterative prototyping. This paper presents a collaborative approach to cognitive systems engineering applied to developing a clinical aid to assist respiratory care in the surgical ICU. PMID:10566460

  6. Accuracy of a Decision Aid for Advance Care Planning: Simulated End-of-Life Decision Making

    PubMed Central

    Levi, Benjamin H.; Heverley, Steven R.; Green, Michael J.

    2013-01-01

    Purpose Advance directives have been criticized for failing to help physicians make decisions consistent with patients’ wishes. This pilot study sought to determine if an interactive, computer-based decision aid that generates an advance directive can help physicians accurately translate patients’ wishes into treatment decisions. Methods We recruited 19 patient-participants who had each previously created an advance directive using a computer-based decision aid, and 14 physicians who had no prior knowledge of the patient-participants. For each advance directive, three physicians were randomly assigned to review the advance directive and make five to six treatment decisions for each of six (potentially) end-of-life clinical scenarios. From the three individual physicians’ responses, a “consensus physician response” was generated for each treatment decision (total decisions = 32). This consensus response was shared with the patient whose advance directive had been reviewed, and she/he was then asked to indicate how well the physician translated his/her wishes into clinical decisions. Results Patient-participants agreed with the consensus physician responses 84 percent (508/608) of the time, including 82 percent agreement on whether to provide mechanical ventilation, and 75 percent on decisions about cardiopulmonary resuscitation (CPR). Across the six vignettes, patient-participants’ rating of how well physicians translated their advance directive into medical decisions was 8.4 (range = 6.5–10, where 1 = extremely poorly, and 10 = extremely well). Physicians’ overall rating of their confidence at accurately translating patients’ wishes into clinical decisions was 7.8 (range = 6.1–9.3, 1 = not at all confident, 10 = extremely confident). Conclusion For simulated cases, a computer-based decision aid for advance care planning can help physicians more confidently make end-of-life decisions that patients will endorse. PMID:22167985

  7. Can Gait Signatures Provide Quantitative Measures for Aiding Clinical Decision-Making? A Systematic Meta-Analysis of Gait Variability Behavior in Patients with Parkinson's Disease

    PubMed Central

    König, Niklas; Singh, Navrag B.; Baumann, Christian R.; Taylor, William R.

    2016-01-01

    A disturbed, inconsistent walking pattern is a common feature of patients with Parkinson's disease (PwPD). Such extreme variability in both temporal and spatial parameters of gait has been associated with unstable walking and an elevated prevalence of falls. However, despite their ability to discretise healthy from pathological function, normative variability values for key gait parameters are still missing. Furthermore, an understanding of each parameter's response to pathology, as well as the inter-parameter relationships, has received little attention. The aim of this systematic literature review and meta-analysis was therefore to define threshold levels for pathological gait variability as well as to investigate whether all gait parameters are equally perturbed in PwPD. Based on a broader systematic literature search that included 13′195 titles, 34 studies addressed Parkinson's disease, presenting 800 PwPD and 854 healthy subjects. Eight gait parameters were compared, of which six showed increased levels of variability during walking in PwPD. The most commonly reported parameter, coefficient of variation of stride time, revealed an upper threshold of 2.4% to discriminate the two groups. Variability of step width, however, was consistently lower in PwPD compared to healthy subjects, and therefore suggests an explicit sensory motor system control mechanism to prioritize balance during walking. The results provide a clear functional threshold for monitoring treatment efficacy in patients with Parkinson's disease. More importantly, however, quantification of specific functional deficits could well provide a basis for locating the source and extent of the neurological damage, and therefore aid clinical decision-making for individualizing therapies. PMID:27445759

  8. How clinical decisions are made

    PubMed Central

    Bate, Louise; Hutchinson, Andrew; Underhill, Jonathan; Maskrey, Neal

    2012-01-01

    There is much variation in the implementation of the best available evidence into clinical practice. These gaps between evidence and practice are often a result of multiple individual decisions. When making a decision, there is so much potentially relevant information available, it is impossible to know or process it all (so called ‘bounded rationality’). Usually, a limited amount of information is selected to reach a sufficiently satisfactory decision, a process known as satisficing. There are two key processes used in decision making: System 1 and System 2. System 1 involves fast, intuitive decisions; System 2 is a deliberate analytical approach, used to locate information which is not instantly recalled. Human beings unconsciously use System 1 processing whenever possible because it is quicker and requires less effort than System 2. In clinical practice, gaps between evidence and practice can occur when a clinician develops a pattern of knowledge, which is then relied on for decisions using System 1 processing, without the activation of a System 2 check against the best available evidence from high quality research. The processing of information and decision making may be influenced by a number of cognitive biases, of which the decision maker may be unaware. Interventions to encourage appropriate use of System 1 and System 2 processing have been shown to improve clinical decision making. Increased understanding of decision making processes and common sources of error should help clinical decision makers to minimize avoidable mistakes and increase the proportion of decisions that are better. PMID:22738381

  9. A decision aid for diagnosis of liver lesions on MRI.

    PubMed Central

    Tombropoulos, R.; Shiffman, S.; Davidson, C.

    1993-01-01

    Abdominal magnetic resonance imaging (MRI) plays an important role in the evaluation of liver abnormalities. The interpretation of MR images requires expert training in a rapidly changing field. DAFODILL (Decision Aid for Diagnosing Liver Lesions) is a decision-support tool designed to aid radiologists in the diagnosis of hepatic lesions seen on MRI. DAFODILL uses a knowledge base of MRI findings and a belief-network inference engine to generate probabilistic differential diagnoses of the most commonly encountered hepatic lesions. DAFODILL performs limited image processing to identify clinically relevant features, which are presented to the user for confirmation before they are used by the network. Preliminary evaluation of an initial version of the system suggests that DAFODILL may be a useful tool for radiology residents and nonexpert radiologists in interpreting MR images of the liver. PMID:8130512

  10. Shared Decision Making and Patient Decision Aids: Knowledge, Attitudes, and Practices Among Hawai‘i Physicians

    PubMed Central

    Friend, John; Chun, Maria BJ

    2013-01-01

    Background: As the health care field moves toward patient-centered care (PCC), increasing emphasis has been placed on the benefits of patient decision aids for promoting shared decision making (SDM). This study provides a baseline measure of knowledge, attitudes, and practices (KAP) among Hawai‘i's physicians with respect to patient decision aids (DAs). Physicians throughout the State of Hawai‘i were invited to complete a survey assessing their knowledge, attitudes, and practices with respect to the clinical use of DAs. One hundred and seventy four valid surveys were analyzed. Reported awareness and use of DAs were low, but recognition of the benefits of SDM and openness to the use of DAs were very high. The leading perceived barriers to the implementation of DAs were lack of awareness, lack of resources, and limited physician time to learn about DA technology. However, a significant majority of the respondents reported that DAs could empower patients by improving knowledge (88%), increasing satisfaction with the consultation process (81%), and increasing compliance (74%). Among physicians currently employing DAs, use of brochures or options matrix sheets was the most common aid tool. However, leading recommended DA formats were paper-based brochures for clinic use (75%) and interactive online website programs for outside clinic use (73.5%). Given growing emphasis on the PCC model and the recognized desire of many patients to participate in the medical decision making process, positive responses toward SDM and the use of DAs by Hawai‘i physicians are promising. PMID:24251086

  11. Shared Decision Aids: Increasing Patient Acceptance of Long-Acting Reversible Contraception

    PubMed Central

    George, Tracy P.; DeCristofaro, Claire; Dumas, Bonnie P.; Murphy, Pamela F.

    2015-01-01

    Unintended pregnancies are an important public health issue. Long-acting reversible contraceptive methods (LARCs) are reliable, safe, highly effective methods for most women; however they are underutilized in the United States. Shared decision aids were added to usual care in five public health family planning clinics in the Southeastern United States, staffed by advance practice nurses and registered nurses. All five sites showed an increase in the use of LARCs during the time period that shared decision aids were used (results statistically significant to p < 0.001). It is important for women to make informed choices about contraception, and shared decision aids can be utilized to support this decision making. This resource has been adopted for statewide use in all public health clinics, and implications for practice suggest that the use of shared decision aids is an effective method to support informed patient decision making and acceptance of LARC methods of contraception. PMID:27417757

  12. Decision Aid to Technologically Enhance Shared decision making (DATES): study protocol for a randomized controlled trial

    PubMed Central

    2013-01-01

    patient and the clinician, and concordance between the patient’s and clinician’s preferred colorectal cancer screening test. The results of this study will be among the first to examine the effect of a real-time preference assessment exercise on colorectal cancer screening and mediators, and, in doing so, will shed light on the patient-clinician communication and shared decision making ‘black box’ that currently exists between the delivery of decision aids to patients and subsequent patient behavior. Trial Registration ClinicalTrials.gov ID NCT01514786 PMID:24216139

  13. Adaptive Peircean decision aid project summary assessments.

    SciTech Connect

    Senglaub, Michael E.

    2007-01-01

    This efforts objective was to identify and hybridize a suite of technologies enabling the development of predictive decision aids for use principally in combat environments but also in any complex information terrain. The technologies required included formal concept analysis for knowledge representation and information operations, Peircean reasoning to support hypothesis generation, Mill's's canons to begin defining information operators that support the first two technologies and co-evolutionary game theory to provide the environment/domain to assess predictions from the reasoning engines. The intended application domain is the IED problem because of its inherent evolutionary nature. While a fully functioning integrated algorithm was not achieved the hybridization and demonstration of the technologies was accomplished and demonstration of utility provided for a number of ancillary queries.

  14. Helping pregnant women make better decisions: a systematic review of the benefits of patient decision aids in obstetrics.

    PubMed

    Say, Rebecca; Robson, Stephen; Thomson, Richard

    2011-01-01

    Objectives Patient decision aids can be used to support pregnant women engaging in shared decisions, but little is known about their effects in obstetrics. The authors aimed to evaluate the effects of patient decision aids designed for pregnant women on clinical and psychosocial outcomes. Design Systematic review. Data on all outcomes were extracted and summarised. All studies were critically appraised for potential sources of bias and, when possible to obtain, the reported decision aids were evaluated. Meta-analysis was not possible due to the heterogeneity of outcomes in primary studies and the small number of studies. Data sources Electronic searches were performed using Medline, Embase, the Cochrane Library and Medion databases from inception until December 2010. Reference lists of all included articles were also examined and key experts contacted. Eligibility criteria for selecting studies Eligibility criteria included randomised controlled trials, which reported on patient decision aids for women facing any treatment decision in pregnancy published in English. Studies evaluating health education material that did not address women's values and preferences were excluded. Results Patient decision aids have been developed for decisions about prenatal testing, vaginal birth after Caesarean section, external cephalic version and labour analgesia. Use of decision aids is associated with a number of positive effects including reduced anxiety, lower decisional conflict, improved knowledge, improved satisfaction and increased perception of having made an informed choice. Conclusions Patient decision aids have the potential to improve obstetric care. However, currently the evidence base is limited by the small number of studies, the quality of the studies and because they involved heterogeneous decision aids, patient groups and outcomes. PMID:22189349

  15. Addressing health literacy in patient decision aids

    PubMed Central

    2013-01-01

    Background Effective use of a patient decision aid (PtDA) can be affected by the user’s health literacy and the PtDA’s characteristics. Systematic reviews of the relevant literature can guide PtDA developers to attend to the health literacy needs of patients. The reviews reported here aimed to assess: 1. a) the effects of health literacy / numeracy on selected decision-making outcomes, and b) the effects of interventions designed to mitigate the influence of lower health literacy on decision-making outcomes, and 2. the extent to which existing PtDAs a) account for health literacy, and b) are tested in lower health literacy populations. Methods We reviewed literature for evidence relevant to these two aims. When high-quality systematic reviews existed, we summarized their evidence. When reviews were unavailable, we conducted our own systematic reviews. Results Aim 1: In an existing systematic review of PtDA trials, lower health literacy was associated with lower patient health knowledge (14 of 16 eligible studies). Fourteen studies reported practical design strategies to improve knowledge for lower health literacy patients. In our own systematic review, no studies reported on values clarity per se, but in 2 lower health literacy was related to higher decisional uncertainty and regret. Lower health literacy was associated with less desire for involvement in 3 studies, less question-asking in 2, and less patient-centered communication in 4 studies; its effects on other measures of patient involvement were mixed. Only one study assessed the effects of a health literacy intervention on outcomes; it showed that using video to improve the salience of health states reduced decisional uncertainty. Aim 2: In our review of 97 trials, only 3 PtDAs overtly addressed the needs of lower health literacy users. In 90% of trials, user health literacy and readability of the PtDA were not reported. However, increases in knowledge and informed choice were reported in those studies

  16. What is lacking in current decision aids on cancer screening?

    PubMed Central

    Jimbo, Masahito; Rana, Gurpreet K.; Hawley, Sarah; Holmes-Rovner, Margaret; Kelly-Blake, Karen; Nease, Donald E.; Ruffin, Mack T.

    2013-01-01

    Recent guidelines on cancer screening have given not only more screening options but also conflicting recommendations. Thus, patients, with their clinicians’ support, must decide whether to get screened or not, which modality to use, and how often to get screened. Decision aids could potentially lead to better shared decision making regarding screening between the patient and the clinician. We reviewed 73 decision aids on screening for breast, cervical, colorectal, and prostate cancers. The goal of this review was to assess the effectiveness of such decision aids, examine areas in need for more research, and determine how the decision aids can be currently applied in the real world setting. Most studies used sound study design. Significant variation existed in setting, theoretical framework, and measured outcomes. Just over a third of the decision aids included an explicit values clarification. Other than knowledge, little consistency was noted in which patient attributes were measured as outcomes. Few studies actually measured shared decision making. Little information was available on the feasibility and outcomes of integrating decision aids into practice. We discuss the implications for future research, as well as what the clinicians can do now to incorporate decision aids into their practice. PMID:23504675

  17. Domain specific software design for decision aiding

    NASA Technical Reports Server (NTRS)

    Keller, Kirby; Stanley, Kevin

    1992-01-01

    McDonnell Aircraft Company (MCAIR) is involved in many large multi-discipline design and development efforts of tactical aircraft. These involve a number of design disciplines that must be coordinated to produce an integrated design and a successful product. Our interpretation of a domain specific software design (DSSD) is that of a representation or framework that is specialized to support a limited problem domain. A DSSD is an abstract software design that is shaped by the problem characteristics. This parallels the theme of object-oriented analysis and design of letting the problem model directly drive the design. The DSSD concept extends the notion of software reusability to include representations or frameworks. It supports the entire software life cycle and specifically leads to improved prototyping capability, supports system integration, and promotes reuse of software designs and supporting frameworks. The example presented in this paper is the task network architecture or design which was developed for the MCAIR Pilot's Associate program. The task network concept supported both module development and system integration within the domain of operator decision aiding. It is presented as an instance where a software design exhibited many of the attributes associated with DSSD concept.

  18. Application of decision aid technology to command and control

    SciTech Connect

    Wanner, E.; Steigerwald, R.; Clark, D.

    1984-03-01

    The development of decision aids for command and control (C/sup 2/), including a look at the C/sup 2/ environment and objectives are reviewed. Developing computer based decision aids can involve the use of techniques ranging from simple automation of manual tasks to the use of artificial intelligence for complex automation of an expert's heuristic reasoning ability. Database management techniques, operations research and decision analysis are also useful. 7 references.

  19. The perspectives of iranian physicians and patients towards patient decision aids: a qualitative study

    PubMed Central

    2013-01-01

    Background Patient preference is one of the main components of clinical decision making, therefore leading to the development of patient decision aids. The goal of this study was to describe physicians’ and patients’ viewpoints on the barriers and limitations of using patient decision aids in Iran, their proposed solutions, and, the benefits of using these tools. Methods This qualitative study was conducted in 2011 in Iran by holding in-depth interviews with 14 physicians and 8 arthritis patient. Interviewees were selected through purposeful and maximum variation sampling. As an example, a patient decision aid on the treatment of knee arthritis was developed upon literature reviews and gathering expert opinion, and was presented at the time of interview. Thematic analysis was conducted to analyze the data by using the OpenCode software. Results The results were summarized into three categories and ten codes. The extracted categories were the perceived benefits of using the tools, as well as the patient-related and physician-related barriers in using decision aids. The following barriers in using patient decision aids were identified in this study: lack of patients and physicians’ trainings in shared decision making, lack of specialist per capita, low treatment tariffs and lack of an exact evaluation system for patient participation in decision making. Conclusions No doubt these barriers demand the health authorities’ special attention. Hence, despite patients and physicians’ inclination toward using patient decision aids, these problems have hindered the practical usage of these tools in Iran - as a developing country. PMID:24066792

  20. Development and pilot testing of a decision aid for drivers with dementia

    PubMed Central

    2014-01-01

    Background An increasing number of older adults drive automobiles. Given that the prevalence of dementia is rising, it is necessary to address the issue of driving retirement. The purpose of this study is to evaluate how a self-administered decision aid contributed to decision making about driving retirement by individuals living with dementia. The primary outcome measure in this study was decisional conflict. Knowledge, decision, satisfaction with decision, booklet use and booklet acceptability were the secondary outcome measures. Methods A mixed methods approach was adopted. Drivers with dementia were recruited from an Aged Care clinic and a Primary Care center in NSW, Australia. Telephone surveys were conducted before and after participants read the decision aid. Results Twelve participants were recruited (mean age 75, SD 6.7). The primary outcome measure, decisional conflict, improved following use of the decision aid. Most participants felt that the decision aid: (i) was balanced; (ii) presented information well; and (iii) helped them decide about driving. In addition, mean knowledge scores improved after booklet use. Conclusions This decision aid shows promise as an acceptable, useful and low-cost tool for drivers with dementia. A self-administered decision aid can be used to assist individuals with dementia decide about driving retirement. A randomized controlled trial is underway to evaluate the effectiveness of the tool. PMID:24642051

  1. Assessment of Readiness for Clinical Decision Support to Aid Laboratory Monitoring of Immunosuppressive Care at U.S. Liver Transplant Centers

    PubMed Central

    Weir, C.; Evans, R. S.; Staes, C.

    2014-01-01

    Summary Background Following liver transplantation, patients require lifelong immunosuppressive care and monitoring. Computerized clinical decision support (CDS) has been shown to improve post-transplant immunosuppressive care processes and outcomes. The readiness of transplant information systems to implement computerized CDS to support post-transplant care is unknown. Objectives a) Describe the current clinical information system functionality and manual and automated processes for laboratory monitoring of immunosuppressive care, b) describe the use of guidelines that may be used to produce computable logic and the use of computerized alerts to support guideline adherence, and c) explore barriers to implementation of CDS in U.S. liver transplant centers. Methods We developed a web-based survey using cognitive interviewing techniques. We surveyed 119 U.S. transplant programs that performed at least five liver transplantations per year during 2010–2012. Responses were summarized using descriptive analyses; barriers were identified using qualitative methods. Results Respondents from 80 programs (67% response rate) completed the survey. While 98% of programs reported having an electronic health record (EHR), all programs used paper-based manual processes to receive or track immunosuppressive laboratory results. Most programs (85%) reported that 30% or more of their patients used external laboratories for routine testing. Few programs (19%) received most external laboratory results as discrete data via electronic interfaces while most (80%) manually entered laboratory results into the EHR; less than half (42%) could integrate internal and external laboratory results. Nearly all programs had guidelines regarding pre-specified target ranges (92%) or testing schedules (97%) for managing immunosuppressive care. Few programs used computerized alerting to notify transplant coordinators of out-of-range (27%) or overdue laboratory results (20%). Conclusions Use of EHRs is

  2. Video May Aid End-of-Life Decision-Making

    MedlinePlus

    ... fullstory_159659.html Video May Aid End-of-Life Decision-Making Brief film helped heart failure patients ... HealthDay News) -- Watching a video about end-of-life care options may help patients with advanced heart ...

  3. Spanish Aid in Clinical Dietetics.

    ERIC Educational Resources Information Center

    Bringas, Juliet G.; Chan, Teresa Y.

    Designed to aid dietitians, nutritionists, and other health professionals to better serve the nutritional needs of Hispanics, this bilingual booklet describes the different cultural eating habits of Mexican, Cuban, and Puerto Rican Americans, with in-depth description of Mexican Americans. Written in Spanish and English, the booklet includes…

  4. AIDS Clinical Trials Group Network

    MedlinePlus

    ... Center Statistical and Data Management Center Glossaries Sites Clinical Trials About the Trial Process Trials Open to Enrollment Recent Study Results Access to Published Data Clinical Trials Resources Committees Executive Scientific Resource Community General Information ...

  5. Map-based decision aids for fire support

    NASA Astrophysics Data System (ADS)

    Yarosh, Victor

    1996-06-01

    The Fire Control Division at ARDEC is developing prototype decision aid tools to enable fire support echelons to rapidly respond to requests for fire support. Decision aids on fire support platforms can assist in route planning, site selection, and develop mobility overlays to enable the shooter to rapidly move into position and prepare for the fire mission. The Decision Aid system utilizes an integrated design approach which has each module interacting with the others by sharing data bases and common algorithms to provide recommended courses of action for route planning and generation, position selection, self defense, logistics estimates, situational awareness and fire mission planning aids such as tactical assessment, tactical planning, sustainment, etc. The Decision Aid system will use expert system artificial intelligence which will be developed from knowledge bases utilizing object oriented design. The modules currently reason on Defense Mapping Agency Interim Terrain Data and Digital Terrain Elevation Data and collect mission, intelligence, and sensor data from the digitized battlefield information distribution system to provide the crew or mission planners with intelligent recommendations. The system can provide a trade off analysis of time vs. safety, enable commanders to rapidly respond to fire support request, automatically generate OpOrders, and create overlays which depict mobility corridors, NBC areas, friendly units, overhead concealment, communications, and threat areas. The Decision Aids system can provide a vastly improved mobility, situational awareness, and decision cycle capabilities which can be utilized to increase the tempo of battle.

  6. Supporting Parental Decisions About Genomic Sequencing for Newborn Screening: The NC NEXUS Decision Aid.

    PubMed

    Lewis, Megan A; Paquin, Ryan S; Roche, Myra I; Furberg, Robert D; Rini, Christine; Berg, Jonathan S; Powell, Cynthia M; Bailey, Donald B

    2016-01-01

    Advances in genomic sequencing technology have raised fundamental challenges to the traditional ways genomic information is communicated. These challenges will become increasingly complex and will affect a much larger population in the future if genomics is incorporated into standard newborn screening practice. Clinicians, public health officials, and other stakeholders will need to agree on the types of information that they should seek and communicate to parents. Currently, few evidence-based and validated tools are available to support parental informed decision-making. These tools will be necessary as genomics is integrated into clinical practice and public health systems. In this article we describe how the North Carolina Newborn Exome Sequencing for Universal Screening study is addressing the need to support parents in making informed decisions about the use of genomic testing in newborn screening. We outline the context for newborn screening and justify the need for parental decision support. We also describe the process of decision aid development and the data sources, processes, and best practices being used in development. By the end of the study, we will have an evidenced-based process and validated tools to support parental informed decision-making about the use of genomic sequencing in newborn screening. Data from the study will help answer important questions about which genomic information ought to be sought and communicated when testing newborns. PMID:26729698

  7. Supporting Parental Decisions About Genomic Sequencing for Newborn Screening: The NC NEXUS Decision Aid

    PubMed Central

    Lewis, Megan A.; Paquin, Ryan S.; Roche, Myra I.; Furberg, Robert D.; Rini, Christine; Berg, Jonathan S.; Powell, Cynthia M.; Bailey, Donald B.

    2016-01-01

    Advances in genomic sequencing technology have raised fundamental challenges to the traditional ways genomic information is communicated. These challenges will become increasingly complex and will affect a much larger population in the future if genomics is incorporated into standard newborn screening practice. Clinicians, public health officials, and other stakeholders will need to agree on the types of information that they should seek and communicate to parents. Currently, few evidence-based and validated tools are available to support parental informed decision-making. These tools will be necessary as genomics is integrated into clinical practice and public health systems. In this article we describe how the North Carolina Newborn Exome Sequencing for Universal Screening study is addressing the need to support parents in making informed decisions about the use of genomic testing in newborn screening. We outline the context for newborn screening and justify the need for parental decision support. We also describe the process of decision aid development and the data sources, processes, and best practices being used in development. By the end of the study, we will have an evidenced-based process and validated tools to support parental informed decision-making about the use of genomic sequencing in newborn screening. Data from the study will help answer important questions about which genomic information ought to be sought and communicated when testing newborns. PMID:26729698

  8. Practical Aspects of a Visual Aid to Decision Making

    ERIC Educational Resources Information Center

    Fisher, Z.; Bailey, R.; Willner, P.

    2012-01-01

    Background: Previous research has demonstrated that people with mild intellectual disabilities (ID) have difficulty in "weighing up" information, defined as integrating disparate items of information in order to reach a decision. However, this problem could be overcome by the use of a visual aid to decision making. In an earlier study,…

  9. onlineDeCISion.org: a web-based decision aid for DCIS treatment.

    PubMed

    Ozanne, Elissa M; Schneider, Katharine H; Soeteman, Djøra; Stout, Natasha; Schrag, Deborah; Fordis, Michael; Punglia, Rinaa S

    2015-11-01

    Women diagnosed with DCIS face complex treatment decisions and often do so with inaccurate and incomplete understanding of the risks and benefits involved. Our objective was to create a tool to guide these decisions for both providers and patients. We developed a web-based decision aid designed to provide clinicians with tailored information about a patient’s recurrence risks and survival outcomes following different treatment strategies for DCIS. A theoretical framework, microsimulation model (Soeteman et al., J Natl Cancer 105:774–781, 2013) and best practices for web-based decision tools guided the development of the decision aid. The development process used semi-structured interviews and usability testing with key stakeholders, including a diverse group of multidisciplinary clinicians and a patient advocate. We developed onlineDeCISion.​org to include the following features that were rated as important by the stakeholders: (1) descriptions of each of the standard treatment options available; (2) visual projections of the likelihood of time-specific (10-year and lifetime) breast-preservation, recurrence, and survival outcomes; and (3) side-by-side comparisons of down-stream effects of each treatment choice. All clinicians reviewing the decision aid in usability testing were interested in using it in their clinical practice. The decision aid is available in a web-based format and is planned to be publicly available. To improve treatment decision making in patients with DCIS, we have developed a web-based decision aid onlineDeCISion.​org that conforms to best practices and that clinicians are interested in using in their clinics with patients to better inform treatment decisions. PMID:26475704

  10. Comparison of display enhancement with intelligent decision-aiding

    NASA Technical Reports Server (NTRS)

    Kirlik, Alex; Markert, Wendy J.; Kossack, Merrick

    1992-01-01

    Currently, two main approaches exist for improving the human-machine interface component of a system in order to improve overall system performance, display enhancement and intelligent decision aiding. Each of these two approaches has its own set of advantages and disadvantages, as well as introduce its own set of additional performance problems. These characteristics should help identify which types of problem situations and domains are better aided by which type of strategy. The characteristic issues are described of these two decision aiding strategies. Then differences in expert and novice decision making are described in order to help determine whether a particular strategy may be better for a particular type of user. Finally, research is outlined to compare and contrast the two technologies, as well as to examine the interaction effects introduced by the different skill levels and the different methods for training operators.

  11. Collaborative Platforms Aid Emergency Decision Making

    NASA Technical Reports Server (NTRS)

    2013-01-01

    Terra. Aqua. Cloudsat. Landsat. NASA runs and partners in many missions dedicated to monitoring the Earth, and the tools used in these missions continuously return data on everything from shifts in temperature to cloud formation to pollution levels over highways. The data are of great scientific value, but they also provide information that can play a critical role in decision making during times of crisis. Real-time developments in weather, wind, ocean currents, and numerous other conditions can have a significant impact on the way disasters, both natural and human-caused, unfold. "NASA has long recognized the need to make its data from real-time sources compatible and accessible for the purposes of decision making," says Michael Goodman, who was Disasters Program manager at NASA Headquarters from 2009-2012. "There are practical applications of NASA Earth science data, and we d like to accelerate the use of those applications." One of the main obstacles standing in the way of eminently practical data is the fact that the data from different missions are collected, formatted, and stored in different ways. Combining data sets in a way that makes them useful for decision makers has proven to be a difficult task. And while the need for a collaborative platform is widely recognized, very few have successfully made it work. Dave Jones, founder and CEO of StormCenter Communications Inc., which consults with decision makers to prepare for emergencies, says that "when I talk to public authorities, they say, If I had a nickel for every time someone told me they had a common operating platform, I d be rich. But one thing we ve seen over the years is that no one has been able to give end users the ability to ingest NASA data sets and merge them with their own."

  12. Operational hydrological projections to aid decision making

    NASA Astrophysics Data System (ADS)

    Schnetler, Thomas; Davis, Richard; Waddingham, John; James, Karen

    2014-05-01

    The Environment Agency of England has wide ranging responsibility for environmental regulation that includes both water resources management and flood management. In order to best fulfil its role decisions need to be taken using the best available evidence in the time available. The manipulation of large amounts of hydrological data in a way that best meets the needs of decision makers is a complex challenge. Not only should any analysis be technically robust but it should also be presented in a way that communicates key messages clearly and quickly. The Environment Agency and its predecessor organisations has a long history of working with hydrological data but in recent years there has been a need to better incorporate risk and uncertainty into hydrological analysis so that subsequent decisions can take this into account. In the face of recent extreme weather events, there has been an increasing demand for forward look projections from water resource and flood risk practitioners, decision makers and contingency planners. These assessments are required to give appropriate lead in time to allow risk mitigation measures to be implemented to minimise impact upon people, the environment and infrastructure. This presentation will outline the methodologies developed by the Environment Agency to produce and publish monthly routine forward look projections using both a scenario and climate ensemble approach. It will cover how information is disseminated, providing a good example of communicating science to decision makers and to the public. Examples of practical applications of these methodologies include: • Risk based planning and forecasting of water availability for inter basin water transfers into water stressed catchments. • Assessment of water resources prospects during droughts for people and the environment • The likelihood and medium term risk of high groundwater levels impacting upon people and infrastructure. There are also a number of future challenges

  13. Economic aspects of clinical decision making: applications of clinical decision analysis.

    PubMed

    Crane, V S

    1988-03-01

    Clinical decision analysis as a basic tool for decision making is described, and potential applications of decision analysis in six areas of clinical practice are identified. Clinical decision analysis is a systematic method of describing clinical problems in a quantitative fashion, identifying possible courses of action, assessing the probability and value of outcomes, and then making a calculation to select the ultimate course of action. Clinical decision analysis provides a structure for clinical decision problems, helps clarify medical controversies, and encourages decision makers to speak a common language. Applications of clinical decision analysis in the areas of diagnostic testing, patient management, product and program selection, research and education, patient preferences, and health-care-policy evaluation are described. Decision analysis offers health professionals a tool for making quantifiable, cost-effective clinical decisions, especially in terms of clinical outcomes. PMID:3285672

  14. Development and Testing of a Decision Aid on Goals of Care for Advanced Dementia

    PubMed Central

    Einterz, Seth F.; Gilliam, Robin; Lin, Feng Chang; McBride, J. Marvin; Hanson, Laura C.

    2014-01-01

    Objectives 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) test its effect on quality of communication and decision-making. Design 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. Setting Two NHs in North Carolina. Participants 18 residents who were over 65 years of age, had moderate to severe dementia on the Global Deterioration Scale (GDS=5,6,7), and an English-speaking surrogate decision-maker. Intervention 1) GOC Decision Aid video viewed by the SDM, and 2) a structured care plan meeting between the SDM and interdisciplinary NH team Measurements 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. Results 89% 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 nursing home 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). Conclusion The decision-support intervention piloted in this study was feasible and relevant for surrogate decision-makers of persons with advanced dementia in nursing homes, 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

  15. Endemic mycoses in AIDS: a clinical review.

    PubMed Central

    Wheat, J

    1995-01-01

    Histoplasmosis and coccidioidomycosis are serious opportunistic infections in patients with AIDS who reside in areas of endemicity of the United States and Central and South America. Blastomycosis, although less common, also must be recognized as an opportunistic infection in patients with AIDS. Prompt diagnosis requires knowledge of the clinical syndromes and diagnostic tests as well as a high index of suspicion. Histoplasmosis and blastomycosis respond well to antifungal treatment, but relapse is common without chronic suppressive therapy. Improvements in treatment are needed in coccidioidomycosis. Research is needed to identify preventive strategies for patients at risk. These strategies may include use of prophylactic antifungal therapy or vaccination. PMID:7704892

  16. Formative Evaluation of a Generic Decision Aid for Classroom Use.

    ERIC Educational Resources Information Center

    Freeman, Jared T.; Guillen, Julio

    Results of a formative evaluation of a decision aid for students of taxonomic domains such as statistics or biology are reported. The tool, XPT-EASE, is designed to allow a student to search a taxonomy by traversing its branches in an arbitrary order, presumably the order simplest for the student, rather than by starting from the root node and…

  17. Hip Arthroplasty Pseudotumors: Pathogenesis, Imaging, and Clinical Decision Making

    PubMed Central

    Davis, Derik L; Morrison, James J

    2016-01-01

    Pseudotumors are a complication of hip arthroplasty. The goal of this article is to review the clinical presentation, pathogenesis, histology, and the role of diagnostic imaging in clinical decision making for treatment, and surveillance of pseudotumors. We will discuss the multimodal imaging appearances, differential diagnosis, associated complications, treatment, and prognosis of pseudotumors, as an aid to the assessment of orthopedic prostheses at the hip. PMID:27195183

  18. The Use of Graphs as Decision Aids in Relation to Information Overload and Managerial Decision Quality.

    ERIC Educational Resources Information Center

    Chan, Siu Y.

    2001-01-01

    Discussion of information overload focuses on a study of masters degree students at a Hong Kong university that investigated the effectiveness of graphs as decision aids to reduce adverse effects of information overload on decision quality. Results of a simulation of a business prediction task with a sample of business managers are presented.…

  19. Aiding Lay Decision Making Using a Cognitive Competencies Approach

    PubMed Central

    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

  20. Refining a brief decision aid in stable CAD: cognitive interviews

    PubMed Central

    2014-01-01

    Background We describe the results of cognitive interviews to refine the “Making Choices©” Decision Aid (DA) for shared decision-making (SDM) about stress testing in patients with stable coronary artery disease (CAD). Methods We conducted a systematic development process to design a DA consistent with International Patient Decision Aid Standards (IPDAS) focused on Alpha testing criteria. Cognitive interviews were conducted with ten stable CAD patients using the “think aloud” interview technique to assess the clarity, usefulness, and design of each page of the DA. Results Participants identified three main messages: 1) patients have multiple options based on stress tests and they should be discussed with a physician, 2) take care of yourself, 3) the stress test is the gold standard for determining the severity of your heart disease. Revisions corrected the inaccurate assumption of item number three. Conclusions Cognitive interviews proved critical for engaging patients in the development process and highlighted the necessity of clear message development and use of design principles that make decision materials easy to read and easy to use. Cognitive interviews appear to contribute critical information from the patient perspective to the overall systematic development process for designing decision aids. PMID:24521210

  1. Delivering patient decision aids on the Internet: definitions, theories, current evidence, and emerging research areas

    PubMed Central

    2013-01-01

    Background In 2005, the International Patient Decision Aids Standards Collaboration identified twelve quality dimensions to guide assessment of patient decision aids. One dimension—the delivery of patient decision aids on the Internet—is relevant when the Internet is used to provide some or all components of a patient decision aid. Building on the original background chapter, this paper provides an updated definition for this dimension, outlines a theoretical rationale, describes current evidence, and discusses emerging research areas. Methods An international, multidisciplinary panel of authors examined the relevant theoretical literature and empirical evidence through 2012. Results The updated definition distinguishes Internet-delivery of patient decision aids from online health information and clinical practice guidelines. Theories in cognitive psychology, decision psychology, communication, and education support the value of Internet features for providing interactive information and deliberative support. Dissemination and implementation theories support Internet-delivery for providing the right information (rapidly updated), to the right person (tailored), at the right time (the appropriate point in the decision making process). Additional efforts are needed to integrate the theoretical rationale and empirical evidence from health technology perspectives, such as consumer health informatics, user experience design, and human-computer interaction. Despite Internet usage ranging from 74% to 85% in developed countries and 80% of users searching for health information, it is unknown how many individuals specifically seek patient decision aids on the Internet. Among the 86 randomized controlled trials in the 2011 Cochrane Collaboration’s review of patient decision aids, only four studies focused on Internet-delivery. Given the limited number of published studies, this paper particularly focused on identifying gaps in the empirical evidence base and

  2. Biomedical Informatics for Computer-Aided Decision Support Systems: A Survey

    PubMed Central

    Belle, Ashwin; Kon, Mark A.; Najarian, Kayvan

    2013-01-01

    The volumes of current patient data as well as their complexity make clinical decision making more challenging than ever for physicians and other care givers. This situation calls for the use of biomedical informatics methods to process data and form recommendations and/or predictions to assist such decision makers. The design, implementation, and use of biomedical informatics systems in the form of computer-aided decision support have become essential and widely used over the last two decades. This paper provides a brief review of such systems, their application protocols and methodologies, and the future challenges and directions they suggest. PMID:23431259

  3. Video decision aids to assist with advance care planning: a systematic review and meta-analysis

    PubMed Central

    Jain, Ashu; Corriveau, Sophie; Quinn, Kathleen; Gardhouse, Amanda; Vegas, Daniel Brandt; You, John J

    2015-01-01

    Objective Advance care planning (ACP) can result in end-of-life care that is more congruent with patients’ values and preferences. There is increasing interest in video decision aids to assist with ACP. The objective of this study was to evaluate the impact of video decision aids on patients’ preferences regarding life-sustaining treatments (primary outcome). Design Systematic review and meta-analysis of randomised controlled trials. Data sources MEDLINE, EMBASE, PsycInfo, CINAHL, AMED and CENTRAL, between 1980 and February 2014, and correspondence with authors. Eligibility criteria for selecting studies Randomised controlled trials of adult patients that compared a video decision aid to a non-video-based intervention to assist with choices about use of life-sustaining treatments and reported at least one ACP-related outcome. Data extraction Reviewers worked independently and in pairs to screen potentially eligible articles, and to extract data regarding risk of bias, population, intervention, comparator and outcomes. Reviewers assessed quality of evidence (confidence in effect estimates) for each outcome using the Grading of Recommendations Assessment, Development and Evaluation framework. Results 10 trials enrolling 2220 patients were included. Low-quality evidence suggests that patients who use a video decision aid are less likely to indicate a preference for cardiopulmonary resuscitation (pooled risk ratio, 0.50 (95% CI 0.27 to 0.95); I2=65%). Moderate-quality evidence suggests that video decision aids result in greater knowledge related to ACP (standardised mean difference, 0.58 (95% CI 0.38 to 0.77); I2=0%). No study reported on the congruence of end-of-life treatments with patients’ wishes. No study evaluated the effect of video decision aids when integrated into clinical care. Conclusions Video decision aids may improve some ACP-related outcomes. Before recommending their use in clinical practice, more evidence is needed to confirm these findings and

  4. Legal Considerations in Clinical Decision Making.

    ERIC Educational Resources Information Center

    Ursu, Samuel C.

    1992-01-01

    Discussion of legal issues in dental clinical decision making looks at the nature and elements of applicable law, especially malpractice, locus of responsibility, and standards of care. Greater use of formal decision analysis in clinical dentistry and better research on diagnosis and treatment are recommended, particularly in light of increasing…

  5. Personalised Multi-Criterial Online Decision Support for Siblings Considering Stem Cell Donation: An Interactive Aid.

    PubMed

    Kaltoft, Mette Kjer; Salkeld, Glenn; Dowie, Jack

    2016-01-01

    Person-centred decision support combines the best available information on the considerations that matter to the individual, with the importance the person attaches to those considerations. Nurses and other health professionals can benefit from being able to draw on this support within a clinical conversation. A case study and storyline on four siblings facing a transplant coordinator's call to donate stem cells to their brother [1] is 'translated' and used to demonstrate how an interactive multi-criteria aid can be developed for each within a conversational mode. The personalized dialogue and decision aid are accessible online for interaction. Each sibling's decision exemplifies the communication including physical and psychosocial complexities within any decision cascade from call-to-test and to donate, if compatible. A shared template can embrace the informational and ethical aspects of a decision. By interactive decision support within a clinical conversation, each stakeholder can gain a personalised opinion, as well as increased generic health decision literacy [2]. PMID:27332459

  6. ClinicalAccess: a clinical decision support tool.

    PubMed

    Crowell, Karen; Vardell, Emily

    2015-01-01

    ClinicalAccess is a new clinical decision support tool that uses a question-and-answer format to mirror clinical decision-making strategies. The unique format of ClinicalAccess delivers concise, authoritative answers to more than 120,000 clinical questions. This column presents a review of the product, a sample search, and a comparison with other point-of-care search engines. PMID:25927513

  7. What can Natural Language Processing do for Clinical Decision Support?

    PubMed Central

    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

  8. Assessment of Unconscious Decision Aids Applied to Complex Patient-Centered Medical Decisions

    PubMed Central

    Manigault, Andrew Wilhelm; Whillock, Summer Rain

    2015-01-01

    Background To improve patient health, recent research urges for medical decision aids that are designed to enhance the effectiveness of specific medically related decisions. Many such decisions involve complex information, and decision aids that independently use deliberative (analytical and slower) or intuitive (more affective and automatic) cognitive processes for such decisions result in suboptimal decisions. Unconscious thought can arguably use both intuitive and deliberative (slow and analytic) processes, and this combination may further benefit complex patient (or practitioner) decisions as medical decision aids. Indeed, mounting research demonstrates that individuals render better decisions generally if they are distracted from thinking consciously about complex information after it is presented (but can think unconsciously), relative to thinking about that information consciously or not at all. Objective The current research tested whether the benefits of unconscious thought processes can be replicated using an Internet platform for a patient medical decision involving complex information. This research also explored the possibility that judgments reported after a period of unconscious thought are actually the result of a short period of conscious deliberation occurring during the decision report phase. Methods A total of 173 participants in a Web-based experiment received information about four medical treatments, the best (worst) associated with mostly positive (negative) side-effects/attributes and the others with equal positive-negative ratios. Next, participants were either distracted for 3 minutes (unconscious thought), instructed to think about the information for 3 minutes (conscious thought), or moved directly to the decision task (immediate decision). Finally, participants reported their choice of, and attitudes toward, the treatments while experiencing high, low, or no cognitive load, which varied their ability to think consciously while

  9. Regional Climate Change and Development of Public Health Decision Aids

    NASA Astrophysics Data System (ADS)

    Hegedus, A. M.; Darmenova, K.; Grant, F.; Kiley, H.; Higgins, G. J.; Apling, D.

    2011-12-01

    According to the World Heath Organization (WHO) climate change is a significant and emerging threat to public health, and changes the way we must look at protecting vulnerable populations. Worldwide, the occurrence of some diseases and other threats to human health depend predominantly on local climate patterns. Rising average temperatures, in combination with changing rainfall patterns and humidity levels, alter the lifecycle and regional distribution of certain disease-carrying vectors, such as mosquitoes, ticks and rodents. In addition, higher surface temperatures will bring heat waves and heat stress to urban regions worldwide and will likely increase heat-related health risks. A growing body of scientific evidence also suggests an increase in extreme weather events such as floods, droughts and hurricanes that can be destructive to human health and well-being. Therefore, climate adaptation and health decision aids are urgently needed by city planners and health officials to determine high risk areas, evaluate vulnerable populations and develop public health infrastructure and surveillance systems. To address current deficiencies in local planning and decision making with respect to regional climate change and its effect on human health, our research is focused on performing a dynamical downscaling with the Weather Research and Forecasting (WRF) model to develop decision aids that translate the regional climate data into actionable information for users. WRF model is initialized with the Max Planck Institute European Center/Hamburg Model version 5 (ECHAM5) General Circulation Model simulations forced with the Special Report on Emissions (SRES) A1B emissions scenario. Our methodology involves development of climatological indices of extreme weather, quantifying the risk of occurrence of water/rodent/vector-borne diseases as well as developing various heat stress related decision aids. Our results indicate that the downscale simulations provide the necessary

  10. The Role of Personalised Choice in Decision Support: A Randomized Controlled Trial of an Online Decision Aid for Prostate Cancer Screening

    PubMed Central

    Salkeld, Glenn; Cunich, Michelle; Dowie, Jack; Howard, Kirsten; Patel, Manish I.; Mann, Graham; Lipworth, Wendy

    2016-01-01

    Importance Decision support tools can assist people to apply population-based evidence on benefits and harms to individual health decisions. A key question is whether “personalising” choice within decisions aids leads to better decision quality. Objective To assess the effect of personalising the content of a decision aid for prostate cancer screening using the Prostate Specific Antigen (PSA) test. Design Randomized controlled trial. Setting Australia. Participants 1,970 men aged 40–69 years were approached to participate in the trial. Intervention 1,447 men were randomly allocated to either a standard decision aid with a fixed set of five attributes or a personalised decision aid with choice over the inclusion of up to 10 attributes. Outcome Measures To determine whether there was a difference between the two groups in terms of: 1) the emergent opinion (generated by the decision aid) to have a PSA test or not; 2) self-rated decision quality after completing the online decision aid; 3) their intention to undergo screening in the next 12 months. We also wanted to determine whether men in the personalised choice group made use of the extra decision attributes. Results 5% of men in the fixed attribute group scored ‘Have a PSA test’ as the opinion generated by the aid, as compared to 62% of men in the personalised choice group (χ2 = 569.38, 2df, p< 0001). Those men who used the personalised decision aid had slightly higher decision quality (t = 2.157, df = 1444, p = 0.031). The men in the personalised choice group made extensive use of the additional decision attributes. There was no difference between the two groups in terms of their stated intention to undergo screening in the next 12 months. Conclusions Together, these findings suggest that personalised decision support systems could be an important development in shared decision-making and patient-centered care. Trial Registration Australian New Zealand Clinical Trials Registry (ANZCTR) ACTRN

  11. A Scalable Architecture for Rule Engine Based Clinical Decision Support Systems.

    PubMed

    Chattopadhyay, Soumi; Banerjee, Ansuman; Banerjee, Nilanjan

    2015-01-01

    Clinical Decision Support systems (CDSS) have reached a fair level of sophistication and have emerged as the popular system of choice for their aid in clinical decision making. These decision support systems are based on rule engines navigate through a repertoire of clinical rules and multitudes of facts to assist a clinical expert to decide on the set of actuations in response to a medical situation. In this paper, we present the design of a scalable architecture for a rule engine based clinical decision system. PMID:26262249

  12. Clinical Decision Making of Rural Novice Nurses

    ERIC Educational Resources Information Center

    Seright, Teresa J.

    2010-01-01

    The purpose of this study was to develop substantive theory regarding decision making by the novice nurse in a rural hospital setting. Interviews were guided by the following research questions: What cues were used by novice rural registered nurses in order to make clinical decisions? What were the sources of feedback which influenced subsequent…

  13. Application of expert systems in project management decision aiding

    NASA Technical Reports Server (NTRS)

    Harris, Regina; Shaffer, Steven; Stokes, James; Goldstein, David

    1987-01-01

    The feasibility of developing an expert systems-based project management decision aid to enhance the performance of NASA project managers was assessed. The research effort included extensive literature reviews in the areas of project management, project management decision aiding, expert systems technology, and human-computer interface engineering. Literature reviews were augmented by focused interviews with NASA managers. Time estimation for project scheduling was identified as the target activity for decision augmentation, and a design was developed for an Integrated NASA System for Intelligent Time Estimation (INSITE). The proposed INSITE design was judged feasible with a low level of risk. A partial proof-of-concept experiment was performed and was successful. Specific conclusions drawn from the research and analyses are included. The INSITE concept is potentially applicable in any management sphere, commercial or government, where time estimation is required for project scheduling. As project scheduling is a nearly universal management activity, the range of possibilities is considerable. The INSITE concept also holds potential for enhancing other management tasks, especially in areas such as cost estimation, where estimation-by-analogy is already a proven method.

  14. Improving clinical decision support using data mining techniques

    NASA Astrophysics Data System (ADS)

    Burn-Thornton, Kath E.; Thorpe, Simon I.

    1999-02-01

    Physicians, in their ever-demanding jobs, are looking to decision support systems for aid in clinical diagnosis. However, clinical decision support systems need to be of sufficiently high accuracy that they help, rather than hinder, the physician in his/her diagnosis. Decision support systems with accuracies, of patient state determination, of greater than 80 percent, are generally perceived to be sufficiently accurate to fulfill the role of helping the physician. We have previously shown that data mining techniques have the potential to provide the underpinning technology for clinical decision support systems. In this paper, an extension of the work in reverence 2, we describe how changes in data mining methodologies, for the analysis of 12-lead ECG data, improve the accuracy by which data mining algorithms determine which patients are suffering from heart disease. We show that the accuracy of patient state prediction, for all the algorithms, which we investigated, can be increased by up to 6 percent, using the combination of appropriate test training ratios and 5-fold cross-validation. The use of cross-validation greater than 5-fold, appears to reduce the improvement in algorithm classification accuracy gained by the use of this validation method. The accuracy of 84 percent in patient state predictions, obtained using the algorithm OCI, suggests that this algorithm will be capable of providing the required accuracy for clinical decision support systems.

  15. Decision Aids for Airborne Intercept Operations in Advanced Aircrafts

    NASA Technical Reports Server (NTRS)

    Madni, A.; Freedy, A.

    1981-01-01

    A tactical decision aid (TDA) for the F-14 aircrew, i.e., the naval flight officer and pilot, in conducting a multitarget attack during the performance of a Combat Air Patrol (CAP) role is presented. The TDA employs hierarchical multiattribute utility models for characterizing mission objectives in operationally measurable terms, rule based AI-models for tactical posture selection, and fast time simulation for maneuver consequence prediction. The TDA makes aspect maneuver recommendations, selects and displays the optimum mission posture, evaluates attackable and potentially attackable subsets, and recommends the 'best' attackable subset along with the required course perturbation.

  16. FIESTA: An operational decision aid for space network fault isolation

    NASA Technical Reports Server (NTRS)

    Lowe, Dawn; Quillin, Bob; Matteson, Nadine; Wilkinson, Bill; Miksell, Steve

    1987-01-01

    The Fault Tolerance Expert System for Tracking and Data Relay Satellite System (TDRSS) Applications (FIESTA) is a fault detection and fault diagnosis expert system being developed as a decision aid to support operations in the Network Control Center (NCC) for NASA's Space Network. The operational objectives which influenced FIESTA development are presented and an overview of the architecture used to achieve these goals are provided. The approach to the knowledge engineering effort and the methodology employed are also presented and illustrated with examples drawn from the FIESTA domain.

  17. Grand challenges in clinical decision support.

    PubMed

    Sittig, Dean F; Wright, Adam; Osheroff, Jerome A; Middleton, Blackford; Teich, Jonathan M; Ash, Joan S; Campbell, Emily; Bates, David W

    2008-04-01

    There is a pressing need for high-quality, effective means of designing, developing, presenting, implementing, evaluating, and maintaining all types of clinical decision support capabilities for clinicians, patients and consumers. Using an iterative, consensus-building process we identified a rank-ordered list of the top 10 grand challenges in clinical decision support. This list was created to educate and inspire researchers, developers, funders, and policy-makers. The list of challenges in order of importance that they be solved if patients and organizations are to begin realizing the fullest benefits possible of these systems consists of: improve the human-computer interface; disseminate best practices in CDS design, development, and implementation; summarize patient-level information; prioritize and filter recommendations to the user; create an architecture for sharing executable CDS modules and services; combine recommendations for patients with co-morbidities; prioritize CDS content development and implementation; create internet-accessible clinical decision support repositories; use freetext information to drive clinical decision support; mine large clinical databases to create new CDS. Identification of solutions to these challenges is critical if clinical decision support is to achieve its potential and improve the quality, safety and efficiency of healthcare. PMID:18029232

  18. A systematic review of decision aids for patients making a decision about treatment for early breast cancer.

    PubMed

    Nicholas Zdenkowski; Butow, Phyllis; Tesson, Stephanie; Boyle, Frances

    2016-04-01

    Several complex treatment decisions may be offered to women with early stage breast cancer, about a range of treatments from different modalities including surgery, radiotherapy, and endocrine and chemotherapy. Decision aids can facilitate shared decision-making and improve decision-related outcomes. We aimed to systematically identify, describe and appraise the literature on treatment decision aids for women with early breast cancer, synthesise the data and identify breast cancer decisions that lack a decision aid. A prospectively developed search strategy was applied to MEDLINE, the Cochrane databases, EMBASE, PsycINFO, Web of Science and abstract databases from major conferences. Data were extracted into a pre-piloted form. Quality and risk of bias were measured using Qualsyst criteria. Results were synthesised into narrative format. Thirty-three eligible articles were identified, evaluating 23 individual treatment decision aids, comprising 13 randomised controlled trial reports, seven non-randomised comparative studies, eight single-arm pre-post studies and five cross-sectional studies. The decisions addressed by these decision aids were: breast conserving surgery versus mastectomy (+/- reconstruction); use of chemotherapy and/or endocrine therapy; radiotherapy; and fertility preservation. Outcome measures were heterogeneous, precluding meta-analysis. Decisional conflict decreased, and knowledge and satisfaction increased, without any change in anxiety or depression, in most studies. No studies were identified that evaluated decision aids for neoadjuvant systemic therapy, or contralateral prophylactic mastectomy. Decision aids are available and improved decision-related outcomes for many breast cancer treatment decisions including surgery, radiotherapy, and endocrine and chemotherapy. Decision aids for neoadjuvant systemic therapy and contralateral prophylactic mastectomy could not be found, and may be warranted. PMID:27017240

  19. Decision aids for localized prostate cancer treatment choice: Systematic review and meta-analysis.

    PubMed

    Violette, Philippe D; Agoritsas, Thomas; Alexander, Paul; Riikonen, Jarno; Santti, Henrikki; Agarwal, Arnav; Bhatnagar, Neera; Dahm, Philipp; Montori, Victor; Guyatt, Gordon H; Tikkinen, Kari A O

    2015-01-01

    Patients who are diagnosed with localized prostate cancer need to make critical treatment decisions that are sensitive to their values and preferences. The role of decision aids in facilitating these decisions is unknown. The authors conducted a systematic review of randomized trials of decision aids for localized prostate cancer. Teams of 2 reviewers independently identified, selected, and abstracted data from 14 eligible trials (n = 3377 men), of which 10 were conducted in North America. Of these, 11 trials compared decision aids with usual care, and 3 trials compared decision aids with other decision aids. Two trials suggested a modest positive impact on decisional regret. Results across studies varied widely for decisional conflict (4 studies), satisfaction with decision (2 studies), and knowledge (2 studies). No impact on treatment choices was observed (6 studies). In conclusion, scant evidence at high risk of bias suggests the variable impact of existing decision aids on a limited set of decisional processes and outcomes. Because current decision aids provide information but do not directly facilitate shared decision making, subsequent efforts would benefit from user-centered design of decision aids that promote shared decision making. PMID:25772796

  20. A Conceptual Design of a Departure Planner Decision Aid

    NASA Technical Reports Server (NTRS)

    Anagnostakis, Ioannis; Idris, Husni R.; Clark, John-Paul; Feron, Eric; Hansman, R. John; Odoni, Amedeo R.; Hall, William D.

    2000-01-01

    Terminal area Air Traffic Management handles both arriving and departing traffic. To date, research work on terminal area operations has focused primarily on the arrival flow and typically departures are taken into account only in an approximate manner. However, arrivals and departures are highly coupled processes especially in the terminal airspace, with complex interactions and sharing of the same airport resources between arrivals and departures taking place in practically every important terminal area. Therefore, the addition of automation aids for departures, possibly in co-operation with existing arrival flow automation systems, could have a profound contribution in enhancing the overall efficiency of airport operations. This paper presents the conceptual system architecture for such an automation aid, the Departure Planner (DP). This architecture can be used as a core in the development of decision-aiding systems to assist air traffic controllers in improving the performance of departure operations and optimize runway time allocation among different operations at major congested airports. The design of such systems is expected to increase the overall efficiency of terminal area operations and yield benefits for all stakeholders involved in Air Traffic Management (ATM) operations, users as well as service providers.

  1. Challenging Operations: An Ethical Framework to Assist Humanitarian Aid Workers in their Decision-making Processes

    PubMed Central

    Clarinval, Caroline; Biller-Andorno, Nikola

    2014-01-01

    Introduction: This paper aims to raise awareness regarding ethical issues in the context of humanitarian action, and to offer a framework for systematically and effectively addressing such issues. Methods: Several cases highlight ethical issues that humanitarian aid workers are confronted with at different levels over the course of their deployments. The first case discusses a situation at a macro-level concerning decisions being made at the headquarters of a humanitarian organization. The second case looks at meso-level issues that need to be solved at a country or regional level. The third case proposes an ethical dilemma at the micro-level of the individual patient-provider relationship. Discussion: These real-life cases have been selected to illustrate the ethical dimension of conflicts within the context of humanitarian action that might remain unrecognized in everyday practice. In addition, we propose an ethical framework to assist humanitarian aid workers in their decision-making process. The framework draws on the principles and values that guide humanitarian action and public health ethics more generally. Beyond identifying substantive core values, the framework also includes a ten-step process modelled on tools used in the clinical setting that promotes a transparent and clear decision-making process and improves the monitoring and evaluation of aid interventions. Finally, we recommend organizational measures to implement the framework effectively. Conclusion: This paper uses a combination of public health/clinical ethics concepts and practices and applies them to the decision-making challenges encountered in relief operations in the humanitarian aid context. PMID:24987575

  2. The neglected topic: presentation of cost information in patient decision AIDS.

    PubMed

    Blumenthal-Barby, J S; Robinson, Emily; Cantor, Scott B; Naik, Aanand D; Russell, Heidi Voelker; Volk, Robert J

    2015-05-01

    Costs are an important component of patients' decision making, but a comparatively underemphasized aspect of formal shared decision making. We hypothesized that decision aids also avoid discussion of costs, despite their being tools designed to facilitate shared decision making about patient-centered outcomes. We sought to define the frequency of cost-related information and identify the common modes of presenting cost and cost-related information in the 290 decision aids catalogued in the Ottawa Hospital Research Institute's Decision Aid Library Inventory (DALI) system. We found that 56% (n = 161) of the decision aids mentioned cost in some way, but only 13% (n = 37) gave a specific price or range of prices. We identified 9 different ways in which cost was mentioned. The most common approach was as a "pro" of one of the treatment options (e.g., "you avoid the cost of medication"). Of the 37 decision aids that gave specific prices or ranges of prices for treatment options, only 2 were about surgery decisions despite the fact that surgery decision aids were the most common. Our findings suggest that presentation of cost information in decision aids is highly variable. Evidence-based guidelines should be developed by the International Patient Decision Aid Standards (IPDAS) Collaboration. PMID:25583552

  3. Decision support using the Multistatic Tactical Planning Aid (MSTPA)

    NASA Astrophysics Data System (ADS)

    Strode, Christopher; Mourre, Baptiste; Rixen, Michel

    2012-01-01

    The Multistatic Tactical Planning Aid (MSTPA) is a tool currently in development at NATO Undersea Research Centre which may be used to model the performance of a given multistatic sensor network in terms of the probability of detection of a submarine, the ability to hold a track and whether such a track could be correctly classified as such. The tool therefore considers the entire chain of events from an initial calculation of signal excess, the generation of a contact considering localisation errors, followed by the subsequent tracking and classification process. In its current form, the tool may be used to plan a particular multistatic scenario through operational analysis of many Monte Carlo simulations. The future development of MSTPA will transition towards a real-time decision support tool to assist operators and planners at sea. This study introduces a number of generic decision support techniques which may be wrapped around the MSTPA tool. The acoustic performance metric that will drive decisions will of course be subject to uncertainty relating to environmental measurements and extrapolations. The effect of this uncertainty on acoustic performance is examined here. Future studies will consider the sensitivity of the eventual decision—in terms of optimum sensor positions—to the acoustic uncertainty.

  4. Computerized Aid Improves Safety Decision Process for Survivors of Intimate Partner Violence

    PubMed Central

    Glass, Nancy; Eden, Karen B.; Bloom, Tina; Perrin, Nancy

    2011-01-01

    A computerized safety decision aid was developed and tested with Spanish or English-speaking abused women in shelters or domestic violence (DV) support groups (n = 90). The decision aid provides feedback about risk for lethal violence, options for safety, assistance with setting priorities for safety, and a safety plan personalized to the user. Women reported that the decision aid was useful and provided much-needed privacy for making safety decisions. The majority (69%) reported severe to extreme danger in their relationship as scored by Danger Assessment (DA); only 60% reported having made a safety plan. After using the safety decision aid, the women felt more supported in their decision (p = .012) and had less total decisional conflict (p = .014). The study demonstrated that a computerized safety decision aid improved the safety planning process, as demonstrated by reduced decisional conflict after only one use in a sample of abused women. PMID:20040709

  5. Helping novice nurses make effective clinical decisions: the situated clinical decision-making framework.

    PubMed

    Gillespie, Mary; Peterson, Barbara L

    2009-01-01

    The nature of novice nurses' clinical decision-making has been well documented as linear, based on limited knowledge and experience in the profession, and frequently focused on single tasks or problems. Theorists suggest that, with sufficient experience in the clinical setting, novice nurses will move from reliance on abstract principles to the application of concrete experience and to view a clinical situation within its context and as a whole. In the current health care environment, novice nurses frequently work with few clinical supports and mentors while facing complex patient situations that demand skilled decision-making. The Situated Clinical Decision-Making Framework is presented for use by educators and novice nurses to support development of clinical decision-making. It provides novice nurses with a tool that a) assists them in making decisions; b) can be used to guide retrospective reflection on decision-making processes and outcomes; c) socializes them to an understanding of the nature of decision-making in nursing; and d) fosters the development of their knowledge, skill, and confidence as nurses. This article provides an overview of the framework, including its theoretical foundations and a schematic representation of its components. A case exemplar illustrates one application of the framework in assisting novice nurses in developing their decision-making skills. Future directions regarding the use and study of this framework in nursing education are considered. PMID:19606659

  6. Development of a decision aid to inform patients’ and families’ renal replacement therapy selection decisions

    PubMed Central

    2012-01-01

    Background Few educational resources have been developed to inform patients’ renal replacement therapy (RRT) selection decisions. Patients progressing toward end stage renal disease (ESRD) must decide among multiple treatment options with varying characteristics. Complex information about treatments must be adequately conveyed to patients with different educational backgrounds and informational needs. Decisions about treatment options also require family input, as families often participate in patients’ treatment and support patients’ decisions. We describe the development, design, and preliminary evaluation of an informational, evidence-based, and patient-and family-centered decision aid for patients with ESRD and varying levels of health literacy, health numeracy, and cognitive function. Methods We designed a decision aid comprising a complementary video and informational handbook. We based our development process on data previously obtained from qualitative focus groups and systematic literature reviews. We simultaneously developed the video and handbook in “stages.” For the video, stages included (1) directed interviews with culturally appropriate patients and families and preliminary script development, (2) video production, and (3) screening the video with patients and their families. For the handbook, stages comprised (1) preliminary content design, (2) a mixed-methods pilot study among diverse patients to assess comprehension of handbook material, and (3) screening the handbook with patients and their families. Results The video and handbook both addressed potential benefits and trade-offs of treatment selections. The 50-minute video consisted of demographically diverse patients and their families describing their positive and negative experiences with selecting a treatment option. The video also incorporated health professionals’ testimonials regarding various considerations that might influence patients’ and families’ treatment selections

  7. Review of Multi-Criteria Decision Aid for Integrated Sustainability Assessment of Urban Water Systems - MCEARD

    EPA Science Inventory

    Integrated sustainability assessment is part of a new paradigm for urban water decision making. Multi-criteria decision aid (MCDA) is an integrative framework used in urban water sustainability assessment, which has a particular focus on utilising stakeholder participation. Here ...

  8. Entrustment Decision Making in Clinical Training.

    PubMed

    Ten Cate, Olle; Hart, Danielle; Ankel, Felix; Busari, Jamiu; Englander, Robert; Glasgow, Nicholas; Holmboe, Eric; Iobst, William; Lovell, Elise; Snell, Linda S; Touchie, Claire; Van Melle, Elaine; Wycliffe-Jones, Keith

    2016-02-01

    The decision to trust a medical trainee with the critical responsibility to care for a patient is fundamental to clinical training. When carefully and deliberately made, such decisions can serve as significant stimuli for learning and also shape the assessment of trainees. Holding back entrustment decisions too much may hamper the trainee's development toward unsupervised practice. When carelessly made, however, they jeopardize patient safety. Entrustment decision-making processes, therefore, deserve careful analysis.Members (including the authors) of the International Competency-Based Medical Education Collaborative conducted a content analysis of the entrustment decision-making process in health care training during a two-day summit in September 2013 and subsequently reviewed the pertinent literature to arrive at a description of the critical features of this process, which informs this article.The authors discuss theoretical backgrounds and terminology of trust and entrustment in the clinical workplace. The competency-based movement and the introduction of entrustable professional activities force educators to rethink the grounds for assessment in the workplace. Anticipating a decision to grant autonomy at a designated level of supervision appears to align better with health care practice than do most current assessment practices. The authors distinguish different modes of trust and entrustment decisions and elaborate five categories, each with related factors, that determine when decisions to trust trainees are made: the trainee, supervisor, situation, task, and the relationship between trainee and supervisor. The authors' aim in this article is to lay a theoretical foundation for a new approach to workplace training and assessment. PMID:26630606

  9. Modelling and Decision Support of Clinical Pathways

    NASA Astrophysics Data System (ADS)

    Gabriel, Roland; Lux, Thomas

    The German health care market is under a rapid rate of change, forcing especially hospitals to provide high-quality services at low costs. Appropriate measures for more effective and efficient service provision are process orientation and decision support by information technology of clinical pathway of a patient. The essential requirements are adequate modelling of clinical pathways as well as usage of adequate systems, which are capable of assisting the complete path of a patient within a hospital, and preferably also outside of it, in a digital way. To fulfil these specifications the authors present a suitable concept, which meets the challenges of well-structured clinical pathways as well as rather poorly structured diagnostic and therapeutic decisions, by interplay of process-oriented and knowledge-based hospital information systems.

  10. Computerized Aid Improves Safety Decision Process for Survivors of Intimate Partner Violence

    ERIC Educational Resources Information Center

    Glass, Nancy; Eden, Karen B.; Bloom, Tina; Perrin, Nancy

    2010-01-01

    A computerized safety decision aid was developed and tested with Spanish or English-speaking abused women in shelters or domestic violence (DV) support groups (n = 90). The decision aid provides feedback about risk for lethal violence, options for safety, assistance with setting priorities for safety, and a safety plan personalized to the user.…

  11. InformedTogether: Usability Evaluation of a Web-Based Decision Aid to Facilitate Shared Advance Care Planning for Severe Chronic Obstructive Pulmonary Disease

    PubMed Central

    Uhler, Lauren M; Pérez Figueroa, Rafael E; Dickson, Mark; McCullagh, Lauren; Kushniruk, Andre; Monkman, Helen; Witteman, Holly O

    2015-01-01

    Background Advance care planning may help patients receive treatments that better align with their goals for care. We developed a Web-based decision aid called InformedTogether to facilitate shared advance care planning between chronic obstructive pulmonary disease (COPD) patients and their doctors. Objective Our objective was to assess the usability of the InformedTogether decision aid, including whether users could interact with the decision aid to engage in tasks required for shared decision making, whether users found the decision aid acceptable, and implications for redesign. Methods We conducted an observational study with 15 patients and 8 doctors at two ethnically and socioeconomically diverse outpatient clinics. Data included quantitative and qualitative observations of patients and doctors using the decision aid on tablet or laptop computers and data from semistructured interviews. Patients were shown the decision aid by a researcher acting as the doctor. Pulmonary doctors were observed using the decision aid independently and asked to think aloud (ie, verbalize their thoughts). A thematic analysis was implemented to explore key issues related to decision aid usability. Results Although patients and doctors found InformedTogether acceptable and would recommend that doctors use the decision aid with COPD patients, many patients had difficulty understanding the icon arrays that were used to communicate estimated prognoses and could not articulate the definitions of the two treatment choices—Full Code and Do Not Resuscitate (DNR). Minor usability problems regarding content, links, layout, and consistency were also identified and corresponding recommendations were outlined. In particular, participants suggested including more information about potential changes in quality of life resulting from the alternative advance directives. Some doctor participants thought the decision aid was too long and some thought it may cause nervousness among patients due to

  12. Mechanistic biomarkers for clinical decision making in rheumatic diseases

    PubMed Central

    Robinson, William H.; Lindstrom, Tamsin M.; Cheung, Regina K.; Sokolove, Jeremy

    2013-01-01

    The use of biomarkers is becoming increasingly intrinsic to the practice of medicine and holds great promise for transforming the practice of rheumatology. Biomarkers have the potential to aid clinical diagnosis when symptoms are present or to provide a means of detecting early signs of disease when they are not. Some biomarkers can serve as early surrogates of eventual clinical outcomes or guide therapeutic decision making by enabling identification of individuals likely to respond to a specific therapy. Using biomarkers might reduce the costs of drug development by enabling individuals most likely to respond to be enrolled in clinical trials, thereby minimizing the number of participants required. In this Review, we discuss the current use and the potential of biomarkers in rheumatology and in select fields at the forefront of biomarker research. We emphasize the value of different types of biomarkers, addressing the concept of ‘actionable’ biomarkers, which can be used to guide clinical decision making, and ‘mechanistic’ biomarkers, a subtype of actionable biomarker that is embedded in disease pathogenesis and, therefore, represents a superior biomarker. We provide examples of actionable and mechanistic biomarkers currently available, and discuss how development of such biomarkers could revolutionize clinical practice and drug development. PMID:23419428

  13. Perceptions of Shared Decision Making and Decision Aids Among Rural Primary Care Clinicians

    PubMed Central

    Davis, Melinda M.; Gorman, Paul N.; Rugge, J. Bruin; Fagnan, L.J.

    2013-01-01

    Background Shared Decision Making (SDM) and Decision Aids (DAs) increase patients’ involvement in healthcare decisions and enhance satisfaction with their choices. Studies of SDM and DAs have primarily occurred in academic centers and large health systems, but most primary care is delivered in smaller practices and over 20% of Americans live in rural areas where poverty, disease prevalence and limited access to care may increase the need for SDM and DAs. Objective To explore perceptions and practices of rural primary care clinicians regarding SDM and DAs. Design Cross sectional survey. Setting and Participants Primary care clinicians affiliated with the Oregon Rural Practice-based Research Network (ORPRN). Results Surveys were returned by 181 of 231 eligible participants (78%), 174 could be analyzed. Two-thirds of participants were physicians, 84% practiced family medicine, and 55% were male. Sixty five percent of respondents were unfamiliar with the term “SDM”, but following definition, 97% reported they found the approach useful for conditions with multiple treatment options. Over 90% of clinicians perceived helping patients make decisions regarding chronic pain and health behavior change as moderate/hard in difficulty. Although 69% of respondents preferred that patients play an equal role in making decisions, they estimate this happens only 35% of the time. Time was reported as the largest barrier to engaging in SDM (63%). Respondents were receptive to using DAs to facilitate SDM in printed (95%) or web-based formats (72%) and topic preference varied by clinician specialty and decision difficulty. Conclusions Rural clinicians recognized the value of SDM and were receptive to using DAs in multiple formats. Integration of DAs to facilitate SDM in routine patient care may require addressing practice operation and reimbursement. PMID:22247423

  14. A Decision Aid for Women Considering Neoadjuvant Systemic Therapy for Operable Invasive Breast Cancer: Development and Protocol of a Phase II Evaluation Study (ANZ1301 DOMINO)

    PubMed Central

    Butow, Phyllis; Hutchings, Elizabeth; Douglas, Charles; Coll, Joseph R; Boyle, Frances M

    2016-01-01

    Background Neoadjuvant systemic therapy is offered to selected women with large and/or highly proliferative operable breast cancers. This option adds further complexity to an already complex breast cancer treatment decision tree. Patient decision aids are an established method of increasing patient involvement and knowledge while decreasing decisional conflict. There is currently no decision aid available for women considering neoadjuvant systemic therapy. Objective We aimed to develop a decision aid for women diagnosed with operable breast cancer and considered suitable for neoadjuvant systemic therapy, and the protocol for a multicenter pre-post study evaluating the acceptability and feasibility of the decision aid. Methods The decision aid was developed through literature review, expert advisory panel, adherence to the International Patient Decision Aid Standards, and iterative review. The protocol for evaluation of the decision aid consists of the following: eligible women will undertake a series of questionnaires prior to and after using the decision aid. The primary endpoint is decision aid acceptability to patients and investigators and the feasibility of use. Secondary endpoints include change in decisional conflict, participant knowledge, and information involvement preference. Feasibility is defined as the proportion of eligible participants who use the decision aid to help inform their treatment decision. Results This study has recruited 29 out of a planned 50 participants at four Australian sites. A 12-month recruitment period is expected with a further 12-months follow-up. Conclusions The decision aid has the potential to allow patients with operable breast cancer, who have been offered neoadjuvant systemic therapy, decreased decisional conflict, and greater involvement in the decision. If this study finds that an online decision aid is feasible and acceptable, it will be made widely available for routine clinical practice. Trial Registration

  15. Clinical Decision Support Systems for Ambulatory Care

    PubMed Central

    Lloyd, Stephen C.

    1984-01-01

    This conference serves to further the state of the art in the application of computers to medical care via a forum for the intercommunication of ideas. Papers discuss the experiences of diverse research projects. It is the purpose of this article to review the major developments in ambulatory care decision support. From this vantage point, the major impediments to broad applicability of information systems are discussed. The DUCHESS Medical Information Management System is then described as a step towards overcoming these obstacles. Two distinct but often overlapping issues are the representation of the data and its subsequent manipulation: records vs. knowledge. The complexity of the medical record requires state-of-the-art computer science. Clinical decision support requires flexible means for representing medical knowledge and the ability to input “rules.” Artificial intelligence has provided tools for simulating the decision making processes. A sample of the major systems are contrasted and compared. In the realm of medical records COSTAR, TMR, SCAMP, HELP, and STOR are considered. In clinical decision support CADEUCUS, REGENSTRIEF, PKC, and DUCHESS are reviewed.

  16. Computerized Clinical Decision Support: Contributions from 2014

    PubMed Central

    Koutkias, V.

    2015-01-01

    Summary Objective To summarize recent research and propose a selection of best papers published in 2014 in the field of computerized clinical decision support for the Decision Support section of the IMIA yearbook. Method A literature review was performed by searching two bibliographic databases for papers related to clinical decision support systems (CDSSs) and computerized provider order entry systems in order to select a list of candidate best papers to be then peer-reviewed by external reviewers. A consensus meeting between the two section editors and the editorial team was finally organized to conclude on the selection of best papers. Results Among the 1,254 returned papers published in 2014, the full review process selected four best papers. The first one is an experimental contribution to a better understanding of unintended uses of CDSSs. The second paper describes the effective use of previously collected data to tailor and adapt a CDSS. The third paper presents an innovative application that uses pharmacogenomic information to support personalized medicine. The fourth paper reports on the long-term effect of the routine use of a CDSS for antibiotic therapy. Conclusions As health information technologies spread more and more meaningfully, CDSSs are improving to answer users’ needs more accurately. The exploitation of previously collected data and the use of genomic data for decision support has started to materialize. However, more work is still needed to address issues related to the correct usage of such technologies, and to assess their effective impact in the long term. PMID:26293858

  17. Geriatric consultation can aid in complex treatment decisions for elderly cancer patients.

    PubMed

    Schiphorst, A H W; Ten Bokkel Huinink, D; Breumelhof, R; Burgmans, J P J; Pronk, A; Hamaker, M E

    2016-05-01

    Treatment decisions for elderly cancer patients can be challenging. A geriatric assessment may identify unknown medical conditions, give insight on patients' ability to tolerate treatment and guide treatment decisions. Our aim was to study the value of a geriatric consultation in oncological decision-making. Data on cancer patients referred for geriatric consultation for clinical optimisation or due to uncertainty regarding their optimal treatment strategy were prospectively analysed. Outcome of geriatric evaluations, non-oncological interventions and suggested adaptations of oncological treatment proposals were evaluated. Seventy-two patients were referred for consultation, over half of which in a curative treatment setting. Prevalence of geriatric syndromes was 93%, previously undiagnosed conditions were identified in 49% of patients and non-oncological interventions were initiated in 56%. Time was spent discussing patients' priorities (53% of consultations), expectations on treatment (50%) and advance care planning (14%). For 82% of patients, suggestions were made regarding the optimal treatment decision: a more intensive treatment was recommended in 39%, a less intensive therapy for 42% and in 19% only supportive care was suggested. The results demonstrate that a geriatric consultation can aid in complex treatment decisions and may allow for a reduction in over- and undertreatment of elderly cancer patients. PMID:26211484

  18. Diverter Decision Aiding for In-Flight Diversions

    NASA Technical Reports Server (NTRS)

    Rudolph, Frederick M.; Homoki, David A.; Sexton, George A.

    1990-01-01

    It was determined that artificial intelligence technology can provide pilots with the help they need in making the complex decisions concerning en route changes in a flight plan. A diverter system should have the capability to take all of the available information and produce a recommendation to the pilot. Phase three illustrated that using Joshua to develop rules for an expert system and a Statice database provided additional flexibility by permitting the development of dynamic weighting of diversion relevant parameters. This increases the fidelity of the AI functions cited as useful in aiding the pilot to perform situational assessment, navigation rerouting, flight planning/replanning, and maneuver execution. Additionally, a prototype pilot-vehicle interface (PVI) was designed providing for the integration of both text and graphical based information. Advanced technologies were applied to PVI design, resulting in a hierarchical menu based architecture to increase the efficiency of information transfer while reducing expected workload. Additional efficiency was gained by integrating spatial and text displays into an integrated user interface.

  19. Nurses' Clinical Decision Making on Adopting a Wound Clinical Decision Support System.

    PubMed

    Khong, Peck Chui Betty; Hoi, Shu Yin; Holroyd, Eleanor; Wang, Wenru

    2015-07-01

    Healthcare information technology systems are considered the ideal tool to inculcate evidence-based nursing practices. The wound clinical decision support system was built locally to support nurses to manage pressure ulcer wounds in their daily practice. However, its adoption rate is not optimal. The study's objective was to discover the concepts that informed the RNs' decisions to adopt the wound clinical decision support system as an evidence-based technology in their nursing practice. This was an exploratory, descriptive, and qualitative design using face-to-face interviews, individual interviews, and active participatory observation. A purposive, theoretical sample of 14 RNs was recruited from one of the largest public tertiary hospitals in Singapore after obtaining ethics approval. After consenting, the nurses were interviewed and observed separately. Recruitment stopped when data saturation was reached. All transcribed interview data underwent a concurrent thematic analysis, whereas observational data were content analyzed independently and subsequently triangulated with the interview data. Eight emerging themes were identified, namely, use of the wound clinical decision support system, beliefs in the wound clinical decision support system, influences of the workplace culture, extent of the benefits, professional control over nursing practices, use of knowledge, gut feelings, and emotions (fear, doubt, and frustration). These themes represented the nurses' mental outlook as they made decisions on adopting the wound clinical decision support system in light of the complexities of their roles and workloads. This research has provided insight on the nurses' thoughts regarding their decision to interact with the computer environment in a Singapore context. It captured the nurses' complex thoughts when deciding whether to adopt or reject information technology as they practice in a clinical setting. PMID:26066306

  20. Computer aided decision support system for cervical cancer classification

    NASA Astrophysics Data System (ADS)

    Rahmadwati, Rahmadwati; Naghdy, Golshah; Ros, Montserrat; Todd, Catherine

    2012-10-01

    Conventional analysis of a cervical histology image, such a pap smear or a biopsy sample, is performed by an expert pathologist manually. This involves inspecting the sample for cellular level abnormalities and determining the spread of the abnormalities. Cancer is graded based on the spread of the abnormal cells. This is a tedious, subjective and time-consuming process with considerable variations in diagnosis between the experts. This paper presents a computer aided decision support system (CADSS) tool to help the pathologists in their examination of the cervical cancer biopsies. The main aim of the proposed CADSS system is to identify abnormalities and quantify cancer grading in a systematic and repeatable manner. The paper proposes three different methods which presents and compares the results using 475 images of cervical biopsies which include normal, three stages of pre cancer, and malignant cases. This paper will explore various components of an effective CADSS; image acquisition, pre-processing, segmentation, feature extraction, classification, grading and disease identification. Cervical histological images are captured using a digital microscope. The images are captured in sufficient resolution to retain enough information for effective classification. Histology images of cervical biopsies consist of three major sections; background, stroma and squamous epithelium. Most diagnostic information are contained within the epithelium region. This paper will present two levels of segmentations; global (macro) and local (micro). At the global level the squamous epithelium is separated from the background and stroma. At the local or cellular level, the nuclei and cytoplasm are segmented for further analysis. Image features that influence the pathologists' decision during the analysis and classification of a cervical biopsy are the nuclei's shape and spread; the ratio of the areas of nuclei and cytoplasm as well as the texture and spread of the abnormalities

  1. Protocol for the Osteoporosis Choice trial. A pilot randomized trial of a decision aid in primary care practice

    PubMed Central

    2009-01-01

    Background Bisphosphonates can reduce fracture risk in patients with osteoporosis, but many at-risk patients do not start or adhere to these medications. The aims of this study are to: (1) preliminarily evaluate the effect of an individualized 10-year osteoporotic fracture risk calculator and decision aid (OSTEOPOROSIS CHOICE) for postmenopausal women at risk for osteoporotic fractures; and (2) assess the feasibility and validity (i.e., absence of contamination) of patient-level randomization (vs. cluster randomization) in pilot trials of decision aid efficacy. Methods/Design This is a protocol for a parallel, 2-arm, randomized trial to compare an intervention group receiving OSTEOPOROSIS CHOICE to a control group receiving usual primary care. Postmenopausal women with bone mineral density T-scores of <-1.0, not receiving bisphosphonate therapy, and receiving care at participating primary care practices in and around Rochester, Minnesota, USA will be eligible to participate in the trial. We will measure the effect of OSTEOPOROSIS CHOICE on five outcomes: (a) patient knowledge regarding osteoporosis risk factors and treatment; (b) quality of the decision-making process for both the patient and clinician; (c) patient and clinician acceptability and satisfaction with the decision aid; (d) rate of bisphosphonate use and adherence, and (e) trial processes (e.g., ability to recruit participants, collect patient outcomes). To capture these outcomes, we will use patient and clinician surveys following each visit and video recordings of the clinical encounters. These video recordings will also allow us to determine the extent to which clinicians previously exposed to the decision aid were able to recreate elements of the decision aid with control patients (i.e., contamination). Pharmacy prescription profiles and follow-up phone interviews will assess medication start and adherence at 6 months. Discussion This pilot trial will provide evidence of feasibility, validity of

  2. Distributed training, testing, and decision aids within one solution

    NASA Astrophysics Data System (ADS)

    Strini, Robert A.; Strini, Keith

    2002-07-01

    Military air operations in the European theater require U.S. and NATO participants to send various mission experts to 10 Combined Air Operations Centers (CAOCs). Little or no training occurs prior to their arrival for tours of duty ranging between 90 days to 3 years. When training does occur, there is little assessment of its effectiveness in raising CAOC mission readiness. A comprehensive training management system has been developed that utilizes traditional and web based distance-learning methods for providing instruction and task practice as well as distributed simulation to provide mission rehearsal training opportunities on demand for the C2 warrior. This system incorporates new technologies, such as voice interaction and virtual tutors, and a Learning Management System (LMS) that tracks trainee progress from academic learning through procedural practice and mission training exercises. Supervisors can monitor their subordinate's progress through synchronous or asynchronous methods. Embedded within this system are virtual tutors, which provide automated performance measurement as well as tutoring. The training system offers a true time management savings for current instructors and training providers that today must perform On the Job Training (OJT) duties before, during and after each event. Many units do not have the resources to support OJT and are forced to maintain an overlap of several days to minimally maintain unit readiness. One CAOC Commander affected by this paradigm has advocated supporting a beta version of this system to test its ability to offer training on-demand and track the progress of its personnel and unit readiness. If successful, aircrew simulation devices can be connected through either Distributed Interactive Simulation or High Level Architecture methods to provide a DMT-C2 air operations training environment in Europe. This paper presents an approach to establishing a training, testing and decision aid capability and means to assess

  3. Decision aid tools to support women's decision making in pregnancy and birth: a systematic review and meta-analysis.

    PubMed

    Dugas, Marylène; Shorten, Allison; Dubé, Eric; Wassef, Maggy; Bujold, Emmanuel; Chaillet, Nils

    2012-06-01

    Support for a model of shared medical decision making, where women and their care providers discuss risks and benefits of their different options, reveal their preferences, and jointly make a decision, is a growing expectation in obstetric care. The objective of this study was to conduct a systematic review and meta-analysis of randomized controlled trials evaluating the efficacy of different decision aid tools compared to regular care for women facing several options in the specific field of obstetric care. We included published studies about interventions designed to aid mothers' decision making and provide information about obstetrical treatment or screening options. Following a search of electronic databases for articles published in English and French from 1994 to 2010, we found ten studies that met the inclusion criteria. In this systematic review and meta-analysis we found that all decision aid tools, except for Decision Trees, facilitated significant increases in knowledge. The Computer-based Information Tool, the Decision Analysis Tools, Individual Counseling and Group Counseling intervention presented significant results in reducing anxiety levels. The Decision Analysis Tools and the Computer-based Information tool were associated with a reduction in levels of decisional conflict. The Decision Analysis Tool was the only tool that presented evidence of an impact on the final choice and final outcome. Decision aid tools can assist health professionals to provide information and counseling about choices during pregnancy and support women in shared decision making. The choice of a specific tool should depend on resources available to support their use as well as the specific decisions being faced by women, their health care setting and providers. PMID:22475401

  4. [Clinical decisions in a philosophical perspective].

    PubMed

    Wulff, H R

    1993-09-20

    Medicine is both a scientific and a humanistic discipline. The foundation for clinical decisions has four components (two scientific and two humanistic). 1) The biological component (reasoning based on biological theory). Biological thinking is currently being revolutionised, partly through the development of systems theory. 2) The empirical component (reasoning based on experience from earlier patients), which comprises both uncontrolled and controlled experience. 3) The empathic-hermeneutic component (reasoning based on an understanding of the patient as a fellow human being). Empathy requires hermeneutic knowledge which can be acquired through personal experience and by qualitative research. 4) The ethical component which comprises both utilitarian and deontological considerations. PMID:8211903

  5. Ten years of the International Patient Decision Aid Standards Collaboration: evolution of the core dimensions for assessing the quality of patient decision aids

    PubMed Central

    2013-01-01

    In 2003, the International Patient Decision Aid Standards (IPDAS) Collaboration was established to enhance the quality and effectiveness of patient decision aids by establishing an evidence-informed framework for improving their content, development, implementation, and evaluation. Over this 10 year period, the Collaboration has established: a) the background document on 12 core dimensions to inform the original modified Delphi process to establish the IPDAS checklist (74 items); b) the valid and reliable IPDAS instrument (47 items); and c) the IPDAS qualifying (6 items), certifying (6 items + 4 items for screening), and quality criteria (28 items). The objective of this paper is to describe the evolution of the IPDAS Collaboration and discuss the standardized process used to update the background documents on the theoretical rationales, evidence and emerging issues underlying the 12 core dimensions for assessing the quality of patient decision aids. PMID:24624947

  6. Driving and dementia: a clinical decision pathway

    PubMed Central

    Carter, Kirsty; Monaghan, Sophie; O'Brien, John; Teodorczuk, Andrew; Mosimann, Urs; Taylor, John-Paul

    2015-01-01

    Objective This study aimed to develop a pathway to bring together current UK legislation, good clinical practice and appropriate management strategies that could be applied across a range of healthcare settings. Methods The pathway was constructed by a multidisciplinary clinical team based in a busy Memory Assessment Service. A process of successive iteration was used to develop the pathway, with input and refinement provided via survey and small group meetings with individuals from a wide range of regional clinical networks and diverse clinical backgrounds as well as discussion with mobility centres and Forum of Mobility Centres, UK. Results We present a succinct clinical pathway for patients with dementia, which provides a decision-making framework for how health professionals across a range of disciplines deal with patients with dementia who drive. Conclusions By integrating the latest guidance from diverse roles within older people's health services and key experts in the field, the resulting pathway reflects up-to-date policy and encompasses differing perspectives and good practice. It is potentially a generalisable pathway that can be easily adaptable for use internationally, by replacing UK legislation for local regulations. A limitation of this pathway is that it does not address the concern of mild cognitive impairment and how this condition relates to driving safety. © 2014 The Authors. International Journal of Geriatric Psychiatry published by John Wiley & Sons, Ltd. PMID:24865643

  7. Enhancing Ethical Decision Making in Sexuality and AIDS Education.

    ERIC Educational Resources Information Center

    Bailey, C. Everett; Piercy, Fred P.

    1997-01-01

    Advocates providing sexuality and AIDS education in a way that helps adolescents explore the ethical meaning of sexual behavior. Presents principles for Rest's model of moral development, which describes four internal processes that produce moral behavior, as one example of an ethical framework that could inform sexuality and AIDS education…

  8. Decision support aids with anthropomorphic characteristics influence trust and performance in younger and older adults.

    PubMed

    Pak, Richard; Fink, Nicole; Price, Margaux; Bass, Brock; Sturre, Lindsay

    2012-01-01

    This study examined the use of deliberately anthropomorphic automation on younger and older adults' trust, dependence and performance on a diabetes decision-making task. Research with anthropomorphic interface agents has shown mixed effects in judgments of preferences but has rarely examined effects on performance. Meanwhile, research in automation has shown some forms of anthropomorphism (e.g. etiquette) have effects on trust and dependence on automation. Participants answered diabetes questions with no-aid, a non-anthropomorphic aid or an anthropomorphised aid. Trust and dependence in the aid was measured. A minimally anthropomorphic aide primarily affected younger adults' trust in the aid. Dependence, however, for both age groups was influenced by the anthropomorphic aid. Automation that deliberately embodies person-like characteristics can influence trust and dependence on reasonably reliable automation. However, further research is necessary to better understand the specific aspects of the aid that affect different age groups. Automation that embodies human-like characteristics may be useful in situations where there is under-utilisation of reasonably reliable aids by enhancing trust and dependence in that aid. Practitioner Summary: The design of decision-support aids on consumer devices (e.g. smartphones) may influence the level of trust that users place in that system and their amount of use. This study is the first step in articulating how the design of aids may influence user's trust and use of such systems. PMID:22799560

  9. Cancer diagnostics: decision criteria for marker utilization in the clinic.

    PubMed

    Taube, Sheila E; Jacobson, James W; Lively, Tracy G

    2005-01-01

    A new diagnostic tool must pass three major tests before it is adopted for routine clinical use. First, the tool must be robust and reproducible; second, the clinical value of the tool must be proven, i.e. the tool should reliably trigger a clinical decision that results in patient benefit; and, third, the clinical community has to be convinced of the need for this tool and the benefits it affords. Another factor that can influence the adoption of new tools relates to the cost and the vagaries of insurance reimbursement. The Cancer Diagnosis Program (CDP) of the US National Cancer Institute (NCI) launched the Program for the Assessment of Clinical Cancer Tests (PACCT) in 2000 to develop a process for moving the results of new technologies and new understanding of cancer biology more efficiently and effectively into clinical practice. PACCT has developed an algorithm that incorporates the iterative nature of assay development into an evaluation process that includes developers and end users. The effective introduction of new tests into clinical practice has been hampered by a series of common problems that are best described using examples of successes and failures. The successful application of the PACCT algorithm is described in the discussion of the recent development of the OncotypeDX assay and plan for a prospective trial of this assay by the NCI-supported Clinical Trials Cooperative Groups. The assay uses reverse transcription (RT)-PCR evaluation of a set of 16 genes that were shown to strongly associate with the risk of recurrence of breast cancer in women who presented with early stage disease (hormone responsive, and no involvement of the auxiliary lymph nodes). The test is highly reproducible. It provides information to aid the physician and patient in making important clinical decisions, including the aggressiveness of the therapy that should be recommended. A trial is planned to test whether OncotypeDX can be used as a standalone trigger for specific

  10. Patient Decision Aids: A Case for Certification at the National Level in the United States.

    PubMed

    Poddar, Urbashi; Brownlee, Shannon; Stacey, Dawn; Volk, Robert J; Williams, John W; Elwyn, Glyn

    2015-01-01

    Patient decision aids enable patients to be better informed about the potential benefits and harms of their healthcare options. Certification of patient decision aids at the national level in the United States is a critical step towards responsible governance-primarily as a quality measure that increases patients' safety, as mandated in the U.S. Patient Protection and Affordable Care Act (PPACA). Certification would provide a verification process to identify conflicts of interest that may otherwise bias the scientific evidence presented in decision aids. Certification also benefits clinicians who may otherwise face malpractice claims based on harm to patients caused by possible reliance on patient decision aids that are inaccurate, incomplete, or presented in a manner that biases the patient's decision. Existing work by the International Patient Decision Aid Standards Collaboration could guide the establishment of a certification process within the U.S. This article argues for national certification of patient decision aids and discusses how that may be achieved. PMID:26752384

  11. Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers

    PubMed Central

    2013-01-01

    Background Making evidence-based decisions often requires comparison of two or more options. Research-based evidence may exist which quantifies how likely the outcomes are for each option. Understanding these numeric estimates improves patients’ risk perception and leads to better informed decision making. This paper summarises current “best practices” in communication of evidence-based numeric outcomes for developers of patient decision aids (PtDAs) and other health communication tools. Method An expert consensus group of fourteen researchers from North America, Europe, and Australasia identified eleven main issues in risk communication. Two experts for each issue wrote a “state of the art” summary of best evidence, drawing on the PtDA, health, psychological, and broader scientific literature. In addition, commonly used terms were defined and a set of guiding principles and key messages derived from the results. Results The eleven key components of risk communication were: 1) Presenting the chance an event will occur; 2) Presenting changes in numeric outcomes; 3) Outcome estimates for test and screening decisions; 4) Numeric estimates in context and with evaluative labels; 5) Conveying uncertainty; 6) Visual formats; 7) Tailoring estimates; 8) Formats for understanding outcomes over time; 9) Narrative methods for conveying the chance of an event; 10) Important skills for understanding numerical estimates; and 11) Interactive web-based formats. Guiding principles from the evidence summaries advise that risk communication formats should reflect the task required of the user, should always define a relevant reference class (i.e., denominator) over time, should aim to use a consistent format throughout documents, should avoid “1 in x” formats and variable denominators, consider the magnitude of numbers used and the possibility of format bias, and should take into account the numeracy and graph literacy of the audience. Conclusion A substantial and

  12. Aides' Involvement in Decision-Making and the Quality of Care in Institutional Settings

    ERIC Educational Resources Information Center

    Raynes, Norma V.; And Others

    1977-01-01

    The degree of participation in decision making by direct care staff aides, and its effect on the quality of care for mentally handicapped persons, was assessed among 125 staff of 3 state institutions averaging 1080 patients. (BB)

  13. Promoting perioperative advance care planning: a systematic review of advance care planning decision aids.

    PubMed

    Aslakson, Rebecca A; Schuster, Anne L R; Reardon, Jessica; Lynch, Thomas; Suarez-Cuervo, Catalina; Miller, Judith A; Moldovan, Rita; Johnston, Fabian; Anton, Blair; Weiss, Matthew; Bridges, John F P

    2015-11-01

    This systematic review identifies possible decision aids that promote perioperative advance care planning (ACP) and synthesizes the available evidence regarding their use. Using PubMed, EMBASE, Cochrane, SCOPUS, Web of Science, CINAHL, PsycINFO and Sociological Abstracts, researchers identified and screened articles for eligibility. Data were abstracted and risk of bias assessed for included articles. Thirty-nine of 5327 articles satisfied the eligibility criteria. Primarily completed in outpatient ambulatory populations, studies evaluated a variety of ACP decision aids. None were evaluated in a perioperative population. Fifty unique outcomes were reported with no head-to-head comparisons conducted. Findings are likely generalizable to a perioperative population and can inform development of a perioperative ACP decision aid. Future studies should compare the effectiveness of ACP decision aids. PMID:26346494

  14. Features of Computer-Based Decision Aids: Systematic Review, Thematic Synthesis, and Meta-Analyses

    PubMed Central

    Krömker, Dörthe; Meguerditchian, Ari N; Tamblyn, Robyn

    2016-01-01

    Background Patient information and education, such as decision aids, are gradually moving toward online, computer-based environments. Considerable research has been conducted to guide content and presentation of decision aids. However, given the relatively new shift to computer-based support, little attention has been given to how multimedia and interactivity can improve upon paper-based decision aids. Objective The first objective of this review was to summarize published literature into a proposed classification of features that have been integrated into computer-based decision aids. Building on this classification, the second objective was to assess whether integration of specific features was associated with higher-quality decision making. Methods Relevant studies were located by searching MEDLINE, Embase, CINAHL, and CENTRAL databases. The review identified studies that evaluated computer-based decision aids for adults faced with preference-sensitive medical decisions and reported quality of decision-making outcomes. A thematic synthesis was conducted to develop the classification of features. Subsequently, meta-analyses were conducted based on standardized mean differences (SMD) from randomized controlled trials (RCTs) that reported knowledge or decisional conflict. Further subgroup analyses compared pooled SMDs for decision aids that incorporated a specific feature to other computer-based decision aids that did not incorporate the feature, to assess whether specific features improved quality of decision making. Results Of 3541 unique publications, 58 studies met the target criteria and were included in the thematic synthesis. The synthesis identified six features: content control, tailoring, patient narratives, explicit values clarification, feedback, and social support. A subset of 26 RCTs from the thematic synthesis was used to conduct the meta-analyses. As expected, computer-based decision aids performed better than usual care or alternative aids; however

  15. Translating comparative effectiveness of depression medications into practice by comparing the depression medication choice decision aid to usual care: study protocol for a randomized controlled trial

    PubMed Central

    2013-01-01

    Background Comparative effectiveness research (CER) documents important differences in antidepressants in terms of efficacy, safety, cost, and burden to the patient. Decision aids can adapt this evidence to help patients participate in making informed choices. In turn, antidepressant therapy will more likely reflect patients’ values and context, leading to improved adherence and mood outcomes. Methods/Design The objective of this study is to develop the Depression Medication Choice decision aid for use during primary care encounters, and to test its efficacy by conducting a clustered practical randomized trial comparing the decision aid to usual depression care in primary care practices. We will use a novel practice-based, patient-centered approach based on participatory action research that involves a multidisciplinary team of designers, investigators, clinicians, patient representatives, and other stakeholders for the development of the decision aid. We will then conduct a clustered practical randomized trial enrolling clinicians and their patients (n = 300) with moderate to severe depression from rural, suburban and inner city primary care practices (n = 10). The intervention will consist of the use of the depression medication choice decision aid during the clinical encounter. This trial will generate preliminary evidence of the relative impact of the decision aid on patient involvement in decision making, decision making quality, patient knowledge, and 6-month measures of medication adherence and mental health compared to usual depression care. Discussion Upon completion of the proposed research, we will have developed and evaluated the efficacy of the decision aid depression medication choice as a novel translational tool for CER in depression treatment, engaged patients with depression in their care, and refined the process by which we conduct practice-based trials with limited research footprint. Trial registration Clinical Trials.gov: NCT01502891 PMID

  16. Do choosing wisely tools meet criteria for patient decision aids? A descriptive analysis of patient materials

    PubMed Central

    Légaré, France; Hébert, Jessica; Goh, Larissa; Lewis, Krystina B; Leiva Portocarrero, Maria Ester; Robitaille, Hubert; Stacey, Dawn

    2016-01-01

    Objectives Choosing Wisely is a remarkable physician-led campaign to reduce unnecessary or harmful health services. Some of the literature identifies Choosing Wisely as a shared decision-making approach. We evaluated the patient materials developed by Choosing Wisely Canada to determine whether they meet the criteria for shared decision-making tools known as patient decision aids. Design Descriptive analysis of all Choosing Wisely Canada patient materials. Data source In May 2015, we selected all Choosing Wisely Canada patient materials from its official website. Main outcomes and measures Four team members independently extracted characteristics of the English materials using the International Patient Decision Aid Standards (IPDAS) modified 16-item minimum criteria for qualifying and certifying patient decision aids. The research team discussed discrepancies between data extractors and reached a consensus. Descriptive analysis was conducted. Results Of the 24 patient materials assessed, 12 were about treatments, 11 were about screening and 1 was about prevention. The median score for patient materials using IPDAS criteria was 10/16 (range: 8–11) for screening topics and 6/12 (range: 6–9) for prevention and treatment topics. Commonly missed criteria were stating the decision (21/24 did not), providing balanced information on option benefits/harms (24/24 did not), citing evidence (24/24 did not) and updating policy (24/24 did not). Out of 24 patient materials, only 2 met the 6 IPDAS criteria to qualify as patient decision aids, and neither of these 2 met the 6 certifying criteria. Conclusions Patient materials developed by Choosing Wisely Canada do not meet the IPDAS minimal qualifying or certifying criteria for patient decision aids. Modifications to the Choosing Wisely Canada patient materials would help to ensure that they qualify as patient decision aids and thus as more effective shared decision-making tools. PMID:27566638

  17. Do personal stories make patient decision aids more effective? A critical review of theory and evidence

    PubMed Central

    2013-01-01

    Background Patient decision aids support people to make informed decisions between healthcare options. Personal stories provide illustrative examples of others’ experiences and are seen as a useful way to communicate information about health and illness. Evidence indicates that providing information within personal stories affects the judgments and values people have, and the choices they make, differentially from facts presented in non-narrative prose. It is unclear if including narrative communications within patient decision aids enhances their effectiveness to support people to make informed decisions. Methods A survey of primary empirical research employing a systematic review method investigated the effect of patient decision aids with or without a personal story on people’s healthcare judgements and decisions. Searches were carried out between 2005-2012 of electronic databases (Medline, PsycINFO), and reference lists of identified articles, review articles, and key authors. A narrative analysis described and synthesised findings. Results Of 734 citations identified, 11 were included describing 13 studies. All studies found participants’ judgments and/or decisions differed depending on whether or not their decision aid included a patient story. Knowledge was equally facilitated when the decision aids with and without stories had similar information content. Story-enhanced aids may help people recall information over time and/or their motivation to engage with health information. Personal stories affected both “system 1” (e.g., less counterfactual reasoning, more emotional reactions and perceptions) and “system 2” (e.g., more perceived deliberative decision making, more stable evaluations over time) decision-making strategies. Findings exploring associations with narrative communications, decision quality measures, and different levels of literacy and numeracy were mixed. The pattern of findings was similar for both experimental and real

  18. Creating an advance-care-planning decision aid for high-risk surgery: a qualitative study

    PubMed Central

    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

  19. Collaborative Brain-Computer Interface for Aiding Decision-Making

    PubMed Central

    Poli, Riccardo; Valeriani, Davide; Cinel, Caterina

    2014-01-01

    We look at the possibility of integrating the percepts from multiple non-communicating observers as a means of achieving better joint perception and better group decisions. Our approach involves the combination of a brain-computer interface with human behavioural responses. To test ideas in controlled conditions, we asked observers to perform a simple matching task involving the rapid sequential presentation of pairs of visual patterns and the subsequent decision as whether the two patterns in a pair were the same or different. We recorded the response times of observers as well as a neural feature which predicts incorrect decisions and, thus, indirectly indicates the confidence of the decisions made by the observers. We then built a composite neuro-behavioural feature which optimally combines the two measures. For group decisions, we uses a majority rule and three rules which weigh the decisions of each observer based on response times and our neural and neuro-behavioural features. Results indicate that the integration of behavioural responses and neural features can significantly improve accuracy when compared with the majority rule. An analysis of event-related potentials indicates that substantial differences are present in the proximity of the response for correct and incorrect trials, further corroborating the idea of using hybrids of brain-computer interfaces and traditional strategies for improving decision making. PMID:25072739

  20. Teaching Advance Care Planning to Medical Students with a Computer-Based Decision Aid

    PubMed Central

    Levi, Benjamin H.

    2013-01-01

    Discussing end-of-life decisions with cancer patients is a crucial skill for physicians. This article reports findings from a pilot study evaluating the effectiveness of a computer-based decision aid for teaching medical students about advance care planning. Second-year medical students at a single medical school were randomized to use a standard advance directive or a computer-based decision aid to help patients with advance care planning. Students' knowledge, skills, and satisfaction were measured by self-report; their performance was rated by patients. 121/133 (91%) of students participated. The Decision-Aid Group (n=60) outperformed the Standard Group (n=61) in terms of students´ knowledge (p<0.01), confidence in helping patients with advance care planning (p<0.01), knowledge of what matters to patients (p=0.05), and satisfaction with their learning experience (p<0.01). Likewise, patients in the Decision Aid Group were more satisfied with the advance care planning method (p<0.01) and with several aspects of student performance. Use of a computer-based decision aid may be an effective way to teach medical students how to discuss advance care planning with cancer patients. PMID:20632222

  1. Design and Focus Test of a Preconsultation Decision Aid for Breast Cancer Reconstruction Patients: A Quality Improvement Initiative

    PubMed Central

    Hui, Kenneth J.; Liu, Xiang X.; Luan, Anna

    2015-01-01

    Objective: To design, develop, and evaluate via focus group a preconsultation decision aid to improve patient satisfaction for breast reconstruction. Methods: The design of the decision aid was based on perceived patient needs, literature, existing decision aids, and current standard of breast cancer reconstruction treatment and consultation at Stanford. Our decision aid was designed to (1) reducing fear of the unknown in patients via providing a knowledge base that they can rely on, (2) helping patients identify their key breast reconstruction concerns, (3) addressing common patient concerns, (4) providing a framework to help patients identify the treatment option that may be right for them, and (5) promoting shared decision making. Physicians were consulted on the decision aid, following which a focus group was conducted for patient feedback. Results: Interviewed patients (n = 12) were supportive of the decision aid initiative. Participants were especially pleased with the side-by-side comparison of surgical options and the parsimonious way information was represented. All patients before undergoing reconstruction (n = 3) requested the decision guide to reference at home. All interviewed patients believed information level was “about right.” Conclusions: Decision aid was well received by patients in the focus group. As the initiative is for quality improvement, we saw no need to further delay the distribution of the decision aid. A pilot study will be conducted to evaluate whether our decision aid has an effect on patients’ decision regret, stress, and anxiety. PMID:26171096

  2. Overdetection in breast cancer screening: development and preliminary evaluation of a decision aid

    PubMed Central

    Hersch, Jolyn; Jansen, Jesse; Barratt, Alexandra; Irwig, Les; Houssami, Nehmat; Jacklyn, Gemma; Thornton, Hazel; Dhillon, Haryana; McCaffery, Kirsten

    2014-01-01

    Objective To develop, pilot and refine a decision aid (ahead of a randomised trial evaluation) for women around age 50 facing their initial decision about whether to undergo mammography screening. Design Two-stage mixed-method pilot study including qualitative interviews (n=15) and a randomised comparison using a quantitative survey (n=34). Setting New South Wales, Australia. Participants Women aged 43–59 years with no personal history of breast cancer. Interventions The decision aid provides evidence-based information about important outcomes of mammography screening over 20 years (breast cancer mortality reduction, overdetection and false positives) compared with no screening. The information is presented in a short booklet for women, combining text and visual formats. A control version produced for the purposes of comparison omits the overdetection-related content. Outcomes Comprehension of key decision aid content and acceptability of the materials. Results Most women considered the decision aid clear and helpful and would recommend it to others. Nonetheless, the piloting process raised important issues that we tried to address in iterative revisions. Some participants found it hard to understand overdetection and why it is of concern, while there was often confusion about the distinction between overdetection and false positives. In a screening context, encountering balanced information rather than persuasion appears to be contrary to people's expectations, but women appreciated the opportunity to become better informed. Conclusions The concept of overdetection is complex and new to the public. This study highlights some key challenges for communicating about this issue. It is important to clarify that overdetection differs from false positives in terms of its more serious consequences (overtreatment and associated harms). Screening decision aids also must clearly explain their purpose of facilitating informed choice. A staged approach to development and

  3. Outpatient diabetes clinical decision support: current status and future directions.

    PubMed

    O'Connor, P J; Sperl-Hillen, J M; Fazio, C J; Averbeck, B M; Rank, B H; Margolis, K L

    2016-06-01

    Outpatient clinical decision support systems have had an inconsistent impact on key aspects of diabetes care. A principal barrier to success has been low use rates in many settings. Here, we identify key aspects of clinical decision support system design, content and implementation that are related to sustained high use rates and positive impacts on glucose, blood pressure and lipid management. Current diabetes clinical decision support systems may be improved by prioritizing care recommendations, improving communication of treatment-relevant information to patients, using such systems for care coordination and case management and integrating patient-reported information and data from remote devices into clinical decision algorithms and interfaces. PMID:27194173

  4. Supporting patients in shared decision making in clinical practice.

    PubMed

    Madsen, Claire; Fraser, Aileen

    2015-04-01

    This article defines shared decision making in patient care and describes the background to this philosophy. The shared decision making approach is part of a wider initiative to promote patient-centred care and increase patient involvement in clinical decisions. Shared decision making recognises patients' rights to make decisions about their care and is used to assist them to make informed and individualised decisions about care and treatment. As well as reviewing the principles of shared decision making, the article offers practical guidance on how nurses can implement this initiative, including information on sharing expertise, agenda setting, assessing risks and benefits, setting goals, and support and follow up. PMID:25828022

  5. Biostatistics in clinical decision making for cardiothoracic radiologists.

    PubMed

    Zurakowski, David; Johnson, Victor M; Lee, Edward Y

    2013-11-01

    Cardiothoracic radiologists are intuitively aware of sensitivity and specificity as they pertain to diagnostic tests involving clinical information. However, many cardiothoracic radiologists are unfamiliar with odds ratios, likelihood ratios, predictive values, and receiver operating characteristic (ROC) curves, which provide more information about the performance of a test. Our article will first review the fundamental concepts of sensitivity, specificity, predictive values, and likelihood ratios. The ROC curve methodology will be covered with an emphasis on creating a look-up table, a straightforward table that communicates important information to the clinician to aid in diagnosis. The article reviews sensitivity and specificity, as well as predictive values, logistic regression, and ROC curves, using conceptual principles without unnecessary mathematical rigor. We will apply principles of sensitivity and specificity to continuous measurements by constructing ROC curves in order to tie together key ideas in diagnostic decision making. Three clinical examples are presented to illustrate these fundamental statistical concepts: predictors of pulmonary embolism in children, use of dobutamine-cardiac magnetic resonance imaging to identify impaired ventricular function in patients who have suffered a myocardial infarction, and diagnostic accuracy of 64-multidetector row computed tomography to identify occluded vessels in adult patients with suspected coronary artery disease. In addition, a glossary is provided at the end of the article with key terms important in diagnostic imaging. An understanding of the concepts presented will assist cardiothoracic radiologists in critically discerning the usefulness of diagnostic tests and how these statistics can be applied to make judgments and decisions that are essential to clinical practice. PMID:23358369

  6. A quantitative method for evaluating alternatives. [aid to decision making

    NASA Technical Reports Server (NTRS)

    Forthofer, M. J.

    1981-01-01

    When faced with choosing between alternatives, people tend to use a number of criteria (often subjective, rather than objective) to decide which is the best alternative for them given their unique situation. The subjectivity inherent in the decision-making process can be reduced by the definition and use of a quantitative method for evaluating alternatives. This type of method can help decision makers achieve degree of uniformity and completeness in the evaluation process, as well as an increased sensitivity to the factors involved. Additional side-effects are better documentation and visibility of the rationale behind the resulting decisions. General guidelines for defining a quantitative method are presented and a particular method (called 'hierarchical weighted average') is defined and applied to the evaluation of design alternatives for a hypothetical computer system capability.

  7. Phenotyping, endotyping and clinical decision-making.

    PubMed

    Fokkens, W J

    2016-06-01

    We have exiting times in the treatment of chronic rhinosinusitis (CRS). The last year has brought us a number of new ideas and publications to help in decision-making in daily practice. In the first issue of this year, Claire Hopkins and co-authors identified the most important outcomes for patients, public and practitioners that should be evaluated in studies on health interventions for CRS. In this issue of the journal, a group of experts tried to define appropriateness criteria for endoscopic sinus surgery during management of uncomplicated adult chronic rhinosinusitis. Appropriate indications for endoscopic sinus surgery (ESS) are currently poorly defined and the lack of clear surgical indications for ESS likely contributes to the large geographic variation in surgical rates. Using the Delphi method a total of 624 clinical scenarios (half CRSsNP and half CRSwNP) were ranked. The study clearly states that this group of experts indicates that ESS can only be indicated after medical treatment has failed with patients still having significant symptoms (SNOT-22 over 20) and at least some abnormalities at CT scan. PMID:27236249

  8. Clinical Use of Aided Cortical Auditory Evoked Potentials as a Measure of Physiological Detection or Physiological Discrimination

    PubMed Central

    Billings, Curtis J.; Papesh, Melissa A.; Penman, Tina M.; Baltzell, Lucas S.; Gallun, Frederick J.

    2012-01-01

    The clinical usefulness of aided cortical auditory evoked potentials (CAEPs) remains unclear despite several decades of research. One major contributor to this ambiguity is the wide range of variability across published studies and across individuals within a given study; some results demonstrate expected amplification effects, while others demonstrate limited or no amplification effects. Recent evidence indicates that some of the variability in amplification effects may be explained by distinguishing between experiments that focused on physiological detection of a stimulus versus those that differentiate responses to two audible signals, or physiological discrimination. Herein, we ask if either of these approaches is clinically feasible given the inherent challenges with aided CAEPs. N1 and P2 waves were elicited from 12 noise-masked normal-hearing individuals using hearing-aid-processed 1000-Hz pure tones. Stimulus levels were varied to study the effect of hearing-aid-signal/hearing-aid-noise audibility relative to the noise-masked thresholds. Results demonstrate that clinical use of aided CAEPs may be justified when determining whether audible stimuli are physiologically detectable relative to inaudible signals. However, differentiating aided CAEPs elicited from two suprathreshold stimuli (i.e., physiological discrimination) is problematic and should not be used for clinical decision making until a better understanding of the interaction between hearing-aid-processed stimuli and CAEPs can be established. PMID:23093964

  9. Decision aid systems for evaluating sustainability: a critical survey

    SciTech Connect

    Brunner, Norbert; Starkl, Markus

    2004-05-01

    Assessing sustainability in compliance with the EU water framework directive is affected by numerous conflicting interests. As they can no longer be resolved by means of intuitive reasoning, some authors propose the integration of the major fragmented indicators into one common indicator of the overall sustainability by means of a codified multi-criteria decision support methodology (DSM). Practitioners in urban water management, however, usually object to the use of a codified DSM, as in the legal context (negotiations between the stakeholders, tendering procedure) it might jeopardize the feasibility of the decision making process (DMP). Here we show that a feasible implementation of a DSM into the DMP is possible. To this end, we design a cooperative approach, which by means of an axiomatic evaluation helps to select an appropriate DSM. We illustrate it by a hypothetical dialogue between the relevant authority and the developer. It will expose the inherent limitations of the DSM, which are due to their underlying mathematical features.

  10. Identifying the Basis for Clinical Decisions - A Feasibility Study.

    PubMed

    Hurlen, Petter; Ofstad, Eirik; Gulbrandsen, Pål

    2016-01-01

    This study explored the possibility of defining a set of terms to describe and identify the basis for clinical decisions in a set of transcriptions from clinical encounters with previously identified decisions. The paper presents the considerations behind the exploratory study and considerations for further work. PMID:27577435

  11. The effect of a decision aid intervention on decision making about coronary heart disease risk reduction: secondary analyses of a randomized trial

    PubMed Central

    2014-01-01

    Background Decision aids offer promise as a practical solution to improve patient decision making about coronary heart disease (CHD) prevention medications and help patients choose medications to which they are likely to adhere. However, little data is available on decision aids designed to promote adherence. Methods In this paper, we report on secondary analyses of a randomized trial of a CHD adherence intervention (second generation decision aid plus tailored messages) versus usual care in an effort to understand how the decision aid facilitates adherence. We focus on data collected from the primary study visit, when intervention participants presented 45 minutes early to a previously scheduled provider visit; viewed the decision aid, indicating their intent for CHD risk reduction after each decision aid component (individualized risk assessment and education, values clarification, and coaching); and filled out a post-decision aid survey assessing their knowledge, perceived risk, decisional conflict, and intent for CHD risk reduction. Control participants did not present early and received usual care from their provider. Following the provider visit, participants in both groups completed post-visit surveys assessing the number and quality of CHD discussions with their provider, their intent for CHD risk reduction, and their feelings about the decision aid. Results We enrolled 160 patients into our study (81 intervention, 79 control). Within the decision aid group, the decision aid significantly increased knowledge of effective CHD prevention strategies (+21 percentage points; adjusted p<.0001) and the accuracy of perceived CHD risk (+33 percentage points; adjusted p<.0001), and significantly decreased decisional conflict (-0.63; adjusted p<.0001). Comparing between study groups, the decision aid also significantly increased CHD prevention discussions with providers (+31 percentage points; adjusted p<.0001) and improved perceptions of some features of patient

  12. Heuristics in Managing Complex Clinical Decision Tasks in Experts’ Decision Making

    PubMed Central

    Islam, Roosan; Weir, Charlene; Del Fiol, Guilherme

    2016-01-01

    Background Clinical decision support is a tool to help experts make optimal and efficient decisions. However, little is known about the high level of abstractions in the thinking process for the experts. Objective The objective of the study is to understand how clinicians manage complexity while dealing with complex clinical decision tasks. Method After approval from the Institutional Review Board (IRB), three clinical experts were interviewed the transcripts from these interviews were analyzed. Results We found five broad categories of strategies by experts for managing complex clinical decision tasks: decision conflict, mental projection, decision trade-offs, managing uncertainty and generating rule of thumb. Conclusion Complexity is created by decision conflicts, mental projection, limited options and treatment uncertainty. Experts cope with complexity in a variety of ways, including using efficient and fast decision strategies to simplify complex decision tasks, mentally simulating outcomes and focusing on only the most relevant information. Application Understanding complex decision making processes can help design allocation based on the complexity of task for clinical decision support design.

  13. Effects of Viewing an Evidence-Based Video Decision Aid on Patients’ Treatment Preferences for Spine Surgery

    PubMed Central

    Lurie, Jon D.; Spratt, Kevin F.; Blood, Emily A.; Tosteson, Tor D.; Tosteson, Anna N. A.; Weinstein, James N.

    2011-01-01

    Study Design Secondary analysis within a large clinical trial Objective To evaluate the changes in treatment preference before and after watching a video decision aid as part of an informed consent process. Summary of Background Data A randomized trial with a similar decision aid in herniated disc patients had shown decreased rate of surgery in the video group, but the effect of the video on expressed preferences is not known. Methods Subjects enrolling in the Spine Patient Outcomes Research Trial (SPORT) with intervertebral disc herniation (IDH), spinal stenosis (SPS), or degenerative spondylolisthesis (DS) at thirteen multidisciplinary spine centers across the US were given an evidence-based videotape decision aid viewed prior to enrollment as part of informed consent. Results Of the 2505 patients, 86% (n=2151) watched the video and 14% (n=354) did not. Watchers shifted their preference more often than non-watchers(37.9% vs. 20.8%, p < 0.0001) and more often demonstrated a strengthened preference (26.2% vs. 11.1%, p < 0.0001). Among the 806 patients whose preference shifted after watching the video, 55% shifted toward surgery (p=0.003). Among the 617 who started with no preference, after the video 27% preferred non-operative care, 22% preferred surgery, and 51% remained uncertain. Conclusion After watching the evidence-based patient decision aid (video) used in SPORT, patients with specific lumbar spine disorders formed and/or strengthened their treatment preferences in a balanced way that did not appear biased toward or away from surgery. PMID:21358485

  14. Decision trees and integrated features for computer aided mammographic screening

    SciTech Connect

    Kegelmeyer, W.P. Jr.; Groshong, B.; Allmen, M.; Woods, K.

    1997-02-01

    Breast cancer is a serious problem, which in the United States causes 43,000 deaths a year, eventually striking 1 in 9 women. Early detection is the only effective countermeasure, and mass mammography screening is the only reliable means for early detection. Mass screening has many shortcomings which could be addressed by a computer-aided mammographic screening system. Accordingly, we have applied the pattern recognition methods developed in earlier investigations of speculated lesions in mammograms to the detection of microcalcifications and circumscribed masses, generating new, more rigorous and uniform methods for the detection of both those signs. We have also improved the pattern recognition methods themselves, through the development of a new approach to combinations of multiple classifiers.

  15. Pilot decision making in a computer-aided flight management situation

    NASA Technical Reports Server (NTRS)

    Chu, Y. Y.; Rouse, W. B.

    1978-01-01

    An experimental representation of a computer-aided multi-task flight management situation has been developed. A computer aiding program was implemented to serve as a back-up decision maker. An experiment was conducted with a balanced design of several subject runs for different workload levels. This was achieved using three levels of subsystem event arrival rates, three levels of control task involvement, and three levels of availability of computer aiding. Experimental results compared quite favorably with those from a computer simulation which employed a queueing model. It was shown that the aiding had enhanced system performance as well as subjective ratings, and that the adaptive aiding policy further reduced subsystem delay.

  16. Selecting a risk-based tool to aid in decision making

    SciTech Connect

    Bendure, A.O.

    1995-03-01

    Selecting a risk-based tool to aid in decision making is as much of a challenge as properly using the tool once it has been selected. Failure to consider customer and stakeholder requirements and the technical bases and differences in risk-based decision making tools will produce confounding and/or politically unacceptable results when the tool is used. Selecting a risk-based decisionmaking tool must therefore be undertaken with the same, if not greater, rigor than the use of the tool once it is selected. This paper presents a process for selecting a risk-based tool appropriate to a set of prioritization or resource allocation tasks, discusses the results of applying the process to four risk-based decision-making tools, and identifies the ``musts`` for successful selection and implementation of a risk-based tool to aid in decision making.

  17. Personalizing Drug Selection Using Advanced Clinical Decision Support

    PubMed Central

    Pestian, John; Spencer, Malik; Matykiewicz, Pawel; Zhang, Kejian; Vinks, Alexander A.; Glauser, Tracy

    2009-01-01

    This article describes the process of developing an advanced pharmacogenetics clinical decision support at one of the United States’ leading pediatric academic medical centers. This system, called CHRISTINE, combines clinical and genetic data to identify the optimal drug therapy when treating patients with epilepsy or Attention Deficit Hyperactivity Disorder. In the discussion a description of clinical decision support systems is provided, along with an overview of neurocognitive computing and how it is applied in this setting. PMID:19898682

  18. Decision aids for advance care planning: an overview of the state of the science.

    PubMed

    Butler, Mary; Ratner, Edward; McCreedy, Ellen; Shippee, Nathan; Kane, Robert L

    2014-09-16

    Advance care planning honors patients' goals and preferences for future care by creating a plan for when illness or injury impedes the ability to think or communicate about health decisions. Fewer than 50% of severely or terminally ill patients have an advance directive in their medical record, and physicians are accurate only about 65% of the time when predicting patient preferences for intensive care. Decision aids can support the advance care planning process by providing a structured approach to informing patients about care options and prompting them to document and communicate their preferences. This review, commissioned as a technical brief by the Agency for Healthcare Research and Quality Effective Health Care Program, provides a broad overview of current use of and research related to decision aids for adult advance care planning. Using interviews of key informants and a search of the gray and published literature from January 1990 to May 2014, the authors found that many decision aids are widely available but are not assessed in the empirical literature. The 16 published studies testing decision aids as interventions for adult advance care planning found that most are proprietary or not publicly available. Some are constructed for the general population, whereas others address disease-specific conditions that have more predictable end-of-life scenarios and, therefore, more discrete choices. New decision aids should be designed that are responsive to diverse philosophical perspectives and flexible enough to change as patients gain experience with their personal illness courses. Future efforts should include further research, training of advance care planning facilitators, dissemination and access, and tapping potential opportunities in social media or other technologies. PMID:25069709

  19. Propagation-based decision aids in the U.S. Navy

    NASA Astrophysics Data System (ADS)

    Paulus, Richard A.

    1989-09-01

    The U.S. Navy was using a shipboard radar propagation assessment system for the past decade. This system was conceived as the Integrated Refractive Effects Prediction System (IREPS) in 1973; tested at sea in 1976; and installed on most capital ships beginning in 1978. IREPS provided two types of products: displays of refractivity data and sensor performance displays. The workhorse display was the radar coverage diagram used by the air wing to determine penetration or jamming altitudes against hostile radars. This initial capability to exploit propagation effects was received so enthusiastically and proved so successful that the development of Tactical Decision Aids (TDAs) became part of an ongoing program to enhance this capability in the fleet. These TDAs structure the propagation information for the decision maker and perform functions that would otherwise overwhelm him. The decision maker is not directed to a specific course of action but rather is provided a framework within which tradeoff decisions can be made with respect to propagation in conjunction with other essential factors of the mission. This approach to the development of an aircraft stationing aid is discussed along with an overview of several TDAs applicable to various warfare areas. Efforts to incorporate these tactical decisions aids into Navy sea-based command and control systems are explored.

  20. Early Commitment on Financial Aid and College Decision Making of Poor Students: Evidence from a Randomized Evaluation in Rural China

    ERIC Educational Resources Information Center

    Liu, Chengfang; Zhang, Linxiu; Luo, Renfu; Wang, Xiaobing; Rozelle, Scott; Sharbono, Brian; Adams, Jennifer; Shi, Yaojiang; Yue, Ai; Li, Hongbin; Glauben, Thomas

    2011-01-01

    Many educational systems have struggled with the question about how best to give out financial aid. In particular, if students do not know the amount of financial aid that they can receive before they make a decision about where to go to college and what major to study, it may distort their decision. This study utilizes an experiment (implemented…

  1. The Impact of Financial Aid on Learning, Career Decisions, and Employment: Evidence from Recent Chinese College Students

    ERIC Educational Resources Information Center

    Yang, Po

    2011-01-01

    China established a large-scale financial aid system in the late 1980s. This multilayered aid system aimed at enhancing educational and employment opportunities. However, very few studies have examined the impact of student aid on learning effort and outcome, career decisions, and early labor market performance. Using two recent Chinese college…

  2. An Integrated Decision-Making Model for Categorizing Weather Products and Decision Aids

    NASA Technical Reports Server (NTRS)

    Elgin, Peter D.; Thomas, Rickey P.

    2004-01-01

    The National Airspace System s capacity will experience considerable growth in the next few decades. Weather adversely affects safe air travel. The FAA and NASA are working to develop new technologies that display weather information to support situation awareness and optimize pilot decision-making in avoiding hazardous weather. Understanding situation awareness and naturalistic decision-making is an important step in achieving this goal. Information representation and situation time stress greatly influence attentional resource allocation and working memory capacity, potentially obstructing accurate situation awareness assessments. Three naturalistic decision-making theories were integrated to provide an understanding of the levels of decision making incorporated in three operational situations and two conditions. The task characteristics associated with each phase of flight govern the level of situation awareness attained and the decision making processes utilized. Weather product s attributes and situation task characteristics combine to classify weather products according to the decision-making processes best supported. In addition, a graphical interface is described that affords intuitive selection of the appropriate weather product relative to the pilot s current flight situation.

  3. Clinical Decision Making among Dental Students and General Practitioners.

    ERIC Educational Resources Information Center

    Grembowski, David; And Others

    1989-01-01

    Senior dental students and family dental practitioners were surveyed concerning their choice of pairs of alternative treatments and the technical and patient factors influencing their decisions. Greater agreement in clinical decision-making was found among dentists than among students for all four pairs of alternative services. (MSE)

  4. Decision aids: when 'nudging' patients to make a particular choice is more ethical than balanced, nondirective content.

    PubMed

    Blumenthal-Barby, J S; Cantor, Scott B; Russell, Heidi Voelker; Naik, Aanand D; Volk, Robert J

    2013-02-01

    Patient decision aids, such as instructional leaflets describing treatment options for prostate cancer, are designed to help educate patients so that they can share in decisions about their care. Developers of these decision aids strive for balance, aiming to be as neutral, unbiased, and nondirective as possible. We argue that balance should not always be a goal, and we identify three situations where it should not be. For example, men diagnosed with early-stage prostate cancer frequently are not advised by their physicians that active surveillance is a reasonable alternative to immediate surgery or radiation. It may be desirable to design decision aids that promote active surveillance as an option. We recognize that the arguments put forth in this article are controversial. But they are also justified. We challenge medical decision makers and decision aid developers to determine if and when patients should be "nudged" toward one option or another. PMID:23381523

  5. A Framework and Model for Evaluating Clinical Decision Support Architectures

    PubMed Central

    Wright, Adam; Sittig, Dean F.

    2008-01-01

    In this paper, we develop a four-phase model for evaluating architectures for clinical decision support that focuses on: defining a set of desirable features for a decision support architecture; building a proof-of-concept prototype; demonstrating that the architecture is useful by showing that it can be integrated with existing decision support systems and comparing its coverage to that of other architectures. We apply this framework to several well-known decision support architectures, including Arden Syntax, GLIF, SEBASTIAN and SAGE PMID:18462999

  6. Weather Avoidance Using Route Optimization as a Decision Aid: An AWIN Topical Study. Phase 1

    NASA Technical Reports Server (NTRS)

    1998-01-01

    The aviation community is faced with reducing the fatal aircraft accident rate by 80 percent within 10 years. This must be achieved even with ever increasing, traffic and a changing National Airspace System. This is not just an altruistic goal, but a real necessity, if our growing level of commerce is to continue. Honeywell Technology Center's topical study, "Weather Avoidance Using Route Optimization as a Decision Aid", addresses these pressing needs. The goal of this program is to use route optimization and user interface technologies to develop a prototype decision aid for dispatchers and pilots. This decision aid will suggest possible diversions through single or multiple weather hazards and present weather information with a human-centered design. At the conclusion of the program, we will have a laptop prototype decision aid that will be used to demonstrate concepts to industry for integration into commercialized products for dispatchers and/or pilots. With weather a factor in 30% of aircraft accidents, our program will prevent accidents by strategically avoiding weather hazards in flight. By supplying more relevant weather information in a human-centered format along with the tools to generate flight plans around weather, aircraft exposure to weather hazards can be reduced. Our program directly addresses the NASA's five year investment areas of Strategic Weather Information and Weather Operations (simulation/hazard characterization and crew/dispatch/ATChazard monitoring, display, and decision support) (NASA Aeronautics Safety Investment Strategy: Weather Investment Recommendations, April 15, 1997). This program is comprised of two phases, Phase I concluded December 31, 1998. This first phase defined weather data requirements, lateral routing algorithms, an conceptual displays for a user-centered design. Phase II runs from January 1999 through September 1999. The second phase integrates vertical routing into the lateral optimizer and combines the user

  7. Decision Aids for Multiple-Decision Disease Management as Affected by Weather Input Errors

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Many disease management decision support systems (DSS) rely, exclusively or in part, on weather inputs to calculate an indicator for disease hazard. Error in the weather inputs, typically due to forecasting, interpolation or estimation from off-site sources, may affect model calculations and manage...

  8. Balancing the presentation of information and options in patient decision aids: an updated review

    PubMed Central

    2013-01-01

    Background Standards for patient decision aids require that information and options be presented in a balanced manner; this requirement is based on the argument that balanced presentation is essential to foster informed decision making. If information is presented in an incomplete/non-neutral manner, it can stimulate cognitive biases that can unduly affect individuals’ knowledge, perceptions of risks and benefits, and, ultimately, preferences. However, there is little clarity about what constitutes balance, and how it can be determined and enhanced. We conducted a literature review to examine the theoretical and empirical evidence related to balancing the presentation of information and options. Methods A literature search related to patient decision aids and balance was conducted on Medline, using MeSH terms and PubMed; this search supplemented the 2011 Cochrane Collaboration’s review of patient decision aids trials. Only English language articles relevant to patient decision making and addressing the balance of information and options were included. All members of the team independently screened clusters of articles; uncertainties were resolved by seeking review by another member. The team then worked in sub-groups to extract and synthesise data on theory, definitions, and evidence reported in these studies. Results A total of 40 articles met the inclusion criteria. Of these, six explained the rationale for balancing the presentation of information and options. Twelve defined “balance”; the definition of “balance” that emerged is as follows: “The complete and unbiased presentation of the relevant options and the information about those options—in content and in format—in a way that enables individuals to process this information without bias”. Ten of the 40 articles reported assessing the balance of the relevant decision aid. All 10 did so exclusively from the users’ or patients’ perspective, using a five-point Likert-type scale

  9. Developing and implementing computerized protocols for standardization of clinical decisions.

    PubMed

    Morris, A H

    2000-03-01

    Humans have only a limited ability to incorporate information in decision making. In certain situations, the mismatch between this limitation and the availability of extensive information contributes to the varying performance and high error rate of clinical decision makers. Variation in clinical practice is due in part to clinicians' poor compliance with guidelines and recommended therapies. The use of decision-support tools is a response to both the information revolution and poor compliance. Computerized protocols used to deliver decision support can be configured to contain much more detail than textual guidelines or paper-based flow diagrams. Such protocols can generate patient-specific instructions for therapy that can be carried out with little interclinician variability; however, clinicians must be willing to modify personal styles of clinical management. Protocols need not be perfect. Several defensible and reasonable approaches are available for clinical problems. However, one of these reasonable approaches must be chosen and incorporated into the protocol to promote consistent clinical decisions. This reasoning is the basis of an explicit method of decision support that allows the rigorous evaluation of interventions, including use of the protocols themselves. Computerized protocols for mechanical ventilation and management of intravenous fluid and hemodynamic factors in patients with the acute respiratory distress syndrome provide case studies for this discussion. PMID:10691588

  10. Better clinical decision making and reducing diagnostic error.

    PubMed

    Croskerry, P; Nimmo, G R

    2011-06-01

    A major amount of our time working in clinical practice involves thinking and decision making. Perhaps it is because decision making is such a commonplace activity that it is assumed we can all make effective decisions. However, this is not the case and the example of diagnostic error supports this assertion. Until quite recently there has been a general nihilism about the ability to change the way that we think, but it is now becoming accepted that if we can think about, and understand, our thinking processes we can improve our decision making, including diagnosis. In this paper we review the dual process model of decision making and highlight ways in which decision making can be improved through the application of this model to our day-to-day practice and by the adoption of de-biasing strategies and critical thinking. PMID:21677922

  11. Medical versus surgical methods of early abortion: protocol for a systematic review and environmental scan of patient decision aids

    PubMed Central

    Donnelly, Kyla Z; Thompson, Rachel

    2015-01-01

    Introduction Currently, we lack understanding of the content, quality and impact of patient decision aids to support decision-making between medical and surgical methods of early abortion. We plan to undertake a systematic review of peer-reviewed literature to identify, appraise and describe the impact of early abortion method decision aids evaluated quantitatively (Part I), and an environmental scan to identify and appraise other early abortion method decision aids developed in the US (Part II). Methods and analysis For the systematic review, we will search PubMed, Cochrane Library, CINAHL, EMBASE and PsycINFO databases for articles describing experimental and observational studies evaluating the impact of an early abortion method decision aid on women's decision-making processes and outcomes. For the environmental scan, we will identify decision aids by supplementing the systematic review search with Internet-based searches and key informant consultation. The primary reviewer will assess all studies and decision aids for eligibility, and a second reviewer will also assess a subset of these. Both reviewers will independently assess risk of bias in the studies and abstract data using a piloted form. Finally, both reviewers will assess decision aid quality using the International Patient Decision Aid Standards criteria, ease of readability using Flesch/Flesch-Kincaid tests, and informational content using directed content analysis. Ethics and dissemination As this study does not involve human subjects, ethical approval will not be sought. We aim to disseminate the findings in a scientific journal, via academic and/or professional conferences and among the broader community to contribute knowledge about current early abortion method decision-making support. Trial registration number This protocol is registered in the International Prospective Register of Systematic Reviews (CRD42015016717). PMID:26173718

  12. Reducing Diagnostic Error with Computer-Based Clinical Decision Support

    ERIC Educational Resources Information Center

    Greenes, Robert A.

    2009-01-01

    Information technology approaches to delivering diagnostic clinical decision support (CDS) are the subject of the papers to follow in the proceedings. These will address the history of CDS and present day approaches (Miller), evaluation of diagnostic CDS methods (Friedman), and the role of clinical documentation in supporting diagnostic decision…

  13. Cognitive Elements in Clinical Decision-Making

    ERIC Educational Resources Information Center

    Dunphy, Bruce C.; Cantwell, Robert; Bourke, Sid; Fleming, Mark; Smith, Bruce; Joseph, K. S.; Dunphy, Stacey L

    2010-01-01

    Physician cognition, metacognition and affect may have an impact upon the quality of clinical reasoning. The purpose of this study was to examine the relationship between measures of physician metacognition and affect and patient outcomes in obstetric practice. Reflective coping (RC), proactive coping, need for cognition (NFC), tolerance for…

  14. Sentinel: An Expert System Decision Aid For A Command, Control And Communications Operator

    NASA Astrophysics Data System (ADS)

    Tobat, Daniel L.; Rogers, Steven K.; Cross, Stephen E.

    1986-03-01

    The growing complexity and quantity of information used in command, control and communications (C3) networks makes it essential to reduce the workload on the operators of these networks. SENTINEL is an expert system which functions as a decision aid for the strategic missile warning officer, using a simulation of a C3 network that involves multiple missile launches and up to 20 countries. In this research, a blackboard model expert system using rule bases and object oriented programming techniques was developed that permits SENTINEL to deal with uncertainty and offer several layers of explanation. SENTINEL deals with uncertainty by using Cohen's endorsement theory and the pattern recognition techniques of feature sets and prototypes. SENTINEL analyzes the causes of reported events into higher level, yet less precise forms to offer an abstract layer of explanation. The results are applicable to further expert system or decision aid development for C3 networks.

  15. Decision-aided sampling frequency offset compensation for reduced-guard-interval coherent optical OFDM systems.

    PubMed

    Wang, Wei; Zhuge, Qunbi; Morsy-Osman, Mohamed; Gao, Yuliang; Xu, Xian; Chagnon, Mathieu; Qiu, Meng; Hoang, Minh Thang; Zhang, Fangyuan; Li, Rui; Plant, David V

    2014-11-01

    We propose a decision-aided algorithm to compensate the sampling frequency offset (SFO) between the transmitter and receiver for reduced-guard-interval (RGI) coherent optical (CO) OFDM systems. In this paper, we first derive the cyclic prefix (CP) requirement for preventing OFDM symbols from SFO induced inter-symbol interference (ISI). Then we propose a new decision-aided SFO compensation (DA-SFOC) algorithm, which shows a high SFO tolerance and reduces the CP requirement. The performance of DA-SFOC is numerically investigated for various situations. Finally, the proposed algorithm is verified in a single channel 28 Gbaud polarization division multiplexing (PDM) RGI CO-OFDM experiment with QPSK, 8 QAM and 16 QAM modulation formats, respectively. Both numerical and experimental results show that the proposed DA-SFOC method is highly robust against the standard SFO in optical fiber transmission. PMID:25401902

  16. A simplified surveillance case definition of AIDS derived from empirical clinical data. The Clinical AIDS Study Group, and the Working Group on AIDS case definition.

    PubMed

    Weniger, B G; Quinhões, E P; Sereno, A B; de Perez, M A; Krebs, J W; Ismael, C; Sion, F S; Ramos-Filho, C F; de Sá, C A; Byers, R H

    1992-12-01

    A clinical AIDS case definition is needed for surveillance in countries where the CDC case definition is not practical. To derive such a definition, we compared 110 HIV-seropositive and 135 randomly selected HIV-seronegative adult medical-ward inpatients in Brazil. Multivariate analysis of clinical signs and symptoms and simple diagnoses resulted in a discriminant function with sensitivity of 89% and specificity of 96% in predicting for AIDS. These data were the empirical basis for a clinical definition of AIDS in adults drafted in a Caracas, Venezuela, workshop sponsored by the Pan American Health Organization. The revised "Caracas" definition presented here requires a positive HIV serology, the absence of cancer or other cause of immunosuppression, plus > or = 10 cumulative points, as follows: Kaposi's sarcoma (10 points); extrapulmonary/noncavitary pulmonary tuberculosis (10); oral candidiasis or hairy leukoplakia (5); cavitary pulmonary/unspecified tuberculosis (5); herpes zoster < 60 years of age (5); CNS dysfunction (5); diarrhea > or = 1 month (2); fever > or = 1 month (2); cachexia or > 10% weight loss (2); asthenia > or = 1 month (2); persistent dermatitis (2); anemia, lymphopenia, or thrombocytopenia (2); persistent cough or any pneumonia except TB (2); and lymphadenopathy > or = 1 cm at > or = 2 noninguinal sites for > or = 1 month (2). This definition has a sensitivity of 95% and a specificity of 100% (91% without HIV serology) when applied to the Brazilian patients in this study. The Caracas definition has been adopted by Brazil, Honduras, and Surinam, and is in validation elsewhere. The use of a reasonably sensitive and specific case definition commensurate with available diagnostic resources should facilitate AIDS surveillance in developing countries. PMID:1453332

  17. A Representation for Gaining Insight into Clinical Decision Models

    PubMed Central

    Jimison, Holly B.

    1988-01-01

    For many medical domains uncertainty and patient preferences are important components of decision making. Decision theory is useful as a representation for such medical models in computer decision aids, but the methodology has typically had poor performance in the areas of explanation and user interface. The additional representation of probabilities and utilities as random variables serves to provide a framework for graphical and text insight into complicated decision models. The approach allows for efficient customization of a generic model that describes the general patient population of interest to a patient- specific model. Monte Carlo simulation is used to calculate the expected value of information and sensitivity for each model variable, thus providing a metric for deciding what to emphasize in the graphics and text summary. The computer-generated explanation includes variables that are sensitive with respect to the decision or that deviate significantly from what is typically observed. These techniques serve to keep the assessment and explanation of the patient's decision model concise, allowing the user to focus on the most important aspects for that patient.

  18. Development of Diagnostic Criteria for Serious Non-AIDS Events in HIV Clinical Trials

    PubMed Central

    Lifson, Alan R.; Belloso, Waldo H.; Davey, Richard T.; Duprez, Daniel; Gatell, Jose M.; Hoy, Jennifer F.; Krum, Eric A.; Nelson, Ray; Pedersen, Court; Perez, George; Price, Richard W.; Prineas, Ronald J.; Rhame, Frank S.; Sampson, James H.; Worley, John

    2011-01-01

    Purpose Serious non-AIDS (SNA) diseases are important causes of morbidity and mortality in the HAART era. We describe development of standard criteria for 12 SNA events for Endpoint Review Committee (ERC) use in START, a multicenter international HIV clinical trial. Methods SNA definitions were developed based upon the following: (1) criteria from a previous trial (SMART), (2) review of published literature, (3) an iterative consultation and review process with the ERC and other content experts, and (4) evaluation of draft SNA criteria using retrospectively collected reports in another trial (ESPRIT). Results Final criteria are presented for acute myocardial infarction, congestive heart failure, coronary artery disease requiring drug treatment, coronary revascularization, decompensated liver disease, deep vein thrombosis, diabetes mellitus, end-stage renal disease, non-AIDS cancer, peripheral arterial disease, pulmonary embolism, and stroke. Of 563 potential SNA events reported in ESPRIT and reviewed by an ERC, 72% met “confirmed” and 13% “probable” criteria. Twenty-eight percent of cases initially reviewed by the ERC required follow-up discussion (adjudication) before a final decision was reached. Conclusion HIV clinical trials that include SNA diseases as clinical outcomes should have standardized SNA definitions to optimize event reporting and validation and should have review by an experienced ERC with opportunities for adjudication. PMID:20974576

  19. Clinical Decision Support Tools: The Evolution of a Revolution.

    PubMed

    Mould, D R; D'Haens, G; Upton, R N

    2016-04-01

    Dashboard systems for clinical decision support integrate data from multiple sources. These systems, the newest in a long line of dose calculators and other decision support tools, utilize Bayesian approaches to fully individualize dosing using information gathered through therapeutic drug monitoring. In the treatment of inflammatory bowel disease patients with infliximab, dashboards may reduce therapeutic failures and treatment costs. The history and future development of modern Bayesian dashboard systems is described. PMID:26785109

  20. Consensus, clinical decision making, and unsettled cases.

    PubMed

    Adams, David M; Winslade, William J

    2011-01-01

    The model of clinical ethics consultation (CEC) defended in the ASBH Core Competencies report has gained significant traction among scholars and healthcare providers. On this model, the aim of CEC is to facilitate deliberative reflection and thereby resolve conflicts and clarify value uncertainty by invoking and pursuing a process of consensus building. It is central to the model that the facilitated consensus falls within a range of allowable options, defined by societal values: prevailing legal requirements, widely endorsed organizational policies, and professional standards of practice and codes of conduct. Moreover, the model stipulates that ethics consultants must refrain from giving substantive recommendations regarding how parties to a moral disagreement in the clinic should evaluate their options. We argue that this model of CEC is incomplete, because it wrongly assumes that what counts as the proper set of allowable options among which the parties are to deliberate will itself always be clearly discernible. We illustrate this problem with a recent case on which one of us consulted-a neonate born with trisomy 18 (T18). We try to show that law, policy, and standards of practice reveal no clear answer to the question posed by the case: namely, whether forgoing gastrostomy tube feedings for a baby with T18 is allowable. We suggest there may be other kinds of cases in which it may simply be unsettled whether a given choice falls within the set of allowable options within which consensus is to be facilitated. What should an ethicist do when confronting such unsettled cases? We agree with the facilitation model that an ethicist should remain neutral among the allowable options, when it is clear what the allowable options are. But, in unsettled cases, the role of a consultant should be expanded to include a process of moral inquiry into what the allowable options should be. We end by raising the issue of whether this means an ethicist should share his or her own

  1. A decision aid for considering indomethacin prophylaxis vs. symptomatic treatment of PDA for extreme low birth weight infants

    PubMed Central

    2011-01-01

    Background Decision Aids (DA) are well established in various fields of medicine. It can improve the quality of decision-making and reduce decisional conflict. In neonatal care, and due to scientific equipoise, neonatologists caring for extreme low birth weight (ELBW) infants are in need to elicit parents' preferences with regard to the use of indomethacin therapy in ELBW infants. We aimed to develop a DA that elicits parents' preferences with regard to indomethacin therapy in ELBW infants. Methods We developed a DA for the use of the indomethacin therapy in ELBW infants according to the Ottawa Decision Support Framework. The development process involved parents, neonatologists, DA developers and decision making experts. A pilot testing with healthy volunteers was conducted through an evaluation questionnaire, a knowledge scale, and a validated decisional conflict scale. Results The DA is a computer-based interactive tool. In the first part, the DA provides information about patent ductus arteriosus (PDA) as a disease, the different treatment options, and the benefits and downsides of using indomethacin therapy in preterm infants. In the second part, it coaches the parent in the decision making process through clarifying values and preferences. Volunteers rated 10 out of 13 items of the DA positively and showed significant improvement on both the knowledge scale (p = 0.008) and the decisional conflict scale (p = 0.008). Conclusion We have developed a computer based DA to assess parental preferences with regard to indomethacin therapy in preterm infants. Future research will involve measurement of parental preferences to guide and augment the clinical decisions in current neonatal practice. PMID:21888665

  2. The thinking doctor: clinical decision making in contemporary medicine.

    PubMed

    Trimble, Michael; Hamilton, Paul

    2016-08-01

    Diagnostic errors are responsible for a significant number of adverse events. Logical reasoning and good decision-making skills are key factors in reducing such errors, but little emphasis has traditionally been placed on how these thought processes occur, and how errors could be minimised. In this article, we explore key cognitive ideas that underpin clinical decision making and suggest that by employing some simple strategies, physicians might be better able to understand how they make decisions and how the process might be optimised. PMID:27481378

  3. DocBot: a novel clinical decision support algorithm.

    PubMed

    Ninh, Andrew Q

    2014-01-01

    DocBot is a web-based clinical decision support system (CDSS) that uses patient interaction and electronic health record analytics to assist medical practitioners with decision making. It consists of two distinct HTML interfaces: a preclinical form wherein a patient inputs symptomatic and demographic information, and an interface wherein a medical practitioner views patient information and analysis. DocBot comprises an improved software architecture that uses patient information, electronic health records, and etiologically relevant binary decision questions (stored in a knowledgebase) to provide medical practitioners with information including, but not limited to medical assessments, treatment plans, and specialist referrals. PMID:25571435

  4. Decision-aided ICI mitigation with time-domain average approximation in CO-OFDM

    NASA Astrophysics Data System (ADS)

    Ren, Hongliang; Cai, Jiaxing; Ye, Xin; Lu, Jin; Cao, Quanjun; Guo, Shuqin; Xue, Lin-lin; Qin, Yali; Hu, Weisheng

    2015-07-01

    We introduce and investigate the feasibility of a novel iterative blind phase noise inter-carrier interference (ICI) mitigation scheme for coherent optical orthogonal frequency division multiplexing (CO-OFDM) systems. The ICI mitigation scheme is performed through the combination of frequency-domain symbol decision-aided estimation and the ICI phase noise time-average approximation. An additional initial decision process with suitable threshold is introduced in order to suppress the decision error symbols. Our proposed ICI mitigation scheme is proved to be effective in removing the ICI for a simulated CO-OFDM with 16-QAM modulation format. With the slightly high computational complexity, it outperforms the time-domain average blind ICI (Avg-BL-ICI) algorithm at a relatively wide laser line-width and high OSNR.

  5. An overview and discussion of the Patient-Centered Outcomes Research Institute's decision aid portfolio.

    PubMed

    Gayer, Christopher C; Crowley, Matthew J; Lawrence, William F; Gierisch, Jennifer M; Gaglio, Bridget; Williams, John W; Myers, Evan R; Kendrick, Amy; Slutsky, Jean; Sanders, Gillian D

    2016-07-01

    Decision aids (DAs) help patients make informed healthcare decisions in a manner consistent with their values and preferences. Despite their promise, DAs developed with public research dollars are not being implemented and adopted in real-world patient care settings at a rate consistent with which they are being developed. To appraise the sum of the parts of the portfolio and create a strategic imperative surrounding future funding, the Patient-Centered Outcomes Research Institute (PCORI) tasked the Duke Evidence Synthesis Group with evaluating its DA portfolio. This paper describes PCORI's portfolio of DAs according to the Duke Evidence Synthesis Group's analysis in the context of PCORI's mission and the field of decision science. The results revealed a diversity within PCORI's portfolio of funded DA projects. Findings support the movement toward more rigorous DA development, assessment and maintenance. PCORI's funding priorities related to DAs are clarified and comparative questions of interest are posed. PMID:27298206

  6. Evaluating a Web-Based MMR Decision Aid to Support Informed Decision-Making by UK Parents: A Before-and-After Feasibility Study

    ERIC Educational Resources Information Center

    Jackson, Cath; Cheater, Francine M.; Peacock, Rose; Leask, Julie; Trevena, Lyndal

    2010-01-01

    Objective: The objective of this feasibility study was to evaluate the acceptability and potential effectiveness of a web-based MMR decision aid in supporting informed decision-making for the MMR vaccine. Design: This was a prospective before-and-after evaluation. Setting: Thirty parents of children eligible for MMR vaccination were recruited from…

  7. Semantic Interoperability in Clinical Decision Support Systems: A Systematic Review.

    PubMed

    Marco-Ruiz, Luis; Bellika, Johan Gustav

    2015-01-01

    The interoperability of Clinical Decision Support (CDS) systems with other health information systems has become one of the main limitations to their broad adoption. Semantic interoperability must be granted in order to share CDS modules across different health information systems. Currently, numerous standards for different purposes are available to enable the interoperability of CDS systems. We performed a literature review to identify and provide an overview of the available standards that enable CDS interoperability in the areas of clinical information, decision logic, terminology, and web service interfaces. PMID:26262260

  8. Developing a quality criteria framework for patient decision aids: online international Delphi consensus process

    PubMed Central

    Elwyn, Glyn; O'Connor, Annette; Stacey, Dawn; Volk, Robert; Edwards, Adrian; Coulter, Angela; Thomson, Richard; Barratt, Alexandra; Barry, Michael; Bernstein, Steven; Butow, Phyllis; Clarke, Aileen; Entwistle, Vikki; Feldman-Stewart, Deb; Holmes-Rovner, Margaret; Llewellyn-Thomas, Hilary; Moumjid, Nora; Mulley, Al; Ruland, Cornelia; Sepucha, Karen; Sykes, Alan; Whelan, Tim

    2006-01-01

    Objective To develop a set of quality criteria for patient decision support technologies (decision aids). Design and setting Two stage web based Delphi process using online rating process to enable international collaboration. Participants Individuals from four stakeholder groups (researchers, practitioners, patients, policy makers) representing 14 countries reviewed evidence summaries and rated the importance of 80 criteria in 12 quality domains ona1to9 scale. Second round participants received feedback from the first round and repeated their assessment of the 80 criteria plus three new ones. Main outcome measure Aggregate ratings for each criterion calculated using medians weighted to compensate for different numbers in stakeholder groups; criteria rated between 7 and 9 were retained. Results 212 nominated people were invited to participate. Of those invited, 122 participated in the first round (77 researchers, 21 patients, 10 practitioners, 14 policy makers); 104/122 (85%) participated in the second round. 74 of 83 criteria were retained in the following domains: systematic development process (9/9 criteria); providing information about options (13/13); presenting probabilities (11/13); clarifying and expressing values (3/3); using patient stories (2/5); guiding/coaching (3/5); disclosing conflicts of interest (5/5); providing internet access (6/6); balanced presentation of options (3/3); using plain language (4/6); basing information on up to date evidence (7/7); and establishing effectiveness (8/8). Conclusions Criteria were given the highest ratings where evidence existed, and these were retained. Gaps in research were highlighted. Developers, users, and purchasers of patient decision aids now have a checklist for appraising quality. An instrument for measuring quality of decision aids is being developed. PMID:16908462

  9. The role of emotions in clinical reasoning and decision making.

    PubMed

    Marcum, James A

    2013-10-01

    What role, if any, should emotions play in clinical reasoning and decision making? Traditionally, emotions have been excluded from clinical reasoning and decision making, but with recent advances in cognitive neuropsychology they are now considered an important component of them. Today, cognition is thought to be a set of complex processes relying on multiple types of intelligences. The role of mathematical logic (hypothetico-deductive thinking) or verbal linguistic intelligence in cognition, for example, is well documented and accepted; however, the role of emotional intelligence has received less attention-especially because its nature and function are not well understood. In this paper, I argue for the inclusion of emotions in clinical reasoning and decision making. To that end, developments in contemporary cognitive neuropsychology are initially examined and analyzed, followed by a review of the medical literature discussing the role of emotions in clinical practice. Next, a published clinical case is reconstructed and used to illustrate the recognition and regulation of emotions played during a series of clinical consultations, which resulted in a positive medical outcome. The paper's main thesis is that emotions, particularly in terms of emotional intelligence as a practical form of intelligence, afford clinical practitioners a robust cognitive resource for providing quality medical care. PMID:23975905

  10. Improving Congestive Heart Failure Care with a Clinical Decision Unit.

    PubMed

    Carpenter, Jo Ellen; Short, Nancy; Williams, Tracy E; Yandell, Ben; Bowers, Margaret T

    2015-01-01

    Evidence supporting the development of Clinical Decision Units (CDUs) to impact congestive heart failure readmission rates comes from several categories of the literature. In this study, a pre-post design with comparison group was used to evaluate the impact of the CDU. Early changes in clinical and financial outcome indicators are encouraging. Nurse leaders seek ways to improve clinical outcomes while managing the current financially challenging environment. Implementation of a CDU provides many opportunities for nurse leaders to positively impact clinical care and financial performance within their institutions. PMID:26625578

  11. A study on spatial decision support systems for HIV/AIDS prevention based on COM GIS technology

    NASA Astrophysics Data System (ADS)

    Yang, Kun; Luo, Huasong; Peng, Shungyun; Xu, Quanli

    2007-06-01

    Based on the deeply analysis of the current status and the existing problems of GIS technology applications in Epidemiology, this paper has proposed the method and process for establishing the spatial decision support systems of AIDS epidemic prevention by integrating the COM GIS, Spatial Database, GPS, Remote Sensing, and Communication technologies, as well as ASP and ActiveX software development technologies. One of the most important issues for constructing the spatial decision support systems of AIDS epidemic prevention is how to integrate the AIDS spreading models with GIS. The capabilities of GIS applications in the AIDS epidemic prevention have been described here in this paper firstly. Then some mature epidemic spreading models have also been discussed for extracting the computation parameters. Furthermore, a technical schema has been proposed for integrating the AIDS spreading models with GIS and relevant geospatial technologies, in which the GIS and model running platforms share a common spatial database and the computing results can be spatially visualized on Desktop or Web GIS clients. Finally, a complete solution for establishing the decision support systems of AIDS epidemic prevention has been offered in this paper based on the model integrating methods and ESRI COM GIS software packages. The general decision support systems are composed of data acquisition sub-systems, network communication sub-systems, model integrating sub-systems, AIDS epidemic information spatial database sub-systems, AIDS epidemic information querying and statistical analysis sub-systems, AIDS epidemic dynamic surveillance sub-systems, AIDS epidemic information spatial analysis and decision support sub-systems, as well as AIDS epidemic information publishing sub-systems based on Web GIS.

  12. Clinical evaluation of the DIABETES expert system for decision support by multiple regimen insulin dose adjustment.

    PubMed

    Ambrosiadou, B V; Goulis, D G; Pappas, C

    1996-01-01

    A performance evaluation of the DIABETES rule-based expert system prototype for clinical decision making is presented. The system facilitates multiple insulin regimen and dose adjustment of insulin dependent Type I or II diabetic patients. The study was performed on 600 subjects from two diabetological centres and three diabetological offices of Greek hospitals. The responses of the attendant medical doctors were compared with those of the DIABETES system, with the aid of a specifically devised valuation range (0-5 degrees, 0 indicating full agreement and 5 full disagreement). The capabilities and the weakness of the system in terms of its practicality for decision support in assisting therapy of diabetes mellitus by blood glucose monitoring and subsequent insulin dose adjustment are discussed. The potential benefits of decision support systems for diabetic patient management are seen to be the cost saving they provide in terms of man-hours of verbal instruction by medical experts, the support in terms of objective and consistent decision making, as well as the recording of medical knowledge in the ill-defined field of insulin administration, thus aiding the education and training of medical personnel. PMID:8646833

  13. A risk-based decision-aiding tool for waste disposal

    SciTech Connect

    Weiner, R.F.; Reiser, A.S.; Elcock, C.G.; Nevins, S.

    1997-10-01

    N-CART (the National Spent Nuclear Fuel Program Cost Analysis and Risk Tool) is being developed to aid in low-risk, cost-effective, timely management of radioactive waste and spent nuclear fuel, and can therefore be used in management of mixed waste. N-CART provides evaluation of multiple alternatives and presents the consequences of proposed waste management activities in a clear and concise format. N-CART`s decision-aiding analyses include comparisons and sensitivity analyses of multiple alternatives and allows the user to perform quick turn-around {open_quotes}what if{close_quotes} studies to investigate various scenarios. Uncertainties in data (such as cost and schedule of various activities) are represented as distributions. N-CART centralizes documentation of the bases of program alternatives and program decisions, thereby supporting responses to stakeholders concerns. The initial N-CART design considers regulatory requirements, costs, and schedules for alternative courses of action. The final design will include risks (public health, occupational, economic, scheduling), economic benefits, and the impacts of secondary waste generation. An optimization tool is being incorporated that allows the user to specify the relative importance of cost, time risks, and other bases for decisions. The N-CART prototype can be used to compare the costs and schedules of disposal alternatives for mixed low-level radioactive waste (MLLW) and greater-than-Class-C (GTCC) waste, as well as spent nuclear fuel (SNF) and related scrap material.

  14. Computer-aided diagnosis and artificial intelligence in clinical imaging.

    PubMed

    Shiraishi, Junji; Li, Qiang; Appelbaum, Daniel; Doi, Kunio

    2011-11-01

    Computer-aided diagnosis (CAD) is rapidly entering the radiology mainstream. It has already become a part of the routine clinical work for the detection of breast cancer with mammograms. The computer output is used as a "second opinion" in assisting radiologists' image interpretations. The computer algorithm generally consists of several steps that may include image processing, image feature analysis, and data classification via the use of tools such as artificial neural networks (ANN). In this article, we will explore these and other current processes that have come to be referred to as "artificial intelligence." One element of CAD, temporal subtraction, has been applied for enhancing interval changes and for suppressing unchanged structures (eg, normal structures) between 2 successive radiologic images. To reduce misregistration artifacts on the temporal subtraction images, a nonlinear image warping technique for matching the previous image to the current one has been developed. Development of the temporal subtraction method originated with chest radiographs, with the method subsequently being applied to chest computed tomography (CT) and nuclear medicine bone scans. The usefulness of the temporal subtraction method for bone scans was demonstrated by an observer study in which reading times and diagnostic accuracy improved significantly. An additional prospective clinical study verified that the temporal subtraction image could be used as a "second opinion" by radiologists with negligible detrimental effects. ANN was first used in 1990 for computerized differential diagnosis of interstitial lung diseases in CAD. Since then, ANN has been widely used in CAD schemes for the detection and diagnosis of various diseases in different imaging modalities, including the differential diagnosis of lung nodules and interstitial lung diseases in chest radiography, CT, and position emission tomography/CT. It is likely that CAD will be integrated into picture archiving and

  15. Primary Care Provider Views About Usefulness and Dissemination of a Web-Based Depression Treatment Information Decision Aid

    PubMed Central

    Westmacott, Robin; Walker, John R; Vardanyan, Gohar

    2016-01-01

    Background Decisions related to mental health are often complex, problems often remain undetected and untreated, information unavailable or not used, and treatment decisions frequently not informed by best practice or patient preferences. Objective The objective of this paper was to obtain the opinions of health professionals working in primary health care settings about a Web-based information decision aid (IDA) for patients concerning treatment options for depression and the dissemination of the resources in primary care settings. Methods Participants were recruited from primary care clinics in Winnipeg and Ottawa, Canada, and included 48 family physicians, nurses, and primary care staff. The study design was a qualitative framework analytic approach of 5 focus groups. Focus groups were conducted during regular staff meetings, were digitally recorded, and transcripts created. Analysis involved a content and theme analysis. Results Seven key themes emerged including the key role of the primary care provider, common questions about treatments, treatment barriers, sources of patient information, concern about quality and quantity of available information, positive opinions about the IDA, and disseminating the IDA. The most common questions mentioned were about medication and side effects and alternatives to medication. Patients have limited access to alternative treatment options owing to cost and availability. Conclusions Practitioners evaluated the IDA positively. The resources were described as useful, supportive of providers’ messages, and accessible for patients. There was unanimous consensus that information needs to be available electronically through the Internet. PMID:27277709

  16. The relationship between patient data and pooled clinical management decisions.

    PubMed

    Ludbrook, G I; O'Loughlin, E J; Corcoran, T B; Grant, C

    2013-01-01

    A strong relationship between patient data and preoperative clinical decisions could potentially be used to support clinical decisions in preoperative management. The aim of this exploratory study was to determine the relationship between key patient data and pooled clinical opinions on management. In a previous study, panels of anaesthetists compared the quality of computer-assisted patient health assessments with outpatient consultations and made decisions on the need for preoperative tests, no preoperative outpatient assessment, possible postoperative intensive care unit/high dependency unit requirements and aspiration prophylaxis. In the current study, the relationship between patient data and these decisions was examined using binomial logistic regression analysis. Backward stepwise regression was used to identify independent predictors of each decision (at P >0.15), which were then incorporated into a predictive model. The number of factors related to each decision varied: blood picture (four factors), biochemistry (six factors), coagulation studies (three factors), electrocardiography (eight factors), chest X-ray (seven factors), preoperative outpatient assessment (17 factors), intensive care unit requirement (eight factors) and aspiration prophylaxis (one factor). The factor types also varied, but included surgical complexity, age, gender, number of medications or comorbidities, body mass index, hypertension, central nervous system condition, heart disease, sleep apnoea, smoking, persistent pain and stroke. Models based on these relationships usually demonstrated good sensitivity and specificity, with receiver operating characteristics in the following areas under curve: blood picture (0.75), biochemistry (0.86), coagulation studies (0.71), electrocardiography (0.90), chest X-ray (0.85), outpatient assessment (0.85), postoperative intensive care unit requirement (0.88) and aspiration prophylaxis (0.85). These initial results suggest modelling of patient

  17. Thinking Processes Used by Nurses in Clinical Decision Making.

    ERIC Educational Resources Information Center

    Higuchi, Kathryn A. Smith; Donald, Janet G.

    2002-01-01

    Interviews with eight medical and surgical nurses and audits of patient charts investigated clinical decision-making processes. Predominant thinking processes were description of facts, selection of information, inference, syntheses, and verification, with differences between medical and surgical specialties. Exemplars of thinking processes…

  18. Using Clinical Decision Support Software in Health Insurance Company

    NASA Astrophysics Data System (ADS)

    Konovalov, R.; Kumlander, Deniss

    This paper proposes the idea to use Clinical Decision Support software in Health Insurance Company as a tool to reduce the expenses related to Medication Errors. As a prove that this class of software will help insurance companies reducing the expenses, the research was conducted in eight hospitals in United Arab Emirates to analyze the amount of preventable common Medication Errors in drug prescription.

  19. Integrating complex business processes for knowledge-driven clinical decision support systems.

    PubMed

    Kamaleswaran, Rishikesan; McGregor, Carolyn

    2012-01-01

    This paper presents in detail the component of the Complex Business Process for Stream Processing framework that is responsible for integrating complex business processes to enable knowledge-driven Clinical Decision Support System (CDSS) recommendations. CDSSs aid the clinician in supporting the care of patients by providing accurate data analysis and evidence-based recommendations. However, the incorporation of a dynamic knowledge-management system that supports the definition and enactment of complex business processes and real-time data streams has not been researched. In this paper we discuss the process web service as an innovative method of providing contextual information to a real-time data stream processing CDSS. PMID:23366138

  20. Adoption of Clinical Decision Support in Multimorbidity: A Systematic Review

    PubMed Central

    Arguello Casteleiro, Mercedes; Ainsworth, John; Buchan, Iain

    2015-01-01

    Background Patients with multiple conditions have complex needs and are increasing in number as populations age. This multimorbidity is one of the greatest challenges facing health care. Having more than 1 condition generates (1) interactions between pathologies, (2) duplication of tests, (3) difficulties in adhering to often conflicting clinical practice guidelines, (4) obstacles in the continuity of care, (5) confusing self-management information, and (6) medication errors. In this context, clinical decision support (CDS) systems need to be able to handle realistic complexity and minimize iatrogenic risks. Objective The aim of this review was to identify to what extent CDS is adopted in multimorbidity. Methods This review followed PRISMA guidance and adopted a multidisciplinary approach. Scopus and PubMed searches were performed by combining terms from 3 different thesauri containing synonyms for (1) multimorbidity and comorbidity, (2) polypharmacy, and (3) CDS. The relevant articles were identified by examining the titles and abstracts. The full text of selected/relevant articles was analyzed in-depth. For articles appropriate for this review, data were collected on clinical tasks, diseases, decision maker, methods, data input context, user interface considerations, and evaluation of effectiveness. Results A total of 50 articles were selected for the full in-depth analysis and 20 studies were included in the final review. Medication (n=10) and clinical guidance (n=8) were the predominant clinical tasks. Four studies focused on merging concurrent clinical practice guidelines. A total of 17 articles reported their CDS systems were knowledge-based. Most articles reviewed considered patients’ clinical records (n=19), clinical practice guidelines (n=12), and clinicians’ knowledge (n=10) as contextual input data. The most frequent diseases mentioned were cardiovascular (n=9) and diabetes mellitus (n=5). In all, 12 articles mentioned generalist doctor(s) as the

  1. The Relationship Between the Clinical Orientation of Substance Abuse Professionals and Their Clinical Decisions

    ERIC Educational Resources Information Center

    Toriello, Paul J.; Leierer, Stephen J.

    2005-01-01

    In this study, the authors examined the relationship between the clinical orientations of substance abuse professionals (SAPs) and their clinical decisions. Cluster analysis grouped a sample of 245 SAPs on two clinical orientations that differed in their relative endorsement of traditional versus contemporary substance abuse counseling processes…

  2. Sound Exposure Calculations for Transient Events and Other Improvements to an Acoustical Tactical Decision Aid

    NASA Astrophysics Data System (ADS)

    Wilson, D. K.; Nguyen, V. A.; Srour, Nassy; Noble, John

    2002-08-01

    Recent enhancements to an acoustical tactical decision aid, called the Acoustic Battlefield Aid (ABFA), are described. ABFA predicts the effects of the atmosphere and local terrain on the performance of acoustical sensors, using advanced sound propagation models. Among the enhancements are: (1) sound-exposure and detection calculations for moving and transient sources, (2) new display capabilities including loading of vector-map features from CDs, (3) an interactive menu for entering and managing acoustical and meteorological ground properties, (4) initialization of runs from field trials stored in the U.S. Army Research Laboratory's Automatic Target Recognition Acoustic Database, (5) a Java-based interface to numerical weather forecast data over the Internet, and (6) creation of a Windows executable version using the MATLAB compiler.

  3. Physician Attitudes toward Adopting Genome-Guided Prescribing through Clinical Decision Support.

    PubMed

    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

  4. Evaluation of a Dispatcher's Route Optimization Decision Aid to Avoid Aviation Weather Hazards

    NASA Technical Reports Server (NTRS)

    Dorneich, Michael C.; Olofinboba, Olu; Pratt, Steve; Osborne, Dannielle; Feyereisen, Thea; Latorella, Kara

    2003-01-01

    This document describes the results and analysis of the formal evaluation plan for the Honeywell software tool developed under the NASA AWIN (Aviation Weather Information) 'Weather Avoidance using Route Optimization as a Decision Aid' project. The software tool aims to provide airline dispatchers with a decision aid for selecting optimal routes that avoid weather and other hazards. This evaluation compares and contrasts route selection performance with the AWIN tool to that of subjects using a more traditional dispatcher environment. The evaluation assesses gains in safety, in fuel efficiency of planned routes, and in time efficiency in the pre-flight dispatch process through the use of the AWIN decision aid. In addition, we are interested in how this AWIN tool affects constructs that can be related to performance. The construct of Situation Awareness (SA), workload, trust in an information system, and operator acceptance are assessed using established scales, where these exist, as well as through the evaluation of questionnaire responses and subject comments. The intention of the experiment is to set up a simulated operations area for the dispatchers to work in. They will be given scenarios in which they are presented with stored company routes for a particular city-pair and aircraft type. A diverse set of external weather information sources is represented by a stand-alone display (MOCK), containing the actual historical weather data typically used by dispatchers. There is also the possibility of presenting selected weather data on the route visualization tool. The company routes have not been modified to avoid the weather except in the case of one additional route generated by the Honeywell prototype flight planning system. The dispatcher will be required to choose the most appropriate and efficient flight plan route in the displayed weather conditions. The route may be modified manually or may be chosen from those automatically displayed.

  5. Development of a personalized decision aid for breast cancer risk reduction and management

    PubMed Central

    2014-01-01

    Background Breast cancer risk reduction has the potential to decrease the incidence of the disease, yet remains underused. We report on the development a web-based tool that provides automated risk assessment and personalized decision support designed for collaborative use between patients and clinicians. Methods Under Institutional Review Board approval, we evaluated the decision tool through a patient focus group, usability testing, and provider interviews (including breast specialists, primary care physicians, genetic counselors). This included demonstrations and data collection at two scientific conferences (2009 International Shared Decision Making Conference, 2009 San Antonio Breast Cancer Symposium). Results Overall, the evaluations were favorable. The patient focus group evaluations and usability testing (N = 34) provided qualitative feedback about format and design; 88% of these participants found the tool useful and 94% found it easy to use. 91% of the providers (N = 23) indicated that they would use the tool in their clinical setting. Conclusion BreastHealthDecisions.org represents a new approach to breast cancer prevention care and a framework for high quality preventive healthcare. The ability to integrate risk assessment and decision support in real time will allow for informed, value-driven, and patient-centered breast cancer prevention decisions. The tool is being further evaluated in the clinical setting. PMID:24422989

  6. Dynamic clinical data mining: search engine-based decision support.

    PubMed

    Celi, Leo Anthony; Zimolzak, Andrew J; Stone, David J

    2014-01-01

    The research world is undergoing a transformation into one in which data, on massive levels, is freely shared. In the clinical world, the capture of data on a consistent basis has only recently begun. We propose an operational vision for a digitally based care system that incorporates data-based clinical decision making. The system would aggregate individual patient electronic medical data in the course of care; query a universal, de-identified clinical database using modified search engine technology in real time; identify prior cases of sufficient similarity as to be instructive to the case at hand; and populate the individual patient's electronic medical record with pertinent decision support material such as suggested interventions and prognosis, based on prior outcomes. Every individual's course, including subsequent outcomes, would then further populate the population database to create a feedback loop to benefit the care of future patients. PMID:25600664

  7. Dynamic Clinical Data Mining: Search Engine-Based Decision Support

    PubMed Central

    Zimolzak, Andrew J; Stone, David J

    2014-01-01

    The research world is undergoing a transformation into one in which data, on massive levels, is freely shared. In the clinical world, the capture of data on a consistent basis has only recently begun. We propose an operational vision for a digitally based care system that incorporates data-based clinical decision making. The system would aggregate individual patient electronic medical data in the course of care; query a universal, de-identified clinical database using modified search engine technology in real time; identify prior cases of sufficient similarity as to be instructive to the case at hand; and populate the individual patient's electronic medical record with pertinent decision support material such as suggested interventions and prognosis, based on prior outcomes. Every individual's course, including subsequent outcomes, would then further populate the population database to create a feedback loop to benefit the care of future patients. PMID:25600664

  8. A multi-criteria decision aid methodology to design electric vehicles public charging networks

    NASA Astrophysics Data System (ADS)

    Raposo, João; Rodrigues, Ana; Silva, Carlos; Dentinho, Tomaz

    2015-05-01

    This article presents a new multi-criteria decision aid methodology, dynamic-PROMETHEE, here used to design electric vehicle charging networks. In applying this methodology to a Portuguese city, results suggest that it is effective in designing electric vehicle charging networks, generating time and policy based scenarios, considering offer and demand and the city's urban structure. Dynamic-PROMETHE adds to the already known PROMETHEE's characteristics other useful features, such as decision memory over time, versatility and adaptability. The case study, used here to present the dynamic-PROMETHEE, served as inspiration and base to create this new methodology. It can be used to model different problems and scenarios that may present similar requirement characteristics.

  9. Comparing the effect of a decision aid plus patient navigation with usual care on colorectal cancer screening completion in vulnerable populations: study protocol for a randomized controlled trial

    PubMed Central

    2014-01-01

    Background Screening can reduce colorectal cancer (CRC) incidence and mortality. However, screening is underutilized in vulnerable patient populations, particularly among Latinos. Patient-directed decision aids can increase CRC screening knowledge, self-efficacy, and intent; however, their effect on actual screening test completion tends to be modest. This is probably because decision aids do not address some of the patient-specific barriers that prevent successful completion of CRC screening in these populations. These individual barriers might be addressed though patient navigation interventions. This study will test a combined decision aid and patient navigator intervention on screening completion in diverse populations of vulnerable primary care patients. Methods/Design We will conduct a multisite, randomized controlled trial with patient-level randomization. Planned enrollment is 300 patients aged 50 to 75 years at average CRC risk presenting for appointments at two primary clinics in North Carolina and New Mexico. Intervention participants will view a video decision aid immediately before the clinic visit. The 14 to 16 minute video presents information about fecal occult blood tests and colonoscopy and will be viewed on a portable computer tablet in English or Spanish. Clinic-based patient navigators are bilingual and bicultural and will provide both face-to-face and telephone-based navigation. Control participants will view an unrelated food safety video and receive usual care. The primary outcome is completion of a CRC screening test at six months. Planned subgroup analyses include examining intervention effectiveness in Latinos, who will be oversampled. Secondarily, the trial will evaluate the intervention effects on knowledge of CRC screening, self-efficacy, intent, and patient-provider communication. The study will also examine whether patient ethnicity, acculturation, language preference, or health insurance status moderate the intervention effect on

  10. How does a decision aid help people decide whether to disclose a mental health problem to employers? Qualitative interview study.

    PubMed

    Lassman, F; Henderson, R Claire; Dockery, L; Clement, S; Murray, J; Bonnington, O; Farrelly, S; Thornicroft, G

    2015-06-01

    Background Decisions about whether to disclose mental health problems to employers are complex, with potential personal, employment and legal implications. Decision aids are evidence based tools, designed to help individuals make specific choices between treatment options. We previously developed a decision aid-Conceal Or ReveAL (CORAL)-to assist service users with decisions about disclosure to employers. As part of a mixed methods exploratory RCT, which demonstrated that the CORAL decision aid was effective in reducing decisional conflict, we aimed to explore its mechanism of action and to optimise the intervention for a future full scale trial. Methods In depth interviews were conducted with individuals receiving vocational support from a mental health trust and participating in the intervention arm of the pilot trial. Thematic analysis was conducted to identify the main themes relating to participants' perceptions of the CORAL decision aid. Results Thirteen participants were interviewed and five main themes were identified: sense of self and values; sense of control; anticipation of disclosure; experience of disclosure; and mechanism of action of the decision aid. Conclusions Data from our 13 participants suggest that the CORAL decision aid acts on several dimensions of decisional conflict: clarifying the pros and cons of different choices; increasing knowledge; structuring the decision making process; and clarifying needs and values. The current study indicated that it would be most effective when delivered by a professional well versed in employment and mental health matters such as a vocational adviser. The need for employers and policymakers to reduce the negative impact of disclosure is also highlighted. PMID:25427673

  11. A decision aid regarding long-term tube feeding targeting substitute decision makers for cognitively impaired older persons in Japan: A small-scale before-and-after study

    PubMed Central

    2014-01-01

    Background In Japan, there is no decision-making guide regarding long-term tube feeding that specifically targets individuals making decisions on behalf of cognitively impaired older persons (substitute decision makers). The objective of this study was to describe the development and evaluation of such a decision aid. Methods In this before-and-after study, participants comprised substitute decision makers for 13 cognitively impaired inpatients aged 65 years and older who were being considered for placement of a percutaneous endoscopic gastrostomy tube in acute care hospitals and mixed-care hospitals in Japan. Questionnaires were used to compare substitute decision makers’ knowledge, decisional conflict, and predisposition regarding feeding tube placement before and after exposure to a decision aid. The acceptability of the decision aid was also assessed. Paired t-tests were used to compare participants’ knowledge and decisional conflict scores before and after using the decision aid. Results Substitute decision makers showed significantly increased knowledge (P < .001) and decreased decisional conflict (P < .01) regarding long-term tube feeding after using the decision aid. All substitute decision makers found the decision aid helpful and acceptable. Conclusions The decision aid facilitated the decision-making process of substitute decision makers by decreasing decisional conflict and increasing knowledge. PMID:24495735

  12. Improving Decision Making about Genetic Testing in the Clinic: An Overview of Effective Knowledge Translation Interventions

    PubMed Central

    Légaré, France; Robitaille, Hubert; Gane, Claire; Hébert, Jessica; Labrecque, Michel; Rousseau, François

    2016-01-01

    Background Knowledge translation (KT) interventions are attempts to change behavior in keeping with scientific evidence. While genetic tests are increasingly available to healthcare consumers in the clinic, evidence about their benefits is unclear and decisions about genetic testing are thus difficult for all parties. Objective We sought to identify KT interventions that involved decisions about genetic testing in the clinical context and to assess their effectiveness for improving decision making in terms of behavior change, increased knowledge and wellbeing. Methods We searched for trials assessing KT interventions in the context of genetic testing up to March 2014 in all systematic reviews (n = 153) published by two Cochrane review groups: Effective Practice and Organisation of Care (EPOC) and Consumers and Communication. Results We retrieved 2473 unique trials of which we retained only 28 (1%). Two EPOC reviews yielded two trials of KT interventions: audit and feedback (n = 1) and educational outreach (n = 1). Both targeted health professionals and the KT intervention they assessed was found to be effective. Four Consumers and Communication reviews yielded 26 trials: decision aids (n = 15), communication of DNA-based disease risk estimates (n = 7), personalized risk communication (n = 3) and mobile phone messaging (n = 1). Among these, 25 trials targeted only health consumers or patients and the KT interventions were found to be effective in four trials, partly effective in seven, and ineffective in four. Lastly, only one trial targeted both physicians and patients and was found to be effective. Conclusions More research on the effectiveness of KT interventions regarding genetic testing in the clinical context may contribute to patients making informed value-based decisions and drawing the maximum benefit from clinical applications of genetic and genomic innovations. PMID:26938633

  13. Perceived Barriers and Facilitators of Using a Web-Based Interactive Decision Aid for Colorectal Cancer Screening in Community Practice Settings: Findings From Focus Groups With Primary Care Clinicians and Medical Office Staff

    PubMed Central

    2013-01-01

    Background Information is lacking about the capacity of those working in community practice settings to utilize health information technology for colorectal cancer screening. Objective To address this gap we asked those working in community practice settings to share their perspectives about how the implementation of a Web-based patient-led decision aid might affect patient-clinician conversations about colorectal cancer screening and the day-to-day clinical workflow. Methods Five focus groups in five community practice settings were conducted with 8 physicians, 1 physician assistant, and 18 clinic staff. Focus groups were organized using a semistructured discussion guide designed to identify factors that mediate and impede the use of a Web-based decision aid intended to clarify patient preferences for colorectal cancer screening and to trigger shared decision making during the clinical encounter. Results All physicians, the physician assistant, and 8 of the 18 clinic staff were active participants in the focus groups. Clinician and staff participants from each setting reported a belief that the Web-based patient-led decision aid could be an informative and educational tool; in all but one setting participants reported a readiness to recommend the tool to patients. The exception related to clinicians from one clinic who described a preference for patients having fewer screening choices, noting that a colonoscopy was the preferred screening modality for patients in their clinic. Perceived barriers to utilizing the Web-based decision aid included patients’ lack of Internet access or low computer literacy, and potential impediments to the clinics’ daily workflow. Expanding patients’ use of an online decision aid that is both easy to access and understand and that is utilized by patients outside of the office visit was described as a potentially efficient means for soliciting patients’ screening preferences. Participants described that a system to link the

  14. Cultural and Linguistic Adaptation of a Multimedia Colorectal Cancer Screening Decision Aid for Spanish Speaking Latinos

    PubMed Central

    Ko, Linda K.; Reuland, Daniel; Jolles, Monica; Clay, Rebecca; Pignone, Michael

    2014-01-01

    As the United States becomes more linguistically and culturally diverse, there is a need for effective health communication interventions that target diverse and most vulnerable populations. Latinos also have the lowest colorectal (CRC) screening rates of any ethnic group in the U.S. To address such disparities, health communication interventionists are often faced with the challenge to adapt existing interventions from English into Spanish in a way that retains essential elements of the original intervention while also addressing the linguistic needs and cultural perspectives of the target population. We describe the conceptual framework, context, rationale, methods, and findings of a formative research process used in creating a Spanish language version of an evidenced-based (English language) multimedia CRC screening decision aid. Our multi-step process included identification of essential elements of the existing intervention, literature review, assessment of the regional context and engagement of key stakeholders, and solicitation of direct input from target population. We integrated these findings in the creation of the new adapted intervention. We describe how we used this process to identify and integrate socio-cultural themes such as personalism (personalismo), familism (familismo), fear (miedo), embarrassment (verguenza), power distance (respeto), machismo, and trust (confianza) into the Spanish language decision aid. PMID:24328496

  15. Ethical decision-making challenges in clinical practice.

    PubMed

    Horowitz, Beverly P

    2003-01-01

    Today's health care environment requires professionals to pay increasing attention to efficiencies and functional outcomes. Today's patients are hospitalized for short stays, and those needing rehabilitation often have multiple diagnoses and goals. Cost effective strategies support fast paced occupational therapy programs and professionals who are adept multi-task specialists and problem solvers. Practitioners have multiple resources and strategies for clinical reasoning and decision-making; however, ethical decision-making requires use of additional resources and strategies. This paper provides strategies to examine everyday ethical problems and dilemmas, including application of The American Occupational Therapy's Code of Ethics, to support ethical decision-making in practice settings (American Occupational Therapy Association, 2000a). PMID:23930704

  16. The effects of clinical decision making on nurse practitioners' clinical productivity.

    PubMed

    Chumbler, N R; Geller, J M; Weier, A W

    2000-09-01

    The degree of clinical decision making and clinical productivity among nurse practitioners (NPs) is of great interest to policy makers and planners involved in providing appropriate outpatient primary care services. The authors performed a statewide mailed survey of all NPs practicing either full-time or part-time in Wisconsin (response rate of 72.1%) to address the following research questions: Do the demographic characteristics, practice attributes, and primary practice settings of NPs impact their level of clinical decision making (e.g., the autonomy to order laboratory and radiological tests or to refer a patient to a physician specialist other than their collaborating physician)? Do NPs' levels of clinical decision making correlate with their outpatient clinical productivity, adjusting for demographic characteristics, practice attributes, and primary practice settings? The multiple linear regression results indicated that having more years in practice as an NP, practicing in the family specialty area (vs. a combined other category, which included pediatrics, acute care, geriatrics, neonatal, and school), treating patients according to clinical guidelines, practicing in settings with a fewer number of physicians, and practicing in a multispecialty group practice versus a single-specialty group practice were associated with greater levels of clinical decision making. However, NPs who primarily practiced in a hospital/facility-based practice, as compared with a single-specialty group practice, had lower levels of clinical decision making. After adjusting for demographic characteristics, practice attributes, and primary practice settings, NPs with greater clinical decision-making authority had greater outpatient clinical productivity. The conclusions discuss the policy implications of the findings. PMID:11067192

  17. Creating Shareable Clinical Decision Support Rules for a Pharmacogenomics Clinical Guideline Using Structured Knowledge Representation.

    PubMed

    Linan, Margaret K; Sottara, Davide; Freimuth, Robert R

    2015-01-01

    Pharmacogenomics (PGx) guidelines contain drug-gene relationships, therapeutic and clinical recommendations from which clinical decision support (CDS) rules can be extracted, rendered and then delivered through clinical decision support systems (CDSS) to provide clinicians with just-in-time information at the point of care. Several tools exist that can be used to generate CDS rules that are based on computer interpretable guidelines (CIG), but none have been previously applied to the PGx domain. We utilized the Unified Modeling Language (UML), the Health Level 7 virtual medical record (HL7 vMR) model, and standard terminologies to represent the semantics and decision logic derived from a PGx guideline, which were then mapped to the Health eDecisions (HeD) schema. The modeling and extraction processes developed here demonstrate how structured knowledge representations can be used to support the creation of shareable CDS rules from PGx guidelines. PMID:26958298

  18. Creating Shareable Clinical Decision Support Rules for a Pharmacogenomics Clinical Guideline Using Structured Knowledge Representation

    PubMed Central

    Linan, Margaret K.; Sottara, Davide; Freimuth, Robert R.

    2015-01-01

    Pharmacogenomics (PGx) guidelines contain drug-gene relationships, therapeutic and clinical recommendations from which clinical decision support (CDS) rules can be extracted, rendered and then delivered through clinical decision support systems (CDSS) to provide clinicians with just-in-time information at the point of care. Several tools exist that can be used to generate CDS rules that are based on computer interpretable guidelines (CIG), but none have been previously applied to the PGx domain. We utilized the Unified Modeling Language (UML), the Health Level 7 virtual medical record (HL7 vMR) model, and standard terminologies to represent the semantics and decision logic derived from a PGx guideline, which were then mapped to the Health eDecisions (HeD) schema. The modeling and extraction processes developed here demonstrate how structured knowledge representations can be used to support the creation of shareable CDS rules from PGx guidelines. PMID:26958298

  19. Clinical decision support systems: data quality management and governance.

    PubMed

    Liaw, Siaw-Teng

    2013-01-01

    This chapter examines data quality management (DQM) and information governance (IG) of electronic decision support (EDS) systems so that they are safe and fit for use by clinicians and patients and their carers. This is consistent with the ISO definition of data quality as being fit for purpose. The scope of DQM & IG should range from data creation and collection in clinical settings, through cleaning and, where obtained from multiple sources, linkage, storage, use by the EDS logic engine and algorithms, knowledge base and guidance provided, to curation and presentation. It must also include protocols and mechanisms to monitor the safety of EDS, which will feedback into DQM & IG activities. Ultimately, DQM & IG must be integrated across the data cycle to ensure that the EDS systems provide guidance that leads to safe and effective clinical decisions and care. PMID:24018528

  20. Coaching and guidance with patient decision aids: A review of theoretical and empirical evidence

    PubMed Central

    2013-01-01

    Background Coaching and guidance are structured approaches that can be used within or alongside patient decision aids (PtDAs) to facilitate the process of decision making. Coaching is provided by an individual, and guidance is embedded within the decision support materials. The purpose of this paper is to: a) present updated definitions of the concepts “coaching” and “guidance”; b) present an updated summary of current theoretical and empirical insights into the roles played by coaching/guidance in the context of PtDAs; and c) highlight emerging issues and research opportunities in this aspect of PtDA design. Methods We identified literature published since 2003 on shared decision making theoretical frameworks inclusive of coaching or guidance. We also conducted a sub-analysis of randomized controlled trials included in the 2011 Cochrane Collaboration Review of PtDAs with search results updated to December 2010. The sub-analysis was conducted on the characteristics of coaching and/or guidance included in any trial of PtDAs and trials that allowed the impact of coaching and/or guidance with PtDA to be compared to another intervention or usual care. Results Theoretical evidence continues to justify the use of coaching and/or guidance to better support patients in the process of thinking about a decision and in communicating their values/preferences with others. In 98 randomized controlled trials of PtDAs, 11 trials (11.2%) included coaching and 63 trials (64.3%) provided guidance. Compared to usual care, coaching provided alongside a PtDA improved knowledge and decreased mean costs. The impact on some other outcomes (e.g., participation in decision making, satisfaction, option chosen) was more variable, with some trials showing positive effects and other trials reporting no differences. For values-choice agreement, decisional conflict, adherence, and anxiety there were no differences between groups. None of these outcomes were worse when patients were exposed

  1. IBM’s Health Analytics and Clinical Decision Support

    PubMed Central

    Sun, J.; Knoop, S.; Shabo, A.; Carmeli, B.; Sow, D.; Syed-Mahmood, T.; Rapp, W.

    2014-01-01

    Summary Objectives This survey explores the role of big data and health analytics developed by IBM in supporting the transformation of healthcare by augmenting evidence-based decision-making. Methods Some problems in healthcare and strategies for change are described. It is argued that change requires better decisions, which, in turn, require better use of the many kinds of healthcare information. Analytic resources that address each of the information challenges are described. Examples of the role of each of the resources are given. Results There are powerful analytic tools that utilize the various kinds of big data in healthcare to help clinicians make more personalized, evidenced-based decisions. Such resources can extract relevant information and provide insights that clinicians can use to make evidence-supported decisions. There are early suggestions that these resources have clinical value. As with all analytic tools, they are limited by the amount and quality of data. Conclusion Big data is an inevitable part of the future of healthcare. There is a compelling need to manage and use big data to make better decisions to support the transformation of healthcare to the personalized, evidence-supported model of the future. Cognitive computing resources are necessary to manage the challenges in employing big data in healthcare. Such tools have been and are being developed. The analytic resources, themselves, do not drive, but support healthcare transformation. PMID:25123736

  2. Clinical Decision Support for Vascular Disease in Community Family Practice

    PubMed Central

    Keshavjee, K; Holbrook, AM; Lau, E; Esporlas-Jewer, I; Troyan, S

    2006-01-01

    The COMPETE III Vascular Disease Tracker (C3VT) is a personalized, Web-based, clinical decision support tool that provides patients and physicians access to a patient’s 16 individual vascular risk markers, specific advice for each marker and links to best practices in vascular disease management. It utilizes the chronic care model1 so that physicians can better manage patients with chronic diseases. Over 1100 patients have been enrolled into the COMPETE III study to date.

  3. Knowledge-analytics synergy in Clinical Decision Support.

    PubMed

    Slonim, Noam; Carmeli, Boaz; Goldsteen, Abigail; Keller, Oliver; Kent, Carmel; Rinott, Ruty

    2012-01-01

    Clinical Decision Support (CDS) systems hold tremendous potential for improving patient care. Most existing systems are knowledge-based tools that rely on relatively simple rules. More recent approaches rely on analytics techniques to automatically mine EHR data to reveal meaningful insights. Here, we propose the Knowledge-Analytics Synergy paradigm for CDS, in which we synergistically combine existing relevant knowledge with analytics applied to EHR data. We propose a framework for implementing such a paradigm and demonstrate its principles over real-world clinical and genomic data of hypertensive patients. PMID:22874282

  4. [ Preventing adverse drug events using clinical decision support systems].

    PubMed

    Salili, Ali Reza; Hammann, Felix; Taegtmeyer, Anne B

    2015-12-01

    Adverse drug events pose a great risk to patients, are an everyday clinical problem and can have potential/ega/ consequences. Computerized physician order entry or computerized provider order entry (CPOE} in combination with clinical decision support systems {CDSS) are popular and aim to reduce prescribing errors as well as identifying potentially harmful drug drug interactions. The quantifiable benejit these systems bring to patients, has however, yet to be definitively proven. This article focusses on the current standpoint of CPOE-/CDSS, their risks and benefits, the potential for improvement and their perspectives for the future. PMID:26654813

  5. Neural networks and psychiatry: candidate applications in clinical decision making.

    PubMed

    Florio, T; Einfeld, S; Levy, F

    1994-12-01

    Neural networks comprise a fundamentally new type of computer system inspired by the functioning of neurons in the brain. Such networks are good at solving problems that involve pattern recognition and categorisation. An important difference between a neural network and a traditional computer system is that in developing an application, a neural network is not programmed; instead, it is trained to solve a particular type of problem. This ability to learn to solve a problem makes neural networks adaptable to solving a wide variety of problems, some of which have proved intractable using a traditional computing approach. Neural networks are particularly suited to tasks involving the categorisation of patterns of information, such as is required in diagnosis and clinical decision making. In the last three years reports of applications involving neural networks have begun to appear in the medical literature, and these are described in this paper. However, a comprehensive search of the literature has shown that there have not as yet been reports of any applications in psychiatry. This paper discusses the nature of clinical decision making, outlines the sorts of problems in psychiatry which neural networks applications might be developed to address, and gives examples of candidate applications in clinical decision making. PMID:7794209

  6. Priority oral health research identification for clinical decision-making.

    PubMed

    Worthington, Helen; Clarkson, Jan; Weldon, Jo

    2015-09-01

    The Cochrane Library is a core resource for clinical decision-making globally, by clinicians, guideline developers, healthcare providers and patients.The publication of Cochrane Library systematic reviews concerning oral health conditions has grown exponentially to over 215 individual titles (as of 20 June 2015) during the past 20 years.Consequently, maintaining updates of the most clinically important reviews to provide up-to-date and accurate sources of evidence for decision-making has become a pressing concern for the editorial group behind their production, Cochrane Oral Health Group.To identify priority research required by oral health decision-makers, the Cochrane OHG embarked on a consultation process across eight defined areas of dentistry (periodontology, operative (including endodontics) and prosthodontics, paediatric dentistry, dental public health, oral and maxillofacial surgery, oral medicine, orthodontics, cleft lip and/or palate) with existing authors (by email), with members of the public (by online survey), and established internationally clinically expert panels for each area of defined area of dentistry to discuss and ratify (by teleconference) a core portfolio of priority evidence to be produced and maintained on the Cochrane Library.The resulting portfolio of priority research encompasses 81 existing titles to be maintained, and an additional 15 new systematic reviews to be developed by the Cochrane OHG in due course.The Cochrane OHG has actively responded to the outcomes of this prioritisation process by allocating resources to primarily supporting the maintenance of identified priority evidence for the Cochrane Library. PMID:26492797

  7. Decisional outcomes following use of an interactive web-based decision aid for prostate cancer screening.

    PubMed

    Tomko, Catherine; Davis, Kimberly; Ludin, Samantha; Kelly, Scott; Stern, Aaron; Luta, George; Taylor, Kathryn L

    2015-06-01

    Informed decision-making tools are recommended for men considering prostate cancer screening. We evaluated the extent to which use of an interactive, web-based decision aid was associated with decisional and screening outcomes. Participants (N = 253) were 57 (7.0) years old and completed telephone interviews at baseline, 1 month, and 13 months post-baseline. Tracking software captured minutes spent on the website (median = 33.9), sections viewed (median = 4.0/5.0), testimonials viewed (median = 4.0/6.0), and values clarification tool (VCT) use (77.3 %). In multivariable analyses, all four website use variables were positively associated with increased knowledge (p's < 0.05). Complete VCT use and number of informational sections were positively associated with greater decisional satisfaction (p's < 0.05). Decisional conflict and screening behavior were not associated with measures of website use. Increased use of informational content and interactive elements were related to improved knowledge and satisfaction. Methods to increase utilization of interactive website components may improve informed decision-making outcomes. PMID:26029281

  8. Reducing diagnostic error with computer-based clinical decision support.

    PubMed

    Greenes, Robert A

    2009-09-01

    Information technology approaches to delivering diagnostic clinical decision support (CDS) are the subject of the papers to follow in the proceedings. These will address the history of CDS and present day approaches (Miller), evaluation of diagnostic CDS methods (Friedman), and the role of clinical documentation in supporting diagnostic decision making (Schiff). In addition, several other considerations relating to this topic are interesting to ponder. We are moving toward increased understanding of gene regulation and gene expression, identification of biomarkers, and the ability to predict patient response to disease and to tailor treatments to these individual variations-referred to as "personalized" or, more recently, "predictive" medicine. Consequently, diagnostic decision making is more and more linked to management decision making, and generic diagnostic labels like "diabetes" or "colon cancer" will no longer be sufficient, because they don't tell us what to do. Ultimately, if we have more complete data including more structured capture of phenomic data as well as the characterization of the patient's genome, direct prediction from responses of highly refined subsets of similar patients in a database can be used to select appropriate management, the effectiveness of which was demonstrated in projects in selected limited domains as early as the 1970s. In general, there are six classes of methodologies, including the above, which can be applied to delivering CDS. In addition, patients are becoming more knowledgeable and should be regarded as active participants, not only in helping to obtain data but also in their own status assessment and as recipients of decision support. With the above advances, this is a very promising time to be engaged in pursuit of methods of CDS. PMID:19669915

  9. Web-based health services and clinical decision support.

    PubMed

    Jegelevicius, Darius; Marozas, Vaidotas; Lukosevicius, Arunas; Patasius, Martynas

    2004-01-01

    The purpose of this study was the development of a Web-based e-health service for comprehensive assistance and clinical decision support. The service structure consists of a Web server, a PHP-based Web interface linked to a clinical SQL database, Java applets for interactive manipulation and visualization of signals and a Matlab server linked with signal and data processing algorithms implemented by Matlab programs. The service ensures diagnostic signal- and image analysis-sbased clinical decision support. By using the discussed methodology, a pilot service for pathology specialists for automatic calculation of the proliferation index has been developed. Physicians use a simple Web interface for uploading the pictures under investigation to the server; subsequently a Java applet interface is used for outlining the region of interest and, after processing on the server, the requested proliferation index value is calculated. There is also an "expert corner", where experts can submit their index estimates and comments on particular images, which is especially important for system developers. These expert evaluations are used for optimization and verification of automatic analysis algorithms. Decision support trials have been conducted for ECG and ophthalmology ultrasonic investigations of intraocular tumor differentiation. Data mining algorithms have been applied and decision support trees constructed. These services are under implementation by a Web-based system too. The study has shown that the Web-based structure ensures more effective, flexible and accessible services compared with standalone programs and is very convenient for biomedical engineers and physicians, especially in the development phase. PMID:15718591

  10. Computer-Based Medical Decision Support System based on guidelines, clinical pathways and decision nodes.

    PubMed

    Tomaszewski, Wiesław

    2012-01-01

    A continuous and dynamic development of medical sciences which is currently taking place all over the world is associated with a considerable increase in the number of scientific reports and papers of importance in enhancing the effectiveness of treatment and quality of medical care. However, it is difficult, or, indeed, impossible, for physicians to regularly follow all recent innovations in medical knowledge and to apply the latest research findings to their daily clinical practice. More and more studies conducted both in Poland and worldwide as well as experience from clinical practice in various countries provide convincing evidence that various systems supporting medical decision-making by physicians or other medical professionals visibly improve the quality of medical care. The use of such systems is already possible and recently has been developing especially dynamically, as the level of knowledge and information and communication technology now permits their effective implementation. Currently, electronic knowledge bases, together with inference procedures, form intelligent medical information systems, which offer many possibilities for the support of medical decision-making, mainly in regard to interactive diagnostic work-up, but also the selection of the most suitable treatment plan (clinical pathway). Regardless of their scale and area of application, these systems are referred to as Computer-Based Medical Decision Support Systems (CBMDSS). PMID:22741924

  11. [When should notification of an infectious disease be mandatory? A decision aid to determine whether mandatory notification is justified].

    PubMed

    Bijkerk, P; Fanoy, E B; van der Sande, M A B

    2016-01-01

    In the Netherlands, all physicians are required to report cases of certain infectious diseases to the public health services, to allow appropriate control measures. In recent years, various requests have been submitted to add certain infectious diseases to the list of notifiable diseases. In order to decide whether such a request should be granted, we developed a structured decision aid based on a range of existing criteria for mandatory notification, applied in the Netherlands and other countries. In this article, we describe the development of this decision aid and illustrate its use in the mandatory notification application reviews for Vibrio vulnificus infection and tularaemia respectively. Based on the decision aid outcomes, mandatory notification for V. vulnificus infection was advised as not necessary whereas notification is considered mandatory for tularaemia. PMID:27050495

  12. DYNAMICALLY EVOLVING CLINICAL PRACTICES AND IMPLICATIONS FOR PREDICTING MEDICAL DECISIONS.

    PubMed

    Chen, Jonathan H; Goldstein, Mary K; Asch, Steven M; Altman, Russ B

    2016-01-01

    Automatically data-mining clinical practice patterns from electronic health records (EHR) can enable prediction of future practices as a form of clinical decision support (CDS). Our objective is to determine the stability of learned clinical practice patterns over time and what implication this has when using varying longitudinal historical data sources towards predicting future decisions. We trained an association rule engine for clinical orders (e.g., labs, imaging, medications) using structured inpatient data from a tertiary academic hospital. Comparing top order associations per admission diagnosis from training data in 2009 vs. 2012, we find practice variability from unstable diagnoses with rank biased overlap (RBO)<0.35 (e.g., pneumonia) to stable admissions for planned procedures (e.g., chemotherapy, surgery) with comparatively high RBO>0.6. Predicting admission orders for future (2013) patients with associations trained on recent (2012) vs. older (2009) data improved accuracy evaluated by area under the receiver operating characteristic curve (ROC-AUC) 0.89 to 0.92, precision at ten (positive predictive value of the top ten predictions against actual orders) 30% to 37%, and weighted recall (sensitivity) at ten 2.4% to 13%, (P<10(-10)). Training with more longitudinal data (2009-2012) was no better than only using recent (2012) data. Secular trends in practice patterns likely explain why smaller but more recent training data is more accurate at predicting future practices. PMID:26776186

  13. DYNAMICALLY EVOLVING CLINICAL PRACTICES AND IMPLICATIONS FOR PREDICTING MEDICAL DECISIONS

    PubMed Central

    CHEN, JONATHAN H; GOLDSTEIN, MARY K; ASCH, STEVEN M; ALTMAN, RUSS B

    2015-01-01

    Automatically data-mining clinical practice patterns from electronic health records (EHR) can enable prediction of future practices as a form of clinical decision support (CDS). Our objective is to determine the stability of learned clinical practice patterns over time and what implication this has when using varying longitudinal historical data sources towards predicting future decisions. We trained an association rule engine for clinical orders (e.g., labs, imaging, medications) using structured inpatient data from a tertiary academic hospital. Comparing top order associations per admission diagnosis from training data in 2009 vs. 2012, we find practice variability from unstable diagnoses with rank biased overlap (RBO)<0.35 (e.g., pneumonia) to stable admissions for planned procedures (e.g., chemotherapy, surgery) with comparatively high RBO>0.6. Predicting admission orders for future (2013) patients with associations trained on recent (2012) vs. older (2009) data improved accuracy evaluated by area under the receiver operating characteristic curve (ROC-AUC) 0.89 to 0.92, precision at ten (positive predictive value of the top ten predictions against actual orders) 30% to 37%, and weighted recall (sensitivity) at ten 2.4% to 13%, (P<10−10). Training with more longitudinal data (2009-2012) was no better than only using recent (2012) data. Secular trends in practice patterns likely explain why smaller but more recent training data is more accurate at predicting future practices. PMID:26776186

  14. Clinical decision making-a functional medicine perspective.

    PubMed

    Pizzorno, Joseph E

    2012-09-01

    As 21st century health care moves from a disease-based approach to a more patient-centric system that can address biochemical individuality to improve health and function, clinical decision making becomes more complex. Accentuating the problem is the lack of a clear standard for this more complex functional medicine approach. While there is relatively broad agreement in Western medicine for what constitutes competent assessment of disease and identification of related treatment approaches, the complex functional medicine model posits multiple and individualized diagnostic and therapeutic approaches, most or many of which have reasonable underlying science and principles, but which have not been rigorously tested in a research or clinical setting. This has led to non-rigorous thinking and sometimes to uncritical acceptance of both poorly documented diagnostic procedures and ineffective therapies, resulting in less than optimal clinical care. PMID:24278827

  15. Clinical decision support for physician order-entry: design challenges.

    PubMed

    Broverman, C A; Clyman, J I; Schlesinger, J M; Want, E

    1996-01-01

    We report on a joint development effort between ALLTEL Information Services Health Care Division and IBM Worldwide Healthcare Industry to demonstrate concurrent clinical decision support using Arden Syntax at order-entry time. The goal of the partnership is to build a high performance CDS toolkit that may be easily customized for multiple health care enterprises. Our work uses and promotes open technologies and health care standards while building a generalizable interface to a legacy patient-care system and clinical database. This paper identifies four areas of design challenges and solutions unique to a concurrent order-entry environment: the clinical information model, the currency of the patient virtual chart, the granularity of event triggers and rule evaluation context, and performance. PMID:8947731

  16. A Clinical Decision Support System for Breast Cancer Patients

    NASA Astrophysics Data System (ADS)

    Fernandes, Ana S.; Alves, Pedro; Jarman, Ian H.; Etchells, Terence A.; Fonseca, José M.; Lisboa, Paulo J. G.

    This paper proposes a Web clinical decision support system for clinical oncologists and for breast cancer patients making prognostic assessments, using the particular characteristics of the individual patient. This system comprises three different prognostic modelling methodologies: the clinically widely used Nottingham prognostic index (NPI); the Cox regression modelling and a partial logistic artificial neural network with automatic relevance determination (PLANN-ARD). All three models yield a different prognostic index that can be analysed together in order to obtain a more accurate prognostic assessment of the patient. Missing data is incorporated in the mentioned models, a common issue in medical data that was overcome using multiple imputation techniques. Risk group assignments are also provided through a methodology based on regression trees, where Boolean rules can be obtained expressed with patient characteristics.

  17. A highly scalable, interoperable clinical decision support service

    PubMed Central

    Goldberg, Howard S; Paterno, Marilyn D; Rocha, Beatriz H; Schaeffer, Molly; Wright, Adam; Erickson, Jessica L; Middleton, Blackford

    2014-01-01

    Objective To create a clinical decision support (CDS) system that is shareable across healthcare delivery systems and settings over large geographic regions. Materials and methods The enterprise clinical rules service (ECRS) realizes nine design principles through a series of enterprise java beans and leverages off-the-shelf rules management systems in order to provide consistent, maintainable, and scalable decision support in a variety of settings. Results The ECRS is deployed at Partners HealthCare System (PHS) and is in use for a series of trials by members of the CDS consortium, including internally developed systems at PHS, the Regenstrief Institute, and vendor-based systems deployed at locations in Oregon and New Jersey. Performance measures indicate that the ECRS provides sub-second response time when measured apart from services required to retrieve data and assemble the continuity of care document used as input. Discussion We consider related work, design decisions, comparisons with emerging national standards, and discuss uses and limitations of the ECRS. Conclusions ECRS design, implementation, and use in CDS consortium trials indicate that it provides the flexibility and modularity needed for broad use and performs adequately. Future work will investigate additional CDS patterns, alternative methods of data passing, and further optimizations in ECRS performance. PMID:23828174

  18. Compatibility and consistency in display-control systems - Implications for aircraft decision aid design

    NASA Technical Reports Server (NTRS)

    Andre, Anthony D.; Wickens, Christopher D.

    1992-01-01

    In this study we contrast display-control movement relations defined in terms of stimulus-response (physical) compatibility with those defined by stimulus-cognitive compatibility, and we relate these findings to the issue of command versus status levels of decision aid support. A second issue addressed is the cost of inconsistency across multiple display-control mappings. Subjects performed a flight control task while responding to one to four analog indicators, formatted as either command or status displays. The results suggest that there is an advantage for the status format when subjects are required to verbally report the state of the indicator(s), but no advantage was found for either format when subjects were required to manually correct the indicated state. The data point to the importance of display-control consistency and suggest that it may even outweigh that of compatibility.

  19. Design model of computerized personal decision aid for youth: An expert review

    NASA Astrophysics Data System (ADS)

    Sarif, Siti Mahfuzah; Ibrahim, Norfiza; Shiratuddin, Norshuhada

    2016-08-01

    This paper provides a structured review of a design model of a computerized personal decision aid that is intended for youth, named as YouthPDA Design Model. The proposed design model was examined by experts in related areas to ensure the appropriateness of the proposed components and elements, relevancy of the terminologies used, logic of the flow, usability, and practicality of the design model towards development of YouthPDA application. Seven experts from related areas were involved in the evaluation. Discussions on the findings obtained from the expert review are included in this paper. Finally, a revised design model of YouthPDA is proposed as main guidance to develop YouthPDA application.

  20. Working Memory and Hearing Aid Processing: Literature Findings, Future Directions, and Clinical Applications.

    PubMed

    Souza, Pamela; Arehart, Kathryn; Neher, Tobias

    2015-01-01

    Working memory-the ability to process and store information-has been identified as an important aspect of speech perception in difficult listening environments. Working memory can be envisioned as a limited-capacity system which is engaged when an input signal cannot be readily matched to a stored representation or template. This "mismatch" is expected to occur more frequently when the signal is degraded. Because working memory capacity varies among individuals, those with smaller capacity are expected to demonstrate poorer speech understanding when speech is degraded, such as in background noise. However, it is less clear whether (and how) working memory should influence practical decisions, such as hearing treatment. Here, we consider the relationship between working memory capacity and response to specific hearing aid processing strategies. Three types of signal processing are considered, each of which will alter the acoustic signal: fast-acting wide-dynamic range compression, which smooths the amplitude envelope of the input signal; digital noise reduction, which may inadvertently remove speech signal components as it suppresses noise; and frequency compression, which alters the relationship between spectral peaks. For fast-acting wide-dynamic range compression, a growing body of data suggests that individuals with smaller working memory capacity may be more susceptible to such signal alterations, and may receive greater amplification benefit with "low alteration" processing. While the evidence for a relationship between wide-dynamic range compression and working memory appears robust, the effects of working memory on perceptual response to other forms of hearing aid signal processing are less clear cut. We conclude our review with a discussion of the opportunities (and challenges) in translating information on individual working memory into clinical treatment, including clinically feasible measures of working memory. PMID:26733899

  1. Working Memory and Hearing Aid Processing: Literature Findings, Future Directions, and Clinical Applications

    PubMed Central

    Souza, Pamela; Arehart, Kathryn; Neher, Tobias

    2015-01-01

    Working memory—the ability to process and store information—has been identified as an important aspect of speech perception in difficult listening environments. Working memory can be envisioned as a limited-capacity system which is engaged when an input signal cannot be readily matched to a stored representation or template. This “mismatch” is expected to occur more frequently when the signal is degraded. Because working memory capacity varies among individuals, those with smaller capacity are expected to demonstrate poorer speech understanding when speech is degraded, such as in background noise. However, it is less clear whether (and how) working memory should influence practical decisions, such as hearing treatment. Here, we consider the relationship between working memory capacity and response to specific hearing aid processing strategies. Three types of signal processing are considered, each of which will alter the acoustic signal: fast-acting wide-dynamic range compression, which smooths the amplitude envelope of the input signal; digital noise reduction, which may inadvertently remove speech signal components as it suppresses noise; and frequency compression, which alters the relationship between spectral peaks. For fast-acting wide-dynamic range compression, a growing body of data suggests that individuals with smaller working memory capacity may be more susceptible to such signal alterations, and may receive greater amplification benefit with “low alteration” processing. While the evidence for a relationship between wide-dynamic range compression and working memory appears robust, the effects of working memory on perceptual response to other forms of hearing aid signal processing are less clear cut. We conclude our review with a discussion of the opportunities (and challenges) in translating information on individual working memory into clinical treatment, including clinically feasible measures of working memory. PMID:26733899

  2. Decision-Aiding and Optimization for Vertical Navigation of Long-Haul Aircraft

    NASA Technical Reports Server (NTRS)

    Patrick, Nicholas J. M.; Sheridan, Thomas B.

    1996-01-01

    different airspace design and air traffic management policies. A decision aid is proposed which would combine the pilot's notion of optimality with the GA-based optimization, provide the pilot with a number of alternative pareto-optimal trajectories, and allow him to consider unmodelled attributes and constraints in choosing among them. A solution to the problem of displaying alternatives in a multi-attribute decision space is also presented.

  3. Decision-Aiding and Optimization for Vertical Navigation of Long-Haul Aircraft

    NASA Technical Reports Server (NTRS)

    Patrick, Nicholas J. M.; Sheridan, Thomas B.

    1996-01-01

    different airspace design and air traffic management policies. A decision aid is proposed which would combine the pilot's notion of optimility with the GA-based optimization, provide the pilot with a number of alternative pareto-optimal trajectories, and allow him to consider un-modelled attributes and constraints in choosing among them. A solution to the problem of displaying alternatives in a multi-attribute decision space is also presented.

  4. LG based decision aid for naval tactical action officer's (TAO) workstation

    NASA Astrophysics Data System (ADS)

    Stilman, Boris; Yakhnis, Vladimir; Umanskiy, Oleg; Boyd, Ron

    2005-05-01

    In the increasingly NetCentric battlespace of the 21st century, Stilman Advanced Strategies Linguistic Geometry software has the potential to revolutionize the way that the Navy fights in two key areas: as a Tactical Decision Aid and for creating a relevant Common Operating Picture. Incorporating STILMAN's software into a prototype Tactical Action Officers (TAO) workstation as a Tactical Decision Aid (TDA) will allow warfighters to manage their assets more intelligently and effectively. This prototype workstation will be developed using human-centered design principles and will be an open, component-based architecture for combat control systems for future small surface combatants. It will integrate both uninhabited vehicles and onboard sensors and weapon systems across a squadron of small surface combatants. In addition, the hypergame representation of complex operations provides a paradigm for the presentation of a common operating picture to operators and personnel throughout the command hierarchy. In the hypergame technology there are game levels that span the range from the tactical to the global strategy level, with each level informing the others. This same principle will be applied to presenting the relevant common operating picture to operators. Each operator will receive a common operating picture that is appropriate for their level in the command hierarchy. The area covered by this operating picture and the level of detail contained within it will be dependent upon the specific tasks the operator is performing (supervisory vice tactical control) and the level of the operator (or command personnel) within the command hierarchy. Each level will inform the others to keep the picture concurrent and up-to-date.

  5. A health examination system integrated with clinical decision support system.

    PubMed

    Kuo, Kuan-Liang; Fuh, Chiou-Shann

    2010-10-01

    Health examinations play a key role in preventive medicine. We propose a health examination system named Health Examination Automatic Logic System (HEALS) to assist clinical workers in improving the total quality of health examinations. Quality of automated inference is confirmed by the zero inference error where during 6 months and 14,773 cases. Automated inference time is less than one second per case in contrast to 2 to 5 min for physicians. The most significant result of efficiency evaluation is that 3,494 of 4,356 (80.2%) cases take less than 3 min per case for producing a report summary. In the evaluation of effectiveness, novice physicians got 18% improvement in making decisions with the assistance of our system. We conclude that a health examination system with a clinical decision system can greatly reduce the mundane burden on clinical workers and markedly improve the quality and efficiency of health examination tasks. PMID:20703626

  6. Development of Patients' Decision Aid for Older Women With Stage I Breast Cancer Considering Radiotherapy After Lumpectomy

    SciTech Connect

    Wong, Jennifer; D'Alimonte, Laura; Angus, Jan; Paszat, Larry; Metcalfe, Kelly; Whelan, Tim; Llewellyn-Thomas, Hilary; Warner, Eiran; Franssen, Edmee; Szumacher, Ewa

    2012-09-01

    Purpose: To develop a patient decision aid (PtDA) for older women with Stage I, pathologically node negative, estrogen receptor-positive progesterone receptor-positive breast cancer who are considering adjuvant radiotherapy after lumpectomy and to examine its impact on patients' decision making. Methods and Materials: A PtDA was developed and evaluated in three steps according to the Ottawa Decision Support Framework: (1) needs assessment (n = 16); (2) Pilot I to examine PtDA acceptability (n = 12); and (3) Pilot II, a pretest posttest (n = 38) with older women with estrogen receptor-positive progesterone receptor-positive breast cancer after lumpectomy who were receiving adjuvant radiation therapy. Measures included patients' satisfaction with the PtDA, self-reported decisional conflict, level of distress, treatment-related knowledge, and choice predisposition. Results: The PtDA is a booklet that details each adjuvant treatment option's benefits, risks, and side effects tailored to the patient's clinical profile; includes a values clarification exercise; and includes steps to guide patients towards their decision. On the basis of qualitative comments and satisfaction ratings, all women thought that the PtDA was helpful and informative. In comparison with their baseline scores, patients had a statistically significant (p < 0.05) reduction in decisional conflict (adjusted mean difference [AMD], -7.18; 95% confidence interval [CI], -13.50 to 12.59); increased clarity of the benefits and risks (AMD, -10.86; CI, -20.33 to 21.49); and improved general treatment knowledge (AMD, 8.99; CI, 2.88-10.28) after using the PtDA. General trends were also reported in the patients' choice predisposition scores that suggested potential differences in treatment decision after PtDA use. Conclusions: This study provides evidence that this PtDA may be a helpful educational tool for this group of women. The quality of care for older breast cancer patients may be enhanced by the use of a

  7. Is it the time to rethink clinical decision-making strategies? From a single clinical outcome evaluation to a Clinical Multi-criteria Decision Assessment (CMDA).

    PubMed

    Migliore, Alberto; Integlia, Davide; Bizzi, Emanuele; Piaggio, Tomaso

    2015-10-01

    There are plenty of different clinical, organizational and economic parameters to consider in order having a complete assessment of the total impact of a pharmaceutical treatment. In the attempt to follow, a holistic approach aimed to provide an evaluation embracing all clinical parameters in order to choose the best treatments, it is necessary to compare and weight multiple criteria. Therefore, a change is required: we need to move from a decision-making context based on the assessment of one single criteria towards a transparent and systematic framework enabling decision makers to assess all relevant parameters simultaneously in order to choose the best treatment to use. In order to apply the MCDA methodology to clinical decision making the best pharmaceutical treatment (or medical devices) to use to treat a specific pathology, we suggest a specific application of the Multiple Criteria Decision Analysis for the purpose, like a Clinical Multi-criteria Decision Assessment CMDA. In CMDA, results from both meta-analysis and observational studies are used by a clinical consensus after attributing weights to specific domains and related parameters. The decision will result from a related comparison of all consequences (i.e., efficacy, safety, adherence, administration route) existing behind the choice to use a specific pharmacological treatment. The match will yield a score (in absolute value) that link each parameter with a specific intervention, and then a final score for each treatment. The higher is the final score; the most appropriate is the intervention to treat disease considering all criteria (domain an parameters). The results will allow the physician to evaluate the best clinical treatment for his patients considering at the same time all relevant criteria such as clinical effectiveness for all parameters and administration route. The use of CMDA model will yield a clear and complete indication of the best pharmaceutical treatment to use for patients

  8. Randomized Trial of a Computerized Touch Screen Decision Aid to Increase Acceptance of Colonoscopy Screening in an African American Population with Limited Literacy.

    PubMed

    Ruzek, Sheryl B; Bass, Sarah Bauerle; Greener, Judith; Wolak, Caitlin; Gordon, Thomas F

    2016-10-01

    The goal of this study was to assess the effectiveness of a touch screen decision aid to increase acceptance of colonoscopy screening among African American patients with low literacy, developed and tailored using perceptual mapping methods grounded in Illness Self-Regulation and Information-Communication Theories. The pilot randomized controlled trial investigated the effects of a theory-based intervention on patients' acceptance of screening, including their perceptions of educational value, feelings about colonoscopy, likelihood to undergo screening, and decisional conflict about colonoscopy screening. Sixty-one African American patients with low literacy, aged 50-70 years, with no history of colonoscopy, were randomly assigned to receive a computerized touch screen decision aid (CDA; n = 33) or a literacy appropriate print tool (PT; n = 28) immediately before a primary care appointment in an urban, university-affiliated general internal medicine clinic. Patients rated the CDA significantly higher than the PT on all indicators of acceptance, including the helpfulness of the information for making a screening decision, and reported positive feelings about colonoscopy, greater likelihood to be screened, and lower decisional conflict. Results showed that a touch screen decision tool is acceptable to African American patients with low iteracy and, by increasing intent to screen, may increase rates of colonoscopy screening. PMID:26940369

  9. Low Literacy Decision Aid Enhances Knowledge and Reduces Decisional Conflict among Diverse Population of Adults with Rheumatoid Arthritis: Results of a Pilot Study

    PubMed Central

    Barton, Jennifer L.; Trupin, Laura; Schillinger, Dean; Evans-Young, Gina; Imboden, John; Montori, Victor M.; Yelin, Edward

    2016-01-01

    Objective Despite innovations in treatment of rheumatoid arthritis (RA), adherence is poor and disparities persist. Shared decision making (SDM) promotes patient engagement and enhances adherence, however few tools support SDM in RA. Our objective was to pilot a low literacy medication guide and decision aid to facilitate patient-clinician conversations about RA medications. Methods RA patients were consecutively enrolled into one of three arms: (1) control, patients received existing medication guide prior to clinic visit; (2) adapted guide prior to visit; (3) adapted guide prior plus decision aid during visit. Outcomes were collected immediately post-visit, at 1-week, 3- and 6-month interviews. Eligible adults had to have failed at least one DMARD and fulfill one of the following: age >65, immigrant, non-English speaker, < high school education, limited health literacy, racial/ethnic minority. Primary outcomes were knowledge of RA medications, decisional conflict, and acceptability of interventions. Results Majority of 166 patients were immigrants (66%), non-English speakers (54%), and had limited health literacy (71%). Adequate RA knowledge post visit in arm 3 was higher (78%) than arm 1 (53%, adjusted OR 2.7, 95% CI 1.2–6.1). Among patients with a medication change, there was lower (better) mean decisional conflict in arms 2 and 3 (p=0.03). No significant differences in acceptability. Conclusion A low literacy medication guide and decision aid was acceptable, improved knowledge, and reduced decisional conflict among vulnerable RA patients. Enhancing knowledge and patient engagement with decision support tools may lead to medication choices better aligned with patient values and preferences in RA. PMID:26605752

  10. Development of dynamical downscaling for regional climate modeling and decision aid applications

    NASA Astrophysics Data System (ADS)

    Darmenova, K.; Higgins, G.; Alliss, R.; Kiley, H.; Apling, D.

    2009-12-01

    Current General Circulation Models (GCMs) provide a valuable estimate of both natural and anthropogenic climate changes and variability on global scales. At the same time, future climate projections calculated with GCMs are not of sufficient spatial resolution to address regional needs. There is a growing interest from various industry sectors such as health, energy, agriculture, transportation and water planning in incorporating climate change into their strategic and development plans. To address current deficiencies in local planning and decision making with respect to regional climate change, our research is focused on developing a dynamical downscaling capability with the Weather Research and Forecasting (WRF) model and developing decision aids that translate the regional climate data into actionable information for users. Our methodology involves detailed analysis of ensemble runs performed with the WRF model initialized with the NCEP-NCAR reanalysis data and the ECHAM5 GCM. The WRF model is also run with different physical schemes and spatial resolutions, and compared with ground-based observations to delineate the uncertainties associated with the use of different initial conditions, grid sizes and physical parameterizations.

  11. Assessment of regional climate change and development of climate adaptation decision aids in the Southwestern US

    NASA Astrophysics Data System (ADS)

    Darmenova, K.; Higgins, G.; Kiley, H.; Apling, D.

    2010-12-01

    Current General Circulation Models (GCMs) provide a valuable estimate of both natural and anthropogenic climate changes and variability on global scales. At the same time, future climate projections calculated with GCMs are not of sufficient spatial resolution to address regional needs. Many climate impact models require information at scales of 50 km or less, so dynamical downscaling is often used to estimate the smaller-scale information based on larger scale GCM output. To address current deficiencies in local planning and decision making with respect to regional climate change, our research is focused on performing a dynamical downscaling with the Weather Research and Forecasting (WRF) model and developing decision aids that translate the regional climate data into actionable information for users. Our methodology involves development of climatological indices of extreme weather and heating/cooling degree days based on WRF ensemble runs initialized with the NCEP-NCAR reanalysis and the European Center/Hamburg Model (ECHAM5). Results indicate that the downscale simulations provide the necessary detailed output required by state and local governments and the private sector to develop climate adaptation plans. In addition we evaluated the WRF performance in long-term climate simulations over the Southwestern US and validated against observational datasets.

  12. Clinical genomics information management software linking cancer genome sequence and clinical decisions.

    PubMed

    Watt, Stuart; Jiao, Wei; Brown, Andrew M K; Petrocelli, Teresa; Tran, Ben; Zhang, Tong; McPherson, John D; Kamel-Reid, Suzanne; Bedard, Philippe L; Onetto, Nicole; Hudson, Thomas J; Dancey, Janet; Siu, Lillian L; Stein, Lincoln; Ferretti, Vincent

    2013-09-01

    Using sequencing information to guide clinical decision-making requires coordination of a diverse set of people and activities. In clinical genomics, the process typically includes sample acquisition, template preparation, genome data generation, analysis to identify and confirm variant alleles, interpretation of clinical significance, and reporting to clinicians. We describe a software application developed within a clinical genomics study, to support this entire process. The software application tracks patients, samples, genomic results, decisions and reports across the cohort, monitors progress and sends reminders, and works alongside an electronic data capture system for the trial's clinical and genomic data. It incorporates systems to read, store, analyze and consolidate sequencing results from multiple technologies, and provides a curated knowledge base of tumor mutation frequency (from the COSMIC database) annotated with clinical significance and drug sensitivity to generate reports for clinicians. By supporting the entire process, the application provides deep support for clinical decision making, enabling the generation of relevant guidance in reports for verification by an expert panel prior to forwarding to the treating physician. PMID:23603536

  13. Multiple Perspectives on the Meaning of Clinical Decision Support

    PubMed Central

    Richardson, Joshua E.; Ash, Joan S.; Sittig, Dean F.; Bunce, Arwen; Carpenter, James; Dykstra, Richard H.; Guappone, Ken; McCormack, James; McMullen, Carmit K.; Shapiro, Michael; Wright, Adam; Middleton, Blackford

    2010-01-01

    Clinical Decision Support (CDS) is viewed as a means to improve safety and efficiency in health care. Yet the lack of consensus about what is meant by CDS represents a barrier to effective design, implementation, and utilization of CDS tools. We conducted a multi-site qualitative inquiry to understand how different people define and describe CDS. Using subjects’ multiple perspectives we were able to gain new insights as to what stakeholders want CDS to achieve and how to achieve it even when those perspectives are competing and conflicting. PMID:21347119

  14. Multiple Perspectives on the Meaning of Clinical Decision Support

    PubMed Central

    Richardson, Joshua E.; Ash, Joan S.; Sittig, Dean F.; Bunce, Arwen; Carpenter, James; Dykstra, Richard H.; Guappone, Ken; McMullen, Carmit K.; Shapiro, Michael; Wright, Adam

    2010-01-01

    Clinical Decision Support (CDS) is viewed as a means to improve safety and efficiency in health care. Yet the lack of a consensus around what is meant by CDS represents a barrier to effective design, use, and utilization of CDS tools. We conducted a multi-site qualitative inquiry to understand how different people define and describe CDS. Using subjects’ multiple perspectives we were able to gain new insights as to what stakeholders want CDS to achieve and how to achieve it; even at times when those perspectives are competing and conflicting. PMID:21347063

  15. Evaluation of RxNorm for Medication Clinical Decision Support

    PubMed Central

    Freimuth, Robert R.; Wix, Kelly; Zhu, Qian; Siska, Mark; Chute, Christopher G.

    2014-01-01

    We evaluated the potential use of RxNorm to provide standardized representations of generic drug name and route of administration to facilitate management of drug lists for clinical decision support (CDS) rules. We found a clear representation of generic drug name but not route of administration. We identified several issues related to data quality, including erroneous or missing defined relationships, and the use of different concept hierarchies to represent the same drug. More importantly, we found extensive semantic precoordination of orthogonal concepts related to route and dose form, which would complicate the use of RxNorm for drug-based CDS. This study demonstrated that while RxNorm is a valuable resource for the standardization of medications used in clinical practice, additional work is required to enhance the terminology so that it can support expanded use cases, such as managing drug lists for CDS. PMID:25954360

  16. Clinical Decision Support Knowledge Management: Strategies for Success.

    PubMed

    Khalifa, Mohamed; Alswailem, Osama

    2015-01-01

    Clinical Decision Support Systems have been shown to increase quality of care, patient safety, improve adherence to guidelines for prevention and treatment, and avoid medication errors. Such systems depend mainly on two types of content; the clinical information related to patients and the medical knowledge related to the specialty that informs the system rules and alerts. At King Faisal Specialist Hospital and Research Center, Saudi Arabia, the Health Information Technology Affairs worked on identifying best strategies and recommendations for successful CDSS knowledge management. A review of literature was conducted to identify main areas of challenges and factors of success. A qualitative survey was used over six months' duration to collect opinions, experiences and suggestions from both IT and healthcare professionals. Recommendations were categorized into ten main topics that should be addressed during the development and implementation of CDSS knowledge management tools in the hospital. PMID:26152955

  17. Evaluation of RxNorm for Medication Clinical Decision Support.

    PubMed

    Freimuth, Robert R; Wix, Kelly; Zhu, Qian; Siska, Mark; Chute, Christopher G

    2014-01-01

    We evaluated the potential use of RxNorm to provide standardized representations of generic drug name and route of administration to facilitate management of drug lists for clinical decision support (CDS) rules. We found a clear representation of generic drug name but not route of administration. We identified several issues related to data quality, including erroneous or missing defined relationships, and the use of different concept hierarchies to represent the same drug. More importantly, we found extensive semantic precoordination of orthogonal concepts related to route and dose form, which would complicate the use of RxNorm for drug-based CDS. This study demonstrated that while RxNorm is a valuable resource for the standardization of medications used in clinical practice, additional work is required to enhance the terminology so that it can support expanded use cases, such as managing drug lists for CDS. PMID:25954360

  18. The Factors that Influence Data Utilization in Decision-Making: The Case of HIV/AIDS Programs in Mexico

    ERIC Educational Resources Information Center

    Rodriguez, Daniela Cristina

    2011-01-01

    In Mexico, as in many other countries, HIV/AIDS strategies are developed at the federal level and implemented at the state level. Local programs are expected to use data, in particular surveillance data, to drive their decisions on programmatic activities and prioritize populations with which the program will engage. Since the early 1980s Mexico…

  19. Utilizing computerized entertainment education in the development of decision aids for lower literate and naïve computer users.

    PubMed

    Jibaja-Weiss, Maria L; Volk, Robert J

    2007-01-01

    Decision aids have been developed by using various delivery methods, including interactive computer programs. Such programs, however, still rely heavily on written information, health and digital literacy, and reading ease. We describe an approach to overcome these potential barriers for low-literate, underserved populations by making design considerations for poor readers and naïve computer users and by using concepts from entertainment education to engage the user and to contextualize the content for the user. The system design goals are to make the program both didactic and entertaining and the navigation and graphical user interface as simple as possible. One entertainment education strategy, the soap opera, is linked seamlessly to interactive learning modules to enhance the content of the soap opera episodes. The edutainment decision aid model (EDAM) guides developers through the design process. Although designing patient decision aids that are educational, entertaining, and targeted toward poor readers and those with limited computer skills is a complex task, it is a promising strategy for aiding this population. Entertainment education may be a highly effective approach to promoting informed decision making for patients with low health literacy. PMID:17934944

  20. Use of graphics in decision aids for telerobotic control: (Parts 5-8 of an 8-part MIT progress report)

    NASA Technical Reports Server (NTRS)

    Sheridan, Thomas B.; Roseborough, James B.; Das, Hari; Chin, Kan-Ping; Inoue, Seiichi

    1989-01-01

    Four separate projects recently completed or in progress at the MIT Man-Machine Systems Laboratory are summarized. They are: a decision aid for retrieving a tumbling satellite in space; kinematic control and graphic display of redundant teleoperators; real time terrain/object generation: a quad-tree approach; and two dimensional control for three dimensional obstacle avoidance.

  1. Perceptions of Prostate Cancer Screening Controversy and Informed Decision Making: Implications for Development of a Targeted Decision Aid for Unaffected Male First-Degree Relatives

    PubMed Central

    Gwede, Clement K.; Davis, Stacy N.; Wilson, Shaenelle; Patel, Mitul; Vadaparampil, Susan T.; Meade, Cathy D.; Rivers, Brian M.; Yu, Daohai; Torres-Roca, Javier; Heysek, Randy; Spiess, Philippe E.; Pow-Sang, Julio; Jacobsen, Paul

    2014-01-01

    Purpose First-degree relatives (FDRs) of prostate cancer (PC) patients should consider multiple concurrent personal risk factors when engaging in informed decision making (IDM) about PC screening. This study assessed perceptions of IDM recommendations and risk-appropriate strategies for IDM among FDRs of varied race/ethnicity. Design A cross-sectional, qualitative Setting Study setting was a cancer center in southwest Florida. Participants The study comprised 44 participants (24 PC patients and 20 unaffected FDRs). Method Focus groups and individual interviews were conducted and analyzed using content analysis and constant comparison methods. Results Patients and FDRs found the PC screening debate and IDM recommendations to be complex and counterintuitive. They overwhelmingly believed screening saves lives and does not have associated harms. There was a strongly expressed need to improve communication between patients and FDRs. A single decision aid that addresses the needs of all FDRs, rather than separating by race/ethnicity, was recommended as sufficient by study participants. These perspectives guided the development of an innovative decision aid that deconstructs the screening controversy and IDM processes into simpler concepts and provides step-by-step strategies for FDRs to engage in IDM. Conclusion Implementing IDM among FDRs is challenging because the IDM paradigm departs from historical messages promoting routine screening. These contradictions should be recognized and addressed for men to participate effectively in IDM. A randomized pilot study evaluating outcomes of the resulting decision aid is underway. PMID:24968183

  2. Practical clinical trials: increasing the value of clinical research for decision making in clinical and health policy.

    PubMed

    Tunis, Sean R; Stryer, Daniel B; Clancy, Carolyn M

    2003-09-24

    Decision makers in health care are increasingly interested in using high-quality scientific evidence to support clinical and health policy choices; however, the quality of available scientific evidence is often found to be inadequate. Reliable evidence is essential to improve health care quality and to support efficient use of limited resources. The widespread gaps in evidence-based knowledge suggest that systematic flaws exist in the production of scientific evidence, in part because there is no consistent effort to conduct clinical trials designed to meet the needs of decision makers. Clinical trials for which the hypothesis and study design are developed specifically to answer the questions faced by decision makers are called pragmatic or practical clinical trials (PCTs). The characteristic features of PCTs are that they (1) select clinically relevant alternative interventions to compare, (2) include a diverse population of study participants, (3) recruit participants from heterogeneous practice settings, and (4) collect data on a broad range of health outcomes. The supply of PCTs is limited primarily because the major funders of clinical research, the National Institutes of Health and the medical products industry, do not focus on supporting such trials. Increasing the supply of PCTs will depend on the development of a mechanism to establish priorities for these studies, significant expansion of an infrastructure to conduct clinical research within the health care delivery system, more reliance on high-quality evidence by health care decision makers, and a substantial increase in public and private funding for these studies. For these changes to occur, clinical and health policy decision makers will need to become more involved in all aspects of clinical research, including priority setting, infrastructure development, and funding. PMID:14506122

  3. Use of online safety decision aid by abused women: effect on decisional conflict in randomized controlled trial

    PubMed Central

    Eden, Karen B.; Perrin, Nancy A.; Hanson, Ginger C.; Messing, Jill T.; Bloom, Tina L.; Campbell, Jacquelyn C.; Gielen, Andrea C.; Clough, Amber S.; Barnes-Hoyt, Jamie S.; Glass, Nancy E.

    2014-01-01

    Background An Internet safety decision aid was developed to help abused women understand their risk for repeat and near-lethal intimate partner violence, clarify priorities related to safety, and develop an action plan customized to these priorities. Purpose The overall purpose of this study was to test the effectiveness of a safety decision aid compared with usual safety planning (control) delivered through a secure website, using a multi-state randomized controlled trial design. The paper evaluated the effectiveness of the safety decision aid in reducing decisional conflict after a single use by abused women. Design Randomized controlled trial referred to as IRIS, Internet Resource for Intervention and Safety Participants Abused women who spoke English (N = 708) were enrolled in a four-state, randomized controlled trial. Intervention and Control The intervention was an interactive safety decision aid with personalized safety plan; the control condition was usual safety planning resources. Both were delivered to participants through the secure study website. Main Outcome Measures This paper compared women’s decisional conflict about safety: total decisional conflict and the four subscales of this measure (feeling: uninformed, uncertain, unclear about safety priorities; and sensing lack of support) between intervention/control conditions. Data were collected 3/2011–5/2013 and analyzed 1/2014–3/2014. Results Immediately following the first use of the interactive safety decision aid, intervention women had significantly lower total decisional conflict than control women, controlling for baseline value of decisional conflict (p=0.002, effect size=.12). After controlling for baseline values, the safety decision aid group had significantly greater reduction in feeling uncertain (p=0.006, effect size=.07), and in feeling unsupported (p=0.008, effect size=.07) about safety than the usual safety planning group. Conclusions Abused women randomized to the safety

  4. How can models better aid the decision processes for the management of water resources?

    NASA Astrophysics Data System (ADS)

    Brugnach, M.; Pahl-Wostl, C.

    2007-12-01

    Despite the long history of development and use of models in policy making, there is still a poor integration between modeling and the decision process. This is influenced by several factors, such as a lack of understanding of models from policy makers, limitations in the applicability and use of models, modeller's behaviour, and a lack of stakeholder involvement in the whole modelling process. But, most relevant of all, is the fact that models are perceived as non reliable tools for policy making, due to the uncertainty associated with them and the lack of confidence this uncertainty generates. Commonly, in fields like natural resource management, and in particular water management, models are build to predict, in space or time, the state of the system to be managed (e.g. real time flood forecasting). These models are then used by policy makers as a surrogate of a real system to inform their decisions. In this view, the efficacy of a model depends on how well it can approximate reality and how much confidence policy makers can have on model's results. However, even though predictive models can be used to convey scientific argumentation that can aid decision making, these models fall short in supporting the processes of negotiation, learning, and communication, which constitute the basis for policy making. In this presentation we explore and discuss the relationship between models used in water resource management and policy making: how models can be used and how uncertainty should be treated depending on the purpose models are supposed to serve. We identify four major modeling purposes that are important for understanding and managing complex environmental systems: prediction, exploratory analysis, communication and learning, and investigate the implications of the different purposes in dealing with uncertainty. In predictive models, the presence of uncertainty is understood as a critical constraint for decision making, and as such it ought to be eliminated or

  5. The development of a web- and a print-based decision aid for prostate cancer screening

    PubMed Central

    2010-01-01

    Background Whether early detection and treatment of prostate cancer (PCa) will reduce disease-related mortality remains uncertain. As a result, tools are needed to facilitate informed decision making. While there have been several decision aids (DAs) developed and tested, very few have included an exercise to help men clarify their values and preferences about PCa screening. Further, only one DA has utilized an interactive web-based format, which allows for an expansion and customization of the material. We describe the development of two DAs, a booklet and an interactive website, each with a values clarification component and designed for use in diverse settings. Methods We conducted two feasibility studies to assess men's (45-70 years) Internet access and their willingness to use a web- vs. a print-based tool. The booklet was adapted from two previous versions evaluated in randomized controlled trials (RCTs) and the website was created to closely match the content of the revised booklet. Usability testing was conducted to obtain feedback regarding draft versions of the materials. The tools were also reviewed by a plain language expert and the interdisciplinary research team. Feedback on the content and presentation led to iterative modifications of the tools. Results The feasibility studies confirmed that the Internet was a viable medium, as the majority of men used a computer, had access to the Internet, and Internet use increased over time. Feedback from the usability testing on the length, presentation, and content of the materials was incorporated into the final versions of the booklet and website. Both the feasibility studies and the usability testing highlighted the need to address men's informed decision making regarding screening. Conclusions Informed decision making for PCa screening is crucial at present and may be important for some time, particularly if a definitive recommendation either for or against screening does not emerge from ongoing prostate

  6. Sensitivity of disease management decision aids to temperature input errors associated with out-of-canopy and reduced time-resolution measurements

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Plant disease management decision aids typically require inputs of weather elements such as air temperature. Whereas many disease models are created based on weather elements at the crop canopy, and with relatively fine time resolution, the decision aids commonly are implemented with hourly weather...

  7. Endodontic retreatment. Aspects of decision making and clinical outcome.

    PubMed

    Kvist, T

    2001-01-01

    regardless of assessment method. Compared with Standard gamble Visual Analogue Scale systematically produced lower ratings. U-values were found to change considerably in both the short and long-term. Any significant correlation between endodontists' U-values and retreatment prescriptions could not be demonstrated. Surgical and nonsurgical retreatment were randomly assigned to 95 "failed" root filled teeth in 92 patients. Cases were followed clinically and radiographically for four years postoperatively. At the 12-month recall a statistically significant higher healing rate was observed for teeth retreated surgically. At the final 48-month recall no systematic difference was detected. Patients were found to be more subject to postoperative discomfort when teeth were retreated surgically compared with nonsurgically. Consequently, surgical retreatment tended to be associated with higher indirect costs than a nonsurgically approach. In the final part of the thesis it is argued that retreatment decision making in everyday clinical practice normally should be based on simple principles. It is suggested that in order to achieve the best overall consequence a periapical lesion in a root filled tooth that is not expected to heal should be retreated. Arguments to withhold retreatment should be based on (i) respect for patient autonomy, (ii) retreatment risks or (iii) retreatment costs. PMID:11288682

  8. A systematic review of clinical decision rules for epilepsy.

    PubMed

    Josephson, Colin B; Sandy, Sherry; Jette, Nathalie; Sajobi, Tolulope T; Marshall, Deborah; Wiebe, Samuel

    2016-04-01

    Clinical decision rules (CDRs) have been empirically demonstrated to improve patient satisfaction and enhance cost-effective care. The use of CDRs has not yet been robustly explored for epilepsy. We performed a systematic review of MEDLINE (from 1946) and Embase (from 1947) using Medical Subject Headings and keywords related to CDRs and epilepsy. We included original research of any language deriving, validating, or implementing a CDR using standardized definitions. Study quality was determined using a modified version of previously published criteria. A bivariate model was used to meta-analyze studies undergoing sequential derivation and validation studies. Of 2445 unique articles, 5 were determined to be relevant to this review. Three were derivation studies (three diagnostic and one therapeutic), one validation study, and one combined derivation and validation study. No implementation studies were identified. Study quality varied but was primarily of a moderate level. Two CDRs were validated and, thus, able to be meta-analyzed. Although initial measures of accuracy were high (sensitivity ~80% or above), they tended to diminish significantly in the validation studies. The pooled estimates of sensitivity and specificity both exhibited wide 95% confidence and prediction intervals that may limit their utility in routine practice. Despite the advances in therapeutic and diagnostic interventions for epilepsy, few CDRs have been developed to guide their use. Future CDRs should address common clinical scenarios such as efficient use of diagnostic tools and optimal clinical treatment decisions. Given their potential for advancing efficient, evidence-based, patient-centered healthcare, CDR development should be a priority in epilepsy. PMID:26922491

  9. The Attitude of Physicians toward the Use of Patient Decision Aids in Iran as a Developing Country

    PubMed Central

    Rashidian, Hamideh; Nedjat, Saharnaz; Mounesan, Leila; Haghjou, Leila; Majdzadeh, Reza

    2015-01-01

    Background: The patient decision aids (PDAs), which can facilitate the decision-making process when choosing the optimal method of treatment, are a challenge to patients. This study tried to determine the attitude of physicians on the barriers of using PDAs in the way of prioritizing and proposing solutions to them. Methods: This study was a cross-sectional research carried out on 150 clinical faculty members of research centers and scientific associations affiliated with Tehran University of Medical Sciences. The participants were chosen using the convenience sampling method. The attitude of physicians toward the application of PDAs was interviewed using a self-made questionnaire composed of 23 questions. The association between physicians’ attitude to the use of PDAs and their characteristics was examined using the t-test, analysis of variance, and correlation test. Results: The mean score of physicians’ attitude was 76.2 (standard deviation =11.9) and the range was 33–107. There was a significant and direct association between the attitude toward the use of PDA and the respondents’ age (r = 0.237, P = 0.007), years of experience (r = 0.205, P = 0.02), being male (P = 0.04), and working in the private sector (P = 0.009). The attitude score of instructors was significantly lower than that of professors (P = 0.02). Conclusions: The general attitude of physicians toward the use of PDAs was positive. However, apparently as a result of problems mentioned in this study for the developing countries such as Iran, it is much easier to employ these tools in centers run by the private sector. Usage of such tools in public centers necessitates systemic infrastructure as well as credits and budgets required for the training of patients and physicians. PMID:25789150

  10. Application of the Consumer Decision-Making Model to Hearing Aid Adoption in First-Time Users

    PubMed Central

    Amlani, Amyn M.

    2016-01-01

    Since 1980, hearing aid adoption rates have remained essentially the same, increasing at a rate equal to the organic growth of the population. Researchers have used theoretical models from psychology and sociology to determine those factors or constructs that lead to the adoption of hearing aids by first-time impaired listeners entering the market. In this article, a theoretical model, the Consumer Decision-Making Model (CDM), premised on the neobehavioral approach that considers an individual's psychological and cognitive emphasis toward a product or service, is described. Three theoretical models (i.e., transtheoretical, social model of disability, Health Belief Model), and their relevant findings to the hearing aid market, are initially described. The CDM is then presented, along with supporting evidence of the model's various factors from the hearing aid literature. Future applications of the CDM to hearing health care also are discussed. PMID:27516718

  11. Integration of Visibility Sensors in NOAA PORTS® to aid in Decision Making for Safe Navigation

    NASA Astrophysics Data System (ADS)

    Roggenstein, E. B.

    2012-12-01

    The National Oceanic and Atmospheric Administration (NOAA) National Ocean Service (NOS) Physical Oceanographic Real-Time System (PORTS®) provides real-time water level, currents and meteorological data for aid to navigation in twenty-three major ports and harbors. In response to PORTS® users' requests for visibility data, NOS began testing several varieties of visibility sensors for operations in a marine environment. Extensive testing resulted in the selection of the Vaisala FS11 visibility sensor. The FS11 sensor uses forward scattering technology to measure the amount of scattering in a small volume of air between the transmitter and receiver, resulting in an extrapolated visibility at a set height out to 75 km. Two sensors have been successfully operating in the Mobile Bay PORTS® at Middle Bay Port and Pinto Island since installation in 2010. The sensors are positioned at a height of 3 m above the ground, 24 km apart along the western shore of the bay in areas susceptible to fog formation. Real-time data from these sensors are disseminated on NOAA's Center for Operational Oceanographic Products and Services (COOPS) PORTS® website every 6 minutes (min) and for distances up to 10 km (5.4 nm) from the instrument. This has proven to aid port pilots' decision making for safe movement of vessels in the harbor. Additionally, the Pinto Island sensor is located directly adjacent to the shipping channel - an area with high levels of atmospheric particulates of high carbon content. These particulates do not appear to have negatively affected sensor performance. This success has prompted interest in visibility sensors from other harbors with PORTS®. The ports of San Francisco, Narragansett Bay, Chesapeake Bay, Jacksonville FL, and Gulfport MS are planning or exploring the addition of visibility sensors to their PORTS® to aid in navigation. Additionally, the NOAA/COOPS Ocean System Test Evaluation Program (OSTEP) has continued with additional field testing of the FS11

  12. Scientific and regulatory challenges in evaluating clinical trial protocols for HIV-1/AIDS vaccines - A review from a regulatory perspective.

    PubMed

    Sheets, Rebecca L; Zhou, TieQun; Knezevic, Ivana

    2016-03-01

    Clinical development of prophylactic HIV/AIDS vaccines presents many scientific challenges that result in challenges for regulators reviewing clinical trial applications (CTAs). The World Health Organization (WHO) has the responsibility to provide technical support to these regulators. The search for an HIV/AIDS vaccine will only succeed through well-designed, -conducted and -controlled human efficacy studies reviewed and approved by regulators in countries worldwide, particularly in countries where the epidemic has hit hardest, such as in sub-Saharan Africa and Asia. This review summarizes the current candidates in development and focuses on challenges regulators face when reviewing CTAs, such as the evolving landscape of "standard of prevention," trials in adolescents, adaptive trial designs, correlates of protection and their analysis, and access to successful vaccines. There are many unknowns in the field of HIV/AIDS vaccine development and often, there is not a clear right or wrong approach because of the scientific challenges described in this review. Consequently, regulators should not feel that decisions need be made in isolation, when there are many available international collaborative efforts and opportunities to seek expert advice. The WHO provides many such opportunities and support to regulators across the globe. PMID:26732973

  13. Methodologic standards for interpreting clinical decision rules in emergency medicine: 2014 update.

    PubMed

    Green, Steven M; Schriger, David L; Yealy, Donald M

    2014-09-01

    Clinical decision rules are increasingly prominent in medicine, particularly in emergency care. The quality, use, and impact of current published decision rules widely vary, requiring clinicians to be critical consumers. We present an approach to assist in the appraisal of clinical decision rules and in judging when to use such rules. PMID:24530108

  14. Clinical decision support for perioperative information management systems.

    PubMed

    Wanderer, Jonathan P; Ehrenfeld, Jesse M

    2013-12-01

    Clinical decision support (CDS) systems are being used to optimize the increasingly complex care that our health care system delivers. These systems have become increasingly important in the delivery of perioperative care for patients undergoing cardiac, thoracic, and vascular procedures. The adoption of perioperative information management systems (PIMS) has allowed these technologies to enter the operating room and support the clinical work flow of anesthesiologists and operational processes. Constructing effective CDS systems necessitates an understanding of operative work flow and technical considerations as well as achieving integration with existing information systems. In this review, we describe published examples of CDS for PIMS, including support for cardiopulmonary bypass separation physiological alarms, β-blocker guideline adherence, enhanced revenue capture for arterial line placement, and detection of hemodynamic monitoring gaps. Although these and other areas are amenable to CDS systems, the challenges of latency and data reliability represent fundamental limitations on the potential application of these tools to specific types of clinical issues. Ultimately, we expect that CDS will remain an important tool in our efforts to optimize the quality of care delivered. PMID:23690340

  15. MATRIX - development and feasibility of a guide for quality assessment of patient decision aids

    PubMed Central

    Lenz, Matthias; Kasper, Jürgen

    2007-01-01

    Decision aids (DAs) are interventions designed to help people make specific and deliberative choices among options by providing information about the options and outcomes that is relevant to a person's health status. There is an ongoing discussion about the quality of DAs. The present article provides an overview on systematic approaches using various quality criteria. However, these evaluation guides are not yet implemented. Up to now quality assessment of DAs is often limited to the evidence on efficacy through controlled trials using single-outcome measures. Since DAs are multi-component interventions, single-outcome trials are not sufficient for complete quality assessment. Consideration of theoretical founding and the development process is required. In an earlier paper we proposed a novel concept of quality to meet this challenge. We introduced MATRIX a guide for quality assessment of DAs aimed at disclosing the rationale behind underpinning theories, methods, and goals of a DA. The present paper reports how the development of MATRIX progressed including results of pre-testing and a feasibility study. We present the revised version of MATRIX, explain its basic concept, and describe the way to use it. PMID:19742287

  16. The incorporation of high resolution climatological data into environmental tactical decision aids.

    SciTech Connect

    Hummel, J. R.; Campbell, A. P.; Kehrer, M. L.; Lurie, G. R.; Simunich, K. L.

    1999-09-23

    The environment can significantly impact the performance of weapons systems and how they are used in a theater of operations. A tool has been developed by the US Army Research Laboratory (ARL) to enable operators to assess the impact of environmental factors on the performance of military systems, subsystems, and components. The ARL system, the Integrated Weather Effects Decision Aid (IWEDA) takes weather and environmental data and compares them to a set of rules that relate environmental parameters to weapons system performance. The results from the IWEDA system can enable operators to identify regions and time periods when weapons system performance may be marginal or unfavorable. The Department of Defense (DOD) Air and Space Natural Environment (ASNE) Executive Agents have developed a program, the Advanced Climate Modeling and Environmental Simulations (ACMES), to produce high resolution gridded data for use in generating high resolution climate statistics from simulated weather observations at any desired location around the world. It is intended that data from the ACMES effort could be used by commanders to assess the environmental effects on operations. This paper describes an effort to use data generated from ACMES to drive the IWEDA rules on system performance. The results from this effort are high resolution, gridded values of weapons performance statistics that can be used to support the mission planning cycle.

  17. A prototype decision aid for evaluating and selecting R&D proposals

    SciTech Connect

    Al-Ayat, R.A.; Lamont, A.; Sicherman, A.

    1992-05-01

    This report describes a prototype decision aid which has been developed to assist the Institutional Research and Development (IR&D) Committee in selecting proposals for funding. This tool was requested to help address the following concerns about the IR&D proposal selection process: Some good proposals might be overlooked simply because no one on the Committee advocates them forcefully. The process takes a lot of time. The final portfolio of proposals selected may not maximize the long-run benefits to the Laboratory. These concerns stem from the observation that there is no formal framework for making distinctions between proposals, or weighing and comparing those distinctions. It was felt that the process could be improved by a framework that: Provides explicit descriptors that Committee members can use to evaluate and compare different features of proposals. Encourages the Committee to use a uniform, systematic scheme for evaluating the proposals. Helps the Committee focus more quickly on the issues that are truly relevant for distinguishing between proposals.

  18. Survey on computer aided decision support for diagnosis of celiac disease

    PubMed Central

    Hegenbart, Sebastian; Uhl, Andreas; Vécsei, Andreas

    2015-01-01

    Celiac disease (CD) is a complex autoimmune disorder in genetically predisposed individuals of all age groups triggered by the ingestion of food containing gluten. A reliable diagnosis is of high interest in view of embarking on a strict gluten-free diet, which is the CD treatment modality of first choice. The gold standard for diagnosis of CD is currently based on a histological confirmation of serology, using biopsies performed during upper endoscopy. Computer aided decision support is an emerging option in medicine and endoscopy in particular. Such systems could potentially save costs and manpower while simultaneously increasing the safety of the procedure. Research focused on computer-assisted systems in the context of automated diagnosis of CD has started in 2008. Since then, over 40 publications on the topic have appeared. In this context, data from classical flexible endoscopy as well as wireless capsule endoscopy (WCE) and confocal laser endomicrosopy (CLE) has been used. In this survey paper, we try to give a comprehensive overview of the research focused on computer-assisted diagnosis of CD. PMID:25770906

  19. An architecture for integrating distributed and cooperating knowledge-based Air Force decision aids

    NASA Technical Reports Server (NTRS)

    Nugent, Richard O.; Tucker, Richard W.

    1988-01-01

    MITRE has been developing a Knowledge-Based Battle Management Testbed for evaluating the viability of integrating independently-developed knowledge-based decision aids in the Air Force tactical domain. The primary goal for the testbed architecture is to permit a new system to be added to a testbed with little change to the system's software. Each system that connects to the testbed network declares that it can provide a number of services to other systems. When a system wants to use another system's service, it does not address the server system by name, but instead transmits a request to the testbed network asking for a particular service to be performed. A key component of the testbed architecture is a common database which uses a relational database management system (RDBMS). The RDBMS provides a database update notification service to requesting systems. Normally, each system is expected to monitor data relations of interest to it. Alternatively, a system may broadcast an announcement message to inform other systems that an event of potential interest has occurred. Current research is aimed at dealing with issues resulting from integration efforts, such as dealing with potential mismatches of each system's assumptions about the common database, decentralizing network control, and coordinating multiple agents.

  20. Values clarification in a decision aid about fertility preservation: does it add to information provision?

    PubMed Central

    2014-01-01

    Background We aimed to evaluate the effect of a decision aid (DA) with information only compared to a DA with values clarification exercise (VCE), and to study the role of personality and information seeking style in DA-use, decisional conflict (DC) and knowledge. Methods Two scenario-based experiments were conducted with two different groups of healthy female participants. Dependent measures were: DC, knowledge, and DA-use (time spent, pages viewed, VCE used). Respondents were randomized between a DA with information only (VCE-) and a DA with information plus a VCE(VCE+) (experiment 1), or between information only (VCE-), information plus VCE without referral to VCE(VCE+), and information plus a VCE with specific referral to the VCE, requesting participants to use the VCE(VCE++) (experiment 2). In experiment 2 we additionally measured personality (neuroticism/conscientiousness) and information seeking style (monitoring/blunting). Results Experiment 1. There were no differences in DC, knowledge or DA-use between VCE- (n=70) and VCE+ (n=70). Both DAs lead to a mean gain in knowledge from 39% at baseline to 73% after viewing the DA. Within VCE+, VCE-users (n=32, 46%) reported less DC compared to non-users. Since there was no difference in DC between VCE- and VCE+, this is likely an effect of VCE-use in a self-selected group, and not of the VCE per se. Experiment 2. There were no differences in DC or knowledge between VCE- (n=65), VCE+ (n=66), VCE++ (n=66). In all groups, knowledge increased on average from 42% at baseline to 72% after viewing the DA. Blunters viewed fewer DA-pages (R=0.38, p<.001). More neurotic women were less certain (R=0.18, p<.01) and felt less supported in decision making (R=0.15, p<.05); conscientious women felt more certain (R=-0.15, p<.05) and had more knowledge after viewing the DA (R=0.15, p<.05). Conclusions Both DAs lead to increased knowledge in healthy populations making hypothetical decisions, and use of the VCE did not improve

  1. Optimizing perioperative decision making: improved information for clinical workflow planning.

    PubMed

    Doebbeling, Bradley N; Burton, Matthew M; Wiebke, Eric A; Miller, Spencer; Baxter, Laurence; Miller, Donald; Alvarez, Jorge; Pekny, Joseph

    2012-01-01

    Perioperative care is complex and involves multiple interconnected subsystems. Delayed starts, prolonged cases and overtime are common. Surgical procedures account for 40-70% of hospital revenues and 30-40% of total costs. Most planning and scheduling in healthcare is done without modern planning tools, which have potential for improving access by assisting in operations planning support. We identified key planning scenarios of interest to perioperative leaders, in order to examine the feasibility of applying combinatorial optimization software solving some of those planning issues in the operative setting. Perioperative leaders desire a broad range of tools for planning and assessing alternate solutions. Our modeled solutions generated feasible solutions that varied as expected, based on resource and policy assumptions and found better utilization of scarce resources. Combinatorial optimization modeling can effectively evaluate alternatives to support key decisions for planning clinical workflow and improving care efficiency and satisfaction. PMID:23304284

  2. Optimizing Perioperative Decision Making: Improved Information for Clinical Workflow Planning

    PubMed Central

    Doebbeling, Bradley N.; Burton, Matthew M.; Wiebke, Eric A.; Miller, Spencer; Baxter, Laurence; Miller, Donald; Alvarez, Jorge; Pekny, Joseph

    2012-01-01

    Perioperative care is complex and involves multiple interconnected subsystems. Delayed starts, prolonged cases and overtime are common. Surgical procedures account for 40–70% of hospital revenues and 30–40% of total costs. Most planning and scheduling in healthcare is done without modern planning tools, which have potential for improving access by assisting in operations planning support. We identified key planning scenarios of interest to perioperative leaders, in order to examine the feasibility of applying combinatorial optimization software solving some of those planning issues in the operative setting. Perioperative leaders desire a broad range of tools for planning and assessing alternate solutions. Our modeled solutions generated feasible solutions that varied as expected, based on resource and policy assumptions and found better utilization of scarce resources. Combinatorial optimization modeling can effectively evaluate alternatives to support key decisions for planning clinical workflow and improving care efficiency and satisfaction. PMID:23304284

  3. Details of a Successful Clinical Decision Support System

    PubMed Central

    Friedlin, Jeff; Dexter, Paul R.; Overhage, J. Marc

    2007-01-01

    Computerized physician order entry (CPOE) with clinical decision support (CDS) is regarded as one of the most effective ways to improve the quality of health care and increase patient safety. As electronic medical records become more available, such systems will increasingly become the method of choice to achieve these goals. Creating a CPOE/CDS system is a complex task, and some fail despite time consuming and expensive development. The CPOE system at the Regenstrief Institute incorporates sophisticated CDS and is one of the oldest and most successful in the U.S. Many years in development, it is currently used by hundreds of providers. Our well established, successful system can serve as a template or model for the future development of similar systems. We recently completed a full analysis of our CPOE/CDS system and present details of its structure, functionality and contents. PMID:18693837

  4. Clinical implementation of RNA signatures for pharmacogenomic decision-making

    PubMed Central

    Tang, Weihua; Hu, Zhiyuan; Muallem, Hind; Gulley, Margaret L

    2011-01-01

    RNA profiling is increasingly used to predict drug response, dose, or toxicity based on analysis of drug pharmacokinetic or pharmacodynamic pathways. Before implementing multiplexed RNA arrays in clinical practice, validation studies are carried out to demonstrate sufficient evidence of analytic and clinical performance, and to establish an assay protocol with quality assurance measures. Pathologists assure quality by selecting input tissue and by interpreting results in the context of the input tissue as well as the technologies that were used and the clinical setting in which the test was ordered. A strength of RNA profiling is the array-based measurement of tens to thousands of RNAs at once, including redundant tests for critical analytes or pathways to promote confidence in test results. Instrument and reagent manufacturers are crucial for supplying reliable components of the test system. Strategies for quality assurance include careful attention to RNA preservation and quality checks at pertinent steps in the assay protocol, beginning with specimen collection and proceeding through the various phases of transport, processing, storage, analysis, interpretation, and reporting. Specimen quality is checked by probing housekeeping transcripts, while spiked and exogenous controls serve as a check on analytic performance of the test system. Software is required to manipulate abundant array data and present it for interpretation by a laboratory physician who reports results in a manner facilitating therapeutic decision-making. Maintenance of the assay requires periodic documentation of personnel competency and laboratory proficiency. These strategies are shepherding genomic arrays into clinical settings to provide added value to patients and to the larger health care system. PMID:23226056

  5. Effectiveness of the Chest Pain Choice decision aid in emergency department patients with low-risk chest pain: study protocol for a multicenter randomized trial

    PubMed Central

    2014-01-01

    Background Chest pain is the second most common reason patients visit emergency departments (EDs) and often results in very low-risk patients being admitted for prolonged observation and advanced cardiac testing. Shared decision-making, including educating patients regarding their 45-day risk for acute coronary syndrome (ACS) and management options, might safely decrease healthcare utilization. Methods/Design This is a protocol for a multicenter practical patient-level randomized trial to compare an intervention group receiving a decision aid, Chest Pain Choice (CPC), to a control group receiving usual care. Adults presenting to five geographically and ethnically diverse EDs who are being considered for admission for observation and advanced cardiac testing will be eligible for enrollment. We will measure the effect of CPC on (1) patient knowledge regarding their 45-day risk for ACS and the available management options (primary outcome); (2) patient engagement in the decision-making process; (3) the degree of conflict patients experience related to feeling uninformed (decisional conflict); (4) patient and clinician satisfaction with the decision made; (5) the rate of major adverse cardiac events at 30 days; (6) the proportion of patients admitted for advanced cardiac testing; and (7) healthcare utilization. To assess these outcomes, we will administer patient and clinician surveys immediately after each clinical encounter, obtain video recordings of the patient-clinician discussion, administer a patient healthcare utilization diary, analyze hospital billing records, review the electronic medical record, and conduct telephone follow-up. Discussion This multicenter trial will robustly assess the effectiveness of a decision aid on patient-centered outcomes, safety, and healthcare utilization in low-risk chest pain patients from a variety of geographically and ethnically diverse EDs. Trial registration NCT01969240. PMID:24884807

  6. Effects of Instructional Aids on the Acquisition of Dynamic Decision-Making Skills

    ERIC Educational Resources Information Center

    Frederiksen, Christian; Kehoe, E. James; Wood, Robert

    2011-01-01

    This study tested the effects of two instructional aids in a complex, dynamic environment, specifically, a business simulation. Participants studied (1) a "causal map," which depicted key variables in an interconnected network, (2) a textual outline of the same relationships, or (3) no-aid. With the relevant aid still available, the participants…

  7. Individual risk of cutaneous melanoma in New Zealand: developing a clinical prediction aid

    PubMed Central

    2014-01-01

    Background New Zealand and Australia have the highest melanoma incidence rates worldwide. In New Zealand, both the incidence and thickness have been increasing. Clinical decisions require accurate risk prediction but a simple list of genetic, phenotypic and behavioural risk factors is inadequate to estimate individual risk as the risk factors for melanoma have complex interactions. In order to offer tailored clinical management strategies, we developed a New Zealand prediction model to estimate individual 5-year absolute risk of melanoma. Methods A population-based case–control study (368 cases and 270 controls) of melanoma risk factors provided estimates of relative risks for fair-skinned New Zealanders aged 20–79 years. Model selection techniques and multivariate logistic regression were used to determine the important predictors. The relative risks for predictors were combined with baseline melanoma incidence rates and non-melanoma mortality rates to calculate individual probabilities of developing melanoma within 5 years. Results For women, the best model included skin colour, number of moles > =5 mm on the right arm, having a 1st degree relative with large moles, and a personal history of non-melanoma skin cancer (NMSC). The model correctly classified 68% of participants; the C-statistic was 0.74. For men, the best model included age, place of occupation up to age 18 years, number of moles > =5 mm on the right arm, birthplace, and a history of NMSC. The model correctly classified 67% of cases; the C-statistic was 0.71. Conclusions We have developed the first New Zealand risk prediction model that calculates individual absolute 5-year risk of melanoma. This model will aid physicians to identify individuals at high risk, allowing them to individually target surveillance and other management strategies, and thereby reduce the high melanoma burden in New Zealand. PMID:24884419

  8. Cross-Cultural Differences in Choice Behavior and Use of Decision Aids: A Comparison of Japan and the United States.

    PubMed

    Chu; Spires; Sueyoshi

    1999-02-01

    A controlled laboratory study was conducted to investigate the effect of cultural differences on decision strategy. Participants from two cultures (Japan and the United States) completed multi-attribute preferential choice tasks with and without use of computerized decision aids. The results indicate that Japanese participants were less likely to invoke compensatory decision processes, which involve conflict-confronting assessment of trade-offs among attributes. This behavior is consistent with some cultural differences described in extant literature. The results call into question the generalizability across cultures of descriptive decision theories, which come largely from the West, and suggest the need for descriptive theories that incorporate cultural factors. Copyright 1999 Academic Press. PMID:10069944

  9. Reducing inappropriate ESR testing with computerized clinical decision support

    PubMed Central

    Gottheil, Stephanie; Khemani, Ekta; Copley, Katherine; Keeney, Michael; Kinney, Jeff; Chin-Yee, Ian; Gob, Alan

    2016-01-01

    Laboratory test overutilization increases health care costs, leads to unwarranted investigations, and may have a negative impact on health outcomes. The American Society of Clinical Pathology, in its Choosing Wisely Campaign, advocates that inflammation be investigated with C-reactive protein (CRP) instead of Erythrocyte Sedimentation Rate (ESR). London Health Sciences Centre (LHSC), a tertiary care hospital organization in Ontario, Canada, set a goal to reduce inappropriate ESR orders by 50%. After developing appropriateness criteria for ESR, we used a series of PDSA cycles to reduce inappropriate ESR ordering and analyzed our results with an interrupted time series design. Our intervention began with an educational bulletin and moved to city-wide implementation of computerized Clinical Decision Support (CDS). After implementation, ESR orders decreased by 40% from 386 orders per week to 241 orders per week. Our results are supported by previous literature on the effectiveness of CDS in reducing overutilization and suggest that provider habit is a significant contributor to inappropriate ordering. PMID:27096092

  10. Reducing inappropriate ESR testing with computerized clinical decision support.

    PubMed

    Gottheil, Stephanie; Khemani, Ekta; Copley, Katherine; Keeney, Michael; Kinney, Jeff; Chin-Yee, Ian; Gob, Alan

    2016-01-01

    Laboratory test overutilization increases health care costs, leads to unwarranted investigations, and may have a negative impact on health outcomes. The American Society of Clinical Pathology, in its Choosing Wisely Campaign, advocates that inflammation be investigated with C-reactive protein (CRP) instead of Erythrocyte Sedimentation Rate (ESR). London Health Sciences Centre (LHSC), a tertiary care hospital organization in Ontario, Canada, set a goal to reduce inappropriate ESR orders by 50%. After developing appropriateness criteria for ESR, we used a series of PDSA cycles to reduce inappropriate ESR ordering and analyzed our results with an interrupted time series design. Our intervention began with an educational bulletin and moved to city-wide implementation of computerized Clinical Decision Support (CDS). After implementation, ESR orders decreased by 40% from 386 orders per week to 241 orders per week. Our results are supported by previous literature on the effectiveness of CDS in reducing overutilization and suggest that provider habit is a significant contributor to inappropriate ordering. PMID:27096092

  11. Evaluating clinical decision support rules as an intervention in clinician workflows with technology.

    PubMed

    Brokel, Jane M; Schwichtenberg, Tamara J; Wakefield, Douglas S; Ward, Marcia M; Shaw, Michael G; Kramer, J Michael

    2011-01-01

    The implementation of electronic health records in rural settings generated new challenges beyond those seen in urban hospitals. The preparation, implementation, and sustaining of clinical decision support rules require extensive attention to standards, content design, support resources, expert knowledge, and more. A formative evaluation was used to present progress and evolution of clinical decision support rule implementation and use within clinician workflows for application in an electronic health record. The rural hospital was able to use clinical decision support rules from five urban hospitals within its system to promote safety, prevent errors, establish evidence-based practices, and support communication. This article describes tools to validate initial 54 clinical decision support rules used in a rural referral hospital and 17 used in clinics. Since 2005, the study hospital has added specific system clinical decision support rules for catheter-acquired urinary tract infection, deep venous thrombosis, heart failure, and more. The findings validate the use of clinical decision support rules across sites and ability to use existing indicators to measure outcomes. Rural hospitals can rapidly overcome the barriers to prepare and implement as well as sustain use of clinical decision support rules with a systemized approach and support structures. A model for design and validation of clinical decision support rules into workflow processes is presented. The replication and reuse of clinical decision support rule templates with data specifications that follow data models can support reapplication of the rule intervention in subsequent rural and critical access hospitals through system support resources. PMID:21099543

  12. A rule-based clinical decision model to support interpretation of multiple data in health examinations.

    PubMed

    Kuo, Kuan-Liang; Fuh, Chiou-Shann

    2011-12-01

    Health examinations can obtain relatively complete health information and thus are important for the personal and public health management. For clinicians, one of the most important works in the health examinations is to interpret the health examination results. Continuously interpreting numerous health examination results of healthcare receivers is tedious and error-prone. This paper proposes a clinical decision support system to assist solving above problems. In order to customize the clinical decision support system intuitively and flexibly, this paper also proposes the rule syntax to implement computer-interpretable logic for health examinations. It is our purpose in this paper to describe the methodology of the proposed clinical decision support system. The evaluation was performed by the implementation and execution of decision rules on health examination results and a survey on clinical decision support system users. It reveals the efficiency and user satisfaction of proposed clinical decision support system. Positive impact of clinical data interpretation is also noted. PMID:20703517

  13. Rafsanjan AIDS clinic 1996-2005: problems faced and solutions found.

    PubMed

    Shekholeslami, N Z; Rezaeian, M

    2009-01-01

    In response to the growing number of the HIV-positive patients in the Islamic Republic of Iran, the Iranian Ministry of Health and Education established several special clinics in all Iranian provinces to provide treatment and care to HIV-positive patients. The Rafsanjan AIDS Clinic is one such clinic that was set up in 1996. Running such a clinic is not without difficulties, given the nature of the infection and the stigmas associated with it. In this brief report we discuss some of the problems faced at our clinic and the solutions found to overcome them. PMID:20187558

  14. High-energy laser tactical decision aid (HELTDA) for mission planning and predictive avoidance

    NASA Astrophysics Data System (ADS)

    Burley, Jarred L.; Fiorino, Steven T.; Randall, Robb M.; Bartell, Richard J.; Cusumano, Salvatore J.

    2012-06-01

    This study demonstrates the development of a high energy laser tactical decision aid (HELTDA) by the AFIT/CDE for mission planning High Energy Laser (HEL) weapon system engagements as well as centralized, decentralized, or hybrid predictive avoidance (CPA/DPA/HPA) assessments. Analyses of example HEL mission engagements are described as well as how mission planners are expected to employ the software. Example HEL engagement simulations are based on geographic location and recent/current atmospheric weather conditions. The atmospheric effects are defined through the AFIT/CDE Laser Environmental Effects Definition and Reference (LEEDR) model or the High Energy Laser End-to-End Operational Simulation (HELEEOS) model upon which the HELTDA is based. These models enable the creation of vertical profiles of temperature, pressure, water vapor content, optical turbulence, and atmospheric particulates and hydrometeors as they relate to line-by-line layer extinction coefficient magnitude at wavelengths from the UV to the RF. Seasonal and boundary layer variations (summer/winter) and time of day variations for a range of relative humidity percentile conditions are considered to determine optimum efficiency in a specific environment. Each atmospheric particulate/hydrometeor is evaluated based on its wavelength-dependent forward and off-axis scattering characteristics and absorption effects on the propagating environment to and beyond the target. In addition to realistic vertical profiles of molecular and aerosol absorption and scattering, correlated optical turbulence profiles in probabilistic (percentile) format are included. Numerical weather model forecasts are incorporated in the model to develop comprehensive understanding of HEL weapon system performance.

  15. Evaluation of the Ryegrass Stem Rust Model STEMRUST_G and Its Implementation as a Decision Aid.

    PubMed

    Pfender, W F; Coop, L B; Seguin, S G; Mellbye, M E; Gingrich, G A; Silberstein, T B

    2015-01-01

    STEMRUST_G, a simulation model for epidemics of stem rust in perennial ryegrass grown to maturity as a seed crop, was validated for use as a heuristic tool and as a decision aid for disease management with fungicides. Multistage validation had been used in model creation by incorporating previously validated submodels for infection, latent period duration, sporulation, fungicide effects, and plant growth. Validation of the complete model was by comparison of model output with observed disease severities in 35 epidemics at nine location-years in the Pacific Northwest of the United States. We judge the model acceptable for its purposes, based on several tests. Graphs of modeled disease progress were generally congruent with plotted disease severity observations. There was negligible average bias in the 570 modeled-versus-observed comparisons across all data, although there was large variance in size of the deviances. Modeled severities were accurate in >80% of the comparisons, where accuracy is defined as the modeled value being within twice the 95% confidence interval of the observed value, within ±1 day of the observation date. An interactive website was created to produce disease estimates by running STEMRUST_G with user-supplied disease scouting information and automated daily weather data inputs from field sites. The model and decision aid supplement disease managers' information by estimating the level of latent (invisible) and expressed disease since the last scouting observation, given season-long weather conditions up to the present, and it estimates effects of fungicides on epidemic development. In additional large-plot experiments conducted in grower fields, the decision aid produced disease management outcomes (management cost and seed yield) as good as or better than the growers' standard practice. In future, STEMRUST_G could be modified to create similar models and decision aids for stem rust of wheat and barley, after additional experiments to

  16. Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data.

    PubMed

    Segagni, Daniele; Sacchi, Lucia; Dagliati, Arianna; Tibollo, Valentina; Leporati, Paola; De Cata, Pasqale; Chiovato, Luca; Bellazzi, Riccardo

    2015-01-01

    This work describes an integrated informatics system developed to collect and display clinically relevant data that can inform physicians and researchers about Type 2 Diabetes Mellitus (T2DM) patient clinical pathways and therapy adherence. The software we developed takes data coming from the electronic medical record (EMR) of the IRCCS Fondazione Maugeri (FSM) hospital of Pavia, Italy, and combines the data with administrative, pharmacy drugs (purchased from the local healthcare agency (ASL) of the Pavia area), and open environmental data of the same region. By using different use cases, we explain the importance of gathering and displaying the data types through a single informatics tool: the use of the tool as a calculator of risk factors and indicators to improve current detection of T2DM, a generator of clinical pathways and patients' behaviors from the point of view of the hospital care management, and a decision support tool for follow-up visits. The results of the performed data analysis report how the use of the dashboard displays meaningful clinical decisions in treating complex chronic diseases and might improve health outcomes. PMID:26262138

  17. Clinical Decision Support for Early Recognition of Sepsis

    PubMed Central

    Amland, Robert C.; Hahn-Cover, Kristin E.

    2014-01-01

    Sepsis is an inflammatory response triggered by infection, with a high in-hospital mortality rate. Early recognition and treatment can reverse the inflammatory response, with evidence of improved patient outcomes. One challenge clinicians face is identifying the inflammatory syndrome against the background of the patient’s infectious illness and comorbidities. An approach to this problem is implementation of computerized early warning tools for sepsis. This multicenter retrospective study sought to determine clinimetric performance of a cloud-based computerized sepsis clinical decision support system (CDS), understand the epidemiology of sepsis, and identify opportunities for quality improvement. Data encompassed 6200 adult hospitalizations from 2012 through 2013. Of 13% patients screened-in, 51% were already suspected to have an infection when the system activated. This study focused on a patient cohort screened-in before infection was suspected; median time from arrival to CDS activation was 3.5 hours, and system activation to diagnostic collect was another 8.6 hours. PMID:25385815

  18. The pros and cons of funnel plots as an aid to risk communication and patient decision making.

    PubMed

    Rakow, Tim; Wright, Rebecca J; Spiegelhalter, David J; Bull, Catherine

    2015-05-01

    Funnel plots, which simultaneously display a sample statistic and the corresponding sample size for multiple cases, have a range of applications. In medicine, they are used to display treatment outcome rates and caseload volume by institution, which can inform strategic decisions about health care delivery. We investigated lay people's understanding of such plots and explored their suitability as an aid to individual treatment decisions. In two studies, 172 participants answered objective questions about funnel plots representing the surgical outcomes (survival or mortality rates) of institutions varying in caseload, and indicated their preferred institutions. Accuracy for extracting objective information was high, unless question phrasing was inconsistent with the plot's survival/mortality framing, or participants had low numeracy levels. Participants integrated caseload-volume and outcome-rate data when forming preferences, but were influenced by reference lines on the plot to make inappropriate discriminations between institutions with similar outcome rates. With careful choice of accompanying language, funnel plots can be readily understood and are therefore a useful tool for communicating risk. However, they are less effective as a decision aid for individual patient's treatment decisions, and we recommend refinements to the standard presentation of the plots if they are to be used for that purpose. PMID:25123852

  19. A two-stage clinical decision support system for early recognition and stratification of patients with sepsis: an observational cohort study

    PubMed Central

    Lyons, Jason J; Greene, Tracy L; Haley, James M

    2015-01-01

    Objective To examine the diagnostic accuracy of a two-stage clinical decision support system for early recognition and stratification of patients with sepsis. Design Observational cohort study employing a two-stage sepsis clinical decision support to recognise and stratify patients with sepsis. The stage one component was comprised of a cloud-based clinical decision support with 24/7 surveillance to detect patients at risk of sepsis. The cloud-based clinical decision support delivered notifications to the patients’ designated nurse, who then electronically contacted a provider. The second stage component comprised a sepsis screening and stratification form integrated into the patient electronic health record, essentially an evidence-based decision aid, used by providers to assess patients at bedside. Setting Urban, 284 acute bed community hospital in the USA; 16,000 hospitalisations annually. Participants Data on 2620 adult patients were collected retrospectively in 2014 after the clinical decision support was implemented. Main outcome measure ‘Suspected infection’ was the established gold standard to assess clinical decision support clinimetric performance. Results A sepsis alert activated on 417 (16%) of 2620 adult patients hospitalised. Applying ‘suspected infection’ as standard, the patient population characteristics showed 72% sensitivity and 73% positive predictive value. A postalert screening conducted by providers at bedside of 417 patients achieved 81% sensitivity and 94% positive predictive value. Providers documented against 89% patients with an alert activated by clinical decision support and completed 75% of bedside screening and stratification of patients with sepsis within one hour from notification. Conclusion A clinical decision support binary alarm system with cross-checking functionality improves early recognition and facilitates stratification of patients with sepsis. PMID:26688744

  20. Quality assurance and training procedures for computer-aided detection and diagnosis systems in clinical use.

    PubMed

    Huo, Zhimin; Summers, Ronald M; Paquerault, Sophie; Lo, Joseph; Hoffmeister, Jeffrey; Armato, Samuel G; Freedman, Matthew T; Lin, Jesse; Lo, Shih-Chung Ben; Petrick, Nicholas; Sahiner, Berkman; Fryd, David; Yoshida, Hiroyuki; Chan, Heang-Ping

    2013-07-01

    Computer-aided detection/diagnosis (CAD) is increasingly used for decision support by clinicians for detection and interpretation of diseases. However, there are no quality assurance (QA) requirements for CAD in clinical use at present. QA of CAD is important so that end users can be made aware of changes in CAD performance both due to intentional or unintentional causes. In addition, end-user training is critical to prevent improper use of CAD, which could potentially result in lower overall clinical performance. Research on QA of CAD and user training are limited to date. The purpose of this paper is to bring attention to these issues, inform the readers of the opinions of the members of the American Association of Physicists in Medicine (AAPM) CAD subcommittee, and thus stimulate further discussion in the CAD community on these topics. The recommendations in this paper are intended to be work items for AAPM task groups that will be formed to address QA and user training issues on CAD in the future. The work items may serve as a framework for the discussion and eventual design of detailed QA and training procedures for physicists and users of CAD. Some of the recommendations are considered by the subcommittee to be reasonably easy and practical and can be implemented immediately by the end users; others are considered to be "best practice" approaches, which may require significant effort, additional tools, and proper training to implement. The eventual standardization of the requirements of QA procedures for CAD will have to be determined through consensus from members of the CAD community, and user training may require support of professional societies. It is expected that high-quality CAD and proper use of CAD could allow these systems to achieve their true potential, thus benefiting both the patients and the clinicians, and may bring about more widespread clinical use of CAD for many other diseases and applications. It is hoped that the awareness of the need

  1. FAmily CEntered (FACE) advance care planning: Study design and methods for a patient-centered communication and decision-making intervention for patients with HIV/AIDS and their surrogate decision-makers

    PubMed Central

    Kimmel, Allison L.; Wang, Jichuan; Scott, Rachel; Briggs, Linda; Lyon, Maureen E.

    2016-01-01

    Although the Human Immunodeficiency Virus/Acquired Immunodeficiency Syndrome (HIV/AIDS) has become a chronic illness, disease-specific advance care planning has not yet been evaluated for the palliative care needs of adults with HIV/AIDS. This prospective, longitudinal, randomized, two-arm controlled clinical trial aims to test the efficacy of FAmily CEntered Advance Care Planning among adults living with AIDS and/or HIV with co-morbidities on congruence in treatment preferences, healthcare utilization, and quality of life. The FAmily CEntered intervention arm is two face-to-face sessions with a trained, certified facilitator: Session 1) Disease-Specific Advance Care Planning Respecting Choices Interview; Session 2) Completion of advance directive. The Healthy Living control arm is: Session 1) Developmental/Relationship History; Session 2) Nutrition. Follow-up data will be collected at 3, 6, 12, and 18-month post-intervention. A total of 288 patient/surrogate dyads will be enrolled from five hospital-based, out-patient clinics in Washington, District of Columbia. Participants will be HIV positive and ≥21 years of age; surrogates will be ≥18 years of age. Exclusion criteria are homicidality, suicidality, psychosis, and impaired cognitive functioning. We hypothesize that this intervention will enhance patient-centered communication with a surrogate decision-maker about end of life treatment preferences over time, enhance patient quality of life and decrease health care utilization. We further hypothesize that this intervention will decrease health disparities for Blacks in completion of advance directives. If proposed aims are achieved, the benefits of palliative care, particularly increased treatment preferences about end-of-life care and enhanced quality of life, will be extended to people living with AIDS. PMID:26044463

  2. Minorities Remain Underrepresented in HIV/AIDS Research Despite Access to Clinical Trials

    PubMed Central

    Castillo-Mancilla, Jose R.; Cohn, Susan E.; Krishnan, Supriya; Cespedes, Michelle; Floris-Moore, Michelle; Schulte, Gail; Pavlov, Gregory; Mildvan, Donna; Smith, Kimberly Y.

    2014-01-01

    Background The reasons for minority underrepresentation in HIV/AIDS clinical trials remain unclear. We aimed to evaluate the knowledge, experience and factors that influence minority participation in HIV/AIDS studies in the US. Methods An anonymous, bilingual, self-administered survey on study participation was given to HIV-infected adults attending AIDS Clinical Trials Group-affiliated clinics in the US and Puerto Rico. Chi-square tests were used to evaluate differences by race/first language/level of education. Logistic regression was used to estimate odds ratio (OR) and 95% confidence interval (CI) for factors associated with being talked to about participation in a study. Results We analyzed 2,175 complete surveys (221 in Spanish). Among respondents, 31% were White, 40% black/African American (AA) and 21% Hispanic. The overall rate of previous participation in any HIV/AIDS study was 48%. Hispanics were less likely to know about studies compared to whites and AAs (67% vs. 74% and 76%; p<0.001). Compared to whites, AAs and Hispanics were less likely to have been talked to about participating in a study (76% vs. 67% and 67%; p<0.001). The OR for being talked to about participating in a study was 0.65 (95% CI: 0.52–0.81) for AAs and 0.65 (95% CI: 0.49–0.85) for Hispanics, compared to whites. AAs and Hispanics were more likely to state that studies were not friendly to their race (17% and 10% vs. 4%; p<0.001). Conclusions Minorities continue to face barriers for HIV/AIDS trial participation, even when clinical research is available. Enrollment strategies should better target minorities to improve recruitment in HIV/AIDS research. PMID:24518211

  3. The Design of an IEP Decision Aid: A Tool for Diverse Parents of Children with Autism

    ERIC Educational Resources Information Center

    Schuttler, Jessica Oeth

    2012-01-01

    Decision-making is a universal process that occurs constantly in life. Parent participation in educational decision-making is recognized as important by special education law, by special education and school psychology literature (Christenson & Sheridan, 2001; IDEIA, 2004;). Partnership in decision-making is especially important for parents of…

  4. Predictors of Medication Adherence in an AIDS Clinical Trial: Patient and Clinician Perceptions

    ERIC Educational Resources Information Center

    Cox, Lisa E.

    2009-01-01

    This article presents data from an AIDS clinical trial that evaluated 238 (60 percent nonwhite) patients infected with HIV and their clinician's perceptions of medication adherence and visit attendance in relationship to lifestyle, psychosocial, and health belief model (HBM) variables. Twelve sites collected data via a prospective, multisite…

  5. EPA Growing DASEES (Decision Analysis For A Sustainable Environment, Economy & Society) - To Aid In Making Decisions On Complex Environmental Issues

    EPA Science Inventory

    Having a framework and tools to help sort through complicated environmental issues in an objective way would be useful to communities and risk managers, and all the stakeholders affected by these issues. This is one need that DASEES (Decision Analysis for a Sustainable En...

  6. A framework for genomic biomarker actionability and its use in clinical decision making

    PubMed Central

    Janku, Filip; Garrido-Laguna, Ignacio; Munoz, Javier; Schwab, Richard; Subbiah, Vivek; Rodon, Jordi; Kurzrock, Razelle

    2014-01-01

    The increasing scope and availability of genetic testing options for patients suffering from cancer has raised questions about how to use results of molecular diagnostics to inform patient care. For some biomarkers (e.g. BRAF mutations in melanoma), standards exist that outline treatments for individuals harboring aberrations in the biomarker; however for the vast majority of genomic abnormalities, few guidelines exist. Clinical decision making and the therapeutic approach for a patient with a given cancer characterized by aberrations in different genes may be aided by the use of a biomarker actionability framework that provides levels of evidence regarding whether and how a molecular abnormality can be considered a therapeutically relevant biomarker. A gene may be considered theoretically actionable if it has a basis of actionability, such that clinically available drugs can target a gene product that drives the cancer or is differentially expressed in tumor versus normal elements. Herein, we discuss a possible framework for developing guidelines for actionability, as they relate to genomically-based cancer therapeutics. PMID:25593991

  7. Decision analysis in the clinical neurosciences: a systematic review of the literature.

    PubMed

    Dippel, D W; Habbema, J D

    1995-12-01

    Clinical decision analysis can be a useful scientific tool for individual patient management, for planning of clinical research and for reaching consensus about clinical problems. We systematically reviewed the decision analytic studies in the clinical neurosciences that were published between 1975 and July 1994. All studies were assessed on aspects of clinical applicability: presence of case and context description, completeness of the analysed strategies from a clinical point of view, extendibility of the analyses to different patient profiles, and up-to-date-ness. Fifty-nine decision analyses of twenty-eight different clinical problems were identified. Twenty-eight analyses were based on the theory of subjective expected utility, twelve on cost-effectiveness analysis. Four studies used ROC analysis, and fifteen were risk-, or risk-benefit analyses. At least six studies could have been improved by more elaborately disclosing the context of the clinical problem that was addressed. In eleven studies, the effect of different, yet plausible assumptions was not explored, and in eighteen studies the reader was not informed how to extend the results of the analysis to patients with (slightly) different clinical characterisitics. All studies had, by nature, the potential to promote insight into the clinical problem and focus the discussion on clinically important aspects, and gave clinically useful advice. We conclude that clinical decision analysis, as an explicit, quantitative approach to uncertainty in decision making in the clinical neurosciences will fulfill a growing need in the near future. PMID:24283779

  8. Clinical decision making in restorative dentistry, endodontics, and antibiotic prescription.

    PubMed

    Zadik, Yehuda; Levin, Liran

    2008-01-01

    The purpose of this study was to evaluate the influence of geographic location of graduation (Israel, Eastern Europe, Latin America) on decision making regarding management of dental caries, periapical lesions, and antibiotic prescribing routines. A questionnaire was given to ninety-eight general practitioners regarding demographic and work habits. Photographs of lesions were shown on a screen. Participants reported recommended treatment and whether they would routinely prescribe antibiotics following regular endodontic treatment, retreatment, and impacted third molar surgical extraction in healthy patients. There was a 94 percent (n=92) response rate, of which eighty-five responses were used in the data analysis. Surgical treatment of asymptomatic enamel caries lesions was not recommended by most of the subjects, and surgery was recommended for DEJ caries lesions in low or moderate caries risk patients, both without significant differences between geographic regions of dental school graduation. Israelis had a lower frequency of retreatment in asymptomatic teeth that demonstrated periapical radiolucency with post restoration (without crown) compared to Latin Americans and East Europeans. Most of the participants would not retreat asymptomatic teeth that demonstrated periapical radiolucency with post and crown. After third molar surgery, 46 percent of participants routinely prescribed antibiotics. Significantly more Latin American graduates prescribed antibiotics following endodontic treatment, retreatment, and third molar extractions (p<0.05). Overmedication (antibiotics) and overtreatment (caries) among young practitioners reflect failure of undergraduate education in proper use of antibiotics and management of the carious lesions according to the patient's clinical presentation and caries risk assessment rather than routinely undertaking surgical caries treatment. PMID:18172239

  9. SANDS: a service-oriented architecture for clinical decision support in a National Health Information Network.

    PubMed

    Wright, Adam; Sittig, Dean F

    2008-12-01

    In this paper, we describe and evaluate a new distributed architecture for clinical decision support called SANDS (Service-oriented Architecture for NHIN Decision Support), which leverages current health information exchange efforts and is based on the principles of a service-oriented architecture. The architecture allows disparate clinical information systems and clinical decision support systems to be seamlessly integrated over a network according to a set of interfaces and protocols described in this paper. The architecture described is fully defined and developed, and six use cases have been developed and tested using a prototype electronic health record which links to one of the existing prototype National Health Information Networks (NHIN): drug interaction checking, syndromic surveillance, diagnostic decision support, inappropriate prescribing in older adults, information at the point of care and a simple personal health record. Some of these use cases utilize existing decision support systems, which are either commercially or freely available at present, and developed outside of the SANDS project, while other use cases are based on decision support systems developed specifically for the project. Open source code for many of these components is available, and an open source reference parser is also available for comparison and testing of other clinical information systems and clinical decision support systems that wish to implement the SANDS architecture. The SANDS architecture for decision support has several significant advantages over other architectures for clinical decision support. The most salient of these are: PMID:18434256

  10. Prevalence and clinical management of cytomegalovirus retinitis in AIDS patients in shanghai, china

    PubMed Central

    2011-01-01

    Background Cytomegalovirus retinitis is a common AIDS-associated illness, leading to blindness in up to 30% of patients. This study was to investigate the prevalence and clinical management of the cytomegalovirus retinitis associated with AIDS in a large municipality of China. Methods Clinical and laboratory data from 23 cytomegalovirus retinitis patients (35 eyes) out of 303 hospitalized AIDS individuals in a single medical center were analyzed retrospectively. Two of 23 patients were diagnosed cytomegalovirus retinitis just before hospitalization without anti-CMV therapy. Ganciclovir combined with the high active anti-retroviral therapy was installed for treatment of cytomegalovirus retinitis after diagnosis was confirmed. The data were analyzed by specialists and statistics was also applied. Results The prevalence of cytomegalovirus retinitis in hospitalized AIDS patients was 7.6% in this study. The level of CD4+ T lymphocytes was correlated well with the occurrence of cytomegalovirus retinitis, showing 16.8% (19/113) (95% confidence interval: 10.4,25.0), 5.4% (3/56) (95% confidence interval: 1.1,14.9), and 1.4% (1/69) (95% confidence interval: 0.0,7.8) occurrence in the patients with CD4+ T lymphocyte counts < 50, 50~99, and 100~199 cells/μl, respectively. The mean CD4+ T lymphocyte counts was 31.7 ± 38.6 cells/μl in 23 AIDS patients with cytomegalovirus retinitis. Median CD4+ T lymphocyte count is 20 cells/μl with inter-quartile range as (5, 36). Seven patients died (11 eyes) and 16 patients (24 eyes) survived. The proportion of blindness and low vision in eyes infected with cytomegalovirus retinitis respectively was 20.8% (5/24) and 29.2% (7/24) when they were diagnosed in survivors. The ganciclovir therapy was effective in 16 patients (24 eyes). Clinical recovery of cytomegalovirus retinitis was 41.7% (10/24) and clinical improvement 58.3% (14/24). After anti-CMV treatment, the proportion of blindness or low vision was 16.7% (4/24). Conclusions The AIDS

  11. The Vancouver Lymphadenopathy-AIDS Study: 5. Antecedent behavioural, clinical and laboratory findings in patients with AIDS and HIV-seropositive controls.

    PubMed Central

    Boyko, W J; Schechter, M T; Craib, K J; Constance, P; Nitz, R; Fay, S; McLeod, A; O'Shaughnessy, M

    1986-01-01

    In a group of homosexual men in Vancouver studied prospectively since November 1982, 26 cases of acquired immune deficiency syndrome (AIDS) have arisen. To identify behavioural, clinical and laboratory findings that might predict the development of AIDS in people with antibody to human immunodeficiency virus (HIV), we compared data for 25 patients with AIDS with corresponding data for 80 controls serologically positive for HIV selected from the cohort. The clinical and laboratory data for the patients with AIDS preceded the diagnosis of the syndrome by a mean of 17.5 months. The controls had been both seropositive and AIDS-free for a mean of 16.7 months after acquisition of their data. We detected significant differences between the patients with AIDS and the controls in IgG and IgA levels, absolute number of helper T cells and ratio of helper to suppressor T cells but not in lifetime number of male sexual partners, frequency of receptive anal intercourse or receptive fisting, illicit drug use or history of infectious disease. We also detected an increased risk of AIDS among those who had an elevated number of sexual contacts in AIDS-endemic areas in the 5 years before enrollment. A history of increased early sexual contact in AIDS-endemic areas is likely to be associated with early infection and with an increased risk of AIDS among men with HIV infection of unknown duration. Thus, although our analysis had limited statistical power, we conclude that most lifestyle variables appear to act as exposure factors in HIV infection but not as cofactors in the development of AIDS. PMID:3463386

  12. The Vancouver Lymphadenopathy-AIDS Study: 5. Antecedent behavioural, clinical and laboratory findings in patients with AIDS and HIV-seropositive controls.

    PubMed

    Boyko, W J; Schechter, M T; Craib, K J; Constance, P; Nitz, R; Fay, S; McLeod, A; O'Shaughnessy, M

    1986-10-15

    In a group of homosexual men in Vancouver studied prospectively since November 1982, 26 cases of acquired immune deficiency syndrome (AIDS) have arisen. To identify behavioural, clinical and laboratory findings that might predict the development of AIDS in people with antibody to human immunodeficiency virus (HIV), we compared data for 25 patients with AIDS with corresponding data for 80 controls serologically positive for HIV selected from the cohort. The clinical and laboratory data for the patients with AIDS preceded the diagnosis of the syndrome by a mean of 17.5 months. The controls had been both seropositive and AIDS-free for a mean of 16.7 months after acquisition of their data. We detected significant differences between the patients with AIDS and the controls in IgG and IgA levels, absolute number of helper T cells and ratio of helper to suppressor T cells but not in lifetime number of male sexual partners, frequency of receptive anal intercourse or receptive fisting, illicit drug use or history of infectious disease. We also detected an increased risk of AIDS among those who had an elevated number of sexual contacts in AIDS-endemic areas in the 5 years before enrollment. A history of increased early sexual contact in AIDS-endemic areas is likely to be associated with early infection and with an increased risk of AIDS among men with HIV infection of unknown duration. Thus, although our analysis had limited statistical power, we conclude that most lifestyle variables appear to act as exposure factors in HIV infection but not as cofactors in the development of AIDS. PMID:3463386

  13. Design and Development of a Sharable Clinical Decision Support System Based on a Semantic Web Service Framework.

    PubMed

    Zhang, Yi-Fan; Gou, Ling; Tian, Yu; Li, Tian-Chang; Zhang, Mao; Li, Jing-Song

    2016-05-01

    Clinical decision support (CDS) systems provide clinicians and other health care stakeholders with patient-specific assessments or recommendations to aid in the clinical decision-making process. Despite their demonstrated potential for improving health care quality, the widespread availability of CDS systems has been limited mainly by the difficulty and cost of sharing CDS knowledge among heterogeneous healthcare information systems. The purpose of this study was to design and develop a sharable clinical decision support (S-CDS) system that meets this challenge. The fundamental knowledge base consists of independent and reusable knowledge modules (KMs) to meet core CDS needs, wherein each KM is semantically well defined based on the standard information model, terminologies, and representation formalisms. A semantic web service framework was developed to identify, access, and leverage these KMs across diverse CDS applications and care settings. The S-CDS system has been validated in two distinct client CDS applications. Model-level evaluation results confirmed coherent knowledge representation. Application-level evaluation results reached an overall accuracy of 98.66 % and a completeness of 96.98 %. The evaluation results demonstrated the technical feasibility and application prospect of our approach. Compared with other CDS engineering efforts, our approach facilitates system development and implementation and improves system maintainability, scalability and efficiency, which contribute to the widespread adoption of effective CDS within the healthcare domain. PMID:27002818

  14. Immunophenotypic Analysis of AIDS-Related Diffuse Large B-Cell Lymphoma and Clinical Implications in Patients From AIDS Malignancies Consortium Clinical Trials 010 and 034

    PubMed Central

    Chadburn, Amy; Chiu, April; Lee, Jeannette Y.; Chen, Xia; Hyjek, Elizabeth; Banham, Alison H.; Noy, Ariela; Kaplan, Lawrence D.; Sparano, Joseph A.; Bhatia, Kishor; Cesarman, Ethel

    2009-01-01

    Purpose Diffuse large B-cell lymphoma (DLBCL) represents a clinically heterogeneous disease. Models based on immunohistochemistry predict clinical outcome. These include subdivision into germinal center (GC) versus non-GC subtypes; proliferation index (measured by expression of Ki-67), and expression of BCL-2, FOXP1, or B-lymphocyte-induced maturation protein (Blimp-1)/PRDM1. We sought to determine whether immunohistochemical analyses of biopsies from patients with DLBCL having HIV infection are similarly relevant for prognosis. Patients and Methods We examined 81 DLBCLs from patients with AIDS in AMC010 (cyclophosphamide, doxorubicin, vincristine, and prednisone [CHOP] v CHOP-rituximab) and AMC034 (etoposide, doxorubicin, vincristine, prednisone, and dose-adjusted cyclophosphamide plus rituximab concurrent v sequential) clinical trials and compared the immunophenotype with survival data, Epstein-Barr virus (EBV) positivity, and CD4 counts. Results The GC and non-GC subtypes of DLBCL did not differ significantly with respect to overall survival or CD4 count at cancer presentation. EBV could be found in both subtypes of DLBCL, although less frequently in the GC subtype, and did not affect survival. Expression of FOXP1, Blimp-1/PRDM1, or BCL-2 was not correlated with the outcome in patients with AIDS-related DLBCL. Conclusion These data indicate that with current treatment strategies for lymphoma and control of HIV infection, commonly used immunohistochemical markers may not be clinically relevant in HIV-infected patients with DLBCL. The only predictive immunohistochemical marker was found to be Ki-67, where a higher proliferation index was associated with better survival, suggesting a better response to therapy in patients whose tumors had higher proliferation rates. PMID:19752343

  15. System-agnostic clinical decision support services: benefits and challenges for scalable decision support.

    PubMed

    Kawamoto, Kensaku; Del Fiol, Guilherme; Orton, Charles; Lobach, David F

    2010-01-01

    System-agnostic clinical decision support (CDS) services provide patient evaluation capabilities that are independent of specific CDS systems and system implementation contexts. While such system-agnostic CDS services hold great potential for facilitating the widespread implementation of CDS systems, little has been described regarding the benefits and challenges of their use. In this manuscript, the authors address this need by describing potential benefits and challenges of using a system-agnostic CDS service. This analysis is based on the authors' formal assessments of, and practical experiences with, various approaches to developing, implementing, and maintaining CDS capabilities. In particular, the analysis draws on the authors' experience developing and leveraging a system-agnostic CDS Web service known as SEBASTIAN. A primary potential benefit of using a system-agnostic CDS service is the relative ease and flexibility with which the service can be leveraged to implement CDS capabilities across applications and care settings. Other important potential benefits include facilitation of centralized knowledge management and knowledge sharing; the potential to support multiple underlying knowledge representations and knowledge resources through a common service interface; improved simplicity and componentization; easier testing and validation; and the enabling of distributed CDS system development. Conversely, important potential challenges include the increased effort required to develop knowledge resources capable of being used in many contexts and the critical need to standardize the service interface. Despite these challenges, our experiences to date indicate that the benefits of using a system-agnostic CDS service generally outweigh the challenges of using this approach to implementing and maintaining CDS systems. PMID:21603281

  16. STD Clinic Patients' Awareness of Non-AIDS Complications of HIV Infection

    PubMed Central

    Castro, José Guillermo; Granovsky, Inna; Jones, Deborah; Weiss, Stephen M.

    2016-01-01

    Participants were recruited from a sexually transmitted disease (STD) clinic in Florida and were assessed regarding the knowledge and awareness of non-AIDS conditions associated with HIV infection. Questionnaires were administered before and after a brief information session on non-AIDS conditions associated with HIV infection. Participants included men (n = 46) and women (n = 51). Prior to the information session, at baseline, only 34% of the participants were worried about HIV infection. Most participants (82%) agreed that HIV could be treated with antiretroviral therapy (ART), while only 38% were aware that HIV-associated conditions cannot be easily treated with ART. After the information session, almost all participants reported they were concerned regarding the risk of HIV infection. High-risk patients may have limited knowledge about the consequences of HIV infection beyond the traditional AIDS-associated conditions. Increased awareness of these less known consequences of HIV infection may decrease the potential for complacency regarding acquiring HIV infection. PMID:25331221

  17. Representation of Clinical Practice Guidelines in Conventional and Augmented Decision Tables

    PubMed Central

    Shiffman, Richard N.

    1997-01-01

    Abstract Objective: To develop a knowledge representation model for clinical practice guidelines that is linguistically adequate, comprehensible, reusable, and maintainable. Design: Decision tables provide the basic framework for the proposed knowledge representation model. Guideline logic is represented as rules in conventional decision tables. These tables are augmented by layers where collateral information is recorded in slots beneath the logic. Results: Decision tables organize rules into cohesive rule sets wherein complex logic is clarified. Decision table rule sets may be verified to assure completeness and consistency. Optimization and display of rule sets as sequential decision trees may enhance the comprehensibility of the logic. The modularity of the rule formats may facilitate maintenance. The augmentation layers provide links to descriptive language, information sources, decision variable characteristics, costs and expected values of policies, and evidence sources and quality. Conclusion: Augmented decision tables can serve as a unifying knowledge representation for developers and implementers of clinical practice guidelines. PMID:9292844

  18. A Visual Aid to Decision-Making for People with Intellectual Disabilities

    ERIC Educational Resources Information Center

    Bailey, Rebecca; Willner, Paul; Dymond, Simon

    2011-01-01

    Previous studies have shown that people with mild intellectual disabilities have difficulty in "weighing-up" information, defined as integrating information from two different sources for the purpose of reaching a decision. This was demonstrated in two very different procedures, temporal discounting and a scenario-based financial decision-making…

  19. The Effects of Tuition and Financial Aid on the Enrollment Decision at a State University.

    ERIC Educational Resources Information Center

    Seneca, Joseph J.; Taussig, Michael K.

    1987-01-01

    An empirical model of the enrollment decision for students admitted both to Rutgers University and to at least one alternate college is described. Students base their enrollment decision on the relative quality of the schools, their own abilities and family resources, and the net costs of the schools. (Author/MLW)

  20. Using Consumer Behavior and Decision Models to Aid Students in Choosing a Major.

    ERIC Educational Resources Information Center

    Kaynama, Shohreh A.; Smith, Louise W.

    1996-01-01

    A study found that using consumer behavior and decision models to guide students to a major can be useful and enjoyable for students. Students consider many of the basic parameters through multi-attribute and decision-analysis models, so time with professors, who were found to be the most influential group, can be used for more individual and…

  1. A Socioecological Model of Rape Survivors' Decisions to Aid in Case Prosecution

    ERIC Educational Resources Information Center

    Anders, Mary C.; Christopher, F. Scott

    2011-01-01

    The purpose of our study was to identify factors underlying rape survivors' post-assault prosecution decisions by testing a decision model that included the complex relations between the multiple social ecological systems within which rape survivors are embedded. We coded 440 police rape cases for characteristics of the assault and characteristics…

  2. Formative assessment and design of a complex clinical decision support tool for pulmonary embolism.

    PubMed

    Khan, Sundas; McCullagh, Lauren; Press, Anne; Kharche, Manish; Schachter, Andy; Pardo, Salvatore; McGinn, Thomas

    2016-02-01

    Electronic health record (EHR)-based clinical decision support (CDS) tools are rolled out with the urgency to meet federal requirements without time for usability testing and refinement of the user interface. As part of a larger project to design, develop and integrate a pulmonary embolism CDS tool for emergency physicians, we conducted a formative assessment to determine providers' level of interest and input on designs and content. This was a study to conduct a formative assessment of emergency medicine (EM) physicians that included focus groups and key informant interviews. The focus of this study was twofold, to determine the general attitude towards CDS tool integration and the ideal integration point into the clinical workflow. To accomplish this, we first approached EM physicians in a focus group, then, during key informant interviews, we presented workflow designs and gave a scenario to help the providers visualise how the CDS tool works. Participants were asked questions regarding the trigger location, trigger words, integration into their workflow, perceived utility and heuristic of the tool. Results from the participants' survey responses to trigger location, perceived utility and efficiency, indicated that the providers felt the tool would be more of a hindrance than an aid. However, some providers commented that they had not had exposure to CDS tools but had used online calculators, and thought the tools would be helpful at the point-of-care if integrated into the EHR. Furthermore, there was a preference for an order entry wireframe. This study highlights several factors to consider when designing CDS tools: (1) formative assessment of EHR functionality and clinical environment workflow, (2) focus groups and key informative interviews to incorporate providers' perceptions of CDS and workflow integration and/or (3) the demonstration of proposed workflows through wireframes to help providers visualise design concepts. PMID:26718820

  3. The Development and Piloting of a Decision Aid for Parents Considering Sequential Bilateral Cochlear Implantation for Their Child with Hearing Loss

    ERIC Educational Resources Information Center

    Johnston, J. Cyne; Smith, Andree Durieux; O'Connor, Annette; Benzies, Karen; Fitzpatrick, Elizabeth M.; Angus, Douglas

    2009-01-01

    A decision aid for parents considering sequential bilateral cochlear implantation for their children with severe-to-profound hearing loss was developed using local and published evidence. Eight parents of children currently using one cochlear implant, who faced a decision regarding a second cochlear implant, and five clinicians involved in the…

  4. Enhanced Decision-Making: The Use of a Videotape Decision-Aid for Patients with Prostate Cancer.

    ERIC Educational Resources Information Center

    Schapira, Marilyn M.; Meade, Cathy; Nattinger, Ann B.

    1997-01-01

    The development of a videotape for patients considering treatment options for clinically localized prostate cancer is described. The effectiveness of videotape in improving short-term recall of treatment options and outcomes was assessed quantitatively; qualitative analysis was used to assess the likelihood of patient's active participation in the…

  5. The effects of HIV/AIDS intervention groups for high-risk women in urban clinics.

    PubMed Central

    Kelly, J A; Murphy, D A; Washington, C D; Wilson, T S; Koob, J J; Davis, D R; Ledezma, G; Davantes, B

    1994-01-01

    OBJECTIVE. This study reports the results of a behavior change intervention offered to women at high risk for human immunodeficiency virus (HIV) infection seen in an urban primary health care clinic. METHODS. Participants were 197 women randomly assigned to either an HIV/acquired immunodeficiency syndrome (AIDS) risk reduction group or a comparison group. Women in the HIV/AIDS intervention group attended five group sessions focusing on risk education; skills training in condom use, sexual assertiveness, problem solving, and risk trigger self-management; and peer support for change efforts. Women in the comparison group attended sessions on health topics unrelated to AIDS. RESULTS. At the 3-month follow-up, women in the HIV/AIDS intervention group had increased in sexual communication and negotiation skills. Unprotected sexual intercourse had declined significantly and condom use had increased from 26% to 56% of all intercourse occasions. Women in the comparison group showed no change. CONCLUSIONS. Socially disadvantaged women can be assisted in reducing their risk of contracting HIV infection. Risk reduction behavior change interventions should be offered routinely in primary health care clinics serving low-income and high-risk patients. PMID:7998630

  6. Transient ischaemic attack clinic: an evaluation of diagnoses and clinical decision making.

    PubMed

    Lee, Will; Frayne, Judith

    2015-04-01

    The diagnosis of transient ischaemic attack (TIA) is based largely on the patient's symptom recall and clinical judgement. This decision-making process is highly subjective and the inter-observer reliability of TIA diagnosis is at best moderate, even among neurologists. The aim of this study is to examine the presenting features and final diagnoses of referrals to a TIA clinic and to evaluate characteristics that favoured the diagnosis of TIA over other TIA "mimics". Consecutive new referrals to a tertiary metropolitan hospital TIA clinic over a 9month period were examined. Characteristics between TIA and non-TIA diagnoses were compared and analysed. Eighty-two patients were recruited. Eighteen (22%) were given a final diagnosis of TIA or stroke. Major alternative diagnoses included migraine (n=17, 21%), presyncope/syncope (n=13, 16%) and anxiety (n=7, 9%). Four (5%) patients had unclassifiable symptoms with no clear final diagnosis. Mean age was 67±a standard deviation of 17years and patients diagnosed with TIA/stroke were on average older than those with non-TIA diagnoses (77±10 versus 64±17years, p=0.003). A diagnosis of TIA/stroke was favoured in the presence of moderate to severe weakness (p=0.032), dysphasia (p=0.037) or dysarthria (p=0.005). Unclassifiable symptoms (for example, palpitations, confusion, headache) were reported in 27 patients (33%) and their presence favoured non-TIA diagnoses (p=0.0003). TIA constituted a minority of the referrals to our clinic. Accurate clinical diagnosis of TIA facilitates early stroke prevention and avoids unnecessary investigations and prescriptions. Attempts to improve diagnostic accuracy of TIA should target improving the education and awareness of frontline medical practitioners. PMID:25669115

  7. Associations of Inflammatory Markers with AIDS and non-AIDS Clinical Events after Initiation of Antiretroviral Therapy: AIDS Clinical Trials Group A5224s, a substudy of ACTG A5202

    PubMed Central

    McComsey, Grace A; Kitch, Douglas; Sax, Paul E; Tierney, Camlin; Jahed, Nasreen C; Melbourne, Kathleen; Ha, Belinda; Brown, Todd T; Bloom, Anthony; Fedarko, Neal; Daar, Eric S

    2013-01-01

    Background The association of inflammatory biomarkers with clinical events after antiretroviral therapy (ART) initiation is unclear. Methods A5202 randomized 1857 treatment-naive subjects to abacavir/lamivudine or tenofovir-DF/emtricitabine with efavirenz or atazanavir/ritonavir. Substudy A5224s measured inflammatory biomarkers on subjects with available plasma from baseline and weeks 24 or 96. An exploratory analysis of the association of hsCRP, IL-6, sTNF-RI, sTNF-RII, TNF-α, sVCAM-1, and sICAM-1 with times to AIDS and to non-AIDS events used Cox proportional hazards models. Results Analysis included 244 subjects; 85% male, 48% white non-Hispanic, with median age 39 years, HIV-1 RNA 4.6 log10 copies/mL, and CD4 240 cells/μL. Overall, 13 AIDS events (9 opportunistic infections; 3 AIDS-cancers, 1 recurrent bacterial pneumonia) and 18 non-AIDS events (6 diabetes, 4 cancers, 3 cardiovascular, 5 pneumonias) occurred. Higher baseline IL-6, sTNF-RI, sTNF-RII, and sICAM-1 were significantly associated with increased risk of AIDS-defining events. Adjustment for baseline HIV-1 RNA did not change results, while adjusting for baseline CD4 count left only sTNF-RI and sICAM-1 significantly associated with increased risk. Time-updated values of IL-6, sTNFR-I and II, and sICAM-1 were also associated with an increased risk. For non-AIDS events, only higher baseline hsCRP was significantly associated with increased risk, while higher IL-6 was marginally associated with higher risk. Analyses of time-updated biomarker values showed TNF-α to be significantly associated with increased risk, even after adjustment for ART, and CD4 count or HIV-1 RNA. Conclusion Higher levels of several inflammatory biomarkers were independently associated with increased risk of AIDS and non-AIDS events. PMID:24121755

  8. Implementation of workflow engine technology to deliver basic clinical decision support functionality

    PubMed Central

    2011-01-01

    Background Workflow engine technology represents a new class of software with the ability to graphically model step-based knowledge. We present application of this novel technology to the domain of clinical decision support. Successful implementation of decision support within an electronic health record (EHR) remains an unsolved research challenge. Previous research efforts were mostly based on healthcare-specific representation standards and execution engines and did not reach wide adoption. We focus on two challenges in decision support systems: the ability to test decision logic on retrospective data prior prospective deployment and the challenge of user-friendly representation of clinical logic. Results We present our implementation of a workflow engine technology that addresses the two above-described challenges in delivering clinical decision support. Our system is based on a cross-industry standard of XML (extensible markup language) process definition language (XPDL). The core components of the system are a workflow editor for modeling clinical scenarios and a workflow engine for execution of those scenarios. We demonstrate, with an open-source and publicly available workflow suite, that clinical decision support logic can be executed on retrospective data. The same flowchart-based representation can also function in a prospective mode where the system can be integrated with an EHR system and respond to real-time clinical events. We limit the scope of our implementation to decision support content generation (which can be EHR system vendor independent). We do not focus on supporting complex decision support content delivery mechanisms due to lack of standardization of EHR systems in this area. We present results of our evaluation of the flowchart-based graphical notation as well as architectural evaluation of our implementation using an established evaluation framework for clinical decision support architecture. Conclusions We describe an implementation of

  9. MACVIA clinical decision algorithm in adolescents and adults with allergic rhinitis.

    PubMed

    Bousquet, Jean; Schünemann, Holger J; Hellings, Peter W; Arnavielhe, Sylvie; Bachert, Claus; Bedbrook, Anna; Bergmann, Karl-Christian; Bosnic-Anticevich, Sinthia; Brozek, Jan; Calderon, Moises; Canonica, G Walter; Casale, Thomas B; Chavannes, Niels H; Cox, Linda; Chrystyn, Henry; Cruz, Alvaro A; Dahl, Ronald; De Carlo, Giuseppe; Demoly, Pascal; Devillier, Phillipe; Dray, Gérard; Fletcher, Monica; Fokkens, Wytske J; Fonseca, Joao; Gonzalez-Diaz, Sandra N; Grouse, Lawrence; Keil, Thomas; Kuna, Piotr; Larenas-Linnemann, Désirée; Lodrup Carlsen, Karin C; Meltzer, Eli O; Mullol, Jaoquim; Muraro, Antonella; Naclerio, Robert N; Palkonen, Susanna; Papadopoulos, Nikolaos G; Passalacqua, Giovanni; Price, David; Ryan, Dermot; Samolinski, Boleslaw; Scadding, Glenis K; Sheikh, Aziz; Spertini, François; Valiulis, Arunas; Valovirta, Erkka; Walker, Samantha; Wickman, Magnus; Yorgancioglu, Arzu; Haahtela, Tari; Zuberbier, Torsten

    2016-08-01

    The selection of pharmacotherapy for patients with allergic rhinitis (AR) depends on several factors, including age, prominent symptoms, symptom severity, control of AR, patient preferences, and cost. Allergen exposure and the resulting symptoms vary, and treatment adjustment is required. Clinical decision support systems (CDSSs) might be beneficial for the assessment of disease control. CDSSs should be based on the best evidence and algorithms to aid patients and health care professionals to jointly determine treatment and its step-up or step-down strategy depending on AR control. Contre les MAladies Chroniques pour un VIeillissement Actif en Languedoc-Roussillon (MACVIA-LR [fighting chronic diseases for active and healthy ageing]), one of the reference sites of the European Innovation Partnership on Active and Healthy Ageing, has initiated an allergy sentinel network (the MACVIA-ARIA Sentinel Network). A CDSS is currently being developed to optimize AR control. An algorithm developed by consensus is presented in this article. This algorithm should be confirmed by appropriate trials. PMID:27260321

  10. Recommendations for Standardizing Glucose Reporting and Analysis to Optimize Clinical Decision Making in Diabetes: The Ambulatory Glucose Profile

    PubMed Central

    Bergenstal, Richard M.; Ahmann, Andrew J.; Bailey, Timothy; Beck, Roy W.; Bissen, Joan; Buckingham, Bruce; Deeb, Larry; Dolin, Robert H.; Garg, Satish K.; Goland, Robin; Hirsch, Irl B.; Klonoff, David C.; Kruger, Davida F.; Matfin, Glenn; Mazze, Roger S.; Olson, Beth A.; Parkin, Christopher; Peters, Anne; Powers, Margaret A.; Rodriguez, Henry; Southerland, Phil; Strock, Ellie S.; Tamborlane, William; Wesley, David M.

    2013-01-01

    Underutilization of glucose data and lack of easy and standardized glucose data collection, analysis, visualization, and guided clinical decision making are key contributors to poor glycemic control among individuals with type 1 diabetes mellitus. An expert panel of diabetes specialists, facilitated by the International Diabetes Center and sponsored by the Helmsley Charitable Trust, met in 2012 to discuss recommendations for standardizing the analysis and presentation of glucose monitoring data, with the initial focus on data derived from continuous glucose monitoring systems. The panel members were introduced to a universal software report, the Ambulatory Glucose Profile, and asked to provide feedback on its content and functionality, both as a research tool and in clinical settings. This article provides a summary of the topics and issues discussed during the meeting and presents recommendations from the expert panel regarding the need to standardize glucose profile summary metrics and the value of a uniform glucose report to aid clinicians, researchers, and patients. PMID:23567014

  11. Re-imagining decision making: addressing a discrete social driver of HIV/AIDS through the lens of complexity science.

    PubMed

    Burman, Christopher J; Moerschell, Linda; Mamabolo, Robert; Aphane, Marota; Delobelle, Peter

    2015-01-01

    This article argues that decision making is a discrete social driver that can be associated with the HIV/AIDS epidemic in the Limpopo province in South Africa. The authors argue that complexity science can inform future research and interventions by presenting two decision making frameworks arising out of complexity science that have the potential to enable young people to better negotiate decision-making contexts whilst simultaneously opening spaces of dialogue that can mitigate the impact of HIV-risk in specific, punctuated contexts. The methodological design was prompted by findings from youth-oriented community engagement projects that include Communication Conversations and Sex & Relationships Education. The proposed methods have the potential to exploit the phenomenon of leadership emergence as a product of decision making at critical moments. This has the potential to promote the growth of home-grown leadership skill sets that make sense to young people and to enable them better manage their own health, thus reducing risk and vulnerability to HIV infection and sexual violence. PMID:25920986

  12. Decision aid on breast cancer screening reduces attendance rate: results of a large-scale, randomized, controlled study by the DECIDEO group.

    PubMed

    Bourmaud, Aurelie; Soler-Michel, Patricia; Oriol, Mathieu; Regnier, Véronique; Tinquaut, Fabien; Nourissat, Alice; Bremond, Alain; Moumjid, Nora; Chauvin, Franck

    2016-03-15

    Controversies regarding the benefits of breast cancer screening programs have led to the promotion of new strategies taking into account individual preferences, such as decision aid. The aim of this study was to assess the impact of a decision aid leaflet on the participation of women invited to participate in a national breast cancer screening program. This Randomized, multicentre, controlled trial. Women aged 50 to 74 years, were randomly assigned to receive either a decision aid or the usual invitation letter. Primary outcome was the participation rate 12 months after the invitation. 16 000 women were randomized and 15 844 included in the modified intention-to-treat analysis. The participation rate in the intervention group was 40.25% (3174/7885 women) compared with 42.13% (3353/7959) in the control group (p = 0.02). Previous attendance for screening (RR = 6.24; [95%IC: 5.75-6.77]; p < 0.0001) and medium household income (RR = 1.05; [95%IC: 1.01-1.09]; p = 0.0074) were independently associated with attendance for screening. This large-scale study demonstrates that the decision aid reduced the participation rate. The decision aid activate the decision making process of women toward non-attendance to screening. These results show the importance of promoting informed patient choices, especially when those choices cannot be anticipated. PMID:26883201

  13. Decision aid on breast cancer screening reduces attendance rate: results of a large-scale, randomized, controlled study by the DECIDEO group

    PubMed Central

    Bourmaud, Aurelie; Soler-Michel, Patricia; Oriol, Mathieu; Regnier, Véronique; Tinquaut, Fabien; Nourissat, Alice; Bremond, Alain; Moumjid, Nora; Chauvin, Franck

    2016-01-01

    Controversies regarding the benefits of breast cancer screening programs have led to the promotion of new strategies taking into account individual preferences, such as decision aid. The aim of this study was to assess the impact of a decision aid leaflet on the participation of women invited to participate in a national breast cancer screening program. This Randomized, multicentre, controlled trial. Women aged 50 to 74 years, were randomly assigned to receive either a decision aid or the usual invitation letter. Primary outcome was the participation rate 12 months after the invitation. 16 000 women were randomized and 15 844 included in the modified intention-to-treat analysis. The participation rate in the intervention group was 40.25% (3174/7885 women) compared with 42.13% (3353/7959) in the control group (p = 0.02). Previous attendance for screening (RR = 6.24; [95%IC: 5.75-6.77]; p < 0.0001) and medium household income (RR = 1.05; [95%IC: 1.01-1.09]; p = 0.0074) were independently associated with attendance for screening. This large-scale study demonstrates that the decision aid reduced the participation rate. The decision aid activate the decision making process of women toward non-attendance to screening. These results show the importance of promoting informed patient choices, especially when those choices cannot be anticipated. PMID:26883201

  14. Disseminated histoplasmosis and AIDS: clinical aspects and diagnostic methods for early detection.

    PubMed

    Corti, M E; Cendoya, C A; Soto, I; Esquivel, P; Trione, N; Villafañe, M F; Corbera, K M; Helou, S; Negroni, R

    2000-03-01

    Disseminated histoplasmosis in AIDS patients is the focus of this paper. Cutaneous lesions are reported as a frequent clinical sign. Bone marrow aspiration and biopsy, blood cultures (lysis-centrifugation technique), bronchoalveolar lavage, and skin lesion scrapings are the most effective diagnostic methods. The identification of a specific antigen in blood and urine may be a rapid means of evaluation and follow-up of patients with this disease. PMID:10763544

  15. Spectrum of complicated migraine in children: A common profile in aid to clinical diagnosis

    PubMed Central

    Gupta, Surya N; Gupta, Vikash S; Fields, Dawn M

    2015-01-01

    Complicated migraine encompasses several individual clinical syndromes of migraine. Such a syndrome in children frequently presents with various neurological symptoms in the Emergency Department. An acute presentation in the absence of headache presents a diagnostic challenge. A delay in diagnosis and treatment may have medicolegal implication. To date, there are no reports of a common clinical profile proposed in making a clinical diagnosis for the complicated migraine. In this clinical review, we propose and describe: (1) A common clinical profile in aid to clinical diagnosis for spectrum of complicated migraine; (2) How it can be used in differentiating complicated migraine from migraine without aura, migraine with aura, and seizure; (3) We discuss the status of complicated migraine in the International Headache Society classification 2013; and (4) In addition, a common treatment strategy for the spectrum of migraine has been described. To diagnose complicated migraine clinically, it is imperative to adhere with the proposed profile. This will optimize the use of investigation and will also avoid a legal implication of delay in their management. The proposed common clinical profile is incongruent with the International Headache Society 2013. Future classification should minimize the dissociation from clinically encountered syndromes and coin a single word to address collectively this subtype of migraine with an acute presentation of a common clinical profile. PMID:25664241

  16. Clinical capital equipment acquisition: decision-making at the executive level.

    PubMed

    Greisler, D S; Stupak, R J

    1999-01-01

    Capital investment in the United States health care industry is one of the components of the system that has historically fueled cost increases and complicated the quality/cost/access conundrum. This article is concerned with capital development focused on clinical equipment acquisition in acute care hospitals. The research findings suggest that decision-makers are abandoning two approaches to decision-making known as Quantitative Decision-Making and Mixed Scanning in favor of two models known as Rational Decision-Making and Political Decision-Making. While this is the case, a method of decision-making known as Idea Sets (developed and labeled by James March as Garbage Can Decision-Making) is the most widely used approach. Equipment acquisition criteria used by the decision-makers are shifting away from concerns of enhancing existing clinical programs and/or adding new clinical programs. Acquisition criteria are shifting toward procuring equipment which will decrease institutional expense, improve organizational efficiency, and galvanize operational effectiveness. In addition to the technical findings of the research, further insights about ourselves and our colleagues are gleaned. Accordingly, we understand more completely the human dynamics surrounding decisions and thus are able to dialogue more richly about issues. Meaningful dialogue such as this will have the dual benefit of advancing teamwork and facilitating decision-making. PMID:10848195

  17. The Clinical Intuition Exploration Guide: A Decision-Making Tool for Counselors and Supervisors

    ERIC Educational Resources Information Center

    Jeffrey, Aaron

    2012-01-01

    Clinical intuition is a common experience among counselors, yet many do not know what to do with intuition when it occurs. This article reviews the role intuition plays in clinical work and presents the research-based Clinical Intuition Exploration Guide to help counselors navigate the decision-making process. The guide consists of self-reflection…

  18. Clinical Verification of A Clinical Decision Support System for Ventilator Weaning

    PubMed Central

    2013-01-01

    Background Weaning is typically regarded as a process of discontinuing mechanical ventilation in the daily practice of an intensive care unit (ICU). Among the ICU patients, 39%-40% need mechanical ventilator for sustaining their lives. The predictive rate of successful weaning achieved only 35-60% for decisions made by physicians. Clinical decision support systems (CDSSs) are promising in enhancing diagnostic performance and improve healthcare quality in clinical setting. To our knowledge, a prospective study has never been conducted to verify the effectiveness of the CDSS in ventilator weaning before. In this study, the CDSS capable of predicting weaning outcome and reducing duration of ventilator support for patients has been verified. Methods A total of 380 patients admitted to the respiratory care center of the hospital were randomly assigned to either control or study group. In the control group, patients were weaned with traditional weaning method, while in the study group, patients were weaned with CDSS monitored by physicians. After excluding the patients who transferred to other hospitals, refused further treatments, or expired the admission period, data of 168 and 144 patients in the study and control groups, respectively, were used for analysis. Results The results show that a sensitivity of 87.7% has been achieved, which is significantly higher (p<0.01) than the weaning determined by physicians (sensitivity: 61.4%). Furthermore, the days using mechanical ventilator for the study group (38.41 ± 3.35) is significantly (p<0.001) shorter than the control group (43.69 ± 14.89), with a decrease of 5.2 days in average, resulting in a saving of healthcare cost of NT$45,000 (US$1,500) per patient in the current Taiwanese National Health Insurance setting. Conclusions The CDSS is demonstrated to be effective in identifying the earliest time of ventilator weaning for patients to resume and sustain spontaneous breathing, thereby avoiding unnecessary prolonged

  19. Protocol for a randomised controlled trial of a decision aid for the management of pain in labour and childbirth [ISRCTN52287533

    PubMed Central

    Roberts, Christine L; Raynes-Greenow, Camille H; Nassar, Natasha; Trevena, Lyndal; McCaffery, Kirsten

    2004-01-01

    Background Women report fear of pain in childbirth and often lack complete information on analgesic options prior to labour. Preferences for pain relief should be discussed before labour begins. A woman's antepartum decision to use pain relief is likely influenced by her cultural background, friends, family, the media, literature and her antenatal caregivers. Pregnant women report that information about analgesia was most commonly derived from hearsay and least commonly from health professionals. Decision aids are emerging as a promising tool to assist practitioners and their patients in evidence-based decision making. Decision aids are designed to assist patients and their doctors in making informed decisions using information that is unbiased and based on high quality research evidence. Decision aids are non-directive in the sense that they do not aim to steer the user towards any one option, but rather to support decision making which is informed and consistent with personal values. Methods/design We aim to evaluate the effectiveness of a Pain Relief for Labour decision aid, with and without an audio-component, compared to a pamphlet in a three-arm randomised controlled trial. Approximately 600 women expecting their first baby and planning a vaginal birth will be recruited for the trial. The primary outcomes of the study are decisional conflict (uncertainty about a course of action), knowledge, anxiety and satisfaction with decision-making and will be assessed using self-administered questionnaires. The decision aid is not intended to influence the type of analgesia used during labour, however we will monitor health service utilisation rates and maternal and perinatal outcomes. This study is funded by a competitive peer-reviewed grant from the Australian National Health and Medical Research Council (No. 253635). Discussion The Pain Relief for Labour decision aid was developed using the Ottawa Decision Support Framework and systematic reviews of the evidence

  20. A public aid clinic prototype: utilizing a dental hygiene educational facility to increase access to care.

    PubMed

    Maurizio, Sandra J; DeMattei, Ronda; Meyer, Jennifer; Cotner, Danna

    2003-01-01

    Few dentists in a rural Midwestern community participate in providing oral health care to public aid recipients. In response, faculty at a baccalaureate degree dental hygiene program located at Southern illinois University, Carbondale (SIUC) proposed, developed, and implemented the Heartland Dental Clinic to serve Medicaid participants. The unique program utilizes existing facilities, staff, and students to provide comprehensive oral health care to underserved populations. The state awarded a small grant to cover start-up costs. Two dental units were upgraded with fiber optics to allow restorative procedures. Dental hygiene students provide intake examinations and preventive care, while a staff dentist provides restorative care, dentures, and examinations. Dental technology students and faculty fabricate prostheses. A part-time clinic manager facilitates communication, patient scheduling, and billing. Two local Rotary Club members volunteer as receptionists for the clinic on the one evening per week that the clinic operates. The Rotary Club purchased educational pamphlets, a television/VCR, videotapes, and two signs for the clinic. By locating the clinic in the existing SIUC facility and utilizing dental hygiene students, a staff dentist, volunteer receptionists and dentists, student workers, and health care management interns, the clinic overhead costs have been kept to a minimum. The clinic provides a unique opportunity for dental hygiene students to experience firsthand scheduling, billing, and treating public aid patients while providing patients with an additional source for oral health care. The Heartland Dental Clinic model represents a cost effective method for increasing oral health access to underserved populations while also benefiting students in an educational program. PMID:14596165

  1. How does AIDS illness affect women's residential decisions? Findings from an ethnographic study in a Cape Town township.

    PubMed

    Bray, Rachel

    2009-06-01

    This paper explores the nature and consequences of residential decision-making for women on treatment for AIDS illness in a poor urban settlement in South Africa. Drawing on ethnographic data collected over a two-year period, it points to the subtle shifts in 'householding' practices and kinship relationships prompted by women's individual experiences and understanding of their HIV status, illness and treatment. Women's decisions to move or to arrange that other family members move can be explained by pre-existing threats to individual wellbeing or family residential security. But an HIV diagnosis can intensify a mother's thoughts and actions in relation to residential and emotional security, in particular on behalf of her children. In a context where extended periods of childcare by rural relatives is common, mothers with AIDS illness may gather all their children in their home to offer direct care, achieve intimacy and facilitate disclosure. They are likely to avoid making frequent contact with, and demands on, their elderly parents. Siblings are favoured as co-residents and confidants in disclosure, but their long-term support is contingent on reciprocity. Partners, where present, are valued for economic, social and emotional security. Women attempt to balance their children's nurturing, in the short and long term, with care of the self. Their efforts do not always succeed and can incur high costs to their wellbeing and relationships with their children. PMID:25875568

  2. Cultural and linguistic adaptation of a multimedia colorectal cancer screening decision aid for Spanish-speaking Latinos.

    PubMed

    Ko, Linda K; Reuland, Daniel; Jolles, Monica; Clay, Rebecca; Pignone, Michael

    2014-01-01

    As the United States becomes more linguistically and culturally diverse, there is a need for effective health communication interventions that target diverse, vulnerable populations, including Latinos. To address such disparities, health communication interventionists often face the challenge to adapt existing interventions from English into Spanish in a way that retains essential elements of the original intervention while also addressing the linguistic needs and cultural perspectives of the target population. The authors describe the conceptual framework, context, rationale, methods, and findings of a formative research process used in creating a Spanish-language version of an evidence-based (English language) multimedia colorectal cancer screening decision aid. The multistep process included identification of essential elements of the existing intervention, literature review, assessment of the regional context and engagement of key stakeholders, and solicitation of direct input from target population. The authors integrated these findings in the creation of the new adapted intervention. They describe how they used this process to identify and integrate sociocultural themes such as personalism (personalismo), familism (familismo), fear (miedo), embarrassment (verguenza), power distance (respeto), machismo, and trust (confianza) into the Spanish-language decision aid. PMID:24328496

  3. Making hard choices easier: a prospective, multicentre study to assess the efficacy of a fertility-related decision aid in young women with early-stage breast cancer

    PubMed Central

    Peate, M; Meiser, B; Cheah, B C; Saunders, C; Butow, P; Thewes, B; Hart, R; Phillips, K-A; Hickey, M; Friedlander, M

    2012-01-01

    Background: Fertility is a priority for many young women with breast cancer. Women need to be informed about interventions to retain fertility before chemotherapy so as to make good quality decisions. This study aimed to prospectively evaluate the efficacy of a fertility-related decision aid (DA). Methods: A total of 120 newly diagnosed early-stage breast cancer patients from 19 Australian oncology clinics, aged 18–40 years and desired future fertility, were assessed on decisional conflict, knowledge, decision regret, and satisfaction about fertility-related treatment decisions. These were measured at baseline, 1 and 12 months, and were examined using linear mixed effects models. Results: Compared with usual care, women who received the DA had reduced decisional conflict (β=−1.51; 95%CI: −2.54 to 0.48; P=0.004) and improved knowledge (β=0.09; 95%CI: 0.01–0.16; P=0.02), after adjusting for education, desire for children and baseline uncertainty. The DA was associated with reduced decisional regret at 1 year (β=−3.73; 95%CI: −7.12 to −0.35; P=0.031), after adjusting for education. Women who received the DA were more satisfied with the information received on the impact of cancer treatment on fertility (P<0.001), fertility options (P=0.005), and rated it more helpful (P=0.002), than those who received standard care. Conclusion: These findings support widespread use of this DA shortly after diagnosis (before chemotherapy) among younger breast cancer patients who have not completed their families. PMID:22415294

  4. Mental Workload as a Key Factor in Clinical Decision Making

    ERIC Educational Resources Information Center

    Byrne, Aidan

    2013-01-01

    The decision making process is central to the practice of a clinician and has traditionally been described in terms of the hypothetico-deductive model. More recently, models adapted from cognitive psychology, such as the dual process and script theories have proved useful in explaining patterns of practice not consistent with purely cognitive…

  5. [Locator or ball attachment: a guide for clinical decision making].

    PubMed

    Büttel, Adrian E; Bühler, Nico M; Marinello, Carlo P

    2009-01-01

    Various attachments are available to retain overdentures on natural roots or implants. Technical aspects, the clinical handling, the capability to adapt or repair and the costs are parameters to be considered when choosing the appropriate attachment. Ball attachments and bars are clinically established and well documented. Ball attachments as prefabricated, unsplinted units are easily replaceable and show hygienic advantages, while bars show favorable stability. The Locator is a newer, popular clinical alternative to these established attachments. The ball attachment and the Locator are compared from a technical and clinical point of view. PMID:19852208

  6. Improving Awareness of Cancer Clinical Trials Among Hispanic Patients and Families: Audience Segmentation Decisions for a Media Intervention

    PubMed Central

    QUINN, GWENDOLYN P.; McINTYRE, JESSICA; GONZALEZ, LUIS E.; ANTONIA, TERESITA MUÑOZ; ANTOLINO, PRADO; WELLS, KRISTEN J.

    2016-01-01

    Clinical trials hold great promise for cancer treatment; yet, Hispanic cancer patients have low rates of clinical trial participation. Lack of awareness and knowledge of clinical trials and language barriers may account for low participation rates. Patient education through audiovisual materials can improve knowledge of and attitudes toward clinical trials among Hispanic populations. In this study, 36 Hispanic cancer patients/survivors and caregivers in Florida and Puerto Rico participated in focus groups to aid in developing a Spanish-language DVD and booklet intervention designed to increase knowledge about clinical trials. Focus group results showed (a) low levels of knowledge about clinical trials, (b) uncertainty about why a physician would expect a patient to make a choice about treatment, and (c) desire for family participation in decision making. Respondents expressed various preferences for aspects of the DVD such as showing extended family in the DVD and physician explanations about key terms. On the basis of these preferences, the authors developed a creative brief for a DVD. The content of the DVD was reviewed by Hispanic community leaders and key stakeholders. A final DVD was created, in Spanish, using Hispanic patients and physicians, which contained the information deemed important from the focus groups and stakeholder interviews. The DVD is complete with companion booklet and currently undergoing a randomized control trial. PMID:23639101

  7. Factors Predicting Oncology Care Providers' Behavioral Intention to Adopt Clinical Decision Support Systems

    ERIC Educational Resources Information Center

    Wolfenden, Andrew

    2012-01-01

    The purpose of this quantitative correlation study was to examine the predictors of user behavioral intention on the decision of oncology care providers to adopt or reject the clinical decision support system. The Unified Theory of Acceptance and Use of Technology (UTAUT) formed the foundation of the research model and survey instrument. The…

  8. An Examination of Accelerated and Basic Baccalaureate Nursing Students' Perceptions of Clinical Decision Making

    ERIC Educational Resources Information Center

    Krumwiede, Kelly A.

    2010-01-01

    Developing decision-making skills is essential in education in order to be a competent nurse. The purpose of this study was to examine and compare the perceptions of clinical decision-making skills of students enrolled in accelerated and basic baccalaureate nursing programs. A comparative descriptive research design was used for this study.…

  9. Disciplined Decision Making in an Interdisciplinary Environment: Some Implications for Clinical Applications of Statistical Process Control.

    ERIC Educational Resources Information Center

    Hantula, Donald A.

    1995-01-01

    Clinical applications of statistical process control (SPC) in human service organizations are considered. SPC is seen as providing a standard set of criteria that serves as a common interface for data-based decision making, which may bring decision making under the control of established contingencies rather than the immediate contingencies of…

  10. Perceived need of a parental decision aid for the HPV vaccine: content and format preferences.

    PubMed

    Lechuga, Julia; Swain, Geoffrey; Weinhardt, Lance S

    2012-03-01

    The human papillomavirus (HPV) is a precursor of cervical cancer. In 2006, the Federal Drug Administration licensed a vaccine to protect against four types of HPV. Three years postlicensure of the vaccine, HPV vaccination is still fraught with controversy. To date, research suggests that contrary to popular notions, parents are less concerned with controversies on moral issues and more with uncertainty regarding because long-term safety of a drug is resolved after licensure. This study was designed to understand whether mothers from diverse ethnicities perceive a need for a decision support tool. Results suggest that the design of a culturally tailored decision support tool may help guide parents through the decision-making process. PMID:21444922

  11. Expanding the Reach of Participatory Risk Management: Testing an Online Decision-Aiding Framework for Informing Internally Consistent Choices.

    PubMed

    Bessette, Douglas L; Campbell-Arvai, Victoria; Arvai, Joseph

    2016-05-01

    This article presents research aimed at developing and testing an online, multistakeholder decision-aiding framework for informing multiattribute risk management choices associated with energy development and climate change. The framework was designed to provide necessary background information and facilitate internally consistent choices, or choices that are in line with users' prioritized objectives. In order to test different components of the decision-aiding framework, a six-part, 2 × 2 × 2 factorial experiment was conducted, yielding eight treatment scenarios. The three factors included: (1) whether or not users could construct their own alternatives; (2) the level of detail regarding the composition of alternatives users would evaluate; and (3) the way in which a final choice between users' own constructed (or highest-ranked) portfolio and an internally consistent portfolio was presented. Participants' self-reports revealed the framework was easy to use and providing an opportunity to develop one's own risk-management alternatives (Factor 1) led to the highest knowledge gains. Empirical measures showed the internal consistency of users' decisions across all treatments to be lower than expected and confirmed that providing information about alternatives' composition (Factor 2) resulted in the least internally consistent choices. At the same time, those users who did not develop their own alternatives and were not shown detailed information about the composition of alternatives believed their choices to be the most internally consistent. These results raise concerns about how the amount of information provided and the ability to construct alternatives may inversely affect users' real and perceived internal consistency. PMID:26381043

  12. Management of complex knowledge in planning for sustainable development: The use of multi-criteria decision aids

    SciTech Connect

    Kain, Jaan-Henrik Soederberg, Henriette

    2008-01-15

    The vision of sustainable development entails new and complex planning situations, confronting local policy makers with changing political conditions, different content in decision making and planning and new working methods. Moreover, the call for sustainable development has been a major driving force towards an increasingly multi-stakeholder planning system. This situation requires competence in working in, and managing, groups of actors, including not only experts and project owners but also other categories of stakeholders. Among other qualities, such competence requires a working strategy aimed at integrating various, and sometimes incommensurable, forms of knowledge to construct a relevant and valid knowledge base prior to decision making. Consequently, there lies great potential in methods that facilitate the evaluation of strategies for infrastructural development across multiple knowledge areas, so-called multi-criteria decision aids (MCDAs). In the present article, observations from six case studies are discussed, where the common denominators are infrastructural planning, multi-stakeholder participation and the use of MCDAs as interactive decision support. Three MCDAs are discussed - NAIADE, SCA and STRAD - with an emphasis on how they function in their procedural context. Accordingly, this is not an analysis of MCDA algorithms, of software programming aspects or of MCDAs as context-independent 'decision machines'-the focus is on MCDAs as actor systems, not as expert systems. The analysis is carried out across four main themes: (a) symmetrical management of different forms of knowledge; (b) management of heterogeneity, pluralism and conflict; (c) functionality and ease of use; and (d) transparency and trust. It shows that STRAD, by far, seems to be the most useful MCDA in interactive settings. NAIADE and SCA are roughly equivalent but have their strengths and weaknesses in different areas. Moreover, it was found that some MCDA issues require further

  13. Manual and computer-aided materials selection for industrial production: An exercise in decision making

    NASA Technical Reports Server (NTRS)

    Bates, Seth P.

    1990-01-01

    Students are introduced to methods and concepts for systematic selection and evaluation of materials which are to be used to manufacture specific products in industry. For this laboratory exercise, students are asked to work in groups to identify and describe a product, then to proceed through the process to select a list of three candidates to make the item from. The exercise draws on knowledge of mechanical, physical, and chemical properties, common materials test techniques, and resource management skills in finding and assessing property data. A very important part of the exercise is the students' introduction to decision making algorithms, and learning how to apply them to a complex decision making process.

  14. SANDS: A Service-Oriented Architecture for Clinical Decision Support in a National Health Information Network

    PubMed Central

    Wright, Adam; Sittig, Dean F.

    2008-01-01

    In this paper we describe and evaluate a new distributed architecture for clinical decision support called SANDS (Service-oriented Architecture for NHIN Decision Support), which leverages current health information exchange efforts and is based on the principles of a service-oriented architecture. The architecture allows disparate clinical information systems and clinical decision support systems to be seamlessly integrated over a network according to a set of interfaces and protocols described in this paper. The architecture described is fully defined and developed, and six use cases have been developed and tested using a prototype electronic health record which links to one of the existing prototype National Health Information Networks (NHIN): drug interaction checking, syndromic surveillance, diagnostic decision support, inappropriate prescribing in older adults, information at the point of care and a simple personal health record. Some of these use cases utilize existing decision support systems, which are either commercially or freely available at present, and developed outside of the SANDS project, while other use cases are based on decision support systems developed specifically for the project. Open source code for many of these components is available, and an open source reference parser is also available for comparison and testing of other clinical information systems and clinical decision support systems that wish to implement the SANDS architecture. PMID:18434256

  15. Clinical Decision Analysis and Markov Modeling for Surgeons: An Introductory Overview.

    PubMed

    Hogendoorn, Wouter; Moll, Frans L; Sumpio, Bauer E; Hunink, M G Myriam

    2016-08-01

    This study addresses the use of decision analysis and Markov models to make contemplated decisions for surgical problems. Decision analysis and decision modeling in surgical research are increasing, but many surgeons are unfamiliar with the techniques and are skeptical of the results. The goal of this review is to familiarize surgeons with techniques and terminology used in decision analytic papers, to provide the reader a practical guide to read these papers, and to ensure that surgeons can critically appraise the quality of published clinical decision models and draw well founded conclusions from such reports.First, a brief explanation of decision analysis and Markov models is presented in simple steps, followed by an overview of the components of a decision and Markov model. Subsequently, commonly used terms and definitions are described and explained, including quality-adjusted life-years, disability-adjusted life-years, discounting, half-cycle correction, cycle length, probabilistic sensitivity analysis, incremental cost-effectiveness ratio, and the willingness-to-pay threshold.Finally, the advantages and limitations of research with Markov models are described, and new modeling techniques and future perspectives are discussed. It is important that surgeons are able to understand conclusions from decision analytic studies and are familiar with the specific definitions of the terminology used in the field to keep up with surgical research. Decision analysis can guide treatment strategies when complex clinical questions need to be answered and is a necessary and useful addition to the surgical research armamentarium. PMID:26756750

  16. The factors facilitating and inhibiting effective clinical decision-making in nursing: a qualitative study

    PubMed Central

    Hagbaghery, Mohsen Adib; Salsali, Mahvash; Ahmadi, Fazlolah

    2004-01-01

    Background Nurses' practice takes place in a context of ongoing advances in research and technology. The dynamic and uncertain nature of health care environment requires nurses to be competent decision-makers in order to respond to clients' needs. Recently, the public and the government have criticized Iranian nurses because of poor quality of patient care. However nurses' views and experiences on factors that affect their clinical function and clinical decision-making have rarely been studied. Methods Grounded theory methodology was used to analyze the participants' lived experiences and their viewpoints regarding the factors affecting their clinical function and clinical decision-making. Semi-structured interviews and participant observation methods were used to gather the data. Thirty-eight participants were interviewed and twelve sessions of observation were carried out. Constant comparative analysis method was used to analyze the data. Results Five main themes emerged from the data. From the participants' points of view, "feeling competent", "being self-confident", "organizational structure", "nursing education", and "being supported" were considered as important factors in effective clinical decision-making. Conclusion As participants in this research implied, being competent and self-confident are the most important personal factors influencing nurses clinical decision-making. Also external factors such as organizational structure, access to supportive resources and nursing education have strengthening or inhibiting effects on the nurses' decisions. Individual nurses, professional associations, schools of nursing, nurse educators, organizations that employ nurses and government all have responsibility for developing and finding strategies that facilitate nurses' effective clinical decision-making. They are responsible for identifying barriers and enhancing factors within the organizational structure that facilitate nurses' clinical decision-making. PMID

  17. Use of Simulation to Study Nurses' Acceptance and Nonacceptance of Clinical Decision Support Suggestions.

    PubMed

    Sousa, Vanessa E C; Lopez, Karen Dunn; Febretti, Alessandro; Stifter, Janet; Yao, Yingwei; Johnson, Andrew; Wilkie, Diana J; Keenan, Gail M

    2015-10-01

    Our long-term goal was to ensure nurse clinical decision support works as intended before full deployment in clinical practice. As part of a broader effort, this pilot project explored factors influencing acceptance/nonacceptance of eight clinical decision support suggestions displayed in an electronic health record-based nursing plan of care software prototype. A diverse sample of 21 nurses participated in this high-fidelity clinical simulation experience and completed a questionnaire to assess reasons for accepting/not accepting the clinical decision support suggestions. Of 168 total suggestions displayed during the experiment (eight for each of the 21 nurses), 123 (73.2%) were accepted, and 45 (26.8%) were not accepted. The mode number of acceptances by nurses was seven of eight, with only two of 21 nurses accepting all. The main reason for clinical decision support acceptance was the nurse's belief that the suggestions were good for the patient (100%), with other features providing secondary reinforcement. Reasons for nonacceptance were less clear, with fewer than half of the subjects indicating low confidence in the evidence. This study provides preliminary evidence that high-quality simulation and targeted questionnaires about specific clinical decision support selections offer a cost-effective means for testing before full deployment in clinical practice. PMID:26361268

  18. Hip fractures and dementia: clinical decisions for the future

    PubMed Central

    Waran, Eswaran; William, Leeroy

    2016-01-01

    Severe dementia is a life-limiting condition; hip fractures are more common in patients who have dementia. This study outlines the case of a 92-year-old female with severe dementia who sustained a hip fracture. Despite having a terminal diagnosis (severe dementia and hip fracture) and poor premorbid quality of life, she had a life-prolonging surgery. The report outlines issues around treatment options in such circumstances, informed consent and substitute decision-making. The authors propose a ‘goals of care’ approach to manage patients in whom the best treatment is unclear, during their attendance to the emergency department. It is suggested that utilization of such a model may help with substitute decision-making and true informed consent. PMID:26949537

  19. A decision-analysis methodology for consideration of morbidity factors in clinical decision-making.

    PubMed

    Corder, M P; Ellwein, L B

    1984-02-01

    An explicit and systematic means of incorporation of good medical practice plus individual patient preferences (utilities) for pretreatment and treatment options for a serious but curable neoplastic disease has been investigated. The methodology allows important quality-of-life information to be transmitted to patients, with the goal of providing an improved basis for informed consent. The example of Hodgkin's lymphoma staging and treatment selection is used. Individual patient utilities can be expressed and incorporated into a formal decision analysis for those who face the option of selecting MOPP chemotherapy or of pursuing the staging process in order to obtain a chance of being treated appropriately with irradiation. Equal survival probabilities for the two options are assumed, thus the short- and long-term toxicities (quality of Life) are the determinants of the decision. Patient-derived utilities can be developed for the 15 categories of anticipated toxicity. This, together with probabilistic inputs regarding toxicity severity and duration, will yield expected utilities for each of the decision options. Three physicians were studied and evaluated in the role of a patient. The physicians' toxicity preferences were different and because of this the management option of choice was different for each. This methodology allows explicit patient preferences to be incorporated into medical decisions without the requirement for detailed patient understanding of testing and/or treatment morbidity frequency and severity. PMID:6546469

  20. Computer-Aided Decisions in Human Services: Expert Systems and Multivariate Models.

    ERIC Educational Resources Information Center

    Sicoly, Fiore

    1989-01-01

    This comparison of two approaches to the development of computerized supports for decision making--expert systems and multivariate models--focuses on computerized systems that assist professionals with tasks related to diagnosis or classification in human services. Validation of both expert systems and statistical models is emphasized. (39…

  1. FORBEEF: A Forage-Livestock System Computer Model Used as a Teaching Aid for Decision Making.

    ERIC Educational Resources Information Center

    Stringer, W. C.; And Others

    1987-01-01

    Describes the development of a computer simulation model of forage-beef production systems, which is intended to incorporate soil, forage, and animal decisions into an enterprise scenario. Produces a summary of forage production and livestock needs. Cites positive assessment of the program's value by participants in inservice training workshops.…

  2. Modeling Comparative Daily Enrollment Indicators To Aid Intelligent College Decisions. AIR 2001 Annual Forum Paper.

    ERIC Educational Resources Information Center

    Lajubutu, Oyebanjo A.

    This paper shows how three critical enrollment indicators drawn from a relationship database were used to guide planning and management decisions. The paper discusses the guidelines for the development of the model, attributes needed, variables to be calculated, and other issues that may improve the effectiveness and efficiency of daily enrollment…

  3. Multi-Stakeholder Decision Aid for Improved Prioritization of the Public Health Impact of Climate Sensitive Infectious Diseases

    PubMed Central

    Hongoh, Valerie; Michel, Pascal; Gosselin, Pierre; Samoura, Karim; Ravel, André; Campagna, Céline; Cissé, Hassane Djibrilla; Waaub, Jean-Philippe

    2016-01-01

    The effects of climate change on infectious diseases are an important global health concern and necessitate decisions for allocation of resources. Economic tools have been used previously; however, how prioritization results might differ when done using broader considerations identified by local stakeholders has yet to be assessed. A multicriteria decision analysis (MCDA) approach was used to assess multi-stakeholder expressed concerns around disease prioritization via focus groups held in Quebec and Burkina Faso. Stakeholders weighted criteria and comparisons were made across study sites. A pilot disease prioritization was done to examine effects on disease rankings. A majority of identified criteria were common to both sites. The effect of context specific criteria and weights resulted in similar yet distinct prioritizations of diseases. The presence of consistent criteria between sites suggests that common concerns exist for prioritization; however, context-specific adjustments reveal much regarding resource availability, capacity and concerns that should be considered as this impacts disease ranking. Participatory decision aid approaches facilitate rich knowledge exchange and problem structuring. Furthermore, given multiple actors in low- and middle-income countries settings, multi-actor collaborations across non-governmental organizations, local government and community are important. Formal mechanisms such as MCDA provide means to foster consensus, shared awareness and collaboration. PMID:27077875

  4. Multi-Stakeholder Decision Aid for Improved Prioritization of the Public Health Impact of Climate Sensitive Infectious Diseases.

    PubMed

    Hongoh, Valerie; Michel, Pascal; Gosselin, Pierre; Samoura, Karim; Ravel, André; Campagna, Céline; Cissé, Hassane Djibrilla; Waaub, Jean-Philippe

    2016-04-01

    The effects of climate change on infectious diseases are an important global health concern and necessitate decisions for allocation of resources. Economic tools have been used previously; however, how prioritization results might differ when done using broader considerations identified by local stakeholders has yet to be assessed. A multicriteria decision analysis (MCDA) approach was used to assess multi-stakeholder expressed concerns around disease prioritization via focus groups held in Quebec and Burkina Faso. Stakeholders weighted criteria and comparisons were made across study sites. A pilot disease prioritization was done to examine effects on disease rankings. A majority of identified criteria were common to both sites. The effect of context specific criteria and weights resulted in similar yet distinct prioritizations of diseases. The presence of consistent criteria between sites suggests that common concerns exist for prioritization; however, context-specific adjustments reveal much regarding resource availability, capacity and concerns that should be considered as this impacts disease ranking. Participatory decision aid approaches facilitate rich knowledge exchange and problem structuring. Furthermore, given multiple actors in low- and middle-income countries settings, multi-actor collaborations across non-governmental organizations, local government and community are important. Formal mechanisms such as MCDA provide means to foster consensus, shared awareness and collaboration. PMID:27077875

  5. Informed Choice for Participation in Down Syndrome Screening: Development and Content of a Web-Based Decision Aid

    PubMed Central

    Hansen, Helle Ploug; Draborg, Eva; Pedersen, Claus Duedal; Lamont, Ronald F; Jørgensen, Jan Stener

    2015-01-01

    Background In Denmark, all pregnant women are offered screening in early pregnancy to estimate the risk of having a fetus with Down syndrome. Pregnant women participating in the screening program should be provided with information and support to allow them to make an informed choice. There is increasing interest in the use of Web-based technology to provide information and digital solutions for the delivery of health care. Objective The aim of this study was to develop an eHealth tool that contained accurate and relevant information to allow pregnant women to make an informed choice about whether to accept or reject participation in screening for Down syndrome. Methods The development of the eHealth tool involved the cooperation of researchers, technology experts, clinicians, and users. The underlying theoretical framework was based on participatory design, the International Patient Decision Aid Standards (IPDAS) Collaboration guide to develop a patient decision aid, and the roadmap for developing eHealth technologies from the Center for eHealth Research and Disease Management (CeHRes). The methods employed were a systematic literature search, focus group interviews with 3 care providers and 14 pregnant women, and 2 weeks of field observations. A qualitative descriptive approach was used in this study. Results Relevant themes from pregnant women and care providers with respect to information about Down syndrome screening were identified. Based on formalized processes for developing patient decision aids and eHealth technologies, an interactive website containing information about Down syndrome, methods of screening, and consequences of the test was developed. The intervention was based on user requests and needs, and reflected the current hospital practice and national guidelines. Conclusions This paper describes the development and content of an interactive website to support pregnant women in making informed choices about Down syndrome screening. To develop the

  6. The end of life decisions -- should physicians aid their patients in dying?

    PubMed

    Sharma, B R

    2004-06-01

    Decisions pertaining to end of life whether legalized or otherwise, are made in many parts of the world but not reported on account of legal implications. The highly charged debate over voluntary euthanasia and physician assisted suicide was brought into the public arena again when two British doctors confessed to giving lethal doses of drugs to hasten the death of terminally ill patients. Lack of awareness regarding the distinction between different procedures on account of legal status granted to them in some countries is the other area of concern. Some equate withdrawal of life support measures to physician assisted suicide whereas physician assisted suicide is often misinterpreted as euthanasia. Debate among the medical practitioners, law makers and the public taking into consideration the cultural, social and religious ethos will lead to increased awareness, more safeguards and improvement of medical decisions concerning the end of life. International Human Rights Law can provide a consensual basis for such a debate on euthanasia. PMID:15260998

  7. Development and assessment of a clinically viable system for breast ultrasound computer-aided diagnosis

    NASA Astrophysics Data System (ADS)

    Gruszauskas, Nicholas Peter

    The chances of surviving a breast cancer diagnosis as well as the effectiveness of any potential treatments increase significantly with early detection of the disease. As such, a considerable amount of research is being conducted to augment the breast cancer detection and diagnosis process. One such area of research involves the investigation and application of sophisticated computer algorithms to assist clinicians in detecting and diagnosing breast cancer on medical images (termed generally as "computer-aided diagnosis" or CAD). This study investigated a previously-developed breast ultrasound CAD system with the intent of translating it into a clinically-viable system. While past studies have demonstrated that breast ultrasound CAD may be a beneficial aid during the diagnosis of breast cancer on ultrasound, there are no investigations concerning its potential clinical translation and there are currently no commercially-available implementations of such systems. This study "bridges the gap" between the laboratory-developed system and the steps necessary for clinical implementation. A novel observer study was conducted that mimicked the clinical use of the breast ultrasound CAD system in order to assess the impact it had on the diagnostic performance of the user. Several robustness studies were also performed: the sonographic features used by the system were evaluated and the databases used for calibration and testing were characterized, the effect of the user's input was assessed by evaluating the performance of the system with variations in lesion identification and image selection, and the performance of the system on different patient populations was investigated by evaluating its performance on a database consisting solely of patients with Asian ethnicity. The analyses performed here indicate that the breast ultrasound CAD system under investigation is robust and demonstrates only minor variability when subjected to "real-world" use. All of these results are

  8. Visual cluster analysis in support of clinical decision intelligence.

    PubMed

    Gotz, David; Sun, Jimeng; Cao, Nan; Ebadollahi, Shahram

    2011-01-01

    Electronic health records (EHRs) contain a wealth of information about patients. In addition to providing efficient and accurate records for individual patients, large databases of EHRs contain valuable information about overall patient populations. While statistical insights describing an overall population are beneficial, they are often not specific enough to use as the basis for individualized patient-centric decisions. To address this challenge, we describe an approach based on patient similarity which analyzes an EHR database to extract a cohort of patient records most similar to a specific target patient. Clusters of similar patients are then visualized to allow interactive visual refinement by human experts. Statistics are then extracted from the refined patient clusters and displayed to users. The statistical insights taken from these refined clusters provide personalized guidance for complex decisions. This paper focuses on the cluster refinement stage where an expert user must interactively (a) judge the quality and contents of automatically generated similar patient clusters, and (b) refine the clusters based on his/her expertise. We describe the DICON visualization tool which allows users to interactively view and refine multidimensional similar patient clusters. We also present results from a preliminary evaluation where two medical doctors provided feedback on our approach. PMID:22195102

  9. Visual Cluster Analysis in Support of Clinical Decision Intelligence

    PubMed Central

    Gotz, David; Sun, Jimeng; Cao, Nan; Ebadollahi, Shahram

    2011-01-01

    Electronic health records (EHRs) contain a wealth of information about patients. In addition to providing efficient and accurate records for individual patients, large databases of EHRs contain valuable information about overall patient populations. While statistical insights describing an overall population are beneficial, they are often not specific enough to use as the basis for individualized patient-centric decisions. To address this challenge, we describe an approach based on patient similarity which analyzes an EHR database to extract a cohort of patient records most similar to a specific target patient. Clusters of similar patients are then visualized to allow interactive visual refinement by human experts. Statistics are then extracted from the refined patient clusters and displayed to users. The statistical insights taken from these refined clusters provide personalized guidance for complex decisions. This paper focuses on the cluster refinement stage where an expert user must interactively (a) judge the quality and contents of automatically generated similar patient clusters, and (b) refine the clusters based on his/her expertise. We describe the DICON visualization tool which allows users to interactively view and refine multidimensional similar patient clusters. We also present results from a preliminary evaluation where two medical doctors provided feedback on our approach. PMID:22195102

  10. Clinical utility of dronabinol in the treatment of weight loss associated with HIV and AIDS

    PubMed Central

    Badowski, Melissa E; Perez, Sarah E

    2016-01-01

    Since the beginning of the HIV/AIDS epidemic, weight loss has been a common complaint for patients. The use of various definitions defining HIV wasting syndrome has made it difficult to determine its actual prevalence. Despite the use of highly active antiretroviral therapy, it is estimated that the prevalence of HIV wasting syndrome is between 14% and 38%. HIV wasting syndrome may stem from conditions affecting chewing, swallowing, or gastrointestinal motility, neurologic disease affecting food intake or the perception of hunger or ability to eat, psychiatric illness, food insecurity generated from psychosocial or economic concerns, or anorexia due to medications, malabsorption, infections, or tumors. Treatment of HIV wasting syndrome may be managed with appetite stimulants (megestrol acetate or dronabinol), anabolic agents (testosterone, testosterone analogs, or recombinant human growth hormone), or, rarely, cytokine production modulators (thalidomide). The goal of this review is to provide an in-depth evaluation based on existing clinical trials on the clinical utility of dronabinol in the treatment of weight loss associated with HIV/AIDS. Although total body weight gain varies with dronabinol use (–2.0 to 3.2 kg), dronabinol is a well-tolerated option to promote appetite stimulation. Further studies are needed with standardized definitions of HIV-associated weight loss and clinical outcomes, robust sample sizes, safety and efficacy data on chronic use of dronabinol beyond 52 weeks, and associated virologic and immunologic outcomes. PMID:26929669

  11. Clinical utility of dronabinol in the treatment of weight loss associated with HIV and AIDS.

    PubMed

    Badowski, Melissa E; Perez, Sarah E

    2016-01-01

    Since the beginning of the HIV/AIDS epidemic, weight loss has been a common complaint for patients. The use of various definitions defining HIV wasting syndrome has made it difficult to determine its actual prevalence. Despite the use of highly active antiretroviral therapy, it is estimated that the prevalence of HIV wasting syndrome is between 14% and 38%. HIV wasting syndrome may stem from conditions affecting chewing, swallowing, or gastrointestinal motility, neurologic disease affecting food intake or the perception of hunger or ability to eat, psychiatric illness, food insecurity generated from psychosocial or economic concerns, or anorexia due to medications, malabsorption, infections, or tumors. Treatment of HIV wasting syndrome may be managed with appetite stimulants (megestrol acetate or dronabinol), anabolic agents (testosterone, testosterone analogs, or recombinant human growth hormone), or, rarely, cytokine production modulators (thalidomide). The goal of this review is to provide an in-depth evaluation based on existing clinical trials on the clinical utility of dronabinol in the treatment of weight loss associated with HIV/AIDS. Although total body weight gain varies with dronabinol use (-2.0 to 3.2 kg), dronabinol is a well-tolerated option to promote appetite stimulation. Further studies are needed with standardized definitions of HIV-associated weight loss and clinical outcomes, robust sample sizes, safety and efficacy data on chronic use of dronabinol beyond 52 weeks, and associated virologic and immunologic outcomes. PMID:26929669

  12. Empirically and Clinically Useful Decision Making in Psychotherapy: Differential Predictions with Treatment Response Models

    ERIC Educational Resources Information Center

    Lutz, Wolfgang; Saunders, Stephen M.; Leon, Scott C.; Martinovich, Zoran; Kosfelder, Joachim; Schulte, Dietmar; Grawe, Klaus; Tholen, Sven

    2006-01-01

    In the delivery of clinical services, outcomes monitoring (i.e., repeated assessments of a patient's response to treatment) can be used to support clinical decision making (i.e., recurrent revisions of outcome expectations on the basis of that response). Outcomes monitoring can be particularly useful in the context of established practice research…

  13. Computer Decision Support to Improve Autism Screening and Care in Community Pediatric Clinics

    ERIC Educational Resources Information Center

    Bauer, Nerissa S.; Sturm, Lynne A.; Carroll, Aaron E.; Downs, Stephen M.

    2013-01-01

    An autism module was added to an existing computer decision support system (CDSS) to facilitate adherence to recommended guidelines for screening for autism spectrum disorders in primary care pediatric clinics. User satisfaction was assessed by survey and informal feedback at monthly meetings between clinical staff and the software team. To assess…

  14. Clinical decision-making and therapeutic approaches in osteopathy - a qualitative grounded theory study.

    PubMed

    Thomson, Oliver P; Petty, Nicola J; Moore, Ann P

    2014-02-01

    There is limited understanding of how osteopaths make decisions in relation to clinical practice. The aim of this research was to construct an explanatory theory of the clinical decision-making and therapeutic approaches of experienced osteopaths in the UK. Twelve UK registered osteopaths participated in this constructivist grounded theory qualitative study. Purposive and theoretical sampling was used to select participants. Data was collected using semi-structured interviews which were audio-recorded and transcribed. As the study approached theoretical sufficiency, participants were observed and video-recorded during a patient appointment, which was followed by a video-prompted interview. Constant comparative analysis was used to analyse and code data. Data analysis resulted in the construction of three qualitatively different therapeutic approaches which characterised participants and their clinical practice, termed; Treater, Communicator and Educator. Participants' therapeutic approach influenced their approach to clinical decision-making, the level of patient involvement, their interaction with patients, and therapeutic goals. Participants' overall conception of practice lay on a continuum ranging from technical rationality to professional artistry, and contributed to their therapeutic approach. A range of factors were identified which influenced participants' conception of practice. The findings indicate that there is variation in osteopaths' therapeutic approaches to practice and clinical decision-making, which are influenced by their overall conception of practice. This study provides the first explanatory theory of the clinical decision-making and therapeutic approaches of osteopaths. PMID:23932101

  15. A single-blind randomised controlled trial of the effects of a web-based decision aid on self-testing for cholesterol and diabetes. study protocol

    PubMed Central

    2012-01-01

    Background Self-tests, tests on body materials to detect medical conditions, are widely available to the general public. Self-testing does have advantages as well as disadvantages, and the debate on whether self-testing should be encouraged or rather discouraged is still ongoing. One of the concerns is whether consumers have sufficient knowledge to perform the test and interpret the results. An online decision aid (DA) with information on self-testing in general, and test specific information on cholesterol and diabetes self-testing was developed. The DA aims to provide objective information on these self-tests as well as a decision support tool to weigh the pros and cons of self-testing. The aim of this study is to evaluate the effect of the online decision aid on knowledge on self-testing, informed choice, ambivalence and psychosocial determinants. Methods/Design A single blind randomised controlled trial in which the online decision aid 'zelftestwijzer' is compared to short, non-interactive information on self-testing in general. The entire trial will be conducted online. Participants will be selected from an existing Internet panel. Consumers who are considering doing a cholesterol or diabetes self-test in the future will be included. Outcome measures will be assessed directly after participants have viewed either the DA or the control condition. Weblog files will be used to record participants' use of the decision aid. Discussion Self-testing does have important pros and cons, and it is important that consumers base their decision whether they want to do a self-test or not on knowledge and personal values. This study is the first to evaluate the effect of an online decision aid for self-testing. Trial registration Dutch Trial Register: NTR3149 PMID:22216905

  16. Detecting fast, online reasoning processes in clinical decision making.

    PubMed

    Flores, Amanda; Cobos, Pedro L; López, Francisco J; Godoy, Antonio

    2014-06-01

    In an experiment that used the inconsistency paradigm, experienced clinical psychologists and psychology students performed a reading task using clinical reports and a diagnostic judgment task. The clinical reports provided information about the symptoms of hypothetical clients who had been previously diagnosed with a specific mental disorder. Reading times of inconsistent target sentences were slower than those of control sentences, demonstrating an inconsistency effect. The results also showed that experienced clinicians gave different weights to different symptoms according to their relevance when fluently reading the clinical reports provided, despite the fact that all the symptoms were of equal diagnostic value according to the Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.; American Psychiatric Association, 2000). The diagnostic judgment task yielded a similar pattern of results. In contrast to previous findings, the results of the reading task may be taken as direct evidence of the intervention of reasoning processes that occur very early, rapidly, and online. We suggest that these processes are based on the representation of mental disorders and that these representations are particularly suited to fast retrieval from memory and to making inferences. They may also be related to the clinicians' causal reasoning. The implications of these results for clinician training are also discussed. PMID:24274045

  17. A Three-Question Framework to Facilitate Clinical Decision Making

    ERIC Educational Resources Information Center

    Sibold, Jeremy

    2012-01-01

    Context: Highly developed critical thinking and the ability to discriminate among many possible therapeutic interventions is a core behavior for the practicing athletic trainer. However, while athletic training students receive a great deal of clinically applicable information, many are not explicitly trained in efficient methods for channeling…

  18. Dental patient preferences and choice in clinical decision-making.

    PubMed

    Fukai, Kakuhiro; Yoshino, Koichi; Ohyama, Atsushi; Takaesu, Yoshinori

    2012-01-01

    In economics, the concept of utility refers to the strength of customer preference. In health care assessment, the visual analogue scale (VAS), the standard gamble, and the time trade-off are used to measure health state utilities. These utility measurements play a key role in promoting shared decision-making in dental care. Individual preference, however, is complex and dynamic. The purpose of this study was to investigate the relationship between patient preference and educational intervention in the field of dental health. The data were collected by distributing questionnaires to employees of two companies in Japan. Participants were aged 18-65 years and consisted of 111 males and 93 females (204 in total). One company (Group A) had a dental program of annual check-ups and health education in the workplace, while the other company (Group B) had no such program. Statistical analyses were performed with the t-test and Chi-square test. The questionnaire items were designed to determine: (1) oral health-related quality of life, (2) dental health state utilities (using VAS), and (3) time trade-off for regular dental check-ups. The percentage of respondents in both groups who were satisfied with chewing function, appearance of teeth, and social function ranged from 23.1 to 42.4%. There were no significant differences between groups A and B in the VAS of decayed, filled, and missing teeth. The VAS of gum bleeding was 42.8 in Group A and 51.3 in Group B (p<0.05). The percentage of persons having a regular dental check-up every three months was 34.1 and 31.3% in Groups A and B respectively. These results suggest that low preference results from lack of opportunity or utilization of dental care in the worksite. Ascertaining the factors involved in patient preference may have significant potential benefits in shared decision-making. PMID:22790334

  19. Helping People with HIV/AIDS Return to Work: A Randomized Clinical Trial

    PubMed Central

    Martin, David J.; Chernoff, Robert A.; Buitron, Michael; Comulada, W. Scott; Liang, Li-Jung; Wong, F. Lennie

    2013-01-01

    Objective New treatments introduced in the mid 1990s led many people with HIV/AIDS who previously had been disabled by their disease to contemplate workforce reentry; many remain unemployed, and little is known concerning interventions that might help them return to work. We report the results of a randomized clinical trial (RCT) of an intervention designed to help people with HIV/AIDS reenter the workforce. Design We tested a mixed (group – individual) modality intervention that incorporated elements of Motivational Interviewing (Miller & Rollnick, 2002), skills building from Dialectical Behavior Therapy (Linehan, 1993), and job-related skills (Price & Vinokur, 1995). A total of 174 individuals participated in either the intervention or in standard of care and were followed for 24 months. Results Compared to individuals referred for standard of care, participants in the intervention engaged in more workforce-reentry activities over time and, once employed, were more likely to remain employed. Dose-response analyses revealed that among intervention participants, participants who attended more than one individual session engaged in more workforce-reentry activities than did individual who attended one or fewer individual sessions, whereas frequency of group session participation did not effect a difference between participants who attended more than six group sessions and participants who attended six or fewer group sessions. Conclusion Theoretically-based workforce-reentry assistance programs can assist disabled people with HIV/AIDS in their return-to-work efforts. PMID:23148715

  20. Bayesian Networks for Clinical Decision Support in Lung Cancer Care

    PubMed Central

    Sesen, M. Berkan; Nicholson, Ann E.; Banares-Alcantara, Rene; Kadir, Timor; Brady, Michael

    2013-01-01

    Survival prediction and treatment selection in lung cancer care are characterised by high levels of uncertainty. Bayesian Networks (BNs), which naturally reason with uncertain domain knowledge, can be applied to aid lung cancer experts by providing personalised survival estimates and treatment selection recommendations. Based on the English Lung Cancer Database (LUCADA), we evaluate the feasibility of BNs for these two tasks, while comparing the performances of various causal discovery approaches to uncover the most feasible network structure from expert knowledge and data. We show first that the BN structure elicited from clinicians achieves a disappointing area under the ROC curve of 0.75 (± 0.03), whereas a structure learned by the CAMML hybrid causal discovery algorithm, which adheres with the temporal restrictions, achieves 0.81 (± 0.03). Second, our causal intervention results reveal that BN treatment recommendations, based on prescribing the treatment plan that maximises survival, can only predict the recorded treatment plan 29% of the time. However, this percentage rises to 76% when partial matches are included. PMID:24324773

  1. Evaluating the use of a computerized clinical decision support system for asthma by pediatric pulmonologists

    PubMed Central

    Lomotan, Edwin A.; Hoeksema, Laura J.; Edmonds, Diana E.; Ramírez-Garnica, Gabriela; Shiffman, Richard N.; Horwitz, Leora I.

    2012-01-01

    Purpose To investigate use of a new guideline-based, computerized clinical decision support (CCDS) system for asthma in a pediatric pulmonology clinic of a large academic medical center. Methods We conducted a qualitative evaluation including review of electronic data, direct observation, and interviews with all nine pediatric pulmonologists in the clinic. Outcome measures included patterns of computer use in relation to patient care, and themes surrounding the relationship between asthma care and computer use. Results The pediatric pulmonologists entered enough data to trigger the decision support system in 397/445 (89.2%) of all asthma visits from January 2009 to May 2009. However, interviews and direct observations revealed use of the decision support system was limited to documentation activities after clinic sessions ended. Reasons for delayed use reflected barriers common to general medical care and barriers specific to subspecialty care. Subspecialist-specific barriers included the perceived high complexity of patients, the impact of subject matter expertise on the types of decision support needed, and unique workflow concerns such as the need to create letters to referring physicians. Conclusions Pediatric pulmonologists demonstrated low use of a computerized decision support system for asthma care because of a combination of general and subspecialist-specific factors. Subspecialist-specific factors should not be underestimated when designing guideline-based, computerized decision support systems for the subspecialty setting. PMID:22204897

  2. Managing risk: clinical decision-making in mental health services.

    PubMed

    Muir-Cochrane, Eimear; Gerace, Adam; Mosel, Krista; O'Kane, Debra; Barkway, Patricia; Curren, David; Oster, Candice

    2011-01-01

    Risk assessment and management is a major component of contemporary mental health practice. Risk assessment in health care exists within contemporary perspectives of management and risk aversive practices in health care. This has led to much discussion about the best approach to assessing possible risks posed by people with mental health problems. In addition, researchers and commentators have expressed concern that clinical practice is being dominated by managerial models of risk management at the expense of meeting the patient's health and social care needs. The purpose of the present study is to investigate the risk assessment practices of a multidisciplinary mental health service. Findings indicate that mental health professionals draw on both managerial and therapeutic approaches to risk management, integrating these approaches into their clinical practice. Rather than being dominated by managerial concerns regarding risk, the participants demonstrate professional autonomy and concern for the needs of their clients. PMID:22077745

  3. Using computer aided case based reasoning to support clinical reasoning in community occupational therapy.

    PubMed

    Taylor, Bruce; Robertson, David; Wiratunga, Nirmalie; Craw, Susan; Mitchell, Dawn; Stewart, Elaine

    2007-08-01

    Community occupational therapists have long been involved in the provision of environmental control systems. Diverse electronic technologies with the potential to improve the health and quality of life of selected clients have developed rapidly in recent years. Occupational therapists employ clinical reasoning in order to determine the most appropriate technology to meet the needs of individual clients. This paper describes a number of the drivers that may increase the adoption of information and communication technologies in the occupational therapy profession. It outlines case based reasoning as understood in the domains of expert systems and knowledge management and presents the preliminary results of an ongoing investigation into the potential of a prototype computer aided case based reasoning tool to support the clinical reasoning of community occupational therapists in the process of assisting clients to choose home electronic assistive or smart house technology. PMID:17576021

  4. Engaging Transgender People in NIH-Funded HIV/AIDS Clinical Trials Research.

    PubMed

    Siskind, Rona L; Andrasik, Michele; Karuna, Shelly T; Broder, Gail B; Collins, Clare; Liu, Albert; Lucas, Jonathan Paul; Harper, Gary W; Renzullo, Philip O

    2016-08-15

    In 2009, the National Institutes of Health recognized the need to expand knowledge of lesbian, gay, bisexual, and transgender (LGBT) health and commissioned the Institute of Medicine to report on the health of these populations in the United States. The resulting Institute of Medicine publication called for more knowledge of the health of LGBT populations, as well as improved methodologies to reach them, more LGBT-focused research, and enhanced training programs and cultural competency of physicians and researchers. Several of the National Institutes of Health-funded HIV/AIDS clinical trials networks, including the Adolescent Medicine Trials Network for HIV/AIDS Interventions, HIV Prevention Trials Network, HIV Vaccine Trials Network, and Microbicide Trials Network, have focused attention on engaging transgender (TG) individuals in research. They have identified issues that transcend the nature of research (ie, treatment or prevention, adult or adolescent) and have adopted various approaches to effectively engage the TG community. Each network has recognized the importance of developing partnerships to build trust with and seek input from TG individuals on research plans and policies. They have established standing advisory groups and convened consultations for this purpose. To ensure that trial data are reflective of the participants they are seeking to enroll, they have reviewed and revised data collection forms to incorporate the 2-step method of collecting sex at birth and gender identity as 2 independent variables, and some have also revised research protocol templates and policies for concept development to ensure that they are appropriate for the inclusion of TG participants. The networks have also initiated trainings to enhance cultural sensitivity and developed a range of materials and resources for network and clinical research site staff. They continue to identify TG-specific research needs in an effort to be more responsive to and improve the health of

  5. Engaging Transgender People in NIH-Funded HIV/AIDS Clinical Trials Research

    PubMed Central

    Andrasik, Michele; Karuna, Shelly T.; Broder, Gail B.; Collins, Clare; Liu, Albert; Lucas, Jonathan Paul; Harper, Gary W.; Renzullo, Philip O.

    2016-01-01

    Abstract: In 2009, the National Institutes of Health recognized the need to expand knowledge of lesbian, gay, bisexual, and transgender (LGBT) health and commissioned the Institute of Medicine to report on the health of these populations in the United States. The resulting Institute of Medicine publication called for more knowledge of the health of LGBT populations, as well as improved methodologies to reach them, more LGBT-focused research, and enhanced training programs and cultural competency of physicians and researchers. Several of the National Institutes of Health–funded HIV/AIDS clinical trials networks, including the Adolescent Medicine Trials Network for HIV/AIDS Interventions, HIV Prevention Trials Network, HIV Vaccine Trials Network, and Microbicide Trials Network, have focused attention on engaging transgender (TG) individuals in research. They have identified issues that transcend the nature of research (ie, treatment or prevention, adult or adolescent) and have adopted various approaches to effectively engage the TG community. Each network has recognized the importance of developing partnerships to build trust with and seek input from TG individuals on research plans and policies. They have established standing advisory groups and convened consultations for this purpose. To ensure that trial data are reflective of the participants they are seeking to enroll, they have reviewed and revised data collection forms to incorporate the 2-step method of collecting sex at birth and gender identity as 2 independent variables, and some have also revised research protocol templates and policies for concept development to ensure that they are appropriate for the inclusion of TG participants. The networks have also initiated trainings to enhance cultural sensitivity and developed a range of materials and resources for network and clinical research site staff. They continue to identify TG-specific research needs in an effort to be more responsive to and improve

  6. End-stage kidney disease patient evaluation of the Australian ‘My Kidneys, My Choice’ decision aid

    PubMed Central

    Fortnum, Debbie; Grennan, Kirren; Smolonogov, Tatiana

    2015-01-01

    Background A multidisciplinary team in Australia and New Zealand utilized a current decision-making theory to develop the ‘My Kidneys, My Choice’ decision aid (MKDA) to support end-stage kidney disease (ESKD) treatment options in decision-making. Assessment of the MKDA was deemed critical to practice integration. Methods A multisite pre-test, post-test study design was used. Routine ESKD education was supported by the MKDA. Knowledge levels, worries and priorities were assessed pre- and post-education with Likert-scale questions. MKDA usability and treatment option preferences were surveyed post-test. Data were analysed in SPSS. Results Ninety-seven participants completed the pre-survey and 72 (70%) the post-survey. Mean pre-test knowledge scores ranged from: 0.88 (SD 1.5) for conservative care to 1.32 (SD 1.3) for centre-based dialysis. Post-decision-making knowledge levels increased significantly (P < 0.001). Worry and flexibility scores all increased significantly (P < 0.05) from pre- to post-test; about future pre- 4.15 (SD 1.3), post- 4.61 (SD 0.76); change to lifestyle 4.23 (SD 1.05), 4.59 (SD 0.8); ability to work/do leisure activities 3.67 (SD 1.56) 4.27 (SD 1.17) and desire for flexibility 4.51 (SD 0.86), 4.76 (SD 0.66). MKDA usability scores were high: easy to understand 4.64, (SD 0.77), easy to follow 4.65, (SD 0.66) and supporting decision-making 4.76 (SD 0.61). MKDA section scores ranged from 4.21 (SD 0.75) for writing treatment choices to 4.90 (SD 0.41) for the use of the treatment option comparison grid. Conclusions Preliminary MKDA assessment revealed high patient acceptance and usability. Patients had equitable knowledge of all treatment options but experienced higher post-worries levels than anticipated. PMID:26251720

  7. Development of computer-aided functions in clinical neurosurgery with PACS

    NASA Astrophysics Data System (ADS)

    Mukasa, Minoru; Aoki, Makoto; Satoh, Minoru; Kowada, Masayoshi; Kikuchi, K.

    1991-07-01

    The introduction of the "Picture Archiving and Communications System (known as PACS)," provides many benefits, including the application of C.A.D., (Computer Aided Diagnosis). Clinically, this allows for the measurement and design of an operation to be easily completed with the CRT monitors of PACS rather than with film, as has been customary in the past. Under the leadership of the Department of Neurosurgery, Akita University School of Medicine, and Southern Tohoku Research Institute for Neuroscience, Koriyama, new computer aided functions with EFPACS (Fuji Electric's PACS) have been developed for use in clinical neurosurgery. This image processing is composed of three parts as follows: (1) Automatic mapping of small lesions depicted on Magnetic Resonance (or MR) images on the brain atlas. (2) Superimposition of two angiographic films onto a single synthesized image. (3) Automatic mapping of the lesion's position (as shown on the. CT images) on the processing image referred to in the foregoing clause 2. The processing in the clause (1) provides a reference for anatomical estimation. The processing in the clause (2) is used for general analysis of the condition of a disease. The processing in the clause (3) is used to design the operation. This image processing is currently being used with good results.

  8. Multicriteria decision-aid method to evaluate the performance of stormwater infiltration systems over the time.

    PubMed

    Moura, P; Barraud, S; Baptista, M B; Malard, F

    2011-01-01

    Nowadays, stormwater infiltration systems are frequently used because of their ability to reduce flows and volumes in downstream sewers, decrease overflows in surface waters and make it possible to recharge groundwater. Moreover, they come in various forms with different uses. Despite these advantages the long term sustainability of these systems is questionable and their real performances have to be assessed taking into account various and sometimes conflicting aspects. To address this problem a decision support system is proposed. It is based on a multicriteria method built to help managers to evaluate the performance of an existing infiltration system at different stages of its lifespan and identify whether it performs correctly or not, according to environmental, socio-economic, technical and sanitary aspects. The paper presents successively: the performance indicators and the way they were built, the multicriteria method to identify if the system works properly and a case study. PMID:22105120

  9. Fracture risk assessment: improved evaluation of vertebral integrity among metastatic cancer patients to aid in surgical decision-making

    NASA Astrophysics Data System (ADS)

    Augustine, Kurt E.; Camp, Jon J.; Holmes, David R.; Huddleston, Paul M.; Lu, Lichun; Yaszemski, Michael J.; Robb, Richard A.

    2012-03-01

    Failure of the spine's structural integrity from metastatic disease can lead to both pain and neurologic deficit. Fractures that require treatment occur in over 30% of bony metastases. Our objective is to use computed tomography (CT) in conjunction with analytic techniques that have been previously developed to predict fracture risk in cancer patients with metastatic disease to the spine. Current clinical practice for cancer patients with spine metastasis often requires an empirical decision regarding spinal reconstructive surgery. Early image-based software systems used for CT analysis are time consuming and poorly suited for clinical application. The Biomedical Image Resource (BIR) at Mayo Clinic, Rochester has developed an image analysis computer program that calculates from CT scans, the residual load-bearing capacity in a vertebra with metastatic cancer. The Spine Cancer Assessment (SCA) program is built on a platform designed for clinical practice, with a workflow format that allows for rapid selection of patient CT exams, followed by guided image analysis tasks, resulting in a fracture risk report. The analysis features allow the surgeon to quickly isolate a single vertebra and obtain an immediate pre-surgical multiple parallel section composite beam fracture risk analysis based on algorithms developed at Mayo Clinic. The analysis software is undergoing clinical validation studies. We expect this approach will facilitate patient management and utilization of reliable guidelines for selecting among various treatment option based on fracture risk.

  10. Intelligent information extraction to aid science decision making in autonomous space exploration

    NASA Astrophysics Data System (ADS)

    Merényi, Erzsébet; Tasdemir, Kadim; Farrand, William H.

    2008-04-01

    Effective scientific exploration of remote targets such as solar system objects increasingly calls for autonomous data analysis and decision making on-board. Today, robots in space missions are programmed to traverse from one location to another without regard to what they might be passing by. By not processing data as they travel, they can miss important discoveries, or will need to travel back if scientists on Earth find the data warrant backtracking. This is a suboptimal use of resources even on relatively close targets such as the Moon or Mars. The farther mankind ventures into space, the longer the delay in communication, due to which interesting findings from data sent back to Earth are made too late to command a (roving, floating, or orbiting) robot to further examine a given location. However, autonomous commanding of robots in scientific exploration can only be as reliable as the scientific information extracted from the data that is collected and provided for decision making. In this paper, we focus on the discovery scenario, where information extraction is accomplished with unsupervised clustering. For high-dimensional data with complicated structure, detailed segmentation that identifies all significant groups and discovers the small, surprising anomalies in the data, is a challenging task at which conventional algorithms often fail. We approach the problem with precision manifold learning using self-organizing neural maps with non-standard features developed in the course of our research. We demonstrate the effectiveness and robustness of this approach on multi-spectral imagery from the Mars Exploration Rovers Pancam, and on synthetic hyperspectral imagery.

  11. Clinical decision making in seizures and status epilepticus.

    PubMed

    Teran, Felipe; Harper-Kirksey, Katrina; Jagoda, Andy

    2015-01-01

    Seizures and status epilepticus are frequent neurologic emergencies in the emergency department, accounting for 1% of all emergency department visits. The management of this time-sensitive and potentially life-threatening condition is challenging for both prehospital providers and emergency clinicians. The approach to seizing patients begins with differentiating seizure activity from mimics and follows with identifying potential secondary etiologies, such as alcohol-related seizures. The approach to the patient in status epilepticus and the patient with nonconvulsive status epilepticus constitutes a special clinical challenge. This review summarizes the best available evidence and recommendations regarding diagnosis and resuscitation of the seizing patient in the emergency setting. PMID:25902572

  12. Framework for securing personal health data in clinical decision support systems.

    PubMed

    Sandell, Protik

    2007-01-01

    If appropriate security mechanisms aren't in place, individuals and groups can get unauthorized access to personal health data residing in clinical decision support systems (CDSS). These concerns are well founded; there has been a dramatic increase in reports of security incidents. The paper provides a framework for securing personal health data in CDSS. The framework breaks down CDSS into data gathering, data management and data delivery functions. It then provides the vulnerabilities that can occur in clinical decision support activities and the measures that need to be taken to protect the data. The framework is applied to protect the confidentiality, integrity and availability of personal health data in a decision support system. Using the framework, project managers and architects can assess the potential risk of unauthorized data access in their decision support system. Moreover they can design systems and procedures to effectively secure personal health data. PMID:17583166

  13. A study of the use of past experiences in clinical decision making in emergency situations.

    PubMed

    Cioffi, J

    2001-10-01

    Making decisions to call emergency assistance to patients is an important dimension of nursing practice. Most usually these decision making situations are uncertain and it is expected nurses rely on past clinical experiences. This study, approved by the ethics committees of both a university and an area health service, aimed to describe nurses' reliance on past experiences and identify associated judgement strategies (heuristics). Thirty-two registered nurses with five or more years experience were interviewed. Main findings were: nurses did use their past experiences and these experiences were used in the form of the three "classic" heuristics, representativeness, availability and anchoring and adjustment. It can be concluded past experiences are intrinsic to decision making and this has implications for both the clinical components of nursing educational programs and staffing allocations made by administrators. Some nurses, however, did not include referral to past experiences in their decision-making accounts which may be a limitation of the study design. PMID:11524105

  14. Integrated risk assessment and feedback reporting for clinical decision making in a Medicare Risk plan.

    PubMed

    Schraeder, C; Britt, T; Shelton, P

    2000-10-01

    The challenge of tapping into the rich resource of population-based, aggregated data to inform and guide clinical processes remains one of the largely unrealized potentials of managed care. This article describes a multifaceted approach of using health-related data to support providers in clinical decision making as an adjunct to case management and primary care delivery. The goal is to provide data that can be used for clinical decision making that is population based, yet individualized for specific patient care situations. Information reporting holds great potential in the clinical care of patients because it can be used to identify persons who could benefit from early detection, intervention, or treatment. It has been suggested that one of the keys to success in managed Medicare is the timely use of information that is detailed, comprehensive, and real-time describing key parameters of clinical encounters. PMID:11067092

  15. Quality Assessment for Therapeutic Drug Monitoring in AIDS Clinical Trials Group (ACTG 5146): A Multicenter Clinical Trial

    PubMed Central

    DiFrancesco, Robin; Rosenkranz, Susan; Mukherjee, A. Lisa; Demeter, Lisa M.; Jiang, Hongyu; DiCenzo, Robert; Dykes, Carrie; Rinehart, Alex; Albrecht, Mary; Morse, Gene D.

    2010-01-01

    In a randomized trial, AIDS Clinical Trials Group (ACTG) protocol 5146 (A5146) investigated the use of TDM to adjust doses of HIV-1 protease inhibitors (PIs) in patients with prior virologic failure on PI-based therapy who were starting a new PI-based regimen. The overall percentage of “PI trough repeats”, such as rescheduled visits or redrawn PI trough specimens, increased from 2% to 5% to 10% as the process progressed from the clinical sites, the PSL, and the study team, respectively. Cumulatively, this represents a 17% rate of failure to obtain adequate PI trough sample. While targeting a turn-around of ≤ 7 days from sample receipt to a drug concentration report, 12% of the received specimens required a longer period to report concentrations. The implementation of dosing changes in the TDM arm were achieved within ≤7 days for 56% of the dose change events, and within ≤14 days for 77% of dose change events. This quality assurance analysis provides a valuable summary of the specific points in the TDM process that could be improved during a multicenter clinical trial including: [1] shortening the timeline of sample shipment from clinical site to the lab, [2] performing the collection of PI trough specimen within the targeted sampling window by careful monitoring of the last dose times and collection times by the clinicians [3] increasing patient adherence counseling to reduce the number of samples that are redrawn due to suspecting inconsistent adherence, and [4] decreasing the time to successful TDM-based dose adjustment. The application of some of these findings may also be relevant to single center studies or clinical TDM programs within a hospital. PMID:20592644

  16. Boosting standard order sets utilization through clinical decision support.

    PubMed

    Li, Haomin; Zhang, Yinsheng; Cheng, Haixia; Lu, Xudong; Duan, Huilong

    2013-01-01

    Well-designed standard order sets have the potential to integrate and coordinate care by communicating best practices through multiple disciplines, levels of care, and services. However, there are several challenges which certainly affected the benefits expected from standard order sets. To boost standard order sets utilization, a problem-oriented knowledge delivery solution was proposed in this study to facilitate access of standard order sets and evaluation of its treatment effect. In this solution, standard order sets were created along with diagnostic rule sets which can trigger a CDS-based reminder to help clinician quickly discovery hidden clinical problems and corresponding standard order sets during ordering. Those rule set also provide indicators for targeted evaluation of standard order sets during treatment. A prototype system was developed based on this solution and will be presented at Medinfo 2013. PMID:23920727

  17. Quantitative ultrasound texture analysis for clinical decision making support

    NASA Astrophysics Data System (ADS)

    Wu, Jie Ying; Beland, Michael; Konrad, Joseph; Tuomi, Adam; Glidden, David; Grand, David; Merck, Derek

    2015-03-01

    We propose a general ultrasound (US) texture-analysis and machine-learning framework for detecting the presence of disease that is suitable for clinical application across clinicians, disease types, devices, and operators. Its stages are image selection, image filtering, ROI selection, feature parameterization, and classification. Each stage is modular and can be replaced with alternate methods. Thus, this framework is adaptable to a wide range of tasks. Our two preliminary clinical targets are hepatic steatosis and adenomyosis diagnosis. For steatosis, we collected US images from 288 patients and their pathology-determined values of steatosis (%) from biopsies. Two radiologists independently reviewed all images and identified the region of interest (ROI) most representative of the hepatic echotexture for each patient. To parameterize the images into comparable quantities, we filter the US images at multiple scales for various texture responses. For each response, we collect a histogram of pixel features within the ROI, and parameterize it as a Gaussian function using its mean, standard deviation, kurtosis, and skew to create a 36-feature vector. Our algorithm uses a support vector machine (SVM) for classification. Using a threshold of 10%, we achieved 72.81% overall accuracy, 76.18% sensitivity, and 65.96% specificity in identifying steatosis with leave-ten-out cross-validation (p<0.0001). Extending this framework to adenomyosis, we identified 38 patients with MR-confirmed findings of adenomyosis and previous US studies and 50 controls. A single rater picked the best US-image and ROI for each case. Using the same processing pipeline, we obtained 76.14% accuracy, 86.00% sensitivity, and 63.16% specificity with leave-one-out cross-validation (p<0.0001).

  18. Identifying ultrasound and clinical features of breast cancer molecular subtypes by ensemble decision.

    PubMed

    Zhang, Lei; Li, Jing; Xiao, Yun; Cui, Hao; Du, Guoqing; Wang, Ying; Li, Ziyao; Wu, Tong; Li, Xia; Tian, Jiawei

    2015-01-01

    Breast cancer is molecularly heterogeneous and categorized into four molecular subtypes: Luminal-A, Luminal-B, HER2-amplified and Triple-negative. In this study, we aimed to apply an ensemble decision approach to identify the ultrasound and clinical features related to the molecular subtypes. We collected ultrasound and clinical features from 1,000 breast cancer patients and performed immunohistochemistry on these samples. We used the ensemble decision approach to select unique features and to construct decision models. The decision model for Luminal-A subtype was constructed based on the presence of an echogenic halo and post-acoustic shadowing or indifference. The decision model for Luminal-B subtype was constructed based on the absence of an echogenic halo and vascularity. The decision model for HER2-amplified subtype was constructed based on the presence of post-acoustic enhancement, calcification, vascularity and advanced age. The model for Triple-negative subtype followed two rules. One was based on irregular shape, lobulate margin contour, the absence of calcification and hypovascularity, whereas the other was based on oval shape, hypovascularity and micro-lobulate margin contour. The accuracies of the models were 83.8%, 77.4%, 87.9% and 92.7%, respectively. We identified specific features of each molecular subtype and expanded the scope of ultrasound for making diagnoses using these decision models. PMID:26046791

  19. A service oriented approach for guidelines-based clinical decision support using BPMN.

    PubMed

    Rodriguez-Loya, Salvador; Aziz, Ayesha; Chatwin, Chris

    2014-01-01

    Evidence-based medical practice requires that clinical guidelines need to be documented in such a way that they represent a clinical workflow in its most accessible form. In order to optimize clinical processes to improve clinical outcomes, we propose a Service Oriented Architecture (SOA) based approach for implementing clinical guidelines that can be accessed from an Electronic Health Record (EHR) application with a Web Services enabled communication mechanism with the Enterprise Service Bus. We have used Business Process Modelling Notation (BPMN) for modelling and presenting the clinical pathway in the form of a workflow. The aim of this study is to produce spontaneous alerts in the healthcare workflow in the diagnosis of Chronic Obstructive Pulmonary Disease (COPD). The use of BPMN as a tool to automate clinical guidelines has not been previously employed for providing Clinical Decision Support (CDS). PMID:25160142

  20. Agricultural Management Decision Aids Driven by Real-Time Satellite Data.

    NASA Astrophysics Data System (ADS)

    Diak, George R.; Anderson, Martha C.; Bland, William L.; Norman, John M.; Mecikalski, John M.; Aune, Robert M.

    1998-07-01

    In a NASA-sponsored program entitled Use of Earth and Space Science Data Over the Internet, scientists at the University of Wisconsin-Madison have developed a suite of products for agriculture that are based in satellite and conventional observations, as well as state-of-the-art forecast models of the atmosphere and soil_canopy environments. These products include an irrigation scheduling product based in satellite estimates of daily solar energy, a frost protection product that relies on prediction models and satellite estimates of clouds, and a product for the prediction of foliar disease that is based in satellite net radiation, rainfall measured by NEXRAD, and a detailed model of the soil_canopy environment. During the growing season, the first two products are available in near-real time on the Internet. The last product involving foliar disease depends on a decision support system named WISDOM developed by the University of Wisconsin-Extension, which resides locally on growers' home computers. Growers interface WISDOM with a server to obtain the rainfall, meteorological data, surface radiation inputs, and canopy model output required by WISDOM for the blight models.

  1. Medically important venomous animals: biology, prevention, first aid, and clinical management.

    PubMed

    Junghanss, Thomas; Bodio, Mauro

    2006-11-15

    Venomous animals are a significant health problem for rural populations in many parts of the world. Given the current level of the international mobility of individuals and the inquisitiveness of travelers, clinicians and travel clinics need to be able to give advice on the prevention, first aid, and clinical management of envenoming. Health professionals often feel overwhelmed by the taxonomy of venomous animals; however, venomous animals can be grouped, using a simple set of criteria, into cnidarians, venomous fish, sea snakes, scorpions, spiders, hymenoterans, and venomous terrestrial snakes. Geographic distribution, habitats, and circumstances of accidents further reduce the range of culprits that need to be considered in any single event. Clinical management of envenomed patients relies on supportive therapy and, if available, specific antivenoms. Supplies of life-saving antivenoms are scarce, and this scarcity particularly affects rural populations in resource-poor settings. Travel clinics and hospitals in highly industrialized areas predominantly see patients with injuries caused by accidents involving marine animals: in particular, stings by venomous fish and skin damage caused by jellyfish. However, globally, terrestrial venomous snakes are the most important group of venomous animals. PMID:17051499

  2. Development and evaluation of learning module on clinical decision-making in Prosthodontics

    PubMed Central

    Deshpande, Saee; Lambade, Dipti; Chahande, Jayashree

    2015-01-01

    Purpose: Best practice strategies for helping students learn the reasoning skills of problem solving and critical thinking (CT) remain a source of conjecture, particularly with regard to CT. The dental education literature is fundamentally devoid of research on the cognitive components of clinical decision-making. Aim: This study was aimed to develop and evaluate the impact of blended learning module on clinical decision-making skills of dental graduates for planning prosthodontics rehabilitation. Methodology: An interactive teaching module consisting of didactic lectures on clinical decision-making and a computer-assisted case-based treatment planning software was developed Its impact on cognitive knowledge gain in clinical decision-making was evaluated using an assessment involving problem-based multiple choice questions and paper-based case scenarios. Results: Mean test scores were: Pretest (17 ± 1), posttest 1 (21 ± 2) and posttest 2 (43 ± 3). Comparison of mean scores was done with one-way ANOVA test. There was overall significant difference in between mean scores at all the three points (P < 0.001). A pair-wise comparison of mean scores was done with Bonferroni test. The mean difference is significant at the 0.05 level. The pair-wise comparison shows that posttest 2 score is significantly higher than posttest 1 and posttest 1 is significantly higher than pretest that is, pretest 2 > posttest 1 > pretest. Conclusion: Blended teaching methods employing didactic lectures on the clinical decision-making as well as computer assisted case-based learning can be used to improve quality of clinical decision-making in prosthodontic rehabilitation for dental graduates. PMID:26929504

  3. Integrating decision support, based on the Arden Syntax, in a clinical laboratory environment.

    PubMed Central

    Johansson, B.; Bergqvist, Y.

    1993-01-01

    A clinical decision support system prototype have been developed in the clinical laboratory environment. The knowledge base consists of Medical Logic Modules, written in the Arden Syntax, and the work describes how these modules can be written, evoked and executed in a system, that is integrated with a laboratory information system, and facilitate real time validation of laboratory data. Tools and methods for building a decision support system are described and design aspects, such as database access, system validation and platform independence, are discussed. PMID:8130502

  4. Clinical decision rules for acute bacterial meningitis: current insights

    PubMed Central

    Viallon, Alain; Botelho-Nevers, Elisabeth; Zeni, Fabrice

    2016-01-01

    Acute community-acquired bacterial meningitis (BM) requires rapid diagnosis so that suitable treatment can be instituted within 60 minutes of admitting the patient. The cornerstone of diagnostic examination is lumbar puncture, which enables microbiological analysis and determination of the cerebrospinal fluid (CSF) cytochemical characteristics. However, microbiological testing is not sufficiently sensitive to rule out this diagnosis. With regard to the analysis of standard CSF cytochemical characteristics (polymorphonuclear count, CSF glucose and protein concentration, and CSF:serum glucose), this is often misleading. Indeed, the relatively imprecise nature of the cutoff values for these BM diagnosis markers can make their interpretation difficult. However, there are two markers that appear to be more efficient than the standard ones: CSF lactate and serum procalcitonin levels. Scores and predictive models are also available; however, they only define a clinical probability, and in addition, their use calls for prior validation on the population in which they are used. In this article, we review current methods of BM diagnosis. PMID:27307768

  5. Towards the routine use of brain imaging to aid the clinical diagnosis of disorders of consciousness.

    PubMed

    Coleman, M R; Davis, M H; Rodd, J M; Robson, T; Ali, A; Owen, A M; Pickard, J D

    2009-09-01

    Clinical audits have highlighted the many challenges and dilemmas faced by clinicians assessing persons with disorders of consciousness (vegetative state and minimally conscious state). The diagnostic decision-making process is highly subjective, dependent upon the skills of the examiner and invariably dictated by the patients' ability to move or speak. Whilst a considerable amount has been learnt since Jennett and Plum coined the term 'vegetative state', the assessment process remains largely unchanged; conducted at the bedside, using behavioural assessment tools, which are susceptible to environmental and physiological factors. This has created a situation where the rate of misdiagnosis is unacceptably high (up to 43%). In order to address these problems, various functional brain imaging paradigms, which do not rely upon the patient's ability to move or speak, have been proposed as a source of additional information to inform the diagnostic decision making process. Although accumulated evidence from brain imaging, particularly functional magnetic resonance imaging (fMRI), has been encouraging, the empirical evidence is still based on relatively small numbers of patients. It remains unclear whether brain imaging is capable of informing the diagnosis beyond the behavioural assessment and whether brain imaging has any prognostic utility. In this study, we describe the functional brain imaging findings from a group of 41 patients with disorders of consciousness, who undertook a hierarchical speech processing task. We found, contrary to the clinical impression of a specialist team using behavioural assessment tools, that two patients referred to the study with a diagnosis of vegetative state did in fact demonstrate neural correlates of speech comprehension when assessed using functional brain imaging. These fMRI findings were found to have no association with the patient's behavioural presentation at the time of investigation and thus provided additional diagnostic

  6. Patient understanding of the revised USPSTF screening mammogram guidelines: need for development of patient decision aids

    PubMed Central

    2012-01-01

    Background The purpose of the study was to examine patients’ understanding of the revised screening mammogram guidelines released by the United States Preventive Services Task Force (USPSTF) in 2009 addressing age at initiation and frequency of screening mammography. Methods Patients from the Departments of Family Medicine, Internal Medicine, and Obstetrics and Gynecology (n = 150) at a tertiary care medical center in the United States completed a survey regarding their understanding of the revised USPSTF guidelines following their release, within four to six months of their scheduled mammogram (March 2010 to May 2010). Results Of the patients surveyed, 97/147 (67%) indicated increased confusion regarding the age and frequency of screening mammography, 61/148 (41%) reported increased anxiety about mammograms, and 58/146 (40%) reported anxiety about their own health status following the release of the revised screening guidelines. Most of the patients surveyed, 111/148 (75%), did not expect to change their timing or frequency of screening mammograms in the future. Conclusion Results from this survey suggested increased confusion and possibly an increase in patients’ anxiety related to screening mammography and their own health status following the release of the revised USPSTF screening mammogram guidelines to the public and subsequent media portrayal of the revised guidelines. Although the study did not specifically address causality for these findings, the results highlight the need for improvements in the communication of guidelines to patients and the public. Development of shared decision-making tools and outcomes should be considered to address the communication challenge. PMID:23051022

  7. Clinical results with a hearing aid and a single-channel vibrotactile device for profoundly deaf adults.

    PubMed

    Blamey, P J; Dowell, R C; Brown, A M; Clark, G M

    1985-08-01

    The speech perception of a group of 19 adults with post-lingual profound to total hearing loss was tested with nine closed-set speech tests without lipreading, two open-set tests without lipreading and two open-set speech tests with lipreading. The subjects were all prospective cochlear implant patients participating in a clinical trial of the implant and the results reported here were obtained as part of the pre-operative assessment. They were divided into groups on the basis of their prior experience with the aid(s), their speech detection thresholds with the two aids and their personal preferences. Seven of the subjects used a hand-held single-channel vibrotactile device and the other 12 used a powerful conventional hearing aid. Subjects from each group scored significantly better than chance on the closed set tests without lipreading. Training or regular hearing aid use was correlated with good performance on the closed-set tests. No subject showed a significant improvement of the lipreading score when the aid was used as a supplement. The use of sophisticated wearable tactile devices and extensive training may allow a better result, but in this clinical program, neither a hearing aid nor a single-channel vibrotactile device greatly benefited the postlingually profoundly deaf adults. PMID:4063556

  8. Barriers and Facilitators to Patient-Provider Communication When Discussing Breast Cancer Risk to Aid in the Development of Decision Support Tools.

    PubMed

    Yi, Haeseung; Xiao, Tong; Thomas, Parijatham S; Aguirre, Alejandra N; Smalletz, Cindy; Dimond, Jill; Finkelstein, Joseph; Infante, Katherine; Trivedi, Meghna; David, Raven; Vargas, Jennifer; Crew, Katherine D; Kukafka, Rita

    2015-01-01

    The purpose of this study was to identify barriers and facilitators to patient-provider communication when discussing breast cancer risk to aid in the development of decision support tools. Four patient focus groups (N=34) and eight provider focus groups (N=10) took place in Northern Manhattan. A qualitative analysis was conducted using Atlas.ti software. The coding yielded 62.3%-94.5% agreement. The results showed that 1) barriers are time constraints, lack of knowledge, low health literacy, and language barriers, and 2) facilitators are information needs, desire for personalization, and autonomy when communicating risk in patient-provider encounters. These results will inform the development of a patient-centered decision aid (RealRisks) and a provider-facing breast cancer risk navigation (BNAV) tool, which are designed to facilitate patient-provider risk communication and shared decision-making about breast cancer prevention strategies, such as chemoprevention. PMID:26958276

  9. Barriers and Facilitators to Patient-Provider Communication When Discussing Breast Cancer Risk to Aid in the Development of Decision Support Tools

    PubMed Central

    Yi, Haeseung; Xiao, Tong; Thomas, Parijatham S.; Aguirre, Alejandra N.; Smalletz, Cindy; Dimond, Jill; Finkelstein, Joseph; Infante, Katherine; Trivedi, Meghna; David, Raven; Vargas, Jennifer; Crew, Katherine D.; Kukafka, Rita

    2015-01-01

    The purpose of this study was to identify barriers and facilitators to patient-provider communication when discussing breast cancer risk to aid in the development of decision support tools. Four patient focus groups (N=34) and eight provider focus groups (N=10) took place in Northern Manhattan. A qualitative analysis was conducted using Atlas.ti software. The coding yielded 62.3%–94.5% agreement. The results showed that 1) barriers are time constraints, lack of knowledge, low health literacy, and language barriers, and 2) facilitators are information needs, desire for personalization, and autonomy when communicating risk in patient-provider encounters. These results will inform the development of a patient-centered decision aid (RealRisks) and a provider-facing breast cancer risk navigation (BNAV) tool, which are designed to facilitate patient-provider risk communication and shared decision-making about breast cancer prevention strategies, such as chemoprevention. PMID:26958276

  10. Real-Time Monitoring and Evaluation of a Visual-Based Cervical Cancer Screening Program Using a Decision Support Job Aid

    PubMed Central

    Peterson, Curtis W.; Rose, Donny; Mink, Jonah; Levitz, David

    2016-01-01

    In many developing nations, cervical cancer screening is done by visual inspection with acetic acid (VIA). Monitoring and evaluation (M&E) of such screening programs is challenging. An enhanced visual assessment (EVA) system was developed to augment VIA procedures in low-resource settings. The EVA System consists of a mobile colposcope built around a smartphone, and an online image portal for storing and annotating images. A smartphone app is used to control the mobile colposcope, and upload pictures to the image portal. In this paper, a new app feature that documents clinical decisions using an integrated job aid was deployed in a cervical cancer screening camp in Kenya. Six organizations conducting VIA used the EVA System to screen 824 patients over the course of a week, and providers recorded their diagnoses and treatments in the application. Real-time aggregated statistics were broadcast on a public website. Screening organizations were able to assess the number of patients screened, alongside treatment rates, and the patients who tested positive and required treatment in real time, which allowed them to make adjustments as needed. The real-time M&E enabled by “smart” diagnostic medical devices holds promise for broader use in screening programs in low-resource settings. PMID:27196932

  11. Real-Time Monitoring and Evaluation of a Visual-Based Cervical Cancer Screening Program Using a Decision Support Job Aid.

    PubMed

    Peterson, Curtis W; Rose, Donny; Mink, Jonah; Levitz, David

    2016-01-01

    In many developing nations, cervical cancer screening is done by visual inspection with acetic acid (VIA). Monitoring and evaluation (M&E) of such screening programs is challenging. An enhanced visual assessment (EVA) system was developed to augment VIA procedures in low-resource settings. The EVA System consists of a mobile colposcope built around a smartphone, and an online image portal for storing and annotating images. A smartphone app is used to control the mobile colposcope, and upload pictures to the image portal. In this paper, a new app feature that documents clinical decisions using an integrated job aid was deployed in a cervical cancer screening camp in Kenya. Six organizations conducting VIA used the EVA System to screen 824 patients over the course of a week, and providers recorded their diagnoses and treatments in the application. Real-time aggregated statistics were broadcast on a public website. Screening organizations were able to assess the number of patients screened, alongside treatment rates, and the patients who tested positive and required treatment in real time, which allowed them to make adjustments as needed. The real-time M&E enabled by "smart" diagnostic medical devices holds promise for broader use in screening programs in low-resource settings. PMID:27196932

  12. Effects of Computer-Aided Manufacturing Technology on Precision of Clinical Metal-Free Restorations

    PubMed Central

    Lee, Ki-Hong; Yeo, In-Sung; Wu, Benjamin M.; Yang, Jae-Ho; Han, Jung-Suk; Kim, Sung-Hun; Yi, Yang-Jin; Kwon, Taek-Ka

    2015-01-01

    Purpose. The purpose of this study was to investigate the marginal fit of metal-free crowns made by three different computer-aided design/computer-aided manufacturing (CAD/CAM) systems. Materials and Methods. The maxillary left first premolar of a dentiform was prepared for all-ceramic crown restoration. Thirty all-ceramic premolar crowns were made, ten each manufactured by the Lava system, Cercon, and Cerec. Ten metal ceramic gold (MCG) crowns served as control. The marginal gap of each sample was measured under a stereoscopic microscope at 75x magnification after cementation. One-way ANOVA and the Duncan's post hoc test were used for data analysis at the significance level of 0.05. Results. The mean (standard deviation) marginal gaps were 70.5 (34.4) μm for the MCG crowns, 87.2 (22.8) μm for Lava, 58.5 (17.6) μm for Cercon, and 72.3 (30.8) μm for Cerec. There were no significant differences in the marginal fit among the groups except that the Cercon crowns had significantly smaller marginal gaps than the Lava crowns (P < 0.001).  Conclusions. Within the limitation of this study, all the metal-free restorations made by the digital CAD/CAM systems had clinically acceptable marginal accuracy. PMID:26557681

  13. Cryptosporidiosis in HIV/AIDS Patients in Kenya: Clinical Features, Epidemiology, Molecular Characterization and Antibody Responses

    PubMed Central

    Wanyiri, Jane W.; Kanyi, Henry; Maina, Samuel; Wang, David E.; Steen, Aaron; Ngugi, Paul; Kamau, Timothy; Waithera, Tabitha; O'Connor, Roberta; Gachuhi, Kimani; Wamae, Claire N.; Mwamburi, Mkaya; Ward, Honorine D.

    2014-01-01

    We investigated the epidemiological and clinical features of cryptosporidiosis, the molecular characteristics of infecting species and serum antibody responses to three Cryptosporidium-specific antigens in human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) patients in Kenya. Cryptosporidium was the most prevalent enteric pathogen and was identified in 56 of 164 (34%) of HIV/AIDS patients, including 25 of 70 (36%) with diarrhea and 31 of 94 (33%) without diarrhea. Diarrhea in patients exclusively infected with Cryptosporidium was significantly associated with the number of children per household, contact with animals, and water treatment. Cryptosporidium hominis was the most prevalent species and the most prevalent subtype family was Ib. Patients without diarrhea had significantly higher serum IgG levels to Chgp15, Chgp40 and Cp23, and higher fecal IgA levels to Chgp15 and Chgp40 than those with diarrhea suggesting that antibody responses to these antigens may be associated with protection from diarrhea and supporting further investigation of these antigens as vaccine candidates. PMID:24865675

  14. Clinical and Microbiological Profile of HIV/AIDS Cases with Diarrhea in North India

    PubMed Central

    Jha, Arun Kumar; Uppal, Beena; Chadha, Sanjim; Bhalla, Preena; Ghosh, Roumi; Aggarwal, Prabhav; Dewan, Richa

    2012-01-01

    Intestinal infections are a significant cause of morbidity and mortality in people living with HIV/AIDS (PLWHA) especially in developing countries. The present study was conducted to assess the clinical and microbiological spectrum in HIV/AIDS cases with diarrhea and to correlate the occurrence of such pathogens with stool characters, HIV seropositivity status, and CD4 counts. Stools from 154 HIV seropositive subjects and 50 HIV negative controls were examined by direct microscopy, fecal cultures, and serological tests (Clostridium difficile Toxin A, Cryptosporidium antigen, and Entamoeba histolytica antigen ELISA). CD4 T cell enumeration was done using FACS count (Becton Dickinson). The study showed a male preponderance (112 males and 42 females). Weakness, abdominal pain, and anorexia were the most common symptoms. Coccidian parasites were the most common cause of diarrhea in HIV seropositive cases. C. parvum was seen in 60.42% while Isospora belli in 9.03%. Amongst the bacterial pathogens C. difficile was detected in 18.06%, diarrheagenic Escherichia coli in 11.11%, and Shigella spp. in 2.78%. Pathogen isolation rates were more in HIV seropositive cases and subjects with low CD4 T lymphocyte counts. Regular monitoring of CD4 T lymphocyte counts and screening for enteric pathogens will help improve the quality of life for PLWHA. PMID:23326669

  15. Current clinical issues impacting the lives of patients living with HIV/AIDS.

    PubMed

    Gallagher, Donna M

    2007-01-01

    By significantly delaying the onset of AIDS, highly active antiretroviral therapy (HAART) decreases the high rates of mortality and morbidity previously associated with HIV type 1 infection. However, to gain the therapeutic benefits of HAART, patients must commit to lifelong therapy, which carries an increased risk of multiple metabolic comorbidities, including dyslipidemia and hyperglycemia. Hyperlipidemia associated with HAART can be accompanied by abnormal accumulation of adipose tissue in the abdominal and dorsocervical regions, collectively known as lipodystrophy. Additionally, hyperglycemia associated with HAART causes development of type 2 diabetes mellitus. Moreover, patients experiencing adverse metabolic effects associated with HAART have an increased risk for developing cardiovascular disease. Currently, metabolic comorbidities in patients infected with HIV are managed by interventional pharmacotherapy. However, because HAART regimens already have such high pill burdens, treatment of comorbidities with additional drugs may lead to nonadherence. This article will review the differential metabolic effects of various HAART regimens and the clinical implications for patients living with HIV/AIDS. PMID:17275717

  16. AIDS Clinical Trials Group Longitudinal Linked Randomized Trials (ALLRT): Rationale, Design, and Baseline Characteristics

    PubMed Central

    Smurzynski, Marlene; Collier, Ann C.; Koletar, Susan L.; Bosch, Ronald J.; Wu, Kunling; Bastow, Barbara; Benson, Constance A.

    2009-01-01

    Purpose ALLRT is a longitudinal cohort study of HIV-infected subjects prospectively randomized into selected clinical trials for antiretroviral (ARV) treatment-naïve and ARV treatment-experienced individuals conducted by the AIDS Clinical Trials Group (ACTG). We describe the rationale, design, and baseline characteristics of the ALLRT cohort and its potential to address important research questions related to ARV therapy. Method Standardized visits occur every 16 weeks to evaluate long-term clinical, virologic, and immunologic outcomes associated with ARV treatment. Results A total of 4,371 subjects enrolled in ALLRT from January 2000 through June 2007. Of these, 3,146 (72%) were ARV naïve at parent study entry (18% female, 44% white, 32% black, 21% Hispanic; median age 37 years, CD4 count 218 cells/μL, follow-up 3.6 years; 343 [11%] followed ≥8 years) and 1,225 (28%) were treatment experienced (13% female, 59% white, 20% black, 17% Hispanic; median age 42 years, CD4 count 325 cells/μL, follow-up 5.7 years). Conclusions ALLRT provides the opportunity to understand long-term ramifications of therapeutic ARV choices and determine whether these vary by treatment regimen, timing of treatment initiation, or treatment changes over long-term follow-up. Investigations based on uniform data and specimen collection in the context of randomized ARV treatments will be critical to developing more successful long-term therapeutic strategies for HIV treatment. PMID:18753121

  17. Quality of life, clinical characteristics and treatment adherence of people living with HIV/AIDS1

    PubMed Central

    Silva, Ana Cristina de Oliveira e; Reis, Renata Karina; Nogueira, Jordana Almeida; Gir, Elucir

    2014-01-01

    OBJECTIVES: to assess the quality of life of people living with HIV/AIDS and verify its association with clinical characteristics and treatment adherence. METHOD: cross-sectional study conducted in a hospital in the state of Paraíba, Brazil. A questionnaire was used to collect socio-demographic and clinical data. The quality of life scale proposed by the World Health Organization and a questionnaire to measure treatment adherence were used. RESULTS: of the 314 interviewees, 190 (60.5%) were male, aged 43 years on average, 121 (38.5%) had attended up to five years of schooling, 108 (34.4%) received up to two times the minimum wage, and 112 (35.7%) were on sick leave. In regard to clinical variables, individuals with an undetectable viral load scored higher in all the domains concerning quality of life, with statistically significant differences in three domains. Regarding treatment adherence, 235 (73.8%) presented poor adherence and those who strictly adhered to treatment obtained better scores in quality of life. The results show that quality of life is better among individuals adherent to ART. Supporting people to adhere to the antiretroviral treatment should be a persistent task of healthcare workers and other people participating in the treatment, such as family members and friends. PMID:25591095

  18. Telemonitoring in heart failure patients with clinical decision support to optimize medication doses based on guidelines.

    PubMed

    Kropf, Martin; Modre-Osprian, Robert; Hayn, Dieter; Fruhwald, Friedrich; Schreier, Günter

    2014-01-01

    The European Society of Cardiology guidelines for heart failure management are based on strong evidence that adherence to optimal medication is beneficial for heart failure patients. Telemonitoring with integrated clinical decision support enables physicians to adapt medication dose based on up to date vital parameters and reduces the number of hospital visits needed solely for up-titration of heart failure medication. Although keeping track of weight and blood pressure changes is recommended during unstable phases, e.g. post-discharge and during up-titration of medication, guidelines are rather vague regarding telehealth aspects. In this paper, we focus on the evaluation of a clinical decision support system for adaption of heart failure medication and for detecting early deteriorations through monitoring of blood pressure, heart rate and weight changes. This clinical decision support system is currently used in INTENSE-HF, a large scale telemonitoring trial with heart failure patients. The aim of this paper was to apply the decision support algorithm to an existing telemonitoring dataset, to assess the ability of the decision support concept to adhere to the guidelines and to discuss its limitations and potential improvements. PMID:25570663

  19. The interaction of patient race, provider bias, and clinical ambiguity on pain management decisions

    PubMed Central

    Hirsh, Adam T.; Hollingshead, Nicole A.; Ashburn-Nardo, Leslie; Kroenke, Kurt

    2015-01-01

    Although racial disparities in pain care are widely reported, much remains to be known about the role of provider and contextual factors. We used computer-simulated patients to examine the influence of patient race, provider racial bias, and clinical ambiguity on pain decisions. One hundred twenty nine medical residents/fellows made assessment (pain intensity) and treatment (opioid and non-opioid analgesics) decisions for 12 virtual patients with acute pain. Race (Black/White) and clinical ambiguity (high/low) were manipulated across vignettes. Participants completed the Implicit Association Test and feeling thermometers, which assess implicit and explicit racial biases, respectively. Individual- and group-level analyses indicated that race and ambiguity had an interactive effect on providers’ decisions, such that decisions varied as a function of ambiguity for White but not Black patients. Individual differences across providers were observed for the effect of race and ambiguity on decisions; however providers’ implicit and explicit biases did not account for this variability. These data highlight the complexity of racial disparities and suggest that differences in care between White and Black patients are, in part, attributable to the nature (i.e., ambiguity) of the clinical scenario. The current study suggests that interventions to reduce disparities should differentially target patient, provider, and contextual factors. PMID:25828370

  20. A needs analysis for computer-based telephone triage in a community AIDS clinic.

    PubMed Central

    Henry, S. B.; Schreiner, J. G.; Borchelt, D.; Musen, M. A.

    1992-01-01

    This study describes the complexity of the telephone-triage task in a community-based AIDS clinic. We identify deficiencies related to the data management for and documentation of the telephone-triage encounter, including inaccessibility of the medical record and failure to document required data elements. Our needs analysis suggests five design criteria for a computer-based system that assists nurses with the telephone-triage task: (1) online accessibility of the medical record, (2) ability to move among modules of the medical record and the triage-encounter module, (3) ease of data entry, (4) compliance with standards for documentation, and (5) notification of the primary-care physician in an appropriate and timely manner. PMID:1482941

  1. [Nursing consultation in an HIV/AIDS outpatient clinic: patients' perception].

    PubMed

    de Macêdo, Simara Moreira; Sena, Márcia Cristina dos Santos; Miranda, Karla Corrêa Lima

    2012-09-01

    The study aims to understand the patients' perception regarding the nursing consultation at an outpatient clinic for Human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) in the city of Fortaleza-CE (State of Ceará). This is an exploratory and descriptive qualitative approach. Data was collected through semi-structured interviews with fifteen patients of this institution and analyzed with the support of content analysis. The nursing consultation was reported by patients as a learning moment, focused onproviding information. The trust and emotional support provided by the professional act as a support to the conflicts experienced by the patients, allowing the construction of a new perspective of the disease. We believe that the implementation of the nursing consultation in a dialogic perspective can provide a new meaning to the conflicts surrounding the patients' illness. PMID:23405808

  2. Mobile clinical decision support systems and applications: a literature and commercial review.

    PubMed

    Martínez-Pérez, Borja; de la Torre-Díez, Isabel; López-Coronado, Miguel; Sainz-de-Abajo, Beatriz; Robles, Montserrat; García-Gómez, Juan Miguel

    2014-01-01

    The latest advances in eHealth and mHealth have propitiated the rapidly creation and expansion of mobile applications for health care. One of these types of applications are the clinical decision support systems, which nowadays are being implemented in mobile apps to facilitate the access to health care professionals in their daily clinical decisions. The aim of this paper is twofold. Firstly, to make a review of the current systems available in the literature and in commercial stores. Secondly, to analyze a sample of applications in order to obtain some conclusions and recommendations. Two reviews have been done: a literature review on Scopus, IEEE Xplore, Web of Knowledge and PubMed and a commercial review on Google play and the App Store. Five applications from each review have been selected to develop an in-depth analysis and to obtain more information about the mobile clinical decision support systems. Ninety-two relevant papers and 192 commercial apps were found. Forty-four papers were focused only on mobile clinical decision support systems. One hundred seventy-one apps were available on Google play and 21 on the App Store. The apps are designed for general medicine and 37 different specialties, with some features common in all of them despite of the different medical fields objective. The number of mobile clinical decision support applications and their inclusion in clinical practices has risen in the last years. However, developers must be careful with their interface or the easiness of use, which can impoverish the experience of the users. PMID:24399281

  3. Dementia Prevention: optimizing the use of observational data for personal, clinical, and public health decision-making

    PubMed Central

    Dacks, Penny A; Andrieu, Sandrine; Blacker, Deborah; Carman, Aaron J; Green, Allan M; Grodstein, Francine; Henderson, Victor W; James, Bryan D.; Lane, Rachel F; Lau, Joseph; Lin, Pei-Jung; Reeves, Barnaby C.; Shah, Raj C.; Vellas, Bruno; Yaffe, Kristine; Yurko-Mauro, Karin; Shineman, Diana W; Bennett, David A; Fillit, Howard M

    2015-01-01

    Worldwide, over 35 million people suffer from Alzheimer’s disease and related dementias. This number is expected to triple over the next 40 years. How can we improve the evidence supporting strategies to reduce the rate of dementia in future generations? The risk of dementia is likely influenced by modifiable factors such as exercise, cognitive activity, and the clinical management of diabetes and hypertension. However, the quality of evidence is limited and it remains unclear whether specific interventions to reduce these modifiable risk factors can, in turn, reduce the risk of dementia. Although randomized controlled trials are the gold-standard for causality, the majority of evidence for long-term dementia prevention derives from, and will likely continue to derive from, observational studies. Although observational research has some unavoidable limitations, its utility for dementia prevention might be improved by, for example, better distinction between confirmatory and exploratory research, higher reporting standards, investment in effectiveness research enabled by increased data-pooling, and standardized exposure and outcome measures. Informed decision-making by the general public on low-risk health choices that could have broad potential benefits could be enabled by internet-based tools and decision-aids to communicate the evidence, its quality, and the estimated magnitude of effect. PMID:26146610

  4. Distribution and Clinical Manifestations of Cryptosporidium Species and Subtypes in HIV/AIDS Patients in Ethiopia

    PubMed Central

    Adamu, Haileeyesus; Petros, Beyene; Zhang, Guoqing; Kassa, Hailu; Amer, Said; Ye, Jianbin; Feng, Yaoyu; Xiao, Lihua

    2014-01-01

    Background Cryptosporidiosis is an important cause for chronic diarrhea and death in HIV/AIDS patients. Among common Cryptosporidium species in humans, C. parvum is responsible for most zoonotic infections in industrialized nations. Nevertheless, the clinical significance of C. parvum and role of zoonotic transmission in cryptosporidiosis epidemiology in developing countries remain unclear. Methodology/Principal Findings In this cross-sectional study, 520 HIV/AIDS patients were examined for Cryptosporidium presence in stool samples using genotyping and subtyping techniques. Altogether, 140 (26.9%) patients were positive for Cryptosporidium spp. by PCR-RFLP analysis of the small subunit rRNA gene, belonging to C. parvum (92 patients), C. hominis (25 patients), C. viatorum (10 patients), C. felis (5 patients), C. meleagridis (3 patients), C. canis (2 patients), C. xiaoi (2 patients), and mixture of C. parvum and C. hominis (1 patient). Sequence analyses of the 60 kDa glycoprotein gene revealed a high genetic diversity within the 82 C. parvum and 19 C. hominis specimens subtyped, including C. parvum zoonotic subtype families IIa (71) and IId (5) and anthroponotic subtype families IIc (2), IIb (1), IIe (1) and If-like (2), and C. hominis subtype families Id (13), Ie (5), and Ib (1). Overall, Cryptosporidium infection was associated with the occurrence of diarrhea and vomiting. Diarrhea was attributable mostly to C. parvum subtype family IIa and C. hominis, whereas vomiting was largely attributable to C. hominis and rare Cryptosporidium species. Calf contact was identified as a significant risk factor for infection with Cryptosporidium spp., especially C. parvum subtype family IIa. Conclusions/Significance Results of the study indicate that C. parvum is a major cause of cryptosporidiosis in HIV-positive patients and zoonotic transmission is important in cryptosporidiosis epidemiology in Ethiopia. In addition, they confirm that different Cryptosporidium species and

  5. Evaluating a Clinical Decision Support Interface for End-of-Life Nurse Care

    PubMed Central

    Febretti, Alessandro; Stifter, Janet; Keenan, Gail M; Lopez, Karen D; Johnson, Andrew; Wilkie, Diana J

    2016-01-01

    Clinical Decision Support Systems (CDSS) are tools that assist healthcare personnel in the decision-making process for patient care. Although CDSSs have been successfully deployed in the clinical setting to assist physicians, few CDSS have been targeted at professional nurses, the largest group of health providers. We present our experience in designing and testing a CDSS interface embedded within a nurse care planning and documentation tool. We developed four prototypes based on different CDSS feature designs, and tested them in simulated end-of-life patient handoff sessions with a group of 40 nurse clinicians. We show how our prototypes directed nurses towards an optimal care decision that was rarely performed in unassisted practice. We also discuss the effect of CDSS layout and interface navigation in a nurse’s acceptance of suggested actions. These findings provide insights into effective nursing CDSS design that are generalizable to care scenarios different than end-of-life.

  6. Evaluating the Effectiveness of Nurse-Focused Computerized Clinical Decision Support on Urinary Catheter Practice Guidelines

    ERIC Educational Resources Information Center

    Lang, Robin Lynn Neal

    2012-01-01

    A growing national emphasis has been placed on health information technology (HIT) with robust computerized clinical decision support (CCDS) integration into health care delivery. Catheter-associated urinary tract infection is the most frequent health care-associated infection in the United States and is associated with high cost, high volumes and…

  7. Knowledge of risk factors and the periodontal disease-systemic link in dental students' clinical decisions.

    PubMed

    Friesen, Lynn Roosa; Walker, Mary P; Kisling, Rebecca E; Liu, Ying; Williams, Karen B

    2014-09-01

    This study evaluated second-, third-, and fourth-year dental students' ability to identify systemic conditions associated with periodontal disease, risk factors most important for referral, and medications with an effect on the periodontium and their ability to apply this knowledge to make clinical decisions regarding treatment and referral of periodontal patients. A twenty-one question survey was administered at one U.S. dental school in the spring semester of 2012 to elicit the students' knowledge and confidence regarding clinical reasoning. The response rate was 86 percent. Periodontal risk factors were accurately selected by at least 50 percent of students in all three classes; these were poorly controlled diabetes, ≥6 mm pockets posteriorly, and lack of response to previous non-surgical therapy. Confidence in knowledge, knowledge of risk factors, and knowledge of medications with an effect on the periodontium improved with training and were predictive of better referral decision making. The greatest impact of training was seen on the students' ability to make correct decisions about referral and treatment for seven clinical scenarios. Although the study found a large increase in the students' abilities from the second through fourth years, the mean of 4.6 (out of 7) for the fourth-year students shows that, on average, those students missed correct treatment or referral on more than two of seven clinical cases. These results suggest that dental curricula should emphasize more critical decision making with respect to referral and treatment criteria in managing the periodontal patient. PMID:25179920

  8. Improving Emergency Department Triage Classification with Computerized Clinical Decision Support at a Pediatric Hospital

    ERIC Educational Resources Information Center

    Kunisch, Joseph Martin

    2012-01-01

    Background: The Emergency Severity Index (ESI) is an emergency department (ED) triage classification system based on estimated patient-specific resource utilization. Rules for a computerized clinical decision support (CDS) system based on a patient's chief complaint were developed and tested using a stochastic model for predicting ESI scores.…

  9. 78 FR 35937 - Food and Drug Administration Decisions for Investigational Device Exemption Clinical...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2013-06-14

    ... for Investigational Device Exemption (IDE) Clinical Investigations.'' This guidance document was... investigations to evaluate medical devices under FDA's IDE regulations. The guidance was also intended to provide... IDE and to provide a general explanation of the reasons for those decisions. This guidance has...

  10. Students' Stereotypes of Patients as Barriers to Clinical Decision-Making.

    ERIC Educational Resources Information Center

    Johnson, Shirley M.; And Others

    1986-01-01

    At the Michigan State University College of Osteopathic Medicine, a study was designed that graphically illustrated to beginning students that unconscious sociocultural stereotypes may influence clinical decision-making. Students were shown a videotape depicting five simulated patients, each with the same physical complaint. (Author/MLW)

  11. A Mixed Methodological Analysis of the Role of Culture in the Clinical Decision-Making Process

    ERIC Educational Resources Information Center

    Hays, Danica G.; Prosek, Elizabeth A.; McLeod, Amy L.

    2010-01-01

    Even though literature indicates that particular cultural groups receive more severe diagnoses at disproportionate rates, there has been minimal research that addresses how culture interfaces specifically with clinical decision making. This mixed methodological study of 41 counselors indicated that cultural characteristics of both counselors and…

  12. The Contribution of Polysyllabic Words in Clinical Decision Making about Children's Speech

    ERIC Educational Resources Information Center

    James, Deborah G. H.; van Doorn, Jan; McLeod, Sharynne

    2008-01-01

    Poor polysyllabic word (PSW) production seems to mark paediatric speech impairment as well as impairment in language, literacy and phonological processing. As impairment in these domains may only manifest in PSWs, PSW production may provide unique information that is often excluded from clinical decision making because insufficient PSWs are…

  13. The Impact of Reading a Clinical Study on Treatment Decisions of Physicians and Residents.

    ERIC Educational Resources Information Center

    Bergman, David A.; Pantell, Robert H.

    1986-01-01

    A study of the effect of reading a recent clinical study on pediatricians', pediatric residents', and family practitioners' decisions concerning treatment of a common, potentially serious problem revealed a considerable influence but physician difficulty in using probability data and reliance on intuition rather than calculation. (MSE)

  14. Joining forces for food security - Linking earth observation and crowd-sourcing for improved decision-support to aid organizations

    NASA Astrophysics Data System (ADS)

    Enenkel, M.; Dorigo, W.; See, L. M.; Vinck, P.; Pham, P.

    2013-12-01

    Droughts statistically exceed all other natural disasters in spatio-temporal extent, number of people affected or financial loss. Triggered by crop failure, food insecurity is a major manifestation of agricultural drought and water scarcity. However, other socio-economic precursors, such as chronically low levels of disaster preparedness, hampered access to food security or a lack of social safety nets are equally important factors. Consequently, this study is focused on two complementary developments - a new satellite-derived agricultural drought index and a mobile phone application. The Combined Drought Index (CDI) is enhanced by replacing field measurements of temperature and rainfall modelled/assimilated data. The vegetation component is replaced by a smoothed NDVI dataset. A soil moisture component is introduced to close the gap between rainfall deficiencies and the first visible impacts of atmospheric anomalies on vegetation. The mobile phone application enables the validation of drought index outputs and gives aid organizations an opportunity to increase the speed of socio-economic vulnerability assessments. Supported by Doctors without Borders (MSF) this approach aims at decreasing uncertainties in decision-making via a more holistic risk framework.

  15. Summary of the systems prioritization method as a decision-aiding method for the waste isolation pilot plant

    SciTech Connect

    Boak, D.M.; Prindle, N.H.; Lincoln, R.

    1996-12-01

    In March 1994, the U.S. Department of Energy Carlsbad Area Office (DOE/CAO) implemented a performance-based decision-aiding method to assist in programmatic prioritization within the Waste Isolation Pilot Plant (WIPP) Project with respect to applicable U.S. Environmental Protection Agency (EPA) long-term performance requirements in 40 CFR 191.13(a) (radionuclide containment requirements) and 40 CFR 268.6 (hazardous constituent concentration requirements). This method, the Systems Prioritization Method (SPM), was designed by Sandia National Laboratories (SNL) to: (1) identify programmatic options (activities) and their costs and durations; (2) analyze combinations of activities (activity sets) in terms of their predicted contribution to long-term performance of the WIPP disposal system; and (3) analyze cost, duration, and performance tradeoffs. The results of the second iteration of SPM (SPM-2) were the basis for recommendations to DOE/CAO in May 1995 for programmatic prioritization within the WIPP project. This paper presents a summary of the SPM implementation, key results, and lessons learned.

  16. A flexible decision-aided maximum likelihood phase estimation in hybrid QPSK/OOK coherent optical WDM systems

    NASA Astrophysics Data System (ADS)

    Zhang, Yong; Wang, Yulong

    2016-04-01

    Although decision-aided (DA) maximum likelihood (ML) phase estimation (PE) algorithm has been investigated intensively, block length effect impacts system performance and leads to the increasing of hardware complexity. In this paper, a flexible DA-ML algorithm is proposed in hybrid QPSK/OOK coherent optical wavelength division multiplexed (WDM) systems. We present a general cross phase modulation (XPM) model based on Volterra series transfer function (VSTF) method to describe XPM effects induced by OOK channels at the end of dispersion management (DM) fiber links. Based on our model, the weighted factors obtained from maximum likelihood method are introduced to eliminate the block length effect. We derive the analytical expression of phase error variance for the performance prediction of coherent receiver with the flexible DA-ML algorithm. Bit error ratio (BER) performance is evaluated and compared through both theoretical derivation and Monte Carlo (MC) simulation. The results show that our flexible DA-ML algorithm has significant improvement in performance compared with the conventional DA-ML algorithm as block length is a fixed value. Compared with the conventional DA-ML with optimum block length, our flexible DA-ML can obtain better system performance. It means our flexible DA-ML algorithm is more effective for mitigating phase noise than conventional DA-ML algorithm.

  17. Condensed summary of the systems prioritization method as a decision-aiding approach for the Waste Isolation Pilot Plant

    SciTech Connect

    Boak, D.M.; Prindle, N.H.; Lincoln, R.

    1997-03-01

    In March 1994, the US Department of Energy Carlsbad Area Office (DOE/CAO) implemented a performance based decision-aiding method to assist in programmatic prioritization within the Waste Isolation Pilot Plant (WIPP) project. The prioritization was with respect to 40 CFR Part 191.13(a) and 40 CFR part 268.6. U.S. Environmental Protection Agency (EPA) requirements for long-term isolation of radioactive and hazardous wastes. The Systems Prioritization Method (SPM), was designed by Sandia National Laboratories to: (1) identify programmatic options (activities), their costs and durations; (2) analyze combinations of activities in terms of their predicted contribution to long-term performance of the WIPP disposal system; and (3) analyze cost, duration, and performance tradeoffs. SPM results were the basis for activities recommended to DOE/CAO in May 1995. SPM identified eight activities (less than 15% of the 58 proposed for consideration) predicted to be essential in addressing key regulatory issues. The SPM method proved useful for risk or performance-based prioritization in which options are interdependent and system behavior is nonlinear. 10 refs., 2 figs., 1 tab.

  18. Decision-aided maximum likelihood phase estimation with optimum block length in hybrid QPSK/16QAM coherent optical WDM systems

    NASA Astrophysics Data System (ADS)

    Zhang, Yong; Wang, Yulong

    2016-01-01

    We propose a general model to entirely describe XPM effects induced by 16QAM channels in hybrid QPSK/16QAM wavelength division multiplexed (WDM) systems. A power spectral density (PSD) formula is presented to predict the statistical properties of XPM effects at the end of dispersion management (DM) fiber links. We derive the analytical expression of phase error variance for optimizing block length of QPSK channel coherent receiver with decision-aided (DA) maximum-likelihood (ML) phase estimation (PE). With our theoretical analysis, the optimum block length can be employed to improve the performance of coherent receiver. Bit error rate (BER) performance in QPSK channel is evaluated and compared through both theoretical derivation and Monte Carlo simulation. The results show that by using the DA-ML with optimum block length, bit signal-to-noise ratio (SNR) improvement over DA-ML with fixed block length of 10, 20 and 40 at BER of 10-3 is 0.18 dB, 0.46 dB and 0.65 dB, respectively, when in-line residual dispersion is 0 ps/nm.

  19. Sex differences in atazanavir pharmacokinetics and associations with time to clinical events: AIDS Clinical Trials Group Study A5202

    PubMed Central

    Venuto, Charles S.; Mollan, Katie; Ma, Qing; Daar, Eric S.; Sax, Paul E.; Fischl, Margaret; Collier, Ann C.; Smith, Kimberly Y.; Tierney, Camlin; Morse, Gene D.

    2014-01-01

    Objectives It is uncertain whether HIV-1 antiretroviral exposure and clinical response varies between males and females or different race/ethnic groups. We describe ritonavir-enhanced atazanavir pharmacokinetics in relation to virological failure, safety and tolerability in treatment-naive individuals to investigate potential differences. Methods Plasma samples were collected from participants in AIDS Clinical Trials Group Study A5202 for measurement of antiretroviral concentrations. Individual estimates of apparent oral clearance of atazanavir (L/h) were calculated from a one-compartment model and divided into tertiles as slow (<7), middle (7 to <9; reference group) and fast (≥9). Associations between atazanavir clearance and clinical outcomes were estimated with a hazard ratio (HR) from Cox proportional hazards models. Interactions between atazanavir clearance and sex, race/ethnicity and NRTIs were investigated for each of the outcomes. Results Among 786 participants, average atazanavir clearance was slower in females (n = 131) than males (n = 655). Atazanavir clearance was associated with time to virological failure (P = 0.053) and this relationship differed significantly by sex (P = 0.003). Females in the fast atazanavir clearance group had shorter time to virological failure (HR 3.49; 95% CI 1.24–9.84) compared with the middle (reference) atazanavir clearance group. Among males, the slow atazanavir clearance group had a higher risk of virological failure (HR 2.10; 95% CI 1.16–3.77). Conclusions Atazanavir clearance differed by sex. Females with fast clearance and males with slow clearance had increased risk of virological failure. PMID:25159623

  20. The impact of goal-directed transvaginal ultrasonography on clinical decision-making for emergency physicians.

    PubMed

    Sayrac, Neslihan; Bektas, Firat; Soyuncu, Secgin; Sayrac, Vefa

    2015-07-01

    The aim of study was to determine the impact of "goal-directed transvaginal ultrasonography" (TVUSG) on real-time clinical decision making of attending emergency physicians evaluating their level of certainty for preliminary diagnosis, admission, surgery, treatment, additional laboratory, and discharge in patients presenting with acute pelvic pain to the emergency department (ED). This prospective cross-sectional clinical study was conducted on sexually active female patients older than 18 years who presented with acute pelvic pain in the ED. The level of certainty of clinical decision making as mentioned above was measured by a visual analogue scale from 0 to 100 mm with 100 mm being most certain before and after TVUSG. Statistical analysis was performed on 88 patients. The mean age was 31.7 ±8.3 years with a median of 30 years. Among clinical decisions, there was a significant difference between pre-TVUSG and post-TVUSG certainty of the decision to perform preliminary diagnoses derived from patient's history and physical examination but not in the other outcomes (treatment, admission, surgery, and discharge). (P = .05). Of the patients included in the study, 11 (12.5%) were admitted to hospital, and 2 (2.3%) of them were operated on. The remaining 75 (85.2%) patients were discharged from the ED; of the patients that had been discharged, 18 (20.5%) patients later consulted another physician, and no further pathology could be discovered. In conclusion, US performed by attending emergency physicians may affect the certainty of their decisions in patients presenting with acute pelvic pain. This effect statistically significantly on the decision to determine preliminary diagnosis. PMID:25963680

  1. Patient Access to Online Visit Notes: Perceptions of Doctors and Patients at an Urban HIV/AIDS Clinic.

    PubMed

    Oster, Natalia V; Jackson, Sara L; Dhanireddy, Shireesha; Mejilla, Roanne; Ralston, James D; Leveille, Suzanne; Delbanco, Tom; Walker, Janice D; Bell, Sigall K; Elmore, Joann G

    2015-01-01

    Patients living with HIV/AIDS face large societal and medical challenges. Inviting patients to read their doctors' visit notes via secure electronic portals may empower patients and improve health. We investigated whether utilization and perceptions about access to doctors' notes differed among doctors and patients in an HIV/AIDS clinic versus primary care setting. We analyzed pre- and 1-year postintervention data from 99 doctors and 3819 patients. HIV clinic patients did not report differences in perceived risks and benefits compared to primary care clinic patients, however, they were more likely to share notes with friends (33% versus 9%, P=.002), other health professionals (24% versus 8%, P=.03), or another doctor (38% versus 9%, P<.0001). HIV clinic doctors were less likely than primary care doctors to change the level of candor in visit notes (P<.04). Our findings suggest that HIV clinic patients and doctors are ready to share visit notes online. PMID:24729072

  2. Impact of a printed decision aid on patients’ intention to undergo prostate cancer screening: a multicentre, pragmatic randomised controlled trial in primary care

    PubMed Central

    Tran, Viet-Thi; Kisseleva-Romanova, Elena; Rigal, Laurent; Falcoff, Hector

    2015-01-01

    Background Despite recommendations against systematic screening for prostate cancer, 70% of patients still request prostate-specific antigen testing. Aim To assess the impact of a decision aid on patients’ intention to undergo prostate cancer screening. Design and setting Randomised controlled trial with two-arm parallel groups in 86 general practices in urban and rural areas in France. Method Males aged 50–75 years were randomised to receive either the decision aid (intervention group) or usual care (control group). The primary outcome was the proportion of patients’ intending to undergo prostate cancer screening, assessed immediately after reading the decision aid. The reasons underlying their choice were elicited and the proportion of patients citing each reason to undergo, or not undergo, prostate cancer screening were compared between the two arms. Results A total of 1170 patients were randomised (588 in the intervention arm) from November 2012 to February 2013. The proportion of patients who intended to be tested for prostate cancer in the intervention arm (123 patients [20.9%]) was significantly reduced compared with the control arm (57 patients [9.8%]) (difference 11.1%, 95% confidence interval [CI] = 7.0 to 15.2, P<0.0001). In the intervention group, a lower proportion of individuals expressed that cancer screening would protect them from the disease, compared with the control group (P<0.0001), while a greater proportion of individuals stated that prostate cancer screening would not benefit their health (P<0.0001) and may involve procedures with harmful side effects (P = 0.0005). Conclusion The decision aid improved participants’ informed decision making and reduced their intent to undergo prostate cancer screening. PMID:25918334

  3. Cortical Auditory Evoked Potentials Reveal Changes in Audibility with Nonlinear Frequency Compression in Hearing Aids for Children: Clinical Implications.

    PubMed

    Ching, Teresa Y C; Zhang, Vicky W; Hou, Sanna; Van Buynder, Patricia

    2016-02-01

    Hearing loss in children is detected soon after birth via newborn hearing screening. Procedures for early hearing assessment and hearing aid fitting are well established, but methods for evaluating the effectiveness of amplification for young children are limited. One promising approach to validating hearing aid fittings is to measure cortical auditory evoked potentials (CAEPs). This article provides first a brief overview of reports on the use of CAEPs for evaluation of hearing aids. Second, a study that measured CAEPs to evaluate nonlinear frequency compression (NLFC) in hearing aids for 27 children (between 6.1 and 16.8 years old) who have mild to severe hearing loss is reported. There was no significant difference in aided sensation level or the detection of CAEPs for /g/ between NLFC on and off conditions. The activation of NLFC was associated with a significant increase in aided sensation levels for /t/ and /s/. It also was associated with an increase in detection of CAEPs for /t/ and /s/. The findings support the use of CAEPs for checking audibility provided by hearing aids. Based on the current data, a clinical protocol for using CAEPs to validate audibility with amplification is presented. PMID:27587920

  4. Fuzzy-Arden-Syntax-based, Vendor-agnostic, Scalable Clinical Decision Support and Monitoring Platform.

    PubMed

    Adlassnig, Klaus-Peter; Fehre, Karsten; Rappelsberger, Andrea

    2015-01-01

    This study's objective is to develop and use a scalable genuine technology platform for clinical decision support based on Arden Syntax, which was extended by fuzzy set theory and fuzzy logic. Arden Syntax is a widely recognized formal language for representing clinical and scientific knowledge in an executable format, and is maintained by Health Level Seven (HL7) International and approved by the American National Standards Institute (ANSI). Fuzzy set theory and logic permit the representation of knowledge and automated reasoning under linguistic and propositional uncertainty. These forms of uncertainty are a common feature of patients' medical data, the body of medical knowledge, and deductive clinical reasoning. PMID:26262410

  5. Understanding clinical work practices for cross-boundary decision support in e-health.

    PubMed

    Tawfik, Hissam; Anya, Obinna; Nagar, Atulya K

    2012-07-01

    One of the major concerns of research in integrated healthcare information systems is to enable decision support among clinicians across boundaries of organizations and regional workgroups. A necessary precursor, however, is to facilitate the construction of appropriate awareness of local clinical practices, including a clinician's actual cognitive capabilities, peculiar workplace circumstances, and specific patient-centered needs based on real-world clinical contexts across work settings. In this paper, a user-centered study aimed to investigate clinical practices across three different geographical areas-the U.K., the UAE and Nigeria-is presented. The findings indicate that differences in clinical practices among clinicians are associated with differences in local work contexts across work settings, but are moderated by adherence to best practice guidelines and the need for patient-centered care. The study further reveals that an awareness especially of the ontological, stereotypical, and situated practices plays a crucial role in adapting knowledge for cross-boundary decision support. The paper then outlines a set of design guidelines for the development of enterprise information systems for e-health. Based on the guidelines, the paper proposes the conceptual design of CaDHealth, a practice-centered framework for making sense of clinical practices across work settings for effective cross-boundary e-health decision support. PMID:22345549

  6. [The impact of guidelines, standards and economic restrictions on clinical decision-making processes].

    PubMed

    Linden, Michael

    2004-05-01

    Guidelines aim at improving clinical decision-making. Contrary to textbooks and reviews that want to improve medical knowledge, guidelines try to influence medical behaviour. Scientific models of clinical decision-making such as the action theory and empirical data on the effects of guidelines suggest that guidelines will not always reach their goals but can instead even lead to a deterioration in the quality of medical care. Therefore there is a need for controlled clinical trials to investigate whether guideline-exposed physicians yield better patient outcomes than guideline-naïve physicians. Guidelines should only be regarded as evidence-based if their positive effects have been empirically demonstrated. PMID:15250387

  7. Neighborhood graph and learning discriminative distance functions for clinical decision support.

    PubMed

    Tsymbal, Alexey; Zhou, Shaohua Kevin; Huber, Martin

    2009-01-01

    There are two essential reasons for the slow progress in the acceptance of clinical case retrieval and similarity search-based decision support systems; the especial complexity of clinical data making it difficult to define a meaningful and effective distance function on them and the lack of transparency and explanation ability in many existing clinical case retrieval decision support systems. In this paper, we try to address these two problems by introducing a novel technique for visualizing inter-patient similarity based on a node-link representation with neighborhood graphs and by considering two techniques for learning discriminative distance function that help to combine the power of strong "black box" learners with the transparency of case retrieval and nearest neighbor classification. PMID:19964399

  8. Workshop on using natural language processing applications for enhancing clinical decision making: an executive summary

    PubMed Central

    Pai, Vinay M; Rodgers, Mary; Conroy, Richard; Luo, James; Zhou, Ruixia; Seto, Belinda

    2014-01-01

    In April 2012, the National Institutes of Health organized a two-day workshop entitled ‘Natural Language Processing: State of the Art, Future Directions and Applications for Enhancing Clinical Decision-Making’ (NLP-CDS). This report is a summary of the discussions during the second day of the workshop. Collectively, the workshop presenters and participants emphasized the need for unstructured clinical notes to be included in the decision making workflow and the need for individualized longitudinal data tracking. The workshop also discussed the need to: (1) combine evidence-based literature and patient records with machine-learning and prediction models; (2) provide trusted and reproducible clinical advice; (3) prioritize evidence and test results; and (4) engage healthcare professionals, caregivers, and patients. The overall consensus of the NLP-CDS workshop was that there are promising opportunities for NLP and CDS to deliver cognitive support for healthcare professionals, caregivers, and patients. PMID:23921193

  9. Clinical decision guidelines for NHS cosmetic surgery: analysis of current limitations and recommendations for future development.

    PubMed

    Cook, S A; Rosser, R; Meah, S; James, M I; Salmon, P

    2003-07-01

    Because of increasing demand for publicly funded elective cosmetic surgery, clinical decision guidelines have been developed to select those patients who should receive it. The aims of this study were to identify: the main characteristics of such guidelines; whether and how they influence clinical decision making; and ways in which they should be improved. UK health authorities were asked for their current guidelines for elective cosmetic surgery and, in a single plastic surgery unit, we examined the impact of its guidelines by observing consultations and interviewing surgeons and managers. Of 115 authorities approached, 32 reported using guidelines and provided sufficient information for analysis. Guidelines mostly concerned arbitrary sets of cosmetic procedures and lacked reference to an evidence base. They allowed surgery for specified anatomical, functional or symptomatic reasons, but these indications varied between guidelines. Most guidelines also permitted surgery 'exceptionally' for psychological reasons. The guidelines that were studied in detail did not appreciably influence surgeons' decisions, which reflected criteria that were not cited in the guidelines, including cost of the procedure and whether patients sought restoration or improvement of their appearance. Decision guidelines in this area have several limitations. Future guidelines should: include all cosmetic procedures; be informed by a broad range of evidence; and, arguably, include several nonclinical criteria that currently inform surgeons' decision-making. PMID:12890455

  10. Clinical decision support must be useful, functional is not enough: a qualitative study of computer-based clinical decision support in primary care

    PubMed Central

    2012-01-01

    Background Health information technology, particularly electronic decision support systems, can reduce the existing gap between evidence-based knowledge and health care practice but professionals have to accept and use this information. Evidence is scant on which features influence the use of computer-based clinical decision support (eCDS) in primary care and how different professional groups experience it. Our aim was to describe specific reasons for using or not using eCDS among primary care professionals. Methods The setting was a Finnish primary health care organization with 48 professionals receiving patient-specific guidance at the point of care. Multiple data (focus groups, questionnaire and spontaneous feedback) were analyzed using deductive content analysis and descriptive statistics. Results The content of the guidance is a significant feature of the primary care professional’s intention to use eCDS. The decisive reason for using or not using the eCDS is its perceived usefulness. Functional characteristics such as speed and ease of use are important but alone these are not enough. Specific information technology, professional, patient and environment features can help or hinder the use. Conclusions Primary care professionals have to perceive eCDS guidance useful for their work before they use it. PMID:23039113

  11. [Applications of a simple system of aid to medical decision-making with various patients in internal medicine: SELF].

    PubMed

    Kohler, F; Monchovet, S; Patris, A; Vervin, D; Kagan-Meyer, L; Groussin-Weyland, M; Anthoine, D; Guerci, O; Legras, B

    1988-01-01

    Many medical decision helping systems are very complex and require expensive computers, which restricts their diffusion and limits their use to specialized people. The idea was to find a simplified system that any practitioner--even unaccustomed to microcomputing--would be able to use. Moreover, this system had to work on widely available and inexpensive microcomputers. SELF (system in fuzzy set) is this kind of system. It has been devised as a complete interactive system of medical decision help. It is entirely parameterized, allows any kind of application and works according to such rules as "if there is premise, then there is conclusion", tempered by a coefficient. The bases of knowledge are represented on a correspondence chart where columns materialize the premises (clinical signs, laboratory results, etc.) and horizontal lines all the diagnoses and therapeutic conclusions. The system includes proceedings that create, modify and update basic knowledge. It uses the fuzzy set rules to draw conclusions. SELF was first applied to the prescription of contraceptive methods, but it has now been tested in other specialties, such as gynaecology, pneumology, haematology and so forth. In every case, the reliability of the results obtained depends on the bases chosen by the creator himself. Owing to the general character of the system, one may regard it as being open to any user who would like to create his own applications. PMID:3420333

  12. Comparing and using assessments of the value of information to clinical decision-making.

    PubMed Central

    Urquhart, C J; Hepworth, J B

    1996-01-01

    This paper discusses the Value project, which assessed the value to clinical decision-making of information supplied by National Health Service (NHS) library and information services. The project not only showed how health libraries in the United Kingdom help clinicians in decision-making but also provided quality assurance guidelines for these libraries to help make their information services more effective. The paper reviews methods and results used in previous studies of the value of health libraries, noting that methodological differences appear to affect the results. The paper also discusses aspects of user involvement, categories of clinical decision-making, the value of information to present and future clinical decisions, and the combination of quantitative and qualitative assessments of value, as applied to the Value project and the studies reviewed. The Value project also demonstrated that the value placed on information depends in part on the career stage of the physician. The paper outlines the structure of the quality assurance tool kit, which is based on the findings and methods used in the Value project. PMID:8913550

  13. Consensus Recommendations for Systematic Evaluation of Drug-Drug Interaction Evidence for Clinical Decision Support

    PubMed Central

    Scheife, Richard T.; Hines, Lisa E.; Boyce, Richard D.; Chung, Sophie P.; Momper, Jeremiah; Sommer, Christine D.; Abernethy, Darrell R.; Horn, John; Sklar, Stephen J.; Wong, Samantha K.; Jones, Gretchen; Brown, Mary; Grizzle, Amy J.; Comes, Susan; Wilkins, Tricia Lee; Borst, Clarissa; Wittie, Michael A.; Rich, Alissa; Malone, Daniel C.

    2015-01-01

    Background Healthcare organizations, compendia, and drug knowledgebase vendors use varying methods to evaluate and synthesize evidence on drug-drug interactions (DDIs). This situation has a negative effect on electronic prescribing and medication information systems that warn clinicians of potentially harmful medication combinations. Objective To provide recommendations for systematic evaluation of evidence from the scientific literature, drug product labeling, and regulatory documents with respect to DDIs for clinical decision support. Methods A conference series was conducted to develop a structured process to improve the quality of DDI alerting systems. Three expert workgroups were assembled to address the goals of the conference. The Evidence Workgroup consisted of 15 individuals with expertise in pharmacology, drug information, biomedical informatics, and clinical decision support. Workgroup members met via webinar from January 2013 to February 2014. Two in-person meetings were conducted in May and September 2013 to reach consensus on recommendations. Results We developed expert-consensus answers to three key questions: 1) What is the best approach to evaluate DDI evidence?; 2) What evidence is required for a DDI to be applicable to an entire class of drugs?; and 3) How should a structured evaluation process be vetted and validated? Conclusion Evidence-based decision support for DDIs requires consistent application of transparent and systematic methods to evaluate the evidence. Drug information systems that implement these recommendations should be able to provide higher quality information about DDIs in drug compendia and clinical decision support tools. PMID:25556085

  14. Assessing an Adolescent's Capacity for Autonomous Decision-Making in Clinical Care.

    PubMed

    Michaud, Pierre-André; Blum, Robert Wm; Benaroyo, Lazare; Zermatten, Jean; Baltag, Valentina

    2015-10-01

    The purpose of this article is to provide policy guidance on how to assess the capacity of minor adolescents for autonomous decision-making without a third party authorization, in the field of clinical care. In June 2014, a two-day meeting gathered 20 professionals from all continents, working in the field of adolescent medicine, neurosciences, developmental and clinical psychology, sociology, ethics, and law. Formal presentations and discussions were based on a literature search and the participants' experience. The assessment of adolescent decision-making capacity includes the following: (1) a review of the legal context consistent with the principles of the Convention on the Rights of the Child; (2) an empathetic relationship between the adolescent and the health care professional/team; (3) the respect of the adolescent's developmental stage and capacities; (4) the inclusion, if relevant, of relatives, peers, teachers, or social and mental health providers with the adolescent's consent; (5) the control of coercion and other social forces that influence decision-making; and (6) a deliberative stepwise appraisal of the adolescent's decision-making process. This stepwise approach, already used among adults with psychiatric disorders, includes understanding the different facets of the given situation, reasoning on the involved issues, appreciating the outcomes linked with the decision(s), and expressing a choice. Contextual and psychosocial factors play pivotal roles in the assessment of adolescents' decision-making capacity. The evaluation must be guided by a well-established procedure, and health professionals should be trained accordingly. These proposals are the first to have been developed by a multicultural, multidisciplinary expert panel. PMID:26281798

  15. The influence of providing a clinical practice guideline on dental students' decision making.

    PubMed

    van der Sanden, Wil J M; Mettes, Dirk G; Plasschaert, Alphons J M; Mulder, Jan; Verdonschot, Emiel H

    2004-02-01

    The aim of this study was to assess the effect of the provision of a clinical practice guideline (CPG) on dental students' decisions to remove asymptomatic, impacted lower third molars. All dental students, who in 2001 were in the 3rd, 4th or 5th (final) year of their study at the Nijmegen College of Dental Sciences, were invited to participate. A pre-test-post-test control group design was used. Given 36 patient cases, all dental students were asked to assess the need for removal of asymptomatic, impacted lower third molars. All pre-test respondents were randomly allocated to the control or intervention group. After the provision of a CPG to the intervention group, both groups were asked to assess the same cases again. Frequencies of decisions to remove the third molars were calculated. Chi-square tests and anova were used to test the influence of study year and gender on the drop-out rate and on the effect of the provision of a CPG on students' treatment decisions. The decrease in indications to remove third molars by the intervention group was statistically significant (P < 0.05). In the control group, no significant decrease was observed. It was concluded that the provision of a CPG significantly influences dental students' decision making about treatment in a third-molar decision task. Students who used the CPG showed more guideline-conformed decision making. PMID:14717683

  16. Decision theory and the evaluation of risks and benefits of clinical trials.

    PubMed

    Bernabe, Rosemarie D C; van Thiel, Ghislaine J M W; Raaijmakers, Jan A M; van Delden, Johannes J M

    2012-12-01

    Research ethics committees (RECs) are tasked to assess the risks and the benefits of a clinical trial. In previous studies, it was shown that RECs find this task difficult, if not impossible, to do. The current approaches to benefit-risk assessment (i.e. Component Analysis and the Net Risk Test) confound the various risk-benefit tasks, and as such, make balancing impossible. In this article, we show that decision theory, specifically through the expected utility theory and multiattribute utility theory, enable for an explicit and ethically weighted risk-benefit evaluation. This makes a balanced ethical justification possible, and thus a more rationally defensible decision making. PMID:22819925

  17. Advancing clinical decision support using lessons from outside of healthcare: an interdisciplinary systematic review

    PubMed Central

    2012-01-01

    Background Greater use of computerized decision support (DS) systems could address continuing safety and quality problems in healthcare, but the healthcare field has struggled to implement DS technology. This study surveys DS experience across multiple non-healthcare disciplines for new insights that are generalizable to healthcare provider decisions. In particular, it sought design principles and lessons learned from the other disciplines that could inform efforts to accelerate the adoption of clinical decision support (CDS). Methods Our systematic review drew broadly from non-healthcare databases in the basic sciences, social sciences, humanities, engineering, business, and defense: PsychINFO, BusinessSource Premier, Social Sciences Abstracts, Web of Science, and Defense Technical Information Center. Because our interest was in DS that could apply to clinical decisions, we selected articles that (1) provided a review, overview, discussion of lessons learned, or an evaluation of design or implementation aspects of DS within a non-healthcare discipline and (2) involved an element of human judgment at the individual level, as opposed to decisions that can be fully automated or that are made at the organizational level. Results Clinical decisions share some similarities with decisions made by military commanders, business managers, and other leaders: they involve assessing new situations and choosing courses of action with major consequences, under time pressure, and with incomplete information. We identified seven high-level DS system design features from the non-healthcare literature that could be applied to CDS: providing broad, system-level perspectives; customizing interfaces to specific users and roles; making the DS reasoning transparent; presenting data effectively; generating multiple scenarios covering disparate outcomes (e.g., effective; effective with side effects; ineffective); allowing for contingent adaptations; and facilitating collaboration. The

  18. Patient-oriented Computerized Clinical Guidelines for Mobile Decision Support in Gestational Diabetes

    PubMed Central

    Rigla, Mercedes; Martínez-Sarriegui, Iñaki; Shalom, Erez; Peleg, Mor; Broens, Tom; Pons, Belén; Caballero-Ruíz, Estefanía; Gómez, Enrique J.; Hernando, M. Elena

    2014-01-01

    The risks associated with gestational diabetes (GD) can be reduced with an active treatment able to improve glycemic control. Advances in mobile health can provide new patient-centric models for GD to create personalized health care services, increase patient independence and improve patients’ self-management capabilities, and potentially improve their treatment compliance. In these models, decision-support functions play an essential role. The telemedicine system MobiGuide provides personalized medical decision support for GD patients that is based on computerized clinical guidelines and adapted to a mobile environment. The patient’s access to the system is supported by a smartphone-based application that enhances the efficiency and ease of use of the system. We formalized the GD guideline into a computer-interpretable guideline (CIG). We identified several workflows that provide decision-support functionalities to patients and 4 types of personalized advice to be delivered through a mobile application at home, which is a preliminary step to providing decision-support tools in a telemedicine system: (1) therapy, to help patients to comply with medical prescriptions; (2) monitoring, to help patients to comply with monitoring instructions; (3) clinical assessment, to inform patients about their health conditions; and (4) upcoming events, to deal with patients’ personal context or special events. The whole process to specify patient-oriented decision support functionalities ensures that it is based on the knowledge contained in the GD clinical guideline and thus follows evidence-based recommendations but at the same time is patient-oriented, which could enhance clinical outcomes and patients’ acceptance of the whole system. PMID:24876573

  19. Patient-oriented Computerized Clinical Guidelines for Mobile Decision Support in Gestational Diabetes.

    PubMed

    García-Sáez, Gema; Rigla, Mercedes; Martínez-Sarriegui, Iñaki; Shalom, Erez; Peleg, Mor; Broens, Tom; Pons, Belén; Caballero-Ruíz, Estefanía; Gómez, Enrique J; Hernando, M Elena

    2014-03-01

    The risks associated with gestational diabetes (GD) can be reduced with an active treatment able to improve glycemic control. Advances in mobile health can provide new patient-centric models for GD to create personalized health care services, increase patient independence and improve patients' self-management capabilities, and potentially improve their treatment compliance. In these models, decision-support functions play an essential role. The telemedicine system MobiGuide provides personalized medical decision support for GD patients that is based on computerized clinical guidelines and adapted to a mobile environment. The patient's access to the system is supported by a smartphone-based application that enhances the efficiency and ease of use of the system. We formalized the GD guideline into a computer-interpretable guideline (CIG). We identified several workflows that provide decision-support functionalities to patients and 4 types of personalized advice to be delivered through a mobile application at home, which is a preliminary step to providing decision-support tools in a telemedicine system: (1) therapy, to help patients to comply with medical prescriptions; (2) monitoring, to help patients to comply with monitoring instructions; (3) clinical assessment, to inform patients about their health conditions; and (4) upcoming events, to deal with patients' personal context or special events. The whole process to specify patient-oriented decision support functionalities ensures that it is based on the knowledge contained in the GD clinical guideline and thus follows evidence-based recommendations but at the same time is patient-oriented, which could enhance clinical outcomes and patients' acceptance of the whole system. PMID:24876573

  20. Clinical Decision Support Systems (CDSS) for preventive management of COPD patients

    PubMed Central

    2014-01-01

    Background The use of information and communication technologies to manage chronic diseases allows the application of integrated care pathways, and the optimization and standardization of care processes. Decision support tools can assist in the adherence to best-practice medicine in critical decision points during the execution of a care pathway. Objectives The objectives are to design, develop, and assess a clinical decision support system (CDSS) offering a suite of services for the early detection and assessment of chronic obstructive pulmonary disease (COPD), which can be easily integrated into a healthcare providers' work-flow. Methods The software architecture model for the CDSS, interoperable clinical-knowledge representation, and inference engine were designed and implemented to form a base CDSS framework. The CDSS functionalities were iteratively developed through requirement-adjustment/development/validation cycles using enterprise-grade software-engineering methodologies and technologies. Within each cycle, clinical-knowledge acquisition was performed by a health-informatics engineer and a clinical-expert team. Results A suite of decision-support web services for (i) COPD early detection and diagnosis, (ii) spirometry quality-control support, (iii) patient stratification, was deployed in a secured environment on-line. The CDSS diagnostic performance was assessed using a validation set of 323 cases with 90% specificity, and 96% sensitivity. Web services were integrated in existing health information system platforms. Conclusions Specialized decision support can be offered as a complementary service to existing policies of integrated care for chronic-disease management. The CDSS was able to issue recommendations that have a high degree of accuracy to support COPD case-finding. Integration into healthcare providers' work-flow can be achieved seamlessly through the use of a modular design and service-oriented architecture that connect to existing health

  1. Clinical decision support for whole genome sequence information leveraging a service-oriented architecture: a prototype.

    PubMed

    Welch, Brandon M; Rodriguez-Loya, Salvador; Eilbeck, Karen; Kawamoto, Kensaku

    2014-01-01

    Whole genome sequence (WGS) information could soon be routinely available to clinicians to support the personalized care of their patients. At such time, clinical decision support (CDS) integrated into the clinical workflow will likely be necessary to support genome-guided clinical care. Nevertheless, developing CDS capabilities for WGS information presents many unique challenges that need to be overcome for such approaches to be effective. In this manuscript, we describe the development of a prototype CDS system that is capable of providing genome-guided CDS at the point of care and within the clinical workflow. To demonstrate the functionality of this prototype, we implemented a clinical scenario of a hypothetical patient at high risk for Lynch Syndrome based on his genomic information. We demonstrate that this system can effectively use service-oriented architecture principles and standards-based components to deliver point of care CDS for WGS information in real-time. PMID:25954430

  2. Development of Guidelines Related to Riverside Community College Nursing Student Mandatory Assignment to AIDS Patients in the Clinical Setting.

    ERIC Educational Resources Information Center

    Kross, Carolyn Sue

    The purpose of this study was to develop Associate Degree nursing program guidelines for Riverside Community College (RCC), in California, regarding mandatory nursing student assignment to Acquired Immune Deficiency Syndrome (AIDS) patients, and student refusal of such assignments in a clinical setting. During the 1990 fall semester, RCC's Nursing…

  3. Risks, dangers and competing clinical decisions on venous thromboembolism prophylaxis in hospital care.

    PubMed

    Boiko, Olga; Sheaff, Rod; Child, Susan; Gericke, Christian A

    2014-07-01

    Drawing on wider sociologies of risk, this article examines the complexity of clinical risks and their management, focusing on risk management systems, expert decision-making and safety standards in health care. At the time of this study preventing venous thromboembolism (VTE) among in-patients was one of the top priorities for hospital safety in the English National Health Service (NHS). An analysis of 50 interviews examining hospital professionals' perceptions about VTE risks and prophylaxis illuminates how National Institute for Health and Clinical Excellence (NICE) guidelines influenced clinical decision-making in four hospitals in one NHS region. We examine four themes: the identification of new risks, the institutionalisation and management of risk, the relationship between risk and danger and the tensions between risk management systems and expert decision-making. The implementation of NICE guidelines for VTE prevention extended managerial control over risk management but some irreducible clinical dangers remained that were beyond the scope of the new VTE risk management systems. Linking sociologies of risk with the realities of hospital risk management reveals the capacity of these theories to illuminate both the possibilities and the limits of managerialism in health care. PMID:24635764

  4. The Use of Intuition in Homeopathic Clinical Decision Making: An Interpretative Phenomenological Study

    PubMed Central

    Brien, Sarah; Dibb, Bridget; Burch, Alex

    2011-01-01

    While intuition plays a role in clinical decision making within conventional medicine, little is understood about its use in complementary and alternative medicine (CAM). The aim of this qualitative study was to investigate intuition from the perspective of homeopathic practitioners; its' manifestation, how it was recognized, its origins and when it was used within daily clinical practice. Semi-structured interviews were carried out with clinically experienced non-National Health Service (NHS) UK homeopathic practitioners. Interpretative phenomenological analysis was used to analyze the data. Homeopaths reported many similarities with conventional medical practitioner regarding the nature, perceived origin and manifestation of their intuitions in clinical practice. Intuition was used in two key aspects of the consultation: (i) to enhance the practitioner-patient relationship, these were generally trusted; and (ii) intuitions relating to the prescribing decision. Homeopaths were cautious about these latter intuitions, testing any intuitive thoughts through deductive reasoning before accepting them. Their reluctance is not surprising given the consequences for patient care, but we propose this also reflects homeopaths' sensitivity to the academic and medical mistrust of both homeopathy and intuition. This study is the first to explore the use of intuition in decision making in any form of complementary medicine. The similarities with conventional practitioners may provide confidence in validating intuition as a legitimate part of the decision making process for these specific practitioners. Further work is needed to elucidate if these findings reflect intuitive use in clinical practice of other CAM practitioners in both private and NHS (i.e., time limited) settings. PMID:19773389

  5. EVIDENCE AND CLINICAL DECISIONS: Asking the Right Questions to Obtain Clinically Useful Answers

    PubMed Central

    Proffit, William R.

    2013-01-01

    Orthodontists need to know the effectiveness, efficiency and predictability of treatment approaches and methods, which can be learned only by carefully studying and evaluating treatment outcomes. The best data for outcomes come from randomized clinical trials (RCTs), but retrospective data can provide satisfactory evidence if the subjects were a well-defined patient group, all the patients were accounted for, and the percentages of patients with various possible outcomes are presented along with measures of the central tendency and variation. Meta-analysis of multiple RCTs done in a similar way and systematic reviews of the literature can strengthen clinically-useful evidence, but reviews that are too broadly based are more likely to blur than clarify the information clinicians need. Reviews that are tightly focused on seeking the answer to specific clinical questions and evaluating the quality of the evidence available to answer the question are much more likely to provide clinically useful data. PMID:24198455

  6. Designing a Clinical Framework to Guide Gross Motor Intervention Decisions for Infants and Young Children with Hypotonia

    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…

  7. Multi-site evaluation of a clinical decision support system for radiation therapy

    NASA Astrophysics Data System (ADS)

    Deshpande, Ruchi; DeMarco, John; Kessel, Kerstin; Liu, Brent J.

    2016-03-01

    We have developed an imaging informatics based decision support system that learns from retrospective treatment plans to provide recommendations for healthy tissue sparing to prospective incoming patients. This system incorporates a model of best practices from previous cases, specific to tumor anatomy. Ultimately, our hope is to improve clinical workflow efficiency, patient outcomes and to increase clinician confidence in decision-making. The success of such a system depends greatly on the training dataset, which in this case, is the knowledge base that the data-mining algorithm employs. The size and heterogeneity of the database is essential for good performance. Since most institutions employ standard protocols and practices for treatment planning, the diversity of this database can be greatly increased by including data from different institutions. This work presents the results of incorporating cross-country, multi-institutional data into our decision support system for evaluation and testing.

  8. Clinical Decision Support using a Terminology Server to improve Patient Safety.

    PubMed

    Garcia-Jimenez, Alba; Moreno-Conde, Alberto; Martínez-García, Alicia; Marín-León, Ignacio; Medrano-Ortega, Francisco Javier; Parra-Calderón, Carlos L

    2015-01-01

    Clinical Decision Support Systems (CDSS) are software applications that support clinicians in making healthcare decisions providing relevant information for individual patients about their specific conditions. The lack of integration between CDSS and Electronic Health Record (EHR) has been identified as a significant barrier to CDSS development and adoption. Andalusia Healthcare Public System (AHPS) provides an interoperable health information infrastructure based on a Service Oriented Architecture (SOA) that eases CDSS implementation. This paper details the deployment of a CDSS jointly with the deployment of a Terminology Server (TS) within the AHPS infrastructure. It also explains a case study about the application of decision support to thromboembolism patients and its potential impact on improving patient safety. We will apply the inSPECt tool proposal to evaluate the appropriateness of alerts in this scenario. PMID:25991120

  9. Clinical Effectiveness and Cost-Effectiveness of HIV Pre-Exposure Prophylaxis in Men Who Have Sex with Men: Risk Calculators for Real-World Decision-Making

    PubMed Central

    Chen, Anders; Dowdy, David W.

    2014-01-01

    Background Oral pre-exposure prophylaxis (PrEP) can be clinically effective and cost-effective for HIV prevention in high-risk men who have sex with men (MSM). However, individual patients have different risk profiles, real-world populations vary, and no practical tools exist to guide clinical decisions or public health strategies. We introduce a practical model of HIV acquisition, including both a personalized risk calculator for clinical management and a cost-effectiveness calculator for population-level decisions. Methods We developed a decision-analytic model of PrEP for MSM. The primary clinical effectiveness and cost-effectiveness outcomes were the number needed to treat (NNT) to prevent one HIV infection, and the cost per quality-adjusted life-year (QALY) gained. We characterized patients according to risk factors including PrEP adherence, condom use, sexual frequency, background HIV prevalence and antiretroviral therapy use. Results With standard PrEP adherence and national epidemiologic parameters, the estimated NNT was 64 (95% uncertainty range: 26, 176) at a cost of $160,000 (cost saving, $740,000) per QALY – comparable to other published models. With high (35%) HIV prevalence, the NNT was 35 (21, 57), and cost per QALY was $27,000 (cost saving, $160,000), and with high PrEP adherence, the NNT was 30 (14, 69), and cost per QALY was $3,000 (cost saving, $200,000). In contrast, for monogamous, serodiscordant relationships with partner antiretroviral therapy use, the NNT was 90 (39, 157) and cost per QALY was $280,000 ($14,000, $670,000). Conclusions PrEP results vary widely across individuals and populations. Risk calculators may aid in patient education, clinical decision-making, and cost-effectiveness evaluation. PMID:25285793

  10. THE IMPACT OF RACISM ON CLINICIAN COGNITION, BEHAVIOR, AND CLINICAL DECISION MAKING

    PubMed Central

    van Ryn, Michelle; Burgess, Diana J.; Dovidio, John F.; Phelan, Sean M.; Saha, Somnath; Malat, Jennifer; Griffin, Joan M.; Fu, Steven S.; Perry, Sylvia

    2014-01-01

    Over the past two decades, thousands of studies have demonstrated that Blacks receive lower quality medical care than Whites, independent of disease status, setting, insurance, and other clinically relevant factors. Despite this, there has been little progress towards eradicating these inequities. Almost a decade ago we proposed a conceptual model identifying mechanisms through which clinicians’ behavior, cognition, and decision making might be influenced by implicit racial biases and explicit racial stereotypes, and thereby contribute to racial inequities in care. Empirical evidence has supported many of these hypothesized mechanisms, demonstrating that White medical care clinicians: (1) hold negative implicit racial biases and explicit racial stereotypes, (2) have implicit racial biases that persist independently of and in contrast to their explicit (conscious) racial attitudes, and (3) can be influenced by racial bias in their clinical decision making and behavior during encounters with Black patients. This paper applies evidence from several disciplines to further specify our original model and elaborate on the ways racism can interact with cognitive biases to affect clinicians’ behavior and decisions and in turn, patient behavior and decisions. We then highlight avenues for intervention and make specific recommendations to medical care and grant-making organizations. PMID:24761152

  11. Decision making and senior management: the implementation of change projects covering clinical management in SUS hospitals.

    PubMed

    Pacheco, José Márcio da Cunha; Gomes, Romeu

    2016-08-01

    This paper analyses the decision making process for senior management in public hospitals that are a part of the National Health Service in Brazil (hereafter SUS) in relation to projects aimed at changing clinical management. The methodological design of this study is qualitative in nature taking a hermeneutics-dialectics perspective in terms of results. Hospital directors noted that clinical management projects changed the state of hospitals through: improving their organizations, mobilizing their staff in order to increase a sense of order and systemizing actions and available resources. Technical rationality was the principal basis used in the decision making process for managers. Due to the reality of many hospitals having fragmented organizations, this fact impeded the use of aspects related to rationality, such as economic and financial factors in the decision making process. The incremental model and general politics also play a role in this area. We concluded that the decision making process embraces a large array of factors including rational aspects such as the use of management techniques and the ability to analyze, interpret and summarize. It also incorporates subjective elements such as how to select values and dealing with people's working experiences. We recognized that management problems are wide in scope, ambiguous, complex and do not come with a lot of structure in practice. PMID:27557021

  12. Lung Cancer Assistant: a hybrid clinical decision support application for lung cancer care

    PubMed Central

    Sesen, M. Berkan; Peake, Michael D.; Banares-Alcantara, Rene; Tse, Donald; Kadir, Timor; Stanley, Roz; Gleeson, Fergus; Brady, Michael

    2014-01-01

    Multidisciplinary team (MDT) meetings are becoming the model of care for cancer patients worldwide. While MDTs have improved the quality of cancer care, the meetings impose substantial time pressure on the members, who generally attend several such MDTs. We describe Lung Cancer Assistant (LCA), a clinical decision support (CDS) prototype designed to assist the experts in the treatment selection decisions in the lung cancer MDTs. A novel feature of LCA is its ability to provide rule-based and probabilistic decision support within a single platform. The guideline-based CDS is based on clinical guideline rules, while the probabilistic CDS is based on a Bayesian network trained on the English Lung Cancer Audit Database (LUCADA). We assess rule-based and probabilistic recommendations based on their concordances with the treatments recorded in LUCADA. Our results reveal that the guideline rule-based recommendations perform well in simulating the recorded treatments with exact and partial concordance rates of 0.57 and 0.79, respectively. On the other hand, the exact and partial concordance rates achieved with probabilistic results are relatively poorer with 0.27 and 0.76. However, probabilistic decision support fulfils a complementary role in providing accurate survival estimations. Compared to recorded treatments, both CDS approaches promote higher resection rates and multimodality treatments. PMID:24990290

  13. A Legal Framework to Enable Sharing of Clinical Decision Support Knowledge and Services across Institutional Boundaries

    PubMed Central

    Hongsermeier, Tonya; Maviglia, Saverio; Tsurikova, Lana; Bogaty, Dan; Rocha, Roberto A.; Goldberg, Howard; Meltzer, Seth; Middleton, Blackford

    2011-01-01

    The goal of the CDS Consortium (CDSC) is to assess, define, demonstrate, and evaluate best practices for knowledge management and clinical decision support in healthcare information technology at scale – across multiple ambulatory care settings and Electronic Health Record technology platforms. In the course of the CDSC research effort, it became evident that a sound legal foundation was required for knowledge sharing and clinical decision support services in order to address data sharing, intellectual property, accountability, and liability concerns. This paper outlines the framework utilized for developing agreements in support of sharing, accessing, and publishing content via the CDSC Knowledge Management Portal as well as an agreement in support of deployment and consumption of CDSC developed web services in the context of a research project under IRB oversight. PMID:22195151

  14. How Qualitative Research Informs Clinical and Policy Decision Making in Transplantation: A Review.

    PubMed

    Tong, Allison; Morton, Rachael L; Webster, Angela C

    2016-09-01

    Patient-centered care is no longer just a buzzword. It is now widely touted as a cornerstone in delivering quality care across all fields of medicine. However, patient-centered strategies and interventions necessitate evidence about patients' decision-making processes, values, priorities, and needs. Qualitative research is particularly well suited to understanding the experience and perspective of patients, donors, clinicians, and policy makers on a wide range of transplantation-related topics including organ donation and allocation, adherence to prescribed therapy, pretransplant and posttransplant care, implementation of clinical guidelines, and doctor-patient communication. In transplantation, evidence derived from qualitative research has been integrated into strategies for shared decision-making, patient educational resources, process evaluations of trials, clinical guidelines, and policies. The aim of this article is to outline key concepts and methods used in qualitative research, guide the appraisal of qualitative studies, and assist clinicians to understand how qualitative research may inform their practice and policy. PMID:27479165

  15. The perils of meta-regression to identify clinical decision support system success factors

    PubMed Central

    Fillmore, Christopher L.; Rommel, Casey A.; Welch, Brandon M.; Zhang, Mingyuan; Kawamoto, Kensaku

    2016-01-01

    Clinical decision support interventions are typically heterogeneous in nature, making it difficult to identify why some interventions succeed while others do not. One approach to identify factors important to the success of health information systems is the use of meta-regression techniques, in which potential explanatory factors are correlated with the outcome of interest. This approach, however, can result in misleading conclusions due to several issues. In this manuscript, we present a cautionary case study in the context of clinical decision support systems to illustrate the limitations of this type of analysis. We then discuss implications and recommendations for future work aimed at identifying success factors of medical informatics interventions. In particular, we identify the need for head-to-head trials in which the importance of system features is directly evaluated in a prospective manner. PMID:25998518

  16. WHAT ARE 'BEST INTERESTS'? A CRITICAL EVALUATION OF 'BEST INTERESTS' DECISION-MAKING IN CLINICAL PRACTICE.

    PubMed

    Taylor, Helen J

    2016-01-01

    Obtaining the patient's consent is usually a prerequisite of any clinical intervention. However, some cognitively impaired patients may not be able to give valid consent. Following years of consultation and legislative review, the Mental Capacity Act 2005 (MCA) provides a statutory framework of 'best interests' decision-making on behalf of incapacitated individuals. However, confusion over the meaning and application of the 'best interests' standard persists. This paper explores the variation in judicial interpretation of the standard and the complexities of best interests decision-making in clinical practice. Prevailing confusion and risk-aversive practices mean that the rights and interests of cognitively impaired individuals continue to be compromised, with evidence to suggest that 'best interests' may be conflated with the clinician's evaluation of 'best medical interests'. PMID:26979251

  17. [Computer-aided reconstruction of the facial skeleton : Planning and implementation in clinical routine].

    PubMed

    Wilde, F; Schramm, A

    2016-09-01

    In computer-aided reconstruction of the facial skeleton, a workflow has been established involving the following steps: > diagnosis → planning and simulation → surgical procedure → validation and quality control <. In addition to clinical findings, the focus of diagnosis is on three-dimensional (3D) imaging, particularly computed tomography. Planning and simulation involves creation of a virtual model of the desired surgical outcome using special planning software. The accuracy of implant fit can be virtually verified before surgery. 3D models and virtual reconstructions can be used for manufacturing patient-specific implants. During the surgical procedure, planning must be transferred to the surgical site as accurately as possible. A number of techniques are available for this purpose, e. g., closed reduction, open reduction with the placement of anatomically preformed or patient-specific implants in combination with surgical guides, and the additional use of navigation. Validation and quality control require postprocedural 3D imaging. After reconstructions of the midface, 3D imaging should be performed even before surgery is completed. Malpositions can thus be directly corrected and unnecessary open reconstructions avoided. Mobile 3D c-arms are particularly useful for intraoperative 3D imaging. Whereas intraoperative imaging makes postoperative imaging after midface reconstruction unnecessary in many cases, postoperative 3D imaging in addition to intraoperative imaging may still be recommended after complex reconstructions of the facial skeleton. PMID:27525666

  18. Clinical judgment and decision making in wound assessment and management: is experience enough?

    PubMed

    Logan, Gemma

    2015-03-01

    The assessment and management of wounds forms a large proportion of community nurses' workload, often requiring judgment and decision-making in complex, challenging and uncertain circumstances. The processes through which nurses form judgments and make decisions within this context are reviewed in this article against existing theories on these on these subjects. There is variability in wound assessment and management practice which may be attributed to uncertainties within the context, a lack of knowledge in appropriate treatment choices and the inability to correctly value the importance of the clinical information presented. Nurses may be required to draw on intuition to guide their judgments and decision-making by association with experience and expertise. In addition, a step-by-step analytical approach underpinned by an evidence base may be required to ensure accuracy in practice. Developing an understanding of the different theories of judgment and decision-making may facilitate nurses' abilities to reflect on their own decision tasks, thereby enhancing the care provided. PMID:25790510

  19. The anatomy of clinical decision-making in multidisciplinary cancer meetings

    PubMed Central

    Soukup, Tayana; Petrides, Konstantinos V.; Lamb, Benjamin W.; Sarkar, Somita; Arora, Sonal; Shah, Sujay; Darzi, Ara; Green, James S. A.; Sevdalis, Nick

    2016-01-01

    Abstract In the UK, treatment recommendations for patients with cancer are routinely made by multidisciplinary teams in weekly meetings. However, their performance is variable. The aim of this study was to explore the underlying structure of multidisciplinary decision-making process, and examine how it relates to team ability to reach a decision. This is a cross-sectional observational study consisting of 1045 patient reviews across 4 multidisciplinary cancer teams from teaching and community hospitals in London, UK, from 2010 to 2014. Meetings were chaired by surgeons. We used a validated observational instrument (Metric for the Observation of Decision-making in Cancer Multidisciplinary Meetings) consisting of 13 items to assess the decision-making process of each patient discussion. Rated on a 5-point scale, the items measured quality of presented patient information, and contributions to review by individual disciplines. A dichotomous outcome (yes/no) measured team ability to reach a decision. Ratings were submitted to Exploratory Factor Analysis and regression analysis. The exploratory factor analysis produced 4 factors, labeled “Holistic and Clinical inputs” (patient views, psychosocial aspects, patient history, comorbidities, oncologists’, nurses’, and surgeons’ inputs), “Radiology” (radiology results, radiologists’ inputs), “Pathology” (pathology results, pathologists’ inputs), and “Meeting Management” (meeting chairs’ and coordinators’ inputs). A negative cross-loading was observed from surgeons’ input on the fourth factor with a follow-up analysis showing negative correlation (r = −0.19, P < 0.001). In logistic regression, all 4 factors predicted team ability to reach a decision (P < 0.001). Hawthorne effect is the main limitation of the study. The decision-making process in cancer meetings is driven by 4 underlying factors representing the complete patient profile and contributions to case review by all core

  20. Validation of the Risk Estimator Decision aid for Atrial Fibrillation (RED-AF) for Predicting 30-Day Adverse Events in Emergency Department Patients With Atrial Fibrillation

    PubMed Central

    Barrett, Tyler W.; Jenkins, Cathy A.; Self, Wesley H.

    2014-01-01

    Objective Nearly 70% of emergency departments (ED) visits for atrial fibrillation (AF) result in hospitalization. The incidence of serious 30-day adverse events following an ED evaluation for AF remains low. This study’s goal was to prospectively validate our previously reported Risk Estimator Decision aid for AF (RED-AF) model for estimating a patient’s risk of experiencing a 30-day adverse event. Methods This was a prospective cohort study, which enrolled a convenience sample of ED patients presenting with AF. RED-AF, previously derived from a retrospective cohort of 832 patients, assigns points based on age, sex, coexisting disease (heart failure, hypertension, chronic obstructive pulmonary disease), smoking, home medications (beta blocker, diuretic), physical examination findings (dyspnea, palpitations, peripheral edema), and adequacy of ED ventricular rate control. Primary outcome was occurrence of ≥1 AF-related adverse outcome (ED visits, rehospitalization, cardiovascular complications, death) within 30 days. We identified a clinically relevant threshold and measured RED-AF’s performance in this prospective cohort, assessing its calibration, discrimination, and diagnostic accuracy. Results The study enrolled 497 patients between June 2010 and February 2013. Of these, 120 (24%) had ≥1 adverse event within 30 days. A RED-AF score of 87 was identified as an optimal threshold, resulting in sensitivity (95% CI) and specificity (95%CI) of 96% (91–98) and 19% (15–23), respectively. Positive and negative predictive values were 27% (23–32) and 93% (85–97), respectively. The c-statistic for RED-AF was 0.65 (95% CI, 0.59 to 0.71). Conclusion In this separate validation cohort, RED-AF performed moderately well and similar to the original derivation cohort for identifying the risk of short-term AF-related adverse events in ED patients diagnosed with AF. PMID:25245277

  1. Assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: a double-blind automated randomised control trial protocol

    PubMed Central

    BinDhim, Nasser F; McGeechan, Kevin; Trevena, Lyndal

    2014-01-01

    Introduction In a previous study exploring the feasibility of a smoking cessation application (app), we found that about 77% of the respondents from three countries were ready to quit in the next 30 days without significant differences between countries in terms of age, operating system and number of quitting attempts. However, the efficacy of smartphone apps for smoking cessation has not yet been established. This study tests the efficacy of a smartphone smoking cessation decision-aid app compared with an app that contains only smoking cessation information. Methods and analysis This is an automated double-blind, randomised controlled trial of a smoking cessation app that contains the eligibility requirements and baseline questionnaire and will randomise the participants into one of the two subapps (the intervention and the control). Participants will be recruited directly from the Apple app stores in Australia, Singapore, the UK and the USA. Daily smokers aged 18 and above will be randomised into one of the subapps after completing the baseline questionnaire. Abstinence rates will be measured at 10 days, 1 month, 3 months and 6 months, with the 1-month follow-up abstinence rate as the primary outcome. Logistic regression mixed models will be used to analyse the primary outcome. Ethics and dissemination This study was approved by the University of Sydney's Human Ethics Committee. The results of the trial will be published in peer-reviewed journals according to the CONSORT statement. Trial registration number Australian New Zealand ClinicalTrial RegistryACTRN12613000833763. PMID:25037644

  2. Evaluation of a Mammography Screening Decision Aid for Women Aged 75 and Older: Protocol for a Cluster-randomized Controlled Trial

    PubMed Central

    Schonberg, Mara A; Kistler, Christine E; Nekhlyudov, Larissa; Fagerlin, Angela; Davis, Roger B; Wee, Christina C; Marcantonio, Edward R; Lewis, Carmen L; Stanley, Whitney A; Crutchfield, Trisha M.; Hamel, Mary Beth

    2015-01-01

    Purpose There is insufficient evidence to recommend mammography for women >75 years. Guidelines recommend that older women be informed of the uncertainty of benefit and potential for harm, especially for women with short life expectancy. However, few older women are informed of harms of screening and many with short life expectancy are screened. Therefore, we aim to test whether a mammography screening decision aid (DA) for women >75 years affects their use of mammography, particularly for women with <10 year life expectancy. Methods/Design The DA is a self-administered pamphlet that includes information on screening outcomes, tailored information on breast cancer risk, health, life expectancy, and competing mortality risks, and includes a values clarification exercise. We are conducting a large cluster randomized controlled trial (RCT) of the DA with the primary care provider (PCP) as the unit of randomization to evaluate its efficacy. We plan to recruit 550 women 75-89 years from 100 PCPs to receive either the mammography DA or a pamphlet on home safety for older adults (control arm) before a visit with their PCP, depending on their PCP's randomization assignment. The primary outcome is receipt of mammography screening assessed through chart abstraction. Secondary outcomes include effect of the DA on older women's screening intentions, knowledge, and decisional conflict, and on documented discussions about mammography by their PCPs. We will recruit women from 5 Boston-based primary care practices (3 community-based internal medicine practices and 2 academic practices), and 2 North Carolina-based academic primary care practices. Discussion It is essential that we test the DA in a large RCT to determine if it is efficacious and to substantiate the need for broad translation into clinical practice. Our DA has the potential to improve health care utilization and care in a manner dictated by patient preferences. PMID:26229741

  3. A programmable rules engine to provide clinical decision support using HTML forms.

    PubMed

    Heusinkveld, J; Geissbuhler, A; Sheshelidze, D; Miller, R

    1999-01-01

    The authors have developed a simple method for specifying rules to be applied to information on HTML forms. This approach allows clinical experts, who lack the programming expertise needed to write CGI scripts, to construct and maintain domain-specific knowledge and ordering capabilities within WizOrder, the order-entry and decision support system used at Vanderbilt Hospital. The clinical knowledge base maintainers use HTML editors to create forms and spreadsheet programs for rule entry. A test environment has been developed which uses Netscape to display forms; the production environment displays forms using an embedded browser. PMID:10566470

  4. Editorial: The search for core symptoms - will this help clinical decision-making?

    PubMed

    Frazier Norbury, Courtenay

    2016-08-01

    Diagnosis is an important component of our clinical roles, and should also lead to particular treatment pathways. The diagnostic process may be challenged by co-occurring deficits that are neither specific nor universal to the diagnosis under consideration and may well be evident across a range of other clinical conditions. How important is it to refine our instruments so that they measure unique symptoms? Will this alter or improve intervention choices? This Editorial focuses on the extent to which fine tuning diagnostic instruments improves our decisions about treatment, in the context of articles published in this issue of JCPP. PMID:27445109

  5. The 2015 Clinical Guidelines for the Diagnosis and Treatment of HIV/AIDS in HIV-Infected Koreans

    PubMed Central

    2015-01-01

    The Committee for Clinical Guidelines for the Diagnosis and Treatment of HIV/AIDS of the Korean Society for AIDS was founded in 2010. The first edition of the Korean guidelines was published in 2011, and revised in 2013. The recommendations in the guideline contain important information for physicians working with HIV/AIDS in the clinical field. However, due to the rapid discovery of new data in the field of HIV and the evolution of the clinical environment in Korea, it has become necessary to revise the guideline again. This guideline aims to provide up-to-date comprehensive information regarding the diagnosis and management of HIV/AIDS in Korea. This guideline deals with issues regarding the initial assessment of newly diagnosed patients, timing of antiretroviral treatment (ART) initiation, preferred ART regimens in treatment-naïve as well as treatment-experienced patients and special populations such as HBV/HCV co-infected patients, or pregnant women. A brief summary of the revised guidelines and key changes to the original version of the guidelines are summarized below. PMID:26483998

  6. Influence of Patients’ Socioeconomic Status on Clinical Management Decisions: A Qualitative Study

    PubMed Central

    Bernheim, Susannah M.; Ross, Joseph S.; Krumholz, Harlan M.; Bradley, Elizabeth H.

    2008-01-01

    PURPOSE Little is known about how patients’ socioeconomic status (SES) influences physicians’ clinical management decisions, although this information may have important implications for understanding inequities in health care quality. We investigated physician perspectives on how patients’ SES influences care. METHODS The study consisted of in-depth semistructured interviews with primary care physicians in Connecticut. Investigators coded interviews line by line and refined the coding structure and interview guide based on successive interviews. Recurrent themes emerged through iterative analysis of codes and tagged quotations. RESULTS We interviewed 18 physicians from varied practice settings, 6 female, 9 from minority racial backgrounds, and 3 of Hispanic ethnicity. Four themes emerged from our interviews: (1) physicians held conflicting views about the effect of patient SES on clinical management, (2) physicians believed that changes in clinical management based on the patient’s SES were made in the patient’s interest, (3) physicians varied in the degree to which they thought changes in clinical management influenced patient outcomes, and (4) physicians faced personal and financial strains when caring for patients of low SES. CONCLUSIONS Physicians indicated that patient SES did affect their clinical management decisions. As a result, physicians commonly undertook changes to their management plan in an effort to enhance patient outcomes, but they experienced numerous strains when trying to balance what they believed was feasible for the patient with what they perceived as established standards of care. PMID:18195315

  7. Governance for clinical decision support: case studies and recommended practices from leading institutions

    PubMed Central

    Sittig, Dean F; Ash, Joan S; Bates, David W; Feblowitz, Joshua; Fraser, Greg; Maviglia, Saverio M; McMullen, Carmit; Nichol, W Paul; Pang, Justine E; Starmer, Jack; Middleton, Blackford

    2011-01-01

    Objective Clinical decision support (CDS) is a powerful tool for improving healthcare quality and ensuring patient safety; however, effective implementation of CDS requires effective clinical and technical governance structures. The authors sought to determine the range and variety of these governance structures and identify a set of recommended practices through observational study. Design Three site visits were conducted at institutions across the USA to learn about CDS capabilities and processes from clinical, technical, and organizational perspectives. Based on the results of these visits, written questionnaires were sent to the three institutions visited and two additional sites. Together, these five organizations encompass a variety of academic and community hospitals as well as small and large ambulatory practices. These organizations use both commercially available and internally developed clinical information systems. Measurements Characteristics of clinical information systems and CDS systems used at each site as well as governance structures and content management approaches were identified through extensive field interviews and follow-up surveys. Results Six recommended practices were identified in the area of governance, and four were identified in the area of content management. Key similarities and differences between the organizations studied were also highlighted. Conclusion Each of the five sites studied contributed to the recommended practices presented in this paper for CDS governance. Since these strategies appear to be useful at a diverse range of institutions, they should be considered by any future implementers of decision support. PMID:21252052

  8. A collaborative teaching strategy for enhancing learning of evidence-based clinical decision-making.

    PubMed

    Scott, P J; Altenburger, P A; Kean, J

    2011-01-01

    The educational literature cites a lack of student motivation to learn how to use research evidence in clinical decision-making because the students do not observe clinicians using evidence. This lack of motivation presents a challenge to educators as they seek to instill the value of evidence-based clinical decision-making (EBCD) in students. One problem is that students in entry-level programs do not have the experience needed to know what to look for, and secondly, clinical decision-making is contextually based in a patient problem. Our approach offers one solution to bridging the gap between classroom teaching and real-world implementation of EBCD through a three-phase collaborative approach. Occupational and physical therapy students are partnered with clinicians to find and appraise evidence to answer the real-world questions posed by these therapists. This paper describes the implementation of the partnership, teaching/learning outcomes, logistics, and implications for clinicians. We found this approach increased student motivation and greatly enhanced the learning experience. Future directions include implementing a framework which allows for the assessment of the strategy on the facility and creates opportunities to integrate the use of EBCD in all aspects of facility practice. PMID:21927777

  9. A study of clinical decision making by certified registered nurse anesthetists.

    PubMed

    Kremer, Michael J; Faut-Callahan, Margaret; Hicks, Frank D

    2002-10-01

    Anesthesia outcomes and related risk factors have been studied for more than 100 years. Varying sample sizes and research methods have been used, with research findings that were open to multiple interpretations. Research with closed malpractice claims demonstrates that American Society of Anesthesiologists physical status II patients undergoing elective procedures are most likely to experience damaging events intraoperatively with resultant postoperative adverse outcomes. The process of care, including clinical decision making, contributes to adverse outcomes. Clinical decision making can be difficult to assess and measure. In this study, the cognitive psychology framework of information-processing theory and literature pertaining to the use of heuristics, or rules of thumb, and clinical biases, were used to analyze cases from the AANA Foundation closed malpractice claims database. This database contains more than 300 files involving St Paul Fire and Marine Insurance Company-covered CRNAs from across the United States. These files were analyzed by 10 CRNA investigators on the AANA Closed Claims research team. Variables such as inadequate preinduction activities, e.g., incomplete preanesthetic assessments, and use of cognitive biases and inaccurate probability estimation were associated with adverse outcomes in this research sample. Teaching of decision science in basic and continuing nurse anesthesia education is advocated. PMID:12425129

  10. Interoperability of clinical decision-support systems and electronic health records using archetypes: a case study in clinical trial eligibility.

    PubMed

    Marcos, Mar; Maldonado, Jose A; Martínez-Salvador, Begoña; Boscá, Diego; Robles, Montserrat

    2013-08-01

    Clinical decision-support systems (CDSSs) comprise systems as diverse as sophisticated platforms to store and manage clinical data, tools to alert clinicians of problematic situations, or decision-making tools to assist clinicians. Irrespective of the kind of decision-support task CDSSs should be smoothly integrated within the clinical information system, interacting with other components, in particular with the electronic health record (EHR). However, despite decades of developments, most CDSSs lack interoperability features. We deal with the interoperability problem of CDSSs and EHRs by exploiting the dual-model methodology. This methodology distinguishes a reference model and archetypes. A reference model is represented by a stable and small object-oriented model that describes the generic properties of health record information. For their part, archetypes are reusable and domain-specific definitions of clinical concepts in the form of structured and constrained combinations of the entities of the reference model. We rely on archetypes to make the CDSS compatible with EHRs from different institutions. Concretely, we use archetypes for modelling the clinical concepts that the CDSS requires, in conjunction with a series of knowledge-intensive mappings relating the archetypes to the data sources (EHR and/or other archetypes) they depend on. We introduce a comprehensive approach, including a set of tools as well as methodological guidelines, to deal with the interoperability of CDSSs and EHRs based on archetypes. Archetypes are used to build a conceptual layer of the kind of a virtual health record (VHR) over the EHR whose contents need to be integrated and used in the CDSS, associating them with structural and terminology-based semantics. Subsequently, the archetypes are mapped to the EHR by means of an expressive mapping language and specific-purpose tools. We also describe a case study where the tools and methodology have been employed in a CDSS to support

  11. Prosthetic rehabilitation with an implant-supported fixed prosthesis using computer-aided design and computer-aided manufacturing dental technology for a patient with a mandibulectomy: A clinical report.

    PubMed

    Yoon, Hyung-In; Han, Jung-Suk

    2016-02-01

    The fabrication of dental prostheses with computer-aided design and computer-aided manufacturing shows acceptable marginal fits and favorable treatment outcomes. This clinical report describes the management of a patient who had undergone a mandibulectomy and received an implant-supported fixed prosthesis by using additive manufacturing for the framework and subtractive manufacturing for the monolithic zirconia restorations. PMID:26518985

  12. Formative Evaluation of Clinician Experience with Integrating Family History-Based Clinical Decision Support into Clinical Practice

    PubMed Central

    Doerr, Megan; Edelman, Emily; Gabitzsch, Emily; Eng, Charis; Teng, Kathryn

    2014-01-01

    Family health history is a leading predictor of disease risk. Nonetheless, it is underutilized to guide care and, therefore, is ripe for health information technology intervention. To fill the family health history practice gap, Cleveland Clinic has developed a family health history collection and clinical decision support tool, MyFamily. This report describes the impact and process of implementing MyFamily into primary care, cancer survivorship and cancer genetics clinics. Ten providers participated in semi-structured interviews that were analyzed to identify opportunities for process improvement. Participants universally noted positive effects on patient care, including increases in quality, personalization of care and patient engagement. The impact on clinical workflow varied by practice setting, with differences observed in the ease of integration and the use of specific report elements. Tension between the length of the report and desired detail was appreciated. Barriers and facilitators to the process of implementation were noted, dominated by the theme of increased integration with the electronic medical record. These results fed real-time improvement cycles to reinforce clinician use. This model will be applied in future institutional efforts to integrate clinical genomic applications into practice and may be useful for other institutions considering the implementation of tools for personalizing medical management. PMID:25563219

  13. Reproductive Ethics in Commercial Surrogacy: Decision-Making in IVF Clinics in New Delhi, India.

    PubMed

    Tanderup, Malene; Reddy, Sunita; Patel, Tulsi; Nielsen, Birgitte Bruun

    2015-09-01

    As a neo-liberal economy, India has become one of the new health tourism destinations, with commercial gestational surrogacy as an expanding market. Yet the Indian Assisted Reproductive Technology (ART) Bill has been pending for five years, and the guidelines issued by the Indian Council of Medical Research are somewhat vague and contradictory, resulting in self-regulated practices of fertility clinics. This paper broadly looks at clinical ethics in reproduction in the practice of surrogacy and decision-making in various procedures. Through empirical research in New Delhi, the capital of India, from December 2011 to November 2012, issues of decision-making on embryo transfer, fetal reduction, and mode of delivery were identified. Interviews were carried out with doctors in eighteen ART clinics, agents from four agencies, and fourteen surrogates. In aiming to fulfil the commissioning parents' demands, doctors were willing to go to the greatest extent possible in their medical practice. Autonomy and decision-making regarding choice of the number of embryos to transfer and the mode of delivery lay neither with commissioning parents nor surrogate mothers but mostly with doctors. In order to ensure higher success rates, surrogates faced the risk of multiple pregnancy and fetal reduction with little information regarding the risks involved. In the globalized market of commercial surrogacy in India, and with clinics compromising on ethics, there is an urgent need for formulation of regulative law for the clinical practice and maintenance of principles of reproductive ethics in order to ensure that the interests of surrogate mothers are safeguarded. PMID:26133889

  14. Clinical Decision Support Tools for Osteoporosis Disease Management: A Systematic Review of Randomized Controlled Trials

    PubMed Central

    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

  15. Clinical Recommendations in Medical Practice: A Proposed Framework to Reduce Bias and Improve the Quality of Medical Decisions.

    PubMed

    Alfandre, David

    2016-01-01

    Patients rely on, benefit from, and are strongly influenced by physicians' recommendations. In spite of the centrality and importance of physicians' recommendations to clinical care, there is only a scant literature describing the conceptual process of forming a clinical recommendation, and no discrete professional standards for making individual clinical recommendations. Evidence-based medicine and shared decision making together are intended to improve medical decision making, but there has been limited attention to how a recommendation is discretely formulated from either of those processes or how patients' preferences ought to be considered and how much weight they should hold. Moreover, physicians' bias has been reported to strongly influence how a recommendation is derived, thereby undermining the quality of healthcare decisions and patients' trust. To demonstrate a potential for improving the quality of decisions, this article proposes a conceptual framework for how physicians should reach a clinical recommendation and apply the process in practice. For preference-sensitive clinical decisions-that is, clinical decisions when patients' values and preferences are relevant-the process for reaching a recommendation should be transparent to patients and should be based solely on the medical evidence and patients' values and preferences. When patients' preferences for care do not prioritize health, physicians decide whether their recommendation will prioritize a welfare-enhancing versus an autonomy-enhancing approach. When there are gaps in understanding how physicians derive their clinical recommendations and how to further improve the quality of the decisions, the author calls for further empiric research. PMID:27045301

  16. PHENOME-WIDE INTERACTION STUDY (PheWIS) IN AIDS CLINICAL TRIALS GROUP DATA (ACTG)

    PubMed Central

    Verma, Shefali S.; Frase, Alex T.; Verma, Anurag; Pendergrass, Sarah A.; Mahony, Shaun; Haas, David W.; Ritchie, Marylyn D.

    2015-01-01

    Association studies have shown and continue to show a substantial amount of success in identifying links between multiple single nucleotide polymorphisms (SNPs) and phenotypes. These studies are also believed to provide insights toward identification of new drug targets and therapies. Albeit of all the success, challenges still remain for applying and prioritizing these associations based on available biological knowledge. Along with single variant association analysis, genetic interactions also play an important role in uncovering the etiology and progression of complex traits. For gene-gene interaction analysis, selection of the variants to test for associations still poses a challenge in identifying epistatic interactions among the large list of variants available in high-throughput, genome-wide datasets. Therefore in this study, we propose a pipeline to identify interactions among genetic variants that are associated with multiple phenotypes by prioritizing previously published results from main effect association analysis (genome-wide and phenome-wide association analysis) based on a-priori biological knowledge in AIDS Clinical Trials Group (ACTG) data. We approached the prioritization and filtration of variants by using the results of a previously published single variant PheWAS and then utilizing biological information from the Roadmap Epigenome project. We removed variants in low functional activity regions based on chromatin states annotation and then conducted an exhaustive pairwise interaction search using linear regression analysis. We performed this analysis in two independent pre-treatment clinical trial datasets from ACTG to allow for both discovery and replication. Using a regression framework, we observed 50,798 associations that replicate at p-value 0.01 for 26 phenotypes, among which 2,176 associations for 212 unique SNPs for fasting blood glucose phenotype reach Bonferroni significance and an additional 9,970 interactions for high

  17. Religiosity and adherence to antiretroviral therapy among patients attending a public hospital-based HIV/AIDS clinic in Uganda.

    PubMed

    Kisenyi, Rita N; Muliira, Joshua K; Ayebare, Elizabeth

    2013-03-01

    In Uganda, the prevalence of non-adherence to antiretroviral therapy (ART) by HIV/AIDS patients remains high and sometimes this is blamed on patients' religious behavior. A descriptive design was used to examine the relationship between religiosity and ART adherence in a sample of 220 patients attending a HIV/AIDS clinic in a Ugandan public hospital. Participants who self-identified as Pentecostal and Muslim had the highest percentage of members with high religiosity scores and ART adherence. Among Muslim participants (34), 82% reported high religiosity scores and high levels of ART adherence. Of the fifty Pentecostals participants, 96% reported high religiosity scores and 80% reported high levels of ART adherence. Correlation analysis showed a significant relationship between ART adherence and religiosity (r = 0.618, P ≤ 0.01). Therefore, collaboration between religious leaders and HIV/AIDS healthcare providers should be encouraged as one of the strategies for enhancing ART adherence. PMID:21360222

  18. Clinical epidemiology of HIV/AIDS in China from 2004-2011.

    PubMed

    Li, Min; Shen, Yinzhong; Jiang, Xiaofei; Li, Qi; Zhou, Xiaoming; Lu, Hongzhou

    2014-02-01

    This study retrospectively analyzed Chinese publicly reported data on Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome (HIV/AIDS). The HIV/AIDS morbidity (1/100,000) and mortality (1/100,000) rates in China continually increased from 0.23 and 0.06 in 2004 to 1.53 and 0.69 in 2011, respectively. The AIDS case fatality rate decreased yearly from 53.57% in 2008 to 45.11% in 2011, and the fatality rate in rural areas (0.25-0.42%) was higher than that in cities (0.13-0.22%). The number of HIV/AIDS patients discharged from city-level hospitals increased from 329 in 2004 to 7,266 in 2011, and this number was higher than the number of similar patients discharged from county-level (rural) hospitals (the number of HIV/AIDS patients increased from 252 in 2004 to 5,957 in 2011). The factors contributing to these trends include: enhanced physician HIV/AIDS education regarding diagnosis, intervention, monitoring, testing, and treatment; improved safety of blood collection and use; and improved management of HIV/AIDS patients. Therefore, HIV/AIDS prevention and control in rural areas of China is the key to reducing HIV transmission and mortality in China. PMID:24647113

  19. The Havemann-Taylor Fast Radiative Transfer Code (HT-FRTC) and its application within Tactical Decision Aids (TDAs)

    NASA Astrophysics Data System (ADS)

    Thelen, Jean-Claude; Havemann, Stephan; Wong, Gerald

    2015-10-01

    The Havemann-Taylor Fast Radiative Transfer Code (HT-FRTC) is a core component of the Met Office NEON Tactical Decision Aid (TDA). Within NEON, the HT-FRTC has for a number of years been used to predict the infrared apparent thermal contrasts between different surface types as observed by an airborne sensor. To achieve this, the HT-FRTC is supplied with the inherent temperatures and spectral properties of these surfaces (i.e. ground target(s) and backgrounds). A key strength of the HT-FRTC is its ability to take into account the detailed properties of the atmosphere, which in the context of NEON tend to be provided by a Numerical Weather Prediction (NWP) forecast model. While water vapour and ozone are generally the most important gases, additional trace gases are now being incorporated into the HT-FRTC. The HT-FRTC also includes an exact treatment of atmospheric scattering based on spherical harmonics. This allows for the treatment of several different aerosol species and of liquid and ice clouds. Recent developments can even account for rain and falling snow. The HT-FRTC works in Principal Component (PC) space and is trained on a wide variety of atmospheric and surface conditions, which significantly reduces the computational requirements regarding memory and processing time. One clear-sky simulation takes approximately one millisecond at the time of writing. Recent developments allow the training of HT-FRTC to be both completely generalised and sensor independent. This is significant as the user of the code can add new sensors and new surfaces/targets by supplying extra files which contain their (possibly classified) spectral properties. The HT-FRTC has been extended to cover the spectral range of Photopic and NVG sensors. One aim here is to give guidance on the expected, directionally resolved sky brightness, especially at night, again taking the actual or forecast atmospheric conditions into account. Recent developments include light level predictions during

  20. Ex