Shared Decision Making Interventions: Theoretical and Empirical Evidence with Implications for Health Literacy.

PubMed

Stacey, Dawn; Hill, Sophie; McCaffery, Kirsten; Boland, Laura; Lewis, Krystina B; Horvat, Lidia

2017-01-01

Basic health literacy is required for making health decisions. The aim of this chapter is to discuss the use of shared decision making interventions for supporting patient involvement in making health decisions. The chapter provides a definition of shared decision making and discusses the link between shared decision making and the three levels of health literacy: functional, communicative/interactive, and critical. The Interprofessional Shared Decision Making Model is used to identify the various players involved: the patient, the family/surrogate/significant others, decision coach, and health care professionals. When patients are involved in shared decision making, they have better health outcomes, better healthcare experiences, and likely lower costs. Yet, their degree of involvement is influenced by their level of health literacy. Interventions to facilitate shared decision making are patient decision aids, decision coaching, and question prompt lists. Patient decision aids have been shown to improve knowledge, accurate risk perceptions, and chosen options congruent with patients' values. Decision coaching improves knowledge and patient satisfaction. Question prompts also improve satisfaction. When shared decision making interventions have been evaluated with patients presumed to have lower health literacy, they appeared to be more beneficial to disadvantaged groups compared to those with higher literacy or better socioeconomic status. However, special attention needs to be applied when designing these interventions for populations with lower literacy. Two case exemplars are provided to illustrate the design and choice of interventions to better support patients with varying levels of health literacy. Despite evidence indicating these interventions are effective for involving patients in shared decision making, few are used in routine clinical practice. To increase their uptake, implementation strategies need to overcome barriers interfering with their use. Implementation strategies include training health care professionals, adopting SDM interventions that target patients, such as patient decision aids, and monitor patients' decisional comfort using the SURE test. Integrating health literacy principles is important when developing interventions that facilitate shared decision making and essential to avoid inadvertently producing higher inequalities between patients with varying levels of health literacy.

Shared Decision Making for Better Schools.

ERIC Educational Resources Information Center

Brost, Paul

2000-01-01

Delegating decision making to those closest to implementation can result in better decisions, more support for improvement initiatives, and increased student performance. Shared decision making depends on capable school leadership, a professional community, instructional guidance mechanisms, knowledge and skills, information sharing, power, and…

[Cancer screening in clinical practice: the value of shared decision-making].

PubMed

Cornuz, Jacques; Junod, Noëlle; Pasche, Olivier; Guessous, Idris

2010-07-14

Shared decision-making approach to uncertain clinical situations such as cancer screening seems more appropriate than ever. Shared decision making can be defined as an interactive process where physician and patient share all the stages of the decision making process. For patients who wish to be implicated in the management of their health conditions, physicians might express difficulty to do so. Use of patient decision aids appears to improve such process of shared decision making.

A Curriculum To Improve Decision-Making for School Psychologists.

ERIC Educational Resources Information Center

Davidow, Joseph R.

School psychologists are often asked to make significant decisions about students, but there has been a lack of research on how psychologists make such decisions. Obtaining the objective that school psychologists make sound decisions is an important goal, which involves training in how to minimize the adverse impact of predictable biases in human…

Calm and smart? A selective review of meditation effects on decision making.

PubMed

Sun, Sai; Yao, Ziqing; Wei, Jaixin; Yu, Rongjun

2015-01-01

Over the past two decades, there has been a growing interest in the use of meditation to improve cognitive performance, emotional balance, and well-being. As a consequence, research into the psychological effects and neural mechanisms of meditation has been accumulating. Whether and how meditation affects decision making is not yet clear. Here, we review evidence from behavioral and neuroimaging studies and summarize the effects of meditation on social and non-social economic decision making. Research suggests that meditation modulates brain activities associated with cognitive control, emotion regulation and empathy, and leads to improved non-social and social decision making. Accordingly, we propose an integrative model in which cognitive control, emotional regulation, and empathic concern mediate the effects of meditation on decision making. This model provides insights into the mechanisms by which meditation affects the decision making process. More evidence is needed to test our explanatory model and to explore the function of specific brain areas and their interactive effects on decision making during meditation training.

Calm and smart? A selective review of meditation effects on decision making

PubMed Central

Sun, Sai; Yao, Ziqing; Wei, Jaixin; Yu, Rongjun

2015-01-01

Over the past two decades, there has been a growing interest in the use of meditation to improve cognitive performance, emotional balance, and well-being. As a consequence, research into the psychological effects and neural mechanisms of meditation has been accumulating. Whether and how meditation affects decision making is not yet clear. Here, we review evidence from behavioral and neuroimaging studies and summarize the effects of meditation on social and non-social economic decision making. Research suggests that meditation modulates brain activities associated with cognitive control, emotion regulation and empathy, and leads to improved non-social and social decision making. Accordingly, we propose an integrative model in which cognitive control, emotional regulation, and empathic concern mediate the effects of meditation on decision making. This model provides insights into the mechanisms by which meditation affects the decision making process. More evidence is needed to test our explanatory model and to explore the function of specific brain areas and their interactive effects on decision making during meditation training. PMID:26257700

Decision Processes and Determinants of Hospital Evacuation and Shelter-in-Place During Hurricane Sandy.

PubMed

McGinty, Meghan D; Burke, Thomas A; Resnick, Beth; Barnett, Daniel J; Smith, Katherine C; Rutkow, Lainie

Evacuation and shelter-in-place decision making for hospitals is complex, and existing literature contains little information about how these decisions are made in practice. To describe decision-making processes and identify determinants of acute care hospital evacuation and shelter-in-place during Hurricane Sandy. Semistructured interviews were conducted from March 2014 to February 2015 with key informants who had authority and responsibility for evacuation and shelter-in-place decisions for hospitals during Hurricane Sandy in 2012. Interviews were recorded, transcribed, and thematically analyzed. Interviewees included hospital executives and state and local public health, emergency management, and emergency medical service officials from Delaware, Maryland, New Jersey, and New York. Interviewees identified decision processes and determinants of acute care hospital evacuation and shelter-in-place during Hurricane Sandy. We interviewed 42 individuals from 32 organizations. Decisions makers reported relying on their instincts rather than employing guides or tools to make evacuation and shelter-in-place decisions during Hurricane Sandy. Risk to patient health from evacuation, prior experience, cost, and ability to maintain continuity of operations were the most influential factors in decision making. Flooding and utility outages, which were predicted to or actually impacted continuity of operations, were the primary determinants of evacuation. Evacuation and shelter-in-place decision making for hospitals can be improved by ensuring hospital emergency plans address flooding and include explicit thresholds that, if exceeded, would trigger evacuation. Comparative risk assessments that inform decision making would be enhanced by improved collection, analysis, and communication of data on morbidity and mortality associated with evacuation versus sheltering-in-place of hospitals. In addition, administrators and public officials can improve their preparedness to make evacuation and shelter-in-place decisions by practicing the use of decision-making tools during training and exercises.

Effect of Training in Rational Decision Making on the Quality of Simulated Career Decisions.

ERIC Educational Resources Information Center

Krumboltz, John D.; And Others

1982-01-01

Determined if training in rational decision making improves the quality of simulated career decisions. Training in rational decision making resulted in superior performance for females on one subscore of the knowledge measure. It also resulted in superior simulated career choices by females and younger males. (Author)

Using M and S to Improve Human Decision Making and Achieve Effective Problem Solving in an International Environment

NASA Technical Reports Server (NTRS)

Christie, Vanessa L.; Landess, David J.

2012-01-01

In the international arena, decision makers are often swayed away from fact-based analysis by their own individual cultural and political bias. Modeling and Simulation-based training can raise awareness of individual predisposition and improve the quality of decision making by focusing solely on fact vice perception. This improved decision making methodology will support the multinational collaborative efforts of military and civilian leaders to solve challenges more effectively. The intent of this experimental research is to create a framework that allows decision makers to "come to the table" with the latest and most significant facts necessary to determine an appropriate solution for any given contingency.

Decision-Making Strategies for College Students

ERIC Educational Resources Information Center

Morey, Janis T.; Dansereau, Donald F.

2010-01-01

College students' decision making is often less than optimal and sometimes leads to negative consequences. The effectiveness of two strategies for improving student decision making--node-link mapping and social perspective taking (SPT)--are examined. Participants using SPT were significantly better able to evaluate decision options and develop…

The Effect of Cognitive Behavior Therapy on Decision Making in Adolescents Who Self-Harm: A Pilot Study

ERIC Educational Resources Information Center

Oldershaw, Anna; Simic, Mima; Grima, Emanuela; Jollant, Fabrice; Richards, Clair; Taylor, Lucy; Schmidt, Ulrike

2012-01-01

Research shows poor decision making in adolescents who self-harm and a positive correlation between decision-making abilities and duration since last self-harm episode. This exploratory study investigated whether decision making in self-harming adolescents could be improved through treatment with a novel cognitive behavior therapy (CBT). It also…

An experiment with interactive planning models

NASA Technical Reports Server (NTRS)

Beville, J.; Wagner, J. H.; Zannetos, Z. S.

1970-01-01

Experiments on decision making in planning problems are described. Executives were tested in dealing with capital investments and competitive pricing decisions under conditions of uncertainty. A software package, the interactive risk analysis model system, was developed, and two controlled experiments were conducted. It is concluded that planning models can aid management, and predicted uses of the models are as a central tool, as an educational tool, to improve consistency in decision making, to improve communications, and as a tool for consensus decision making.

Shared decision-making – transferring research into practice: the Analytic Hierarchy Process (AHP)

PubMed Central

Dolan, James G.

2008-01-01

Objective To illustrate how the Analytic Hierarchy Process (AHP) can be used to promote shared decision-making and enhance clinician-patient communication. Methods Tutorial review. Results The AHP promotes shared decision making by creating a framework that is used to define the decision, summarize the information available, prioritize information needs, elicit preferences and values, and foster meaningful communication among decision stakeholders. Conclusions The AHP and related multi-criteria methods have the potential for improving the quality of clinical decisions and overcoming current barriers to implementing shared decision making in busy clinical settings. Further research is needed to determine the best way to implement these tools and to determine their effectiveness. Practice Implications Many clinical decisions involve preference-based trade-offs between competing risks and benefits. The AHP is a well-developed method that provides a practical approach for improving patient-provider communication, clinical decision-making, and the quality of patient care in these situations. PMID:18760559

Acquisition and production of skilled behavior in dynamic decision-making tasks

NASA Technical Reports Server (NTRS)

Kirlik, Alex

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 making. Discussed here are the characteristic issues of these two decision-making strategies. 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. 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.

Age-Related Changes in Decision Making: Comparing Informed and Noninformed Situations

ERIC Educational Resources Information Center

Van Duijvenvoorde, Anna C. K.; Jansen, Brenda R. J.; Bredman, Joren C.; Huizenga, Hilde M.

2012-01-01

Advantageous decision making progressively develops into early adulthood, most specifically in complex and motivationally salient decision situations in which direct feedback on gains and losses is provided (Figner & Weber, 2011). However, the factors that underlie this developmental improvement in decision making are still not well understood.…

A Critical Analysis of HRD Evaluation Models from a Decision-Making Perspective

ERIC Educational Resources Information Center

Holton, Elwood F., III; Naquin, Sharon

2005-01-01

HRD evaluation models are recommended for use by organizations to improve decisions made about HRD interventions. However, the organizational decision-making literature has been virtually ignored by evaluation researchers. In this article, we review the organizational decision-making literature and critically review HRD evaluation research through…

Patients' perceptions of sharing in decisions: a systematic review of interventions to enhance shared decision making in routine clinical practice.

PubMed

Légaré, France; Turcotte, Stéphane; Stacey, Dawn; Ratté, Stéphane; Kryworuchko, Jennifer; Graham, Ian D

2012-01-01

Shared decision making is the process in which a healthcare choice is made jointly by the health professional and the patient. Little is known about what patients view as effective or ineffective strategies to implement shared decision making in routine clinical practice. This systematic review evaluates the effectiveness of interventions to improve health professionals' adoption of shared decision making in routine clinical practice, as seen by patients. We searched electronic databases (PubMed, the Cochrane Library, EMBASE, CINAHL, and PsycINFO) from their inception to mid-March 2009. We found additional material by reviewing the reference lists of the studies found in the databases; systematic reviews of studies on shared decision making; the proceedings of various editions of the International Shared Decision Making Conference; and the transcripts of the Society for Medical Decision Making's meetings. In our study selection, we included randomized controlled trials, controlled clinical trials, controlled before-and-after studies, and interrupted time series analyses in which patients evaluated interventions to improve health professionals' adoption of shared decision making. The interventions in question consisted of the distribution of printed educational material; educational meetings; audit and feedback; reminders; and patient-mediated initiatives (e.g. patient decision aids). Two reviewers independently screened the studies and extracted data. Statistical analyses considered categorical and continuous process measures. We computed the standardized effect size for each outcome at the 95% confidence interval. The primary outcome of interest was health professionals' adoption of shared decision making as reported by patients in a self-administered questionnaire. Of the 6764 search results, 21 studies reported 35 relevant comparisons. Overall, the quality of the studies ranged from 0% to 83%. Only three of the 21 studies reported a clinically significant effect for the primary outcome that favored the intervention. The first study compared an educational meeting and a patient-mediated intervention with another patient-mediated intervention (median improvement of 74%). The second compared an educational meeting, a patient-mediated intervention, and audit and feedback with an educational meeting on an alternative topic (improvement of 227%). The third compared an educational meeting and a patient-mediated intervention with usual care (p = 0.003). All three studies were limited to the patient-physician dyad. To reduce bias, future studies should improve methods and reporting, and should analyze costs and benefits, including those associated with training of health professionals. Multifaceted interventions that include educating health professionals about sharing decisions with patients and patient-mediated interventions, such as patient decision aids, appear promising for improving health professionals' adoption of shared decision making in routine clinical practice as seen by patients.

Video-based training to improve perceptual-cognitive decision-making performance of Australian football umpires.

PubMed

Larkin, Paul; Mesagno, Christopher; Berry, Jason; Spittle, Michael; Harvey, Jack

2018-02-01

Decision-making is a central component of the in-game performance of Australian football umpires; however, current umpire training focuses largely on physiological development with decision-making skills development conducted via explicit lecture-style meetings with limited practice devoted to making actual decisions. Therefore, this study investigated the efficacy of a video-based training programme, aimed to provide a greater amount of contextualised visual experiences without explicit instruction, to improve decision-making skills of umpires. Australian football umpires (n = 52) were recruited from metropolitan and regional Division 1 competitions. Participants were randomly assigned to an intervention or control group and classified according to previous umpire game experience (i.e., experienced; less experienced). The intervention group completed a 12-week video-based decision-making training programme, with decision-making performance assessed at pre-training, and 1-week retention and 3-week retention periods. The control group did not complete any video-based training. Results indicated a significant Group (intervention; Control) × Test interaction (F(1, 100) = 3.98; P = 0.02, partial ῆ 2  = 0.074), with follow-up pairwise comparisons indicating significant within-group differences over time for the intervention group. In addition, decision-making performance of the less experienced umpires in the intervention group significantly improved (F(2, 40) = 5.03, P = 0.01, partial ῆ 2  = 0.201). Thus, video-based training programmes may be a viable adjunct to current training programmes to hasten decision-making development, especially for less experienced umpires.

Shared decision-making in epilepsy management.

PubMed

Pickrell, W O; Elwyn, G; Smith, P E M

2015-06-01

Policy makers, clinicians, and patients increasingly recognize the need for greater patient involvement in clinical decision-making. Shared decision-making helps address these concerns by providing a framework for clinicians and patients to make decisions together using the best evidence. Shared decision-making is applicable to situations where several acceptable options exist (clinical equipoise). Such situations occur commonly in epilepsy, for example, in decisions regarding the choice of medication, treatment in pregnancy, and medication withdrawal. A talk model is a way of implementing shared decision-making during consultations, and decision aids are useful tools to assist in the process. Although there is limited evidence available for shared decision-making in epilepsy, there are several benefits of shared decision-making in general including improved decision quality, more informed choices, and better treatment concordance. Copyright © 2015 Elsevier Inc. All rights reserved.

Probability or Reasoning: Current Thinking and Realistic Strategies for Improved Medical Decisions

PubMed Central

2017-01-01

A prescriptive model approach in decision making could help achieve better diagnostic accuracy in clinical practice through methods that are less reliant on probabilistic assessments. Various prescriptive measures aimed at regulating factors that influence heuristics and clinical reasoning could support clinical decision-making process. Clinicians could avoid time-consuming decision-making methods that require probabilistic calculations. Intuitively, they could rely on heuristics to obtain an accurate diagnosis in a given clinical setting. An extensive literature review of cognitive psychology and medical decision-making theory was performed to illustrate how heuristics could be effectively utilized in daily practice. Since physicians often rely on heuristics in realistic situations, probabilistic estimation might not be a useful tool in everyday clinical practice. Improvements in the descriptive model of decision making (heuristics) may allow for greater diagnostic accuracy. PMID:29209469

Probability or Reasoning: Current Thinking and Realistic Strategies for Improved Medical Decisions.

PubMed

Nantha, Yogarabindranath Swarna

2017-11-01

A prescriptive model approach in decision making could help achieve better diagnostic accuracy in clinical practice through methods that are less reliant on probabilistic assessments. Various prescriptive measures aimed at regulating factors that influence heuristics and clinical reasoning could support clinical decision-making process. Clinicians could avoid time-consuming decision-making methods that require probabilistic calculations. Intuitively, they could rely on heuristics to obtain an accurate diagnosis in a given clinical setting. An extensive literature review of cognitive psychology and medical decision-making theory was performed to illustrate how heuristics could be effectively utilized in daily practice. Since physicians often rely on heuristics in realistic situations, probabilistic estimation might not be a useful tool in everyday clinical practice. Improvements in the descriptive model of decision making (heuristics) may allow for greater diagnostic accuracy.

Behavioral medicine perspectives on the design of health information technology to improve decision-making, guideline adherence, and care coordination in chronic pain management.

PubMed

Midboe, Amanda M; Lewis, Eleanor T; Cronkite, Ruth C; Chambers, Dallas; Goldstein, Mary K; Kerns, Robert D; Trafton, Jodie A

2011-03-01

Development of clinical decision support systems (CDSs) has tended to focus on facilitating medication management. An understanding of behavioral medicine perspectives on the usefulness of a CDS for patient care can expand CDSs to improve management of chronic disease. The purpose of this study is to explore feedback from behavioral medicine providers regarding the potential for CDSs to improve decision-making, care coordination, and guideline adherence in pain management. Qualitative methods were used to analyze semi-structured interview responses from behavioral medicine stakeholders following demonstration of an existing CDS for opioid prescribing, ATHENA-OT. Participants suggested that a CDS could assist with decision-making by educating providers, providing recommendations about behavioral therapy, facilitating risk assessment, and improving referral decisions. They suggested that a CDS could improve care coordination by facilitating division of workload, improving patient education, and increasing consideration and knowledge of options in other disciplines. Clinical decision support systems are promising tools for improving behavioral medicine care for chronic pain.

Reasoning and mathematical skills contribute to normatively superior decision making under risk: evidence from the game of dice task.

PubMed

Pertl, Marie-Theres; Zamarian, Laura; Delazer, Margarete

2017-08-01

In this study, we assessed to what extent reasoning improves performance in decision making under risk in a laboratory gambling task (Game of Dice Task-Double, GDT-D). We also investigated to what degree individuals with above average mathematical competence decide better than those with average mathematical competence. Eighty-five participants performed the GDT-D and several numerical tasks. Forty-two individuals were asked to calculate the probabilities and the outcomes associated with the different options of the GDT-D before performing it. The other 43 individuals performed the GDT-D at the beginning of the test session. Both reasoning and mathematical competence had a positive effect on decision making. Different measures of mathematical competence correlated with advantageous performance in decision making. Results suggest that decision making under explicit risk conditions improves when individuals are encouraged to reflect about the contingencies of a decision situation. Interventions based on numerical reasoning may also be useful for patients with difficulties in decision making.

Intergroup Conflict and Rational Decision Making

PubMed Central

Martínez-Tur, Vicente; Peñarroja, Vicente; Serrano, Miguel A.; Hidalgo, Vanesa; Moliner, Carolina; Salvador, Alicia; Alacreu-Crespo, Adrián; Gracia, Esther; Molina, Agustín

2014-01-01

The literature has been relatively silent about post-conflict processes. However, understanding the way humans deal with post-conflict situations is a challenge in our societies. With this in mind, we focus the present study on the rationality of cooperative decision making after an intergroup conflict, i.e., the extent to which groups take advantage of post-conflict situations to obtain benefits from collaborating with the other group involved in the conflict. Based on dual-process theories of thinking and affect heuristic, we propose that intergroup conflict hinders the rationality of cooperative decision making. We also hypothesize that this rationality improves when groups are involved in an in-group deliberative discussion. Results of a laboratory experiment support the idea that intergroup conflict –associated with indicators of the activation of negative feelings (negative affect state and heart rate)– has a negative effect on the aforementioned rationality over time and on both group and individual decision making. Although intergroup conflict leads to sub-optimal decision making, rationality improves when groups and individuals subjected to intergroup conflict make decisions after an in-group deliberative discussion. Additionally, the increased rationality of the group decision making after the deliberative discussion is transferred to subsequent individual decision making. PMID:25461384

Intergroup conflict and rational decision making.

PubMed

Martínez-Tur, Vicente; Peñarroja, Vicente; Serrano, Miguel A; Hidalgo, Vanesa; Moliner, Carolina; Salvador, Alicia; Alacreu-Crespo, Adrián; Gracia, Esther; Molina, Agustín

2014-01-01

The literature has been relatively silent about post-conflict processes. However, understanding the way humans deal with post-conflict situations is a challenge in our societies. With this in mind, we focus the present study on the rationality of cooperative decision making after an intergroup conflict, i.e., the extent to which groups take advantage of post-conflict situations to obtain benefits from collaborating with the other group involved in the conflict. Based on dual-process theories of thinking and affect heuristic, we propose that intergroup conflict hinders the rationality of cooperative decision making. We also hypothesize that this rationality improves when groups are involved in an in-group deliberative discussion. Results of a laboratory experiment support the idea that intergroup conflict -associated with indicators of the activation of negative feelings (negative affect state and heart rate)- has a negative effect on the aforementioned rationality over time and on both group and individual decision making. Although intergroup conflict leads to sub-optimal decision making, rationality improves when groups and individuals subjected to intergroup conflict make decisions after an in-group deliberative discussion. Additionally, the increased rationality of the group decision making after the deliberative discussion is transferred to subsequent individual decision making.

From policy to patients and back: surgical treatment decision making for patients with breast cancer.

PubMed

Katz, Steven J; Hawley, Sarah T

2007-01-01

Persistent use of mastectomy for breast cancer has motivated concerns about overtreatment by surgeons and lack of patient involvement in decisions. However, recent studies suggest that patients perceive substantial involvement and that some patients prefer more invasive surgery, while other research suggests that surgical treatment choices might be poorly informed. Decision-making quality can be improved by increasing patients' knowledge about treatments' risks and benefits and by optimizing their involvement. The mastectomy story underscores the limitations of utilization measures as quality indicators. Strategies to improve patient outcomes should focus on tools to improve the quality of decision making and innovations in multispecialty practice.

Decision-Making under Criteria Uncertainty

NASA Astrophysics Data System (ADS)

Kureychik, V. M.; Safronenkova, I. B.

2018-05-01

Uncertainty is an essential part of a decision-making procedure. The paper deals with the problem of decision-making under criteria uncertainty. In this context, decision-making under uncertainty, types and conditions of uncertainty were examined. The decision-making problem under uncertainty was formalized. A modification of the mathematical decision support method under uncertainty via ontologies was proposed. A critical distinction of the developed method is ontology usage as its base elements. The goal of this work is a development of a decision-making method under criteria uncertainty with the use of ontologies in the area of multilayer board designing. This method is oriented to improvement of technical-economic values of the examined domain.

Robust Decision Making: The Cognitive and Computational Modeling of Team Problem Solving for Decision Making under Complex and Dynamic Conditions

DTIC Science & Technology

2015-07-14

AFRL-OSR-VA-TR-2015-0202 Robust Decision Making: The Cognitive and Computational Modeling of Team Problem Solving for Decision Making under Complex...Computational Modeling of Team Problem Solving for Decision Making Under Complex and Dynamic Conditions 5a. CONTRACT NUMBER 5b. GRANT NUMBER FA9550-12-1...functioning as they solve complex problems, and propose the means to improve the performance of teams, under changing or adversarial conditions. By

Serotonin and decision making processes.

PubMed

Homberg, Judith R

2012-01-01

Serotonin (5-HT) is an important player in decision making. Serotonergic antidepressant, anxiolytic and antipsychotic drugs are extensively used in the treatment of neuropsychiatric disorders characterized by impaired decision making, and exert both beneficial and harmful effects in patients. Detailed insight into the serotonergic mechanisms underlying decision making is needed to strengthen the first and weaken the latter. Although much remains to be done to achieve this, accumulating studies begin to deliver a coherent view. Thus, high central 5-HT levels are generally associated with improved reversal learning, improved attentional set shifting, decreased delay discounting, and increased response inhibition, but a failure to use outcome representations. Based on 5-HT's evolutionary role, I hypothesize that 5-HT integrates expected, or changes in, relevant sensory and emotional internal/external information, leading to vigilance behaviour affecting various decision making processes. 5-HT receptor subtypes play distinctive roles in decision making. 5-HT(2A) agonists and 5-HT2c antagonists decrease compulsivity, whereas 5-HT(2A) antagonists and 5-HT(2C) agonists decrease impulsivity. 5-HT(6) antagonists univocally affect decision making processes. Copyright © 2011 Elsevier Ltd. All rights reserved.

Seeing the forest through the trees: improving decision making on the Iowa gambling task by shifting focus from short- to long-term outcomes

PubMed Central

Buelow, Melissa T.; Okdie, Bradley M.; Blaine, Amber L.

2013-01-01

Introduction: The present study sought to examine two methods by which to improve decision making on the Iowa Gambling Task (IGT): inducing a negative mood and providing additional learning trials. Method: In the first study, 194 undergraduate students [74 male; Mage = 19.44 (SD = 3.69)] were randomly assigned to view a series of pictures to induce a positive, negative, or neutral mood immediately prior to the IGT. In the second study, 276 undergraduate students [111 male; Mage = 19.18 (SD = 2.58)] completed a delay discounting task and back-to-back administrations of the IGT. Results: Participants in an induced negative mood selected more from Deck C during the final trials than those in an induced positive mood. Providing additional learning trials resulted in better decision making: participants shifted their focus from the frequency of immediate gains/losses (i.e., a preference for Decks B and D) to long-term outcomes (i.e., a preference for Deck D). In addition, disadvantageous decision making on the additional learning trials was associated with larger delay discounting (i.e., a preference for more immediate but smaller rewards). Conclusions: The present results indicate that decision making is affected by negative mood state, and that decision making can be improved by increasing the number of learning trials. In addition, the current results provide evidence of a relationship between performance on the IGT and on a separate measure of decision making, the delay discounting task. Moreover, the present results indicate that improved decision making on the IGT can be attributed to shifting focus toward long-term outcomes, as evidenced by increased selections from advantageous decks as well as correlations between the IGT and delay discounting task. Implications for the assessment of decision making using the IGT are discussed. PMID:24151485

To close the childhood immunization gap, we need a richer understanding of parents' decision-making.

PubMed

Corben, Paul; Leask, Julie

2016-12-01

Vaccination is widely acknowledged as one of the most successful public health interventions globally and in most high-income countries childhood vaccination coverage rates are moderately high. Yet in many instances, immunisation rates remain below aspirational targets and have shown only modest progress toward those targets in recent years, despite concerted efforts to improve uptake. In part, coverage rates reflect individual parents' vaccination attitudes and decisions and, because vaccination decision-making is complex and context-specific, it remains challenging at individual and community levels to assist parents to make positive decisions. Consequently, in the search for opportunities to improve immunisation coverage, there has been a renewed research focus on parents' decision-making. This review provides an overview of the literature surrounding parents' vaccination decision-making, offering suggestions for where efforts to increase vaccination coverage should be targeted and identifying areas for further research.

Participatory Decision Making.

ERIC Educational Resources Information Center

King, M. Bruce; And Others

Shifting from traditional, hierarchical bureaucracies to participatory governance and decision making is a major theme in school restructuring. This paper focuses on the involvement of teachers in key aspects of school decision making. Specifically, the paper describes how changes in power relations supported teachers' focus on improving the…

Evaluating the Quality of Patient Decision-Making Regarding Post-Acute Care.

PubMed

Burke, Robert E; Jones, Jacqueline; Lawrence, Emily; Ladebue, Amy; Ayele, Roman; Leonard, Chelsea; Lippmann, Brandi; Matlock, Daniel D; Allyn, Rebecca; Cumbler, Ethan

2018-05-01

Despite a national focus on post-acute care brought about by recent payment reforms, relatively little is known about how hospitalized older adults and their caregivers decide whether to go to a skilled nursing facility (SNF) after hospitalization. We sought to understand to what extent hospitalized older adults and their caregivers are empowered to make a high-quality decision about utilizing an SNF for post-acute care and what contextual or process elements led to satisfaction with the outcome of their decision once in SNF. Qualitative inquiry using the Ottawa Decision Support Framework (ODSF), a conceptual framework that describes key components of high-quality decision-making. Thirty-two previously community-dwelling older adults (≥ 65 years old) and 22 caregivers interviewed at three different hospitals and three skilled nursing facilities. We used key components of the ODSF to identify elements of context and process that affected decision-making and to what extent the outcome was characteristic of a high-quality decision: informed, values based, and not associated with regret or blame. The most important contextual themes were the presence of active medical conditions in the hospital that made decision-making difficult, prior experiences with hospital readmission or SNF, relative level of caregiver support, and pressure to make a decision quickly for which participants felt unprepared. Patients described playing a passive role in the decision-making process and largely relying on recommendations from the medical team. Patients commonly expressed resignation and a perceived lack of choice or autonomy, leading to dissatisfaction with the outcome. Understanding and intervening to improve the quality of decision-making regarding post-acute care supports is essential for improving outcomes of hospitalized older adults. Our results suggest that simply providing information is not sufficient; rather, incorporating key contextual factors and improving the decision-making process for both patients and clinicians are also essential.

Diagnosing Expertise: Human Capital, Decision Making, and Performance among Physicians

PubMed Central

Currie, Janet; MacLeod, W. Bentley

2017-01-01

Expert performance is often evaluated assuming that good experts have good outcomes. We examine expertise in medicine and develop a model that allows for two dimensions of physician performance: decision making and procedural skill. Better procedural skill increases the use of intensive procedures for everyone, while better decision making results in a reallocation of procedures from fewer low-risk to high-risk cases. We show that poor diagnosticians can be identified using administrative data and that improving decision making improves birth outcomes by reducing C-section rates at the bottom of the risk distribution and increasing them at the top of the distribution. PMID:29276336

Effect of Implicit Perceptual-Motor Training on Decision-Making Skills and Underpinning Gaze Behavior in Combat Athletes.

PubMed

Milazzo, Nicolas; Farrow, Damian; Fournier, Jean F

2016-08-01

This study investigated the effect of a 12-session, implicit perceptual-motor training program on decision-making skills and visual search behavior of highly skilled junior female karate fighters (M age = 15.7 years, SD = 1.2). Eighteen participants were required to make (physical or verbal) reaction decisions to various attacks within different fighting scenarios. Fighters' performance and eye movements were assessed before and after the intervention, and during acquisition through the use of video-based and on-mat decision-making tests. The video-based test revealed that following training, only the implicit perceptual-motor group (n = 6) improved their decision-making accuracy significantly compared to a matched motor training (placebo, n = 6) group and a control group (n = 6). Further, the implicit training group significantly changed their visual search behavior by focusing on fewer locations for longer durations. In addition, the session-by-session analysis showed no significant improvement in decision accuracy between training session 1 and all the other sessions, except the last one. Coaches should devote more practice time to implicit learning approaches during perceptual-motor training program to achieve significant decision-making improvements and more efficient visual search strategy with elite athletes. © The Author(s) 2016.

Decision Making in the Airplane

NASA Technical Reports Server (NTRS)

Orasanu, Judith; Shafto, Michael G. (Technical Monitor)

1995-01-01

The Importance of decision-making to safety in complex, dynamic environments like mission control centers, aviation, and offshore installations has been well established. NASA-ARC has a program of research dedicated to fostering safe and effective decision-making in the manned spaceflight environment. Because access to spaceflight is limited, environments with similar characteristics, including aviation and nuclear power plants, serve as analogs from which space-relevant data can be gathered and theories developed. Analyses of aviation accidents cite crew judgement and decision making as causes or contributing factors in over half of all accidents. Yet laboratory research on decision making has not proven especially helpful In improving the quality of decisions in these kinds of environments. One reason is that the traditional, analytic decision models are inappropriate to multi-dimensional, high-risk environments, and do not accurately describe what expert human decision makers do when they make decisions that have consequences. A new model of dynamic, naturalistic decision making is offered that may prove useful for improving decision making in complex, isolated, confined and high-risk environments. Based on analyses of crew performance in full-mission simulators and accident reports, features that define effective decision strategies in abnormal or emergency situations have been identified. These include accurate situation assessment (including time and risk assessment), appreciation of the complexity of the problem, sensitivity to constraints on the decision, timeliness of the response, and use of adequate information. More effective crews also manage their workload to provide themselves with time and resources to make good decisions. In brief, good decisions are appropriate to the demands of the situation. Effective crew decision making and overall performance are mediated by crew communication. Communication contributes to performance because it assures that all crew members have essential information, but it also regulates and coordinates crew actions and is the medium of collective thinking In response to a problem, This presentation will examine the relations between leadership, communication, decision making and overall crew performance. Implications of these findings for training will be discussed.

Anticipatory stress restores decision-making deficits in heavy drinkers by increasing sensitivity to losses.

PubMed

Gullo, Matthew J; Stieger, Adam A

2011-09-01

Substance abusers are characterized by hypersensitivity to reward. This leads to maladaptive decisions generally, as well as those on laboratory-based decision-making tasks, such as the Iowa Gambling Task (IGT). Negative affect has also been shown to disrupt the decision-making of healthy individuals, particularly decisions made under uncertainty. Neuropsychological theories of learning, including the Somatic Marker Hypothesis (SMH), argue this occurs by amplifying affective responses to punishment. In substance abusers, this might serve to rebalance their sensitivity to reward with punishment, and improve decision-making. Before completing the IGT, 45 heavy and 47 light drinkers were randomly assigned to a control condition, or led to believe they had to give a stressful public speech. IGT performance was analyzed with the Expectancy-Valence (EV) learning model. Working memory and IQ were also assessed. Heavy drinkers made more disadvantageous decisions than light drinkers, due to higher attention to gains (versus losses) on the IGT. Anticipatory stress increased participants' attention to losses, significantly improving heavy drinkers' decision-making. Anticipatory stress increased attention to losses, effectively restoring decision-making deficits in heavy drinkers by rebalancing their reward sensitivity with punishment sensitivity. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

The effect of methylphenidate on decision making in patients with borderline personality disorder and attention-deficit/hyperactivity disorder.

PubMed

Gvirts, Hila Z; Lewis, Yael D; Dvora, Shira; Feffer, Kfir; Nitzan, Uriel; Carmel, Ziv; Levkovitz, Yechiel; Maoz, Hagai

2018-07-01

Impaired decision making in patients with borderline personality disorder (BPD) has been reported in several studies. Although methylphenidate (MPH) is known to ameliorate impaired decision making in patients with attention-deficit/hyperactivity disorder (ADHD), it has not yet been examined in patients with BPD. We therefore assessed the efficacy of a single dose of MPH on cognitive functions and decision making in patients with BPD. Twenty-two patients diagnosed with BPD participated in the study. The study was a randomized, double-blind placebo-controlled, random block order cross-over trial. Patients participated in two sessions and performed the Test of Variables of Attention, a digit-span test, and the computerized Iowa Gambling Task, after they had been administered either the MPH or a placebo. ADHD symptoms were assessed using the Adult ADHD Self-Report Scale-18. Lower scores on the inattention symptoms scale were associated with a greater improvement in decision making following the administration of MPH when compared with improvements in patients with higher ADHD scores [F(1,17)=5.63, P=0.030]. We conclude that MPH may improve decision making in patients with BPD, although this effect is mediated by the level of ADHD symptoms. Further studies are needed to assess whether a prolonged beneficial effect of MPH on decision making in patients with BPD might also be present in 'real life'.

Administrative Leadership. Effective and Responsive Decision Making in Higher Education.

ERIC Educational Resources Information Center

Dressel, Paul L.

Administrative leadership is examined with focus on the processes and problems of campus decision-making. Chapters include: the need for administrators; morals, ethics, and values in higher education; improving administrative communication; conceptions of decision-making; focusing administration interest; understanding external influences,…

School and District Intervention: A Decision-Making Framework for Policymakers.

ERIC Educational Resources Information Center

Bowles, Susan A.; Churchill, Andrew M.; Effrat, Andrew; McDermott, Kathryn A.

This paper seeks to help state policymakers understand their relatively new role in improving the academic performance of local schools and districts. The first section, "Intervention Decision-Making Framework," focuses on the intervention decision making framework model, performance criteria, strategic criteria, diagnostic…

Robust Decision Making for Improved Mission Assurance

DTIC Science & Technology

2014-06-01

Technology Team (STT) proposed and was approved to receive funding for a set of four research projects advancing foundational decision science and... technology over a three year period of performance. At the time it was approved, the initiative involved 27 collaborating scientists and engineers from five...Appendix E. Sensors Directorate Technologies for Robust Decision Making for Improved Mission Assurance

Shared Decisions That Count.

ERIC Educational Resources Information Center

Schlechty, Phillip C.

1993-01-01

Advocates of participatory leadership, site-based management, and decentralization often assume that changing decision-making group composition will automatically improve the quality of decisions being made. Stakeholder satisfaction does not guarantee quality results. This article offers a framework for moving the decision-making discussion from…

Shared decision making for patients living with inflammatory arthritis.

PubMed

Palmer, Deborah; El Miedany, Yasser

Providing adequate care for people with inflammatory arthritis is an ongoing challenge. In recent years significant progress has been made in the treatment of inflammatory arthritic conditions. The availability of a wide range of disease-modifying anti-rheumatic drugs as well as biologic therapies has not only improved treatment, but also made treatment decisions much more complex. This wider range of improved treatment options happened at the same time as a clear move towards patient-centred care and implementing shared decision making for both medical and surgical conditions. Implementing shared decision making has been reported to be associated with higher satisfaction and better adherence to therapy. Electronic shared decision making has more recently been suggested as a tool for clinical practice. The aim of this article is to look at further integrating shared decision making in standard rheumatology practice in view of the available evidence and the outcomes of a study looking at a recently developed patient shared decision guide.

Using Fuzzy-Trace Theory to Understand and Improve Health Judgments, Decisions, and Behaviors: A Literature Review

PubMed Central

Blalock, Susan J.; Reyna, Valerie F.

2016-01-01

Objective Fuzzy-trace theory is a dual-process model of memory, reasoning, judgment, and decision making that contrasts with traditional expectancy-value approaches. We review the literature applying fuzzy-trace theory to health with three aims: evaluating whether the theory’s basic distinctions have been validated empirically in the domain of health; determining whether these distinctions are useful in assessing, explaining, and predicting health-related psychological processes; and determining whether the theory can be used to improve health judgments, decisions, or behaviors, especially in comparison to other approaches. Methods We conducted a literature review using PubMed, PsycInfo, and Web of Science to identify empirical peer-reviewed papers that applied fuzzy-trace theory, or central constructs of the theory, to investigate health judgments, decisions, or behaviors. Results 79 studies were identified, over half published since 2012, spanning a wide variety of conditions and populations. Study findings supported the prediction that verbatim and gist representations are distinct constructs that can be retrieved independently using different cues. Although gist-based reasoning was usually associated with improved judgment and decision making, four sources of bias that can impair gist reasoning were identified. Finally, promising findings were reported from intervention studies that used fuzzy-trace theory to improve decision making and decrease unhealthy risk taking. Conclusions Despite large gaps in the literature, most studies supported all three aims. By focusing on basic psychological processes that underlie judgment and decision making, fuzzy-trace theory provides insights into how individuals make decisions involving health risks and suggests innovative intervention approaches to improve health outcomes. PMID:27505197

What is a good medical decision? A research agenda guided by perspectives from multiple stakeholders.

PubMed

Hamilton, Jada G; Lillie, Sarah E; Alden, Dana L; Scherer, Laura; Oser, Megan; Rini, Christine; Tanaka, Miho; Baleix, John; Brewster, Mikki; Craddock Lee, Simon; Goldstein, Mary K; Jacobson, Robert M; Myers, Ronald E; Zikmund-Fisher, Brian J; Waters, Erika A

2017-02-01

Informed and shared decision making are critical aspects of patient-centered care, which has contributed to an emphasis on decision support interventions to promote good medical decision making. However, researchers and healthcare providers have not reached a consensus on what defines a good decision, nor how to evaluate it. This position paper, informed by conference sessions featuring diverse stakeholders held at the 2015 Society of Behavioral Medicine and Society for Medical Decision Making annual meetings, describes key concepts that influence the decision making process itself and that may change what it means to make a good decision: interpersonal factors, structural constraints, affective influences, and values clarification methods. This paper also proposes specific research questions within each of these priority areas, with the goal of moving medical decision making research to a more comprehensive definition of a good medical decision, and enhancing the ability to measure and improve the decision making process.

Decision Making on Medical Innovations in a Changing Health Care Environment: Insights from Accountable Care Organizations and Payers on Personalized Medicine and Other Technologies.

PubMed

Trosman, Julia R; Weldon, Christine B; Douglas, Michael P; Deverka, Patricia A; Watkins, John B; Phillips, Kathryn A

2017-01-01

New payment and care organization approaches, such as those of accountable care organizations (ACOs), are reshaping accountability and shifting risk, as well as decision making, from payers to providers, within the Triple Aim context of health reform. The Triple Aim calls for improving experience of care, improving health of populations, and reducing health care costs. To understand how the transition to the ACO model impacts decision making on adoption and use of innovative technologies in the era of accelerating scientific advancement of personalized medicine and other innovations. We interviewed representatives from 10 private payers and 6 provider institutions involved in implementing the ACO model (i.e., ACOs) to understand changes, challenges, and facilitators of decision making on medical innovations, including personalized medicine. We used the framework approach of qualitative research for study design and thematic analysis. We found that representatives from the participating payer companies and ACOs perceive similar challenges to ACOs' decision making in terms of achieving a balance between the components of the Triple Aim-improving care experience, improving population health, and reducing costs. The challenges include the prevalence of cost over care quality considerations in ACOs' decisions and ACOs' insufficient analytical and technology assessment capacity to evaluate complex innovations such as personalized medicine. Decision-making facilitators included increased competition across ACOs and patients' interest in personalized medicine. As new payment models evolve, payers, ACOs, and other stakeholders should address challenges and leverage opportunities to arm ACOs with robust, consistent, rigorous, and transparent approaches to decision making on medical innovations. Copyright © 2017 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Decision-Making on Medical Innovations in a Changing Healthcare Environment: Insights from Accountable Care Organizations and Payers on Personalized Medicine and Other Technologies

PubMed Central

Trosman, Julia R.; Weldon, Christine B.; Douglas, Michael P.; Deverka, Patricia A.; Watkins, John; Phillips, Kathryn A.

2016-01-01

Background New payment and care organization approaches, such as the Accountable Care Organization (ACO), are reshaping accountability and shifting risk, as well as decision-making, from payers to providers, under the Triple Aim of health reform. The Triple Aim calls for improving experience of care, improving health of populations and reducing healthcare costs. In the era of accelerating scientific advancement of personalized medicine and other innovations, it is critical to understand how the transition to the ACO model impacts decision-making on adoption and utilization of innovative technologies. Methods We interviewed representatives from ten private payers and six provider institutions involved in implementing the ACO model (i.e. ACOs) to understand changes, challenges and facilitators of decision-making on medical innovations, including personalized medicine. We used the framework approach of qualitative research for study design and thematic analysis. Results We found that representatives from the participating payer companies and ACOs perceive similar challenges to ACOs’ decision-making in terms of achieving a balance between the components of the Triple Aim – improving care experience, improving population health and reducing costs. The challenges include the prevalence of cost over care quality considerations in ACOs’ decisions and ACOs’ insufficient analytical and technology assessment capacity to evaluate complex innovations such as personalized medicine. Decision-making facilitators included increased competition across ACOs and patients’ interest in personalized medicine. Conclusions As new payment models evolve, payers, ACOs and other stakeholders should address challenges and leverage opportunities to arm ACOs with robust, consistent, rigorous and transparent approaches to decision-making on medical innovations. PMID:28212967

Concept mapping in a critical care orientation program: a pilot study to develop critical thinking and decision-making skills in novice nurses.

PubMed

Wahl, Stacy E; Thompson, Anita M

2013-10-01

Newly graduated registered nurses who were hired into a critical care intensive care unit showed a lack of critical thinking skills to inform their clinical decision-making abilities. This study evaluated the effectiveness of concept mapping as a teaching tool to improve critical thinking and clinical decision-making skills in novice nurses. A self-evaluation tool was administered before and after the learning intervention. The 25-item tool measured five key indicators of the development of critical thinking skills: problem recognition, clinical decision-making, prioritization, clinical implementation, and reflection. Statistically significant improvements were seen in 10 items encompassing all five indicators. Concept maps are an effective tool for educators to use in assisting novice nurses to develop their critical thinking and clinical decision-making skills. Copyright 2013, SLACK Incorporated.

Mothers' process of decision making for gastrostomy placement.

PubMed

Brotherton, Ailsa; Abbott, Janice

2012-05-01

In this article we present the findings of an exploration of mothers' discourses on decision making for gastrostomy placement for their child. Exploring in-depth interviews of a purposive sample, we analyzed the mothers' discourses of the decision-making process to understand how their experiences of the process influenced their subsequent constructions of decision making. Mothers negotiated decision making by reflecting on their personal experiences of feeding their child, either orally or via a tube, and interwove their background experiences with the communications from members of the health care team until a decision was reached. Decision making was often fraught with difficulty, resulting in anxiety and guilt. Experiences of decision making ranged from perceived coercion to true choice, which encompasses a truly child-centered decision. The resulting impact of the decision-making process on the mothers was profound. We conclude with an exploration of the implications for clinical practice and describe how health care professionals can support mothers to ensure that decision-making processes for gastrostomy placement in children are significantly improved.

Patients' understanding of shared decision making in a mental health setting.

PubMed

Eliacin, Johanne; Salyers, Michelle P; Kukla, Marina; Matthias, Marianne S

2015-05-01

Shared decision making is a fundamental component of patient-centered care and has been linked to positive health outcomes. Increasingly, researchers are turning their attention to shared decision making in mental health; however, few studies have explored decision making in these settings from patients' perspectives. We examined patients' accounts and understanding of shared decision making. We analyzed interviews from 54 veterans receiving outpatient mental health care at a Department of Veterans Affairs Medical Center in the United States. Although patients' understanding of shared decision making was consistent with accounts published in the literature, participants reported that shared decision making goes well beyond these components. They identified the patient-provider relationship as the bedrock of shared decision making and highlighted several factors that interfere with shared decision making. Our findings highlight the importance of the patient-provider relationship as a fundamental element of shared decision making and point to areas for potential improvement. © The Author(s) 2014.

Decision Making in Action: Applying Research to Practice

NASA Technical Reports Server (NTRS)

Orasanu, Judith; Hart, Sandra G. (Technical Monitor)

1994-01-01

The importance of decision-making to safety in complex, dynamic environments like mission control centers, aviation, and offshore installations has been well established. NASA-ARC has a program of research dedicated to fostering safe and effective decision-making in the manned spaceflight environment: Because access to spaceflight is limited, environments with similar characteristics, including aviation and nuclear power plants, serve as analogs from which space-relevant data can be gathered and theories developed. Analyses of aviation accidents cite crew judgement and decision making as causes or contributing factors in over half of all accidents. Yet laboratory research on decision making has not proven especially helpful in improving the quality of decisions in these kinds of environments. One reason is that the traditional, analytic decision models are inappropriate to multi-dimensional, high-risk environments, and do not accurately describe what expert human decision makers do when they make decisions that have consequences. A new model of dynamic, naturalistic decision making is offered that may prove useful for improving decision making in complex, isolated, confined and high-risk environments. Based on analyses of crew performance in full-mission simulators and accident reports, features that define effective decision strategies in abnormal or emergency situations have been identified. These include accurate situation assessment (including time and risk assessment), appreciation of the complexity of the problem, sensitivity to constraints on the decision, timeliness of the response, and use of adequate information. More effective crews also manage their workload to provide themselves with time and resources to make good good decisions are appropriate to the demands of the situation. Effective crew decision making and overall performance are mediated by crew communication. Communication contributes to performance because it assures that all crew members have essential information, but it also regulates and coordinates crew actions and is the medium of collective thinking in response to a problem. This presentation will examine the relations between leadership, communication, decision making and overall crew performance. Implications of these findings for training will be discussed.

Interactive Management and Updating of Spatial Data Bases

NASA Technical Reports Server (NTRS)

French, P.; Taylor, M.

1982-01-01

The decision making process, whether for power plant siting, load forecasting or energy resource planning, invariably involves a blend of analytical methods and judgement. Management decisions can be improved by the implementation of techniques which permit an increased comprehension of results from analytical models. Even where analytical procedures are not required, decisions can be aided by improving the methods used to examine spatially and temporally variant data. How the use of computer aided planning (CAP) programs and the selection of a predominant data structure, can improve the decision making process is discussed.

Decision Making under the Adamha Block Grant: Four Case Studies.

ERIC Educational Resources Information Center

Hudson, Christopher G.; Dubey, Sumati N.

1986-01-01

Investigated whether block grants improve decision making through the decentralization of control of social programs to state governments. Found that department bureaucrats have sought to protect the new flexibility from encroachment by elected officials through the rationalization and systematization of decision-making procedures. (Author/ABB)

Decision making in a multidisciplinary cancer team: does team discussion result in better quality decisions?

PubMed

Kee, Frank; Owen, Tracy; Leathem, Ruth

2004-01-01

To establish whether treatment recommendations made by clinicians concur with the best outcomes predicted from their prognostic estimates and whether team discussion improves the quality or outcome of their decision making, the authors studied real-time decision making by a lung cancer team. Clinicians completed pre- and postdiscussion questionnaires for 50 newly diagnosed patients. For each patient/doctor pairing, a decision model determined the expected patient outcomes from the clinician's prognostic estimates. The difference between the expected utility of the recommended treatment and the maximum utility derived from the clinician's predictions of the outcomes (the net utility loss) following all potential treatment modalities was calculated as an indicator of quality of the decision. The proportion of treatment decisions changed by the multidisciplinary team discussion was also calculated. Insofar as the change in net utility loss brought about by multidisciplinary team discussion was not significantly different from zero, team discussion did not improve the quality of decision making overall. However, given the modest power of the study, these findings must be interpreted with caution. In only 23 of 87 instances (26%) in which an individual specialist's initial treatment preference differed from the final group judgment did the specialist finally concur with the group treatment choice after discussion. This study does not support the theory that team discussion improves decision making by closing a knowledge gap.

Optimal decision making modeling for copper-matte Peirce-Smith converting process by means of data mining

NASA Astrophysics Data System (ADS)

Song, Yanpo; Peng, Xiaoqi; Tang, Ying; Hu, Zhikun

2013-07-01

To improve the operation level of copper converter, the approach to optimal decision making modeling for coppermatte converting process based on data mining is studied: in view of the characteristics of the process data, such as containing noise, small sample size and so on, a new robust improved ANN (artificial neural network) modeling method is proposed; taking into account the application purpose of decision making model, three new evaluation indexes named support, confidence and relative confidence are proposed; using real production data and the methods mentioned above, optimal decision making model for blowing time of S1 period (the 1st slag producing period) are developed. Simulation results show that this model can significantly improve the converting quality of S1 period, increase the optimal probability from about 70% to about 85%.

School-Based Decision Making: Linking Decisions to Learning. Third-Year Report to the Prichard Committee.

ERIC Educational Resources Information Center

David, Jane L.

Under the Kentucky Education Reform Act (KERA), School-Based Decision Making (SBDM) is the provision that creates school councils and delegates to them the authority to make important educational decisions to improve student performance. This paper describes findings from the third year of a 5-year study of SBDM that focused on early examples of…

Cognitive Development Effects of Teaching Probabilistic Decision Making to Middle School Students

ERIC Educational Resources Information Center

Mjelde, James W.; Litzenberg, Kerry K.; Lindner, James R.

2011-01-01

This study investigated the comprehension and effectiveness of teaching formal, probabilistic decision-making skills to middle school students. Two specific objectives were to determine (1) if middle school students can comprehend a probabilistic decision-making approach, and (2) if exposure to the modeling approaches improves middle school…

Economic Benefits of Predictive Models for Pest Control in Agricultural Crops

USDA-ARS?s Scientific Manuscript database

Various forms of crop models or decision making tools for managing crops have existed for many years. The potential advantage of all of these decision making tools is that more informed and economically improved crop management or decision making is accomplished. However, examination of some of thes...

Shared Decision Making: Improving Care for Children with Autism

ERIC Educational Resources Information Center

Golnik, Allison; Maccabee-Ryaboy, Nadia; Scal, Peter; Wey, Andrew; Gaillard, Philippe

2012-01-01

We assessed the extent to which parents of children with autism spectrum disorder report that they are engaged in shared decision making. We measured the association between shared decision making and (a) satisfaction with care, (b) perceived guidance regarding controversial issues in autism spectrum disorder, and (c) perceived assistance…

Improving Decision Making Skill Using an Online Volcanic Crisis Simulation: Impact of Data Presentation Format

ERIC Educational Resources Information Center

Barclay, Elizabeth J.; Renshaw, Carl E.; Taylor, Holly A.; Bilge, A. Reyan

2011-01-01

Creating effective computer-based learning exercises requires an understanding of optimal user interface designs for improving higher order cognitive skills. Using an online volcanic crisis simulation previously shown to improve decision making skill, we find that a user interface using a graphical presentation of the volcano monitoring data…

Mapping Perceptions of Lupus Medication Decision-Making Facilitators: The Importance of Patient Context.

PubMed

Qu, Haiyan; Shewchuk, Richard M; Alarcón, Graciela; Fraenkel, Liana; Leong, Amye; Dall'Era, Maria; Yazdany, Jinoos; Singh, Jasvinder A

2016-12-01

Numerous factors can impede or facilitate patients' medication decision-making and adherence to physicians' recommendations. Little is known about how patients and physicians jointly view issues that affect the decision-making process. Our objective was to derive an empirical framework of patient-identified facilitators to lupus medication decision-making from key stakeholders (including 15 physicians, 5 patients/patient advocates, and 8 medical professionals) using a patient-centered cognitive mapping approach. We used nominal group patient panels to identify facilitators to lupus treatment decision-making. Stakeholders independently sorted the identified facilitators (n = 98) based on their similarities and rated the importance of each facilitator in patient decision-making. Data were analyzed using multidimensional scaling and hierarchical cluster analysis. A cognitive map was derived that represents an empirical framework of facilitators for lupus treatment decisions from multiple stakeholders' perspectives. The facilitator clusters were 1) hope for a normal/healthy life, 2) understand benefits and effectiveness of taking medications, 3) desire to minimize side effects, 4) medication-related data, 5) medication effectiveness for "me," 6) family focus, 7) confidence in physician, 8) medication research, 9) reassurance about medication, and 10) medication economics. Consideration of how different stakeholders perceive the relative importance of lupus medication decision-making clusters is an important step toward improving patient-physician communication and effective shared decision-making. The empirically derived framework of medication decision-making facilitators can be used as a guide to develop a lupus decision aid that focuses on improving physician-patient communication. © 2016, American College of Rheumatology.

Establishing the effectiveness of patient decision aids: key constructs and measurement instruments

PubMed Central

2013-01-01

Background Establishing the effectiveness of patient decision aids (PtDA) requires evidence that PtDAs improve the quality of the decision-making process and the quality of the choice made, or decision quality. The aim of this paper is to review the theoretical and empirical evidence for PtDA effectiveness and discuss emerging practical and research issues in the measurement of effectiveness. Methods This updated overview incorporates: a) an examination of the instruments used to measure five key decision-making process constructs (i.e., recognize decision, feel informed about options and outcomes, feel clear about goals and preferences, discuss goals and preferences with health care provider, and be involved in decisions) and decision quality constructs (i.e., knowledge, realistic expectations, values-choice agreement) within the 86 trials in the Cochrane review; and b) a summary of the 2011 Cochrane Collaboration’s review of PtDAs for these key constructs. Data on the constructs and instruments used were extracted independently by two authors from the 86 trials and any disagreements were resolved by discussion, with adjudication by a third party where required. Results The 86 studies provide considerable evidence that PtDAs improve the decision-making process and decision quality. A majority of the studies (76/86; 88%) measured at least one of the key decision-making process or decision quality constructs. Seventeen different measurement instruments were used to measure decision-making process constructs, but no single instrument covered all five constructs. The Decisional Conflict Scale was most commonly used (n = 47), followed by the Control Preference Scale (n = 9). Many studies reported one or more constructs of decision quality, including knowledge (n = 59), realistic expectation of risks and benefits (n = 21), and values-choice agreement (n = 13). There was considerable variability in how values-choice agreement was defined and determined. No study reported on all key decision-making process and decision quality constructs. Conclusions Evidence of PtDA effectiveness in improving the quality of the decision-making process and decision quality is strong and growing. There is not, however, consensus or standardization of measurement for either the decision-making process or decision quality. Additional work is needed to develop and evaluate measurement instruments and further explore theoretical issues to advance future research on PtDA effectiveness. PMID:24625035

Establishing the effectiveness of patient decision aids: key constructs and measurement instruments.

PubMed

Sepucha, Karen R; Borkhoff, Cornelia M; Lally, Joanne; Levin, Carrie A; Matlock, Daniel D; Ng, Chirk Jenn; Ropka, Mary E; Stacey, Dawn; Joseph-Williams, Natalie; Wills, Celia E; Thomson, Richard

2013-01-01

Establishing the effectiveness of patient decision aids (PtDA) requires evidence that PtDAs improve the quality of the decision-making process and the quality of the choice made, or decision quality. The aim of this paper is to review the theoretical and empirical evidence for PtDA effectiveness and discuss emerging practical and research issues in the measurement of effectiveness. This updated overview incorporates: a) an examination of the instruments used to measure five key decision-making process constructs (i.e., recognize decision, feel informed about options and outcomes, feel clear about goals and preferences, discuss goals and preferences with health care provider, and be involved in decisions) and decision quality constructs (i.e., knowledge, realistic expectations, values-choice agreement) within the 86 trials in the Cochrane review; and b) a summary of the 2011 Cochrane Collaboration's review of PtDAs for these key constructs. Data on the constructs and instruments used were extracted independently by two authors from the 86 trials and any disagreements were resolved by discussion, with adjudication by a third party where required. The 86 studies provide considerable evidence that PtDAs improve the decision-making process and decision quality. A majority of the studies (76/86; 88%) measured at least one of the key decision-making process or decision quality constructs. Seventeen different measurement instruments were used to measure decision-making process constructs, but no single instrument covered all five constructs. The Decisional Conflict Scale was most commonly used (n = 47), followed by the Control Preference Scale (n = 9). Many studies reported one or more constructs of decision quality, including knowledge (n = 59), realistic expectation of risks and benefits (n = 21), and values-choice agreement (n = 13). There was considerable variability in how values-choice agreement was defined and determined. No study reported on all key decision-making process and decision quality constructs. Evidence of PtDA effectiveness in improving the quality of the decision-making process and decision quality is strong and growing. There is not, however, consensus or standardization of measurement for either the decision-making process or decision quality. Additional work is needed to develop and evaluate measurement instruments and further explore theoretical issues to advance future research on PtDA effectiveness.

Training surgeons in shared decision-making with cancer patients aged 65 years and older: a pilot study.

PubMed

Geessink, Noralie H; Schoon, Yvonne; Olde Rikkert, Marcel Gm; van Goor, Harry

2017-01-01

Treatment decision-making in older patients with colorectal (CRC) or pancreatic cancer (PC) needs improvement. We introduced the EASYcare in Geriatric Onco-surgery (EASY-GO) intervention to optimize the shared decision-making (SDM) process among these patients. The EASY-GO intervention comprised a working method with geriatric assessment and SDM training for surgeons. A non-equivalent control group design was used. Newly diagnosed CRC/PC patients aged ≥65 years were included. Primary patient-reported experiences were the quality of SDM (SDM-Q-9, range 0-100), involvement in decision-making (Visual Analog Scale for Involvement in the decision-making process [range 0-10]), satisfaction about decision-making (Visual Analog Scale for Satisfaction concerning the decision-making process [range 0-10]), and decisional regret (Decisional Regret Scale [DRS], range 0-100). Only for DRS, lower scores are better. A total of 71.4% of the involved consultants and 42.9% of the involved residents participated in the EASY-GO training. Only 4 trained surgeons consulted patients both before (n=19) and after (n=19) training and were consequently included in the analyses. All patient-reported experience measures showed a consistent but non-significant change in the direction of improved decision-making after training. According to surgeons, decisions were significantly more often made together with the patient after training (before, 38.9% vs after, 73.7%, p =0.04). Sub-analyses per diagnosis showed that patient experiences among older PC patients consistent and clinically relevant changed in the direction of improved decision-making after training (SDM-Q-9 +13.4 [95% CI -7.9; 34.6], VAS-I +0.27 [95% CI -1.1; 1.6], VAS-S +0.88 [95% CI -0.5; 2.2], DRS -10.3 [95% CI -27.8; 7.1]). This pilot study strengthens the practical potential of the intervention's concept among older surgical cancer patients.

Out-of-Home Placement Decision-Making and Outcomes in Child Welfare: A Longitudinal Study

PubMed Central

McClelland, Gary M.; Weiner, Dana A.; Jordan, Neil; Lyons, John S.

2015-01-01

After children enter the child welfare system, subsequent out-of-home placement decisions and their impact on children’s well-being are complex and under-researched. This study examined two placement decision-making models: a multidisciplinary team approach, and a decision support algorithm using a standardized assessment. Based on 3,911 placement records in the Illinois child welfare system over 4 years, concordant (agreement) and discordant (disagreement) decisions between the two models were compared. Concordant decisions consistently predicted improvement in children’s well-being regardless of placement type. Discordant decisions showed greater variability. In general, placing children in settings less restrictive than the algorithm suggested (“under-placing”) was associated with less severe baseline functioning but also less improvement over time than placing children according to the algorithm. “Over-placing” children in settings more restrictive than the algorithm recommended was associated with more severe baseline functioning but fewer significant results in rate of improvement than predicted by concordant decisions. The importance of placement decision-making on policy, restrictiveness of placement, and delivery of treatments and services in child welfare are discussed. PMID:24677172

Navigating the boundary of science for decision making at the state and local level

NASA Astrophysics Data System (ADS)

Gonzales, L. M.; Wood, C.; Boland, M. A.; Rose, C. A.

2015-12-01

Scientific information should play a vital role in many decision making processes, yet issues incorporating geoscience information often arise due to inherent differences between how scientists and decision makers operate. Decision makers and scientists have different priorities, produce work at different rates, and often lack an understanding of each others' institutional constraints. Boundary organizations, entities that facilitate collaboration and information flow across traditional boundaries such as that between scientists and decision makers, are in a unique position to improve the dialogue between disparate groups. The American Geosciences Institute (AGI), a nonprofit federation of 50 geoscience societies and organizations, is linking the geoscience and decision-making communities through its Critical Issues Program. AGI's Critical Issues program has first-hand experience in improving the transfer of information across the science-decision making boundary, particularly in areas pertaining to water resources and hazards. This presentation will focus on how, by collaborating with organizations representing the decision making and geoscience communities to inform our program development, we have created our three main content types - website, webinar series, and research database - to better meet the needs of the decision-making process. The program presents existing geoscience information in a way that makes the interconnected nature of geoscience topics more easily understood, encourages discussion between the scientific and decision-making communities, and has established a trusted source of impartial geoscience information. These efforts have focused on state and local decision makers—groups that increasingly influence climate and risk-related decisions, yet often lack the resources to access and understand geoscience information.

Always Gamble on an Empty Stomach: Hunger Is Associated with Advantageous Decision Making

PubMed Central

de Ridder, Denise; Kroese, Floor; Adriaanse, Marieke; Evers, Catharine

2014-01-01

Three experimental studies examined the counterintuitive hypothesis that hunger improves strategic decision making, arguing that people in a hot state are better able to make favorable decisions involving uncertain outcomes. Studies 1 and 2 demonstrated that participants with more hunger or greater appetite made more advantageous choices in the Iowa Gambling Task compared to sated participants or participants with a smaller appetite. Study 3 revealed that hungry participants were better able to appreciate future big rewards in a delay discounting task; and that, in spite of their perception of increased rewarding value of both food and monetary objects, hungry participants were not more inclined to take risks to get the object of their desire. Together, these studies for the first time provide evidence that hot states improve decision making under uncertain conditions, challenging the conventional conception of the detrimental role of impulsivity in decision making. PMID:25340399

Always gamble on an empty stomach: hunger is associated with advantageous decision making.

PubMed

de Ridder, Denise; Kroese, Floor; Adriaanse, Marieke; Evers, Catharine

2014-01-01

Three experimental studies examined the counterintuitive hypothesis that hunger improves strategic decision making, arguing that people in a hot state are better able to make favorable decisions involving uncertain outcomes. Studies 1 and 2 demonstrated that participants with more hunger or greater appetite made more advantageous choices in the Iowa Gambling Task compared to sated participants or participants with a smaller appetite. Study 3 revealed that hungry participants were better able to appreciate future big rewards in a delay discounting task; and that, in spite of their perception of increased rewarding value of both food and monetary objects, hungry participants were not more inclined to take risks to get the object of their desire. Together, these studies for the first time provide evidence that hot states improve decision making under uncertain conditions, challenging the conventional conception of the detrimental role of impulsivity in decision making.

Ten Years, Forty Decision Aids, And Thousands Of Patient Uses: Shared Decision Making At Massachusetts General Hospital.

PubMed

Sepucha, Karen R; Simmons, Leigh H; Barry, Michael J; Edgman-Levitan, Susan; Licurse, Adam M; Chaguturu, Sreekanth K

2016-04-01

Shared decision making is a core component of population health strategies aimed at improving patient engagement. Massachusetts General Hospital's integration of shared decision making into practice has focused on the following three elements: developing a culture receptive to, and health care providers skilled in, shared decision making conversations; using patient decision aids to help inform and engage patients; and providing infrastructure and resources to support the implementation of shared decision making in practice. In the period 2005-15, more than 900 clinicians and other staff members were trained in shared decision making, and more than 28,000 orders for one of about forty patient decision aids were placed to support informed patient-centered decisions. We profile two different implementation initiatives that increased the use of patient decision aids at the hospital's eighteen adult primary care practices, and we summarize key elements of the shared decision making program. Project HOPE—The People-to-People Health Foundation, Inc.

Shared decision-making in the paediatric field: a literature review and concept analysis.

PubMed

Park, Eun Sook; Cho, In Young

2017-09-13

The concept of shared decision-making is poorly defined and often used interchangeably with related terms. The aim of this study was to delineate and clarify the concept of shared decision-making in the paediatric field. Rodgers and Knafl's evolutionary concept analysis was used to delineate and clarify the concept. Following a search of the CINAHL, PubMed and MEDLINE databases and online journals between 1995 and 2016, we included a total of 42 articles that referred to shared decision-making in the paediatric field. The attributes included active participation of the three: parents, children and health professionals; collaborative partnership; reaching a compromise; and common goal for child's health. Antecedents were existing several options with different possible outcomes; substantial decisional conflict; recognising child's health situations that decision-making is needed; and willingness to participate in decision-making. Finally, the consequences included decreased decisional conflict; mutual empowerment; improved child health status; and improved quality of paediatric health care. This study provides a theoretical understanding of the concept of shared decision-making in the paediatric field; furthermore, by integrating this concept into paediatric practice, it may help to reduce the gap between theory and practice. The analysis could also provide nursing researchers with insight into paediatric decision-making and establish a foundation to develop future interventions and situation-specific theory for promoting high-quality decision-making in the paediatric field. © 2017 Nordic College of Caring Science.

[Cognitive errors in diagnostic decision making].

PubMed

Gäbler, Martin

2017-10-01

Approximately 10-15% of our diagnostic decisions are faulty and may lead to unfavorable and dangerous outcomes, which could be avoided. These diagnostic errors are mainly caused by cognitive biases in the diagnostic reasoning process.Our medical diagnostic decision-making is based on intuitive "System 1" and analytical "System 2" diagnostic decision-making and can be deviated by unconscious cognitive biases.These deviations can be positively influenced on a systemic and an individual level. For the individual, metacognition (internal withdrawal from the decision-making process) and debiasing strategies, such as verification, falsification and rule out worst-case scenarios, can lead to improved diagnostic decisions making.

A multicriteria decision making approach based on fuzzy theory and credibility mechanism for logistics center location selection.

PubMed

Wang, Bowen; Xiong, Haitao; Jiang, Chengrui

2014-01-01

As a hot topic in supply chain management, fuzzy method has been widely used in logistics center location selection to improve the reliability and suitability of the logistics center location selection with respect to the impacts of both qualitative and quantitative factors. However, it does not consider the consistency and the historical assessments accuracy of experts in predecisions. So this paper proposes a multicriteria decision making model based on credibility of decision makers by introducing priority of consistency and historical assessments accuracy mechanism into fuzzy multicriteria decision making approach. In this way, only decision makers who pass the credibility check are qualified to perform the further assessment. Finally, a practical example is analyzed to illustrate how to use the model. The result shows that the fuzzy multicriteria decision making model based on credibility mechanism can improve the reliability and suitability of site selection for the logistics center.

A Multicriteria Decision Making Approach Based on Fuzzy Theory and Credibility Mechanism for Logistics Center Location Selection

PubMed Central

Wang, Bowen; Jiang, Chengrui

2014-01-01

As a hot topic in supply chain management, fuzzy method has been widely used in logistics center location selection to improve the reliability and suitability of the logistics center location selection with respect to the impacts of both qualitative and quantitative factors. However, it does not consider the consistency and the historical assessments accuracy of experts in predecisions. So this paper proposes a multicriteria decision making model based on credibility of decision makers by introducing priority of consistency and historical assessments accuracy mechanism into fuzzy multicriteria decision making approach. In this way, only decision makers who pass the credibility check are qualified to perform the further assessment. Finally, a practical example is analyzed to illustrate how to use the model. The result shows that the fuzzy multicriteria decision making model based on credibility mechanism can improve the reliability and suitability of site selection for the logistics center. PMID:25215319

Using fuzzy-trace theory to understand and improve health judgments, decisions, and behaviors: A literature review.

PubMed

Blalock, Susan J; Reyna, Valerie F

2016-08-01

Fuzzy-trace theory is a dual-process model of memory, reasoning, judgment, and decision making that contrasts with traditional expectancy-value approaches. We review the literature applying fuzzy-trace theory to health with 3 aims: evaluating whether the theory's basic distinctions have been validated empirically in the domain of health; determining whether these distinctions are useful in assessing, explaining, and predicting health-related psychological processes; and determining whether the theory can be used to improve health judgments, decisions, or behaviors, especially compared to other approaches. We conducted a literature review using PubMed, PsycINFO, and Web of Science to identify empirical peer-reviewed papers that applied fuzzy-trace theory, or central constructs of the theory, to investigate health judgments, decisions, or behaviors. Seventy nine studies (updated total is 94 studies; see Supplemental materials) were identified, over half published since 2012, spanning a wide variety of conditions and populations. Study findings supported the prediction that verbatim and gist representations are distinct constructs that can be retrieved independently using different cues. Although gist-based reasoning was usually associated with improved judgment and decision making, 4 sources of bias that can impair gist reasoning were identified. Finally, promising findings were reported from intervention studies that used fuzzy-trace theory to improve decision making and decrease unhealthy risk taking. Despite large gaps in the literature, most studies supported all 3 aims. By focusing on basic psychological processes that underlie judgment and decision making, fuzzy-trace theory provides insights into how individuals make decisions involving health risks and suggests innovative intervention approaches to improve health outcomes. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Front-Line Physicians' Satisfaction with Information Systems in Hospitals.

PubMed

Peltonen, Laura-Maria; Junttila, Kristiina; Salanterä, Sanna

2018-01-01

Day-to-day operations management in hospital units is difficult due to continuously varying situations, several actors involved and a vast number of information systems in use. The aim of this study was to describe front-line physicians' satisfaction with existing information systems needed to support the day-to-day operations management in hospitals. A cross-sectional survey was used and data chosen with stratified random sampling were collected in nine hospitals. Data were analyzed with descriptive and inferential statistical methods. The response rate was 65 % (n = 111). The physicians reported that information systems support their decision making to some extent, but they do not improve access to information nor are they tailored for physicians. The respondents also reported that they need to use several information systems to support decision making and that they would prefer one information system to access important information. Improved information access would better support physicians' decision making and has the potential to improve the quality of decisions and speed up the decision making process.

Barriers to and facilitators of implementing shared decision making and decision support in a paediatric hospital: A descriptive study.

PubMed

Boland, Laura; McIsaac, Daniel I; Lawson, Margaret L

2016-04-01

To explore multiple stakeholders' perceived barriers to and facilitators of implementing shared decision making and decision support in a tertiary paediatric hospital. An interpretive descriptive qualitative study was conducted using focus groups and interviews to examine senior hospital administrators', clinicians', parents' and youths' perceived barriers to and facilitators of shared decision making and decision support implementation. Data were analyzed using inductive thematic analysis. Fifty-seven stakeholders participated. Six barrier and facilitator themes emerged. The main barrier was gaps in stakeholders' knowledge of shared decision making and decision support. Facilitators included compatibility between shared decision making and the hospital's culture and ideal practices, perceptions of positive patient and family outcomes associated with shared decision making, and positive attitudes regarding shared decision making and decision support. However, youth attitudes regarding the necessity and usefulness of a decision support program were a barrier. Two themes were both a barrier and a facilitator. First, stakeholder groups were uncertain which clinical situations are suitable for shared decision making (eg, new diagnoses, chronic illnesses, complex decisions or urgent decisions). Second, the clinical process may be hindered if shared decision making and decision support decrease efficiency and workflow; however, shared decision making may reduce repeat visits and save time over the long term. Specific knowledge translation strategies that improve shared decision making knowledge and match specific barriers identified by each stakeholder group may be required to promote successful shared decision making and decision support implementation in the authors' paediatric hospital.

Composite collective decision-making

PubMed Central

Czaczkes, Tomer J.; Czaczkes, Benjamin; Iglhaut, Carolin; Heinze, Jürgen

2015-01-01

Individual animals are adept at making decisions and have cognitive abilities, such as memory, which allow them to hone their decisions. Social animals can also share information. This allows social animals to make adaptive group-level decisions. Both individual and collective decision-making systems also have drawbacks and limitations, and while both are well studied, the interaction between them is still poorly understood. Here, we study how individual and collective decision-making interact during ant foraging. We first gathered empirical data on memory-based foraging persistence in the ant Lasius niger. We used these data to create an agent-based model where ants may use social information (trail pheromones), private information (memories) or both to make foraging decisions. The combined use of social and private information by individuals results in greater efficiency at the group level than when either information source was used alone. The modelled ants couple consensus decision-making, allowing them to quickly exploit high-quality food sources, and combined decision-making, allowing different individuals to specialize in exploiting different resource patches. Such a composite collective decision-making system reaps the benefits of both its constituent parts. Exploiting such insights into composite collective decision-making may lead to improved decision-making algorithms. PMID:26019155

Connecting Inquiry and Values in Science Education. An Approach Based on John Dewey's Philosophy

NASA Astrophysics Data System (ADS)

Lee, Eun Ah; Brown, Matthew J.

2018-03-01

Conducting scientific inquiry is expected to help students make informed decisions; however, how exactly it can help is rarely explained in science education standards. According to classroom studies, inquiry that students conduct in science classes seems to have little effect on their decision-making. Predetermined values play a large role in students' decision-making, but students do not explore these values or evaluate whether they are appropriate to the particular issue they are deciding, and they often ignore relevant scientific information. We explore how to connect inquiry and values, and how this connection can contribute to informed decision-making based on John Dewey's philosophy. Dewey argues that scientific inquiry should include value judgments and that conducting inquiry can improve the ability to make good value judgments. Value judgment is essential to informed, rational decision-making, and Dewey's ideas can explain how conducting inquiry can contribute to make an informed decision through value judgment. According to Dewey, each value judgment during inquiry is a practical judgment guiding action, and students can improve their value judgments by evaluating their actions during scientific inquiry. Thus, we suggest that students need an opportunity to explore values through scientific inquiry and that practicing value judgment will help informed decision-makings.

ASK Talks with Gary Klein

NASA Technical Reports Server (NTRS)

Klein, Gary

2004-01-01

Gary Klein, PH.D., is chief scientist of Klein Associates, Inc., a company he founded in 1978 to better understand how to improve decision making in individuals and teams. The company has 30 employees working on projects for both government and commercial clients. Dr. Klein is one of the founders of the field of naturalistic decision making. His work on recognitional decision making has been influential for the design of new systems and interfaces, and for the development of decision training programs. He has extended his work on decision making to describe problem detection, opinion generation, sense making, and planning.

Association of Decision-making with Patients' Perceptions of Care and Knowledge during Longitudinal Pulmonary Nodule Surveillance.

PubMed

Sullivan, Donald R; Golden, Sara E; Ganzini, Linda; Wiener, Renda Soylemez; Eden, Karen B; Slatore, Christopher G

2017-11-01

Patient participation in medical decision-making is widely advocated, but outcomes are inconsistent. We examined the associations between medical decision-making roles, and patients' perceptions of their care and knowledge while undergoing pulmonary nodule surveillance. The study setting was an academically affiliated Veterans Affairs hospital network in which 121 participants had 319 decision-making encounters. The Control Preferences Scale was used to assess patients' decision-making roles. Associations between decision-making, including role concordance (i.e., agreement between patients' preferred and actual roles), shared decision-making (SDM), and perceptions of care and knowledge, were assessed using logistic regression and generalized estimating equations. Participants had a preferred role in 98% of encounters, and most desired an active role (shared or patient controlled). For some encounters (36%), patients did not report their actual decision-making role, because they did not know what their role was. Role concordance and SDM occurred in 56% and 26% of encounters, respectively. Role concordance was associated with greater satisfaction with medical care (adjusted odds ratio [Adj-OR], 5.39; 95% confidence interval [CI], 1.68-17.26), higher quality of patient-reported care (Adj-OR, 2.86; 95% CI, 1.31-6.27), and more disagreement that care could be better (Adj-OR, 2.16; 95% CI, 1.12-4.16). Role concordance was not associated with improved pulmonary nodule knowledge with respect to lung cancer risk (Adj-OR, 1.12; 95% CI, 0.63-2.00) or nodule information received (Adj-OR, 1.13; 95% CI, 0.31-4.13). SDM was not associated with perceptions of care or knowledge. Among patients undergoing longitudinal nodule surveillance, a majority had a preference for having active roles in decision-making. Interestingly, during some encounters, patients did not know what their role was or that a decision was being made. Role concordance was associated with greater patient-reported satisfaction and quality of medical care, but not with improved knowledge. Patient participation in decision-making may influence perceptions of care; however, clinicians may need to focus on other communication strategies or domains to improve patient knowledge and health outcomes.

High Levels of Decisional Conflict and Decision Regret When Making Decisions About Biologics.

PubMed

Lipstein, Ellen A; Lovell, Daniel J; Denson, Lee A; Kim, Sandra C; Spencer, Charles; Ittenbach, Richard F; Britto, Maria T

2016-12-01

The aim of the study was to understand the association between parents' perceptions of the decision process and the decision outcomes in decisions about the use of biologics in pediatric chronic conditions. We mailed surveys to parents of children with inflammatory bowel disease or juvenile idiopathic arthritis who had started treatment with biologics in the prior 2 years and were treated at either of 2 children's hospitals. The survey included measures of the decision process, including decision control and physician engagement, and decision outcomes, including conflict and regret. We used means and frequencies to assess the response distributions. General linear models were used to test the associations between decision process and decision outcomes. We had 201 respondents (response rate 54.9%). Approximately 47.0% reported using shared decision making. Each physician engagement behavior was experienced by the majority of parents, with the highest percentage reporting that their child's physician used language they understood and listened to them. Approximately 48.5% of parents had decisional conflict scores of 25 or greater, indicating high levels of conflict. Approximately 28.2% had no regret, 31.8% had mild regret, and the remaining 40.0% had moderate to severe regret. Shared decision making was not associated with improved decisional conflict, but physician engagement behaviors were associated with both decisional conflict and regret. Improving decision outcomes will require more than just focusing on who parents perceive as controlling the final decision. Developing interventions that facilitate specific physician engagement behaviors may decrease parents' distress around decision making and improve decision outcomes.

The Impact of Geographic Information Systems on Emergency Management Decision Making at the U.S. Department of Homeland Security

ERIC Educational Resources Information Center

King, Steven Gray

2012-01-01

Geographic information systems (GIS) reveal relationships and patterns from large quantities of diverse data in the form of maps and reports. The United States spends billions of dollars to use GIS to improve decisions made during responses to natural disasters and terrorist attacks, but precisely how GIS improves or impairs decision making is not…

Effects of Anterior Capsulotomy on Decision Making in Patients with Refractory Obsessive–Compulsive Disorder

PubMed Central

Zhang, Chencheng; Chen, Yilin; Tian, Shuaiwei; Wang, Tao; Xie, Yile; Jin, Haiyan; Lin, Guozhen; Gong, Hengfen; Zeljic, Kristina; Sun, Bomin; Yang, Tianming; Zhan, Shikun

2017-01-01

Despite various lines of evidence implicating impaired decision-making ability in individuals with obsessive–compulsive disorder (OCD), neuropsychological investigation has generated inconsistent findings. Although the cortico-striato-thalamo-cortical (CSTC) circuitry has been suggested, the involvement of the cortex has not yet been fully demonstrated. Moreover, it is unknown whether surgical intervention on the CSTC circuitry results in a predicted improvement of decision-making ability of OCD. Here we present a study of decision making based on the Iowa Gambling Task (IGT) to investigate decision making in a large sample of individuals with treatment-resistant OCD with and without anterior capsulotomy (AC). Task performance was evaluated in healthy subjects, individuals with OCD that had not undergone surgery, and postsurgical OCD patients with AC. The latter group was further divided into a short-term postsurgical group and a long-term postsurgical group. We found that the OCD patients without surgery performed significantly worse than the healthy controls on the IGT. There were no significant differences in decision-making between the presurgical OCD patients and those at the short-term postsurgical follow-up. Decision-making ability of the long-term postsurgical OCD patients was improved to the level comparable to that of healthy controls. All clinical symptoms (OCD, depression, and anxiety) assessed by psychiatric rating scales were significantly alleviated post-surgically, but exhibited no correlation with their IGT task performance. Our findings provide strong evidence that OCD is linked to impairments in decision-making ability; that impaired CSTC circuitry function is directly involved in the manifestation of OCD; and that AC related improvements in cognitive functions are caused by long-term plasticity in the brain circuitry. PMID:29089909

Effects of Anterior Capsulotomy on Decision Making in Patients with Refractory Obsessive-Compulsive Disorder.

PubMed

Zhang, Chencheng; Chen, Yilin; Tian, Shuaiwei; Wang, Tao; Xie, Yile; Jin, Haiyan; Lin, Guozhen; Gong, Hengfen; Zeljic, Kristina; Sun, Bomin; Yang, Tianming; Zhan, Shikun

2017-01-01

Despite various lines of evidence implicating impaired decision-making ability in individuals with obsessive-compulsive disorder (OCD), neuropsychological investigation has generated inconsistent findings. Although the cortico-striato-thalamo-cortical (CSTC) circuitry has been suggested, the involvement of the cortex has not yet been fully demonstrated. Moreover, it is unknown whether surgical intervention on the CSTC circuitry results in a predicted improvement of decision-making ability of OCD. Here we present a study of decision making based on the Iowa Gambling Task (IGT) to investigate decision making in a large sample of individuals with treatment-resistant OCD with and without anterior capsulotomy (AC). Task performance was evaluated in healthy subjects, individuals with OCD that had not undergone surgery, and postsurgical OCD patients with AC. The latter group was further divided into a short-term postsurgical group and a long-term postsurgical group. We found that the OCD patients without surgery performed significantly worse than the healthy controls on the IGT. There were no significant differences in decision-making between the presurgical OCD patients and those at the short-term postsurgical follow-up. Decision-making ability of the long-term postsurgical OCD patients was improved to the level comparable to that of healthy controls. All clinical symptoms (OCD, depression, and anxiety) assessed by psychiatric rating scales were significantly alleviated post-surgically, but exhibited no correlation with their IGT task performance. Our findings provide strong evidence that OCD is linked to impairments in decision-making ability; that impaired CSTC circuitry function is directly involved in the manifestation of OCD; and that AC related improvements in cognitive functions are caused by long-term plasticity in the brain circuitry.

What is a good medical decision? A research agenda guided by perspectives from multiple stakeholders

PubMed Central

Hamilton, Jada G.; Lillie, Sarah E.; Alden, Dana L.; Scherer, Laura; Oser, Megan; Rini, Christine; Tanaka, Miho; Baleix, John; Brewster, Mikki; Lee, Simon Craddock; Goldstein, Mary K.; Jacobson, Robert M.; Myers, Ronald E.; Zikmund-Fisher, Brian J.; Waters, Erika A.

2016-01-01

Informed and shared decision making are critical aspects of patient-centered care, which has contributed to an emphasis on decision support interventions to promote good medical decision making. However, researchers and healthcare providers have not reached a consensus on what defines a good decision, nor how to evaluate it. This position paper, informed by conference sessions featuring diverse stakeholders held at the 2015 Society of Behavioral Medicine and Society for Medical Decision Making annual meetings, describes key concepts that influence the decision making process itself and that may change what it means to make a good decision: interpersonal factors, structural constraints, affective influences, and values clarification methods. This paper also proposes specific research questions within each of these priority areas, with the goal of moving medical decision making research to a more comprehensive definition of a good medical decision, and enhancing the ability to measure and improve the decision making process. PMID:27566316

On acquiring decision making skills for endovascular interventions.

PubMed

Lanzer, Peter; Prechelt, Lutz

2008-11-01

To improve interventional training we propose a staged rational approach for decision making and skill acquisition. Education and training for endovascular interventions should start to develop the learners' decision-making skills by learning from explicit representations of master interventionist's tacit decision-making knowledge through implementation of the notions of generic interventional modules, interventional strategic and tactical designs. We hope that these suggestions will encourage action, stimulate dialogue and advance the precision of our learning, procedures, practice and patient care.

A Time-Aware Routing Map for Indoor Evacuation †

PubMed Central

Zhao, Haifeng; Winter, Stephan

2016-01-01

Knowledge of dynamic environments expires over time. Thus, using static maps of the environment for decision making is problematic, especially in emergency situations, such as evacuations. This paper suggests a fading memory model for mapping dynamic environments: a mechanism to put less trust on older knowledge in decision making. The model has been assessed by simulating indoor evacuations, adopting and comparing various strategies in decision making. Results suggest that fading memory generally improves this decision making. PMID:26797610

ACED IT: A Tool for Improved Ethical and Moral Decision-Making

ERIC Educational Resources Information Center

Kreitler, Crystal Mata; Stenmark, Cheryl K.; Rodarte, Allen M.; Piñón DuMond, Rebecca

2014-01-01

Numerous examples of unethical organizational decision-making highlighted in the media have led many to question the general moral perception and ethical judgments of individuals. The present study examined two forms of a straightforward ethical decision-making (EDM) tool (ACED IT cognitive map) that could be a relatively simple instrument for…

The Effect of Shared Decision-Making on the Improvement in Teachers' Job Development

ERIC Educational Resources Information Center

Chi Keung, Cheng

2008-01-01

Background: Teacher Participation in decision-making is one of the recommendations of school-based management and one of the key characteristics of an effective school. Although teacher participation in decision making is claimed to be correlated with their affective outcome, few researchers have been attempted to verify the predictive…

A Structured Approach to End-of-Life Decision Making Improves Quality of Care for Patients With Terminal Illness in a Teaching Hospital in Ghana.

PubMed

Edwin, Ama Kyerewaa; Johnson McGee, Summer; Opare-Lokko, Edwina Addo; Gyakobo, Mawuli Kotope

2016-03-01

To determine whether a structured approach to end-of-life decision-making directed by a compassionate interdisciplinary team would improve the quality of care for patients with terminal illness in a teaching hospital in Ghana. A retrospective analysis was done for 20 patients who consented to participate in the structured approach to end-of-life decision-making. Twenty patients whose care did not follow the structured approach were selected as controls. Outcome measures were nociceptive pain control, completing relationships, and emotional response towards dying. These measures were statistically superior in the study group compared to the control group. A structured approach to end-of-life decision-making significantly improves the quality of care for patients with terminal illness in the domains of pain control, completing relationships and emotional responses towards dying. © The Author(s) 2014.

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

PubMed Central

2013-01-01

Background Clinicians face challenges in promoting colorectal cancer screening due to multiple competing demands. A decision aid that clarifies patient preferences and improves decision quality can aid shared decision making and be effective at increasing colorectal cancer screening rates. However, exactly how such an intervention improves shared decision making is unclear. This study, funded by the National Cancer Institute, seeks to provide detailed understanding of how an interactive decision aid that elicits patient’s risks and preferences impacts patient-clinician communication and shared decision making, and ultimately colorectal cancer screening adherence. Methods/Design This is a two-armed single-blinded randomized controlled trial with the target of 300 patients per arm. The setting is eleven community and three academic primary care practices in Metro Detroit. Patients are men and women aged between 50 and 75 years who are not up to date on colorectal cancer screening. ColoDATES Web (intervention arm), a decision aid that incorporates interactive personal risk assessment and preference clarification tools, is compared to a non-interactive website that matches ColoDATES Web in content but does not contain interactive tools (control arm). Primary outcomes are patient uptake of colorectal cancer screening; patient decision quality (knowledge, preference clarification, intent); clinician’s degree of shared decision making; and patient-clinician concordance in the screening test chosen. Secondary outcome incorporates a Structural Equation Modeling approach to understand the mechanism of the causal pathway and test the validity of the proposed conceptual model based on Theory of Planned Behavior. Clinicians and those performing the analysis are blinded to arms. Discussion The central hypothesis is that ColoDATES Web will improve colorectal cancer screening adherence through improvement in patient behavioral factors, shared decision making between the 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

U.S. infrastructure : funding trends and opportunities to improve investment decisions

DOT National Transportation Integrated Search

2000-02-01

Given the profound economic and social importance of the public infrastructure, it is crucial that federal, state, and local governments make prudent decisions on how to invest limited available resources. In making these decisions, governments will ...

Collective Decision Making in Organizations.

ERIC Educational Resources Information Center

Svenning, Lynne L.

Based on the assumption that educators can adopt new patterns of organization and management to improve the quality of decision and change in education, this paper attempts to make decision theory and small group process theory relevant to practical decision situations confronting educational managers. Included are (1) a discussion of the…

Decision Making in Action

NASA Technical Reports Server (NTRS)

Orasanu, Judith; Statler, Irving C. (Technical Monitor)

1994-01-01

The importance of decision-making to safety in complex, dynamic environments like mission control centers and offshore installations has been well established. NASA-ARC has a program of research dedicated to fostering safe and effective decision-making in the manned spaceflight environment. Because access to spaceflight is limited, environments with similar characteristics, including aviation and nuclear power plants, serve as analogs from which space-relevant data can be gathered and theories developed. Analyses of aviation accidents cite crew judgement and decision making as causes or contributing factors in over half of all accidents. A similar observation has been made in nuclear power plants. Yet laboratory research on decision making has not proven especially helpful in improving the quality of decisions in these kinds of environments. One reason is that the traditional, analytic decision models are inappropriate to multidimensional, high-risk environments, and do not accurately describe what expert human decision makers do when they make decisions that have consequences. A new model of dynamic, naturalistic decision making is offered that may prove useful for improving decision making in complex, isolated, confined and high-risk environments. Based on analyses of crew performance in full-mission simulators and accident reports, features that define effective decision strategies in abnormal or emergency situations have been identified. These include accurate situation assessment (including time and risk assessment), appreciation of the complexity of the problem, sensitivity to constraints on the decision, timeliness of the response, and use of adequate information. More effective crews also manage their workload to provide themselves with time and resources to make good decisions. In brief, good decisions are appropriate to the demands of the situation. Effective crew decision making and overall performance are mediated by crew communication. Communication contributes to performance because it assures that all crew members have essential information, but it also regulates and coordinates crew actions and is the medium of collective thinking in response to a problem. This presentation will examine the relations between leadership, communication, decision making and overall crew performance. Implications of these findings for spaceflight and training for offshore installations will be discussed.

Decision Making in Action: Applying Research to Practice

NASA Technical Reports Server (NTRS)

Orasanu, Judith; Statler, Irving C. (Technical Monitor)

1994-01-01

The importance of decision-making to safety in complex, dynamic environments like mission control centers and offshore installations has been well established. NASA-ARC has a program of research dedicated to fostering safe and effective decision-making in the manned spaceflight environment. Because access to spaceflight is limited, environments with similar characteristics, including aviation and nuclear power plants, serve as analogs from which space-relevant data can be gathered and theories developed. Analyses of aviation accidents cite crew judgement and decision making as causes or contributing factors in over half of all accidents. A similar observation has been made in nuclear power plants. Yet laboratory research on decision making has not proven especially helpful in improving the quality of decisions in these kinds of environments. One reason is that the traditional, analytic decision models are inappropriate to multidimensional, high-risk environments, and do not accurately describe what expert human decision makers do when they make decisions that have consequences. A new model of dynamic, naturalistic decision making is offered that may prove useful for improving decision making in complex, isolated, confined and high-risk environments. Based on analyses of crew performance in full-mission simulators and accident reports, features that define effective decision strategies in abnormal or emergency situations have been identified. These include accurate situation assessment (including time and risk assessment), appreciation of the complexity of the problem, sensitivity to constraints on the decision, timeliness of the response, and use of adequate information. More effective crews also manage their workload to provide themselves with time and resources to make good decisions. In brief, good decisions are appropriate to the demands of the situation. Effective crew decision making and overall performance are mediated by crew communication. Communication contributes to performance because it assures that all crew members have essential information, but it also regulates and coordinates crew actions and is the medium of collective thinking in response to a problem. This presentation will examine the relations between leadership, communication, decision making and overall crew performance. Implications of these findings for spaceflight and training for offshore installations will be discussed.

Decision-Making Amplification under Uncertainty: An Exploratory Study of Behavioral Similarity and Intelligent Decision Support Systems

ERIC Educational Resources Information Center

Campbell, Merle Wayne

2013-01-01

Intelligent decision systems have the potential to support and greatly amplify human decision-making across a number of industries and domains. However, despite the rapid improvement in the underlying capabilities of these "intelligent" systems, increasing their acceptance as decision aids in industry has remained a formidable challenge.…

Stakeholders’ Perspectives on Postmastectomy Breast Reconstruction: Recognizing Ways to Improve Shared Decision Making

PubMed Central

Hasak, Jessica M.; Myckatyn, Terence M.; Grabinski, Victoria F.; Philpott, Sydney E.; Parikh, Rajiv P.

2017-01-01

Background: Postmastectomy breast reconstruction (PMBR) is an elective, preference-sensitive decision made during a stressful, time-pressured period after a cancer diagnosis. Shared decision making (SDM) can improve decision quality about preference-sensitive choices. Stakeholders’ perspectives on ways to support PMBR decision-making were explored. Methods: Forty semi-structured interviews with stakeholders (20 postmastectomy patients, 10 PMBR surgeons, 10 PMBR nurses) were conducted. Clinicians were recruited from diverse practices across the United States. Patients were recruited using purposive sampling with varying PMBR experiences, including no reconstruction. The interview guide was based on an implementation research framework. Themes were identified using grounded theory approach, based on frequency and emotive force conveyed. Results: Engagement in SDM was variable. Some patients wanted more information about PMBR from clinicians, particularly about risks. Some clinicians acknowledged highlighting benefits and downplaying risks. Many patients felt pressured to make a choice by their clinicians. Clinicians who successfully engaged patients through decisions often used outside resources to supplement conversations. Conclusions: Patient–clinician trust was critical to high-quality decisions, and many patients expressed decision regret when they were not engaged in PMBR discussions. Patients often perceived a race- or age-related bias in clinician information sharing. Interventions to support SDM may enhance decision quality and reduce decision regret about PMBR, ultimately improving patient-centered care for women with breast cancer. PMID:29263969

The Effects of Safety Information on Aeronautical Decision Making

NASA Technical Reports Server (NTRS)

Lee, Jang R.; Fanjoy, Richard O.; Dillman, Brian G.

2005-01-01

The importance of aeronautical decision making (ADM) has been considered one of the most critical issues of flight education for future professional pilots. Researchers have suggested that a safety information system based on information from incidents and near misses is an important tool to improve the intelligence and readiness of pilots. This paper describes a study that examines the effect of safety information on aeronautical decision making for students in a collegiate flight program. Data was collected from study participants who were exposed to periodic information about local aircraft malfunctions. Participants were then evaluated using a flight simulator profile and a pen and pencil test of situational judgment. Findings suggest that regular access to the described safety information program significantly improves decision making of student pilots.

Improving family satisfaction and participation in decision making in an intensive care unit.

PubMed

Huffines, Meredith; Johnson, Karen L; Smitz Naranjo, Linda L; Lissauer, Matthew E; Fishel, Marmie Ann-Michelle; D'Angelo Howes, Susan M; Pannullo, Diane; Ralls, Mindy; Smith, Ruth

2013-10-01

Background Survey data revealed that families of patients in a surgical intensive care unit were not satisfied with their participation in decision making or with how well the multidisciplinary team worked together. Objectives To develop and implement an evidence-based communication algorithm and evaluate its effect in improving satisfaction among patients' families. Methods A multidisciplinary team developed an algorithm that included bundles of communication interventions at 24, 72, and 96 hours after admission to the unit. The algorithm included clinical triggers, which if present escalated the algorithm. A pre-post design using process improvement methods was used to compare families' satisfaction scores before and after implementation of the algorithm. Results Satisfaction scores for participation in decision making (45% vs 68%; z = -2.62, P = .009) and how well the health care team worked together (64% vs 83%; z = -2.10, P = .04) improved significantly after implementation. Conclusions Use of an evidence-based structured communication algorithm may be a way to improve satisfaction of families of intensive care patients with their participation in decision making and their perception of how well the unit's team works together.

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

PubMed

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

2016-01-26

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. 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. 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. 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, some features performed better than others. Integration of content control improved quality of decision making (SMD 0.59 vs 0.23 for knowledge; SMD 0.39 vs 0.29 for decisional conflict). In contrast, tailoring reduced quality of decision making (SMD 0.40 vs 0.71 for knowledge; SMD 0.25 vs 0.52 for decisional conflict). Similarly, patient narratives also reduced quality of decision making (SMD 0.43 vs 0.65 for knowledge; SMD 0.17 vs 0.46 for decisional conflict). Results were varied for different types of explicit values clarification, feedback, and social support. Integration of media rich or interactive features into computer-based decision aids can improve quality of preference-sensitive decision making. However, this is an emerging field with limited evidence to guide use. The systematic review and thematic synthesis identified features that have been integrated into available computer-based decision aids, in an effort to facilitate reporting of these features and to promote integration of such features into decision aids. The meta-analyses and associated subgroup analyses provide preliminary evidence to support integration of specific features into future decision aids. Further research can focus on clarifying independent contributions of specific features through experimental designs and refining the designs of features to improve effectiveness.

Effects of emotion on prospection during decision-making.

PubMed

Worthy, Darrell A; Byrne, Kaileigh A; Fields, Sherecce

2014-01-01

In two experiments we examined the role of emotion, specifically worry, anxiety, and mood, on prospection during decision-making. Worry is a particularly relevant emotion to study in the context of prospection because high levels of worry may make individuals more aversive toward the uncertainty associated with the prospect of obtaining future improvements in rewards or states. Thus, high levels of worry might lead to reduced prospection during decision-making and enhance preference for immediate over delayed rewards. In Experiment 1 participants performed a two-choice dynamic decision-making task where they were required to choose between one option (the decreasing option) which provided larger immediate rewards but declines in future states, and another option (the increasing option) which provided smaller immediate rewards but improvements in future states, making it the optimal choice. High levels of worry were associated with poorer performance in the task. Additionally, fits of a sophisticated reinforcement-learning model that incorporated both reward-based and state-based information suggested that individuals reporting high levels of worry gave greater weight to the immediate rewards they would receive on each trial than to the degree to which each action would lead to improvements in their future state. In Experiment 2 we found that high levels of worry were associated with greater delay discounting using a standard delay discounting task. Combined, the results suggest that high levels of worry are associated with reduced prospection during decision-making. We attribute these results to high worriers' aversion toward the greater uncertainty associated with attempting to improve future rewards than to maximize immediate reward. These results have implications for researchers interested in the effects of emotion on cognition, and suggest that emotion strongly affects the focus on temporal outcomes during decision-making.

Decision Making and Cancer

PubMed Central

Reyna, Valerie F.; Nelson, Wendy L.; Han, Paul K.; Pignone, Michael P.

2014-01-01

We review decision-making along the cancer continuum in the contemporary context of informed and shared decision making, in which patients are encouraged to take a more active role in their health care. We discuss challenges to achieving informed and shared decision making, including cognitive limitations and emotional factors, but argue that understanding the mechanisms of decision making offers hope for improving decision support. Theoretical approaches to decision making that explain cognition, emotion, and their interaction are described, including classical psychophysical approaches, dual-process approaches that focus on conflicts between emotion versus cognition (or reason), and modern integrative approaches such as fuzzy-trace theory. In contrast to the earlier emphasis on rote use of numerical detail, modern approaches emphasize understanding the bottom-line gist of options (which encompasses emotion and other influences on meaning) and retrieving relevant social and moral values to apply to those gist representations. Finally, research on interventions to support better decision making in clinical settings is reviewed, drawing out implications for future research on decision making and cancer. PMID:25730718

Praises & Nudges: A Case of District-Wide Change.

ERIC Educational Resources Information Center

Doyle, Richard; And Others

This paper describes the processes and outcomes experienced by the Marshalltown Community School District (Iowa) as it implemented a shared decision-making, school-improvement program. A district Shared Decision Making (SDM) Team and School Improvement Program (SIP) teams were trained to facilitate greater staff participation in the…

Game theory and neural basis of social decision making

PubMed Central

Lee, Daeyeol

2008-01-01

Decision making in a social group displays two unique features. First, humans and other animals routinely alter their behaviors in response to changes in their physical and social environment. As a result, the outcomes of decisions that depend on the behaviors of multiple decision makers are difficult to predict, and this requires highly adaptive decision-making strategies. Second, decision makers may have other-regarding preferences and therefore choose their actions to improve or reduce the well-beings of others. Recently, many neurobiological studies have exploited game theory to probe the neural basis of decision making, and found that these unique features of social decision making might be reflected in the functions of brain areas involved in reward evaluation and reinforcement learning. Molecular genetic studies have also begun to identify genetic mechanisms for personal traits related to reinforcement learning and complex social decision making, further illuminating the biological basis of social behavior. PMID:18368047

An entertainment-education colorectal cancer screening decision aid for African American patients: A randomized controlled trial.

PubMed

Hoffman, Aubri S; Lowenstein, Lisa M; Kamath, Geetanjali R; Housten, Ashley J; Leal, Viola B; Linder, Suzanne K; Jibaja-Weiss, Maria L; Raju, Gottumukkala S; Volk, Robert J

2017-04-15

Colorectal cancer screening rates for African American patients remain suboptimal. Patient decision aids designed with an entertainment-education approach have been shown to improve saliency and foster informed decision making. The purpose of this study was to assess whether an entertainment-education decision aid tailored for African American patients improved patients' decision making, attitudes, intentions, or colorectal cancer screening behavior. Eighty-nine participants were randomized to view 1) a patient decision aid video containing culturally tailored information about colorectal cancer screening options and theory-based support in decision making presented in an entertainment-education format or 2) an attention control video about hypertension that contained similarly detailed information. Participants met with their clinician and then completed follow-up questionnaires assessing their knowledge, decisional conflict, self-advocacy, attitudes, perceived social norms, and intentions. At 3 months, completion of screening was assessed by chart review. Viewing the culturally tailored decision aid significantly increased African American patients' knowledge of colorectal cancer screening recommendations and options. It also significantly reduced their decisional conflict and improved their self-advocacy. No significant differences were observed in participants' attitudes, norms, or intentions. At three months, 23% of all patients had completed a colonoscopy. Designing targeted, engaging patient decision aids for groups that receive suboptimal screening holds promise for improving patient decision making and self-advocacy. Additional research is warranted to investigate the effectiveness of such aids in clinical practices with suboptimal screening rates and on downstream behaviors (such as repeat testing). Cancer 2017;123:1401-1408. © 2016 American Cancer Society. © 2016 American Cancer Society.

Navigating the Decision Space: Shared Medical Decision Making as Distributed Cognition.

PubMed

Lippa, Katherine D; Feufel, Markus A; Robinson, F Eric; Shalin, Valerie L

2017-06-01

Despite increasing prominence, little is known about the cognitive processes underlying shared decision making. To investigate these processes, we conceptualize shared decision making as a form of distributed cognition. We introduce a Decision Space Model to identify physical and social influences on decision making. Using field observations and interviews, we demonstrate that patients and physicians in both acute and chronic care consider these influences when identifying the need for a decision, searching for decision parameters, making actionable decisions Based on the distribution of access to information and actions, we then identify four related patterns: physician dominated; physician-defined, patient-made; patient-defined, physician-made; and patient-dominated decisions. Results suggests that (a) decision making is necessarily distributed between physicians and patients, (b) differential access to information and action over time requires participants to transform a distributed task into a shared decision, and (c) adverse outcomes may result from failures to integrate physician and patient reasoning. Our analysis unifies disparate findings in the medical decision-making literature and has implications for improving care and medical training.

[Decision making in the elderly: which tools for its evaluation by the clinician?].

PubMed

Hommet, Caroline; Constans, Thierry; Atanasova, Boriana; Mondon, Karl

2010-09-01

Numerous decision-making situations occur in the activities of daily living. The consequences of the decision-making capacity disturbances may have a great impact on the patient's autonomy, financial management, and his or her reaction to a diagnosis as well as the ability to accept a therapeutic option or give informed consent. Decision-making is a complex and multi-dimensional process and brings into play attention, memory and executive functions, which are processed in the prefrontal cortex, particularly vulnerable in aging. A better comprehension of the mechanisms of decision-making, and of the resulting social consequences of their dysfunction may improve autonomy of the elderly. Unfortunately, we still lack appropriate tools to explore decision-making in routine practice.

Probabilistic Risk Assessment to Inform Decision Making: Frequently Asked Questions

EPA Pesticide Factsheets

General concepts and principles of Probabilistic Risk Assessment (PRA), describe how PRA can improve the bases of Agency decisions, and provide illustrations of how PRA has been used in risk estimation and in describing the uncertainty in decision making.

Genital surgery for disorders of sex development: implementing a shared decision-making approach.

PubMed

Karkazis, Katrina; Tamar-Mattis, Anne; Kon, Alexander A

2010-08-01

Ongoing controversy surrounds early genital surgery for children with disorders of sex development, making decisions about these procedures extraordinarily complex. Professional organizations have encouraged healthcare providers to adopt shared decision-making due to its broad potential to improve the decision-making process, perhaps most so when data are lacking, when there is no clear "best-choice" treatment, when decisions involve more than one choice, where each choice has both advantages and disadvantages, and where the ranking of options depends heavily on the decision-maker's values. We present a 6-step model for shared decision-making in decisions about genital surgery for disorders of sex development: (1) Set the stage and develop an appropriate team; (2) Establish preferences for information and roles in decision-making; (3) Perceive and address emotions; (4) Define concerns and values; (5) Identify options and present evidence; and (6) Share responsibility for making a decision. As long as controversy persists regarding surgery for DSD, an SDM process can facilitate the increased sharing of relevant information essential for making important health care decisions.

Barriers to and facilitators of implementing shared decision making and decision support in a paediatric hospital: A descriptive study

PubMed Central

Boland, Laura; McIsaac, Daniel I; Lawson, Margaret L

2016-01-01

OBJECTIVE: To explore multiple stakeholders’ perceived barriers to and facilitators of implementing shared decision making and decision support in a tertiary paediatric hospital. METHODS: An interpretive descriptive qualitative study was conducted using focus groups and interviews to examine senior hospital administrators’, clinicians’, parents’ and youths’ perceived barriers to and facilitators of shared decision making and decision support implementation. Data were analyzed using inductive thematic analysis. RESULTS: Fifty-seven stakeholders participated. Six barrier and facilitator themes emerged. The main barrier was gaps in stakeholders’ knowledge of shared decision making and decision support. Facilitators included compatibility between shared decision making and the hospital’s culture and ideal practices, perceptions of positive patient and family outcomes associated with shared decision making, and positive attitudes regarding shared decision making and decision support. However, youth attitudes regarding the necessity and usefulness of a decision support program were a barrier. Two themes were both a barrier and a facilitator. First, stakeholder groups were uncertain which clinical situations are suitable for shared decision making (eg, new diagnoses, chronic illnesses, complex decisions or urgent decisions). Second, the clinical process may be hindered if shared decision making and decision support decrease efficiency and workflow; however, shared decision making may reduce repeat visits and save time over the long term. CONCLUSIONS: Specific knowledge translation strategies that improve shared decision making knowledge and match specific barriers identified by each stakeholder group may be required to promote successful shared decision making and decision support implementation in the authors’ paediatric hospital. PMID:27398058

City-Level Energy Decision Making. Data Use in Energy Planning, Implementation, and Evaluation in U.S. Cities

DOE Office of Scientific and Technical Information (OSTI.GOV)

Aznar, Alexandra; Day, Megan; Doris, Elizabeth

2015-07-08

The Cities-LEAP technical report, City-Level Energy Decision Making: Data Use in Energy Planning, Implementation, and Evaluation in U.S. Cities, explores how a sample of cities incorporates data into making energy-related decisions. This report provides the foundation for forthcoming components of the Cities-LEAP project that will help cities improve energy decision making by mapping specific city energy or climate policies and actions to measurable impacts and results.

Understanding clinical and non-clinical decisions under uncertainty: a scenario-based survey.

PubMed

Simianu, Vlad V; Grounds, Margaret A; Joslyn, Susan L; LeClerc, Jared E; Ehlers, Anne P; Agrawal, Nidhi; Alfonso-Cristancho, Rafael; Flaxman, Abraham D; Flum, David R

2016-12-01

Prospect theory suggests that when faced with an uncertain outcome, people display loss aversion by preferring to risk a greater loss rather than incurring certain, lesser cost. Providing probability information improves decision making towards the economically optimal choice in these situations. Clinicians frequently make decisions when the outcome is uncertain, and loss aversion may influence choices. This study explores the extent to which prospect theory, loss aversion, and probability information in a non-clinical domain explains clinical decision making under uncertainty. Four hundred sixty two participants (n = 117 non-medical undergraduates, n = 113 medical students, n = 117 resident trainees, and n = 115 medical/surgical faculty) completed a three-part online task. First, participants completed an iced-road salting task using temperature forecasts with or without explicit probability information. Second, participants chose between less or more risk-averse ("defensive medicine") decisions in standardized scenarios. Last, participants chose between recommending therapy with certain outcomes or risking additional years gained or lost. In the road salting task, the mean expected value for decisions made by clinicians was better than for non-clinicians(-$1,022 vs -$1,061; <0.001). Probability information improved decision making for all participants, but non-clinicians improved more (mean improvement of $64 versus $33; p = 0.027). Mean defensive decisions decreased across training level (medical students 2.1 ± 0.9, residents 1.6 ± 0.8, faculty1.6 ± 1.1; p-trend < 0.001) and prospect-theory-concordant decisions increased (25.4%, 33.9%, and 40.7%;p-trend = 0.016). There was no relationship identified between road salting choices with defensive medicine and prospect-theory-concordant decisions. All participants made more economically-rational decisions when provided explicit probability information in a non-clinical domain. However, choices in the non-clinical domain were not related to prospect-theory concordant decision making and risk aversion tendencies in the clinical domain. Recognizing this discordance may be important when applying prospect theory to interventions aimed at improving clinical care.

Understanding the Harms and Benefits of Cancer Screening: A Model of Factors That Shape Informed Decision Making.

PubMed

Petrova, Dafina; Garcia-Retamero, Rocio; Cokely, Edward T

2015-10-01

Decisions about cancer screenings often involve the consideration of complex and counterintuitive evidence. We investigated psychological factors that promote the comprehension of benefits and harms associated with common cancer screenings and their influence on shared decision making. In experiment 1, 256 men received information about PSA-based prostate cancer screening. In experiment 2, 355 women received information about mammography-based breast cancer screening. In both studies, information about potential screening outcomes was provided in 1 of 3 formats: text, a fact box, or a visual aid (e.g., mortality with and without screening and rate of overdiagnosis). We modeled the interplay of comprehension, perceived risks and benefits, intention to participate in screening, and desire for shared decision making. Generally, visual aids were the most effective format, increasing comprehension by up to 18%. Improved comprehension was associated with 1) superior decision making (e.g., fewer intentions to participate in screening when it offered no benefit) and 2) more desire to share in decision making. However, comprehension of the evidence had a limited effect on experienced emotions, risk perceptions, and decision making among those participants who felt that the consequences of cancer were extremely severe. Even when information is counterintuitive and requires the integration of complex harms and benefits, user-friendly risk communications can facilitate comprehension, improve high-stakes decisions, and promote shared decision making. However, previous beliefs about the effectiveness of screening or strong fears about specific cancers may interfere with comprehension and informed decision making. © The Author(s) 2015.

Neural signatures of experience-based improvements in deterministic decision-making.

PubMed

Tremel, Joshua J; Laurent, Patryk A; Wolk, David A; Wheeler, Mark E; Fiez, Julie A

2016-12-15

Feedback about our choices is a crucial part of how we gather information and learn from our environment. It provides key information about decision experiences that can be used to optimize future choices. However, our understanding of the processes through which feedback translates into improved decision-making is lacking. Using neuroimaging (fMRI) and cognitive models of decision-making and learning, we examined the influence of feedback on multiple aspects of decision processes across learning. Subjects learned correct choices to a set of 50 word pairs across eight repetitions of a concurrent discrimination task. Behavioral measures were then analyzed with both a drift-diffusion model and a reinforcement learning model. Parameter values from each were then used as fMRI regressors to identify regions whose activity fluctuates with specific cognitive processes described by the models. The patterns of intersecting neural effects across models support two main inferences about the influence of feedback on decision-making. First, frontal, anterior insular, fusiform, and caudate nucleus regions behave like performance monitors, reflecting errors in performance predictions that signal the need for changes in control over decision-making. Second, temporoparietal, supplementary motor, and putamen regions behave like mnemonic storage sites, reflecting differences in learned item values that inform optimal decision choices. As information about optimal choices is accrued, these neural systems dynamically adjust, likely shifting the burden of decision processing from controlled performance monitoring to bottom-up, stimulus-driven choice selection. Collectively, the results provide a detailed perspective on the fundamental ability to use past experiences to improve future decisions. Copyright © 2016 Elsevier B.V. All rights reserved.

Neural signatures of experience-based improvements in deterministic decision-making

PubMed Central

Tremel, Joshua J.; Laurent, Patryk A.; Wolk, David A.; Wheeler, Mark E.; Fiez, Julie A.

2016-01-01

Feedback about our choices is a crucial part of how we gather information and learn from our environment. It provides key information about decision experiences that can be used to optimize future choices. However, our understanding of the processes through which feedback translates into improved decision-making is lacking. Using neuroimaging (fMRI) and cognitive models of decision-making and learning, we examined the influence of feedback on multiple aspects of decision processes across learning. Subjects learned correct choices to a set of 50 word pairs across eight repetitions of a concurrent discrimination task. Behavioral measures were then analyzed with both a drift-diffusion model and a reinforcement learning model. Parameter values from each were then used as fMRI regressors to identify regions whose activity fluctuates with specific cognitive processes described by the models. The patterns of intersecting neural effects across models support two main inferences about the influence of feedback on decision-making. First, frontal, anterior insular, fusiform, and caudate nucleus regions behave like performance monitors, reflecting errors in performance predictions that signal the need for changes in control over decision-making. Second, temporoparietal, supplementary motor, and putamen regions behave like mnemonic storage sites, reflecting differences in learned item values that inform optimal decision choices. As information about optimal choices is accrued, these neural systems dynamically adjust, likely shifting the burden of decision processing from controlled performance monitoring to bottom-up, stimulus-driven choice selection. Collectively, the results provide a detailed perspective on the fundamental ability to use past experiences to improve future decisions. PMID:27523644

Improving the use of health data for health system strengthening.

PubMed

Nutley, Tara; Reynolds, Heidi W

2013-02-13

Good quality and timely data from health information systems are the foundation of all health systems. However, too often data sit in reports, on shelves or in databases and are not sufficiently utilised in policy and program development, improvement, strategic planning and advocacy. Without specific interventions aimed at improving the use of data produced by information systems, health systems will never fully be able to meet the needs of the populations they serve. To employ a logic model to describe a pathway of how specific activities and interventions can strengthen the use of health data in decision making to ultimately strengthen the health system. A logic model was developed to provide a practical strategy for developing, monitoring and evaluating interventions to strengthen the use of data in decision making. The model draws on the collective strengths and similarities of previous work and adds to those previous works by making specific recommendations about interventions and activities that are most proximate to affect the use of data in decision making. The model provides an organizing framework for how interventions and activities work to strengthen the systematic demand, synthesis, review, and use of data. The logic model and guidance are presented to facilitate its widespread use and to enable improved data-informed decision making in program review and planning, advocacy, policy development. Real world examples from the literature support the feasible application of the activities outlined in the model. The logic model provides specific and comprehensive guidance to improve data demand and use. It can be used to design, monitor and evaluate interventions, and to improve demand for, and use of, data in decision making. As more interventions are implemented to improve use of health data, those efforts need to be evaluated.

Parent-Child Engagement in Decision Making and the Development of Adolescent Affective Decision Capacity and Binge Drinking

PubMed Central

Xiao, Lin; Bechara, Antoine; Palmer, Paula H.; Trinidad, Dennis R.; Wei, Yonglan; Jia, Yong; Johnson, C. Anderson

2010-01-01

The goal of this study was to investigate how parents’ engagement of their child in everyday decision-making influenced their adolescent’s development on two neuropsychological functions, namely, affective decision-making and working memory, and its effect on adolescent binge-drinking behavior. We conducted a longitudinal study of 192 Chinese adolescents. In 10th grade, the adolescents were tested for their affective decision-making ability using the Iowa Gambling Task (IGT) and working memory capacity using the Self-ordered Pointing Test (SOPT). Questionnaires were used to assess perceived parent-child engagement in decision-making, academic performance and drinking behavior. At one-year follow-up, the same neuropsychological tasks and questionnaires were repeated. Results indicate that working memory and academic performance were uninfluenced by parent-child engagement in decision-making. However, compared to adolescents whose parents made solitary decisions for them, adolescents engaged in everyday decision-making showed significant improvement on affective decision capacity and significantly less binge-drinking one year later. These findings suggest that parental engagement of children in everyday decision-making might foster the development of neurocognitive functioning relative to affective decision-making and reduce adolescent substance use behaviors. PMID:21804682

Using Data-Based Inquiry and Decision Making To Improve Instruction.

ERIC Educational Resources Information Center

Feldman, Jay; Tung, Rosann

2001-01-01

Discusses a study of six schools using data-based inquiry and decision-making process to improve instruction. Findings identified two conditions to support successful implementation of the process: administrative support, especially in providing teachers learning time, and teacher leadership to encourage and support colleagues to own the process.…

Effectiveness of Drug Education Components: Knowledge, Attitudes, Decision Making, Motivations, and Self-Esteem.

ERIC Educational Resources Information Center

Roberts, Scott W.

1995-01-01

This study examined the effectiveness of school-based drug education in affecting knowledge, attitudes, decision making, motivation, and self-esteem. Pre- and postintervention surveys of fourth through eighth graders indicated that self-esteem did not improve significantly. Knowledge and attitude scores improved significantly, with a positive…

Socio-Scientific Decision Making in the Science Classroom

ERIC Educational Resources Information Center

Siribunnam, Siripun; Nuangchalerm, Prasart; Jansawang, Natchanok

2014-01-01

The learning ability of students in science is improved by socio-scientific decision-making, an important activity that improves a student's scientific literacy, conceptual understanding, scientific inquiry, attitudes, and social values. The socio-scientific issues must be discussed during science classroom activities in the current state of 21st…

The Defense Industrial Base: Prescription for a Psychosomatic Ailment

DTIC Science & Technology

1983-08-01

The Decision- Making Process ------------------------- 65 Notes ---------------------------------------- FIGURE 4-1. The Decision [laking Process...the strategy and tactics process to make certain that we can attain out national security objectives. (IFP is also known as mobilization planning or...decision- making model that could improve the capacity and capability-of the military-industrial complex, thereby increasing the probability of success

A Middle School Principal's and Teachers' Perceptions of Leadership Practices in Data-Driven Decision Making

ERIC Educational Resources Information Center

Godreau Cimma, Kelly L.

2011-01-01

The purpose of this qualitative case study was to describe one Connecticut middle school's voluntary implementation of a data-driven decision making process in order to improve student academic performance. Data-driven decision making is a component of Connecticut's accountability system to assist schools in meeting the requirements of the No…

77 FR 40911 - Solicitation for a Cooperative Agreement-Technical Assistance Site Management in NIC's Evidence...

Federal Register 2010, 2011, 2012, 2013, 2014

2012-07-11

... policymaking bodies to collectively improve the effectiveness and capacity of their decision making related to...-based decision making in local criminal justice systems. The goal of Phase I of the initiative was to... principle product of Phase I of this initiative was the Evidence-Based Decision Making Framework in Local...

Incorporating affective bias in models of human decision making

NASA Technical Reports Server (NTRS)

Nygren, Thomas E.

1991-01-01

Research on human decision making has traditionally focused on how people actually make decisions, how good their decisions are, and how their decisions can be improved. Recent research suggests that this model is inadequate. Affective as well as cognitive components drive the way information about relevant outcomes and events is perceived, integrated, and used in the decision making process. The affective components include how the individual frames outcomes as good or bad, whether the individual anticipates regret in a decision situation, the affective mood state of the individual, and the psychological stress level anticipated or experienced in the decision situation. A focus of the current work has been to propose empirical studies that will attempt to examine in more detail the relationships between the latter two critical affective influences (mood state and stress) on decision making behavior.

Combined Goal Management Training and Mindfulness meditation improve executive functions and decision-making performance in abstinent polysubstance abusers.

PubMed

Alfonso, José P; Caracuel, Alfonso; Delgado-Pastor, Luis C; Verdejo-García, Antonio

2011-08-01

The clinical relevance of neuropsychological deficits in addicted individuals has fostered interest in treatment strategies aimed to effectively target executive and decision-making dysfunction. One of the best-validated interventions for executive dysfunction is Goal Management Training (GMT) (Robertson et al., 2005), an interactive program aimed at improving participants' organization and ability to achieve goals. Mindfulness-based meditation can complement GMT training in order to improve attentional scanning and "reading" of emotional signals involved in adaptive decision-making. In this pilot study we investigated the efficacy of a 7-week program including GMT+Mindfulness (GMT+MF), as compared to standard treatment alone (STx), for reducing executive and decision-making deficits in an outpatient sample of alcohol and polysubstance abusers. Eighteen participants were enrolled in the GMT+MF group, whereas 16 participants formed the STx group; both groups were matched for relevant demographic and clinical variables, and pre-treatment degree of executive dysfunction. Results showed that the individuals enrolled in GMT+MF significantly improved their performance on neuropsychological measures of working memory (Letter Number Sequencing), response inhibition (Stroop) and decision-making (Iowa Gambling Task) after the treatment; whereas individuals enrolled in STx alone failed to show significant changes. These preliminary results indicate that the GMT+MF intervention may be effective in reducing executive and decision-making deficits in polysubstance abusers, and they support future randomized controlled studies aimed at examining the extent to which these improvements may generalize to every day functioning and may affect the capacity of addicted individuals to achieve and maintain abstinence. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Leveraging certified nursing assistant documentation and knowledge to improve clinical decision making: the on-time quality improvement program to prevent pressure ulcers.

PubMed

Sharkey, Siobhan; Hudak, Sandra; Horn, Susan D; Spector, William

2011-04-01

The goal of this article was to enhance understanding of the On-Time Quality Improvement for Long-term Care Program, a practical approach to embed health information technology into quality improvement in nursing homes that leverages certified nursing assistant documentation and knowledge, supports frontline clinical decision making, and establishes proactive intervention for pressure ulcer prevention.

Composite collective decision-making.

PubMed

Czaczkes, Tomer J; Czaczkes, Benjamin; Iglhaut, Carolin; Heinze, Jürgen

2015-06-22

Individual animals are adept at making decisions and have cognitive abilities, such as memory, which allow them to hone their decisions. Social animals can also share information. This allows social animals to make adaptive group-level decisions. Both individual and collective decision-making systems also have drawbacks and limitations, and while both are well studied, the interaction between them is still poorly understood. Here, we study how individual and collective decision-making interact during ant foraging. We first gathered empirical data on memory-based foraging persistence in the ant Lasius niger. We used these data to create an agent-based model where ants may use social information (trail pheromones), private information (memories) or both to make foraging decisions. The combined use of social and private information by individuals results in greater efficiency at the group level than when either information source was used alone. The modelled ants couple consensus decision-making, allowing them to quickly exploit high-quality food sources, and combined decision-making, allowing different individuals to specialize in exploiting different resource patches. Such a composite collective decision-making system reaps the benefits of both its constituent parts. Exploiting such insights into composite collective decision-making may lead to improved decision-making algorithms. © 2015 The Author(s) Published by the Royal Society. All rights reserved.

Do educational interventions improve nurses' clinical decision making and judgement? A systematic review.

PubMed

Thompson, Carl; Stapley, Sally

2011-07-01

Despite the growing popularity of decision making in nursing curricula, the effectiveness of educational interventions to improve nursing judgement and decision making is unknown. We sought to synthesise and summarise the comparative evidence for educational interventions to improve nursing judgements and clinical decisions. A systematic review. Electronic databases: Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, CINAHL and PsycINFO, Social Sciences Citation Index, OpenSIGLE conference proceedings and hand searching nursing journals. Studies published since 1960, reporting any educational intervention that aimed to improve nurses' clinical judgements or decision making were included. Studies were assessed for relevance and quality. Data extracted included study design; educational setting; the nature of participants; whether the study was concerned with the clinical application of skills or the application of theory; the type of decision targeted by the intervention (e.g. diagnostic reasoning) and whether the evaluation of the intervention focused on efficacy or effectiveness. A narrative approach to study synthesis was used due to heterogeneity in interventions, study samples, outcomes and settings and incomplete reporting of effect sizes. From 5262 initial citations 24 studies were included in the review. A variety of educational approaches were reported. Study quality and content reporting was generally poor. Pedagogical theories were widely used but use of decision theory (with the exception of subjective expected utility theory implicit in decision analysis) was rare. The effectiveness and efficacy of interventions was mixed. Educational interventions to improve nurses' judgements and decisions are complex and the evidence from comparative studies does little to reduce the uncertainty about 'what works'. Nurse educators need to pay attention to decision, as well as pedagogical, theory in the design of interventions. Study design and reporting requires improvement to maximise the information contained in reports of educational interventions. Copyright © 2011 Elsevier Ltd. All rights reserved.

Health technology funding decision-making processes around the world: the same, yet different.

PubMed

Stafinski, Tania; Menon, Devidas; Philippon, Donald J; McCabe, Christopher

2011-06-01

All healthcare systems routinely make resource allocation decisions that trade off potential health gains to different patient populations. However, when such trade-offs relate to the introduction of new, promising health technologies, perceived 'winners' and 'losers' are more apparent. In recent years, public scrutiny over such decisions has intensified, raising the need to better understand how they are currently made and how they might be improved. The objective of this paper is to critically review and compare current processes for making health technology funding decisions at the regional, state/provincial and national level in 20 countries. A comprehensive search for published, peer-reviewed and grey literature describing actual national, state/provincial and regional/institutional technology decision-making processes was conducted. Information was extracted by two independent reviewers and tabulated to facilitate qualitative comparative analyses. To identify strengths and weaknesses of processes identified, websites of corresponding organizations were searched for commissioned reviews/evaluations, which were subsequently analysed using standard qualitative methods. A total of 21 national, four provincial/state and six regional/institutional-level processes were found. Although information on each one varied, they could be grouped into four sequential categories: (i) identification of the decision problem; (ii) information inputs; (iii) elements of the decision-making process; and (iv) public accountability and decision implementation. While information requirements of all processes appeared substantial and decision-making factors comprehensive, the way in which they were utilized was often unclear, as were approaches used to incorporate social values or equity arguments into decisions. A comprehensive inventory of approaches to implementing the four main components of all technology funding decision-making processes was compiled, from which areas for future work or research aimed at improving the acceptability of decisions were identified. They include the explication of decision criteria and social values underpinning processes.

A Synthesis Of Knowledge About Caregiver Decision Making Finds Gaps In Support For Those Who Care For Aging Loved Ones.

PubMed

Garvelink, Mirjam M; Ngangue, Patrice A G; Adekpedjou, Rheda; Diouf, Ndeye T; Goh, Larissa; Blair, Louisa; Légaré, France

2016-04-01

We conducted a mixed-methods knowledge synthesis to assess the effectiveness of interventions to improve caregivers' involvement in decision making with seniors, and to describe caregivers' experiences of decision making in the absence of interventions. We analyzed forty-nine qualitative, fourteen quantitative, and three mixed-methods studies. The qualitative studies indicated that caregivers had unmet needs for information, discussions of values and needs, and decision support, which led to negative sentiments after decision making. Our results indicate that there have been insufficient quantitative evaluations of interventions to involve caregivers in decision making with seniors and that the evaluations that do exist found few clinically significant effects. Elements of usual care that received positive evaluations were the availability of a decision coach and a supportive decision-making environment. Additional rigorously evaluated interventions are needed to help caregivers be more involved in decision making with seniors. Project HOPE—The People-to-People Health Foundation, Inc.

A framework for designing and analyzing binary decision-making strategies in cellular systems†

PubMed Central

Porter, Joshua R.; Andrews, Burton W.; Iglesias, Pablo A.

2015-01-01

Cells make many binary (all-or-nothing) decisions based on noisy signals gathered from their environment and processed through noisy decision-making pathways. Reducing the effect of noise to improve the fidelity of decision-making comes at the expense of increased complexity, creating a tradeoff between performance and metabolic cost. We present a framework based on rate distortion theory, a branch of information theory, to quantify this tradeoff and design binary decision-making strategies that balance low cost and accuracy in optimal ways. With this framework, we show that several observed behaviors of binary decision-making systems, including random strategies, hysteresis, and irreversibility, are optimal in an information-theoretic sense for various situations. This framework can also be used to quantify the goals around which a decision-making system is optimized and to evaluate the optimality of cellular decision-making systems by a fundamental information-theoretic criterion. As proof of concept, we use the framework to quantify the goals of the externally triggered apoptosis pathway. PMID:22370552

New approaches for real time decision support systems

NASA Technical Reports Server (NTRS)

Hair, D. Charles; Pickslay, Kent

1994-01-01

NCCOSC RDT&E Division (NRaD) is conducting research into ways of improving decision support systems (DSS) that are used in tactical Navy decision making situations. The research has focused on the incorporation of findings about naturalistic decision-making processes into the design of the DSS. As part of that research, two computer tools were developed that model the two primary naturalistic decision-making strategies used by Navy experts in tactical settings. Current work is exploring how best to incorporate the information produced by those tools into an existing simulation of current Navy decision support systems. This work has implications for any applications involving the need to make decisions under time constraints, based on incomplete or ambiguous data.

Working in partnership: the application of shared decision-making to health visitor practice.

PubMed

Astbury, Ruth; Shepherd, Ashley; Cheyne, Helen

2017-01-01

To explore the processes that support shared decision-making when health visitors and parents are creating plans to improve the well-being of babies and children. Worldwide, there is a focus on promoting children's well-being to enhance the population health. Within the United Kingdom, health visitors have a key responsibility for working in partnership with parents to support this agenda. Despite evidence that the application of 'shared decision-making' frameworks can increase patient participation, improve patient satisfaction and improve health outcomes, there is limited research linking shared decision-making with health visitor practice. A qualitative, descriptive study. The study was undertaken in two phases: in Phase 1, data were collected by audio recording two health visitor-parent decision-making conversations, in the absence of the researcher, where decisions around planning for a baby or child were being made as part of usual care, and then the participants' experiences were sought through individual questionnaires. In Phase 2, semistructured interviews were conducted with nine health visitors and nine parents in relation to their recent experiences of planning care. Evidence of supportive processes included having a shared understanding around the issue needing to be addressed; being able to identify interventions that were accessible for the family; engaging in decision-making through deep, meaningful conversations using sensitive and responsive approaches; and establishing positive relationships between health visitors and parents, significant others within the family and other professionals. Despite evidence of strong, trusting relationships between parents and health visitors, there were times when shared decision-making was unable to take place due to the absence of supportive processes. Health visitors are aware that planning interventions with parents can be complex. These findings indicate the value of using a shared decision-making framework to structure planning, as application of a framework identified the processes that support a collaborative approach in practice. © 2016 John Wiley & Sons Ltd.

Classifying clinical decision making: interpreting nursing intuition, heuristics and medical diagnosis.

PubMed

Buckingham, C D; Adams, A

2000-10-01

This is the second of two linked papers exploring decision making in nursing. The first paper, 'Classifying clinical decision making: a unifying approach' investigated difficulties with applying a range of decision-making theories to nursing practice. This is due to the diversity of terminology and theoretical concepts used, which militate against nurses being able to compare the outcomes of decisions analysed within different frameworks. It is therefore problematic for nurses to assess how good their decisions are, and where improvements can be made. However, despite the range of nomenclature, it was argued that there are underlying similarities between all theories of decision processes and that these should be exposed through integration within a single explanatory framework. A proposed solution was to use a general model of psychological classification to clarify and compare terms, concepts and processes identified across the different theories. The unifying framework of classification was described and this paper operationalizes it to demonstrate how different approaches to clinical decision making can be re-interpreted as classification behaviour. Particular attention is focused on classification in nursing, and on re-evaluating heuristic reasoning, which has been particularly prone to theoretical and terminological confusion. Demonstrating similarities in how different disciplines make decisions should promote improved multidisciplinary collaboration and a weakening of clinical elitism, thereby enhancing organizational effectiveness in health care and nurses' professional status. This is particularly important as nurses' roles continue to expand to embrace elements of managerial, medical and therapeutic work. Analysing nurses' decisions as classification behaviour will also enhance clinical effectiveness, and assist in making nurses' expertise more visible. In addition, the classification framework explodes the myth that intuition, traditionally associated with nurses' decision making, is less rational and scientific than other approaches.

Making Debris Avoidance Decisions for ESMO's EOS Mission Set

NASA Technical Reports Server (NTRS)

Mantziaras, Dimitrios

2016-01-01

The presentation will cover the aspects of making debris risk decisions from the NASA Mission Director's perspective, specifically for NASA Earth Science Mission Operations (ESMO) Earth Observing System (EOS) mission set. ESMO has been involved in analyzing potential debris risk conjunctions with secondary objects since the inception of this discipline. Through the cumulated years of experience and continued exposure to various debris scenarios, ESMO's understanding of the problem and process to deal with this issue has evolved. The presentation will describe the evolution of the ESMO process, specifically as it relates to the maneuver execution and spacecraft risk management decision process. It will briefly cover the original Drag Make-Up Maneuver, several day, methodical manually intensive, ramp up waive off approach, to the present day more automated, pre-canned onboard command, tools based approach. The presentation will also cover the key information needed to make debris decisions and challenges in doing so while still trying to meet science goals, constellation constraints and manage resources. A slide or two at the end of the presentation, will be devoted to discussing what further improvements could be helpful to improve decision making and future process improvement plans challenges.

Distributed Cognition in Cancer Treatment Decision Making: An Application of the DECIDE Decision-Making Styles Typology.

PubMed

Krieger, Janice L; Krok-Schoen, Jessica L; Dailey, Phokeng M; Palmer-Wackerly, Angela L; Schoenberg, Nancy; Paskett, Electra D; Dignan, Mark

2017-07-01

Distributed cognition occurs when cognitive and affective schemas are shared between two or more people during interpersonal discussion. Although extant research focuses on distributed cognition in decision making between health care providers and patients, studies show that caregivers are also highly influential in the treatment decisions of patients. However, there are little empirical data describing how and when families exert influence. The current article addresses this gap by examining decisional support in the context of cancer randomized clinical trial (RCT) decision making. Data are drawn from in-depth interviews with rural, Appalachian cancer patients ( N = 46). Analysis of transcript data yielded empirical support for four distinct models of health decision making. The implications of these findings for developing interventions to improve the quality of treatment decision making and overall well-being are discussed.

What is known about parents' treatment decisions? A narrative review of pediatric decision making.

PubMed

Lipstein, Ellen A; Brinkman, William B; Britto, Maria T

2012-01-01

With the increasing complexity of decisions in pediatric medicine, there is a growing need to understand the pediatric decision-making process. To conduct a narrative review of the current research on parent decision making about pediatric treatments and identify areas in need of further investigation. Articles presenting original research on parent decision making were identified from MEDLINE (1966-6/2011), using the terms "decision making," "parent," and "child." We included papers focused on treatment decisions but excluded those focused on information disclosure to children, vaccination, and research participation decisions. We found 55 papers describing 52 distinct studies, the majority being descriptive, qualitative studies of the decision-making process, with very limited assessment of decision outcomes. Although parents' preferences for degree of participation in pediatric decision making vary, most are interested in sharing the decision with the provider. In addition to the provider, parents are influenced in their decision making by changes in their child's health status, other community members, prior knowledge, and personal factors, such as emotions and faith. Parents struggle to balance these influences as well as to know when to include their child in decision making. Current research demonstrates a diversity of influences on parent decision making and parent decision preferences; however, little is known about decision outcomes or interventions to improve outcomes. Further investigation, using prospective methods, is needed in order to understand how to support parents through the difficult treatment decisions.

Adolescent Sexual Decision-Making: An Integrative Review.

PubMed

Hulton, Linda J.

2001-10-03

PURPOSE: The purpose of this integrative review was to summarize the present literature to identify factors associated with adolescent sexual decision-making. Thirty-eight salient research studies were selected as a basis of this review from the databases of Medline, CINAHL, and Psychinfo using the Cooper methodology. CONCLUSIONS: Two categories of decision-making were identified: 1) The research on factors related to the decisions that adolescents make to become sexually active or to abstain from sexual activity; 2) The research on factors related to contraceptive decision-making. The most consistent findings were that the factors of gender differences, cognitive development, perception of benefits, parental influences, social influences, and sexual knowledge were important variables in the decision-making processes of adolescents. IMPLICATIONS: Practice implications for nursing suggest that clinicians should assess adolescent sexual decision-making in greater detail and address the social and psychological context in which sexual experiences occur. Nurses must be aware of the differences between adolescent and adult decision-making processes and incorporate knowledge of growth and development into intervention strategies. Moreover, to the degree that adolescent sexual decision-making proves to be less than rational, interventions designed to improve competent sexual decision-making are needed.

Decision-making impairment in anorexia nervosa: New insights into the role of age and decision-making style.

PubMed

Giannunzio, Valeria; Degortes, Daniela; Tenconi, Elena; Collantoni, Enrico; Solmi, Marco; Santonastaso, Paolo; Favaro, Angela

2018-07-01

Patients with anorexia nervosa (AN) often report difficulties in decision making, which may interfere with treatment. The aim of this study was to investigate decision making in a large sample of adolescent and adult patients with AN, by using the Iowa gambling task. Participants were 611 female individuals (310 patients and 301 controls) who underwent neuropsychological and clinical assessment. Significantly poorer decision-making performance was observed in adult patients, whereas no difference emerged between affected and nonaffected adolescents. Both adolescent and adult patients were characterized by trends for higher levels of attention to losses in comparison with healthy controls. Although healthy adult women exhibited better decision-making performance than healthy adolescents, in AN, there was no improvement of decision making with age. A cluster analysis identified 2 different styles of decision making in both patients and controls: a conservative style and an impulsive style. Our study provides evidence of dysfunctional decision making in adult patients with AN and reveals an association between poor decision making and excessive punishment sensitivity in AN. The clinical and scientific implications of these findings merit further exploration. Copyright © 2018 John Wiley & Sons, Ltd and Eating Disorders Association.

Does empowering resident families or nursing home employees in decision making improve service quality?

PubMed

Hamann, Darla J

2014-08-01

This research examines how the empowerment of residents' family members and nursing home employees in managerial decision making is related to service quality. The study was conducted using data from 33 nursing homes in the United States. Surveys were administered to more than 1,000 employees on-site and mailed to the primary-contact family member of each resident. The resulting multilevel data were analyzed using hierarchical linear modeling. The empowerment of families in decision making was positively associated with their perceptions of service quality. The empowerment of nursing staff in decision making was more strongly related to service quality than the empowerment of nonnursing staff. Among nursing staff, the empowerment of nursing assistants improved service quality more than the empowerment of nurses. © The Author(s) 2013.

Training in Decision-making Strategies: An approach to enhance students' competence to deal with socio-scientific issues

NASA Astrophysics Data System (ADS)

Gresch, Helge; Hasselhorn, Marcus; Bögeholz, Susanne

2013-10-01

Dealing with socio-scientific issues in science classes enables students to participate productively in controversial discussions concerning ethical topics, such as sustainable development. In this respect, well-structured decision-making processes are essential for elaborate reasoning. To foster decision-making competence, a computer-based programme was developed that trains secondary school students (grades 11-13) in decision-making strategies. The main research question is: does training students to use these strategies foster decision-making competence? In addition, the influence of meta-decision aids was examined. Students conducted a task analysis to select an appropriate strategy prior to the decision-making process. Hence, the second research question is: does combining decision-making training with a task analysis enhance decision-making competence at a higher rate? To answer these questions, 386 students were tested in a pre-post-follow-up control-group design that included two training groups (decision-making strategies/decision-making strategies combined with a task analysis) and a control group (decision-making with additional ecological information instead of strategic training). An open-ended questionnaire was used to assess decision-making competence in situations related to sustainable development. The decision-making training led to a significant improvement in the post-test and the follow-up, which was administered three months after the training. Long-term effects on the quality of the students' decisions were evident for both training groups. Gains in competence when reflecting upon the decision-making processes of others were found, to a lesser extent, in the training group that received the additional meta-decision training. In conclusion, training in decision-making strategies is a promising approach to deal with socio-scientific issues related to sustainable development.

Exploring Data-Driven Decision-Making in the Field: How Faculty Use Data and Other Forms of Information to Guide Instructional Decision-Making. WCER Working Paper No. 2014-3

ERIC Educational Resources Information Center

Hora, Matthew T.; Bouwma-Gearhart, Jana; Park, Hyoung Joon

2014-01-01

A defining characteristic of current U.S. educational policy is the use of data to inform decisions about resource allocation, teacher hiring, and curriculum and instruction. Perhaps the biggest challenge to data-driven decision making (DDDM) is that data use alone does not automatically result in improved teaching and learning. Research indicates…

Improving accountability in vaccine decision-making.

PubMed

Timmis, James Kenneth; Black, Steven; Rappuoli, Rino

2017-11-01

Healthcare decisions, in particular those affecting entire populations, should be evidence-based and taken by decision-makers sharing broad alignment with affected stakeholders. However, criteria, priorities and procedures for decision-making are sometimes non-transparent, frequently vary considerably across equivalent decision-bodies, do not always consider the broader benefits of new health-measures, and therefore do not necessarily adequately represent the relevant stakeholder-spectrum. Areas covered: To address these issues in the context of the evaluation of new vaccines, we have proposed a first baseline set of core evaluation criteria, primarily selected by members of the vaccine research community, and suggested their implementation in vaccine evaluation procedures. In this communication, we review the consequences and utility of stakeholder-centered core considerations to increase transparency in and accountability of decision-making procedures, in general, and of the benefits gained by their inclusion in Multi-Criteria-Decision-Analysis tools, exemplified by SMART Vaccines, specifically. Expert commentary: To increase effectiveness and comparability of health decision outcomes, decision procedures should be properly standardized across equivalent (national) decision bodies. To this end, including stakeholder-centered criteria in decision procedures would significantly increase their transparency and accountability, support international capacity building to improve health, and reduce societal costs and inequity resulting from suboptimal health decision-making.

Shared Decision-Making in the Management of Congenital Vascular Malformations.

PubMed

Horbach, Sophie E R; Ubbink, Dirk T; Stubenrouch, Fabienne E; Koelemay, Mark J W; van der Vleuten, Carine J M; Verhoeven, Bas H; Reekers, Jim A; Schultze Kool, Leo J; van der Horst, Chantal M A M

2017-03-01

In shared decision-making, clinicians and patients arrive at a joint treatment decision, by incorporating best available evidence and the patients' personal values and preferences. Little is known about the role of shared decision-making in managing patients with congenital vascular malformations, for which preference-sensitive decision-making seems obvious. The authors investigated preferences regarding decision-making and current shared decision-making behavior during physician-patient encounters. In two Dutch university hospitals, adults and children with congenital vascular malformations facing a treatment-related decision were enrolled. Before the consultation, patients (or parents of children) expressed their preference regarding decision-making (Control Preferences Scale). Afterward, participants completed shared decision-making-specific questionnaires (nine-item Shared Decision-Making Questionnaire, CollaboRATE, and satisfaction), and physicians completed the Shared Decision-Making Questionnaire-Physician questionnaire. Consultations were audiotaped and patient involvement was scored by two independent researchers using the five-item Observing Patient Involvement instrument. All questionnaire results were expressed on a scale of 0 to 100 (optimum shared decision-making). Fifty-five participants (24 parents and 31 adult patients) were included. Two-thirds preferred the shared decision-making approach (Control Preferences Scale). Objective five-item Observing Patient Involvement scores were low (mean ± SD, 31 ± 15), whereas patient and physician Shared Decision-Making Questionnaire scores were high, with means of 68 ± 18 and 68 ± 19, respectively. The median CollaboRATE score was 93. There was no clear relationship between shared decision-making and satisfaction scores. Although adults and parents of children with vascular malformations express a strong desire for shared decision-making, objective shared decision-making behavior is still lacking, most likely because of poor awareness of the shared decision-making concept among patients, parents, and physicians. To improve shared decision-making practice, targeted interventions (e.g., decision aids, staff training) are essential.

Cognitive continuum theory in interprofessional healthcare: A critical analysis.

PubMed

Parker-Tomlin, Michelle; Boschen, Mark; Morrissey, Shirley; Glendon, Ian

2017-07-01

Effective clinical decision making is among the most important skills required by healthcare practitioners. Making sound decisions while working collaboratively in interprofessional healthcare teams is essential for modern healthcare planning, successful interventions, and patient care. The cognitive continuum theory (CCT) is a model of human judgement and decision making aimed at orienting decision-making processes. CCT has the potential to improve both individual health practitioner, and interprofessional team understanding about, and communication of, clinical decision-making processes. Examination of the current application of CCT indicates that this theory could strengthen interprofessional team clinical decision making (CDM). However, further research is needed before extending the use of this theoretical framework to a wider range of interprofessional healthcare team processes. Implications for research, education, practice, and policy are addressed.

Patient and provider perceptions of decision making about use of epidural analgesia during childbirth: a thematic analysis.

PubMed

Goldberg, Holly Bianca; Shorten, Allison

2014-01-01

This study examines the nature of differences in perceptions of decision making between patients and providers about use of epidural analgesia during labor. Thematic analysis was used to identify patterns in written survey responses from 14 patients, 13 labor nurses, and 7 obstetrician-gynecologists. Results revealed patients attempted to place themselves in an informed role in decision making and sought respect for their decisions. Some providers demonstrated paternalism and a tendency to steer patients in the direction of their own preferences. Nurses observed various pressures on decision making, reinforcing the importance of patients being supported to make an informed choice. Differences in perceptions suggest need for improvement in communication and shared decision-making practices related to epidural analgesia use in labor.

78 FR 2961 - Proposed Collection; Comment Request

Federal Register 2010, 2011, 2012, 2013, 2014

2013-01-15

... inform or improve consumer financial decision-making. The Bureau expects to collect qualitative data on... education and empowerment programs, leading to better financial decision-making outcomes for adult consumers... financial decisions. DATES: Written comments are encouraged and must be received on or before March 18, 2013...

Determinants of judgment and decision making quality: the interplay between information processing style and situational factors

PubMed Central

Ayal, Shahar; Rusou, Zohar; Zakay, Dan; Hochman, Guy

2015-01-01

A framework is presented to better characterize the role of individual differences in information processing style and their interplay with contextual factors in determining decision making quality. In Experiment 1, we show that individual differences in information processing style are flexible and can be modified by situational factors. Specifically, a situational manipulation that induced an analytical mode of thought improved decision quality. In Experiment 2, we show that this improvement in decision quality is highly contingent on the compatibility between the dominant thinking mode and the nature of the task. That is, encouraging an intuitive mode of thought led to better performance on an intuitive task but hampered performance on an analytical task. The reverse pattern was obtained when an analytical mode of thought was encouraged. We discuss the implications of these results for the assessment of decision making competence, and suggest practical directions to help individuals better adjust their information processing style to the situation at hand and make optimal decisions. PMID:26284011

Determinants of judgment and decision making quality: the interplay between information processing style and situational factors.

PubMed

Ayal, Shahar; Rusou, Zohar; Zakay, Dan; Hochman, Guy

2015-01-01

A framework is presented to better characterize the role of individual differences in information processing style and their interplay with contextual factors in determining decision making quality. In Experiment 1, we show that individual differences in information processing style are flexible and can be modified by situational factors. Specifically, a situational manipulation that induced an analytical mode of thought improved decision quality. In Experiment 2, we show that this improvement in decision quality is highly contingent on the compatibility between the dominant thinking mode and the nature of the task. That is, encouraging an intuitive mode of thought led to better performance on an intuitive task but hampered performance on an analytical task. The reverse pattern was obtained when an analytical mode of thought was encouraged. We discuss the implications of these results for the assessment of decision making competence, and suggest practical directions to help individuals better adjust their information processing style to the situation at hand and make optimal decisions.

Evaluating a mobile application for improving clinical laboratory test ordering and diagnosis.

PubMed

Meyer, Ashley N D; Thompson, Pamela J; Khanna, Arushi; Desai, Samir; Mathews, Benji K; Yousef, Elham; Kusnoor, Anita V; Singh, Hardeep

2018-04-20

Mobile applications for improving diagnostic decision making often lack clinical evaluation. We evaluated if a mobile application improves generalist physicians' appropriate laboratory test ordering and diagnosis decisions and assessed if physicians perceive it as useful for learning. In an experimental, vignette study, physicians diagnosed 8 patient vignettes with normal prothrombin times (PT) and abnormal partial thromboplastin times (PTT). Physicians made test ordering and diagnosis decisions for 4 vignettes using each resource: a mobile app, PTT Advisor, developed by the Centers for Disease Control and Prevention (CDC)'s Clinical Laboratory Integration into Healthcare Collaborative (CLIHC); and usual clinical decision support. Then, physicians answered questions regarding their perceptions of the app's usefulness for diagnostic decision making and learning using a modified Kirkpatrick Training Evaluation Framework. Data from 368 vignettes solved by 46 physicians at 7 US health care institutions show advantages for using PTT Advisor over usual clinical decision support on test ordering and diagnostic decision accuracy (82.6 vs 70.2% correct; P < .001), confidence in decisions (7.5 vs 6.3 out of 10; P < .001), and vignette completion time (3:02 vs 3:53 min.; P = .06). Physicians reported positive perceptions of the app's potential for improved clinical decision making, and recommended it be used to address broader diagnostic challenges. A mobile app, PTT Advisor, may contribute to better test ordering and diagnosis, serve as a learning tool for diagnostic evaluation of certain clinical disorders, and improve patient outcomes. Similar methods could be useful for evaluating apps aimed at improving testing and diagnosis for other conditions.

Contrasting models of driver behaviour in emergencies using retrospective verbalisations and network analysis.

PubMed

Banks, Victoria A; Stanton, Neville A

2015-01-01

Automated assistance in driving emergencies aims to improve the safety of our roads by avoiding or mitigating the effects of accidents. However, the behavioural implications of such systems remain unknown. This paper introduces the driver decision-making in emergencies (DDMiEs) framework to investigate how the level and type of automation may affect driver decision-making and subsequent responses to critical braking events using network analysis to interrogate retrospective verbalisations. Four DDMiE models were constructed to represent different levels of automation within the driving task and its effects on driver decision-making. Findings suggest that whilst automation does not alter the decision-making pathway (e.g. the processes between hazard detection and response remain similar), it does appear to significantly weaken the links between information-processing nodes. This reflects an unintended yet emergent property within the task network that could mean that we may not be improving safety in the way we expect. This paper contrasts models of driver decision-making in emergencies at varying levels of automation using the Southampton University Driving Simulator. Network analysis of retrospective verbalisations indicates that increasing the level of automation in driving emergencies weakens the link between information-processing nodes essential for effective decision-making.

Fire science application and integration in support of decision making

Treesearch

Tom Zimmerman

2011-01-01

Wildland fire management in the United States has historically been a challenging and complex program governed by a multitude of factors including situational status, objectives, operational capability, science and technology, and changes and advances in all these factors. The improvement and advancement of risk-informed decision making has the potential to improve...

Improving the Process of Career Decision Making: An Action Research Approach

ERIC Educational Resources Information Center

Greenbank, Paul

2011-01-01

Purpose: This study adopts an action research approach with the aim of improving the process of career decision making among undergraduates in a business school at a "new" university in the UK. Design/methodology/approach: The study utilised unfreezing techniques, multiple case studies in conjunction with the principle of analogical…

New perspectives for motivating better decisions in older adults

PubMed Central

Strough, JoNell; de Bruin, Wändi Bruine; Peters, Ellen

2015-01-01

Decision-making competence in later adulthood is affected by declines in cognitive skills, and age-related changes in affect and experience can sometimes compensate. However, recent findings suggest that age-related changes in motivation also affect the extent to which adults draw from experience, affect, and deliberative skills when making decisions. To date, relatively little attention has been given to strategies for addressing age-related changes in motivation to promote better decisions in older adults. To address this limitation, we draw from diverse literatures to suggest promising intervention strategies for motivating older recipients’ motivation to make better decisions. We start by reviewing the life-span developmental literature, which suggests that older adults’ motivation to put effort into decisions depends on the perceived personal relevance of decisions as well as their self-efficacy (i.e., confidence in applying their ability and knowledge). Next, we discuss two approaches from the health intervention design literature, the mental models approach and the patient activation approach, which aim to improve motivation for decision making by improving personal relevance or by building self-efficacy or confidence to use new information and skills. Using examples from these literatures, we discuss how to construct interventions to motivate good decisions in later adulthood. PMID:26157398

Classifying clinical decision making: a unifying approach.

PubMed

Buckingham, C D; Adams, A

2000-10-01

This is the first of two linked papers exploring decision making in nursing which integrate research evidence from different clinical and academic disciplines. Currently there are many decision-making theories, each with their own distinctive concepts and terminology, and there is a tendency for separate disciplines to view their own decision-making processes as unique. Identifying good nursing decisions and where improvements can be made is therefore problematic, and this can undermine clinical and organizational effectiveness, as well as nurses' professional status. Within the unifying framework of psychological classification, the overall aim of the two papers is to clarify and compare terms, concepts and processes identified in a diversity of decision-making theories, and to demonstrate their underlying similarities. It is argued that the range of explanations used across disciplines can usefully be re-conceptualized as classification behaviour. This paper explores problems arising from multiple theories of decision making being applied to separate clinical disciplines. Attention is given to detrimental effects on nursing practice within the context of multidisciplinary health-care organizations and the changing role of nurses. The different theories are outlined and difficulties in applying them to nursing decisions highlighted. An alternative approach based on a general model of classification is then presented in detail to introduce its terminology and the unifying framework for interpreting all types of decisions. The classification model is used to provide the context for relating alternative philosophical approaches and to define decision-making activities common to all clinical domains. This may benefit nurses by improving multidisciplinary collaboration and weakening clinical elitism.

Evaluation of a rule base for decision making in general practice.

PubMed Central

Essex, B; Healy, M

1994-01-01

BACKGROUND. Decision making in general practice relies heavily on judgmental expertise. It should be possible to codify this expertise into rules and principles. AIM. A study was undertaken to evaluate the effectiveness, of rules from a rule base designed to improve students' and trainees' management decisions relating to patients seen in general practice. METHOD. The rule base was developed after studying decisions about and management of thousands of patients seen in one general practice over an eight year period. Vignettes were presented to 93 fourth year medical students and 179 general practitioner trainees. They recorded their perception and management of each case before and after being presented with a selection of relevant rules. Participants also commented on their level of agreement with each of the rules provided with the vignettes. A panel of five independent assessors then rated as good, acceptable or poor, the participants' perception and management of each case before and after seeing the rules. RESULTS. Exposure to a few selected rules of thumb improved the problem perception and management decisions of both undergraduates and trainees. The degree of improvement was not related to previous experience or to the stated level of agreement with the proposed rules. The assessors identified difficulties students and trainees experienced in changing their perceptions and management decisions when the rules suggested options they had not considered. CONCLUSION. The rules developed to improve decision making skills in general practice are effective when used with vignettes. The next phase is to transform the rule base into an expert system to train students and doctors to acquire decision making skills. It could also be used to provide decision support when confronted with difficult management decisions in general practice. PMID:8204334

14 CFR § 1216.303 - NEPA process in NASA planning and decision making.

Code of Federal Regulations, 2014 CFR

2014-01-01

... 14 Aeronautics and Space 5 2014-01-01 2014-01-01 false NEPA process in NASA planning and decision... Act (NEPA) § 1216.303 NEPA process in NASA planning and decision making. (a) NEPA requires the... integration of the NEPA process with NASA project and program planning improves Agency decisions and ensures...

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, some features performed better than others. Integration of content control improved quality of decision making (SMD 0.59 vs 0.23 for knowledge; SMD 0.39 vs 0.29 for decisional conflict). In contrast, tailoring reduced quality of decision making (SMD 0.40 vs 0.71 for knowledge; SMD 0.25 vs 0.52 for decisional conflict). Similarly, patient narratives also reduced quality of decision making (SMD 0.43 vs 0.65 for knowledge; SMD 0.17 vs 0.46 for decisional conflict). Results were varied for different types of explicit values clarification, feedback, and social support. Conclusions Integration of media rich or interactive features into computer-based decision aids can improve quality of preference-sensitive decision making. However, this is an emerging field with limited evidence to guide use. The systematic review and thematic synthesis identified features that have been integrated into available computer-based decision aids, in an effort to facilitate reporting of these features and to promote integration of such features into decision aids. The meta-analyses and associated subgroup analyses provide preliminary evidence to support integration of specific features into future decision aids. Further research can focus on clarifying independent contributions of specific features through experimental designs and refining the designs of features to improve effectiveness. PMID:26813512

Decision making and cancer.

PubMed

Reyna, Valerie F; Nelson, Wendy L; Han, Paul K; Pignone, Michael P

2015-01-01

We review decision making along the cancer continuum in the contemporary context of informed and shared decision making in which patients are encouraged to take a more active role in their health care. We discuss challenges to achieving informed and shared decision making, including cognitive limitations and emotional factors, but argue that understanding the mechanisms of decision making offers hope for improving decision support. Theoretical approaches to decision making that explain cognition, emotion, and their interaction are described, including classical psychophysical approaches, dual-process approaches that focus on conflicts between emotion versus cognition (or reason), and modern integrative approaches such as fuzzy-trace theory. In contrast to the earlier emphasis on rote use of numerical detail, modern approaches emphasize understanding the bottom-line gist of options (which encompasses emotion and other influences on meaning) and retrieving relevant social and moral values to apply to those gist representations. Finally, research on interventions to support better decision making in clinical settings is reviewed, drawing out implications for future research on decision making and cancer. PsycINFO Database Record (c) 2015 APA, all rights reserved.

Development and pilot testing of a decision aid for surrogates of patients with prolonged mechanical ventilation

PubMed Central

Cox, Christopher E.; Lewis, Carmen L.; Hanson, Laura C.; Hough, Catherine L.; Kahn, Jeremy M.; White, Douglas B.; Song, Mi-Kyung; Tulsky, James A.; Carson, Shannon S.

2013-01-01

Objective Shared decision making is inadequate in intensive care units (ICUs). Decision aids can improve decision making quality, though their role in an ICU setting is unclear. We aimed to develop and pilot test a decision aid for shared decision makers of patients undergoing prolonged mechanical ventilation. Setting ICUs at three medical centers. Subjects 53 surrogate decision makers and 58 physicians. Design and interventions We developed the decision aid using defined methodological guidelines. After an iterative revision process, formative cognitive testing was performed among surrogate-physician dyads. Next, we compared the decision aid to usual care control in a prospective, before/after design study. Measurements and main results Primary outcomes were physician-surrogate discordance for expected patient survival, comprehension of relevant medical information, and the quality of communication. Compared to control, the intervention group had lower surrogate-physician discordance (7 [10] vs 43 [21]), greater comprehension (11.4 [0.7] vs 6.1 [3.7]), and improved quality of communication (8.7 [1.3] vs 8.4 [1.3]) (all p<0.05) post-intervention. Hospital costs were lower in the intervention group ($110,609 vs $178,618; p=0.044); mortality did not differ by group (38% vs 50%, p=0.95). 94% of surrogates and 100% of physicians reported that the decision aid was useful in decision making. Conclusion We developed a prolonged mechanical ventilation decision aid that is feasible, acceptable, and associated with both improved decision making quality and less resource utilization. Further evaluation using a randomized controlled trial design is needed to evaluate the decision aid's effect on long-term patient and surrogate outcomes. PMID:22635048

Competency in health care management: a training model in epidemiologic methods for assessing and improving the quality of clinical practice through evidence-based decision making.

PubMed

Hudak, R P; Jacoby, I; Meyer, G S; Potter, A L; Hooper, T I; Krakauer, H

1997-01-01

This article describes a training model that focuses on health care management by applying epidemiologic methods to assess and improve the quality of clinical practice. The model's uniqueness is its focus on integrating clinical evidence-based decision making with fundamental principles of resource management to achieve attainable, cost-effective, high-quality health outcomes. The target students are current and prospective clinical and administrative executives who must optimize decision making at the clinical and managerial levels of health care organizations.

Implementing CER: what will it take?

PubMed

Biskupiak, Joseph E; Dunn, Jeffrey D; Holtorf, Anke-Peggy

2012-06-01

Comparative effectiveness research (CER) is undeniably changing how drugs are developed, launched, priced, and reimbursed in the United States. But most organizations are still evaluating what CER can do for them and how and when they can utilize the data. A roundtable of stakeholders, including formulary decision makers, evaluated CER's possible effects on managed care organizations (MCOs) and what it may take to fully integrate CER into decision making. To examine the role of CER in current formulary decision making, compare CER to modeling, discuss ways CER may be used in the future, and describe CER funding sources. While decision makers from different types of organizations, such as pharmacy benefit management (PBM) companies and MCOs, may have varying definitions and expectations of CER, most thought leaders from a roundtable of stakeholders, including formulary decision makers, see value in CER's ability to enhance their formulary decision making. Formulary decision makers may be able to use CER to better inform their coverage decisions in areas such as benefit design, contracting, conditional reimbursement, pay for performance, and other alternative pricing arrangements. Real-world CER will require improvement in the health information technology infrastructure to better capture value-related information. The federal government is viewed as a key driver and funding source behind CER, especially for infrastructure and methods development, while industry will adapt the clinical development and create increasing CER evidence. CER then needs to be applied to determining value (or cost efficacy). It is expected that CER will continue to grow as a valuable component of formulary decision making. Future integration of CER into formulary decision making will require federal government and academic leadership, improvements in the health information technology infrastructure, ongoing funding, and improved and more consistent methodologies.

A qualitative exploration of patient and family views and experiences of treatment decision-making in bipolar II disorder.

PubMed

Fisher, Alana; Manicavasagar, Vijaya; Sharpe, Louise; Laidsaar-Powell, Rebekah; Juraskova, Ilona

2018-02-01

Treatment decision-making in bipolar II disorder (BPII) is challenging, yet the decision support needs of patients and family remain unknown. To explore patient and family perspectives of treatment decision-making in BPII. Semistructured, qualitative interviews were conducted with 28 patients with BPII-diagnosis and 13 family members with experience in treatment decision-making in the outpatient setting. Interviews were audiotaped, transcribed verbatim and analysed thematically using framework methods. Participant demographics, clinical characteristics and preferences for patient decision-making involvement were assessed. Four inter-related themes emerged: (1) Attitudes and response to diagnosis and treatment; (2) Influences on decision-making; (3) The nature and flow of decision-making; (4) Decision support and challenges. Views differed according to patient involvement preferences, time since diagnosis and patients' current mood symptoms. This is the first known study to provide in-depth patient and family insights into the key factors influencing BPII treatment decision-making, and potential improvements and challenges to this process. Findings will inform the development of BPII treatment decision-making resources that better meet the informational and decision-support priorities of end users. This research was partly funded by a Postgraduate Research Grant awarded to the first author by the University of Sydney. No conflicts of interest declared.

A cognitive prosthesis for complex decision-making.

PubMed

Tremblay, Sébastien; Gagnon, Jean-François; Lafond, Daniel; Hodgetts, Helen M; Doiron, Maxime; Jeuniaux, Patrick P J M H

2017-01-01

While simple heuristics can be ecologically rational and effective in naturalistic decision making contexts, complex situations require analytical decision making strategies, hypothesis-testing and learning. Sub-optimal decision strategies - using simplified as opposed to analytic decision rules - have been reported in domains such as healthcare, military operational planning, and government policy making. We investigate the potential of a computational toolkit called "IMAGE" to improve decision-making by developing structural knowledge and increasing understanding of complex situations. IMAGE is tested within the context of a complex military convoy management task through (a) interactive simulations, and (b) visualization and knowledge representation capabilities. We assess the usefulness of two versions of IMAGE (desktop and immersive) compared to a baseline. Results suggest that the prosthesis helped analysts in making better decisions, but failed to increase their structural knowledge about the situation once the cognitive prosthesis is removed. Copyright © 2016 Elsevier Ltd. All rights reserved.

Risk assessment and decision making about in-labour transfer from rural maternity care: a social judgment and signal detection analysis

PubMed Central

2012-01-01

Background The importance of respecting women’s wishes to give birth close to their local community is supported by policy in many developed countries. However, persistent concerns about the quality and safety of maternity care in rural communities have been expressed. Safe childbirth in rural communities depends on good risk assessment and decision making as to whether and when the transfer of a woman in labour to an obstetric led unit is required. This is a difficult decision. Wide variation in transfer rates between rural maternity units have been reported suggesting different decision making criteria may be involved; furthermore, rural midwives and family doctors report feeling isolated in making these decisions and that staff in urban centres do not understand the difficulties they face. In order to develop more evidence based decision making strategies greater understanding of the way in which maternity care providers currently make decisions is required. This study aimed to examine how midwives working in urban and rural settings and obstetricians make intrapartum transfer decisions, and describe sources of variation in decision making. Methods The study was conducted in three stages. 1. 20 midwives and four obstetricians described factors influencing transfer decisions. 2. Vignettes depicting an intrapartum scenario were developed based on stage one data. 3. Vignettes were presented to 122 midwives and 12 obstetricians who were asked to assess the level of risk in each case and decide whether to transfer or not. Social judgment analysis was used to identify the factors and factor weights used in assessment. Signal detection analysis was used to identify participants’ ability to distinguish high and low risk cases and personal decision thresholds. Results When reviewing the same case information in vignettes midwives in different settings and obstetricians made very similar risk assessments. Despite this, a wide range of transfer decisions were still made, suggesting that the main source of variation in decision making and transfer rates is not in the assessment but the personal decision thresholds of clinicians. Conclusions Currently health care practice focuses on supporting or improving decision making through skills training and clinical guidelines. However, these methods alone are unlikely to be effective in improving consistency of decision making. PMID:23114289

What Is Known about Parents’ Treatment Decisions? A Narrative Review of Pediatric Decision Making

PubMed Central

Lipstein, Ellen A.; Brinkman, William B.; Britto, Maria T.

2013-01-01

Background With the increasing complexity of decisions in pediatric medicine, there is a growing need to understand the pediatric decision-making process. Objective To conduct a narrative review of the current research on parent decision making about pediatric treatments and identify areas in need of further investigation. Methods Articles presenting original research on parent decision making were identified from MEDLINE (1966–6/2011), using the terms “decision making,” “parent,” and “child.” We included papers focused on treatment decisions but excluded those focused on information disclosure to children, vaccination, and research participation decisions. Results We found 55 papers describing 52 distinct studies, the majority being descriptive, qualitative studies of the decision-making process, with very limited assessment of decision outcomes. Although parents’ preferences for degree of participation in pediatric decision making vary, most are interested in sharing the decision with the provider. In addition to the provider, parents are influenced in their decision making by changes in their child’s health status, other community members, prior knowledge, and personal factors, such as emotions and faith. Parents struggle to balance these influences as well as to know when to include their child in decision making. Conclusions Current research demonstrates a diversity of influences on parent decision making and parent decision preferences; however, little is known about decision outcomes or interventions to improve outcomes. Further investigation, using prospective methods, is needed in order to understand how to support parents through the difficult treatment decisions. PMID:21969136

Shared Decisions & Technology-Assisted Learning

ERIC Educational Resources Information Center

Jacobs, Mary

2005-01-01

In this short article, the author discusses how Henderson Middle School in Jackson, Georgia used shared decision making to improve student achievement through the use of laptop computers. With effective use of technology and shared decision making, administrators at Henderson believe that they can continue to achieve Adequate Yearly Progress under…

Shared Decision Making in Cancer Care

ERIC Educational Resources Information Center

Butow, Phyllis; Tattersall, Martin

2005-01-01

Cancer treatment outcomes have improved over the past 20 years, but treatment decision making in this context remains complex. There are often a number of reasonable treatment alternatives, including no treatment in some circumstances. Patients and doctors often have to weigh up uncertain benefits against uncertain costs. Shared decision making…

Predictor Combination in Binary Decision-Making Situations

ERIC Educational Resources Information Center

McGrath, Robert E.

2008-01-01

Professional psychologists are often confronted with the task of making binary decisions about individuals, such as predictions about future behavior or employee selection. Test users familiar with linear models and Bayes's theorem are likely to assume that the accuracy of decisions is consistently improved by combination of outcomes across valid…

The evaluation of lifestyle interventions in the Netherlands.

PubMed

Rappange, David R; Brouwer, Werner B F

2012-04-01

Current investments in preventive lifestyle interventions are relatively low, despite the significant impact of unhealthy behaviour on population health. This raises the question of whether the criteria used in reimbursement decisions about healthcare interventions put preventive interventions at a disadvantage. In this paper, we highlight the decision-making framework used in the Netherlands to delineate the basic benefits package. Important criteria in that framework are 'necessity' and 'cost-effectiveness'. Several normative choices need to be made, and these choices can have an important impact on the evaluation of lifestyle interventions, especially when making these criteria operational and quantifiable. Moreover, the implementation of the decision-making framework may prove to be difficult for lifestyle interventions. Improvements of the decision-making framework in the Netherlands are required to guarantee sound evaluations of lifestyle interventions aimed at improving health.

Provider perspectives on the utility of a colorectal cancer screening decision aid for facilitating shared decision making.

PubMed

Schroy, Paul C; Mylvaganam, Shamini; Davidson, Peter

2014-02-01

Decision aids for colorectal cancer (CRC) screening have been shown to enable patients to identify a preferred screening option, but the extent to which such tools facilitate shared decision making (SDM) from the perspective of the provider is less well established. Our goal was to elicit provider feedback regarding the impact of a CRC screening decision aid on SDM in the primary care setting. Cross-sectional survey. Primary care providers participating in a clinical trial evaluating the impact of a novel CRC screening decision aid on SDM and adherence. Perceptions of the impact of the tool on decision-making and implementation issues. Twenty-nine of 42 (71%) eligible providers responded, including 27 internists and two nurse practitioners. The majority (>60%) felt that use of the tool complimented their usual approach, increased patient knowledge, helped patients identify a preferred screening option, improved the quality of decision making, saved time and increased patients' desire to get screened. Respondents were more neutral is their assessment of whether the tool improved the overall quality of the patient visit or patient satisfaction. Fewer than 50% felt that the tool would be easy to implement into their practices or that it would be widely used by their colleagues. Decision aids for CRC screening can improve the quality and efficiency of SDM from the provider perspective but future use is likely to depend on the extent to which barriers to implementation can be addressed. © 2011 John Wiley & Sons Ltd.

Two Validated Ways of Improving the Ability of Decision-Making in Emergencies; Results from a Literature Review

PubMed Central

Khorram-Manesh, Amir; Berlin, Johan; Carlström, Eric

2016-01-01

The aim of the current review wasto study the existing knowledge about decision-making and to identify and describe validated training tools.A comprehensive literature review was conducted by using the following keywords: decision-making, emergencies, disasters, crisis management, training, exercises, simulation, validated, real-time, command and control, communication, collaboration, and multi-disciplinary in combination or as an isolated word. Two validated training systems developed in Sweden, 3 level collaboration (3LC) and MacSim, were identified and studied in light of the literature review in order to identify how decision-making can be trained. The training models fulfilled six of the eight identified characteristics of training for decision-making.Based on the results, these training models contained methods suitable to train for decision-making. PMID:27878123

The effect of women's decision-making power on maternal health services uptake: evidence from Pakistan.

PubMed

Hou, Xiaohui; Ma, Ning

2013-03-01

A large body of research has explored the links between women's decision making and their uptake of maternal health services, but the evidence so far is inconclusive. This study uses the Pakistan Social and Living Standards Measurement Survey to examine the influence of household decision making on women's uptake of maternal health services. We find that women's decision-making power has a significant positive correlation with maternal health services uptake and that influential males' decision-making power has the opposite effect, after controlling for socio-economic indicators and supply-side conditions. Our findings suggest that empowering women and increasing their ability to make decisions may increase their uptake of maternal health services. They also suggest that policies directed toward improving women's utilization of maternal health services in Pakistan must target men as well as women.

The professional medical ethics model of decision making under conditions of clinical uncertainty.

PubMed

McCullough, Laurence B

2013-02-01

The professional medical ethics model of decision making may be applied to decisions clinicians and patients make under the conditions of clinical uncertainty that exist when evidence is low or very low. This model uses the ethical concepts of medicine as a profession, the professional virtues of integrity and candor and the patient's virtue of prudence, the moral management of medical uncertainty, and trial of intervention. These features combine to justifiably constrain clinicians' and patients' autonomy with the goal of preventing nondeliberative decisions of patients and clinicians. To prevent biased recommendations by the clinician that promote such nondeliberative decisions, medically reasonable alternatives supported by low or very low evidence should be offered but not recommended. The professional medical ethics model of decision making aims to improve the quality of decisions by reducing the unacceptable variation that can result from nondeliberative decision making by patients and clinicians when evidence is low or very low.

Has Lean improved organizational decision making?

PubMed

Simons, Pascale; Benders, Jos; Bergs, Jochen; Marneffe, Wim; Vandijck, Dominique

2016-06-13

Purpose - Sustainable improvement is likely to be hampered by ambiguous objectives and uncertain cause-effect relations in care processes (the organization's decision-making context). Lean management can improve implementation results because it decreases ambiguity and uncertainties. But does it succeed? Many quality improvement (QI) initiatives are appropriate improvement strategies in organizational contexts characterized by low ambiguity and uncertainty. However, most care settings do not fit this context. The purpose of this paper is to investigate whether a Lean-inspired change program changed the organization's decision-making context, making it more amenable for QI initiatives. Design/methodology/approach - In 2014, 12 professionals from a Dutch radiotherapy institute were interviewed regarding their perceptions of a Lean program in their organization and the perceived ambiguous objectives and uncertain cause-effect relations in their clinical processes. A survey (25 questions), addressing the same concepts, was conducted among the interviewees in 2011 and 2014. The structured interviews were analyzed using a deductive approach. Quantitative data were analyzed using appropriate statistics. Findings - Interviewees experienced improved shared visions and the number of uncertain cause-effect relations decreased. Overall, more positive (99) than negative Lean effects (18) were expressed. The surveys revealed enhanced process predictability and standardization, and improved shared visions. Practical implications - Lean implementation has shown to lead to greater transparency and increased shared visions. Originality/value - Lean management decreased ambiguous objectives and reduced uncertainties in clinical process cause-effect relations. Therefore, decision making benefitted from Lean increasing QI's sustainability.

Applying the Wildland Fire Decision Support System (WFDSS) to support risk-informed decision making: The Gold Pan Fire, Bitterroot National Forest, Montana, USA

Treesearch

Erin K. Noonan-Wright; Tonja S. Opperman

2015-01-01

In response to federal wildfire policy changes, risk-informed decision-making by way of improved decision support, is increasingly becoming a component of managing wildfires. As fire incidents escalate in size and complexity, the Wildland Fire Decision Support System (WFDSS) provides support with different analytical tools as fire conditions change. We demonstrate the...

How Participatory Should Environmental Governance Be? Testing the Applicability of the Vroom-Yetton-Jago Model in Public Environmental Decision-Making

NASA Astrophysics Data System (ADS)

Lührs, Nikolas; Jager, Nicolas W.; Challies, Edward; Newig, Jens

2018-02-01

Public participation is potentially useful to improve public environmental decision-making and management processes. In corporate management, the Vroom-Yetton-Jago normative decision-making model has served as a tool to help managers choose appropriate degrees of subordinate participation for effective decision-making given varying decision-making contexts. But does the model recommend participatory mechanisms that would actually benefit environmental management? This study empirically tests the improved Vroom-Jago version of the model in the public environmental decision-making context. To this end, the key variables of the Vroom-Jago model are operationalized and adapted to a public environmental governance context. The model is tested using data from a meta-analysis of 241 published cases of public environmental decision-making, yielding three main sets of findings: (1) The Vroom-Jago model proves limited in its applicability to public environmental governance due to limited variance in its recommendations. We show that adjustments to key model equations make it more likely to produce meaningful recommendations. (2) We find that in most of the studied cases, public environmental managers (implicitly) employ levels of participation close to those that would have been recommended by the model. (3) An ANOVA revealed that such cases, which conform to model recommendations, generally perform better on stakeholder acceptance and environmental standards of outputs than those that diverge from the model. Public environmental management thus benefits from carefully selected and context-sensitive modes of participation.

How Participatory Should Environmental Governance Be? Testing the Applicability of the Vroom-Yetton-Jago Model in Public Environmental Decision-Making.

PubMed

Lührs, Nikolas; Jager, Nicolas W; Challies, Edward; Newig, Jens

2018-02-01

Public participation is potentially useful to improve public environmental decision-making and management processes. In corporate management, the Vroom-Yetton-Jago normative decision-making model has served as a tool to help managers choose appropriate degrees of subordinate participation for effective decision-making given varying decision-making contexts. But does the model recommend participatory mechanisms that would actually benefit environmental management? This study empirically tests the improved Vroom-Jago version of the model in the public environmental decision-making context. To this end, the key variables of the Vroom-Jago model are operationalized and adapted to a public environmental governance context. The model is tested using data from a meta-analysis of 241 published cases of public environmental decision-making, yielding three main sets of findings: (1) The Vroom-Jago model proves limited in its applicability to public environmental governance due to limited variance in its recommendations. We show that adjustments to key model equations make it more likely to produce meaningful recommendations. (2) We find that in most of the studied cases, public environmental managers (implicitly) employ levels of participation close to those that would have been recommended by the model. (3) An ANOVA revealed that such cases, which conform to model recommendations, generally perform better on stakeholder acceptance and environmental standards of outputs than those that diverge from the model. Public environmental management thus benefits from carefully selected and context-sensitive modes of participation.

Hesitant Fuzzy Thermodynamic Method for Emergency Decision Making Based on Prospect Theory.

PubMed

Ren, Peijia; Xu, Zeshui; Hao, Zhinan

2017-09-01

Due to the timeliness of emergency response and much unknown information in emergency situations, this paper proposes a method to deal with the emergency decision making, which can comprehensively reflect the emergency decision making process. By utilizing the hesitant fuzzy elements to represent the fuzziness of the objects and the hesitant thought of the experts, this paper introduces the negative exponential function into the prospect theory so as to portray the psychological behaviors of the experts, which transforms the hesitant fuzzy decision matrix into the hesitant fuzzy prospect decision matrix (HFPDM) according to the expectation-levels. Then, this paper applies the energy and the entropy in thermodynamics to take the quantity and the quality of the decision values into account, and defines the thermodynamic decision making parameters based on the HFPDM. Accordingly, a whole procedure for emergency decision making is conducted. What is more, some experiments are designed to demonstrate and improve the validation of the emergency decision making procedure. Last but not the least, this paper makes a case study about the emergency decision making in the firing and exploding at Port Group in Tianjin Binhai New Area, which manifests the effectiveness and practicability of the proposed method.

Accountability Policies and Teacher Decision Making: Barriers to the Use of Data to Improve Practice

ERIC Educational Resources Information Center

Ingram, Debra; Louis, Karen Seashore; Schroeder, Roger G.

2004-01-01

One assumption underlying accountability policies is that results from standardized tests and other sources will be used to make decisions about school and classroom practice. We explore this assumption using data from a longitudinal study of nine high schools nominated as leading practitioners of Continuous Improvement (CI) practices. We use the…

Information Technology Process Improvement Decision-Making: An Exploratory Study from the Perspective of Process Owners and Process Managers

ERIC Educational Resources Information Center

Lamp, Sandra A.

2012-01-01

There is information available in the literature that discusses information technology (IT) governance and investment decision making from an executive-level perception, yet there is little information available that offers the perspective of process owners and process managers pertaining to their role in IT process improvement and investment…

Demystifying Data: Designing and Implementing Data-Driven Systems and Practices for Continuous Quality Improvement

ERIC Educational Resources Information Center

Krugly, Andrew; Stein, Amanda; Centeno, Maribel G.

2014-01-01

Data-based decision making should be the driving force in any early care and education setting. Data usage compels early childhood practitioners and leaders to make decisions on the basis of more than just professional instinct. This article explores why early childhood schools should be using data for continuous quality improvement at various…

Longitudinal Analysis Technique to Assist School Leaders in Making Critical Curriculum and Instruction Decisions for School Improvement

ERIC Educational Resources Information Center

Bigham, Gary D.; Riney, Mark R.

2017-01-01

To meet the constantly changing needs of schools and diverse learners, educators must frequently monitor student learning, revise curricula, and improve instruction. Consequently, it is critical that careful analyses of student performance data are ongoing components of curriculum decision-making processes. The primary purpose of this study is to…

Improving Child Outcomes with Data-Based Decision Making: Interpreting and Using Data

ERIC Educational Resources Information Center

Gischlar, Karen L.; Hojnoski, Robin L.; Missall, Kristen N.

2009-01-01

This article is the third in a series describing the steps in using data-based decision making to inform intervention and, ultimately, improve outcomes for children. Whereas the first two articles describe identifying and measuring important behaviors to target for intervention, the purpose of this article is to describe basic considerations in…

Effectiveness of a Video-Feedback and Questioning Programme to Develop Cognitive Expertise in Sport

PubMed Central

García-González, Luis; Moreno, M. Perla; Moreno, Alberto; Gil, Alexander; del Villar, Fernando

2013-01-01

The importance within sport expertise of cognitive factors has been emphasised in many research studies. Adaptations that take place in athletes’ long-term memories are going to condition their decision-making and performance, and training programmes must be developed that improve these adaptations. In our study, we provide a tactical-cognitive training programme based on video-feedback and questioning in order to improve tactical knowledge in tennis players and verify its effect when transferred to athletes’ decision-making. 11 intermediate tennis players participated in this study (12.9±0.7 years old), distributed into two groups (experimental, n = 5; control, n = 6). Tactical knowledge was measured by problem representation and strategy planning with a verbal protocol. Decision-making was measured by a systematic observation instrument. Results confirm the effectiveness of a combination of video-feedback and questioning on cognitive expertise, developing adaptations in long-term memory that produce an improvement in the quality of tactical knowledge (content, sophistication and structure). This, in turn, is transferred to the athletes’ decision-making capacity, leading to a higher percentage of successful decisions made during game play. Finally, we emphasise the need to develop effective programmes to develop cognitive expertise and improve athletes' performance, and include it in athletes’ formative stages. PMID:24340012

Multiobjective Decision Making Policies and Coordination Mechanisms in Hierarchical Organizations: Results of an Agent-Based Simulation

PubMed Central

2014-01-01

This paper analyses how different coordination modes and different multiobjective decision making approaches interfere with each other in hierarchical organizations. The investigation is based on an agent-based simulation. We apply a modified NK-model in which we map multiobjective decision making as adaptive walk on multiple performance landscapes, whereby each landscape represents one objective. We find that the impact of the coordination mode on the performance and the speed of performance improvement is critically affected by the selected multiobjective decision making approach. In certain setups, the performances achieved with the more complex multiobjective decision making approaches turn out to be less sensitive to the coordination mode than the performances achieved with the less complex multiobjective decision making approaches. Furthermore, we present results on the impact of the nature of interactions among decisions on the achieved performance in multiobjective setups. Our results give guidance on how to control the performance contribution of objectives to overall performance and answer the question how effective certain multiobjective decision making approaches perform under certain circumstances (coordination mode and interdependencies among decisions). PMID:25152926

Information support for decision making on dispatching control of water distribution in irrigation

NASA Astrophysics Data System (ADS)

Yurchenko, I. F.

2018-05-01

The research has been carried out on developing the technique of supporting decision making for on-line control, operational management of water allocation for the interfarm irrigation projects basing on the analytical patterns of dispatcher control. This technique provides an increase of labour productivity as well as higher management quality due to the improved level of automation, as well as decision making optimization taking into account diagnostics of the issues, solutions classification, information being required to the decision makers.

The involvement of the striatum in decision making

PubMed Central

Goulet-Kennedy, Julie; Labbe, Sara; Fecteau, Shirley

2016-01-01

Decision making has been extensively studied in the context of economics and from a group perspective, but still little is known on individual decision making. Here we discuss the different cognitive processes involved in decision making and its associated neural substrates. The putative conductors in decision making appear to be the prefrontal cortex and the striatum. Impaired decision-making skills in various clinical populations have been associated with activity in the prefrontal cortex and in the striatum. We highlight the importance of strengthening the degree of integration of both cognitive and neural substrates in order to further our understanding of decision-making skills. In terms of cognitive paradigms, there is a need to improve the ecological value of experimental tasks that assess decision making in various contexts and with rewards; this would help translate laboratory learnings into real-life benefits. In terms of neural substrates, the use of neuroimaging techniques helps characterize the neural networks associated with decision making; more recently, ways to modulate brain activity, such as in the prefrontal cortex and connected regions (eg, striatum), with noninvasive brain stimulation have also shed light on the neural and cognitive substrates of decision making. Together, these cognitive and neural approaches might be useful for patients with impaired decision-making skills. The drive behind this line of work is that decision-making abilities underlie important aspects of wellness, health, security, and financial and social choices in our daily lives. PMID:27069380

Many faces of rationality: Implications of the great rationality debate for clinical decision-making.

PubMed

Djulbegovic, Benjamin; Elqayam, Shira

2017-10-01

Given that more than 30% of healthcare costs are wasted on inappropriate care, suboptimal care is increasingly connected to the quality of medical decisions. It has been argued that personal decisions are the leading cause of death, and 80% of healthcare expenditures result from physicians' decisions. Therefore, improving healthcare necessitates improving medical decisions, ie, making decisions (more) rational. Drawing on writings from The Great Rationality Debate from the fields of philosophy, economics, and psychology, we identify core ingredients of rationality commonly encountered across various theoretical models. Rationality is typically classified under umbrella of normative (addressing the question how people "should" or "ought to" make their decisions) and descriptive theories of decision-making (which portray how people actually make their decisions). Normative theories of rational thought of relevance to medicine include epistemic theories that direct practice of evidence-based medicine and expected utility theory, which provides the basis for widely used clinical decision analyses. Descriptive theories of rationality of direct relevance to medical decision-making include bounded rationality, argumentative theory of reasoning, adaptive rationality, dual processing model of rationality, regret-based rationality, pragmatic/substantive rationality, and meta-rationality. For the first time, we provide a review of wide range of theories and models of rationality. We showed that what is "rational" behaviour under one rationality theory may be irrational under the other theory. We also showed that context is of paramount importance to rationality and that no one model of rationality can possibly fit all contexts. We suggest that in context-poor situations, such as policy decision-making, normative theories based on expected utility informed by best research evidence may provide the optimal approach to medical decision-making, whereas in the context-rich circumstances other types of rationality, informed by human cognitive architecture and driven by intuition and emotions such as the aim to minimize regret, may provide better solution to the problem at hand. The choice of theory under which we operate is important as it determines both policy and our individual decision-making. © 2017 The Authors Journal of Evaluation in Clinical Practice Published by John Wiley & Sons Ltd.

Medical Decision-Making Among Adolescents with Neonatal Brachial Plexus Palsy and their Families: A Qualitative Study

PubMed Central

Squitieri, Lee; Larson, Bradley P.; Chang, Kate W-C; Yang, Lynda J-S.; Chung, Kevin C.

2016-01-01

Background Elective surgical management of neonatal brachial plexus palsy is complex, variable, and often individualized. Little is known about the medical decision-making process among adolescents with NBPP and their families faced with making complex treatment decisions. The experiences of these patients and their parents were analyzed to identify key factors in the decision-making process. Patients and Methods Eighteen adolescents with residual NBPP deficits between the ages of 10 to 17 years along with their parents were included in the present study. A qualitative research design was employed involving the use of separate one hour, in person, semi-structured interviews, which were audio recorded and transcribed. Grounded theory was applied by two independent members of the research team to identify recurrent themes and ultimately create a codebook that was then applied to the data. Results Medical decision-making among adolescents with NBPP and their families is multifaceted and individualized, comprised of both patient and system dependent factors. Four codes pertaining to the medical decision-making process were identified: 1) knowledge acquisition, 2) multidisciplinary care, 3) adolescent autonomy, and 4) patient expectations and treatment desires. Overall, parental decision-making was heavily influenced by system dependent factors, while adolescents largely based their medical decision-making on individual treatment desires to improve function and/or aesthetics. Conclusions There are many areas for improving the delivery of information and health care organization among adolescents with NBPP and their families. We recommend the development of educational interdisciplinary programs and decision aids containing evidence-based management guidelines targeted toward primary care providers and patients. We believe that a computer-based learning module may provide the best avenue to achieve maximum penetrance and convenience of information sharing. PMID:23714810

NURSE-LED INTERVENTION TO IMPROVE SURROGATE DECISION MAKING FOR PATIENTS WITH ADVANCED CRITICAL ILLNESS

PubMed Central

White, Douglas B.; Cua, Sarah Martin; Walk, Roberta; Pollice, Laura; Weissfeld, Lisa; Hong, Seoyeon; Landefeld, C. Seth; Arnold, Robert M.

2013-01-01

Background Problems persist with surrogate decision making in intensive care units, leading to distress for surrogates and treatment that may not reflect patients’ values. Objectives To assess the feasibility, acceptability, and perceived effectiveness of a multifaceted, nurse-led intervention to improve surrogate decision making in intensive care units. Study Design A single-center, single-arm, interventional study in which 35 surrogates and 15 physicians received the Four Supports Intervention, which involved incorporating a family support specialist into the intensive care team. That specialist maintained a longitudinal relationship with surrogates and provided emotional support, communication support, decision support, and anticipatory grief support. A mixed-methods approach was used to evaluate the intervention. Results The intervention was implemented successfully in all 15 patients, with a high level of completion of each component of the intervention. The family support specialist devoted a mean of 48 (SD 36) minutes per day to each clinician-patient-family triad. All participants reported that they would recommend the intervention to others. At least 90% of physicians and surrogates reported that the intervention (1) improved the quality and timeliness of communication, (2) facilitated discussion of the patient’s values and treatment preferences, and (3) improved the patient-centeredness of care. Conclusions The Four Supports Intervention is feasible, acceptable, and was perceived by physicians and surrogates to improve the quality of decision making and the patient-centeredness of care. A randomized trial is warranted to determine whether the intervention improves patient, family, and health system outcomes. PMID:23117903

Maintenance program decision-making utilizing crash data.

DOT National Transportation Integrated Search

2013-07-01

This document describes methods that may be used by UDOT Maintenance personnel to improve highway safety. Four programs have been recommended using crash data to make more informed decisions concerning maintenance programs as follows: : Snow & Ic...

Multi-disciplinary decision making in general practice.

PubMed

Kirby, Ann; Murphy, Aileen; Bradley, Colin

2018-04-09

Purpose Internationally, healthcare systems are moving towards delivering care in an integrated manner which advocates a multi-disciplinary approach to decision making. Such an approach is formally encouraged in the management of Atrial Fibrillation patients through the European Society of Cardiology guidelines. Since the emergence of new oral anticoagulants switching between oral anticoagulants (OACs) has become prevalent. This case study considers the role of multi-disciplinary decision making, given the complex nature of the agents. The purpose of this paper is to explore Irish General Practitioners' (GPs) experience of switching between all OACs for Arial Fibrillation (AF) patients; prevalence of multi-disciplinary decision making in OAC switching decisions and seeks to determine the GP characteristics that appear to influence the likelihood of multi-disciplinary decision making. Design/methodology/approach A probit model is used to determine the factors influencing multi-disciplinary decision making and a multinomial logit is used to examine the factors influencing who is involved in the multi-disciplinary decisions. Findings Results reveal that while some multi-disciplinary decision-making is occurring (64 per cent), it is not standard practice despite international guidelines on integrated care. Moreover, there is a lack of patient participation in the decision-making process. Female GPs and GPs who have initiated prescriptions for OACs are more likely to engage in multi-disciplinary decision-making surrounding switching OACs amongst AF patients. GPs with training practices were less likely to engage with cardiac consultants and those in urban areas were more likely to engage with other (non-cardiac) consultants. Originality/value For optimal decision making under uncertainty multi-disciplinary decision-making is needed to make a more informed judgement and to improve treatment decisions and reduce the opportunity cost of making the wrong decision.

Cloud E-Learning Service Strategies for Improving E-Learning Innovation Performance in a Fuzzy Environment by Using a New Hybrid Fuzzy Multiple Attribute Decision-Making Model

ERIC Educational Resources Information Center

Su, Chiu Hung; Tzeng, Gwo-Hshiung; Hu, Shu-Kung

2016-01-01

The purpose of this study was to address this problem by applying a new hybrid fuzzy multiple criteria decision-making model including (a) using the fuzzy decision-making trial and evaluation laboratory (DEMATEL) technique to construct the fuzzy scope influential network relationship map (FSINRM) and determine the fuzzy influential weights of the…

Reforming Pentagon Strategic Decisionmaking. Strategic Forum. Number 221, July 2006

DTIC Science & Technology

2006-07-01

capability that would improve Pentagon decisionmaking. Blink and Think It is commonly assumed that people can and should make decisions as rationally ... rationality ,” which not only helps them make decisions but also introduces a range of nonrational psychologi- cal factors into their thinking. An otherwise...decisionmaking shortcuts that limit their ability to make rational decisions . Strategic Forum No. 221July 2006 Institute for National Strategic Studies

Age-related changes in decision making: comparing informed and noninformed situations.

PubMed

Van Duijvenvoorde, Anna C K; Jansen, Brenda R J; Bredman, Joren C; Huizenga, Hilde M

2012-01-01

Advantageous decision making progressively develops into early adulthood, most specifically in complex and motivationally salient decision situations in which direct feedback on gains and losses is provided (Figner & Weber, 2011). However, the factors that underlie this developmental improvement in decision making are still not well understood. The current study therefore investigates 2 potential factors, long-term memory and working memory, by assigning a large developmental sample (7-29 years of age) to a condition with either high or low demands on long-term and working memory. The first condition featured an age-adapted version of the Iowa Gambling Task (IGT; Bechara, Damasio, Damasio, & Anderson, 1994; i.e., a noninformed situation), whereas the second condition provided an external store where explicit information on gains, losses, and probabilities per choice option was presented (i.e., an informed situation). Consistent with previous developmental IGT studies, children up to age 12 did not learn to prefer advantageous options in the noninformed condition. In contrast, all age groups learned to prefer the advantageous options in the informed conditions, although a slight developmental increase in advantageous decision making remained. These results indicate that lowering dependence on long-term and working memory improves children's advantageous decision making. The results additionally suggest that other factors, like inhibitory control processes, may play an additional role in the development of advantageous decision making.

Nudging Students' Creative Problem-Solving Skills

ERIC Educational Resources Information Center

Griffin, Dana

2011-01-01

People often make choices that go against their own best interests. In the controversial bestseller "Nudge," Richard Thaler and Cass Sunstein argue that people can benefit from simple "nudges" to improve their decision-making. In an upper-level undergraduate course on political decision-making, I created a series of assignments around "Nudge." In…

Reasoning and Action: Implementation of a Decision-Making Program in Sport.

PubMed

Gil-Arias, Alexander; Moreno, M Perla; García-Mas, Alex; Moreno, Alberto; García-González, Luíz; Del Villar, Fernando

2016-09-20

The objective of this study was to apply a decision training programme, based on the use of video-feedback and questioning, in real game time, in order to improve decision-making in volleyball attack actions. A three-phase quasi-experimental design was implemented: Phase A (pre-test), Phase B (Intervention) and Phase C (Retention). The sample was made up of 8 female Under-16 volleyball players, who were divided into two groups: experimental group (n = 4) and control group (n = 4). The independent variable was the decision training program, which was applied for 11 weeks in a training context, more specifically in a 6x6 game situation. The player had to analyze the reasons and causes of the decision taken. The dependent variable was decision-making, which was assessed based on systematic observation, using the "Game Performance Assessment Instrument" (GPAI) (Oslin, Mitchell, & Griffin, 1998). Results showed that, after applying the decision training program, the experimental group showed a significantly higher average percentage of successful decisions than the control group F(1, 6) = 11.26; p = .015; η2 p = .652; 95% CI [056, 360]. These results highlight the need to complement the training process with cognitive tools such as video-feedback and questioning in order to improve athletes' decision-making.

Conceptual Frameworks for Child Care Decision-Making. White Paper

ERIC Educational Resources Information Center

Chaudry, Ajay; Henly, Julia; Meyers, Marcia

2010-01-01

This working paper is one in a series of projects initiated by the Administration for Children and Families (ACF) to improve knowledge for child care researchers and policy makers about parental child care decision making. In this paper, the authors identify three distinct conceptual frameworks for understanding child care decisions--a rational…

Professional Development to Improve Accommodations Decisions--A Review of the Literature. Synthesis Report 84

ERIC Educational Resources Information Center

Hodgson, Jennifer R.; Lazarus, Sheryl S.; Thurlow, Martha L.

2011-01-01

Teachers play an important role in making decisions about students' accommodations for instruction and assessment. Although teachers are a significant part of the decision-making process, "gaps" in teachers' accommodations knowledge are well documented. Some of these gaps may be due to challenges in providing teacher professional…

The Development and Validation of a Novice Nurse Decision-Making Skills Education Curriculum

ERIC Educational Resources Information Center

Simmons, Joanne

2017-01-01

Novice nurses (NNs) are entering critical care environments with limited knowledge, skills, and decision-making expertise. They are expected to care for complex patients in a dynamic healthcare setting. The research question for this project examined whether NNs improve their knowledge and skills by participating in a nursing decision-making…

Improving decision making in multidisciplinary tumor boards: prospective longitudinal evaluation of a multicomponent intervention for 1,421 patients.

PubMed

Lamb, Benjamin W; Green, James S A; Benn, Jonathan; Brown, Katrina F; Vincent, Charles A; Sevdalis, Nick

2013-09-01

Due to its complexity, cancer care is increasingly being delivered by multidisciplinary tumor boards (MTBs). Few studies have investigated how best to organize and run MTBs to optimize clinical decision making. We developed and evaluated a multicomponent intervention designed to improve the MTB's ability to reach treatment decisions. We conducted a prospective longitudinal study during 16 months that evaluated MTB decision making for urological cancer patients at a university hospital in London, UK. After a baseline period, MTB improvement interventions (eg, MTBs checklist, MTB team training, and written guidance) were delivered sequentially. Outcomes measures were the MTB's ability to reach a decision, the quality of information presentation, and the quality of teamwork (as assessed by trained assessors using a previously validated observational assessment tool). The efficacy of the intervention was evaluated using multivariate analyses. There were 1,421 patients studied between December 2009 and April 2, 2011. All outcomes improved considerably between baseline and intervention implementation: the MTB's ability to reach a decision rose from 82.2% to 92.7%, quality of information presentation rose from 29.6% to 38.3%, and quality of teamwork rose from 37.8% to 43.0%. The MTB's ability to reach a treatment decision was related to the quality of available information (r = 0.298; p < 0.05) and quality of teamwork within the MTB (r = 0.348; p < 0.05). The most common barriers to reaching clinical decisions were inadequate radiologic information (n = 77), inadequate pathologic information (n = 51), and inappropriate patient referrals (n = 21). Multidisciplinary tumor board-delivered treatment is becoming the standard for cancer care worldwide. Our intervention is efficacious and applicable to MTBs and can improve decision making and expedite cancer care. Copyright © 2013 American College of Surgeons. Published by Elsevier Inc. All rights reserved.

Shared Decision-Making and Patient Empowerment in Preventive Cardiology.

PubMed

Kambhampati, Swetha; Ashvetiya, Tamara; Stone, Neil J; Blumenthal, Roger S; Martin, Seth S

2016-05-01

Shared decision-making, central to evidence-based medicine and good patient care, begins and ends with the patient. It is the process by which a clinician and a patient jointly make a health decision after discussing options, potential benefits and harms, and considering the patient's values and preferences. Patient empowerment is crucial to shared decision-making and occurs when a patient accepts responsibility for his or her health. They can then learn to solve their own problems with information and support from professionals. Patient empowerment begins with the provider acknowledging that patients are ultimately in control of their care and aims to increase a patient's capacity to think critically and make autonomous, informed decisions about their health. This article explores the various components of shared decision-making in scenarios such as hypertension and hyperlipidemia, heart failure, and diabetes. It explores barriers and the potential for improving medication adherence, disease awareness, and self-management of chronic disease.

Computerized Decision Aids for Shared Decision Making in Serious Illness: Systematic Review.

PubMed

Staszewska, Anna; Zaki, Pearl; Lee, Joon

2017-10-06

Shared decision making (SDM) is important in achieving patient-centered care. SDM tools such as decision aids are intended to inform the patient. When used to assist in decision making between treatments, decision aids have been shown to reduce decisional conflict, increase ease of decision making, and increase modification of previous decisions. The purpose of this systematic review is to assess the impact of computerized decision aids on patient-centered outcomes related to SDM for seriously ill patients. PubMed and Scopus databases were searched to identify randomized controlled trials (RCTs) that assessed the impact of computerized decision aids on patient-centered outcomes and SDM in serious illness. Six RCTs were identified and data were extracted on study population, design, and results. Risk of bias was assessed by a modified Cochrane Risk of Bias Tool for Quality Assessment of Randomized Controlled Trials. Six RCTs tested decision tools in varying serious illnesses. Three studies compared different computerized decision aids against each other and a control. All but one study demonstrated improvement in at least one patient-centered outcome. Computerized decision tools may reduce unnecessary treatment in patients with low disease severity in comparison with informational pamphlets. Additionally, electronic health record (EHR) portals may provide the opportunity to manage care from the home for individuals affected by illness. The quality of decision aids is of great importance. Furthermore, satisfaction with the use of tools is associated with increased patient satisfaction and reduced decisional conflict. Finally, patients may benefit from computerized decision tools without the need for increased physician involvement. Most computerized decision aids improved at least one patient-centered outcome. All RCTs identified were at a High Risk of Bias or Unclear Risk of Bias. Effort should be made to improve the quality of RCTs testing SDM aids in serious illness. ©Anna Staszewska, Pearl Zaki, Joon Lee. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 06.10.2017.

48 CFR 2.101 - Definitions.

Code of Federal Regulations, 2011 CFR

2011-10-01

... support or improve: organizational policy development; decision-making; management and administration... organizations, activities (including management and support services for R&D activities), or systems. These..., decision-making, management, or administration. Included are studies in support of R&D activities. Also...

48 CFR 2.101 - Definitions.

Code of Federal Regulations, 2010 CFR

2010-10-01

... support or improve: organizational policy development; decision-making; management and administration... organizations, activities (including management and support services for R&D activities), or systems. These..., decision-making, management, or administration. Included are studies in support of R&D activities. Also...

[Barriers and facilitators to implementing shared decision-making in oncology: Patient perceptions].

PubMed

Ortega-Moreno, M; Padilla-Garrido, N; Huelva-López, L; Aguado-Correa, F; Bayo-Calero, J; Bayo-Lozano, E

To determine, from the point of view of the oncological patient, who made the decision about their treatment, as well as the major barriers and facilitators that enabled Shared Decision Making to be implemented. A cross-sectional, descriptive, sand association study using a self-report questionnaire to selected cancer patients, with casual sampling in different oncology clinics and random time periods. A total of 108 patients provided analysable data. The information was collected on sociodemographic and clinical variables, who made the decision about treatment, and level of agreement or disagreement with various barriers and facilitators. More than one-third (38.1%) of patients claimed to have participated in shared decision making with their doctor. Barriers such as, time, the difficulty of understanding, the paternalism, lack of fluid communication, and having preliminary and often erroneous information influenced the involvement in decision-making. However, to have or not have sufficient tools to aid decision making or the patient's interest to participate had no effect. As regards facilitators, physician motivation, their perception of improvement, and the interest of the patient had a positive influence. The exception was the possibility of financial incentives to doctors. The little, or no participation perceived by cancer patients in decisions about their health makes it necessary to introduce improvements in the health care model to overcome barriers and promote a more participatory attitude in the patient. Copyright © 2017 SECA. Publicado por Elsevier España, S.L.U. All rights reserved.

Productivity Assessment and Improvement Measurement of Decision Making Units--An Application for Ranking Cities in Israel

ERIC Educational Resources Information Center

Hadad, Yossi; Keren, Baruch; Ben-Yair, Avner

2010-01-01

In this paper we will demonstrate how productivity and improvement rate of urban organizational units (called also Decision Making Units--DMUs) may be assessed when measured along several time periods. The assessment and subsequent ranking of cities is achieved by means of the Data Envelopment Analysis (DEA) methodology to determine DMU's…

Cognitive processes in anesthesiology decision making.

PubMed

Stiegler, Marjorie Podraza; Tung, Avery

2014-01-01

The quality and safety of health care are under increasing scrutiny. Recent studies suggest that medical errors, practice variability, and guideline noncompliance are common, and that cognitive error contributes significantly to delayed or incorrect diagnoses. These observations have increased interest in understanding decision-making psychology.Many nonrational (i.e., not purely based in statistics) cognitive factors influence medical decisions and may lead to error. The most well-studied include heuristics, preferences for certainty, overconfidence, affective (emotional) influences, memory distortions, bias, and social forces such as fairness or blame.Although the extent to which such cognitive processes play a role in anesthesia practice is unknown, anesthesia care frequently requires rapid, complex decisions that are most susceptible to decision errors. This review will examine current theories of human decision behavior, identify effects of nonrational cognitive processes on decision making, describe characteristic anesthesia decisions in this context, and suggest strategies to improve decision making.

Clarifying values: an updated review

PubMed Central

2013-01-01

Background Consensus guidelines have recommended that decision aids include a process for helping patients clarify their values. We sought to examine the theoretical and empirical evidence related to the use of values clarification methods in patient decision aids. Methods Building on the International Patient Decision Aid Standards (IPDAS) Collaboration’s 2005 review of values clarification methods in decision aids, we convened a multi-disciplinary expert group to examine key definitions, decision-making process theories, and empirical evidence about the effects of values clarification methods in decision aids. To summarize the current state of theory and evidence about the role of values clarification methods in decision aids, we undertook a process of evidence review and summary. Results Values clarification methods (VCMs) are best defined as methods to help patients think about the desirability of options or attributes of options within a specific decision context, in order to identify which option he/she prefers. Several decision making process theories were identified that can inform the design of values clarification methods, but no single “best” practice for how such methods should be constructed was determined. Our evidence review found that existing VCMs were used for a variety of different decisions, rarely referenced underlying theory for their design, but generally were well described in regard to their development process. Listing the pros and cons of a decision was the most common method used. The 13 trials that compared decision support with or without VCMs reached mixed results: some found that VCMs improved some decision-making processes, while others found no effect. Conclusions Values clarification methods may improve decision-making processes and potentially more distal outcomes. However, the small number of evaluations of VCMs and, where evaluations exist, the heterogeneity in outcome measures makes it difficult to determine their overall effectiveness or the specific characteristics that increase effectiveness. PMID:24625261

Effects of Information Availability on Command-and-Control Decision Making: Performance, Trust, and Situation Awareness.

PubMed

Marusich, Laura R; Bakdash, Jonathan Z; Onal, Emrah; Yu, Michael S; Schaffer, James; O'Donovan, John; Höllerer, Tobias; Buchler, Norbou; Gonzalez, Cleotilde

2016-03-01

We investigated how increases in task-relevant information affect human decision-making performance, situation awareness (SA), and trust in a simulated command-and-control (C2) environment. Increased information is often associated with an improvement of SA and decision-making performance in networked organizations. However, previous research suggests that increasing information without considering the task relevance and the presentation can impair performance. We used a simulated C2 task across two experiments. Experiment 1 varied the information volume provided to individual participants and measured the speed and accuracy of decision making for task performance. Experiment 2 varied information volume and information reliability provided to two participants acting in different roles and assessed decision-making performance, SA, and trust between the paired participants. In both experiments, increased task-relevant information volume did not improve task performance. In Experiment 2, increased task-relevant information volume reduced self-reported SA and trust, and incorrect source reliability information led to poorer task performance and SA. These results indicate that increasing the volume of information, even when it is accurate and task relevant, is not necessarily beneficial to decision-making performance. Moreover, it may even be detrimental to SA and trust among team members. Given the high volume of available and shared information and the safety-critical and time-sensitive nature of many decisions, these results have implications for training and system design in C2 domains. To avoid decrements to SA, interpersonal trust, and decision-making performance, information presentation within C2 systems must reflect human cognitive processing limits and capabilities. © 2016, Human Factors and Ergonomics Society.

Improving Access to and Understanding of Regulations through Taxonomies

ERIC Educational Resources Information Center

Cheng, Chin Pang; Lau. Gloria T.; Law, Kincho H.; Pan, Jiayi; Jones, Albert

2009-01-01

Industrial taxonomies have the potential to automate information retrieval, facilitate interoperability and, most importantly, improve decision making - decisions that must comply with existing government regulations and codes of practice. However, it is difficult to find those regulations and codes most relevant to a particular decision, even…

Improving Breast Cancer Surgical Treatment Decision Making: The iCanDecide Randomized Clinical Trial.

PubMed

Hawley, Sarah T; Li, Yun; An, Lawrence C; Resnicow, Kenneth; Janz, Nancy K; Sabel, Michael S; Ward, Kevin C; Fagerlin, Angela; Morrow, Monica; Jagsi, Reshma; Hofer, Timothy P; Katz, Steven J

2018-03-01

Purpose This study was conducted to determine the effect of iCanDecide, an interactive and tailored breast cancer treatment decision tool, on the rate of high-quality patient decisions-both informed and values concordant-regarding locoregional breast cancer treatment and on patient appraisal of decision making. Methods We conducted a randomized clinical trial of newly diagnosed patients with early-stage breast cancer making locoregional treatment decisions. From 22 surgical practices, 537 patients were recruited and randomly assigned online to the iCanDecide interactive and tailored Web site (intervention) or the iCanDecide static Web site (control). Participants completed a baseline survey and were mailed a follow-up survey 4 to 5 weeks after enrollment to assess the primary outcome of a high-quality decision, which consisted of two components, high knowledge and values-concordant treatment, and secondary outcomes (decision preparation, deliberation, and subjective decision quality). Results Patients in the intervention arm had higher odds of making a high-quality decision than did those in the control arm (odds ratio, 2.00; 95% CI, 1.37 to 2.92; P = .0004), which was driven primarily by differences in the rates of high knowledge between groups. The majority of patients in both arms made values-concordant treatment decisions (78.6% in the intervention arm and 81.4% in the control arm). More patients in the intervention arm had high decision preparation (estimate, 0.18; 95% CI, 0.02 to 0.34; P = .027), but there were no significant differences in the other decision appraisal outcomes. The effect of the intervention was similar for women who were leaning strongly toward a treatment option at enrollment compared with those who were not. Conclusion The tailored and interactive iCanDecide Web site, which focused on knowledge building and values clarification, positively affected high-quality decisions largely by improving knowledge compared with static online information. To be effective, future patient-facing decision tools should be integrated into the clinical workflow to improve decision making.

Multiple Criteria Decision Analysis for Health Care Decision Making--An Introduction: Report 1 of the ISPOR MCDA Emerging Good Practices Task Force.

PubMed

Thokala, Praveen; Devlin, Nancy; Marsh, Kevin; Baltussen, Rob; Boysen, Meindert; Kalo, Zoltan; Longrenn, Thomas; Mussen, Filip; Peacock, Stuart; Watkins, John; Ijzerman, Maarten

2016-01-01

Health care decisions are complex and involve confronting trade-offs between multiple, often conflicting, objectives. Using structured, explicit approaches to decisions involving multiple criteria can improve the quality of decision making and a set of techniques, known under the collective heading multiple criteria decision analysis (MCDA), are useful for this purpose. MCDA methods are widely used in other sectors, and recently there has been an increase in health care applications. In 2014, ISPOR established an MCDA Emerging Good Practices Task Force. It was charged with establishing a common definition for MCDA in health care decision making and developing good practice guidelines for conducting MCDA to aid health care decision making. This initial ISPOR MCDA task force report provides an introduction to MCDA - it defines MCDA; provides examples of its use in different kinds of decision making in health care (including benefit risk analysis, health technology assessment, resource allocation, portfolio decision analysis, shared patient clinician decision making and prioritizing patients' access to services); provides an overview of the principal methods of MCDA; and describes the key steps involved. Upon reviewing this report, readers should have a solid overview of MCDA methods and their potential for supporting health care decision making. Copyright © 2016. Published by Elsevier Inc.

Shared decision making in the United States: policy and implementation activity on multiple fronts.

PubMed

Frosch, Dominick L; Moulton, Benjamin W; Wexler, Richard M; Holmes-Rovner, Margaret; Volk, Robert J; Levin, Carrie A

2011-01-01

Shared decision making in the United States has become an important element in health policy debates. The recently passed federal health care reform legislation includes several key provisions related to shared decision making (SDM) and patient decision support. Several states have passed or are considering legislation that incorporates SDM as a key component of improved health care provision. Research on SDM is funded by a range of public and private organizations. Non-profit, for-profit, academic and government organizations are developing decision support interventions for numerous conditions. Some interventions are publicly available; others are distributed to patients through health insurance and healthcare providers. A significant number of clinical implementation projects are underway to test and evaluate different ways of incorporating SDM and patient decision support into routine clinical care. Numerous professional organizations are advocating for SDM and social networking efforts are increasing their advocacy as well. Policy makers are intrigued by the potential of SDM to improve health care provision and potentially lower costs. The role of shared decision making in policy and practice will be part of the larger health care reform debate. 2011. Published by Elsevier GmbH.

Developing an Advanced Environment for Collaborative Computing

NASA Technical Reports Server (NTRS)

Becerra-Fernandez, Irma; Stewart, Helen; DelAlto, Martha; DelAlto, Martha; Knight, Chris

1999-01-01

Knowledge management in general tries to organize and make available important know-how, whenever and where ever is needed. Today, organizations rely on decision-makers to produce "mission critical" decisions that am based on inputs from multiple domains. The ideal decision-maker has a profound understanding of specific domains that influence the decision-making process coupled with the experience that allows them to act quickly and decisively on the information. In addition, learning companies benefit by not repeating costly mistakes, and by reducing time-to-market in Research & Development projects. Group-decision making tools can help companies make better decisions by capturing the knowledge from groups of experts. Furthermore, companies that capture their customers preferences can improve their customer service, which translates to larger profits. Therefore collaborative computing provides a common communication space, improves sharing of knowledge, provides a mechanism for real-time feedback on the tasks being performed, helps to optimize processes, and results in a centralized knowledge warehouse. This paper presents the research directions. of a project which seeks to augment an advanced collaborative web-based environment called Postdoc, with workflow capabilities. Postdoc is a "government-off-the-shelf" document management software developed at NASA-Ames Research Center (ARC).

Promising Approaches From Behavioral Economics to Improve Patient Lung Cancer Screening Decisions.

PubMed

Barnes, Andrew J; Groskaufmanis, Lauren; Thomson, Norman B

2016-12-01

Lung cancer is a devastating disease, the deadliest form of cancer in the world and in the United States. As a consequence of CMS's determination to provide low-dose CT (LDCT) as a covered service for at-risk smokers, LDCT lung cancer screening is now a covered service for many at-risk patients that first requires counseling and shared clinical decision making, including discussions of the risks and benefits of LDCT screening. However, shared decision making fundamentally relies on the premise that with better information, patients will arrive at rational decisions that align with their preferences and values. Evidence from the field of behavioral economics offers many contrary viewpoints that take into account patient decision making biases and the role of the shared decision environment that can lead to flawed choices and that are particularly relevant to lung cancer screening and treatment. This article discusses some of the most relevant biases, and suggests incorporating such knowledge into screening and treatment guidelines and shared decision making best practices to increase the likelihood that such efforts will produce their desired objectives to improve survival and quality of life. Copyright © 2016 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Does Patient Preference Measurement in Decision Aids Improve Decisional Conflict? A Randomized Trial in Men with Prostate Cancer.

PubMed

Shirk, Joseph D; Crespi, Catherine M; Saucedo, Josemanuel D; Lambrechts, Sylvia; Dahan, Ely; Kaplan, Robert; Saigal, Christopher

2017-12-01

Shared decision making (SDM) has been advocated as an approach to medical decision making that can improve decisional quality. Decision aids are tools that facilitate SDM in the context of limited physician time; however, many decision aids do not incorporate preference measurement. We aim to understand whether adding preference measurement to a standard patient educational intervention improves decisional quality and is feasible in a busy clinical setting. Men with incident localized prostate cancer (n = 122) were recruited from the Greater Los Angeles Veterans Affairs (VA) Medical Center urology clinic, Olive View UCLA Medical Center, and Harbor UCLA Medical Center from January 2011 to May 2015 and randomized to education with a brochure about prostate cancer treatment or software-based preference assessment in addition to the brochure. Men undergoing preference assessment received a report detailing the relative strength of their preferences for treatment outcomes used in review with their doctor. Participants completed instruments measuring decisional conflict, knowledge, SDM, and patient satisfaction with care before and/or after their cancer consultation. Baseline knowledge scores were low (mean 62%). The baseline mean total score on the Decisional Conflict Scale was 2.3 (±0.9), signifying moderate decisional conflict. Men undergoing preference assessment had a significantly larger decrease in decisional conflict total score (p = 0.023) and the Perceived Effective Decision Making subscale (p = 0.003) post consult compared with those receiving education only. Improvements in satisfaction with care, SDM, and knowledge were similar between groups. Individual-level preference assessment is feasible in the clinic setting. Patients with prostate cancer who undergo preference assessment are more certain about their treatment decisions and report decreased levels of decisional conflict when making these decisions.

Breaking the sound barrier: exploring parents' decision-making process of cochlear implants for their children.

PubMed

Chang, Pamara F

2017-08-01

To understand the dynamic experiences of parents undergoing the decision-making process regarding cochlear implants for their child(ren). Thirty-three parents of d/Deaf children participated in semi-structured interviews. Interviews were digitally recorded, transcribed, and coded using iterative and thematic coding. The results from this study reveal four salient topics related to parents' decision-making process regarding cochlear implantation: 1) factors parents considered when making the decision to get the cochlear implant for their child (e.g., desire to acculturate child into one community), 2) the extent to which parents' communities influence their decision-making (e.g., norms), 3) information sources parents seek and value when decision-making (e.g., parents value other parent's experiences the most compared to medical or online sources), and 4) personal experiences with stigma affecting their decision to not get the cochlear implant for their child. This study provides insights into values and perspectives that can be utilized to improve informed decision-making, when making risky medical decisions with long-term implications. With thorough information provisions, delineation of addressing parents' concerns and encompassing all aspects of the decision (i.e., medical, social and cultural), health professional teams could reduce the uncertainty and anxiety for parents in this decision-making process for cochlear implantation. Copyright © 2017 Elsevier B.V. All rights reserved.

Risk perception & strategic decision making :general insights, a framework, and specific application to electricity generation using nuclear energy.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Brewer, Jeffrey D.

The objective of this report is to promote increased understanding of decision making processes and hopefully to enable improved decision making regarding high-consequence, highly sophisticated technological systems. This report brings together insights regarding risk perception and decision making across domains ranging from nuclear power technology safety, cognitive psychology, economics, science education, public policy, and neural science (to name a few). It forms them into a unique, coherent, concise framework, and list of strategies to aid in decision making. It is suggested that all decision makers, whether ordinary citizens, academics, or political leaders, ought to cultivate their abilities to separate themore » wheat from the chaff in these types of decision making instances. The wheat includes proper data sources and helpful human decision making heuristics; these should be sought. The chaff includes ''unhelpful biases'' that hinder proper interpretation of available data and lead people unwittingly toward inappropriate decision making ''strategies''; obviously, these should be avoided. It is further proposed that successfully accomplishing the wheat vs. chaff separation is very difficult, yet tenable. This report hopes to expose and facilitate navigation away from decision-making traps which often ensnare the unwary. Furthermore, it is emphasized that one's personal decision making biases can be examined, and tools can be provided allowing better means to generate, evaluate, and select among decision options. Many examples in this report are tailored to the energy domain (esp. nuclear power for electricity generation). The decision making framework and approach presented here are applicable to any high-consequence, highly sophisticated technological system.« less

Cancer patient decision making related to clinical trial participation: an integrative review with implications for patients' relational autonomy.

PubMed

Bell, Jennifer A H; Balneaves, Lynda G

2015-04-01

Oncology clinical trials are necessary for the improvement of patient care as they have the ability to confirm the efficacy and safety of novel cancer treatments and in so doing, contribute to a solid evidence base on which practitioners and patients can make informed treatment decisions. However, only 3-5 % of adult cancer patients enroll in clinical trials. Lack of participation compromises the success of clinical trials and squanders an opportunity for improving patient outcomes. This literature review summarizes the factors and contexts that influence cancer patient decision making related to clinical trial participation. An integrative review was undertaken within PubMed, CINAHL, and EMBASE databases for articles written between 1995 and 2012 and archived under relevant keywords. Articles selected were data-based, written in English, and limited to adult cancer patients. In the 51 articles reviewed, three main types of factors were identified that influence cancer patients' decision making about participation in clinical trials: personal, social, and system factors. Subthemes included patients' trust in their physician and the research process, undue influence within the patient-physician relationship, and systemic social inequalities. How these factors interact and influence patients' decision-making process and relational autonomy, however, is insufficiently understood. Future research is needed to further elucidate the sociopolitical barriers and facilitators of clinical trial participation and to enhance ethical practice within clinical trial enrolment. This research will inform targeted education and support interventions to foster patients' relational autonomy in the decision-making process and potentially improve clinical trial participation rates.

Evaluating team decision-making as an emergent phenomenon.

PubMed

Kinnear, John; Wilson, Nick; O'Dwyer, Anthony

2018-04-01

The complexity of modern clinical practice has highlighted the fallibility of individual clinicians' decision-making, with effective teamwork emerging as a key to patient safety. Dual process theory is widely accepted as a framework for individual decision-making, with type 1 processes responsible for fast, intuitive and automatic decisions and type 2 processes for slow, analytical decisions. However, dual process theory does not explain cognition at the group level, when individuals act in teams. Team cognition resulting from dynamic interaction of individuals is said to be more resilient to decision-making error and greater than simply aggregated cognition. Clinicians were paired as teams and asked to solve a cognitive puzzle constructed as a drug calculation. The frequency at which the teams made incorrect decisions was compared with that of individual clinicians answering the same question. When clinicians acted in pairs, 63% answered the cognitive puzzle correctly, compared with 33% of clinicians as individuals, showing a statistically significant difference in performance (χ 2 (1, n=116)=24.329, P<0.001). Based on the predicted performance of teams made up of the random pairing of individuals who had the same propensity to answer as previously, there was no statistical difference in the actual and predicted teams' performance. Teams are less prone to making errors of decision-making than individuals. However, the improved performance is likely to be owing to the effect of aggregated cognition rather than any improved decision-making as a result of the interaction. There is no evidence of team cognition as an emergent and distinct entity. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Improving shared decision-making in adolescents through antibiotic education.

PubMed

Ngadimon, I W; Islahudin, F; Mohamed Shah, N; Md Hatah, E; Makmor-Bakry, M

2017-02-01

Background Shared decision-making is vital in achieving desired drug therapy goals, especially with antibiotics, in view of the potential long-term reduction in drug resistance. However, shared decision-making is rarely practiced with adolescent patients. Objectives The aim of the study was to identify the effect antibiotic education has on willingness to engage in shared decision-making among adolescents in Malaysia. Setting Participants from secondary schools in Malaysia were enrolled with ethical approval. Method The adolescents answered a validated questionnaire, which included demographics, antibiotic knowledge, attitude towards antibiotic use, and the Control Preference Scale, which measures willingness to engage in shared decision-making. Afterwards, antibiotic education was delivered to participating students. Main outcome measure Knowledge about and attitude toward antibiotics were investigated. Results A total of 510 adolescents participated in the study. Knowledge of antibiotics significantly increased post education (pre 3.2 ± 1.8 vs. post 6.8 ± 2.1, p < 0.001), as did attitude score (pre 3.3 ± 1.7 vs. post 5.4 ± 1.9, p = 0.003). Interestingly, adolescents were less likely to be passively involved in shared decision-making post education (χ = 36.9, df = 2, p < 0.001). Adolescents who were more collaborative in shared decision-making had a significantly higher total antibiotics knowledge and attitude scores compared to those who were not collaborative (p = 0.003). Conclusion The present work demonstrates that antibiotic education improves knowledge, attitude, and willingness to engage in shared decision-making among adolescents. Antibiotic education can therefore be introduced as a strategy to reduce inappropriate antibiotic use.

Correlates of healthcare and financial decision making among older adults without dementia.

PubMed

Stewart, Christopher C; Yu, Lei; Wilson, Robert S; Bennett, David A; Boyle, Patricia A

2018-03-22

Healthcare and financial decision making among older persons has been previously associated with cognition, health and financial literacy, and risk aversion; however, the manner by which these resources support decision making remains unclear, as past studies have not systematically investigated the pathways linking these resources with decision making. In the current study, we use path analysis to examine the direct and indirect pathways linking age, education, cognition, literacy, and risk aversion with decision making. We also decomposed literacy into its subcomponents, conceptual knowledge and numeracy, in order to examine their associations with decision making. Participants were 937 community-based older adults without dementia from the Rush Memory and Aging Project who completed a battery of cognitive tests and assessments of healthcare and financial decision making, health and financial literacy, and risk aversion. Age and education exerted effects on decision making, but nearly two thirds of their effects were indirect, working mostly through cognition and literacy. Cognition exerted a strong direct effect on decision making and a robust indirect effect working primarily through literacy. Literacy also exerted a powerful direct effect on decision making, as did its subcomponents, conceptual knowledge and numeracy. The direct effect of risk aversion was comparatively weak. In addition to cognition, health and financial literacy emerged as independent and primary correlates of healthcare and financial decision making. These findings suggest specific actions that might be taken to optimize healthcare and financial decision making and, by extension, improve health and well-being in advanced age. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

The assessment of depressive patients' involvement in decision making in audio-taped primary care consultations.

PubMed

Loh, Andreas; Simon, Daniela; Hennig, Katrin; Hennig, Benjamin; Härter, Martin; Elwyn, Glyn

2006-11-01

In primary care of depression treatment options such as antidepressants, counseling and psychotherapy are reasonable. Patient involvement could foster adherence and clinical outcome. However, there is a lack of empirical information about the extent to which general practitioners involve patients in decision making processes in this condition, and about the consultation time spent for distinct decision making tasks. Twenty general practice consultations with depressive patients prior to a treatment decision were audio-taped and transcribed. Patient involvement in decision making was assessed with the OPTION-scale and durations of decision making stages were measured. Mean duration of consultations was 16 min, 6s. The mean of the OPTION-items were between 0.0 and 26.9, in a scale range from 0 to 100. Overall, 78.6% of the consultation time was spent for the step "problem definition" (12 min, 42 s). Very low levels of patient involvement in medical decisions were observed in consultations about depression. Physicians used the majority of their time for the definition of the patient's medical problem. To improve treatment decision making in this condition, general practitioners should enhance their decision making competences and be more aware of the time spent in each decision making stage.

Analysis of Tactical, Decisional and Executional Behaviour according to the Level of Expertise in Squash

PubMed Central

Catalán-Eslava, María; González-Víllora, Sixto; Pastor-Vicedo, Juan C.; Contreras-Jordán, Onofre R.

2018-01-01

Abstract The objective of this study was to analyse the differences in tactical principles, decision-making and execution of the return shot and drop shot of squash players at different levels of proficiency. The sample was composed of 80 players, divided into four levels of expertise (first national category, second national category, autonomous regional level and provincial level). The Squash Performance Evaluation Tool was used for recording the level of decision-making and execution. The results revealed that reading of the context of the game improved as the level of the player’s expertise of both the return shot and the drop shot increased. The correlation between correct decision-making and better quality execution for both the return shot and the drop shot in squash also improved with the player’s level of expertise. According to these results, improvements in situational tactical principles and the application of tactical principles, correct decision-making and high-quality execution are essential to develop the athletic performance level among squash players. PMID:29599875

Air Traffic Control: Improved Cost Information Needed to Make Billion Dollar Modernization Investment Decisions

DOT National Transportation Integrated Search

1997-01-01

This Government Accounting Office report addresses the reliability of the cost information critical to capital investment decision-making on air traffic control projects. Specifically, the GAO evaluated the Federal Aviation Administration's processes...

Exploring the Decision Landscape: Integration of Human and Natural Systems Using the Driver-Pressure-State-Impact-Response Framework and Dynamic Web Application

EPA Science Inventory

Making decisions to increase community or regional sustainability requires a comprehensive understanding of the linkages between environmental, social, and economic systems. We present a visualization tool that can improve decision processes and improve interdisciplinary research...

Productivity and turnover in PCPs: the role of staff participation in decision-making.

PubMed

Hung, Dorothy Y; Rundall, Thomas G; Cohen, Deborah J; Tallia, Alfred F; Crabtree, Benjamin F

2006-10-01

Efforts to redesign primary care practices are beginning to address how decisions are made in the practice setting. This study contributes to these efforts by examining associations between staff participation in decision-making, productivity, and turnover in primary care practices. The study is informed by organizational theories of participation that emphasize cognitive and affective influences on employee output and behavior. This research used data collected from primary care practices involved in a national initiative sponsored by the Robert Wood Johnson Foundation. Cross-sectional survey data on organizational structures and attributes among 49 practices were analyzed. Regression analysis was used to examine associations among practice productivity, staff participation in decision-making, and formal structures such as staff meetings. Associations between staff turnover and participative decision-making were also examined. Staff participation in decisions regarding quality improvement, practice change, and clinical operations was positively associated with practice productivity, whereas formal structures such as staff meetings were not. In addition, higher levels of participation in decision-making were associated with reduced turnover among nonclinicians and administrative staff. Examination of organizational features is increasingly recognized as a key to improving primary care performance. Study findings suggest that one important strategy may be implementation of a participative model emphasizing greater staff involvement in practice decisions. This may enhance information-sharing, work satisfaction, and commitment to organizational decisions, all of which can lead to beneficial outcomes such as increased productivity and stability in primary care practices.

National evidence on the use of shared decision making in prostate-specific antigen screening.

PubMed

Han, Paul K J; Kobrin, Sarah; Breen, Nancy; Joseph, Djenaba A; Li, Jun; Frosch, Dominick L; Klabunde, Carrie N

2013-01-01

Recent clinical practice guidelines on prostate cancer screening using the prostate-specific antigen (PSA) test (PSA screening) have recommended that clinicians practice shared decision making-a process involving clinician-patient discussion of the pros, cons, and uncertainties of screening. We undertook a study to determine the prevalence of shared decision making in both PSA screening and nonscreening, as well as patient characteristics associated with shared decision making. A nationally representative sample of 3,427 men aged 50 to 74 years participating in the 2010 National Health Interview Survey responded to questions on the extent of shared decision making (past physician-patient discussion of advantages, disadvantages, and scientific uncertainty associated with PSA screening), PSA screening intensity (tests in past 5 years), and sociodemographic and health-related characteristics. Nearly two-thirds (64.3%) of men reported no past physician-patient discussion of advantages, disadvantages, or scientific uncertainty (no shared decision making); 27.8% reported discussion of 1 to 2 elements only (partial shared decision making); 8.0% reported discussion of all 3 elements (full shared decision making). Nearly one-half (44.2%) reported no PSA screening, 27.8% reported low-intensity (less-than-annual) screening, and 25.1% reported high-intensity (nearly annual) screening. Absence of shared decision making was more prevalent in men who were not screened; 88% (95% CI, 86.2%-90.1%) of nonscreened men reported no shared decision making compared with 39% (95% CI, 35.0%-43.3%) of men undergoing high-intensity screening. Extent of shared decision making was associated with black race, Hispanic ethnicity, higher education, health insurance, and physician recommendation. Screening intensity was associated with older age, higher education, usual source of medical care, and physician recommendation, as well as with partial vs no or full shared decision making. Most US men report little shared decision making in PSA screening, and the lack of shared decision making is more prevalent in nonscreened than in screened men. Screening intensity is greatest with partial shared decision making, and different elements of shared decision making are associated with distinct patient characteristics. Shared decision making needs to be improved in decisions for and against PSA screening.

Extending The P4P Agenda, Part 1: How Medicare Can Improve Patient Decision Making And Reduce Unnecessary Care

PubMed Central

Wennberg, John E.; O'Connor, Annette M.; Collins, E. Dale; Weinstein, James N.

2008-01-01

The decision to undergo many discretionary medical treatments should be based on informed patient choice. Shared decision making is an effective strategy for achieving this goal. The Centers for Medicare and Medicaid Services (CMS) should extend its pay-for-performance (P4P) agenda to assure that all Americans have access to a certified shared decision-making process. This paper outlines a strategy to achieve informed patient choice as the standard of practice for preference-sensitive care. PMID:17978377

Putting cognitive psychology to work: Improving decision-making in the medical encounter.

PubMed

Schwab, Abraham P

2008-12-01

Empirical research in social psychology has provided robust support for the accuracy of the heuristics and biases approach to human judgment. This research, however, has not been systematically investigated regarding its potential applications for specific health care decision-makers. This paper makes the case for investigating the heuristics and biases approach in the patient-physician relationship and recommends strategic empirical research. It is argued that research will be valuable for particular decisions in the clinic and for examining and altering the background conditions of patient and physician decision-making.

Operational seasonal forecasting of crop performance.

PubMed

Stone, Roger C; Meinke, Holger

2005-11-29

Integrated, interdisciplinary crop performance forecasting systems, linked with appropriate decision and discussion support tools, could substantially improve operational decision making in agricultural management. Recent developments in connecting numerical weather prediction models and general circulation models with quantitative crop growth models offer the potential for development of integrated systems that incorporate components of long-term climate change. However, operational seasonal forecasting systems have little or no value unless they are able to change key management decisions. Changed decision making through incorporation of seasonal forecasting ultimately has to demonstrate improved long-term performance of the cropping enterprise. Simulation analyses conducted on specific production scenarios are especially useful in improving decisions, particularly if this is done in conjunction with development of decision-support systems and associated facilitated discussion groups. Improved management of the overall crop production system requires an interdisciplinary approach, where climate scientists, agricultural scientists and extension specialists are intimately linked with crop production managers in the development of targeted seasonal forecast systems. The same principle applies in developing improved operational management systems for commodity trading organizations, milling companies and agricultural marketing organizations. Application of seasonal forecast systems across the whole value chain in agricultural production offers considerable benefits in improving overall operational management of agricultural production.

Operational seasonal forecasting of crop performance

PubMed Central

Stone, Roger C; Meinke, Holger

2005-01-01

Integrated, interdisciplinary crop performance forecasting systems, linked with appropriate decision and discussion support tools, could substantially improve operational decision making in agricultural management. Recent developments in connecting numerical weather prediction models and general circulation models with quantitative crop growth models offer the potential for development of integrated systems that incorporate components of long-term climate change. However, operational seasonal forecasting systems have little or no value unless they are able to change key management decisions. Changed decision making through incorporation of seasonal forecasting ultimately has to demonstrate improved long-term performance of the cropping enterprise. Simulation analyses conducted on specific production scenarios are especially useful in improving decisions, particularly if this is done in conjunction with development of decision-support systems and associated facilitated discussion groups. Improved management of the overall crop production system requires an interdisciplinary approach, where climate scientists, agricultural scientists and extension specialists are intimately linked with crop production managers in the development of targeted seasonal forecast systems. The same principle applies in developing improved operational management systems for commodity trading organizations, milling companies and agricultural marketing organizations. Application of seasonal forecast systems across the whole value chain in agricultural production offers considerable benefits in improving overall operational management of agricultural production. PMID:16433097

Shared Problem Models and Crew Decision Making

NASA Technical Reports Server (NTRS)

Orasanu, Judith; Statler, Irving C. (Technical Monitor)

1994-01-01

The importance of crew decision making to aviation safety has been well established through NTSB accident analyses: Crew judgment and decision making have been cited as causes or contributing factors in over half of all accidents in commercial air transport, general aviation, and military aviation. Yet the bulk of research on decision making has not proven helpful in improving the quality of decisions in the cockpit. One reason is that traditional analytic decision models are inappropriate to the dynamic complex nature of cockpit decision making and do not accurately describe what expert human decision makers do when they make decisions. A new model of dynamic naturalistic decision making is offered that may prove more useful for training or aiding cockpit decision making. Based on analyses of crew performance in full-mission simulation and National Transportation Safety Board accident reports, features that define effective decision strategies in abnormal or emergency situations have been identified. These include accurate situation assessment (including time and risk assessment), appreciation of the complexity of the problem, sensitivity to constraints on the decision, timeliness of the response, and use of adequate information. More effective crews also manage their workload to provide themselves with time and resources to make good decisions. In brief, good decisions are appropriate to the demands of the situation and reflect the crew's metacognitive skill. Effective crew decision making and overall performance are mediated by crew communication. Communication contributes to performance because it assures that all crew members have essential information, but it also regulates and coordinates crew actions and is the medium of collective thinking in response to a problem. This presentation will examine the relation between communication that serves to build performance. Implications of these findings for crew training will be discussed.

Multi-objective decision-making under uncertainty: Fuzzy logic methods

NASA Technical Reports Server (NTRS)

Hardy, Terry L.

1995-01-01

Fuzzy logic allows for quantitative representation of vague or fuzzy objectives, and therefore is well-suited for multi-objective decision-making. This paper presents methods employing fuzzy logic concepts to assist in the decision-making process. In addition, this paper describes software developed at NASA Lewis Research Center for assisting in the decision-making process. Two diverse examples are used to illustrate the use of fuzzy logic in choosing an alternative among many options and objectives. One example is the selection of a lunar lander ascent propulsion system, and the other example is the selection of an aeration system for improving the water quality of the Cuyahoga River in Cleveland, Ohio. The fuzzy logic techniques provided here are powerful tools which complement existing approaches, and therefore should be considered in future decision-making activities.

Mainstreaming Climate Change: Recent and Ongoing Efforts to Understand, Improve, and Expand Consideration of Climate Change in Federal Water Resources Planning

NASA Astrophysics Data System (ADS)

Ferguson, I. M.; McGuire, M.; Broman, D.; Gangopadhyay, S.

2017-12-01

The Bureau of Reclamation is a Federal agency tasked with developing and managing water supply and hydropower projects in the Western U.S. Climate and hydrologic variability and change significantly impact management actions and outcomes across Reclamation's programs and initiatives, including water resource planning and operations, infrastructure design and maintenance, hydropower generation, and ecosystem restoration, among others. Planning, design, and implementation of these programs therefore requires consideration of future climate and hydrologic conditions will impact program objectives. Over the past decade, Reclamation and other Federal agencies have adopted new guidelines, directives, and mandates that require consideration of climate change in water resources planning and decision making. Meanwhile, the scientific community has developed a large number of climate projections, along with an array of models, methods, and tools to facilitate consideration of climate projections in planning and decision making. However, water resources engineers, planners, and decision makers continue to face challenges regarding how best to use the available data and tools to support major decisions, including decisions regarding infrastructure investments and long-term operating criteria. This presentation will discuss recent and ongoing research towards understanding, improving, and expanding consideration of climate projections and related uncertainties in Federal water resources planning and decision making. These research efforts address a variety of challenges, including: How to choose between available climate projection datasets and related methods, models, and tools—many of which are considered experimental or research tools? How to select an appropriate decision framework when design or operating alternatives may differ between climate scenarios? How to effectively communicate results of a climate impacts analysis to decision makers? And, how to improve robustness and resilience of water resources systems in the face of significant uncertainty? Discussion will focus on the intersection between technical challenges and decision making paradigms and the need for improved scientist-decision maker engagement through the lens of this Federal water management agency.

A Structured approach to incidental take decision making

USGS Publications Warehouse

McGowan, Conor P.

2013-01-01

Decision making related to incidental take of endangered species under U.S. law lends itself well to a structured decision making approach. Incidental take is the permitted killing, harming, or harassing of a protected species under the law as long as that harm is incidental to an otherwise lawful activity and does not “reduce appreciably the probability of survival and recovery in the wild.” There has been inconsistency in the process used for determining incidental take allowances across species and across time for the same species, and structured decision making has been proposed to improve decision making. I use an example decision analysis to demonstrate the process and its applicability to incidental take decisions, even under significant demographic uncertainty and multiple, competing objectives. I define the example problem, present an objectives statement and a value function, use a simulation model to assess the consequences of a set of management actions, and evaluate the tradeoffs among the different actions. The approach results in transparent and repeatable decisions.

Unconscious-thought effects take place off-line, not on-line.

PubMed

Strick, Madelijn; Dijksterhuis, Ap; van Baaren, Rick B

2010-04-01

The unconscious-thought effect refers to an improvement in decision making following distraction from the decision context for a period of time. The dominant explanation for this effect is that unconscious processes continue to deal with the problem during the distraction period. Recently, however, some researchers have proposed that unconscious thinkers may be merely recalling a judgment that was formed on-line (i.e., during information acquisition). We present two experiments that rule out the latter interpretation. In the unconscious-thought condition of the first experiment, participants who reported making their decision after unconscious thought made better decisions than those who reported making their decision on-line. In the second experiment, all participants judged the choice alternatives both on-line and off-line. On-line judgments were predictive of off-line judgments only in the immediate-decision condition, but not in the conscious- and unconscious-thought conditions. These results demonstrate that a period of unconscious thought does improve judgments that were formed earlier on-line.

Patients' Values in Clinical Decision-Making.

PubMed

Faggion, Clovis Mariano; Pachur, Thorsten; Giannakopoulos, Nikolaos Nikitas

2017-09-01

Shared decision-making involves the participation of patient and dental practitioner. Well-informed decision-making requires that both parties understand important concepts that may influence the decision. This fourth article in a series of 4 aims to discuss the importance of patients' values when a clinical decision is made. We report on how to incorporate important concepts for well-informed, shared decision-making. Here, we present patient values as an important issue, in addition to previously established topics such as the risk of bias of a study, cost-effectiveness of treatment approaches, and a comparison of therapeutic benefit with potential side effects. We provide 2 clinical examples and suggestions for a decision tree, based on the available evidence. The information reported in this article may improve the relationship between patient and dental practitioner, resulting in more well-informed clinical decisions. Copyright © 2017 Elsevier Inc. All rights reserved.

Patient Decision Control and the Use of Cardiac Catheterization

PubMed Central

Paasche-Orlow, Michael K.; Orner, Michelle B.; Stewart, Sabrina K.; Kressin, Nancy R.

2015-01-01

Background: Shared decision-making is a key determinant of patient-centered care. A lack of patient involvement in treatment decisions may explain persistent racial disparities in rates of cardiac catheterization (CCATH). To date, limited evidence exists to demonstrate whether patients who engage in shared decision-makingare more or less likely to undergo non-emergency CCATH. Objective: To assess the relationship between participation in the decision to undergo a CCATH and the use of CCATH. We also examined whether preference for or actual engagement in decision-making varied by patient race. Methods: We analyzed data from 826 male Veterans Administration patients for whom CCATH was indicated and who participated in the Cardiac Decision Making Study. Results: After controlling for confounders, patients reporting any degree of decision control were more likely to receive CCATH compared with those reporting no control (doctor made decision without patient input) (54% vs 39%, P<.0001). Across racial groups, patients were equally likely to report a preference for control over decision-making (P=.53) as well as to experience discordance between their preference for control and their perception of the actual decision-making process (P=.59). Therefore, these factors did not mediate racial disparities in rates of CCATH use. Conclusion: Shared decision-making is an essential feature of whole-person care. While participation in decision-making may not explain disparities in CCATH rates, further work is required to identify strategies to improve congruence between patients' desire for and actual control over decision-making to actualize patient-centered care. PMID:26331101

Promoting informed choice: evaluating a decision-making tool for family planning clients and providers in Mexico.

PubMed

Kim, Young Mi; Kols, Adrienne; Martin, Antonieta; Silva, David; Rinehart, Ward; Prammawat, Sarah; Johnson, Sarah; Church, Kathryn

2005-12-01

The World Health Organization (WHO) has developed a decision-making tool to be used by providers and clients during family planning visits to improve the quality of services. It is important to examine the tool's usability and its impact on counseling and decision-making processes during family planning consultations. Thirteen providers in Mexico City were videotaped with family planning clients three months before and one month after attending a training session on the WHO decision-making tool. The videotapes were coded for client-provider communication and eye contact, and decision-making behaviors were rated. In-depth interviews and focus group discussions explored clients' and providers' opinions of the tool. After providers began using the decision-making tool, they gave clients more information on family planning, tailored that information more closely to clients' situations and more often discussed HIV/AIDS prevention, dual protection and condom use. Client involvement in the decision-making process and client active communication increased, contributing to a shift from provider-dominated to shared decision making. Clients reported that the tool helped them understand the provider's explanations and made them feel more comfortable talking and asking questions during consultations. After one month of practice with the decision-making tool, most providers felt comfortable with it and found it useful; however, they recommended some changes to the tool to help engage clients in the decision-making process. The decision-making tool was useful both as a job aid for providers and as a decision aid for clients.

Computers for Command and Control: An Airland Battle Requirement!

DTIC Science & Technology

1984-05-01

systems can enhance communications, improve data management, and support decision making through information display (SEE REVERSE) JAN 173 E~lNOS~SIISLT...organizations to improve communications, enhance data management, and support decision making through graphical display techniques and mathematical...tactical commander’s control of maneuver forces. There are many reasons for the Army’s apparent inability to develop and field these systems. Among the

The Importance of Ethical Training for the Improvement of Ethical Decision-Making: Evidence from Germany and the United States

ERIC Educational Resources Information Center

Rottig, Daniel; Heischmidt, Kenneth A.

2007-01-01

Based on three independent samples from Germany and the United States, this exploratory, cross-cultural study examines empirically the importance of ethical training for the improvement of ethical decision-making. The results of the study reveal a significant difference in the use of corporate codes of conduct and ethical training, as well as…

Looking at CER from Medicare's perspective.

PubMed

Mohr, Penny

2012-05-01

Comparative effectiveness research (CER) is rapidly adding to the amount of data available to health care coverage and payment decision makers. Medicare's decisions have a large effect on coverage and reimbursement policies throughout the health insurance industry and will likely influence the entire U.S. health care system; thus, examining its role in integrating CER into policy is crucial. To describe the potential benefits of CER to support payment and coverage decisions in the Medicare program, limitations on its use,the role of the Centers for Medicare & Medicaid Services (CMS) in improving the infrastructure for CER, and to discuss challenges that must be addressed to integrate CER into CMS's decision-making process. A defining feature of CER is that it provides the type of evidence that will help decision makers, such as patients, clinicians, and payers,make more informed treatment and policy decisions. Because CMS is responsible for more than 47 million elderly and disabled beneficiaries, the way that Medicare uses CER has the potential to have a large impact on public and individual health. Currently many critical payment and coverage decisions within the Medicare program are made on the basis of poor quality evidence, and CER has the potential to greatly improve the quality of decision making. Despite common misconceptions, CMS is not prohibited by law from using CER apart from some reasonable limitations. CMS is,however, required to support the development of the CER infrastructure by making their data more readily available to researchers. While CER has substantial potential to improve the quality of the agency's policy decisions,challenges remain to integrate CER into Medicare's processes. These challenges include statutory ambiguities, lack of sufficient staff and internal resources to take advantage of CER, and the lack of an active voice in setting priorities for CER and study design. Although challenges exist, CER has the potential to greatly enhance CMS's ability to make decisions regarding coverage and payment that will benefit both the agency and their patient population.

System Sketch: A Visualization Tool to Improve Community Decision Making

EPA Science Inventory

Making decisions in coastal and estuarine management requires a comprehensive understanding of the linkages between environmental, social, and economic systems. SystemSketch is a web-based scoping tool designed to assist resource managers in characterizing their systems, explorin...

Improved decision making in construction using virtual site visits.

DOT National Transportation Integrated Search

2003-01-01

This study explored the dynamics of information exchange involving field issues relating to construction and the assistance that a virtual site visit can provide to the field decision-making process. Such a process can be used for inspection and surv...

Swarm intelligence: when uncertainty meets conflict.

PubMed

Conradt, Larissa; List, Christian; Roper, Timothy J

2013-11-01

Good decision making is important for the survival and fitness of stakeholders, but decisions usually involve uncertainty and conflict. We know surprisingly little about profitable decision-making strategies in conflict situations. On the one hand, sharing decisions with others can pool information and decrease uncertainty (swarm intelligence). On the other hand, sharing decisions can hand influence to individuals whose goals conflict. Thus, when should an animal share decisions with others? Using a theoretical model, we show that, contrary to intuition, decision sharing by animals with conflicting goals often increases individual gains as well as decision accuracy. Thus, conflict-far from hampering effective decision making-can improve decision outcomes for all stakeholders, as long as they share large-scale goals. In contrast, decisions shared by animals without conflict were often surprisingly poor. The underlying mechanism is that animals with conflicting goals are less correlated in individual choice errors. These results provide a strong argument in the interest of all stakeholders for not excluding other (e.g., minority) factions from collective decisions. The observed benefits of including diverse factions among the decision makers could also be relevant to human collective decision making.

Contralateral prophylactic mastectomy: A qualitative approach to exploring the decision making process.

PubMed

Greener, Judith R; Bass, Sarah Bauerle; Lepore, Stephen J

2018-01-01

The proportion of women with unilateral breast cancer and no familial or genetic risk factors who elect contralateral prophylactic mastectomy (CPM) has grown dramatically, even in the absence of clear data demonstrating improved outcomes. To further extend the literature that addresses treatment decision-making, qualitative interviews were conducted with eleven women who considered CPM. A social ecological model of breast cancer treatment decision-making provided the conceptual framework, and grounded theory was used to identify the cognitive, psychosocial, and emotional influences motivating treatment choice. This research identified five themes that give context to women's decision-making experience: (1) variability in physician communication, (2) immediacy of the decision, (3) meaning of being proactive about treatment, (4) meaning of risk, and (5) women's relationship with their breasts. The results suggest that greater emphasis should be placed on a more nuanced understanding of patients' emotional reaction to breast cancer and managing the decision-making environment.

Neuroscience, moral reasoning, and the law.

PubMed

Knabb, Joshua J; Welsh, Robert K; Ziebell, Joseph G; Reimer, Kevin S

2009-01-01

Modern advancements in functional magnetic resonance imaging (fMRI) technology have given neuroscientists the opportunity to more fully appreciate the brain's contribution to human behavior and decision making. Morality and moral reasoning are relative newcomers to the growing literature on decision neuroscience. With recent attention given to the salience of moral factors (e.g. moral emotions, moral reasoning) in the process of decision making, neuroscientists have begun to offer helpful frameworks for understanding the interplay between the brain, morality, and human decision making. These frameworks are relatively unfamiliar to the community of forensic psychologists, despite the fact that they offer an improved understanding of judicial decision making from a biological perspective. This article presents a framework reviewing how event-feature-emotion complexes (EFEC) are relevant to jurors and understanding complex criminal behavior. Future directions regarding converging fields of neuroscience and legal decision making are considered. Copyright 2009 John Wiley & Sons, Ltd.

Considerations of informed consent and decision-making competence in older adults with cognitive impairment.

PubMed

Mayo, Ann M; Wallhagen, Margaret I

2009-04-01

Including older adults with cognitive impairment in research studies is necessary to ensure that interventions designed to improve care are effective for all older adults. However, issues related to capacity to consent raise many difficult questions that nurse researchers must address. Protecting vulnerable participants while simultaneously maintaining autonomy and moving important research forward can be challenging. Assessing the decision-making abilities of understanding, appreciation, reasoning, and expressing a choice is an important aspect of determining decision-making capacity. Yet although this is the prominent rational method for judging decision-making competence, it does not take into consideration the importance of culture, values, and emotions. This article focuses on the assessment of decision-making capacity to consent, recommendations for obtaining informed consent in older adults with cognitive impairment, the use of surrogate decision makers, strategies to maximize research participation, and directions for future research. Copyright 2009, SLACK Incorporated.

The use of emotional intelligence capabilities in clinical reasoning and decision-making: A qualitative, exploratory study.

PubMed

Hutchinson, Marie; Hurley, John; Kozlowski, Desirée; Whitehair, Leeann

2018-02-01

To explore clinical nurses' experiences of using emotional intelligence capabilities during clinical reasoning and decision-making. There has been little research exploring whether, or how, nurses employ emotional intelligence (EI) in clinical reasoning and decision-making. Qualitative phase of a larger mixed-methods study. Semistructured qualitative interviews with a purposive sample of registered nurses (n = 12) following EI training and coaching. Constructivist thematic analysis was employed to analyse the narrative transcripts. Three themes emerged: the sensibility to engage EI capabilities in clinical contexts, motivation to actively engage with emotions in clinical decision-making and incorporating emotional and technical perspectives in decision-making. Continuing to separate cognition and emotion in research, theorising and scholarship on clinical reasoning is counterproductive. Understanding more about nurses' use of EI has the potential to improve the calibre of decisions, and the safety and quality of care delivered. © 2017 John Wiley & Sons Ltd.

Type-2 fuzzy set extension of DEMATEL method combined with perceptual computing for decision making

NASA Astrophysics Data System (ADS)

Hosseini, Mitra Bokaei; Tarokh, Mohammad Jafar

2013-05-01

Most decision making methods used to evaluate a system or demonstrate the weak and strength points are based on fuzzy sets and evaluate the criteria with words that are modeled with fuzzy sets. The ambiguity and vagueness of the words and different perceptions of a word are not considered in these methods. For this reason, the decision making methods that consider the perceptions of decision makers are desirable. Perceptual computing is a subjective judgment method that considers that words mean different things to different people. This method models words with interval type-2 fuzzy sets that consider the uncertainty of the words. Also, there are interrelations and dependency between the decision making criteria in the real world; therefore, using decision making methods that cannot consider these relations is not feasible in some situations. The Decision-Making Trail and Evaluation Laboratory (DEMATEL) method considers the interrelations between decision making criteria. The current study used the combination of DEMATEL and perceptual computing in order to improve the decision making methods. For this reason, the fuzzy DEMATEL method was extended into type-2 fuzzy sets in order to obtain the weights of dependent criteria based on the words. The application of the proposed method is presented for knowledge management evaluation criteria.

Characteristics Associated With Preferences for Parent-Centered Decision Making in Neonatal Intensive Care.

PubMed

Weiss, Elliott Mark; Xie, Dawei; Cook, Noah; Coughlin, Katherine; Joffe, Steven

2018-05-01

Little is known about how characteristics of particular clinical decisions influence decision-making preferences by patients or their surrogates. A better understanding of the factors underlying preferences is essential to improve the quality of shared decision making. To identify the characteristics of particular decisions that are associated with parents' preferences for family- vs medical team-centered decision making across the spectrum of clinical decisions that arise in the neonatal intensive care unit (NICU). This cross-sectional survey assessed parents' preferences for parent- vs medical team-centered decision making across 16 clinical decisions, along with parents' assessments of 7 characteristics of those decisions. Respondents included 136 parents of infants in 1 of 3 academically affiliated hospital NICUs in Philadelphia, Pennsylvania, from January 7 to July 8, 2016. Respondents represented a wide range of educational levels, employment status, and household income but were predominantly female (109 [80.1%]), white (68 [50.0%]) or African American (53 [39.0%]), and married (81 of 132 responding [61.4%]). Preferences for parent-centered decision making. For each decision characteristic (eg, urgency), multivariable analyses tested whether middle and high levels of that characteristic (compared with low levels) were associated with a preference for parent-centered decision making, resulting in 2 odds ratios (ORs) per decision characteristic. Among the 136 respondents (109 women [80.1%] and 27 men [19.9%]; median age, 30 years [range, 18-43 years]), preferences for parent-centered decision making were positively associated with decisions that involved big-picture goals (middle OR, 2.01 [99% CI, 0.83-4.86]; high OR, 3.38 [99% CI, 1.48-7.75]) and that had the potential to harm the infant (middle OR, 1.32 [99% CI, 0.84-2.08]; high OR, 2.62 [99% CI, 1.67-4.11]). In contrast, preferences for parent-centered decision making were inversely associated with the following 4 decision characteristics: technical decisions (middle OR, 0.82 [99% CI, 0.45-1.52]; high OR, 0.48 [99% CI, 0.25-0.93]), the potential to benefit the infant (middle OR, 0.42 [99% CI, 0.16-1.05]; high OR, 0.21 [99% CI, 0.08-0.52]), requires medical expertise (middle OR, 0.48 [99% CI, 0.22-1.05]; high OR, 0.21 [99% CI, 0.10-0.48]), and a high level of urgency (middle OR, 0.47 [99% CI, 0.24-0.92]; high OR, 0.42 [99% CI, 0.22-0.83]). Preferences for parent-centered vs medical team-centered decision making among parents of infants in the NICU may vary systematically by the characteristics of particular clinical decisions. Incorporating this variation into shared decision making and endorsing models that allow parents to cede control to physicians in appropriate clinical circumstances might improve the quality and outcomes of medical decisions.

Improving decision speed, accuracy and group cohesion through early information gathering in house-hunting ants.

PubMed

Stroeymeyt, Nathalie; Giurfa, Martin; Franks, Nigel R

2010-09-29

Successful collective decision-making depends on groups of animals being able to make accurate choices while maintaining group cohesion. However, increasing accuracy and/or cohesion usually decreases decision speed and vice-versa. Such trade-offs are widespread in animal decision-making and result in various decision-making strategies that emphasize either speed or accuracy, depending on the context. Speed-accuracy trade-offs have been the object of many theoretical investigations, but these studies did not consider the possible effects of previous experience and/or knowledge of individuals on such trade-offs. In this study, we investigated how previous knowledge of their environment may affect emigration speed, nest choice and colony cohesion in emigrations of the house-hunting ant Temnothorax albipennis, a collective decision-making process subject to a classical speed-accuracy trade-off. Colonies allowed to explore a high quality nest site for one week before they were forced to emigrate found that nest and accepted it faster than emigrating naïve colonies. This resulted in increased speed in single choice emigrations and higher colony cohesion in binary choice emigrations. Additionally, colonies allowed to explore both high and low quality nest sites for one week prior to emigration remained more cohesive, made more accurate decisions and emigrated faster than emigrating naïve colonies. These results show that colonies gather and store information about available nest sites while their nest is still intact, and later retrieve and use this information when they need to emigrate. This improves colony performance. Early gathering of information for later use is therefore an effective strategy allowing T. albipennis colonies to improve simultaneously all aspects of the decision-making process--i.e. speed, accuracy and cohesion--and partly circumvent the speed-accuracy trade-off classically observed during emigrations. These findings should be taken into account in future studies on speed-accuracy trade-offs.

How parents and physicians experience end-of-life decision-making for children with profound intellectual and multiple disabilities.

PubMed

Zaal-Schuller, I H; Willems, D L; Ewals, F V P M; van Goudoever, J B; de Vos, M A

2016-12-01

End-of-life decisions (EoLD) often concern children with profound intellectual and multiple disabilities (PIMD). Yet, little is known about how parents and physicians discuss and make these decisions. The objective of this research was to investigate the experiences of the parents and the involved physician during the end-of-life decision-making (EoLDM) process for children with PIMD. In a retrospective, qualitative study, we conducted semi-structured interviews with the physicians and parents of 14 children with PIMD for whom an EoLD was made within the past two years. A long-lasting relationship appeared to facilitate the EoLDM process, although previous negative healthcare encounters could also lead to distrust. Parents and physicians encountered disagreements during the EoLDM process, but these disagreements could also improve the decision-making process. Most parents, as well as most physicians, considered the parents to be the experts on their child. In making an EoLD, both parents and physicians preferred a shared decision-making approach, although they differed in what they actually meant by this concept. The EoLDM process for children with PIMD can be improved if physicians are more aware of the specific situation and of the roles and expectations of the parents of children with PIMD. Copyright © 2016 Elsevier Ltd. All rights reserved.

Social decision-making: insights from game theory and neuroscience.

PubMed

Sanfey, Alan G

2007-10-26

By combining the models and tasks of Game Theory with modern psychological and neuroscientific methods, the neuroeconomic approach to the study of social decision-making has the potential to extend our knowledge of brain mechanisms involved in social decisions and to advance theoretical models of how we make decisions in a rich, interactive environment. Research has already begun to illustrate how social exchange can act directly on the brain's reward system, how affective factors play an important role in bargaining and competitive games, and how the ability to assess another's intentions is related to strategic play. These findings provide a fruitful starting point for improved models of social decision-making, informed by the formal mathematical approach of economics and constrained by known neural mechanisms.

A mechanism for value-sensitive decision-making.

PubMed

Pais, Darren; Hogan, Patrick M; Schlegel, Thomas; Franks, Nigel R; Leonard, Naomi E; Marshall, James A R

2013-01-01

We present a dynamical systems analysis of a decision-making mechanism inspired by collective choice in house-hunting honeybee swarms, revealing the crucial role of cross-inhibitory 'stop-signalling' in improving the decision-making capabilities. We show that strength of cross-inhibition is a decision-parameter influencing how decisions depend both on the difference in value and on the mean value of the alternatives; this is in contrast to many previous mechanistic models of decision-making, which are typically sensitive to decision accuracy rather than the value of the option chosen. The strength of cross-inhibition determines when deadlock over similarly valued alternatives is maintained or broken, as a function of the mean value; thus, changes in cross-inhibition strength allow adaptive time-dependent decision-making strategies. Cross-inhibition also tunes the minimum difference between alternatives required for reliable discrimination, in a manner similar to Weber's law of just-noticeable difference. Finally, cross-inhibition tunes the speed-accuracy trade-off realised when differences in the values of the alternatives are sufficiently large to matter. We propose that the model, and the significant role of the values of the alternatives, may describe other decision-making systems, including intracellular regulatory circuits, and simple neural circuits, and may provide guidance in the design of decision-making algorithms for artificial systems, particularly those functioning without centralised control.

Making business decisions using trend information

DOE Office of Scientific and Technical Information (OSTI.GOV)

Prevette, S.S., Westinghouse Hanford, Richland, WA

1997-11-24

Performance Measures, and the trend information that results from their analyses, can help managers in their decision making process. The business decisions that are to be discussed are: Assignment of limited Resources, Funding, Budget; Contractor Rewards/Incentives; Where to focus Process Improvement, Reengineering efforts; When to ask ``What Happened?!!``; Determine if a previous decision was effectively implemented. Trending can provide an input for rational Business Decisions. Key Element is determination of whether or not a significant trend exists - segregating Common Cause from Special Cause. The Control Chart is the tool for accomplishment of trending and determining if you are meetingmore » your Business Objectives. Eliminate Numerical Targets; the goal is Significant Improvement. Profound Knowledge requires integrating data results with gut feeling.« less

Primary care clinicians' experiences with treatment decision making for older persons with multiple conditions.

PubMed

Fried, Terri R; Tinetti, Mary E; Iannone, Lynne

2011-01-10

Clinicians are caring for an increasing number of older patients with multiple diseases in the face of uncertainty concerning the benefits and harms associated with guideline-directed interventions. Understanding how primary care clinicians approach treatment decision making for these patients is critical to the design of interventions to improve the decision-making process. Focus groups were conducted with 40 primary care clinicians (physicians, nurse practitioners, and physician assistants) in academic, community, and Veterans Affairs-affiliated primary care practices. Participants were given open-ended questions about their approach to treatment decision making for older persons with multiple medical conditions. Responses were organized into themes using qualitative content analysis. The participants were concerned about their patients' ability to adhere to complex regimens derived from guideline-directed care. There was variability in beliefs regarding, and approaches to balancing, the benefits and harms of guideline-directed care. There was also variability regarding how the participants involved patients in the process of decision making, with clinicians describing conflicts between their own and their patients' goals. The participants listed a number of barriers to making good treatment decisions, including the lack of outcome data, the role of specialists, patient and family expectations, and insufficient time and reimbursement. The experiences of practicing clinicians suggest that they struggle with the uncertainties of applying disease-specific guidelines to their older patients with multiple conditions. To improve decision making, they need more data, alternative guidelines, approaches to reconciling their own and their patients' priorities, the support of their subspecialist colleagues, and an altered reimbursement system.

Improving Shipboard Decision Making in the CBR-D (Chemical/Biological Radiological Defense) Environment: Concepts of Use for and Functional Description of a Decision Aid/Training System (DECAID)

DTIC Science & Technology

1988-08-19

take place over the period of several days. Decisions regarding MOPP level or resource allocation made on day I may have no immediate impact, but a...present -- conditions, and manage a resource library to assist the DCA in making decisions under conditions of uncertainty. Several areas of utilization are...students work through a scenario, the device couid then display the consequences of those decisions or provide optimal decision recommendations

Decision Aid for Cigarette Smokers Scheduled for Elective Surgery.

PubMed

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

2015-07-01

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. 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. The final decision aid consisted of three laminated cards. The front of each card included a colorful graphic describing each choice; the reverse including two to three 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 Scale and Observing PatienT involvement In decisiON-making scale, respectively). However, the decision aid did not affect any aspect of perioperative smoking behavior, including the distribution of or adherence to choices. Although the 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.

Reimbursement decisions in health policy--extending our understanding of the elements of decision-making.

PubMed

Wirtz, Veronika; Cribb, Alan; Barber, Nick

2005-09-08

Previous theoretical and empirical work on health policy decisions about reimbursement focuses on specific rationales such as effectiveness, economic considerations and equal access for equal needs. As reimbursement decisions take place in a social and political context we propose that the analysis of decision-making should incorporate factors, which go beyond those commonly discussed. As an example we chose three health technologies (sildenafil, rivastigmine and statins) to investigate how decisions about reimbursement of medicines are made in the United Kingdom National Health Service and what factors influence these decisions. From face-to-face, in-depth interviews with a purposive sample of 20 regional and national policy makers and stakeholders we identified two dimensions of decision-making, which extend beyond the rationales conventionally cited. The first dimension relates to the role of 'subjectivity' or 'the personal' in the decisions, including personal experiences of the condition and excitement about the novelty or potential benefit of the technology-these factors affect what counts as evidence, or how evidence is interpreted, in practice. The second dimension relates to the social and political function of decision-making and broadens what counts as the relevant ends of decision-making to include such things as maintaining relationships, avoiding organisational burden, generating politically and legally defensible decisions and demonstrating the willingness to care. More importantly, we will argue that these factors should not be treated as contaminants of an otherwise rational decision-making. On the contrary we suggest that they seem relevant, reasonable and also of substantial importance in considering in decision-making. Complementing the analysis of decision-making about reimbursement by incorporating these factors could increase our understanding and potentially improve decision-making.

Interventions to enhance informed choices among invitees of screening programmes-a systematic review.

PubMed

van Agt, Heleen M E; Korfage, Ida J; Essink-Bot, Marie-Louise

2014-10-01

Informed decision making about participation has become an explicit purpose in invitations for screening programmes in western countries. An informed choice is commonly defined as based on: (i) adequate levels of knowledge of the screening and (ii) agreement between the invitee's values towards own screening participation and actual (intention to) participation. We systematically reviewed published studies that empirically evaluated the effects of interventions aiming at enhancing informed decision making in screening programmes targeted at the general population. We focused on prenatal screening and neonatal screening for diseases of the foetus/new-born and screening for breast cancer, cervical cancer and colorectal cancer. The Medline, EMBASE and Cochrane databases were searched for studies published till April 2012, using the terms 'informed choice', 'decision making' and 'mass screening' separately and in combination and terms referring to the specific screening programmes. Of the 2238 titles identified, 15 studies were included, which evaluated decision aids (DAs), information leaflets, film, video, counselling and a specific screening visit for informed decision making in prenatal screening, breast and colorectal cancer screening. Most of the included studies evaluated DAs and showed improved knowledge and informed decision making. Due to the limited number of studies the results could not be synthesized. The empirical evidence regarding interventions to improve informed decision making in screening is limited. It is unknown which strategies to enhance informed decision making are most effective, although DAs are promising. Systematic development of interventions to enhance informed choices in screening deserves priority, especially in disadvantaged groups. © The Author 2014. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

The enactment stage of end-of-life decision-making for children.

PubMed

Sullivan, Jane Elizabeth; Gillam, Lynn Heather; Monagle, Paul Terence

2018-01-11

Typically pediatric end-of-life decision-making studies have examined the decision-making process, factors, and doctors' and parents' roles. Less attention has focussed on what happens after an end-of-life decision is made; that is, decision enactment and its outcome. This study explored the views and experiences of bereaved parents in end-of-life decision-making for their child. Findings reported relate to parents' experiences of acting on their decision. It is argued that this is one significant stage of the decision-making process. A qualitative methodology was used. Semi-structured interviews were conducted with bereaved parents, who had discussed end-of-life decisions for their child who had a life-limiting condition and who had died. Data were thematically analysed. Twenty-five bereaved parents participated. Findings indicate that, despite differences in context, including the child's condition and age, end-of-life decision-making did not end when an end-of-life decision was made. Enacting the decision was the next stage in a process. Time intervals between stages and enactment pathways varied, but the enactment was always distinguishable as a separate stage. Decision enactment involved making further decisions - parents needed to discern the appropriate time to implement their decision to withdraw or withhold life-sustaining medical treatment. Unexpected events, including other people's actions, impacted on parents enacting their decision in the way they had planned. Several parents had to re-implement decisions when their child recovered from serious health issues without medical intervention. Significance of results A novel, critical finding was that parents experienced end-of-life decision-making as a sequence of interconnected stages, the final stage being enactment. The enactment stage involved further decision-making. End-of-life decision-making is better understood as a process rather than a discrete once-off event. The enactment stage has particular emotional and practical implications for parents. Greater understanding of this stage can improve clinician's support for parents as they care for their child.

Quality assessment of decision-making in colorectal cancer multidisciplinary meetings.

PubMed

Seretis, Charalampos; Mankotia, Rajnish; Goonetilleke, Kolitha; Rawstorne, Edward

2014-01-01

The quality of decision-making in the colorectal multidisciplinary team (MDT) meetings can significantly affect the quality of care delivered to patients with colorectal cancer. We performed a prospective study to assess the quality of the MDT meetings in a specialized colorectal unit using an externally observational validated tool. An externally validated observational tool, the Colorectal Multidisciplinary Team Metric for Observation of Decision-Making (cMDT-MODe), was used to assess the quality of clinical decision-making in 64 cases. Although case history information presented by the responsible surgeon was rated high (4.4/5), the quality of radiological and histopathological information regarding each patient's case which was available at the time was less adequate, scoring 3.9/5 and 3.8/5, respectively. Moreover, the precise knowledge of patients' personal views and circumstances was a field requiring further improvement. In a general overview however, the quality and extent of the available information enabled the MDT to provide a clear recommendation regarding the patients' treatment plans in 87.5% of the cases. The cMDT-MODe tool can be used to prospectively audit the quality of clinical decision-making in the colorectal MDT meetings and highlight the fields of potential improvement.

Decision Making Impairment: A Shared Vulnerability in Obesity, Gambling Disorder and Substance Use Disorders?

PubMed Central

Mallorquí-Bagué, Nuria; Fagundo, Ana B.; Jimenez-Murcia, Susana; de la Torre, Rafael; Baños, Rosa M.; Botella, Cristina; Casanueva, Felipe F.; Crujeiras, Ana B.; Fernández-García, Jose C.; Fernández-Real, Jose M.; Frühbeck, Gema; Granero, Roser; Rodríguez, Amaia; Tolosa-Sola, Iris; Ortega, Francisco J.; Tinahones, Francisco J.; Alvarez-Moya, Eva; Ochoa, Cristian; Menchón, Jose M.

2016-01-01

Introduction Addictions are associated with decision making impairments. The present study explores decision making in Substance use disorder (SUD), Gambling disorder (GD) and Obesity (OB) when assessed by Iowa Gambling Task (IGT) and compares them with healthy controls (HC). Methods For the aims of this study, 591 participants (194 HC, 178 GD, 113 OB, 106 SUD) were assessed according to DSM criteria, completed a sociodemographic interview and conducted the IGT. Results SUD, GD and OB present impaired decision making when compared to the HC in the overall task and task learning, however no differences are found for the overall performance in the IGT among the clinical groups. Results also reveal some specific learning across the task patterns within the clinical groups: OB maintains negative scores until the third set where learning starts but with a less extend to HC, SUD presents an early learning followed by a progressive although slow improvement and GD presents more random choices with no learning. Conclusions Decision making impairments are present in the studied clinical samples and they display individual differences in the task learning. Results can help understanding the underlying mechanisms of OB and addiction behaviors as well as improve current clinical treatments. PMID:27690367

VALUATION OF ECOLOGICAL RESOURCES: INTEGRATION OF ECOLOGY AND SOCIOECONOMICS IN ENVIRONMENTAL DECISION MAKING

EPA Science Inventory

In October 2003, a Pellston Workshop on Valuation of Ecological Resources was organized by SETAC to examine the integration of ecological assessment and socioeconomics to improve environmental decision-making. The workshop brought together a multidisciplinary group of distinguis...

Real-time data to improve en route decision making and reduce transportation demand.

DOT National Transportation Integrated Search

2009-07-01

One approach to mitigating traffic and strains on the transportation system is to shift focus from supply to demand. : When provided with good information and sufficient motivation, users of a transportation system can make : decisions that will resu...

Value judgements in the decision-making process for the elderly patient.

PubMed

Ubachs-Moust, J; Houtepen, R; Vos, R; ter Meulen, R

2008-12-01

The question of whether old age should or should not play a role in medical decision-making for the elderly patient is regularly debated in ethics and medicine. In this paper we investigate exactly how age influences the decision-making process. To explore the normative argumentation in the decisions regarding an elderly patient we make use of the argumentation model advanced by Toulmin. By expanding the model in order to identify normative components in the argumentation process it is possible to analyse the way that age-related value judgements influence the medical decision-making process. We apply the model to practice descriptions made by medical students after they had attended consultations and meetings in medical practice during their clinical training. Our results show the pervasive character of age-related value judgements. They influence the physician's decision in several ways and at several points in the decision-making process. Such explicit value judgements were not exclusively used for arguments against further diagnosis or treatment of older patients. We found no systematic "ageist" pattern in the clinical decisions by physicians. Since age plays such an important, yet hidden role in the medical decision-making process, we make a plea for revealing such normative argumentation in order to gain transparency and accountability in this process. An explicit deliberative approach will make the medical decision-making process more transparent and improve the physician-patient relationship, creating confidence and trust, which are at the heart of medical practice.

NREL Collaborates with Trucking Industry to Prioritize R&D Opportunities |

Science.gov Websites

Department drive decision-making and improve efficiency, informing long-term, high-risk research such as the Rosa Using Data to Drive Decision Making NREL's fleet test and evaluation team conducts real-world 21CTP an example of NREL's data evaluation and decision support capabilities. Using data collected in

Evaluating the effectiveness of the Emergency Neurological Life Support educational framework in low-income countries

PubMed Central

McCredie, Victoria A; Shrestha, Gentle S; Acharya, Subhash; Bellini, Antonio; Singh, Jeffrey M; Hemphill, J Claude; Goffi, Alberto

2018-01-01

Abstract Background The Emergency Neurological Life Support (ENLS) is an educational initiative designed to improve the acute management of neurological injuries. However, the applicability of the course in low-income countries in unknown. We evaluated the impact of the course on knowledge, decision-making skills and preparedness to manage neurological emergencies in a resource-limited country. Methods A prospective cohort study design was implemented for the first ENLS course held in Asia. Knowledge and decision-making skills for neurological emergencies were assessed at baseline, post-course and at 6 months following course completion. To determine perceived knowledge and preparedness, data were collected using surveys administered immediately post-course and 6 months later. Results A total of 34 acute care physicians from across Nepal attended the course. Knowledge and decision-making skills significantly improved following the course (p=0.0008). Knowledge and decision-making skills remained significantly improved after 6 months, compared with before the course (p=0.02), with no significant loss of skills immediately following the course to the 6-month follow-up (p=0.16). At 6 months, the willingness to participate in continuing medical education activities remained evident, with 77% (10/13) of participants reporting a change in their clinical practice and decision-making, with the repeated use of ENLS protocols as the main driver of change. Conclusions Using the ENLS framework, neurocritical care education can be delivered in low-income countries to improve knowledge uptake, with evidence of knowledge retention up to 6 months. PMID:29506188

A review of clinical decision making: models and current research.

PubMed

Banning, Maggi

2008-01-01

The aim of this paper was to review the current literature clinical decision-making models and the educational application of models to clinical practice. This was achieved by exploring the function and related research of the three available models of clinical decision making: information-processing model, the intuitive-humanist model and the clinical decision-making model. Clinical decision making is a unique process that involves the interplay between knowledge of pre-existing pathological conditions, explicit patient information, nursing care and experiential learning. Historically, two models of clinical decision making are recognized from the literature; the information-processing model and the intuitive-humanist model. The usefulness and application of both models has been examined in relation the provision of nursing care and care related outcomes. More recently a third model of clinical decision making has been proposed. This new multidimensional model contains elements of the information-processing model but also examines patient specific elements that are necessary for cue and pattern recognition. Literature review. Evaluation of the literature generated from MEDLINE, CINAHL, OVID, PUBMED and EBESCO systems and the Internet from 1980 to November 2005. The characteristics of the three models of decision making were identified and the related research discussed. Three approaches to clinical decision making were identified, each having its own attributes and uses. The most recent addition to the clinical decision making is a theoretical, multidimensional model which was developed through an evaluation of current literature and the assessment of a limited number of research studies that focused on the clinical decision-making skills of inexperienced nurses in pseudoclinical settings. The components of this model and the relative merits to clinical practice are discussed. It is proposed that clinical decision making improves as the nurse gains experience of nursing patients within a specific speciality and with experience, nurses gain a sense of saliency in relation to decision making. Experienced nurses may use all three forms of clinical decision making both independently and concurrently to solve nursing-related problems. It is suggested that O'Neill's clinical decision-making model could be tested by educators and experienced nurses to assess the efficacy of this hybrid approach to decision making.

Does improved decision-making ability reduce the physiological demands of game-based activities in field sport athletes?

PubMed

Gabbett, Tim J; Carius, Josh; Mulvey, Mike

2008-11-01

This study investigated the effects of video-based perceptual training on pattern recognition and pattern prediction ability in elite field sport athletes and determined whether enhanced perceptual skills influenced the physiological demands of game-based activities. Sixteen elite women soccer players (mean +/- SD age, 18.3 +/- 2.8 years) were allocated to either a video-based perceptual training group (N = 8) or a control group (N = 8). The video-based perceptual training group watched video footage of international women's soccer matches. Twelve training sessions, each 15 minutes in duration, were conducted during a 4-week period. Players performed assessments of speed (5-, 10-, and 20-m sprint), repeated-sprint ability (6 x 20-m sprints, with active recovery on a 15-second cycle), estimated maximal aerobic power (V O2 max, multistage fitness test), and a game-specific video-based perceptual test of pattern recognition and pattern prediction before and after the 4 weeks of video-based perceptual training. The on-field assessments included time-motion analysis completed on all players during a standardized 45-minute small-sided training game, and assessments of passing, shooting, and dribbling decision-making ability. No significant changes were detected in speed, repeated-sprint ability, or estimated V O2 max during the training period. However, video-based perceptual training improved decision accuracy and reduced the number of recall errors, indicating improved game awareness and decision-making ability. Importantly, the improvements in pattern recognition and prediction ability transferred to on-field improvements in passing, shooting, and dribbling decision-making skills. No differences were detected between groups for the time spent standing, walking, jogging, striding, and sprinting during the small-sided training game. These findings demonstrate that video-based perceptual training can be used effectively to enhance the decision-making ability of field sport athletes; however, it has no effect on the physiological demands of game-based activities.

Separating Business Logic from Medical Knowledge in Digital Clinical Workflows Using Business Process Model and Notation and Arden Syntax.

PubMed

de Bruin, Jeroen S; Adlassnig, Klaus-Peter; Leitich, Harald; Rappelsberger, Andrea

2018-01-01

Evidence-based clinical guidelines have a major positive effect on the physician's decision-making process. Computer-executable clinical guidelines allow for automated guideline marshalling during a clinical diagnostic process, thus improving the decision-making process. Implementation of a digital clinical guideline for the prevention of mother-to-child transmission of hepatitis B as a computerized workflow, thereby separating business logic from medical knowledge and decision-making. We used the Business Process Model and Notation language system Activiti for business logic and workflow modeling. Medical decision-making was performed by an Arden-Syntax-based medical rule engine, which is part of the ARDENSUITE software. We succeeded in creating an electronic clinical workflow for the prevention of mother-to-child transmission of hepatitis B, where institution-specific medical decision-making processes could be adapted without modifying the workflow business logic. Separation of business logic and medical decision-making results in more easily reusable electronic clinical workflows.

Effectiveness of a theoretically-based judgment and decision making intervention for adolescents.

PubMed

Knight, Danica K; Dansereau, Donald F; Becan, Jennifer E; Rowan, Grace A; Flynn, Patrick M

2015-05-01

Although adolescents demonstrate capacity for rational decision making, their tendency to be impulsive, place emphasis on peers, and ignore potential consequences of their actions often translates into higher risk-taking including drug use, illegal activity, and physical harm. Problems with judgment and decision making contribute to risky behavior and are core issues for youth in treatment. Based on theoretical and empirical advances in cognitive science, the Treatment Readiness and Induction Program (TRIP) represents a curriculum-based decision making intervention that can be easily inserted into a variety of content-oriented modalities as well as administered as a separate therapeutic course. The current study examined the effectiveness of TRIP for promoting better judgment among 519 adolescents (37 % female; primarily Hispanic and Caucasian) in residential substance abuse treatment. Change over time in decision making and premeditation (i.e., thinking before acting) was compared among youth receiving standard operating practice (n = 281) versus those receiving standard practice plus TRIP (n = 238). Change in TRIP-specific content knowledge was examined among clients receiving TRIP. Premeditation improved among youth in both groups; TRIP clients showed greater improvement in decision making. TRIP clients also reported significant increases over time in self-awareness, positive-focused thinking (e.g., positive self-talk, goal setting), and recognition of the negative effects of drug use. While both genders showed significant improvement, males showed greater gains in metacognitive strategies (i.e., awareness of one's own cognitive process) and recognition of the negative effects of drug use. These results suggest that efforts to teach core thinking strategies and apply/practice them through independent intervention modules may benefit adolescents when used in conjunction with content-based programs designed to change problematic behaviors.

Effectiveness of a Theoretically-Based Judgment and Decision Making Intervention for Adolescents

PubMed Central

Knight, Danica K.; Dansereau, Donald F.; Becan, Jennifer E.; Rowan, Grace A.; Flynn, Patrick M.

2014-01-01

Although adolescents demonstrate capacity for rational decision making, their tendency to be impulsive, place emphasis on peers, and ignore potential consequences of their actions often translates into higher risk-taking including drug use, illegal activity, and physical harm. Problems with judgment and decision making contribute to risky behavior and are core issues for youth in treatment. Based on theoretical and empirical advances in cognitive science, the Treatment Readiness and Induction Program (TRIP) represents a curriculum-based decision making intervention that can be easily inserted into a variety of content-oriented modalities as well as administered as a separate therapeutic course. The current study examined the effectiveness of TRIP for promoting better judgment among 519 adolescents (37% female; primarily Hispanic and Caucasian) in residential substance abuse treatment. Change over time in decision making and premeditation (i.e., thinking before acting) was compared among youth receiving standard operating practice (n = 281) versus those receiving standard practice plus TRIP (n = 238). Change in TRIP-specific content knowledge was examined among clients receiving TRIP. Premeditation improved among youth in both groups; TRIP clients showed greater improvement in decision making. TRIP clients also reported significant increases over time in self-awareness, positive-focused thinking (e.g., positive self-talk, goal setting), and recognition of the negative effects of drug use. While both genders showed significant improvement, males showed greater gains in metacognitive strategies (i.e., awareness of one’s own cognitive process) and recognition of the negative effects of drug use. These results suggest that efforts to teach core thinking strategies and apply/practice them through independent intervention modules may benefit adolescents when used in conjunction with content-based programs designed to change problematic behaviors. PMID:24760288

Voice, Collaboration and School Culture: Creating a Community for School Improvement. Evaluation of the Pioneer SCBM Schools, Hawaii's School/Community-Based Management Initiative. Executive Summary.

ERIC Educational Resources Information Center

Izu, Jo Ann; And Others

Site-based management is designed to bring decision making to the school level and involve all stakeholders in a process that will result ultimately in improved student outcomes. Enacted into law in June 1989, Hawaii's School/Community-Based Management Initiative (SCBM) is part of a national trend toward decentralizing decision making and…

How to Implement the Ways of Knowing through the Realms of Meaning as an Ethical Decision-Making Process to Improve Academic Achievement--Ten Recommendations

ERIC Educational Resources Information Center

Skinner, Desiree A.; Kritsonis, William Allan

2006-01-01

"Values, purposes, and understandings are fragile achievements and give way all too readily to attitudes of futility, frustration, and doubt" (Kritsonis, 2007, pg. 7). Ethical decision-making is one way for school leaders to contribute to improving education. Effecting change is the duty of school principals; this may often come in making…

Information giving and decision-making in patients with advanced cancer: a systematic review.

PubMed

Gaston, Christine M; Mitchell, Geoffrey

2005-11-01

Patients with advanced, non-curable cancer face difficult decisions on further treatment, where a small increase in survival time must be balanced against the toxicity of the treatment. If patients want to be involved in these decisions, in keeping with current notions of autonomy and empowerment, they also require to be adequately informed both on the treatments proposed and on their own disease status and prognosis. A systematic review was performed on decision-making and information provision in patients with advanced cancer. Studies of interventions to improve information giving and encourage participation in decision-making were reviewed, including both randomised controlled trials and uncontrolled studies. Almost all patients expressed a desire for full information, but only about two-thirds wished to participate actively in decision-making. Higher educational level, younger age and female sex were predictive of a desire to participate in decision-making. Active decision-making was more common in patients with certain cancers (e.g. breast) than others (e.g. prostate). A number of simple interventions including question prompt sheets, audio-taping of consultations and patient decision aids have been shown to facilitate such involvement.

Effects of Information Visualization on Older Adults' Decision-Making Performance in a Medicare Plan Selection Task: A Comparative Usability Study.

PubMed

Price, Margaux M; Crumley-Branyon, Jessica J; Leidheiser, William R; Pak, Richard

2016-06-01

Technology gains have improved tools for evaluating complex tasks by providing environmental supports (ES) that increase ease of use and improve performance outcomes through the use of information visualizations (info-vis). Complex info-vis emphasize the need to understand individual differences in abilities of target users, the key cognitive abilities needed to execute a decision task, and the graphical elements that can serve as the most effective ES. Older adults may be one such target user group that would benefit from increased ES to mitigate specific declines in cognitive abilities. For example, choosing a prescription drug plan is a necessary and complex task that can impact quality of life if the wrong choice is made. The decision to enroll in one plan over another can involve comparing over 15 plans across many categories. Within this context, the large amount of complex information and reduced working memory capacity puts older adults' decision making at a disadvantage. An intentionally designed ES, such as an info-vis that reduces working memory demand, may assist older adults in making the most effective decision among many options. The objective of this study is to examine whether the use of an info-vis can lower working memory demands and positively affect complex decision-making performance of older adults in the context of choosing a Medicare prescription drug plan. Participants performed a computerized decision-making task in the context of finding the best health care plan. Data included quantitative decision-making performance indicators and surveys examining previous history with purchasing insurance. Participants used a colored info-vis ES or a table (no ES) to perform the decision task. Task difficulty was manipulated by increasing the number of selection criteria used to make an accurate decision. A repeated measures analysis was performed to examine differences between the two table designs. Twenty-three older adults between the ages of 66 and 80 completed the study. There was a main effect for accuracy such that older adults made more accurate decisions in the color info-vis condition than the table condition. In the low difficulty condition, participants were more successful at choosing the correct answer when the question was about the gap coverage attribute in the info-vis condition. Participants also made significantly faster decisions in the info-vis condition than in the table condition. Reducing the working memory demand of the task through the use of an ES can improve decision accuracy, especially when selection criteria is only focused on a single attribute of the insurance plan.

Expected value information improves financial risk taking across the adult life span.

PubMed

Samanez-Larkin, Gregory R; Wagner, Anthony D; Knutson, Brian

2011-04-01

When making decisions, individuals must often compensate for cognitive limitations, particularly in the face of advanced age. Recent findings suggest that age-related variability in striatal activity may increase financial risk-taking mistakes in older adults. In two studies, we sought to further characterize neural contributions to optimal financial risk taking and to determine whether decision aids could improve financial risk taking. In Study 1, neuroimaging analyses revealed that individuals whose mesolimbic activation correlated with the expected value estimates of a rational actor made more optimal financial decisions. In Study 2, presentation of expected value information improved decision making in both younger and older adults, but the addition of a distracting secondary task had little impact on decision quality. Remarkably, provision of expected value information improved the performance of older adults to match that of younger adults at baseline. These findings are consistent with the notion that mesolimbic circuits play a critical role in optimal choice, and imply that providing simplified information about expected value may improve financial risk taking across the adult life span.

Models based on value and probability in health improve shared decision making.

PubMed

Ortendahl, Monica

2008-10-01

Diagnostic reasoning and treatment decisions are a key competence of doctors. A model based on values and probability provides a conceptual framework for clinical judgments and decisions, and also facilitates the integration of clinical and biomedical knowledge into a diagnostic decision. Both value and probability are usually estimated values in clinical decision making. Therefore, model assumptions and parameter estimates should be continually assessed against data, and models should be revised accordingly. Introducing parameter estimates for both value and probability, which usually pertain in clinical work, gives the model labelled subjective expected utility. Estimated values and probabilities are involved sequentially for every step in the decision-making process. Introducing decision-analytic modelling gives a more complete picture of variables that influence the decisions carried out by the doctor and the patient. A model revised for perceived values and probabilities by both the doctor and the patient could be used as a tool for engaging in a mutual and shared decision-making process in clinical work.

Use of statistical and pharmacokinetic-pharmacodynamic modeling and simulation to improve decision-making: A section summary report of the trends and innovations in clinical trial statistics conference.

PubMed

Kimko, Holly; Berry, Seth; O'Kelly, Michael; Mehrotra, Nitin; Hutmacher, Matthew; Sethuraman, Venkat

2017-01-01

The application of modeling and simulation (M&S) methods to improve decision-making was discussed during the Trends & Innovations in Clinical Trial Statistics Conference held in Durham, North Carolina, USA on May 1-4, 2016. Uses of both pharmacometric and statistical M&S were presented during the conference, highlighting the diversity of the methods employed by pharmacometricians and statisticians to address a broad range of quantitative issues in drug development. Five presentations are summarized herein, which cover the development strategy of employing M&S to drive decision-making; European initiatives on best practice in M&S; case studies of pharmacokinetic/pharmacodynamics modeling in regulatory decisions; estimation of exposure-response relationships in the presence of confounding; and the utility of estimating the probability of a correct decision for dose selection when prior information is limited. While M&S has been widely used during the last few decades, it is expected to play an essential role as more quantitative assessments are employed in the decision-making process. By integrating M&S as a tool to compile the totality of evidence collected throughout the drug development program, more informed decisions will be made.

Rationality versus reality: the challenges of evidence-based decision making for health policy makers

PubMed Central

2010-01-01

Background Current healthcare systems have extended the evidence-based medicine (EBM) approach to health policy and delivery decisions, such as access-to-care, healthcare funding and health program continuance, through attempts to integrate valid and reliable evidence into the decision making process. These policy decisions have major impacts on society and have high personal and financial costs associated with those decisions. Decision models such as these function under a shared assumption of rational choice and utility maximization in the decision-making process. Discussion We contend that health policy decision makers are generally unable to attain the basic goals of evidence-based decision making (EBDM) and evidence-based policy making (EBPM) because humans make decisions with their naturally limited, faulty, and biased decision-making processes. A cognitive information processing framework is presented to support this argument, and subtle cognitive processing mechanisms are introduced to support the focal thesis: health policy makers' decisions are influenced by the subjective manner in which they individually process decision-relevant information rather than on the objective merits of the evidence alone. As such, subsequent health policy decisions do not necessarily achieve the goals of evidence-based policy making, such as maximizing health outcomes for society based on valid and reliable research evidence. Summary In this era of increasing adoption of evidence-based healthcare models, the rational choice, utility maximizing assumptions in EBDM and EBPM, must be critically evaluated to ensure effective and high-quality health policy decisions. The cognitive information processing framework presented here will aid health policy decision makers by identifying how their decisions might be subtly influenced by non-rational factors. In this paper, we identify some of the biases and potential intervention points and provide some initial suggestions about how the EBDM/EBPM process can be improved. PMID:20504357

Rationality versus reality: the challenges of evidence-based decision making for health policy makers.

PubMed

McCaughey, Deirdre; Bruning, Nealia S

2010-05-26

Current healthcare systems have extended the evidence-based medicine (EBM) approach to health policy and delivery decisions, such as access-to-care, healthcare funding and health program continuance, through attempts to integrate valid and reliable evidence into the decision making process. These policy decisions have major impacts on society and have high personal and financial costs associated with those decisions. Decision models such as these function under a shared assumption of rational choice and utility maximization in the decision-making process. We contend that health policy decision makers are generally unable to attain the basic goals of evidence-based decision making (EBDM) and evidence-based policy making (EBPM) because humans make decisions with their naturally limited, faulty, and biased decision-making processes. A cognitive information processing framework is presented to support this argument, and subtle cognitive processing mechanisms are introduced to support the focal thesis: health policy makers' decisions are influenced by the subjective manner in which they individually process decision-relevant information rather than on the objective merits of the evidence alone. As such, subsequent health policy decisions do not necessarily achieve the goals of evidence-based policy making, such as maximizing health outcomes for society based on valid and reliable research evidence. In this era of increasing adoption of evidence-based healthcare models, the rational choice, utility maximizing assumptions in EBDM and EBPM, must be critically evaluated to ensure effective and high-quality health policy decisions. The cognitive information processing framework presented here will aid health policy decision makers by identifying how their decisions might be subtly influenced by non-rational factors. In this paper, we identify some of the biases and potential intervention points and provide some initial suggestions about how the EBDM/EBPM process can be improved.

Multi-criteria decision analysis for health technology assessment in Canada: insights from an expert panel discussion.

PubMed

Diaby, Vakaramoko; Goeree, Ron; Hoch, Jeffrey; Siebert, Uwe

2015-02-01

Multi-criteria decision analysis (MCDA), a decision-making tool, has received increasing attention in recent years, notably in the healthcare field. For Canada, it is unclear whether and how MCDA should be incorporated into the existing health technology assessment (HTA) decision-making process. To facilitate debate on improving HTA decision-making in Canada, a workshop was held in conjunction with the 8th World Congress on Health Economics of the International Health Economics Association in Toronto, Canada in July 2011. The objective of the workshop was to discuss the potential benefits and challenges related to the use of MCDA for HTA decision-making in Canada. This paper summarizes and discusses the recommendations of an expert panel convened at the workshop to discuss opportunities and concerns with reference to the implementation of MCDA in Canada.

Diagnostic decision-making and strategies to improve diagnosis.

PubMed

Thammasitboon, Satid; Cutrer, William B

2013-10-01

A significant portion of diagnostic errors arises through cognitive errors resulting from inadequate knowledge, faulty data gathering, and/or faulty verification. Experts estimate that 75% of diagnostic failures can be attributed to clinician diagnostic thinking failure. The cognitive processes that underlie diagnostic thinking of clinicians are complex and intriguing, and it is imperative that clinicians acquire explicit appreciation and application of different cognitive approaches to make decisions better. A dual-process model that unifies many theories of decision-making has emerged as a promising template for understanding how clinicians think and judge efficiently in a diagnostic reasoning process. The identification and implementation of strategies for decreasing or preventing such diagnostic errors has become a growing area of interest and research. Suggested strategies to decrease diagnostic error incidence include increasing clinician's clinical expertise and avoiding inherent cognitive errors to make decisions better. Implementing Interventions focused solely on avoiding errors may work effectively for patient safety issues such as medication errors. Addressing cognitive errors, however, requires equal effort on expanding the individual clinician's expertise. Providing cognitive support to clinicians for robust diagnostic decision-making serves as the final strategic target for decreasing diagnostic errors. Clinical guidelines and algorithms offer another method for streamlining decision-making and decreasing likelihood of cognitive diagnostic errors. Addressing cognitive processing errors is undeniably the most challenging task in reducing diagnostic errors. While many suggested approaches exist, they are mostly based on theories and sciences in cognitive psychology, decision-making, and education. The proposed interventions are primarily suggestions and very few of them have been tested in the actual practice settings. Collaborative research effort is required to effectively address cognitive processing errors. Researchers in various areas, including patient safety/quality improvement, decision-making, and problem solving, must work together to make medical diagnosis more reliable. © 2013 Mosby, Inc. All rights reserved.

The effect of simulated narratives that leverage EMR data on shared decision-making: a pilot study.

PubMed

Zeng-Treitler, Qing; Gibson, Bryan; Hill, Brent; Butler, Jorie; Christensen, Carrie; Redd, Douglas; Shao, Yijun; Bray, Bruce

2016-07-22

Shared decision-making can improve patient satisfaction and outcomes. To participate in shared decision-making, patients need information about the potential risks and benefits of treatment options. Our team has developed a novel prototype tool for shared decision-making called hearts like mine (HLM) that leverages EHR data to provide personalized information to patients regarding potential outcomes of different treatments. These potential outcomes are presented through an Icon array and/or simulated narratives for each "person" in the display. In this pilot project we sought to determine whether the inclusion of simulated narratives in the display affects individuals' decision-making. Thirty subjects participated in this block-randomized study in which they used a version of HLM with simulated narratives and a version without (or in the opposite order) to make a hypothetical therapeutic decision. After each decision, participants completed a questionnaire that measured decisional confidence. We used Chi square tests to compare decisions across conditions and Mann-Whitney U tests to examine the effects of narratives on decisional confidence. Finally, we calculated the mean of subjects' post-experiment rating of whether narratives were helpful in their decision-making. In this study, there was no effect of simulated narratives on treatment decisions (decision 1: Chi squared = 0, p = 1.0; decision 2: Chi squared = 0.574, p = 0.44) or Decisional confidence (decision 1, w = 105.5, p = 0.78; decision 2, w = 86.5, p = 0.28). Post-experiment, participants reported that narratives helped them to make decisions (mean = 3.3/4). We found that simulated narratives had no measurable effect on decisional confidence or decisions and most participants felt that the narratives were helpful to them in making therapeutic decisions. The use of simulated stories holds promise for promoting shared decision-making while minimizing their potential biasing effect.

Fertility preservation and cancer: Challenges for adolescent and young adult patients

PubMed Central

Benedict, Catherine; Thom, Bridgette; Kelvin, Joanne

2016-01-01

Purpose of review With increasing survival rates, fertility is an important quality of life concern for many young cancer patients. There is a critical need for improvements in clinical care to ensure patients are well informed about infertility risks and fertility preservation (FP) options and to support them in their reproductive decision-making prior to treatment. Recent findings A number of barriers prevent fertility from being adequately addressed in the clinical context. Providers’ and patients’ incomplete or inaccurate understanding of infertility risks exacerbate patients’ reproductive concerns. For female patients in particular, making decisions about FP before treatment often leads to decision conflict, reducing the likelihood of making informed, values-based decisions, and post-treatment regret and distress. Recent empirically-based interventions to improve provider training around fertility issues and to support patient decision-making about FP show promise. Summary Providers should be knowledgeable about the infertility risks associated with cancer therapies and proactively address fertility with all patients who might one day wish to have a child. Comprehensive counseling should also include related issues such as contraceptive use and health implications of early menopause, regardless of desire for future children. Although the negative psychosocial impact of cancer-related infertility is now well accepted, limited work has been done to explore how to improve clinical management of fertility issues in the context of cancer care. Evidence-based interventions should be developed to address barriers and provide psychosocial and decision-making support to patients who are concerned about their fertility and interested in FP options. PMID:26730794

Risk communication and decision-making in the prevention of invasive breast cancer.

PubMed

Partridge, Ann H

2017-08-01

Risk communication surrounding the prevention of invasive breast cancer entails not only understanding of the disease, risks and opportunities for intervention. But it also requires understanding and implementation of optimal strategies for communication with patients who are making these decisions. In this article, available evidence for the issues surrounding risk communication and decision making in the prevention of invasive breast cancer are reviewed and strategies for improvement are discussed. Copyright © 2017 Elsevier Ltd. All rights reserved.

Spatial education: improving conservation delivery through space-structured decision making

USGS Publications Warehouse

Moore, Clinton T.; Shaffer, Terry L.; Gannon, Jill J.

2013-01-01

Adaptive management is a form of structured decision making designed to guide management of natural resource systems when their behaviors are uncertain. Where decision making can be replicated across units of a landscape, learning can be accelerated, and biological processes can be understood in a larger spatial context. Broad-based partnerships among land management agencies, exemplified by Landscape Conservation Cooperatives (conservation partnerships created through the U.S. Department of the Interior), are potentially ideal environments for implementing spatially structured adaptive management programs.

Analytical tool for measuring emissions impact of acceleration and deceleration lanes : final report.

DOT National Transportation Integrated Search

2001-04-01

Air quality has become one of the important factors to be considered in making transportation improvement : decisions. Thus, tools are expected to help such decision-makings. On the other hand, MOBILE5 model, which : has been widely used in evaluatin...

Market analysis of collecting fundamental roadway data elements to support the highway safety improvement program.

DOT National Transportation Integrated Search

2011-06-01

Quality data are the foundation for making important decisions regarding the design, operation, and safety of : roadways. Using roadway and traffic data together with crash data can help agencies to make decisions that are : fiscally responsible and ...

An examination of the impact of five grade crossing safety factors on driver decision making

DOT National Transportation Integrated Search

2014-04-01

The authors applied signal detection theory to model the impact : of five grade-crossing safety factors to understand their impact : on driver decision making. The safety factors were improving : commercial motor vehicle (CMV) driver safety through f...

The use of a cognitive task analysis-based multimedia program to teach surgical decision making in flexor tendon repair.

PubMed

Luker, Kali R; Sullivan, Maura E; Peyre, Sarah E; Sherman, Randy; Grunwald, Tiffany

2008-01-01

The aim of this study was to compare the surgical knowledge of residents before and after receiving a cognitive task analysis-based multimedia teaching module. Ten plastic surgery residents were evaluated performing flexor tendon repair on 3 occasions. Traditional learning occurred between the first and second trial and served as the control. A teaching module was introduced as an intervention between the second and third trial using cognitive task analysis to illustrate decision-making skills. All residents showed improvement in their decision-making ability when performing flexor tendon repair after each surgical procedure. The group improved through traditional methods as well as exposure to our talk-aloud protocol (P > .01). After being trained using the cognitive task analysis curriculum the group displayed a statistically significant knowledge expansion (P < .01). Residents receiving cognitive task analysis-based multimedia surgical curriculum instruction achieved greater command of problem solving and are better equipped to make correct decisions in flexor tendon repair.

Medical Decision-Making for Adults Who Lack Decision-Making Capacity and a Surrogate: State of the Science.

PubMed

Kim, Hyejin; Song, Mi-Kyung

2018-01-01

Adults who lack decision-making capacity and a surrogate ("unbefriended" adults) are a vulnerable, voiceless population in health care. But little is known about this population, including how medical decisions are made for these individuals. This integrative review was to examine what is known about unbefriended adults and identify gaps in the literature. Six electronic databases were searched using 4 keywords: "unbefriended," "unrepresented patients," "adult orphans," and "incapacitated patients without surrogates." After screening, the final sample included 10 data-based articles for synthesis. Main findings include the following: (1) various terms were used to refer to adults who lack decision-making capacity and a surrogate; (2) the number of unbefriended adults was sizable and likely to grow; (3) approaches to medical decision-making for this population in health-care settings varied; and (4) professional guidelines and laws to address the issues related to this population were inconsistent. There have been no studies regarding the quality of medical decision-making and its outcomes for this population or societal impact. Extremely limited empirical data exist on unbefriended adults to develop strategies to improve how medical decisions are made for this population. There is an urgent need for research to examine the quality of medical decision-making and its outcomes for this vulnerable population.

Cultural targeting and tailoring of shared decision making technology: a theoretical framework for improving the effectiveness of patient decision aids in culturally diverse groups.

PubMed

Alden, Dana L; Friend, John; Schapira, Marilyn; Stiggelbout, Anne

2014-03-01

Patient decision aids are known to positively impact outcomes critical to shared decision making (SDM), such as gist knowledge and decision preparedness. However, research on the potential improvement of these and other important outcomes through cultural targeting and tailoring of decision aids is very limited. This is the case despite extensive evidence supporting use of cultural targeting and tailoring to improve the effectiveness of health communications. Building on prominent psychological theory, we propose a two-stage framework incorporating cultural concepts into the design process for screening and treatment decision aids. The first phase recommends use of cultural constructs, such as collectivism and individualism, to differentially target patients whose cultures are known to vary on these dimensions. Decision aid targeting is operationalized through use of symbols and values that appeal to members of the given culture. Content dimensions within decision aids that appear particularly appropriate for targeting include surface level visual characteristics, language, beliefs, attitudes and values. The second phase of the framework is based on evidence that individuals vary in terms of how strongly cultural norms influence their approach to problem solving and decision making. In particular, the framework hypothesizes that differences in terms of access to cultural mindsets (e.g., access to interdependent versus independent self) can be measured up front and used to tailor decision aids. Thus, the second phase in the framework emphasizes the importance of not only targeting decision aid content, but also tailoring the information to the individual based on measurement of how strongly he/she is connected to dominant cultural mindsets. Overall, the framework provides a theory-based guide for researchers and practitioners who are interested in using cultural targeting and tailoring to develop and test decision aids that move beyond a "one-size fits all" approach and thereby, improve SDM in our multicultural world. Copyright © 2014 Elsevier Ltd. All rights reserved.

Decision-making in diabetes mellitus type 1.

PubMed

Rustad, James K; Musselman, Dominique L; Skyler, Jay S; Matheson, Della; Delamater, Alan; Kenyon, Norma S; Cáceda, Ricardo; Nemeroff, Charles B

2013-01-01

Decreased treatment adherence in patients with diabetes mellitus type 1 (type 1 DM) may reflect impairments in decision-making and underlying associated deficits in working memory and executive functioning. Other factors, including comorbid major depression, may also interfere with decision-making. The authors sought to review the clinically relevant characteristics of decision-making in type 1 DM by surveying the literature on decision-making by patients with type 1 DM. Deficiencies in decision-making in patients with type 1 DM or their caregivers contribute to treatment nonadherence and poorer metabolic control. Animal models of type 1 DM reveal deficits in hippocampal-dependent memory tasks, which are reversible with insulin. Neurocognitive studies of patients with type 1 DM reveal lowered performance on ability to apply knowledge to solve problems in a new situation and acquired scholarly knowledge, psychomotor efficiency, cognitive flexibility, visual perception, speed of information-processing, and sustained attention. Other factors that might contribute to poor decision-making in patients with type 1 DM, include "hypoglycemia unawareness" and comorbid major depression (given its increased prevalence in type 1 DM). Future studies utilizing novel treatment strategies to help patients with type 1 DM make better decisions about their disease may improve their glycemic control and quality of life, while minimizing the impact of end-organ disease.

Factors influencing women's perceptions of shared decision making during labor and delivery: Results from a large-scale cohort study of first childbirth.

PubMed

Attanasio, Laura B; Kozhimannil, Katy B; Kjerulff, Kristen H

2018-06-01

To examine correlates of shared decision making during labor and delivery. Data were from a cohort of women who gave birth to their first baby in Pennsylvania, 2009-2011 (N = 3006). We used logistic regression models to examine the association between labor induction and mode of delivery in relation to women's perceptions of shared decision making, and to investigate race/ethnicity and SES as potential moderators. Women who were Black and who did not have a college degree or private insurance were less likely to report high shared decision making, as well as women who underwent labor induction, instrumental vaginal or cesarean delivery. Models with interaction terms showed that the reduction in odds of shared decision making associated with cesarean delivery was greater for Black women than for White women. Women in marginalized social groups were less likely to report shared decision making during birth and Black women who delivered by cesarean had particularly low odds of shared decision making. Strategies designed to improve the quality of patient-provider communication, information sharing, and shared decision making must be attentive to the needs of vulnerable groups to ensure that such interventions reduce rather than widen disparities. Copyright © 2018 Elsevier B.V. All rights reserved.

Cool Decision-Making in Adolescents with Behavior Disorder and/or Mild-to-Borderline Intellectual Disability.

PubMed

Bexkens, Anika; Jansen, Brenda R J; Van der Molen, Maurits W; Huizenga, Hilde M

2016-02-01

Adolescents with Behavior Disorders (BD), Mild-to-Borderline Intellectual Disability (MBID), and with both BD and MBID (BD + MBID) are known to take more risks than normal controls. To examine the processes underlying this increased risk-taking, the present study investigated cool decision-making strategies in 479 adolescents (12-18 years, 55.9 % male) from these four groups. Cool decision-making was assessed with the paper-and-pencil Gambling Machine Task. This task, in combination with advanced latent group analysis, allows for an assessment of decision strategies. Results indicated that adolescents with BD and controls were almost equivalent in their decision-making strategies, whereas adolescents with MBID and adolescents with BD + MBID were characterized by suboptimal decision-making strategies, with only minor differences between these two clinical groups. These findings may have important clinical implications, as they suggest that risk taking in adolescents with MBID and in adolescents with BD + MBID can be (partly) attributed to the strategies that these adolescents use to make their decisions. Interventions may therefore focus on an improvement of these strategies.

Patient Decision Aids Improve Decision Quality and Patient Experience and Reduce Surgical Rates in Routine Orthopaedic Care: A Prospective Cohort Study.

PubMed

Sepucha, Karen; Atlas, Steven J; Chang, Yuchiao; Dorrwachter, Janet; Freiberg, Andrew; Mangla, Mahima; Rubash, Harry E; Simmons, Leigh H; Cha, Thomas

2017-08-02

Patient decision aids are effective in randomized controlled trials, yet little is known about their impact in routine care. The purpose of this study was to examine whether decision aids increase shared decision-making when used in routine care. A prospective study was designed to evaluate the impact of a quality improvement project to increase the use of decision aids for patients with hip or knee osteoarthritis, lumbar disc herniation, or lumbar spinal stenosis. A usual care cohort was enrolled before the quality improvement project and an intervention cohort was enrolled after the project. Participants were surveyed 1 week after a specialist visit, and surgical status was collected at 6 months. Regression analyses adjusted for clustering of patients within clinicians and examined the impact on knowledge, patient reports of shared decision-making in the visit, and surgical rates. With 550 surveys, the study had 80% to 90% power to detect a difference in these key outcomes. The response rates to the 1-week survey were 70.6% (324 of 459) for the usual care cohort and 70.2% (328 of 467) for the intervention cohort. There was no significant difference (p > 0.05) in any patient characteristic between the 2 cohorts. More patients received decision aids in the intervention cohort at 63.6% compared with the usual care cohort at 27.3% (p = 0.007). Decision aid use was associated with higher knowledge scores, with a mean difference of 18.7 points (95% confidence interval [CI], 11.4 to 26.1 points; p < 0.001) for the usual care cohort and 15.3 points (95% CI, 7.5 to 23.0 points; p = 0.002) for the intervention cohort. Patients reported more shared decision-making (p = 0.009) in the visit with their surgeon in the intervention cohort, with a mean Shared Decision-Making Process score (and standard deviation) of 66.9 ± 27.5 points, compared with the usual care cohort at 62.5 ± 28.6 points. The majority of patients received their preferred treatment, and this did not differ by cohort or decision aid use. Surgical rates were lower in the intervention cohort for those who received the decision aids at 42.3% compared with 58.8% for those who did not receive decision aids (p = 0.023) and in the usual care cohort at 44.3% for those who received decision aids compared with 55.7% for those who did not receive them (p = 0.45). The quality improvement project successfully integrated patient decision aids into a busy orthopaedic clinic. When used in routine care, decision aids are associated with increased knowledge, more shared decision-making, and lower surgical rates. There is increasing pressure to design systems of care that inform and involve patients in decisions about elective surgery. In this study, the authors found that patient decision aids, when used as part of routine orthopaedic care, were associated with increased knowledge, more shared decision-making, higher patient experience ratings, and lower surgical rates.

Using real options analysis to support strategic management decisions

NASA Astrophysics Data System (ADS)

Kabaivanov, Stanimir; Markovska, Veneta; Milev, Mariyan

2013-12-01

Decision making is a complex process that requires taking into consideration multiple heterogeneous sources of uncertainty. Standard valuation and financial analysis techniques often fail to properly account for all these sources of risk as well as for all sources of additional flexibility. In this paper we explore applications of a modified binomial tree method for real options analysis (ROA) in an effort to improve decision making process. Usual cases of use of real options are analyzed with elaborate study on the applications and advantages that company management can derive from their application. A numeric results based on extending simple binomial tree approach for multiple sources of uncertainty are provided to demonstrate the improvement effects on management decisions.

Impact of a decision-support tool on decision making at the district level in Kenya

PubMed Central

2013-01-01

Background In many countries, the responsibility for planning and delivery of health services is devolved to the subnational level. Health programs, however, often fall short of efficient use of data to inform decisions. As a result, programs are not as effective as they can be at meeting the health needs of the populations they serve. In Kenya, a decision-support tool, the District Health Profile (DHP) tool was developed to integrate data from health programs, primarily HIV, at the district level and to enable district health management teams to review and monitor program progress for specific health issues to make informed service delivery decisions. Methods Thirteen in-depth interviews were conducted with ten tool users and three non-users in six districts to qualitatively assess the process of implementing the tool and its effect on data-informed decision making at the district level. The factors that affected use or non-use of the tool were also investigated. Respondents were selected via convenience sample from among those that had been trained to use the DHP tool except for one user who was self-taught to use the tool. Selection criteria also included respondents from urban districts with significant resources as well as respondents from more remote, under-resourced districts. Results Findings from the in-depth interviews suggest that among those who used it, the DHP tool had a positive effect on data analysis, review, interpretation, and sharing at the district level. The automated function of the tool allowed for faster data sharing and immediate observation of trends that facilitated data-informed decision making. All respondents stated that the DHP tool assisted them to better target existing services in need of improvement and to plan future services, thus positively influencing program improvement. Conclusions This paper stresses the central role that a targeted decision-support tool can play in making data aggregation, analysis, and presentation easier and faster. The visual synthesis of data facilitates the use of information in health decision making at the district level of a health system and promotes program improvement. The experience in Kenya can be applied to other countries that face challenges making district-level, data-informed decisions with data from fragmented information systems. PMID:24011028

Modelling emergency decisions: recognition-primed decision making. The literature in relation to an ophthalmic critical incident.

PubMed

Bond, Susan; Cooper, Simon

2006-08-01

To review and reflect on the literature on recognition-primed decision (RPD) making and influences on emergency decisions with particular reference to an ophthalmic critical incident involving the sub-arachnoid spread of local anaesthesia following the peribulbar injection. This paper critics the literature on recognition-primed decision making, with particular reference to emergency situations. It illustrates the findings by focussing on an ophthalmic critical incident. Systematic literature review with critical incident reflection. Medline, CINAHL and PsychINFO databases were searched for papers on recognition-primed decision making (1996-2004) followed by the 'snowball method'. Studies were selected in accordance with preset criteria. A total of 12 papers were included identifying the recognition-primed decision making as a good theoretical description of acute emergency decisions. In addition, cognitive resources, situational awareness, stress, team support and task complexity were identified as influences on the decision process. Recognition-primed decision-making theory describes the decision processes of experts in time-bound emergency situations and is the foundation for a model of emergency decision making (Fig. 2). Decision theory and models, in this case related to emergency situations, inform practice and enhance clinical effectiveness. The critical incident described highlights the need for nurses to have a comprehensive and in-depth understanding of anaesthetic techniques as well as an ability to manage and resuscitate patients autonomously. In addition, it illustrates how the critical incidents should influence the audit cycle with improvements in patient safety.

Decision-making about prenatal genetic testing among pregnant Korean-American women.

PubMed

Jun, Myunghee; Thongpriwan, Vipavee; Choi, Jeeyae; Sook Choi, Kyung; Anderson, Gwen

2018-01-01

to understand the prenatal genetic testing decision-making processes among pregnant Korean-American women. a qualitative, descriptive research design. referrals and snowball sampling techniques were used to recruit 10 Korean-American women who had been recommended for amniocentesis during pregnancy in the United States (U.S.). All participants were born in Korea and had immigrated to the U.S. The number of years living in the U.S. ranged from 4 to 11 (M=5.7). various regional areas of the U.S. the researchers conducted face-to-face or phone interviews using semi-structured interview guides. The interviews were conducted in the Korean language and lasted approximately 50-100minutes. The interview guides focused on the decision-making process and experiences with prenatal genetic testing, as well as reflections on the decisions. Four core themes emerged related to the participants' decision-making processes, according to their descriptions. These themes are (1) facing the challenges of decision-making, (2) seeking support, (3) determining one's preferred role in the decision-making process, and (4) feeling uncomfortable with the degree of patient autonomy in U.S. health care. researchers concluded that many distinctive factors influence the decision-making processes used by pregnant Korean-American women. The results have the potential to improve shared decision-making practices regarding prenatal genetic testing. clinicians need to understand the sociocultural underpinnings of pregnant Korean-American immigrants regarding prenatal genetic screening and testing as an initial step to engage these patients in shared decision-making. Published by Elsevier Ltd.

Low cognitive load and reduced arousal impede practice effects on executive functioning, metacognitive confidence and decision making.

PubMed

Jackson, Simon A; Kleitman, Sabina; Aidman, Eugene

2014-01-01

The present study investigated the effects of low cognitive workload and the absence of arousal induced via external physical stimulation (motion) on practice-related improvements in executive (inhibitory) control, short-term memory, metacognitive monitoring and decision making. A total of 70 office workers performed low and moderately engaging passenger tasks in two successive 20-minute simulated drives and repeated a battery of decision making and inhibitory control tests three times—before, between and after these drives. For half the participants, visual simulation was synchronised with (moderately arousing) motion generated through LAnd Motion Platform, with vibration levels corresponding to a well-maintained unsealed road. The other half performed the same simulated drive without motion. Participants' performance significantly improved over the three test blocks, which is indicative of typical practice effects. The magnitude of these improvements was the highest when both motion and moderate cognitive load were present. The same effects declined either in the absence of motion (low arousal) or following a low cognitive workload task, thus suggesting two distinct pathways through which practice-related improvements in cognitive performance may be hampered. Practice, however, degraded certain aspects of metacognitive performance, as participants became less likely to detect incorrect decisions in the decision-making test with each subsequent test block. Implications include consideration of low cognitive load and arousal as factors responsible for performance decline and targets for the development of interventions/strategies in low load/arousal conditions such as autonomous vehicle operations and highway driving.

Assisting informed decision making for labour analgesia: a randomised controlled trial of a decision aid for labour analgesia versus a pamphlet.

PubMed

Raynes-Greenow, Camille H; Nassar, Natasha; Torvaldsen, Siranda; Trevena, Lyndal; Roberts, Christine L

2010-04-08

Most women use some method of pain relief during labour. There is extensive research evidence available of pharmacological pain relief during labour; however this evidence is not readily available to pregnant women. Decision aids are tools that present evidence based information and allow preference elicitation. We developed a labour analgesia decision aid. Using a RCT design women either received a decision aid or a pamphlet. Eligible women were primiparous, > or = 37 weeks, planning a vaginal birth of a single infant and had sufficient English to complete the trial materials. We used a combination of affective (anxiety, satisfaction and participation in decision-making) and behavioural outcomes (intention and analgesia use) to assess the impact of the decision aid, which were assessed before labour. 596 women were randomised (395 decision aid group, 201 pamphlet group). There were significant differences in knowledge scores between the decision aid group and the pamphlet group (mean difference 8.6, 95% CI 3.70, 13.40). There were no differences between decisional conflict scores (mean difference -0.99 (95% CI -3.07, 1.07), or anxiety (mean difference 0.3, 95% CI -2.15, 1.50). The decision aid group were significantly more likely to consider their care providers opinion (RR 1.28 95%CI 0.64, 0.95). There were no differences in analgesia use and poor follow through between antenatal analgesia intentions and use. This decision aid improves women's labour analgesia knowledge without increasing anxiety. Significantly, the decision aid group were more informed of labour analgesia options, and considered the opinion of their care providers more often when making their analgesia decisions, thus improving informed decision making. Trial registration no: ISRCTN52287533.

Assessing potential future environmental legal events

DOE Office of Scientific and Technical Information (OSTI.GOV)

Tonn, B.; Petrich, C.

1997-10-28

This report addresses the topic of environmental citizenship in the United States. The term refers to responsibilities each of us have with respect to helping our communities and nation make sound environmental decisions. This research centers on the citizens and what we ought to be doing, as opposed to what the government ought to be doing for us, to improve environmental citizenship. This report examines four central questions: What are the requirements (i.e., responsibilities) of citizenship vis-a-vis environmental decision- making processes; what constraints limit people`s ability to meet these requirements; what does our form of governance do to help ormore » hinder in meeting these requirements; and what recommendations can be put forth to improve public participation in environmental decision making?« less

[The Role and Function of Informatics Nurses in Information Technology Decision-Making].

PubMed

Lee, Tso-Ying

2017-08-01

The medical environment has changed greatly with the coming of the information age, and, increasingly, the operating procedures for medical services have been altered in keeping with the trend toward mobile, paperless services. Informatization has the potential to improve the working efficiency of medical personnel, enhance patient care safety, and give medical organizations a positive image. Informatics nurses play an important role in the decision-making processes that accompany informatization. As one of the decision-making links in the information technology lifecycle, this role affects the success of the development and operation of information systems. The present paper examines the functions and professional knowledge that informatics nurses must possess during the technology lifecycle, the four stages of which include: planning, analysis, design/development/revision, and implementation/assessment/support/maintenance. The present paper further examines the decision-making shortcomings and errors that an informatics nurses may make during the decision-making process. We hope that this paper will serve as an effective and useful reference for informatics nurses during the informatization decision-making process.

Presenting practice financial information.

PubMed

Webster, Lee Ann H

2007-01-01

Medical practice leadership teams, often consisting primarily of physicians with limited financial backgrounds, must make important business decisions and continuously monitor practice operations. In order to competently perform this duty, they need financial reports that are relevant and easy to understand. This article explores financial reporting and decision-making in a physician practice. It discusses reports and tools, such as ratios, graphs, and comparisons, that practices typically include in their reports. Because profitability and cash flow are often the most important financial considerations for physician practices, reports should generally focus on the impact of various activities and potential decisions upon these concerns. This article also provides communication tips for both those presenting practice financial information and those making the decisions. By communicating effectively, these leaders can best use financial information to improve decision-making and maximize financial performance.

The development of an online decision aid to support persons having a genetic predisposition to cancer and their partners during reproductive decision-making: a usability and pilot study.

PubMed

Reumkens, Kelly; Tummers, Marly H E; Gietel-Habets, Joyce J G; van Kuijk, Sander M J; Aalfs, Cora M; van Asperen, Christi J; Ausems, Margreet G E M; Collée, Margriet; Dommering, Charlotte J; Kets, C Marleen; van der Kolk, Lizet E; Oosterwijk, Jan C; Tjan-Heijnen, Vivianne C G; van der Weijden, Trudy; de Die-Smulders, Christine E M; van Osch, Liesbeth A D M

2018-05-30

An online decision aid to support persons having a genetic predisposition to cancer and their partners during reproductive decision-making was developed. A two-phase usability test was conducted among 12 couples (N = 22; 2 persons participated without their partner) at risk for hereditary cancer and 15 health care providers. Couples and health care providers expressed similar suggestions for improvements, and evaluated the modified decision aid as acceptable, easy to use, and comprehensible. The final decision aid was pilot tested (N = 16) with paired sample t tests comparing main outcomes (decisional conflict, knowledge, realistic expectations regarding the reproductive options and decision self-efficacy) before (T0), immediately (T1) and 2 weeks after (T2) use of the decision aid. Pilot testing indicated decreased decisional conflict scores, increased knowledge, and improved realistic expectations regarding the reproductive options, at T1 and T2. No effect was found for couples' decision self-efficacy. The positive findings during usability testing were thus reflected in the pilot study. The decision aid will be further evaluated in a nationwide pretest-posttest study to facilitate implementation in the onco-genetic counselling setting. Ultimately, it is expected that the decision aid will enable end-users to make an informed decision.

Chemotherapy treatment decision-making experiences of older adults with cancer, their family members, oncologists and family physicians: a mixed methods study.

PubMed

Puts, Martine T E; Sattar, Schroder; McWatters, Kara; Lee, Katherine; Kulik, Michael; MacDonald, Mary-Ellen; Jang, Raymond; Amir, Eitan; Krzyzanowska, Monika K; Leighl, Natasha; Fitch, Margaret; Joshua, Anthony M; Warde, Padraig; Tourangeau, Ann E; Alibhai, Shabbir M H

2017-03-01

Although comorbidities, frailty, and functional impairment are common in older adults (OA) with cancer, little is known about how these factors are considered during the treatment decision-making process by OAs, their families, and health care providers. Our aim was to better understand the treatment decision process from all these perspectives. A mixed methods multi-perspective longitudinal study using semi-structured interviews and surveys with 29 OAs aged ≥70 years with advanced prostate, breast, colorectal, or lung cancer, 24 of their family members,13 oncologists, and 15 family physicians was conducted. The sample was stratified on age (70-79 and 80+). All interviews were analyzed using thematic analysis. There was no difference in the treatment decision-making experience based on age. Most OAs felt that they should have the final say in the treatment decision, but strongly valued their oncologists' opinion. "Trust in my oncologist" and "chemotherapy as the last resort to prolong life" were the most important reasons to accept treatment. Families indicated a need to improve communication between them, the patient and the specialist, particularly around goals of treatment. Comorbidity and potential side-effects did not play a major role in the treatment decision-making for patients, families, or oncologists. Family physicians reported no involvement in decisions but desired to be more involved. This first study using multiple perspectives showed neither frailty nor comorbidity played a role in the treatment decision-making process. Efforts to improve communication were identified as an opportunity that may enhance quality of care. In a mixed methods study multiple perspective study with older adults with cancer, their family members, their oncologist and their family physician we explored the treatment decision making process and found that most older adults were satisfied with their decision. Comorbidity, functional status and frailty did not impact the older adult's or their family members' decision.

Evidence-based coverage decisions? Primum non nocere.

PubMed

McElwee, Newell E; Ho, S Yin; McGuigan, Kimberly A; Horn, Mark L

2006-01-01

Drug class reviews are blunt tools for medical decision making. The practice of evidence-based medicine is far more than simply systematic reviews: The patient and doctor are integral. Here we highlight areas of evidence-based coverage decision making where greater balance and transparency could serve to improve the current process, and we recommend elements of a more positive approach that could optimize patient outcomes under resource constraints.

National Evidence on the Use of Shared Decision Making in Prostate-Specific Antigen Screening

PubMed Central

Han, Paul K. J.; Kobrin, Sarah; Breen, Nancy; Joseph, Djenaba A.; Li, Jun; Frosch, Dominick L.; Klabunde, Carrie N.

2013-01-01

PURPOSE Recent clinical practice guidelines on prostate cancer screening using the prostate-specific antigen (PSA) test (PSA screening) have recommended that clinicians practice shared decision making—a process involving clinician-patient discussion of the pros, cons, and uncertainties of screening. We undertook a study to determine the prevalence of shared decision making in both PSA screening and nonscreening, as well as patient characteristics associated with shared decision making. METHODS A nationally representative sample of 3,427 men aged 50 to 74 years participating in the 2010 National Health Interview Survey responded to questions on the extent of shared decision making (past physician-patient discussion of advantages, disadvantages, and scientific uncertainty associated with PSA screening), PSA screening intensity (tests in past 5 years), and sociodemographic and health-related characteristics. RESULTS Nearly two-thirds (64.3%) of men reported no past physician-patient discussion of advantages, disadvantages, or scientific uncertainty (no shared decision making); 27.8% reported discussion of 1 to 2 elements only (partial shared decision making); 8.0% reported discussion of all 3 elements (full shared decision making). Nearly one-half (44.2%) reported no PSA screening, 27.8% reported low-intensity (less-than-annual) screening, and 25.1% reported high-intensity (nearly annual) screening. Absence of shared decision making was more prevalent in men who were not screened; 88% (95% CI, 86.2%–90.1%) of nonscreened men reported no shared decision making compared with 39% (95% CI, 35.0%–43.3%) of men undergoing high-intensity screening. Extent of shared decision making was associated with black race, Hispanic ethnicity, higher education, health insurance, and physician recommendation. Screening intensity was associated with older age, higher education, usual source of medical care, and physician recommendation, as well as with partial vs no or full shared decision making. CONCLUSIONS Most US men report little shared decision making in PSA screening, and the lack of shared decision making is more prevalent in nonscreened than in screened men. Screening intensity is greatest with partial shared decision making, and different elements of shared decision making are associated with distinct patient characteristics. Shared decision making needs to be improved in decisions for and against PSA screening. PMID:23835816

Schools and Data: The Educator's Guide for Using Data to Improve Decision Making

ERIC Educational Resources Information Center

Creighton, Theodore B.

2006-01-01

Since the first edition of "Schools and Data", the No Child Left Behind Act has swept the country, and data-based decision making is no longer an option for educators. Today's educational climate makes it imperative for all schools to collect data and use statistical analysis to help create clear goals and recognize strategies for…

Exploring Investor Decisions in a Behavioral Finance Framework

ERIC Educational Resources Information Center

Hayes, Suzanne K.

2010-01-01

The first objective of this article is to increase awareness and understanding of individual decision-making biases. The second is to provide FCS professionals with strategies to improve consumer financial decisions. Individual decision biases are presented within the context of a seven-stage decision process. Proactive consumer educators using a…

Shared decision making: what do clinicians need to know and why should they bother?

PubMed

Hoffmann, Tammy C; Légaré, France; Simmons, Magenta B; McNamara, Kevin; McCaffery, Kirsten; Trevena, Lyndal J; Hudson, Ben; Glasziou, Paul P; Del Mar, Christopher B

2014-07-07

Shared decision making enables a clinician and patient to participate jointly in making a health decision, having discussed the options and their benefits and harms, and having considered the patient's values, preferences and circumstances. It is not a single step to be added into a consultation, but a process that can be used to guide decisions about screening, investigations and treatments. The benefits of shared decision making include enabling evidence and patients' preferences to be incorporated into a consultation; improving patient knowledge, risk perception accuracy and patient-clinician communication; and reducing decisional conflict, feeling uninformed and inappropriate use of tests and treatments. Various approaches can be used to guide clinicians through the process. We elaborate on five simple questions that can be used: What will happen if the patient waits and watches? What are the test or treatment options? What are the benefits and harms of each option? How do the benefits and harms weigh up for the patient? Does the patient have enough information to make a choice? Although shared decision making can occur without tools, various types of decision support tools now exist to facilitate it. Misconceptions about shared decision making are hampering its implementation. We address the barriers, as perceived by clinicians. Despite numerous international initiatives to advance shared decision making, very little has occurred in Australia. Consequently, we are lagging behind many other countries and should act urgently.

Eco-driving : strategic, tactical, and operational decisions of the driver that improve vehicle fuel economy.

DOT National Transportation Integrated Search

2011-08-01

"This report presents information about the effects of decisions that a driver can make to : influence on-road fuel economy of light-duty vehicles. These include strategic decisions : (vehicle selection and maintenance), tactical decisions (route sel...

Methods for Conducting Cognitive Task Analysis for a Decision Making Task.

DTIC Science & Technology

1996-01-01

Cognitive task analysis (CTA) improves traditional task analysis procedures by analyzing the thought processes of performers while they complete a...for using these methods to conduct a CTA for domains which involve critical decision making tasks in naturalistic settings. The cognitive task analysis methods

Checkerboard--A Way to Financial Awareness.

ERIC Educational Resources Information Center

Dawson, Rod

1986-01-01

Describes Checkerboard, a game-like exercise designed to teach financial awareness, control, and appraisal to managers and reinforce the principle that all people in managerial positions make decisions, all of which incur costs and generate benefits. Students are guided by discovery and discussion toward improved financial decision making. (MBR)

Environmental Public Health Indicators Impact Report: Data and methods that support environmental public health decision-making by communities

EPA Science Inventory

This report presents the results of twenty competitively funded Science-To-Achieve-Results (STAR) grants in EPA's Environmental Public Health Indicators (EPHI) research program. The grantsdirectly supported health interventions, informed policy and decision-making, and improved t...

Factors Influencing the Functioning of Data Teams

ERIC Educational Resources Information Center

Schildkamp, Kim; Poortman, Cindy

2015-01-01

Background: Data-based decision making can lead to increased student achievement; however, schools struggle with the implementation of data-based decision making. Professional development in the use of data is therefore urgently needed. However, professional development is often ineffective in terms of improving the knowledge, skills, and attitude…

Patients' decision making in total knee arthroplasty: a systematic review of qualitative research.

PubMed

Barlow, T; Griffin, D; Barlow, D; Realpe, A

2015-10-01

A patient-centred approach, usually achieved through shared decision making, has the potential to help improve decision making around knee arthroplasty surgery. However, such an approach requires an understanding of the factors involved in patient decision making. This review's objective is to systematically examine the qualitative literature surrounding patients' decision making in knee arthroplasty. A systematic literature review using Medline and Embase was conducted to identify qualitative studies that examined patients' decision making around knee arthroplasty. An aggregated account of what is known about patients' decision making in knee arthroplasties is provided. Seven studies with 234 participants in interviews or focus groups are included. Ten themes are replicated across studies, namely: expectations of surgery; coping mechanisms; relationship with clinician; fear; pain; function; psychological implications; social network; previous experience of surgery; and conflict in opinions. This review is helpful in not only directing future research to areas that are not understood, or require confirmation, but also in highlighting areas that future interventions could address. These include those aimed at delivering information, which are likely to affect the satisfaction rate, demand, and use of knee arthroplasties. Cite this article: Bone Joint Res 2015;4;163-169. ©2015 Griffin.

Association between Self-Reported Participation in Decision Making and Inpatient Rehabilitation Outcomes.

PubMed

Wylegala, Juli A; Graham, James E; Karmarkar, Amol M; Illig, Caitlin; Illig, Sandra Bennett; Ottenbacher, Kenneth J

2015-09-01

Retrospective cross sectional. The purpose of this study was to assess the independent associations between perceived participation in clinical decision making on rehabilitation length of stay, discharge functional status, and discharge setting following inpatient rehabilitation. Active participation in the inpatient rehabilitation process, which is the most intense post-acute rehabilitation service, should lead to better patient experiences and outcomes. Self-reported information from participant interviews was linked with data in administrative medical records for Medicare beneficiaries discharged from inpatient rehabilitation facilities in 2007-2009. The decision making variable assessed participants' perceived participation in decision making during their inpatient rehabilitation stays. The three outcome variables were inpatient rehabilitation length of stay, discharge functional status, and discharge setting. Among the 41,110 participants interviewed, approximately 89% strongly agreed or agreed , and 12% disagreed that they participated in decision making during their rehabilitation stays. The multivariable regression models showed that greater participation in decision making was associated (p < .05) with slightly longer lengths of stay, higher discharge functional status, and increased likelihood of community discharge. Nearly nine in 10 Medicare beneficiaries report participating in decision making when receiving inpatient rehabilitation services. Increasing participation may lead to improvements in fundamental rehabilitation outcomes.

Attentional Filter Training but Not Memory Training Improves Decision-Making.

PubMed

Schmicker, Marlen; Müller, Patrick; Schwefel, Melanie; Müller, Notger G

2017-01-01

Decision-making has a high practical relevance for daily performance. Its relation to other cognitive abilities such as executive control and memory is not fully understood. Here we asked whether training of either attentional filtering or memory storage would influence decision-making as indexed by repetitive assessments of the Iowa Gambling Task (IGT). The IGT was developed to assess and simulate real-life decision-making (Bechara et al., 2005). In this task, participants gain or lose money by developing advantageous or disadvantageous decision strategies. On five consecutive days we trained 29 healthy young adults (20-30 years) either in working memory (WM) storage or attentional filtering and measured their IGT scores after each training session. During memory training (MT) subjects performed a computerized delayed match-to-sample task where two displays of bars were presented in succession. During filter training (FT) participants had to indicate whether two simultaneously presented displays of bars matched or not. Whereas in MT the relevant target stimuli stood alone, in FT the targets were embedded within irrelevant distractors (bars in a different color). All subjects within each group improved their performance in the trained cognitive task. For the IGT, we observed an increase over time in the amount of money gained in the FT group only. Decision-making seems to be influenced more by training to filter out irrelevant distractors than by training to store items in WM. Selective attention could be responsible for the previously noted relationship between IGT performance and WM and is therefore more important for enhancing efficiency in decision-making.

Ensemble modelling and structured decision-making to support Emergency Disease Management.

PubMed

Webb, Colleen T; Ferrari, Matthew; Lindström, Tom; Carpenter, Tim; Dürr, Salome; Garner, Graeme; Jewell, Chris; Stevenson, Mark; Ward, Michael P; Werkman, Marleen; Backer, Jantien; Tildesley, Michael

2017-03-01

Epidemiological models in animal health are commonly used as decision-support tools to understand the impact of various control actions on infection spread in susceptible populations. Different models contain different assumptions and parameterizations, and policy decisions might be improved by considering outputs from multiple models. However, a transparent decision-support framework to integrate outputs from multiple models is nascent in epidemiology. Ensemble modelling and structured decision-making integrate the outputs of multiple models, compare policy actions and support policy decision-making. We briefly review the epidemiological application of ensemble modelling and structured decision-making and illustrate the potential of these methods using foot and mouth disease (FMD) models. In case study one, we apply structured decision-making to compare five possible control actions across three FMD models and show which control actions and outbreak costs are robustly supported and which are impacted by model uncertainty. In case study two, we develop a methodology for weighting the outputs of different models and show how different weighting schemes may impact the choice of control action. Using these case studies, we broadly illustrate the potential of ensemble modelling and structured decision-making in epidemiology to provide better information for decision-making and outline necessary development of these methods for their further application. Crown Copyright © 2017. Published by Elsevier B.V. All rights reserved.

Discrete event simulation for healthcare organizations: a tool for decision making.

PubMed

Hamrock, Eric; Paige, Kerrie; Parks, Jennifer; Scheulen, James; Levin, Scott

2013-01-01

Healthcare organizations face challenges in efficiently accommodating increased patient demand with limited resources and capacity. The modern reimbursement environment prioritizes the maximization of operational efficiency and the reduction of unnecessary costs (i.e., waste) while maintaining or improving quality. As healthcare organizations adapt, significant pressures are placed on leaders to make difficult operational and budgetary decisions. In lieu of hard data, decision makers often base these decisions on subjective information. Discrete event simulation (DES), a computerized method of imitating the operation of a real-world system (e.g., healthcare delivery facility) over time, can provide decision makers with an evidence-based tool to develop and objectively vet operational solutions prior to implementation. DES in healthcare commonly focuses on (1) improving patient flow, (2) managing bed capacity, (3) scheduling staff, (4) managing patient admission and scheduling procedures, and (5) using ancillary resources (e.g., labs, pharmacies). This article describes applicable scenarios, outlines DES concepts, and describes the steps required for development. An original DES model developed to examine crowding and patient flow for staffing decision making at an urban academic emergency department serves as a practical example.

[Decision-making process and health management councils: theoretical approaches].

PubMed

Wendhausen, Agueda; Cardoso, Sandra de Mello

2007-01-01

With the institutionalization of participation in health, through conferences and management councils at national, state, municipal and local levels, a process of democratization is initiated in the health area. However, in relation to the health councils in particular, there is still much to be done, including improving the quality of the decision-making process. This work aims to place the decision-making process in its theoretical context in terms of participatory democracy, elements which make up, factors which influence its development, and finally, to explore some possibilities of this theoretical basis to analyze the practices of the health councils in the area of health. It is hoped that it will make a theoretical contribution to the analyses carried out in this area, in order to provide a decision-making process that is more inclusive in terms of participation.

Digital technology and clinical decision making in depression treatment: Current findings and future opportunities.

PubMed

Hallgren, Kevin A; Bauer, Amy M; Atkins, David C

2017-06-01

Clinical decision making encompasses a broad set of processes that contribute to the effectiveness of depression treatments. There is emerging interest in using digital technologies to support effective and efficient clinical decision making. In this paper, we provide "snapshots" of research and current directions on ways that digital technologies can support clinical decision making in depression treatment. Practical facets of clinical decision making are reviewed, then research, design, and implementation opportunities where technology can potentially enhance clinical decision making are outlined. Discussions of these opportunities are organized around three established movements designed to enhance clinical decision making for depression treatment, including measurement-based care, integrated care, and personalized medicine. Research, design, and implementation efforts may support clinical decision making for depression by (1) improving tools to incorporate depression symptom data into existing electronic health record systems, (2) enhancing measurement of treatment fidelity and treatment processes, (3) harnessing smartphone and biosensor data to inform clinical decision making, (4) enhancing tools that support communication and care coordination between patients and providers and within provider teams, and (5) leveraging treatment and outcome data from electronic health record systems to support personalized depression treatment. The current climate of rapid changes in both healthcare and digital technologies facilitates an urgent need for research, design, and implementation of digital technologies that explicitly support clinical decision making. Ensuring that such tools are efficient, effective, and usable in frontline treatment settings will be essential for their success and will require engagement of stakeholders from multiple domains. © 2017 Wiley Periodicals, Inc.

Fostering Informed Decisions: Impact of a Decision Aid Among Men Registered to Undergo Mass Screening for Prostate Cancer in a Randomized Controlled Trial

PubMed Central

Williams, Randi M.; Davis, Kimberly M.; Luta, George; Edmond, Sara N.; Dorfman, Caroline S.; Schwartz, Marc D.; Lynch, John; Ahaghotu, Chiledum; Taylor, Kathryn L.

2013-01-01

Objective Screening asymptomatic men for prostate cancer is controversial and informed decision making is recommended. Within two prostate cancer screening programs, we evaluated the impact of a print-based decision aid (DA) on decision-making outcomes. Methods Men (N=543) were 54.9 (SD=8.1) years old and 61% were African-American. The 2 (booklet type: DA vs. usual care (UC)) × 2 (delivery mode: Home vs. Clinic) randomized controlled trial assessed decisional and screening outcomes at baseline, two-months, and 13-months. Results Intention-to-treat linear regression analyses using generalized estimating equations revealed that DA participants reported improved knowledge relative to UC (B=.41, p<.05). For decisional conflict, per-protocol analyses revealed a group by time interaction (B = −.69, p<.05), indicating that DA participants were less likely to report decisional conflict at two-months compared to UC participants (OR=.49, 95% CI: .26–.91, p<.05). Conclusion This is the first randomized trial to evaluate a DA in the context of free mass screening, a challenging setting in which to make an informed decision. The DA was highly utilized by participants, improved knowledge and reduced decisional conflict. Practice implications These results are valuable in understanding ways to improve the decisions of men who seek screening and can be easily implemented within many settings. PMID:23357414

The effect of high-fidelity patient simulation on the critical thinking and clinical decision-making skills of new graduate nurses.

PubMed

Maneval, Rhonda; Fowler, Kimberly A; Kays, John A; Boyd, Tiffany M; Shuey, Jennifer; Harne-Britner, Sarah; Mastrine, Cynthia

2012-03-01

This study was conducted to determine whether the addition of high-fidelity patient simulation to new nurse orientation enhanced critical thinking and clinical decision-making skills. A pretest-posttest design was used to assess critical thinking and clinical decision-making skills in two groups of graduate nurses. Compared with the control group, the high-fidelity patient simulation group did not show significant improvement in mean critical thinking or clinical decision-making scores. When mean scores were analyzed, both groups showed an increase in critical thinking scores from pretest to posttest, with the high-fidelity patient simulation group showing greater gains in overall scores. However, neither group showed a statistically significant increase in mean test scores. The effect of high-fidelity patient simulation on critical thinking and clinical decision-making skills remains unclear. Copyright 2012, SLACK Incorporated.

ENABLING SMART MANUFACTURING TECHNOLOGIES FOR DECISION-MAKING SUPPORT

PubMed Central

Helu, Moneer; Libes, Don; Lubell, Joshua; Lyons, Kevin; Morris, KC

2017-01-01

Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and simulation that generate more and better intelligence about manufacturing systems. However, challenges and barriers have impeded the adoption of smart manufacturing technologies. To begin to address this need, this paper defines requirements for data-driven decision making in manufacturing based on a generalized description of decision making. Using these requirements, we then focus on identifying key barriers that prevent the development and use of data-driven decision making in industry as well as examples of technologies and standards that have the potential to overcome these barriers. The goal of this research is to promote a common understanding among the manufacturing community that can enable standardization efforts and innovation needed to continue adoption and use of smart manufacturing technologies. PMID:28649678

Emergency medical service provider decision-making in out of hospital cardiac arrest: an exploratory study.

PubMed

Brandling, J; Kirby, K; Black, S; Voss, S; Benger, J

2017-07-25

There are approximately 60,000 out-of-hospital cardiac arrests (OHCA) in the United Kingdom (UK) each year. Within the UK there are well-established clinical practice guidelines that define when resuscitation should be commenced in OHCA, and when resuscitation should cease. Background literature indicates that decision-making in the commencement and cessation of resuscitation efforts in OHCA is complex, and not comprehensively understood. No relevant research from the UK has been published to date and this research study seeks to explore the influences on UK Emergency Medical Service (EMS) provider decision-making when commencing and ceasing resuscitation attempts in OHCA. The aim of this research to explore the influences on UK Emergency Medical Services provider decision-making when commencing and ceasing resuscitation attempts in OHCA. Four focus groups were convened with 16 clinically active EMS providers. Four case vignettes were discussed to explore decision-making within the focus groups. Thematic analysis was used to analyse transcripts. This research found that there are three stages in the decision-making process when EMS providers consider whether to commence or cease resuscitation attempts in OHCA. These stages are: the call; arrival on scene; the protocol. Influential factors present at each of the three stages can lead to different decisions and variability in practice. These influences are: factual information available to the EMS provider; structural factors such as protocol, guidance and research; cultural beliefs and values; interpersonal factors; risk factors; personal values and beliefs. An improved understanding of the circumstantial, individual and interpersonal factors that mediate the decision-making process in clinical practice could inform the development of more effective clinical guidelines, education and clinical decision support in OHCA. These changes have the potential to lead to greater consistency. and EMS provider confidence, with the potential for improved patient outcome from OHCA.

Misreporting signs of child abuse: the role of decision-making and outcome information.

PubMed

Lindholm, Torun; Sjöberg, Rickard L; Memon, Amina

2014-02-01

Two studies provided evidence that a decision to report an ambiguous case of child abuse affected subsequent memory of the case information, such that participants falsely recognized details that were not presented in the original information, but that are schematically associated with child abuse. Moreover, post-decision information that the child had later died from abuse influenced the memory reports of participants who had chosen not to report the case, increasing their reports of false schema-consistent details. This suggests that false decision-consistent memories are primarily due to sense-making, schematic processing rather than the motivation to justify the decision. The present findings points to an important mechanism by which decision information can become distorted in retrospect, and emphasize the difficulties of improving future decision-making by contemplating past decisions. The results also indicate that decisions may generate false memories in the apparent absence of external suggestion or misleading information. Implications for decision-making theory, and applied practices are discussed. © 2013 Scandinavian Psychological Associations and John Wiley & Sons Ltd.

Decision aids to increase living donor kidney transplantation

PubMed Central

Gander, Jennifer C.; Gordon, Elisa J.; Patzer, Rachel E.

2017-01-01

Purpose of review For the more than 636,000 adults with end-stage renal disease (ESRD) in the U.S., kidney transplantation is the preferred treatment compared to dialysis. Living donor kidney transplantation (LDKT) comprised 31% of kidney transplantations in 2015, an 8% decrease since 2004. We aimed to summarize the current literature on decision aids that could be used to improve LDKT rates. Recent findings Decision aids are evidence-based tools designed to help patients and their families make difficult treatment decisions. LDKT decision aids can help ESRD patients, patients’ family and friends, and healthcare providers engage in treatment decisions and thereby overcome multifactorial LDKT barriers. Summary We identified 12 LDKT decision aids designed to provide information about LDKT, and/or to help ESRD patients identify potential living donors, and/or to help healthcare providers make decisions about treatment for ESRD or living donation. Of these, 4 were shown to be effective in increasing LDKT, donor inquiries, LDKT knowledge, and willingness to discuss LDKT. Although each LDKT decision aid has limitations, adherence to decision aid development guidelines may improve decision aid utilization and access to LDKT. PMID:29034143

Primary care professional's perspectives on treatment decision making for depression with African Americans and Latinos in primary care practice.

PubMed

Patel, Sapana R; Schnall, Rebecca; Little, Virna; Lewis-Fernández, Roberto; Pincus, Harold Alan

2014-12-01

Increasing interest has been shown in shared decision making (SDM) to improve mental health care communication between underserved immigrant minorities and their providers. Nonetheless, very little is known about this process. The following is a qualitative study of fifteen primary care providers at two Federally Qualified Health Centers in New York and their experience during depression treatment decision making. Respondents described a process characterized in between shared and paternalistic models of treatment decision making. Barriers to SDM included discordant models of illness, stigma, varying role expectations and decision readiness. Respondents reported strategies used to overcome barriers including understanding illness perceptions and the role of the community in the treatment process, dispelling stigma using cultural terms, orienting patients to treatment and remaining available regarding the treatment decision. Findings from this study have implications for planning SDM interventions to guide primary care providers through treatment engagement for depression.

Dynamic afferent synapses to decision-making networks improve performance in tasks requiring stimulus associations and discriminations

PubMed Central

Bourjaily, Mark A.

2012-01-01

Animals must often make opposing responses to similar complex stimuli. Multiple sensory inputs from such stimuli combine to produce stimulus-specific patterns of neural activity. It is the differences between these activity patterns, even when small, that provide the basis for any differences in behavioral response. In the present study, we investigate three tasks with differing degrees of overlap in the inputs, each with just two response possibilities. We simulate behavioral output via winner-takes-all activity in one of two pools of neurons forming a biologically based decision-making layer. The decision-making layer receives inputs either in a direct stimulus-dependent manner or via an intervening recurrent network of neurons that form the associative layer, whose activity helps distinguish the stimuli of each task. We show that synaptic facilitation of synapses to the decision-making layer improves performance in these tasks, robustly increasing accuracy and speed of responses across multiple configurations of network inputs. Conversely, we find that synaptic depression worsens performance. In a linearly nonseparable task with exclusive-or logic, the benefit of synaptic facilitation lies in its superlinear transmission: effective synaptic strength increases with presynaptic firing rate, which enhances the already present superlinearity of presynaptic firing rate as a function of stimulus-dependent input. In linearly separable single-stimulus discrimination tasks, we find that facilitating synapses are always beneficial because synaptic facilitation always enhances any differences between inputs. Thus we predict that for optimal decision-making accuracy and speed, synapses from sensory or associative areas to decision-making or premotor areas should be facilitating. PMID:22457467

Making reasonable decisions: a qualitative study of medical decision making in the care of patients with a clinically significant haemoglobin disorder.

PubMed

Crowther, Helen J; Kerridge, Ian

2015-10-01

Therapies utilized in patients with clinically significant haemoglobin disorders appear to vary between clinicians and units. This study aimed to investigate the processes of evidence implementation and medical decision making in the care of such patients in NSW, Australia. Using semi-structured interviews, 11 haematologists discussed their medical decision-making processes with particular attention paid to the use of published evidence. Transcripts were thematically analysed by a single investigator on a line-by-line basis. Decision making surrounding the care of patients with significant haemoglobin disorders varied and was deeply contextual. Three main determinants of clinical decision making were identified - factors relating to the patient and to their illness, factors specific to the clinician and the institution in which they were practising and factors related to the notion of evidence and to utility and role of evidence-based medicine in clinical practice. Clinicians pay considerable attention to medical decision making and evidence incorporation and attempt to tailor these to particular patient contexts. However, the patient context is often inferred and when discordant with the clinician's own contexture can lead to discomfort with decision recommendations. Clinicians strive to improve comfort through the use of experience and trustworthy evidence. © 2015 John Wiley & Sons, Ltd.

A Descriptive Study of Decision-Making Conversations during Pediatric Intensive Care Unit Family Conferences.

PubMed

Smith, Michael A; Clayman, Marla L; Frader, Joel; Arenson, Melanie; Haber-Barker, Natalie; Ryan, Claire; Emanuel, Linda; Michelson, Kelly

2018-06-19

Little is known about how decision-making conversations occur during pediatric intensive care unit (PICU) family conferences (FCs). Describe the decision-making process and implementation of shared decision making (SDM) during PICU FCs. Observational study. University-based tertiary care PICU, including 31 parents and 94 PICU healthcare professionals involved in FCs. We recorded, transcribed, and analyzed 14 PICU FCs involving decision-making discussions. We used a modified grounded theory and content analysis approach to explore the use of traditionally described stages of decision making (DM) (information exchange, deliberation, and determining a plan). We also identified the presence or absence of predefined SDM elements. DM involved the following modified stages: information exchange; information-oriented deliberation; plan-oriented deliberation; and determining a plan. Conversations progressed through stages in a nonlinear manner. For the main decision discussed, all conferences included a presentation of the clinical issues, treatment alternatives, and uncertainty. A minority of FCs included assessing the family's understanding (21%), assessing the family's need for input from others (28%), exploring the family's desired decision-making role (35%), and eliciting the family's opinion (42%). In the FCs studied, we found that DM is a nonlinear process. We also found that several SDM elements that could provide information about parents' perspectives and needs did not always occur, identifying areas for process improvement.

A Conceptual Model of the Role of Communication in Surrogate Decision Making for Hospitalized Adults

PubMed Central

Torke, Alexia M.; Petronio, Sandra; Sachs, Greg A.; Helft, Paul R.; Purnell, Christianna

2011-01-01

Objective To build a conceptual model of the role of communication in decision making, based on literature from medicine, communication studies and medical ethics. Methods We propose a model and describe each construct in detail. We review what is known about interpersonal and patient-physician communication, describe literature about surrogate-clinician communication, and discuss implications for our developing model. Results The communication literature proposes two major elements of interpersonal communication: information processing and relationship building. These elements are composed of constructs such as information disclosure and emotional support that are likely to be relevant to decision making. We propose these elements of communication impact decision making, which in turn affects outcomes for both patients and surrogates. Decision making quality may also mediate the relationship between communication and outcomes. Conclusion Although many elements of the model have been studied in relation to patient-clinician communication, there is limited data about surrogate decision making. There is evidence of high surrogate distress associated with decision making that may be alleviated by communication–focused interventions. More research is needed to test the relationships proposed in the model. Practice Implications Good communication with surrogates may improve both the quality of medical decisions and outcomes for the patient and surrogate. PMID:21889865

A conceptual model of the role of communication in surrogate decision making for hospitalized adults.

PubMed

Torke, Alexia M; Petronio, Sandra; Sachs, Greg A; Helft, Paul R; Purnell, Christianna

2012-04-01

To build a conceptual model of the role of communication in decision making, based on literature from medicine, communication studies and medical ethics. We proposed a model and described each construct in detail. We review what is known about interpersonal and patient-physician communication, described literature about surrogate-clinician communication, and discussed implications for our developing model. The communication literature proposes two major elements of interpersonal communication: information processing and relationship building. These elements are composed of constructs such as information disclosure and emotional support that are likely to be relevant to decision making. We propose these elements of communication impact decision making, which in turn affects outcomes for both patients and surrogates. Decision making quality may also mediate the relationship between communication and outcomes. Although many elements of the model have been studied in relation to patient-clinician communication, there is limited data about surrogate decision making. There is evidence of high surrogate distress associated with decision making that may be alleviated by communication-focused interventions. More research is needed to test the relationships proposed in the model. Good communication with surrogates may improve both the quality of medical decisions and outcomes for the patient and surrogate. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

End-of-life decisions for people with intellectual disabilities, an interview study with patient representatives.

PubMed

Wagemans, Annemieke M A; Van Schrojenstein Lantman-de Valk, Henny M J; Proot, Ireen M; Metsemakers, Job; Tuffrey-Wijne, Irene; Curfs, Leopold M G

2013-09-01

Not much is known about the process of end-of-life decision-making for people with intellectual disabilities. To clarify the process of end-of-life decision-making for people with intellectual disabilities from the perspective of patient representatives. A qualitative study based on semi-structured interviews, recorded digitally and transcribed verbatim. Data were analysed using Grounded Theory procedures. We interviewed 16 patient representatives after the deaths of 10 people with intellectual disabilities in the Netherlands. The core category 'Deciding for someone else' describes the context in which patient representatives took end-of-life decisions. The patient representatives felt highly responsible for the outcomes. They had not involved the patients in the end-of-life decision-making process, nor any professionals other than the doctor. The categories of 'Motives' and 'Support' were connected to the core category of 'Deciding for someone else'. 'Motives' refers to the patient representatives' ideas about quality of life, prevention from suffering, patients who cannot understand the burden of interventions and emotional reasons reported by patient representatives. 'Support' refers to the support that patient representatives wanted the doctors to give to them in the decision-making process. From the perspective of the patient representatives, the process of end-of-life decision-making can be improved by ensuring clear roles and an explicit description of the tasks and responsibilities of all participants. Regular discussion between everyone involved including people with intellectual disabilities themselves can improve knowledge about each other's motives for end-of-decisions and can clarify expectations towards each other.

Group Health's participation in a shared decision-making demonstration yielded lessons, such as role of culture change.

PubMed

King, Jaime; Moulton, Benjamin

2013-02-01

In 2007 Washington State became the first state to enact legislation encouraging the use of shared decision making and decision aids to address deficiencies in the informed-consent process. Group Health volunteered to fulfill a legislated mandate to study the costs and benefits of integrating these shared decision-making processes into clinical practice across a range of conditions for which multiple treatment options are available. The Group Health Demonstration Project, conducted during 2009-11, yielded five key lessons for successful implementation, including the synergy between efforts to reduce practice variation and increase shared decision making; the need to support modifications in practice with changes in physician training and culture; and the value of identifying best implementation methods through constant evaluation and iterative improvement. These lessons, and the legislated provisions that supported successful implementation, can guide other states and health care institutions moving toward informed patient choice as the standard of care for medical decision making.

"Making Do" Decisions: How Home Healthcare Personnel Manage Their Exposure to Home Hazards.

PubMed

Wills, Celia E; Polivka, Barbara J; Darragh, Amy; Lavender, Steven; Sommerich, Carolyn; Stredney, Donald

2016-04-01

This study describes the decision-making processes home healthcare personnel (HHP) use to manage their personal health and safety when managing hazards in client homes. A professionally diverse national sample of 68 HHP participated in individual semi-structured interviews and focus group discussions, and described their decision making and strategies for hazard management in their work environments. HHP described 353 hazard management dilemmas within 394 specifically identified hazards, which were clustered within three broader categories: electrical/fire, slip/trip/lift, and environmental exposures. HHP described multiple types of "making do" decisions for hazard management solutions in which perceived and actual resource limitations constrained response options. A majority of hazard management decisions in the broader hazards categories (72.5%, 68.5%, and 63.5%, respectively) were classifiable as less than optimal. These findings stress the need for more support of HHPs, including comprehensive training, to improve HHP decision making and hazard management strategies, especially in context of resource constraints. © The Author(s) 2015.

Emotion expression, decision-making and well-being.

PubMed

Xiao, Erte

2008-01-01

This chapter discusses the role of emotion expression in decision-making. To understand connections between emotion and decision it is helpful first to differentiate between emotion experience and emotion expression. Understanding how emotion expression influences decision-making is important as a practical matter. However, in contrast to emotion experience, economic research has paid little attention to the significance of emotion expression in decision-making. I review recent studies on emotion expression, paying specific attention to possible connections between emotion expression, punishment, fair economic exchange, and well-being. In contrast to emotions, which are typically difficult to control, I suggest that opportunities for emotion expression can feasibly be manipulated through appropriately designed policies. I further suggest that this approach may have the ability to positively affect well-being and economic outcomes. VALUE OF THE CHAPTER: The chapter provides new perspectives on how policy-makers can benefit by understanding the effect of emotion expression in decision-making. The chapter also suggests future research to improve our understanding of emotion expression.

The Role of Intuition in Risk/Benefit Decision-Making in Human Subjects Research

PubMed Central

Resnik, David B.

2016-01-01

One of the key principles of ethical research involving human subjects is that the risks of research to should be acceptable in relation to expected benefits. Institutional review board (IRB) members often rely on intuition to make risk/benefit decisions concerning proposed human studies. Some have objected to using intuition to make these decisions because intuition is unreliable and biased and lacks transparency. In this paper, I examine the role of intuition in IRB risk/benefit decision-making and argue that there are practical and philosophical limits to our ability to reduce our reliance on intuition in this process. The fact that IRB risk/benefit decision-making involves intuition need not imply that it is hopelessly subjective or biased, however, since there are strategies that IRBs can employ to improve their decisions, such as using empirical data to estimate the probability of potential harms and benefits, developing classification systems to guide the evaluation of harms and benefits, and engaging in moral reasoning concerning the acceptability of risks. PMID:27294429

“Making Do” Decisions: How Home Healthcare Personnel Manage Their Exposure to Home Hazards

PubMed Central

Wills, Celia E.; Polivka, Barbara J.; Darragh, Amy; Lavender, Steven; Sommerich, Carolyn; Stredney, Donald

2016-01-01

This study describes the decision-making processes home healthcare personnel (HHP) use to manage their personal health and safety when managing hazards in client homes. A professionally diverse national sample of 68 HHP participated in individual semi-structured interviews and focus group discussions, and described their decision making and strategies for hazard management in their work environments. HHP described 353 hazard management dilemmas within 394 specifically identified hazards, which were clustered within three broader categories: electrical/fire, slip/trip/lift, and environmental exposures. HHP described multiple types of “making do” decisions for hazard management solutions in which perceived and actual resource limitations constrained response options. A majority of hazard management decisions in the broader hazards categories (72.5%, 68.5%, and 63.5%, respectively) were classifiable as less than optimal. These findings stress the need for more support of HHPs, including comprehensive training, to improve HHP decision making and hazard management strategies, especially in context of resource constraints. PMID:26669605

The Role of Intuition in Risk/Benefit Decision-Making in Human Subjects Research.

PubMed

Resnik, David B

2017-01-01

One of the key principles of ethical research involving human subjects is that the risks of research to should be acceptable in relation to expected benefits. Institutional review board (IRB) members often rely on intuition to make risk/benefit decisions concerning proposed human studies. Some have objected to using intuition to make these decisions because intuition is unreliable and biased and lacks transparency. In this article, I examine the role of intuition in IRB risk/benefit decision-making and argue that there are practical and philosophical limits to our ability to reduce our reliance on intuition in this process. The fact that IRB risk/benefit decision-making involves intuition need not imply that it is hopelessly subjective or biased, however, since there are strategies that IRBs can employ to improve their decisions, such as using empirical data to estimate the probability of potential harms and benefits, developing classification systems to guide the evaluation of harms and benefits, and engaging in moral reasoning concerning the acceptability of risks.

Robustness Regions for Dichotomous Decisions.

ERIC Educational Resources Information Center

Vijn, Pieter; Molenaar, Ivo W.

1981-01-01

In the case of dichotomous decisions, the total set of all assumptions/specifications for which the decision would have been the same is the robustness region. Inspection of this (data-dependent) region is a form of sensitivity analysis which may lead to improved decision making. (Author/BW)

Decision Theory and the Governance of Technology.

ERIC Educational Resources Information Center

Woodhouse, Edward J.

1987-01-01

Provides an overview of the decision making process for science and technology. Finds that government agencies and officials are not the major decision makers. Examines obstacles to achieving intelligent decisions when policy makers are scientists, business executives, and consumers. Concludes with five strategies for improving technological…

Decision-Making of Patients With Implantable Cardioverter-Defibrillators at End of Life: Family Members' Experiences.

PubMed

Lee, Mei Ching; Sulmasy, Daniel P; Gallo, Joseph; Kub, Joan; Hughes, Mark T; Russell, Stuart; Kellogg, Anela; Owens, Sharon G; Terry, Peter; Nolan, Marie T

2017-07-01

Many patients with advanced heart failure (HF) experience the life-extending benefits of implantable cardioverter-defibrillators (ICD), but at the end stage of HF, patients may experience shocks with increasing frequency and change the plan for end-of-life (EOL) care including the deactivation of the ICD. This report describes family members' experiences of patients with ICD making decisions at EOL. Understanding the decision-making of patients with ICD at EOL can promote informed decision-making and improve the quality of EOL care. This pilot study used a mixed methods approach to test the effects of a nurse-guided discussion in decision-making about ICD deactivation (turning off the defibrillation function) at the EOL. Interviews were conducted, audiotaped, and transcribed in 2012 to 2013 with 6 family members of patients with advanced HF and ICDs. Three researchers coded the data and identified themes in 2014. Three main themes described family members' experiences related to patients having HF with ICDs making health-care decision at EOL: decision-making preferences, patients' perception on ICD deactivation, and communication methods. Health-care providers need to have knowledge of patients' decision-making preferences. Preferences for decision-making include the allowing of appropriate people to involve and encourages direct conversation with family members even when advance directives is completed. Information of ICD function and the option of deactivation need to be clearly delivered to patients and family members. Education and guidelines will facilitate the communication of the preferences of EOL care.

Shared Decision Making.

ERIC Educational Resources Information Center

Lashway, Larry

1997-01-01

In shared decision making (SDM), principals collaborate with teachers and sometimes parents to take actions aimed at improving instruction and school climate. While research on SDM outcomes is still inconclusive, the literature shows that SDM brings both benefits and problems, and that the principal is a key figure. This brief offers a sampling of…

Expanding the Union Contract: One Teacher's Perspective.

ERIC Educational Resources Information Center

Tuthill, Doug

1990-01-01

The National Education Association's approach to improving public education is founded on John Dewey's vision of democratic schooling and rational decision making, as the experience of Pinellas County, Florida, shows. This article describes the district's efforts to implement the Mastery in Learning project, a shared decision-making model.…

Models of Shared Leadership: Evolving Structures and Relationships.

ERIC Educational Resources Information Center

Hallinger, Philip; Richardson, Don

Current reform efforts, focusing on teacher empowerment, are based on the belief that lasting school improvement will occur when teachers become more involved in professional decision-making at the school site. Presented in this document are four conceptually distinct models of teacher involvement in schoolwide decision-making, identified on the…

Improving Consumer Information for Higher Education Planning

ERIC Educational Resources Information Center

Herndon, M. Craig

2012-01-01

It is a historically held principle of microeconomics that in the presence of better information, consumers make better decisions. This chapter focuses on information to guide consumers in making decisions about higher education. It examines the development and implementation of a one-stop career and college planning tool that leverages existing…

Hypothesis-Driven Story Building: Counteracting Human Cognitive Biases to Improve Medical Diagnosis Support

ERIC Educational Resources Information Center

Zhu, Shizhuo

2010-01-01

Clinical decision-making is challenging mainly because of two factors: (1) patient conditions are often complicated with partial and changing information; (2) people have cognitive biases in their decision-making and information-seeking. Consequentially, misdiagnoses and ineffective use of resources may happen. To better support clinical…

Planning the Transition to End-of-Life Care in Advanced Cancer (PDQ®)—Health Professional Version

Cancer.gov

Planning the transition to end-of-life care in advanced cancer involves making decisions that can be challenging and emotionally distressing. Get information about likely topics and strategies to improve patient-oncologist communication and decision making in this clinician summary.

Financing Postsecondary Education: Policy Development and Decision Making. A Series of Conferences. Conference Handbook.

ERIC Educational Resources Information Center

Education Commission of the States, Denver, CO.

This handbook attempts to improve policy development and decision making relative to financing postsecondary education. Sections cover: (1) descriptions and comparisons of selected reports relative to recommendations for postsecondary financing; (2) position statements and/or comments on postsecondary financing from certain cooperative sponsoring…

Information Input and Performance in Small Decision Making Groups.

ERIC Educational Resources Information Center

Ryland, Edwin Holman

It was hypothesized that increases in the amount and specificity of information furnished to a discussion group would facilitate group decision making and improve other aspects of group and individual performance. Procedures in testing these assumptions included varying the amounts of statistics, examples, testimony, and augmented information…

Selecting the Right Data

ERIC Educational Resources Information Center

Parsley, Danette; Dean, Ceri; Miller, Kirsten

2006-01-01

Data exists in the context of a community that drives data collection and use. The effective use of data can help principals make informed decisions about their policies, practices, and procedures to improve student achievement. The more systematic and thorough principals are about bringing data to the table when making decisions, the more…

Setting Proficiency Standards for School Leadership Assessment: An Examination of Cut Score Decision Making

ERIC Educational Resources Information Center

Cravens, Xiu Chen; Goldring, Ellen B.; Porter, Andrew C.; Polikoff, Morgan S.; Murphy, Joseph; Elliott, Stephen N.

2013-01-01

Purpose: Performance evaluation informs professional development and helps school personnel improve student learning. Although psychometric literature indicates that a rational, sound, and coherent standard-setting process adds to the credibility of an assessment, few studies have empirically examined the decision-making process. This article…

Factors Promoting and Hindering Data-Based Decision Making in Schools

ERIC Educational Resources Information Center

Schildkamp, Kim; Poortman, Cindy; Luyten, Hans; Ebbeler, Johanna

2017-01-01

Although data-based decision making can lead to improved student achievement, data are often not used effectively in schools. This paper therefore focuses on conditions for effective data use. We studied the extent to which school organizational characteristics, data characteristics, user characteristics, and collaboration influenced data use for…

Implementing a Quality Needs Assessment

ERIC Educational Resources Information Center

Cuiccio, Cary

2012-01-01

Districts nationwide are facing budget cuts that, to some, feel more like funding cliffs. Accordingly, school teams are re-examining their personnel, programs, and schedules so that they can make difficult decisions about where to spend resources to realize the greatest improvement. The principals who are able to make decisions with data from…

Nutrient Loading Impacts on Culturable E. coli and other Heterotrophic Bacteria Fate in Simulated Stream Mesocosms

USDA-ARS?s Scientific Manuscript database

Understanding fecal indicator bacteria persistence in aquatic environments is important when making management decisions to improve instream water quality. Routinely, bacteria fate and transport models that rely on published kinetic decay constants are used to inform such decision making. The object...

Sharing Power with Parents: Improving Educational Decision Making for Students with Learning Disabilities

ERIC Educational Resources Information Center

Connor, David J.; Cavendish, Wendy

2018-01-01

In this closing commentary to the special edition of "Learning Disability Quarterly" ("LDQ") on parent voice in educational decision making for students with learning disabilities, we briefly survey main topics from each article, illuminating important findings from the authors, along with several questions they raise, and…

REGIONAL VULNERABILITY ASSESSMENT (REVA) IMPROVING ENVIRONMENTAL DECISION MAKING THROUGH CLIENT PARTNERSHIPS

EPA Science Inventory

The Regional Vulnerability Assessment (ReV A) Program is an applied research program t,1at is focusing on using spatial information and model results to support environmental decision-making at regional- down to local-scales. Re VA has developed analysis and assessment methods to...

Collective intelligence meets medical decision-making: the collective outperforms the best radiologist.

PubMed

Wolf, Max; Krause, Jens; Carney, Patricia A; Bogart, Andy; Kurvers, Ralf H J M

2015-01-01

While collective intelligence (CI) is a powerful approach to increase decision accuracy, few attempts have been made to unlock its potential in medical decision-making. Here we investigated the performance of three well-known collective intelligence rules ("majority", "quorum", and "weighted quorum") when applied to mammography screening. For any particular mammogram, these rules aggregate the independent assessments of multiple radiologists into a single decision (recall the patient for additional workup or not). We found that, compared to single radiologists, any of these CI-rules both increases true positives (i.e., recalls of patients with cancer) and decreases false positives (i.e., recalls of patients without cancer), thereby overcoming one of the fundamental limitations to decision accuracy that individual radiologists face. Importantly, we find that all CI-rules systematically outperform even the best-performing individual radiologist in the respective group. Our findings demonstrate that CI can be employed to improve mammography screening; similarly, CI may have the potential to improve medical decision-making in a much wider range of contexts, including many areas of diagnostic imaging and, more generally, diagnostic decisions that are based on the subjective interpretation of evidence.

Shared decision-making in an intercultural context. Barriers in the interaction between physicians and immigrant patients.

PubMed

Suurmond, Jeanine; Seeleman, Conny

2006-02-01

The objective of this exploratory paper is to describe several barriers in shared decision-making in an intercultural context. Based on the prevailing literature on intercultural communication in medical settings, four conceptual barriers were described. When the conceptual barriers were described, they were compared with the results from semi-structured interviews with purposively selected physicians (n = 18) and immigrant patients (n = 13). Physicians differed in medical discipline (GPs, company doctors, an internist, a cardiologist, a gynaecologist, and an intern) and patients had different ethnic and immigration backgrounds. The following barriers were found: (1) physician and patient may not share the same linguistic background; (2) physician and patient may not share similar values about health and illness; (3) physician and patient may not have similar role expectations; and (4) physician and patient may have prejudices and do not speak to each other in an unbiased manner. We conclude that due to these barriers, the transfer of information, the formulation of the diagnosis, and the discussion of treatment options are at stake and the shared decision-making process is impeded. Improving physician's skills to recognize the communication limitations during shared decision-making as well as improving the skills to deal with the barriers may help to ameliorate shared decision-making in an intercultural setting.

Affective biasing of choices in gambling task decision making.

PubMed

Hinson, John M; Whitney, Paul; Holben, Heather; Wirick, Aaron K

2006-09-01

The proponents of the somatic marker hypothesis presume that rational decision making is guided by emotional reactions that are developed from prior experience. Supporting evidence for the hypothesis comes almost exclusively from the short-term affective reactions that are learned during the course of a hypothetical decision-making task--the gambling task (GT). We examined GT performance and affective reactions to choices when those choices were biased by words that had preexisting affective value. In one experiment, affectively valued words directly signaled good and bad choices. A congruent relation between affective value of word and choice outcome improved GT performance, whereas an incongruent relation greatly interfered with performance. In another experiment, affectively valued words were maintained as a working memory (WM) load between GT choices. A WM load with affectively positive words somewhat improved GT performance, whereas affectively negative words interfered with performance. Somatic markers-indicated by differential anticipatory skin conductance response (SCR) amplitude for good and bad choices-appeared at a point in the GT session when choice performance was superior. However, differential SCR developed during the session after good choice performance was already established. These results indicate that preexisting affective biases can influence GT decision making. In addition, the somatic markers that are regular accompaniments of GT decision making appeared to be temporally lagging indicators of choice performance.

Orbitofrontal cortex, emotional decision-making and response to cognitive behavioural therapy for psychosis

PubMed Central

Premkumar, Preethi; Fannon, Dominic; Sapara, Adegboyega; Peters, Emmanuelle R.; Anilkumar, Anantha P.; Simmons, Andrew; Kuipers, Elizabeth; Kumari, Veena

2015-01-01

Grey matter volume (GMV) in the orbitofrontal cortex (OFC) may relate to better response to cognitive behavioural therapy for psychosis (CBTp) because of the region׳s role in emotional decision-making and cognitive flexibility. This study aimed to determine the relation between pre-therapy OFC GMV or asymmetry, emotional decision-making and CBTp responsiveness. Emotional decision-making was measured by the Iowa Gambling task (IGT). Thirty patients received CBTp+standard care (CBTp+SC; 25 completers) for 6–8 months. All patients (before receiving CBTp) and 25 healthy participants underwent structural magnetic resonance imaging. Patients׳ symptoms were assessed before and after therapy. Pre-therapy OFC GMV was measured using a region-of-interest approach, and IGT performance was measured as overall learning, attention to reward, memory for past outcomes and choice consistency. Both these measures, were comparable between patient and healthy groups. In the CBTp+SC group, greater OFC GMV correlated with positive symptom improvement, specifically hallucinations and persecution. Greater rightward OFC asymmetry correlated with improvement in several negative and general psychopathology symptoms. Greater left OFC GMV was associated with lower IGT attention to reward. The findings suggest that greater OFC volume and rightward asymmetry, which maintain the OFC׳s function in emotional decision-making and cognitive flexibility, are beneficial for CBTp responsiveness. PMID:25659473

Climate forecasts for corn producer decision making

USDA-ARS?s Scientific Manuscript database

Corn is the most widely grown crop in the Americas, with annual production in the United States of approximately 332 million metric tons. Improved climate forecasts, together with climate-related decision tools for corn producers based on these improved forecasts, could substantially reduce uncertai...

Use of economic evaluation in decision making: evidence and recommendations for improvement.

PubMed

Simoens, Steven

2010-10-22

Information about the value for money of a medicine as derived from an economic evaluation can be used for decision-making purposes by policy makers, healthcare payers, healthcare professionals and pharmaceutical companies. This article illustrates the use of economic evaluation by decision makers and formulates a number of recommendations to enhance the use of such evaluations for decision-making purposes. Over the last decades, there has been a substantial increase in the number of economic evaluations assessing the value for money of medicines. Economic evaluation is used by policy makers and healthcare payers to inform medicine pricing/reimbursement decisions in more and more countries. It is a suitable tool to evaluate medicines and to present information about their value for money to decision makers in a familiar format. In order to fully exploit the use of economic evaluation for decision-making purposes, researchers need to take care to conduct such economic evaluations according to methodologically sound principles. Additionally, researchers need to take into account the decision-making context. They need to identify the various objectives that decision makers pursue and discuss how decision makers can use study findings to attain these objectives. These issues require further attention from researchers, policy makers, healthcare payers, healthcare professionals and pharmaceutical companies with a view to optimizing the use of economic evaluation in decision making.

DECISION-MAKING ALIGNED WITH RAPID-CYCLE EVALUATION IN HEALTH CARE.

PubMed

Schneeweiss, Sebastian; Shrank, William H; Ruhl, Michael; Maclure, Malcolm

2015-01-01

Availability of real-time electronic healthcare data provides new opportunities for rapid-cycle evaluation (RCE) of health technologies, including healthcare delivery and payment programs. We aim to align decision-making processes with stages of RCE to optimize the usefulness and impact of rapid results. Rational decisions about program adoption depend on program effect size in relation to externalities, including implementation cost, sustainability, and likelihood of broad adoption. Drawing on case studies and experience from drug safety monitoring, we examine how decision makers have used scientific evidence on complex interventions in the past. We clarify how RCE alters the nature of policy decisions; develop the RAPID framework for synchronizing decision-maker activities with stages of RCE; and provide guidelines on evidence thresholds for incremental decision-making. In contrast to traditional evaluations, RCE provides early evidence on effectiveness and facilitates a stepped approach to decision making in expectation of future regularly updated evidence. RCE allows for identification of trends in adjusted effect size. It supports adapting a program in midstream in response to interim findings, or adapting the evaluation strategy to identify true improvements earlier. The 5-step RAPID approach that utilizes the cumulating evidence of program effectiveness over time could increase policy-makers' confidence in expediting decisions. RCE enables a step-wise approach to HTA decision-making, based on gradually emerging evidence, reducing delays in decision-making processes after traditional one-time evaluations.

Decision-making in product portfolios of pharmaceutical research and development – managing streams of innovation in highly regulated markets

PubMed Central

Jekunen, Antti

2014-01-01

Decision-making is a core function of any drug development firm. Developing drugs demands a firm to be highly innovative, while at the same time the activity is strictly regulated. Successful drug development offers the right to apply for a long-term patent that confers exclusive marketing rights. This article addresses the issue of what constitutes an adequate portfolio of drugs for a drug development firm and how it might be managed successfully. The paper investigates decision-making in the industry and specifically in the development of oncology drugs from various perspectives: the need for decisions, their timing, decision-making at the project level, the optimal portfolio, tools for portfolio analysis, the evaluation of patents, and finally the importance of the drug portfolio. Drug development decisions as important organizational elements should get more emphasis, and decisions in drug portfolio using modern decision-making methods should be used more widely than what currently happens. Structured, informed decisions would help avoiding late terminations of drugs in Phase III development. An improved research and development pipeline and drug portfolio management are the major elements in the general strategy targeting success. PMID:25364229

Decision-making in product portfolios of pharmaceutical research and development--managing streams of innovation in highly regulated markets.

PubMed

Jekunen, Antti

2014-01-01

Decision-making is a core function of any drug development firm. Developing drugs demands a firm to be highly innovative, while at the same time the activity is strictly regulated. Successful drug development offers the right to apply for a long-term patent that confers exclusive marketing rights. This article addresses the issue of what constitutes an adequate portfolio of drugs for a drug development firm and how it might be managed successfully. The paper investigates decision-making in the industry and specifically in the development of oncology drugs from various perspectives: the need for decisions, their timing, decision-making at the project level, the optimal portfolio, tools for portfolio analysis, the evaluation of patents, and finally the importance of the drug portfolio. Drug development decisions as important organizational elements should get more emphasis, and decisions in drug portfolio using modern decision-making methods should be used more widely than what currently happens. Structured, informed decisions would help avoiding late terminations of drugs in Phase III development. An improved research and development pipeline and drug portfolio management are the major elements in the general strategy targeting success.

Decision making under ambiguity and under risk in mesial temporal lobe epilepsy.

PubMed

Delazer, Margarete; Zamarian, Laura; Bonatti, Elisabeth; Kuchukhidze, Giorgi; Koppelstätter, Florian; Bodner, Thomas; Benke, Thomas; Trinka, Eugen

2010-01-01

Decision making is essential in everyday life. Though the importance of the mesial temporal lobe in emotional processing and feedback learning is generally recognized, decision making in mesial temporal lobe epilepsy (mTLE) is almost unexplored so far. Twenty-eight consecutive epilepsy patients with drug resistant mTLE and fifty healthy controls performed decision tasks under initial ambiguity (participants have to learn by feedback to make advantageous decisions) and under risk (advantageous choices may be made by estimating risks and by rational strategies). A subgroup analysis compared the performance of patients affected by MRI-verified abnormalities of the hippocampus or amygdala. The effect of lesion side was also assessed. In decision under ambiguity, mTLE patients showed marked deficits and did not improve over the task. Patients with hippocampus abnormality and patients with amygdala abnormality showed comparable deficits. No difference was found between right and left TLE groups. In decision under risk, mTLE patients performed at the same level as controls. Results suggest that mTLE patients have difficulties in learning from feedback and in making decisions in uncertain, ambiguous situations. By contrast, they are able to make advantageous decisions when full information is given and risks, possible gains and losses are exactly defined.

Cognitive influences on self-care decision making in persons with heart failure.

PubMed

Dickson, Victoria V; Tkacs, Nancy; Riegel, Barbara

2007-09-01

Despite advances in management, heart failure is associated with high rates of hospitalization, poor quality of life, and early death. Education intended to improve patients' abilities to care for themselves is an integral component of disease management programs. True self-care requires that patients make decisions about symptoms, but the cognitive deficits documented in 30% to 50% of the heart failure population may make daily decision making challenging. After describing heart failure self-care as a naturalistic decision making process, we explore cognitive deficits known to exist in persons with heart failure. Problems in heart failure self-care are analyzed in relation to neural alterations associated with heart failure. As a neural process, decision making has been traced to regions of the prefrontal cortex, the same areas that are affected by ischemia, infarction, and hypoxemia in heart failure. Resulting deficits in memory, attention, and executive function may impair the perception and interpretation of early symptoms and reasoning and, thereby, delay early treatment implementation. There is compelling evidence that the neural processes critical to decision making are located in the same structures that are affected by heart failure. Because self-care requires the cognitive ability to learn, perceive, interpret, and respond, research is needed to discern how neural deficits affects these abilities, decision-making, and self-care behaviors.

Applying strategies from libertarian paternalism to decision making for prostate specific antigen (PSA) screening

PubMed Central

2011-01-01

Background Despite the recent publication of results from two randomized clinical trials, prostate specific antigen (PSA) screening for prostate cancer remains a controversial issue. There is lack of agreement across studies that PSA screening significantly reduces prostate cancer mortality. In spite of these facts, the widespread use of PSA testing in the United States leads to overdetection and overtreatment of clinically indolent prostate cancer, and its associated harms of incontinence and impotence. Discussion Given the inconclusive results from clinical trials and incongruent PSA screening guidelines, the decision to screen for prostate cancer with PSA testing is an uncertain one for patients and health care providers. Screening guidelines from some health organizations recommend an informed decision making (IDM) or shared decision making (SDM) approach for deciding on PSA screening. These approaches aim to empower patients to choose among the available options by making them active participants in the decision making process. By increasing involvement of patients in the clinical decision-making process, IDM/SDM places more of the responsibility for a complex decision on the patient. Research suggests, however, that patients are not well-informed of the harms and benefits associated with prostate cancer screening and are also subject to an assortment of biases, emotion, fears, and irrational thought that interferes with making an informed decision. In response, the IDM/SDM approaches can be augmented with strategies from the philosophy of libertarian paternalism (LP) to improve decision making. LP uses the insights of behavioural economics to help people better make better choices. Some of the main strategies of LP applicable to PSA decision making are a default decision rule, framing of decision aids, and timing of the decision. In this paper, we propose that applying strategies from libertarian paternalism can help with PSA screening decision-making. Summary Our proposal to augment IDM and SDM approaches with libertarian paternalism strategies is intended to guide patients toward a better decision about testing while maintaining personal freedom of choice. While PSA screening remains controversial and evidence conflicting, a libertarian-paternalism influenced approach to decision making can help prevent the overdiagnosis and overtreatment of prostate cancer. PMID:21510865

Applying strategies from libertarian paternalism to decision making for prostate specific antigen (PSA) screening.

PubMed

Wheeler, David C; Szymanski, Konrad M; Black, Amanda; Nelson, David E

2011-04-21

Despite the recent publication of results from two randomized clinical trials, prostate specific antigen (PSA) screening for prostate cancer remains a controversial issue. There is lack of agreement across studies that PSA screening significantly reduces prostate cancer mortality. In spite of these facts, the widespread use of PSA testing in the United States leads to overdetection and overtreatment of clinically indolent prostate cancer, and its associated harms of incontinence and impotence. Given the inconclusive results from clinical trials and incongruent PSA screening guidelines, the decision to screen for prostate cancer with PSA testing is an uncertain one for patients and health care providers. Screening guidelines from some health organizations recommend an informed decision making (IDM) or shared decision making (SDM) approach for deciding on PSA screening. These approaches aim to empower patients to choose among the available options by making them active participants in the decision making process. By increasing involvement of patients in the clinical decision-making process, IDM/SDM places more of the responsibility for a complex decision on the patient. Research suggests, however, that patients are not well-informed of the harms and benefits associated with prostate cancer screening and are also subject to an assortment of biases, emotion, fears, and irrational thought that interferes with making an informed decision. In response, the IDM/SDM approaches can be augmented with strategies from the philosophy of libertarian paternalism (LP) to improve decision making. LP uses the insights of behavioural economics to help people better make better choices. Some of the main strategies of LP applicable to PSA decision making are a default decision rule, framing of decision aids, and timing of the decision. In this paper, we propose that applying strategies from libertarian paternalism can help with PSA screening decision-making. Our proposal to augment IDM and SDM approaches with libertarian paternalism strategies is intended to guide patients toward a better decision about testing while maintaining personal freedom of choice. While PSA screening remains controversial and evidence conflicting, a libertarian-paternalism influenced approach to decision making can help prevent the overdiagnosis and overtreatment of prostate cancer.

End-of-Life Decision Making in Palliative Care and Recommendations of the Council of Europe: Qualitative Secondary Analysis of Interviews and Observation Field Notes.

PubMed

Martins Pereira, Sandra; Fradique, Emília; Hernández-Marrero, Pablo

2018-05-01

End-of-life decisions (ELDs) are embedded in clinical, sociocultural, political, economic, and ethical concerns. In 2014, the Council of Europe (CoE) through its Committee on Bioethics launched the "Guide on the decision-making process regarding medical treatment in end-of-life situations," aiming at improving decision-making processes and empowering professionals in making ELDs. To analyze if end-of-life decision making in palliative care (PC) is consistent with this Guide and to identify if disputed/controversial issues are part of current ELDs. Qualitative secondary analysis. Four qualitative datasets, including 44 interviews and 9 team observation field notes from previous studies with PC teams/professionals in Portugal. An analysis grid based on the abovementioned guide was created considering three dimensions: ethical and legal frameworks, decision-making process, and disputed/controversial issues. The majority of the professionals considered the ethical principle of autonomy paramount in end-of-life decision making. Justice and beneficence/nonmaleficence were also valued. Although not mentioned in the Guide, the professionals also considered other ethical principles when making ELDs, namely, responsibility, integrity, and dignity. Most of the interviewees and field notes referred to the collective interprofessional dimension of the decision-making process. Palliative sedation and the wish to hasten death were the most mentioned disputed/controversial issues. The nature, limitations, and benefits of qualitative secondary analysis are discussed. End-of-life decision-making processes made by Portuguese PC teams seem to be consistent with the guidelines of the CoE. Further research is needed about disputed/controversial issues and the actual use, effectiveness, and impact of ethical guidelines for end-of-life decision making on professionals' empowerment and for all parties involved.

Decision-Making Experiences of Patients with Implantable Cardioverter Defibrillators.

PubMed

Green, Ariel R; Jenkins, Amy; Masoudi, Frederick A; Magid, David J; Kutner, Jean S; Leff, Bruce; Matlock, Daniel D

2016-10-01

When patients are not adequately engaged in decision making, they may be at risk of decision regret. Our objective was to explore patients' perceptions of their decision-making experiences related to implantable cardioverter defibrillators (ICDs). Cross-sectional, mailed survey of 412 patients who received an ICD without cardiac resynchronization therapy for any indication between 2006 and 2009. Patients were asked about decision participation and decision regret. A total of 295 patients with ICDs responded (72% response rate). Overall, 79% reported that they were as involved in the decision as they wanted. However, 28% reported that they were not told of the option of not getting an ICD and 37% did not remember being asked if they wanted an ICD. In total, 19% reported not wanting their ICD at the time of implantation. Those who did not want the ICD were younger (<65 years; 74% vs 43%, P < 0.001), had higher decision regret (31/100 vs 11/100, P < 0.001), and reported less participation in decision making (the doctor "totally" made the decision, 9% vs 3%; P < 0.001). A considerable number of ICD recipients recalled not wanting their ICD at the time of implantation. While these findings may be prone to recall bias, they likely identify opportunities to improve ICD decision making. © 2016 Wiley Periodicals, Inc.

The Psychology and Neuroscience of Financial Decision Making.

PubMed

Frydman, Cary; Camerer, Colin F

2016-09-01

Financial decisions are among the most important life-shaping decisions that people make. We review facts about financial decisions and what cognitive and neural processes influence them. Because of cognitive constraints and a low average level of financial literacy, many household decisions violate sound financial principles. Households typically have underdiversified stock holdings and low retirement savings rates. Investors overextrapolate from past returns and trade too often. Even top corporate managers, who are typically highly educated, make decisions that are affected by overconfidence and personal history. Many of these behaviors can be explained by well-known principles from cognitive science. A boom in high-quality accumulated evidence-especially how practical, low-cost 'nudges' can improve financial decisions-is already giving clear guidance for balanced government regulation. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Group decision-making techniques for natural resource management applications

USGS Publications Warehouse

Coughlan, Beth A.K.; Armour, Carl L.

1992-01-01

This report is an introduction to decision analysis and problem-solving techniques for professionals in natural resource management. Although these managers are often called upon to make complex decisions, their training in the natural sciences seldom provides exposure to the decision-making tools developed in management science. Our purpose is to being to fill this gap. We present a general analysis of the pitfalls of group problem solving, and suggestions for improved interactions followed by the specific techniques. Selected techniques are illustrated. The material is easy to understand and apply without previous training or excessive study and is applicable to natural resource management issues.

Acting Irrationally to Improve Performance in Stochastic Worlds

NASA Astrophysics Data System (ADS)

Belavkin, Roman V.

Despite many theories and algorithms for decision-making, after estimating the utility function the choice is usually made by maximising its expected value (the max EU principle). This traditional and 'rational' conclusion of the decision-making process is compared in this paper with several 'irrational' techniques that make choice in Monte-Carlo fashion. The comparison is made by evaluating the performance of simple decision-theoretic agents in stochastic environments. It is shown that not only the random choice strategies can achieve performance comparable to the max EU method, but under certain conditions the Monte-Carlo choice methods perform almost two times better than the max EU. The paper concludes by quoting evidence from recent cognitive modelling works as well as the famous decision-making paradoxes.

Designing Visual Aids That Promote Risk Literacy: A Systematic Review of Health Research and Evidence-Based Design Heuristics.

PubMed

Garcia-Retamero, Rocio; Cokely, Edward T

2017-06-01

Background Effective risk communication is essential for informed decision making. Unfortunately, many people struggle to understand typical risk communications because they lack essential decision-making skills. Objective The aim of this study was to review the literature on the effect of numeracy on risk literacy, decision making, and health outcomes, and to evaluate the benefits of visual aids in risk communication. Method We present a conceptual framework describing the influence of numeracy on risk literacy, decision making, and health outcomes, followed by a systematic review of the benefits of visual aids in risk communication for people with different levels of numeracy and graph literacy. The systematic review covers scientific research published between January 1995 and April 2016, drawn from the following databases: Web of Science, PubMed, PsycINFO, ERIC, Medline, and Google Scholar. Inclusion criteria were investigation of the effect of numeracy and/or graph literacy, and investigation of the effect of visual aids or comparison of their effect with that of numerical information. Thirty-six publications met the criteria, providing data on 27,885 diverse participants from 60 countries. Results Transparent visual aids robustly improved risk understanding in diverse individuals by encouraging thorough deliberation, enhancing cognitive self-assessment, and reducing conceptual biases in memory. Improvements in risk understanding consistently produced beneficial changes in attitudes, behavioral intentions, trust, and healthy behaviors. Visual aids were found to be particularly beneficial for vulnerable and less skilled individuals. Conclusion Well-designed visual aids tend to be highly effective tools for improving informed decision making among diverse decision makers. We identify five categories of practical, evidence-based guidelines for heuristic evaluation and design of effective visual aids.

Key elements of optimal treatment decision-making for surgeons and older patients with colorectal or pancreatic cancer: A qualitative study.

PubMed

Geessink, Noralie H; Schoon, Yvonne; van Herk, Hanneke C P; van Goor, Harry; Olde Rikkert, Marcel G M

2017-03-01

To identify key elements of optimal treatment decision-making for surgeons and older patients with colorectal (CRC) or pancreatic cancer (PC). Six focus groups with different participants were performed: three with older CRC/PC patients and relatives, and three with physicians. Supplementary in-depth interviews were conducted in another seven patients. Framework analysis was used to identify key elements in decision-making. 23 physicians, 22 patients and 14 relatives participated. Three interacting components were revealed: preconditions, content and facilitators of decision-making. To provide optimal information about treatments' impact on an older patient's daily life, physicians should obtain an overall picture and take into account patients' frailty. Depending on patients' preferences and capacities, dividing decision-making into more sessions will be helpful and simultaneously emphasize patients' own responsibility. GPs may have a valuable contribution because of their background knowledge and supportive role. Stakeholders identified several crucial elements in the complex surgical decision-making of older CRC/PC patients. Structured qualitative research may also be of great help in optimizing other treatment directed decision-making processes. Surgeons should be trained in examining preconditions and useful facilitators in decision-making in older CRC/PC patients to optimize its content and to improve the quality of shared care. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Decision-making in palliative care: a reflective case study.

PubMed

Birchall, Melissa

2005-01-01

Critical examination of the processes by which we as nurses judge and reach clinical decisions is important. It facilitates the maintenance and refinement of good standards of nursing care and the pinpointing of areas where improvement is needed. In turn this potentially could support broader validation of nurse expertise and contribute to emancipation of the nursing profession. As pure theory, clinical decision-making may appear abstract and alien to nurses struggling in 'the swampy lowlands' (Schon 1983) of the realities of practice. This paper explores some of the key concepts in decision-making theory by introducing, then integrating, them in a reflective case study. The case study, which examines a 'snapshot' of the patient and practitioner's journey, interwoven with theory surrounding clinical decision-making, may aid understanding and utility of concepts and theories in practice.

Predictive and Prognostic Models: Implications for Healthcare Decision-Making in a Modern Recession

PubMed Central

Vogenberg, F. Randy

2009-01-01

Various modeling tools have been developed to address the lack of standardized processes that incorporate the perspectives of all healthcare stakeholders. Such models can assist in the decision-making process aimed at achieving specific clinical outcomes, as well as guide the allocation of healthcare resources and reduce costs. The current efforts in Congress to change the way healthcare is financed, reimbursed, and delivered have rendered the incorporation of modeling tools into the clinical decision-making all the more important. Prognostic and predictive models are particularly relevant to healthcare, particularly in the clinical decision-making, with implications for payers, patients, and providers. The use of these models is likely to increase, as providers and patients seek to improve their clinical decision process to achieve better outcomes, while reducing overall healthcare costs. PMID:25126292

Rationality, emotions and ethics: Towards better environmental decision making

DOE Office of Scientific and Technical Information (OSTI.GOV)

Andrews, W.J.

1995-12-31

A common view among rationally-oriented individuals is that environmental decision-making would be better if it were based more on science and less on emotion. This is too simplistic. Science alone is not wisdom. The best decisions come from the integration of rationality, emotion and ethics. Each of us makes each decision on the basis of a unique, personal combination of these factors. Yet, typically man is unbalanced, valuing only one of these factors and even denigrating one or both of the others. This is at the root of the personal and social inability to live in harmony with oneself andmore » with nature. The highest forms of each of these factors truth (rationality), love (emotions) and goodness (ethics) are different ways of expressing the same thing. Only by allowing oneself to integrate and honor each of these factors in both individual and social decision-making will one improve environmental decisions. An example in the area of social decision-making is the need for much more innovative mechanisms for public participation.« less

Adaptive leadership: a novel approach for family decision making.

PubMed

Adams, Judith; Bailey, Donald E; Anderson, Ruth A; Galanos, Anthony N

2013-03-01

Family members of intensive care unit (ICU) patients want to be involved in decision making, but they may not be best served by being placed in the position of having to solve problems for which they lack knowledge and skills. This case report presents an exemplar family meeting in the ICU led by a palliative care specialist, with discussion about the strategies used to improve the capacity of the family to make a decision consistent with the patient's goals. These strategies are presented through the lens of Adaptive Leadership.

Error affect inoculation for a complex decision-making task.

PubMed

Tabernero, Carmen; Wood, Robert E

2009-05-01

Individuals bring knowledge, implicit theories, and goal orientations to group meetings. Group decisions arise out of the exchange of these orientations. This research explores how a trainee's exploratory and deliberate process (an incremental theory and learning goal orientation) impacts the effectiveness of individual and group decision-making processes. The effectiveness of this training program is compared with another program that included error affect inoculation (EAI). Subjects were 40 Spanish Policemen in a training course. They were distributed in two training conditions for an individual and group decision-making task. In one condition, individuals received the Self-Guided Exploration plus Deliberation Process instructions, which emphasised exploring the options and testing hypotheses. In the other condition, individuals also received instructions based on Error Affect Inoculation (EAI), which emphasised positive affective reactions to errors and mistakes when making decisions. Results show that the quality of decisions increases when the groups share their reasoning. The AIE intervention promotes sharing information, flexible initial viewpoints, and improving the quality of group decisions. Implications and future directions are discussed.

[Transparency in public health decision-making].

PubMed

García-Altés, Anna; Argimon, Josep M

2016-11-01

Improving the quality and transparency of governmental healthcare decision-making has an impact on the health of the population through policies, organisational management and clinical practice. Moreover, the comparison between healthcare centres and the transparent feedback of results to professionals and to the wider public contribute directly to improved results. The "Results Centre" of the Catalan healthcare system measures and disseminates the results achieved by the different healthcare centres in order to facilitate a shared decision-making process, thereby enhancing the quality of healthcare provided to the population of Catalonia (Spain). This is a pioneering initiative in Spain and is aligned with the most advanced countries in terms of policies of transparency and accountability. Copyright © 2016 SESPAS. Publicado por Elsevier España, S.L.U. All rights reserved.

Research on comprehensive decision-making of PV power station connecting system

NASA Astrophysics Data System (ADS)

Zhou, Erxiong; Xin, Chaoshan; Ma, Botao; Cheng, Kai

2018-04-01

In allusion to the incomplete indexes system and not making decision on the subjectivity and objectivity of PV power station connecting system, based on the combination of improved Analytic Hierarchy Process (AHP), Criteria Importance Through Intercriteria Correlation (CRITIC) as well as grey correlation degree analysis (GCDA) is comprehensively proposed to select the appropriate system connecting scheme of PV power station. Firstly, indexes of PV power station connecting system are divided the recursion order hierarchy and calculated subjective weight by the improved AHP. Then, CRITIC is adopted to determine the objective weight of each index through the comparison intensity and conflict between indexes. The last the improved GCDA is applied to screen the optimal scheme, so as to, from the subjective and objective angle, select the connecting system. Comprehensive decision of Xinjiang PV power station is conducted and reasonable analysis results are attained. The research results might provide scientific basis for investment decision.

Decision-Making Quality in Parents Considering Adenotonsillectomy or Tympanostomy Tube Insertion for Their Children.

PubMed

Hong, Paul; Maguire, Erin; Purcell, Mary; Ritchie, Krista C; Chorney, Jill

2017-03-01

Shared decision making is a process in which clinicians and patients make health care decisions in a collaborative manner using the most up-to-date evidence, while considering patient values and preferences. Shared decision making is thought to have a positive influence on the decision-making process in medicine. To describe the level of decisional conflict and decisional regret experienced by parents considering surgery for their children and to determine relations among decisional conflict, decisional regret, and shared decision making. A prospective cohort study was conducted at an academic pediatric otolaryngology clinic. Participants included 126 parents of children younger than 6 years who underwent consultation for adenotonsillectomy or tympanostomy tube insertion. Parent participants completed the Shared Decision Making Questionnaire-Parent version, Decisional Conflict Scale (DCS), and Decisional Regret Scale (DRS). Surgeons completed the Shared Decision Making Questionnaire-Physician version. This study included 126 parents; 102 women (mean [SD] age, 33.2 [5.1] years) and 24 men (mean [SD] age, 35.6 [6.3] years). Overall, 34 parents (26%) reported clinically significant decisional conflict. Only 1 parent experienced moderate to strong decisional regret; 28 parents (43.7%) had mild decisional regret. Both parent and physician ratings of shared decision making were significantly negatively correlated with total DCS scores. Parent SDM-Q-9 and total DCS scores were significantly negatively correlated (rs[118] = -0.582; P < .001). Similarly, physician SDM-Q-Doc and total DCS scores were also significantly negatively correlated (rs[118] = -0.221; P = .04). Only parent ratings of shared decision making were significantly negatively correlated with total DRS scores (rs[63] = -0.254; P = .045). Those parents with clinically significant decisional conflict had significantly higher DRS scores (P = .02). Many parents experienced significant decisional conflict when making decisions about their child's elective surgical treatment. Parents who perceived themselves as being more involved in the decision-making process reported less decisional conflict and decisional regret. Future research should explore the influence of decision quality on health outcomes and develop methods to improve shared decision making.

Effects of Information Visualization on Older Adults’ Decision-Making Performance in a Medicare Plan Selection Task: A Comparative Usability Study

PubMed Central

Price, Margaux M; Crumley-Branyon, Jessica J; Leidheiser, William R

2016-01-01

Background Technology gains have improved tools for evaluating complex tasks by providing environmental supports (ES) that increase ease of use and improve performance outcomes through the use of information visualizations (info-vis). Complex info-vis emphasize the need to understand individual differences in abilities of target users, the key cognitive abilities needed to execute a decision task, and the graphical elements that can serve as the most effective ES. Older adults may be one such target user group that would benefit from increased ES to mitigate specific declines in cognitive abilities. For example, choosing a prescription drug plan is a necessary and complex task that can impact quality of life if the wrong choice is made. The decision to enroll in one plan over another can involve comparing over 15 plans across many categories. Within this context, the large amount of complex information and reduced working memory capacity puts older adults’ decision making at a disadvantage. An intentionally designed ES, such as an info-vis that reduces working memory demand, may assist older adults in making the most effective decision among many options. Objective The objective of this study is to examine whether the use of an info-vis can lower working memory demands and positively affect complex decision-making performance of older adults in the context of choosing a Medicare prescription drug plan. Methods Participants performed a computerized decision-making task in the context of finding the best health care plan. Data included quantitative decision-making performance indicators and surveys examining previous history with purchasing insurance. Participants used a colored info-vis ES or a table (no ES) to perform the decision task. Task difficulty was manipulated by increasing the number of selection criteria used to make an accurate decision. A repeated measures analysis was performed to examine differences between the two table designs. Results Twenty-three older adults between the ages of 66 and 80 completed the study. There was a main effect for accuracy such that older adults made more accurate decisions in the color info-vis condition than the table condition. In the low difficulty condition, participants were more successful at choosing the correct answer when the question was about the gap coverage attribute in the info-vis condition. Participants also made significantly faster decisions in the info-vis condition than in the table condition. Conclusions Reducing the working memory demand of the task through the use of an ES can improve decision accuracy, especially when selection criteria is only focused on a single attribute of the insurance plan. PMID:27251110

Making better decisions in uncertain times (Invited)

NASA Astrophysics Data System (ADS)

St John, C.

2013-12-01

Scientific information about climate change and other human impacts on the environment are increasingly available and sought after (often in the form of probabilistic forecasts or technical information related to engineering solutions). However, it is increasingly apparent that there are barriers to the use of this information by decision makers - either from its lack of application altogether, its usability for people without scientific backgrounds, or its ability to inform sound decisions and widespread behavior change. While the argument has been made that an information deficit is to blame, we argue that there is also a motivation deficit contributing to a lack of understanding of information about climate change impacts and solutions. Utilizing insight from over thirty years of research in social and cognitive psychology, in addition to other social sciences, the Center for Research on Environmental Decisions (CRED) seeks to understand how people make environmental decisions under conditions of uncertainty, and how these decisions can be improved. This presentation will focus specifically on recent research that has come forth since the 2009 publication of CRED's popular guide 'The Psychology of Climate Change Communication: A Guide for Scientists, Journalists, Educators, Political Aides, and the Interested Public.' Utilizing case studies from real world examples, this talk will explore how decision making can be improved through a better understanding of how people perceive and process uncertainty and risk. It will explore techniques such as choice architecture and 'nudging' behavior change, how social goals and group participation affect decision making, and how framing of environmental information influences mitigative behavior.

Low Cognitive Load and Reduced Arousal Impede Practice Effects on Executive Functioning, Metacognitive Confidence and Decision Making

PubMed Central

Jackson, Simon A.; Kleitman, Sabina; Aidman, Eugene

2014-01-01

The present study investigated the effects of low cognitive workload and the absence of arousal induced via external physical stimulation (motion) on practice-related improvements in executive (inhibitory) control, short-term memory, metacognitive monitoring and decision making. A total of 70 office workers performed low and moderately engaging passenger tasks in two successive 20-minute simulated drives and repeated a battery of decision making and inhibitory control tests three times – before, between and after these drives. For half the participants, visual simulation was synchronised with (moderately arousing) motion generated through LAnd Motion Platform, with vibration levels corresponding to a well-maintained unsealed road. The other half performed the same simulated drive without motion. Participants’ performance significantly improved over the three test blocks, which is indicative of typical practice effects. The magnitude of these improvements was the highest when both motion and moderate cognitive load were present. The same effects declined either in the absence of motion (low arousal) or following a low cognitive workload task, thus suggesting two distinct pathways through which practice-related improvements in cognitive performance may be hampered. Practice, however, degraded certain aspects of metacognitive performance, as participants became less likely to detect incorrect decisions in the decision-making test with each subsequent test block. Implications include consideration of low cognitive load and arousal as factors responsible for performance decline and targets for the development of interventions/strategies in low load/arousal conditions such as autonomous vehicle operations and highway driving. PMID:25549327

Identifying Non-Sustainable Courses of Action: A Prerequisite for Decision-Making in Education for Sustainable Development

NASA Astrophysics Data System (ADS)

Gresch, Helge; Bögeholz, Susanne

2013-04-01

Students are faced with a multitude of decisions as consumers and in societal debates. Because of the scarcity of resources, the destruction of ecosystems and social injustice in a globalized world, it is vital that students are able to identify non-sustainable courses of action when involved in decision-making. The application of decision-making strategies is one approach to enhancing the quality of decisions. Options that do not meet ecological, social or economic standards should be excluded using non-compensatory strategies whereas other tasks may require a complete trade-off of all the evidence, following a compensatory approach. To enhance decision-making competence, a computer-based intervention study was conducted that focused on the use of decision-making strategies. While the results of the summative evaluation are reported by Gresch et al. (International Journal of Science Education, 2011), in-depth analyses of process-related data collected during the information processing are presented in this paper to reveal insights into the mechanisms of the intervention. The quality of high school students' ( n = 120) metadecision skills when selecting a decision-making strategy was investigated using qualitative content analyses combined with inferential statistics. The results reveal that the students offered elaborate reflections on the sustainability of options. However, the characteristics that were declared non-sustainable differed among the students because societal norms and personal values were intertwined. One implication for education for sustainable development is that students are capable of reflecting on decision-making tasks and on corresponding favorable decision-making strategies at a metadecision level. From these results, we offer suggestions for improving learning environments and constructing test instruments for decision-making competence.

Noise, cost and speed-accuracy trade-offs: decision-making in a decentralized system

PubMed Central

Marshall, James A.R.; Dornhaus, Anna; Franks, Nigel R.; Kovacs, Tim

2005-01-01

Many natural and artificial decision-making systems face decision problems where there is an inherent compromise between two or more objectives. One such common compromise is between the speed and accuracy of a decision. The ability to exploit the characteristics of a decision problem in order to vary between the extremes of making maximally rapid, or maximally accurate decisions, is a useful property of such systems. Colonies of the ant Temnothorax albipennis (formerly Leptothorax albipennis) are a paradigmatic decentralized decision-making system, and have been shown flexibly to compromise accuracy for speed when making decisions during house-hunting. During emigration, a colony must typically evaluate and choose between several possible alternative new nest sites of differing quality. In this paper, we examine this speed-accuracy trade-off through modelling, and conclude that noise and time-cost of assessing alternative choices are likely to be significant for T. albipennis. Noise and cost of such assessments are likely to mean that T. albipennis' decision-making mechanism is Pareto-optimal in one crucial regard; increasing the willingness of individuals to change their decisions cannot improve collective accuracy overall without impairing speed. We propose that a decentralized control algorithm based on this emigration behaviour may be derived for applications in engineering domains and specify the characteristics of the problems to which it should be suited, based on our new results. PMID:16849234

Shared Decision-Making as the Future of Emergency Cardiology.

PubMed

Probst, Marc A; Noseworthy, Peter A; Brito, Juan P; Hess, Erik P

2018-02-01

Shared decision-making is playing an increasingly large role in emergency cardiovascular care. Although there are many challenges to successfully performing shared decision-making in the emergency department, there are numerous clinical scenarios in which it should be used. In this article, we explore new research and emerging decision aids in the following emergency care scenarios: (1) low-risk chest pain; (2) new-onset atrial fibrillation; and (3) moderate-risk syncope. These decision aids are designed to engage patients and facilitate shared decision-making for specific treatment and disposition (admit vs discharge) decisions. We then offer a 3-step, practical approach to performing shared decision-making in the acute care setting, on the basis of broad stakeholder input and previous conceptual work. Step 1 involves simply acknowledging that a clinical decision needs to be made. Step 2 involves a shared discussion about the working diagnosis and the options for care in the context of the patient's values, preferences, and circumstances. The third and final step requires the patient and provider to agree on a plan of action regarding further medical care. The implementation of shared decision-making in emergency cardiology has the potential to shift the paradigm of clinical practice from paternalism toward mutualism and improve the quality and experience of care for our patients. Copyright © 2017 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

Examining chronic care patient preferences for involvement in health-care decision making: the case of Parkinson's disease patients in a patient-centred clinic.

PubMed

Zizzo, Natalie; Bell, Emily; Lafontaine, Anne-Louise; Racine, Eric

2017-08-01

Patient-centred care is a recommended model of care for Parkinson's disease (PD). It aims to provide care that is respectful and responsive to patient preferences, values and perspectives. Provision of patient-centred care should entail considering how patients want to be involved in their care. To understand the participation preferences of patients with PD from a patient-centred care clinic in health-care decision-making processes. Mixed-methods study with early-stage Parkinson's disease patients from a patient-centred care clinic. Study involved a modified Autonomy Preference Index survey (N=65) and qualitative, semi-structured in-depth interviews, analysed using thematic qualitative content analysis (N=20, purposefully selected from survey participants). Interviews examined (i) the patient preferences for involvement in health-care decision making; (ii) patient perspectives on the patient-physician relationship; and (iii) patient preferences for communication of information relevant to decision making. Preferences for participation in decision making varied between individuals and also within individuals depending on decision type, relational and contextual factors. Patients had high preferences for communication of information, but with acknowledged limits. The importance of communication in the patient-physician relationship was emphasized. Patient preferences for involvement in decision making are dynamic and support shared decision making. Relational autonomy corresponds to how patients envision their participation in decision making. Clinicians may need to assess patient preferences on an on-going basis. Our results highlight the complexities of decision-making processes. Improved understanding of individual preferences could enhance respect for persons and make for patient-centred care that is truly respectful of individual patients' wants, needs and values. © 2016 The Authors. Health Expectations Published by John Wiley & Sons Ltd.

Decision aids for people facing health treatment or screening decisions.

PubMed

Stacey, Dawn; Légaré, France; Col, Nananda F; Bennett, Carol L; Barry, Michael J; Eden, Karen B; Holmes-Rovner, Margaret; Llewellyn-Thomas, Hilary; Lyddiatt, Anne; Thomson, Richard; Trevena, Lyndal; Wu, Julie H C

2014-01-28

Decision aids are intended to help people participate in decisions that involve weighing the benefits and harms of treatment options often with scientific uncertainty. To assess the effects of decision aids for people facing treatment or screening decisions. For this update, we searched from 2009 to June 2012 in MEDLINE; CENTRAL; EMBASE; PsycINFO; and grey literature. Cumulatively, we have searched each database since its start date including CINAHL (to September 2008). We included published randomized controlled trials of decision aids, which are interventions designed to support patients' decision making by making explicit the decision, providing information about treatment or screening options and their associated outcomes, compared to usual care and/or alternative interventions. We excluded studies of participants making hypothetical decisions. Two review authors independently screened citations for inclusion, extracted data, and assessed risk of bias. The primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were:A) 'choice made' attributes;B) 'decision-making process' attributes.Secondary outcomes were behavioral, health, and health-system effects. We pooled results using mean differences (MD) and relative risks (RR), applying a random-effects model. This update includes 33 new studies for a total of 115 studies involving 34,444 participants. For risk of bias, selective outcome reporting and blinding of participants and personnel were mostly rated as unclear due to inadequate reporting. Based on 7 items, 8 of 115 studies had high risk of bias for 1 or 2 items each.Of 115 included studies, 88 (76.5%) used at least one of the IPDAS effectiveness criteria: A) 'choice made' attributes criteria: knowledge scores (76 studies); accurate risk perceptions (25 studies); and informed value-based choice (20 studies); and B) 'decision-making process' attributes criteria: feeling informed (34 studies) and feeling clear about values (29 studies).A) Criteria involving 'choice made' attributes:Compared to usual care, decision aids increased knowledge (MD 13.34 out of 100; 95% confidence interval (CI) 11.17 to 15.51; n = 42). When more detailed decision aids were compared to simple decision aids, the relative improvement in knowledge was significant (MD 5.52 out of 100; 95% CI 3.90 to 7.15; n = 19). Exposure to a decision aid with expressed probabilities resulted in a higher proportion of people with accurate risk perceptions (RR 1.82; 95% CI 1.52 to 2.16; n = 19). Exposure to a decision aid with explicit values clarification resulted in a higher proportion of patients choosing an option congruent with their values (RR 1.51; 95% CI 1.17 to 1.96; n = 13).B) Criteria involving 'decision-making process' attributes:Decision aids compared to usual care interventions resulted in:a) lower decisional conflict related to feeling uninformed (MD -7.26 of 100; 95% CI -9.73 to -4.78; n = 22) and feeling unclear about personal values (MD -6.09; 95% CI -8.50 to -3.67; n = 18);b) reduced proportions of people who were passive in decision making (RR 0.66; 95% CI 0.53 to 0.81; n = 14); andc) reduced proportions of people who remained undecided post-intervention (RR 0.59; 95% CI 0.47 to 0.72; n = 18).Decision aids appeared to have a positive effect on patient-practitioner communication in all nine studies that measured this outcome. For satisfaction with the decision (n = 20), decision-making process (n = 17), and/or preparation for decision making (n = 3), those exposed to a decision aid were either more satisfied, or there was no difference between the decision aid versus comparison interventions. No studies evaluated decision-making process attributes for helping patients to recognize that a decision needs to be made, or understanding that values affect the choice.C) Secondary outcomes Exposure to decision aids compared to usual care reduced the number of people of choosing major elective invasive surgery in favour of more conservative options (RR 0.79; 95% CI 0.68 to 0.93; n = 15). Exposure to decision aids compared to usual care reduced the number of people choosing to have prostate-specific antigen screening (RR 0.87; 95% CI 0.77 to 0.98; n = 9). When detailed compared to simple decision aids were used, fewer people chose menopausal hormone therapy (RR 0.73; 95% CI 0.55 to 0.98; n = 3). For other decisions, the effect on choices was variable.The effect of decision aids on length of consultation varied from 8 minutes shorter to 23 minutes longer (median 2.55 minutes longer) with 2 studies indicating statistically-significantly longer, 1 study shorter, and 6 studies reporting no difference in consultation length. Groups of patients receiving decision aids do not appear to differ from comparison groups in terms of anxiety (n = 30), general health outcomes (n = 11), and condition-specific health outcomes (n = 11). The effects of decision aids on other outcomes (adherence to the decision, costs/resource use) were inconclusive. There is high-quality evidence that decision aids compared to usual care improve people's knowledge regarding options, and reduce their decisional conflict related to feeling uninformed and unclear about their personal values. There is moderate-quality evidence that decision aids compared to usual care stimulate people to take a more active role in decision making, and improve accurate risk perceptions when probabilities are included in decision aids, compared to not being included. There is low-quality evidence that decision aids improve congruence between the chosen option and the patient's values.New for this updated review is further evidence indicating more informed, values-based choices, and improved patient-practitioner communication. There is a variable effect of decision aids on length of consultation. Consistent with findings from the previous review, decision aids have a variable effect on choices. They reduce the number of people choosing discretionary surgery and have no apparent adverse effects on health outcomes or satisfaction. The effects on adherence with the chosen option, cost-effectiveness, use with lower literacy populations, and level of detail needed in decision aids need further evaluation. Little is known about the degree of detail that decision aids need in order to have a positive effect on attributes of the choice made, or the decision-making process.

Foundations Invest In Environmental Health.

PubMed

Sessions, Kathryn; Fortunato, Karla; Johnson, Philip R S; Panek, Amy

2016-11-01

Nearly one in four deaths globally are due to environmental hazards such as air and water pollution, according to the World Health Organization. However, knowledge about how the environment affects health and health equity outcomes has not been well integrated into decisions that shape the conditions in which people live, work, and play. To address this challenge, US foundations have invested millions of dollars to make it easier to incorporate environmental health information into decisions ranging from family purchases and governmental policy making to business, medical, and other professional practices. This article summarizes grant making aimed at improving environmental conditions to improve health and health equity outcomes. We provide examples of environmental health grants that focus on tools that the public, policy makers, and professionals can use in making decisions. We found that the investment in and attention to environmental factors, including in work addressing social determinants of health, have been insufficient to realize the potential for reducing negative environmental impacts on health and health disparities. We argue that the grant making highlighted here has increased knowledge that could enable more widespread consideration of environmental health in many decisions, with positive effects on health and health equity. Project HOPE—The People-to-People Health Foundation, Inc.

Enhancing emotion-based learning in decision-making under uncertainty.

PubMed

Alarcón, David; Amián, Josué G; Sánchez-Medina, José A

2015-01-01

The Iowa Gambling Task (IGT) is widely used to study decision-making differences between several clinical and healthy populations. Unlike the healthy participants, clinical participants have difficulty choosing between advantageous options, which yield long-term benefits, and disadvantageous options, which give high immediate rewards but lead to negative profits. However, recent studies have found that healthy participants avoid the options with a higher frequency of losses regardless of whether or not they are profitable in the long run. The aim of this study was to control for the confounding effect of the frequency of losses between options to improve the performance of healthy participants on the IGT. Eighty healthy participants were randomly assigned to the original IGT or a modified version of the IGT that diminished the gap in the frequency of losses between options. The participants who used the modified IGT version learned to make better decisions based on long-term profit, as indicated by an earlier ability to discriminate good from bad options, and took less time to make their choices. This research represents an advance in the study of decision making under uncertainty by showing that emotion-based learning is improved by controlling for the loss-frequency bias effect.

Use of a decision aid for prenatal testing of fetal abnormalities to improve women's informed decision making: a cluster randomised controlled trial [ISRCTN22532458].

PubMed

Nagle, C; Gunn, J; Bell, R; Lewis, S; Meiser, B; Metcalfe, S; Ukoumunne, O C; Halliday, J

2008-02-01

To evaluate the effectiveness of a decision aid for prenatal testing of fetal abnormalities compared with a pamphlet in supporting women's decision making. A cluster randomised controlled trial. Primary health care. Women in early pregnancy consulting a GP. GPs were randomised to provide women with either a decision aid or a pamphlet. The decision aid was a 24-page booklet designed using the Ottowa Decision Framework. The pamphlet was an existing resource available in the trial setting. Validated scales were used to measure the primary outcomes, informed choice and decisional conflict, and the secondary outcomes, anxiety, depression, attitudes to the pregnancy/fetus and acceptability of the resource. Outcomes were measured at 14 weeks of gestation from questionnaires that women completed and returned by post. Women in the intervention group were more likely to make an informed decision 76% (126/165) than those in the control group 65% (107/165) (adjusted OR 2.08; 95% CI 1.14-3.81). A greater proportion of women in the intervention group 88% (147/167) had a 'good' level of knowledge than those in the control group 72% (123/171) (adjusted OR 3.43; 95% CI 1.79-6.58). Mean (SD) decisional conflict scores were low in both groups, decision aid 1.71 (0.49), pamphlet 1.65 (0.55) (adjusted mean difference 0.10; 95% CI -0.02 to 0.22). There was no strong evidence of differences between the trial arms in the measures of psychological or acceptability outcomes. A tailored prenatal testing decision aid plays an important role in improving women's knowledge of first and second trimester screening tests and assisting them to make decisions about screening and diagnostic tests that are consistent with their values.

The Call for Data-Driven Decision Making in the Midwest's Schools: NCREL's Response.

ERIC Educational Resources Information Center

Cromey, Allison; van der Ploeg, Arie; Masini, Blase

This report describes the efforts of the North Central Regional Educational Laboratory (NCREL) during the last several years to respond to direct requests from educational stakeholders to help integrate data into their decision-making processes related to school improvement. In some cases, NCREL cooperated in the development of educational…

The Politics of Information: Building a Relational Database To Support Decision-Making at a Public University.

ERIC Educational Resources Information Center

Friedman, Debra; Hoffman, Phillip

2001-01-01

Describes creation of a relational database at the University of Washington supporting ongoing academic planning at several levels and affecting the culture of decision making. Addresses getting started; sharing the database; questions, worries, and issues; improving access to high-demand courses; the advising function; management of instructional…

Evaluation Utilization by Leaders in Student Affairs Units

ERIC Educational Resources Information Center

Calvert, Jennifer Joy

2011-01-01

While strong evidence exists that the use of data in decision-making is critical for quality improvement and effective student outcomes at the university, institutions of higher education are not using the data from assessments to inform their decision-making processes. The disconnect between what current research describes as the effective use of…

Building the Foundation for Data-Based Decision Making: Creating Consensus on Language and Concepts

ERIC Educational Resources Information Center

Crum, Karen

2009-01-01

Data Based Decision Making (DBDM), the process of gathering, analyzing, applying, and sharing data in order to promote school improvement, has recently become a prominent process in the quest to assist students in attaining educational success and helping schools meet accountability benchmarks (Wayman, 2005; Poynton & Carey, 2006). This…

Faculty Participation in Academic Decision Making. Report of a Study.

ERIC Educational Resources Information Center

Dykes, Archie R.

Personal interviews with a random sample of 106 faculty members of a large midwestern university dealt with the role of faculty in decision making on academic, financial, and student affairs, personnel matters, capital improvements, and public and alumni relations. While the faculty members interviewed indicated that faculty should have a strong,…

Making a Quick Call: Compressing Future Military Decision Cycles with Improved Processes and Technology

DTIC Science & Technology

2002-05-16

which could actually increase the decision-making capacity of a military leader. In a recent article entitled, “The Coming of the Cyborgs ,” the...Coming of the Cyborgs ,” Fantasy & Science Fiction, January 2002, 107. 13 through the extensive reading of history and the rigorous conduct of

A Curriculum For Choosing.

ERIC Educational Resources Information Center

Winocur, S. Lee

This guide addresses the problem of decision-making in young children and the effect of a particular curriculum on the improvement of children's ability in this area. The term and the process of decision-making are defined, and career implications are discussed. The last section of the guide outlines a program designed to help teachers assist…

Research Report: Schools as Effective Data Users

ERIC Educational Resources Information Center

Protheroe, Nancy

2010-01-01

Data use and decision-making--these two phrases have appeared together in probably hundreds of education articles and have been the topic of a host of presentations during the past decade. In addition, research studies have confirmed the importance of data-informed decision-making to school improvement. Thus, school leaders have found it makes…

Change, Leadership, and Decision Making in Improving Secondary Schools.

ERIC Educational Resources Information Center

Lipham, James M.; Rankin, Robb E.

The findings of 13 studies of educational change, leadership, and decision-making are summarized in this report. Conducted by the staff of the Project on Administration and Organization for Instruction at the University of Wisconsin Center for Education Research, the studies utilized data gathered in over 100 middle, junior, and senior high…

Education and Training in Ethical Decision Making: Comparing Context and Orientation

ERIC Educational Resources Information Center

Perri, David F.; Callanan, Gerard A.; Rotenberry, Paul F.; Oehlers, Peter F.

2009-01-01

Purpose: The purpose of this paper is to present a teaching methodology for improving the understanding of ethical decision making. This pedagogical approach is applicable in college courses and in corporate training programs. Design/methodology/approach: Participants are asked to analyze a set of eight ethical dilemmas with differing situational…

Knowing Better: Improving Collective Decision Making in Higher Education Shared Governance

ERIC Educational Resources Information Center

Manick, Christopher J. D.

2016-01-01

This dissertation addresses the question: Should higher education governance and decision-making be an elite or collective responsibility? It brings into conversation (i) the debate over the future of shared (i.e. participatory, faculty) governance in higher education, and (ii) research in democratic theory, specifically the epistemic defense of…

Software Enabling School Improvement through Analysis of Student Data. Report Number 67

ERIC Educational Resources Information Center

Wayman, Jeffrey C.; Stringfield, Sam; Yakimowski, Mary

2004-01-01

The No Child Left Behind legislation has drawn increased attention to student data. Data are most useful in educational decision-making when the purpose extends beyond vertical accountability and toward school- and classroom-level decision-making that enhances the experience and achievement of students. This necessarily involves getting practical…

Dual Processes in Decision Making and Developmental Neuroscience: A Fuzzy-Trace Model.

PubMed

Reyna, Valerie F; Brainerd, Charles J

2011-09-01

From Piaget to the present, traditional and dual-process theories have predicted improvement in reasoning from childhood to adulthood, and improvement has been observed. However, developmental reversals-that reasoning biases emerge with development -have also been observed in a growing list of paradigms. We explain how fuzzy-trace theory predicts both improvement and developmental reversals in reasoning and decision making. Drawing on research on logical and quantitative reasoning, as well as on risky decision making in the laboratory and in life, we illustrate how the same small set of theoretical principles apply to typical neurodevelopment, encompassing childhood, adolescence, and adulthood, and to neurological conditions such as autism and Alzheimer's disease. For example, framing effects-that risk preferences shift when the same decisions are phrases in terms of gains versus losses-emerge in early adolescence as gist-based intuition develops. In autistic individuals, who rely less on gist-based intuition and more on verbatim-based analysis, framing biases are attenuated (i.e., they outperform typically developing control subjects). In adults, simple manipulations based on fuzzy-trace theory can make framing effects appear and disappear depending on whether gist-based intuition or verbatim-based analysis is induced. These theoretical principles are summarized and integrated in a new mathematical model that specifies how dual modes of reasoning combine to produce predictable variability in performance. In particular, we show how the most popular and extensively studied model of decision making-prospect theory-can be derived from fuzzy-trace theory by combining analytical (verbatim-based) and intuitive (gist-based) processes.

Prostate Cancer Ambassadors: Process and Outcomes of a Prostate Cancer Informed Decision-Making Training Program.

PubMed

Vines, Anissa I; Hunter, Jaimie C; Carlisle, Veronica A; Richmond, Alan N

2016-04-19

African American men bear a higher burden of prostate cancer than Caucasian men, but knowledge about how to make an informed decision about prostate cancer screening is limited. A lay health advisor model was used to train "Prostate Cancer Ambassadors" on prostate cancer risk and symptoms, how to make an informed decision for prostate-specific antigen screening, and how to deliver the information to members of their community. Training consisted of two, 6-hour interactive sessions and was implemented in three predominantly African American communities over an 8-month period between 2013 and 2014. Following training, Ambassadors committed to contacting at least 10 people within 3 months using a toolkit composed of wallet-sized informational cards for distribution, a slide presentation, and a flip chart. Thirty-two Ambassadors were trained, with more than half being females (59%) and half reporting a family history of prostate cancer. Prostate cancer knowledge improved significantly among Ambassadors (p≤ .0001). Self-efficacy improved significantly for performing outreach tasks (p< .0001), and among women in helping a loved one with making an informed decision (p= .005). There was also an improvement in collective efficacy in team members (p= .0003). Twenty-nine of the Ambassadors fulfilled their commitment to reach at least 10 people (average number of contacts per Ambassador was 11). In total, 355 individuals were reached with the prostate cancer information. The Ambassador training program proved successful in training Ambassadors to reach communities about prostate cancer and how to make an informed decision about screening. © The Author(s) 2016.

Dysfunctional decision-making in pathological gambling: pattern specificity and the role of impulsivity.

PubMed

Kräplin, Anja; Dshemuchadse, Maja; Behrendt, Silke; Scherbaum, Stefan; Goschke, Thomas; Bühringer, Gerhard

2014-03-30

Dysfunctional decision-making in individuals with pathological gambling (PGs) may result from dominating reward-driven processes, indicated by higher impulsivity. In the current study we examined (1) if PGs show specific decision-making impairments related to dominating reward-driven processes rather than to strategic planning deficits and (2) whether these impairments are related to impulsivity. Nineteen PGs according to DSM-IV and 19 matched control subjects undertook the Cambridge Gambling Task (CGT) to assess decision-making. The delay discounting paradigm (DDP) as well as the UPPS Impulsive Behavior Scale (measuring urgency, premeditation, perseverance and sensation seeking) were administered as multidimensional measures of impulsivity. Results revealed that (1) PGs exhibited higher risk seeking and an immediate reward focus in the CGT and, in contrast, comparable strategic planning to the control group. (2) Decision-making impairments were related to more severe delay discounting and, specifically, to increased urgency and less premeditation. Our findings suggest (1) the necessity to disentangle decision-making components in order to improve etiological models of PGs, and (2) that urgency and premeditation are specifically related to disadvantageous decision-making and should be tackled in intervention strategies focusing on emotion tolerance and control strategies. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Neural reactivation links unconscious thought to decision-making performance.

PubMed

Creswell, John David; Bursley, James K; Satpute, Ajay B

2013-12-01

Brief periods of unconscious thought (UT) have been shown to improve decision making compared with making an immediate decision (ID). We reveal a neural mechanism for UT in decision making using blood oxygen level-dependent (BOLD) functional magnetic resonance imaging. Participants (N = 33) encoded information on a set of consumer products (e.g. 48 attributes describing four different cars), and we manipulated whether participants (i) consciously thought about this information (conscious thought), (ii) completed a difficult 2-back working memory task (UT) or (iii) made an immediate decision about the consumer products (ID) in a within-subjects blocked design. To differentiate UT neural activity from 2-back working memory neural activity, participants completed an independent 2-back task and this neural activity was subtracted from neural activity occurring during the UT 2-back task. Consistent with a neural reactivation account, we found that the same regions activated during the encoding of complex decision information (right dorsolateral prefrontal cortex and left intermediate visual cortex) continued to be activated during a subsequent 2-min UT period. Moreover, neural reactivation in these regions was predictive of subsequent behavioral decision-making performance after the UT period. These results provide initial evidence for post-encoding unconscious neural reactivation in facilitating decision making.

Neural reactivation links unconscious thought to decision-making performance

PubMed Central

Bursley, James K.; Satpute, Ajay B.

2013-01-01

Brief periods of unconscious thought (UT) have been shown to improve decision making compared with making an immediate decision (ID). We reveal a neural mechanism for UT in decision making using blood oxygen level-dependent (BOLD) functional magnetic resonance imaging. Participants (N = 33) encoded information on a set of consumer products (e.g. 48 attributes describing four different cars), and we manipulated whether participants (i) consciously thought about this information (conscious thought), (ii) completed a difficult 2-back working memory task (UT) or (iii) made an immediate decision about the consumer products (ID) in a within-subjects blocked design. To differentiate UT neural activity from 2-back working memory neural activity, participants completed an independent 2-back task and this neural activity was subtracted from neural activity occurring during the UT 2-back task. Consistent with a neural reactivation account, we found that the same regions activated during the encoding of complex decision information (right dorsolateral prefrontal cortex and left intermediate visual cortex) continued to be activated during a subsequent 2-min UT period. Moreover, neural reactivation in these regions was predictive of subsequent behavioral decision-making performance after the UT period. These results provide initial evidence for post-encoding unconscious neural reactivation in facilitating decision making. PMID:23314012

Development of a decision aid for energy resource management for the Navajo Nation incorporating environmental cultural values

NASA Astrophysics Data System (ADS)

Necefer, Len Edward

Decision-making surrounding pathways of future energy resource management are complexity and requires balancing tradeoffs of multiple environmental, social, economic, and technical outcomes. Technical decision aid can provide a framework for informed decision making, allowing individuals to better understand the tradeoff between resources, technology, energy services, and prices. While technical decision aid have made significant advances in evaluating these quantitative aspects of energy planning and performance, they have not been designed to incorporate human factors, such as preferences and behavior that are informed by cultural values. Incorporating cultural values into decision tools can provide not only an improved decision framework for the Navajo Nation, but also generate new insights on how these perspective can improve decision making on energy resources. Ensuring these aids are a cultural fit for each context has the potential to increase trust and promote understanding of the tradeoffs involved in energy resource management. In this dissertation I present the development of a technical tool that explicitly addresses cultural and spiritual values and experimentally assesses their influence on the preferences and decision making of Navajo citizens. Chapter 2 describes the results of a public elicitation effort to gather information about stakeholder views and concerns related to energy development in the Navajo Nation in order to develop a larger sample survey and a decision-support tool that links techno-economic energy models with sociocultural attributes. Chapter 3 details the methods of developing the energy decision aid and its underlying assumptions for alternative energy projects and their impacts. This tool also provides an alternative to economic valuation of cultural impacts based upon an ordinal index tied to environmental impacts. Chapter 4 details the the influence of various cultural, environmental, and economic outcome information provided through the developed decision aid on beliefs and preferences related to the type and scale of energy development, trust of decision makers, and larger concern for environmental protection. Finally, chapter 5 presents concluding thoughts future research and on how technical-social decision tools can provide a means ensuring effective decision making on the Navajo Nation and other American Indian communities.

Many faces of rationality: Implications of the great rationality debate for clinical decision‐making

PubMed Central

Elqayam, Shira

2017-01-01

Abstract Given that more than 30% of healthcare costs are wasted on inappropriate care, suboptimal care is increasingly connected to the quality of medical decisions. It has been argued that personal decisions are the leading cause of death, and 80% of healthcare expenditures result from physicians' decisions. Therefore, improving healthcare necessitates improving medical decisions, ie, making decisions (more) rational. Drawing on writings from The Great Rationality Debate from the fields of philosophy, economics, and psychology, we identify core ingredients of rationality commonly encountered across various theoretical models. Rationality is typically classified under umbrella of normative (addressing the question how people “should” or “ought to” make their decisions) and descriptive theories of decision‐making (which portray how people actually make their decisions). Normative theories of rational thought of relevance to medicine include epistemic theories that direct practice of evidence‐based medicine and expected utility theory, which provides the basis for widely used clinical decision analyses. Descriptive theories of rationality of direct relevance to medical decision‐making include bounded rationality, argumentative theory of reasoning, adaptive rationality, dual processing model of rationality, regret‐based rationality, pragmatic/substantive rationality, and meta‐rationality. For the first time, we provide a review of wide range of theories and models of rationality. We showed that what is “rational” behaviour under one rationality theory may be irrational under the other theory. We also showed that context is of paramount importance to rationality and that no one model of rationality can possibly fit all contexts. We suggest that in context‐poor situations, such as policy decision‐making, normative theories based on expected utility informed by best research evidence may provide the optimal approach to medical decision‐making, whereas in the context‐rich circumstances other types of rationality, informed by human cognitive architecture and driven by intuition and emotions such as the aim to minimize regret, may provide better solution to the problem at hand. The choice of theory under which we operate is important as it determines both policy and our individual decision‐making. PMID:28730671

The Effect of Using Socio-Scientific Issues Approach in Teaching Environmental Issues on Improving the Students' Ability of Making Appropriate Decisions towards These Issues

ERIC Educational Resources Information Center

Zo'bi, Abdallah Salim

2014-01-01

This study aimed to identify nature of students' decisions patterns towards environmental issues and the possibility to improve these decisions during teaching process using Socio-Scientific Issues Approach. And to achieve this, the researcher prepared and developed tools of the study represented by a test of open questions focused on…

Counselors and Principals: Collaborating to Improve Instructional Equity

ERIC Educational Resources Information Center

Lashley, Carl A.; Stickl, Jaimie

2016-01-01

Data utilization is a key component of school improvement as data can be used to enhance student achievement both systematically and on an individual student level. Through systemically analyzing multiple sources of data, educators can make informed and knowledgeable school improvement decisions. In order to effectively make data-drive decisions…

Conflicts of interest improve collective computation of adaptive social structures

PubMed Central

Brush, Eleanor R.; Krakauer, David C.; Flack, Jessica C.

2018-01-01

In many biological systems, the functional behavior of a group is collectively computed by the system’s individual components. An example is the brain’s ability to make decisions via the activity of billions of neurons. A long-standing puzzle is how the components’ decisions combine to produce beneficial group-level outputs, despite conflicts of interest and imperfect information. We derive a theoretical model of collective computation from mechanistic first principles, using results from previous work on the computation of power structure in a primate model system. Collective computation has two phases: an information accumulation phase, in which (in this study) pairs of individuals gather information about their fighting abilities and make decisions about their dominance relationships, and an information aggregation phase, in which these decisions are combined to produce a collective computation. To model information accumulation, we extend a stochastic decision-making model—the leaky integrator model used to study neural decision-making—to a multiagent game-theoretic framework. We then test alternative algorithms for aggregating information—in this study, decisions about dominance resulting from the stochastic model—and measure the mutual information between the resultant power structure and the “true” fighting abilities. We find that conflicts of interest can improve accuracy to the benefit of all agents. We also find that the computation can be tuned to produce different power structures by changing the cost of waiting for a decision. The successful application of a similar stochastic decision-making model in neural and social contexts suggests general principles of collective computation across substrates and scales. PMID:29376116

Strengthening forensic DNA decision making through a better understanding of the influence of cognitive bias.

PubMed

Jeanguenat, Amy M; Budowle, Bruce; Dror, Itiel E

2017-11-01

Cognitive bias may influence process flows and decision making steps in forensic DNA analyses and interpretation. Currently, seven sources of bias have been identified that may affect forensic decision making with roots in human nature; environment, culture, and experience; and case specific information. Most of the literature and research on cognitive bias in forensic science has focused on patterned evidence; however, forensic DNA testing is not immune to bias, especially when subjective interpretation is involved. DNA testing can be strengthened by recognizing the existence of bias, evaluating where it influences decision making, and, when applicable, implementing practices to reduce or control its effects. Elements that may improve forensic decision making regarding bias include cognitively informed education and training, quality assurance procedures, review processes, analysis and interpretation, and context management of irrelevant information. Although bias exists, reliable results often can be (and have been) produced. However, at times bias can (and has) impacted the interpretation of DNA results negatively. Therefore, being aware of the dangers of bias and implementing measures to control its potential impact should be considered. Measures and procedures that handicap the workings of the crime laboratory or add little value to improving the operation are not advocated, but simple yet effective measures are suggested. This article is meant to raise awareness of cognitive bias contamination in forensic DNA testing and to give laboratories possible pathways to make sound decisions to address its influences. Copyright © 2017 The Chartered Society of Forensic Sciences. Published by Elsevier B.V. All rights reserved.

Controlling Chronic Diseases Through Evidence-Based Decision Making: A Group-Randomized Trial.

PubMed

Brownson, Ross C; Allen, Peg; Jacob, Rebekah R; deRuyter, Anna; Lakshman, Meenakshi; Reis, Rodrigo S; Yan, Yan

2017-11-30

Although practitioners in state health departments are ideally positioned to implement evidence-based interventions, few studies have examined how to build their capacity to do so. The objective of this study was to explore how to increase the use of evidence-based decision-making processes at both the individual and organization levels. We conducted a 2-arm, group-randomized trial with baseline data collection and follow-up at 18 to 24 months. Twelve state health departments were paired and randomly assigned to intervention or control condition. In the 6 intervention states, a multiday training on evidence-based decision making was conducted from March 2014 through March 2015 along with a set of supplemental capacity-building activities. Individual-level outcomes were evidence-based decision making skills of public health practitioners; organization-level outcomes were access to research evidence and participatory decision making. Mixed analysis of covariance models was used to evaluate the intervention effect by accounting for the cluster randomized trial design. Analysis was performed from March through May 2017. Participation 18 to 24 months after initial training was 73.5%. In mixed models adjusted for participant and state characteristics, the intervention group improved significantly in the overall skill gap (P = .01) and in 6 skill areas. Among the 4 organizational variables, only access to evidence and skilled staff showed an intervention effect (P = .04). Tailored and active strategies are needed to build capacity at the individual and organization levels for evidence-based decision making. Our study suggests several dissemination interventions for consideration by leaders seeking to improve public health practice.

Development of a video-based education and process change intervention to improve advance cardiopulmonary resuscitation decision-making.

PubMed

Waldron, Nicholas; Johnson, Claire E; Saul, Peter; Waldron, Heidi; Chong, Jeffrey C; Hill, Anne-Marie; Hayes, Barbara

2016-10-06

Advance cardiopulmonary resuscitation (CPR) decision-making and escalation of care discussions are variable in routine clinical practice. We aimed to explore physician barriers to advance CPR decision-making in an inpatient hospital setting and develop a pragmatic intervention to support clinicians to undertake and document routine advance care planning discussions. Two focus groups, which involved eight consultants and ten junior doctors, were conducted following a review of the current literature. A subsequent iterative consensus process developed two intervention elements: (i) an updated 'Goals of Patient Care' (GOPC) form and process; (ii) an education video and resources for teaching advance CPR decision-making and communication. A multidisciplinary group of health professionals and policy-makers with experience in systems development, education and research provided critical feedback. Three key themes emerged from the focus groups and the literature, which identified a structure for the intervention: (i) knowing what to say; (ii) knowing how to say it; (iii) wanting to say it. The themes informed the development of a video to provide education about advance CPR decision-making framework, improving communication and contextualising relevant clinical issues. Critical feedback assisted in refining the video and further guided development and evolution of a medical GOPC approach to discussing and recording medical treatment and advance care plans. Through an iterative process of consultation and review, video-based education and an expanded GOPC form and approach were developed to address physician and systemic barriers to advance CPR decision-making and documentation. Implementation and evaluation across hospital settings is required to examine utility and determine effect on quality of care.

Lithium might be associated with better decision-making performance in euthymic bipolar patients.

PubMed

Adida, Marc; Jollant, Fabrice; Clark, Luke; Guillaume, Sebastien; Goodwin, Guy M; Azorin, Jean-Michel; Courtet, Philippe

2015-06-01

Bipolar disorder is associated with impaired decision-making. Little is known about how treatment, especially lithium, influences decision-making abilities in bipolar patients when euthymic. We aimed at testing for an association between lithium medication and decision-making performance in remitted bipolar patients. Decision-making was measured using the Iowa Gambling Task in 3 groups of subjects: 34 and 56 euthymic outpatients with bipolar disorder, treated with lithium (monotherapy and lithium combined with anticonvulsant or antipsychotic) and without lithium (anticonvulsant, antipsychotic and combination treatment), respectively, and 152 matched healthy controls. Performance was compared between the 3 groups. In the 90 euthymic patients, the relationship between different sociodemographic and clinical variables and decision-making was assessed by stepwise multivariate regression analysis. Euthymic patients with lithium (p=0.007) and healthy controls (p=0.001) selected significantly more cards from the safe decks than euthymic patients without lithium, with no significant difference between euthymic patients with lithium and healthy controls (p=0.9). In the 90 euthymic patients, the stepwise linear multivariate regression revealed that decision-making was significantly predicted (p<0.001) by lithium dose, level of education and no family history of bipolar disorder (all p≤0.01). Because medication was not randomized, it was not possible to discriminate the effect of different medications. Lithium medication might be associated with better decision-making in remitted bipolar patients. A randomized trial is required to test for the hypothesis that lithium, but not other mood stabilizers, may specifically improve decision-making abilities in bipolar disorder. Copyright © 2015 Elsevier B.V. and ECNP. All rights reserved.

Clinical use of patient decision-making aids for stone patients.

PubMed

Lim, Amy H; Streeper, Necole M; Best, Sara L; Penniston, Kristina L; Nakada, Stephen Y

2017-08-01

Patient decision-making aids (PDMAs) help patients make informed healthcare decisions and improve patient satisfaction. The utility of PDMAs for patients considering treatments for urolithiasis has not yet been published. We report our experience using PDMAs developed at our institution in the outpatient clinical setting in patients considering a variety of treatment options for stones. Patients with radiographically confirmed urolithiasis were given PDMAs regarding treatment options for their stone(s) based on their clinical profile. We assessed patients' satisfaction, involvedness, and feeling of making a more informed decision with utilization of the PDMAs using a Likert Scale Questionnaire. Information was also collected regarding previous stone passage, history and type of surgical intervention for urolithiasis, and level of education. Patients (n = 43; 18 males, 23 females and two unknown) 53 +/- 14years old were included. Patients reported that they understood the advantages and disadvantages outlined in the PDMAs (97%), that the PDMAs helped them make a more informed decision (83%) and felt more involved in the decision making process (88%). Patients reported that the aids were presented in a balanced manner and used up-to-date scientific information (100%, 84% respectively). Finally, a majority of the patients prefer an expert's opinion when making a treatment decision (98%) with 73% of patients preferring to form their own opinion based on available information. Previous stone surgery was associated with patients feeling more involved with the decision making process (p = 0.0465). PDMAs have a promising role in shared decision-making in the setting of treatment options for nephrolithiasis.

Deliberation before determination: the definition and evaluation of good decision making.

PubMed

Elwyn, Glyn; Miron-Shatz, Talya

2010-06-01

In this article, we examine definitions of suggested approaches to measure the concept of good decisions, highlight the ways in which they converge, and explain why we have concerns about their emphasis on post-hoc estimations and post-decisional outcomes, their prescriptive concept of knowledge, and their lack of distinction between the process of deliberation, and the act of decision determination. There has been a steady trend to involve patients in decision making tasks in clinical practice, part of a shift away from paternalism towards the concept of informed choice. An increased understanding of the uncertainties that exist in medicine, arising from a weak evidence base and, in addition, the stochastic nature of outcomes at the individual level, have contributed to shifting the responsibility for decision making from physicians to patients. This led to increasing use of decision support and communication methods, with the ultimate aim of improving decision making by patients. Interest has therefore developed in attempting to define good decision making and in the development of measurement approaches. We pose and reflect whether decisions can be judged good or not, and, if so, how this goodness might be evaluated. We hypothesize that decisions cannot be measured by reference to their outcomes and offer an alternative means of assessment, which emphasizes the deliberation process rather than the decision's end results. We propose decision making comprises a pre-decisional process and an act of decision determination and consider how this model of decision making serves to develop a new approach to evaluating what constitutes a good decision making process. We proceed to offer an alternative, which parses decisions into the pre-decisional deliberation process, the act of determination and post-decisional outcomes. Evaluating the deliberation process, we propose, should comprise of a subjective sufficiency of knowledge, as well as emotional processing and affective forecasting of the alternatives. This should form the basis for a good act of determination.

Use of handheld computers in clinical practice: a systematic review.

PubMed

Mickan, Sharon; Atherton, Helen; Roberts, Nia Wyn; Heneghan, Carl; Tilson, Julie K

2014-07-06

Many healthcare professionals use smartphones and tablets to inform patient care. Contemporary research suggests that handheld computers may support aspects of clinical diagnosis and management. This systematic review was designed to synthesise high quality evidence to answer the question; Does healthcare professionals' use of handheld computers improve their access to information and support clinical decision making at the point of care? A detailed search was conducted using Cochrane, MEDLINE, EMBASE, PsycINFO, Science and Social Science Citation Indices since 2001. Interventions promoting healthcare professionals seeking information or making clinical decisions using handheld computers were included. Classroom learning and the use of laptop computers were excluded. Two authors independently selected studies, assessed quality using the Cochrane Risk of Bias tool and extracted data. High levels of data heterogeneity negated statistical synthesis. Instead, evidence for effectiveness was summarised narratively, according to each study's aim for assessing the impact of handheld computer use. We included seven randomised trials investigating medical or nursing staffs' use of Personal Digital Assistants. Effectiveness was demonstrated across three distinct functions that emerged from the data: accessing information for clinical knowledge, adherence to guidelines and diagnostic decision making. When healthcare professionals used handheld computers to access clinical information, their knowledge improved significantly more than peers who used paper resources. When clinical guideline recommendations were presented on handheld computers, clinicians made significantly safer prescribing decisions and adhered more closely to recommendations than peers using paper resources. Finally, healthcare professionals made significantly more appropriate diagnostic decisions using clinical decision making tools on handheld computers compared to colleagues who did not have access to these tools. For these clinical decisions, the numbers need to test/screen were all less than 11. Healthcare professionals' use of handheld computers may improve their information seeking, adherence to guidelines and clinical decision making. Handheld computers can provide real time access to and analysis of clinical information. The integration of clinical decision support systems within handheld computers offers clinicians the highest level of synthesised evidence at the point of care. Future research is needed to replicate these early results and to identify beneficial clinical outcomes.

Use of handheld computers in clinical practice: a systematic review

PubMed Central

2014-01-01

Background Many healthcare professionals use smartphones and tablets to inform patient care. Contemporary research suggests that handheld computers may support aspects of clinical diagnosis and management. This systematic review was designed to synthesise high quality evidence to answer the question; Does healthcare professionals’ use of handheld computers improve their access to information and support clinical decision making at the point of care? Methods A detailed search was conducted using Cochrane, MEDLINE, EMBASE, PsycINFO, Science and Social Science Citation Indices since 2001. Interventions promoting healthcare professionals seeking information or making clinical decisions using handheld computers were included. Classroom learning and the use of laptop computers were excluded. Two authors independently selected studies, assessed quality using the Cochrane Risk of Bias tool and extracted data. High levels of data heterogeneity negated statistical synthesis. Instead, evidence for effectiveness was summarised narratively, according to each study’s aim for assessing the impact of handheld computer use. Results We included seven randomised trials investigating medical or nursing staffs’ use of Personal Digital Assistants. Effectiveness was demonstrated across three distinct functions that emerged from the data: accessing information for clinical knowledge, adherence to guidelines and diagnostic decision making. When healthcare professionals used handheld computers to access clinical information, their knowledge improved significantly more than peers who used paper resources. When clinical guideline recommendations were presented on handheld computers, clinicians made significantly safer prescribing decisions and adhered more closely to recommendations than peers using paper resources. Finally, healthcare professionals made significantly more appropriate diagnostic decisions using clinical decision making tools on handheld computers compared to colleagues who did not have access to these tools. For these clinical decisions, the numbers need to test/screen were all less than 11. Conclusion Healthcare professionals’ use of handheld computers may improve their information seeking, adherence to guidelines and clinical decision making. Handheld computers can provide real time access to and analysis of clinical information. The integration of clinical decision support systems within handheld computers offers clinicians the highest level of synthesised evidence at the point of care. Future research is needed to replicate these early results and to identify beneficial clinical outcomes. PMID:24998515

Patchy 'coherence': using normalization process theory to evaluate a multi-faceted shared decision making implementation program (MAGIC).

PubMed

Lloyd, Amy; Joseph-Williams, Natalie; Edwards, Adrian; Rix, Andrew; Elwyn, Glyn

2013-09-05

Implementing shared decision making into routine practice is proving difficult, despite considerable interest from policy-makers, and is far more complex than merely making decision support interventions available to patients. Few have reported successful implementation beyond research studies. MAking Good Decisions In Collaboration (MAGIC) is a multi-faceted implementation program, commissioned by The Health Foundation (UK), to examine how best to put shared decision making into routine practice. In this paper, we investigate healthcare professionals' perspectives on implementing shared decision making during the MAGIC program, to examine the work required to implement shared decision making and to inform future efforts. The MAGIC program approached implementation of shared decision making by initiating a range of interventions including: providing workshops; facilitating development of brief decision support tools (Option Grids); initiating a patient activation campaign ('Ask 3 Questions'); gathering feedback using Decision Quality Measures; providing clinical leads meetings, learning events, and feedback sessions; and obtaining executive board level support. At 9 and 15 months (May and November 2011), two rounds of semi-structured interviews were conducted with healthcare professionals in three secondary care teams to explore views on the impact of these interventions. Interview data were coded by two reviewers using a framework derived from the Normalization Process Theory. A total of 54 interviews were completed with 31 healthcare professionals. Partial implementation of shared decision making could be explained using the four components of the Normalization Process Theory: 'coherence,' 'cognitive participation,' 'collective action,' and 'reflexive monitoring.' Shared decision making was integrated into routine practice when clinical teams shared coherent views of role and purpose ('coherence'). Shared decision making was facilitated when teams engaged in developing and delivering interventions ('cognitive participation'), and when those interventions fit with existing skill sets and organizational priorities ('collective action') resulting in demonstrable improvements to practice ('reflexive monitoring'). The implementation process uncovered diverse and conflicting attitudes toward shared decision making; 'coherence' was often missing. The study showed that implementation of shared decision making is more complex than the delivery of patient decision support interventions to patients, a portrayal that often goes unquestioned. Normalizing shared decision making requires intensive work to ensure teams have a shared understanding of the purpose of involving patients in decisions, and undergo the attitudinal shifts that many health professionals feel are required when comprehension goes beyond initial interpretations. Divergent views on the value of engaging patients in decisions remain a significant barrier to implementation.

Patchy ‘coherence’: using normalization process theory to evaluate a multi-faceted shared decision making implementation program (MAGIC)

PubMed Central

2013-01-01

Background Implementing shared decision making into routine practice is proving difficult, despite considerable interest from policy-makers, and is far more complex than merely making decision support interventions available to patients. Few have reported successful implementation beyond research studies. MAking Good Decisions In Collaboration (MAGIC) is a multi-faceted implementation program, commissioned by The Health Foundation (UK), to examine how best to put shared decision making into routine practice. In this paper, we investigate healthcare professionals’ perspectives on implementing shared decision making during the MAGIC program, to examine the work required to implement shared decision making and to inform future efforts. Methods The MAGIC program approached implementation of shared decision making by initiating a range of interventions including: providing workshops; facilitating development of brief decision support tools (Option Grids); initiating a patient activation campaign (‘Ask 3 Questions’); gathering feedback using Decision Quality Measures; providing clinical leads meetings, learning events, and feedback sessions; and obtaining executive board level support. At 9 and 15 months (May and November 2011), two rounds of semi-structured interviews were conducted with healthcare professionals in three secondary care teams to explore views on the impact of these interventions. Interview data were coded by two reviewers using a framework derived from the Normalization Process Theory. Results A total of 54 interviews were completed with 31 healthcare professionals. Partial implementation of shared decision making could be explained using the four components of the Normalization Process Theory: ‘coherence,’ ‘cognitive participation,’ ‘collective action,’ and ‘reflexive monitoring.’ Shared decision making was integrated into routine practice when clinical teams shared coherent views of role and purpose (‘coherence’). Shared decision making was facilitated when teams engaged in developing and delivering interventions (‘cognitive participation’), and when those interventions fit with existing skill sets and organizational priorities (‘collective action’) resulting in demonstrable improvements to practice (‘reflexive monitoring’). The implementation process uncovered diverse and conflicting attitudes toward shared decision making; ‘coherence’ was often missing. Conclusions The study showed that implementation of shared decision making is more complex than the delivery of patient decision support interventions to patients, a portrayal that often goes unquestioned. Normalizing shared decision making requires intensive work to ensure teams have a shared understanding of the purpose of involving patients in decisions, and undergo the attitudinal shifts that many health professionals feel are required when comprehension goes beyond initial interpretations. Divergent views on the value of engaging patients in decisions remain a significant barrier to implementation. PMID:24006959

A decision technology system for health care electronic commerce.

PubMed

Forgionne, G A; Gangopadhyay, A; Klein, J A; Eckhardt, R

1999-08-01

Mounting costs have escalated the pressure on health care providers and payers to improve decision making and control expenses. Transactions to form the needed decision data will routinely flow, often electronically, between the affected parties. Conventional health care information systems facilitate flow, process transactions, and generate useful decision information. Typically, such support is offered through a series of stand-alone systems that lose much useful decision knowledge and wisdom during health care electronic commerce (e-commerce). Integrating the stand-alone functions can enhance the quality and efficiency of the segmented support, create synergistic effects, and augment decision-making performance and value for both providers and payers. This article presents an information system that can provide complete and integrated support for e-commerce-based health care decision making. The article describes health care e-commerce, presents the system, examines the system's potential use and benefits, and draws implications for health care management and practice.

The effect of small-sided games with different levels of opposition on the tactical behaviour of young footballers with different levels of sport expertise.

PubMed

Práxedes, Alba; Moreno, Alberto; Gil-Arias, Alexander; Claver, Fernando; Del Villar, Fernando

2018-01-01

To optimize players' tactical abilities, coaches need to design training sessions with representative learning tasks, such as, small-sided games. Moreover, it is necessary to adapt the complexity of the tasks to the skill level of the athletes to maximally improve their perceptual, visual and attentive abilities. The objective of this study was to analyze the effect of two teaching programs, each utilizing modified games with varied levels of opposition, on decision-making and action execution in young players with different levels of sports expertise. 19 football players (U12), separated into two ability groups (Average versus Low skill-level), participated in a series of training sessions that were spread over 4 phases: Pre-intervention 1, Intervention 1 (teaching program based on modified games with numerical superiority in attack), Pre-intervention 2 and Intervention 2 (teaching program based on modified games with numerical equality). Each intervention phase lasted 14 sessions. Decision-making and the execution of pass action during league matches over the same period were evaluated using the Game Performance Evaluation Tool (GPET). The Average skill-level group showed significant differences after the first intervention in decision-making and execution of the pass action (decision-making, p = .015; execution, p = .031), but not after the second intervention (decision-making, p = 1.000; execution, p = 1.000). For the Low skill-level group, significant differences were only observed in the execution of passing between the first and last phases (p = .014). These findings seem to indicate that for groups with an average level of expertise, training with numerical superiority in attack provides players with more time to make better decisions and to better execute actions. However, for lower-level groups programs may take longer to facilitate improvement. Nevertheless, numerical equality did not result in improvement for either group.

From Data to Improved Decisions: Operations Research in Healthcare Delivery.

PubMed

Capan, Muge; Khojandi, Anahita; Denton, Brian T; Williams, Kimberly D; Ayer, Turgay; Chhatwal, Jagpreet; Kurt, Murat; Lobo, Jennifer Mason; Roberts, Mark S; Zaric, Greg; Zhang, Shengfan; Schwartz, J Sanford

2017-11-01

The Operations Research Interest Group (ORIG) within the Society of Medical Decision Making (SMDM) is a multidisciplinary interest group of professionals that specializes in taking an analytical approach to medical decision making and healthcare delivery. ORIG is interested in leveraging mathematical methods associated with the field of Operations Research (OR) to obtain data-driven solutions to complex healthcare problems and encourage collaborations across disciplines. This paper introduces OR for the non-expert and draws attention to opportunities where OR can be utilized to facilitate solutions to healthcare problems. Decision making is the process of choosing between possible solutions to a problem with respect to certain metrics. OR concepts can help systematically improve decision making through efficient modeling techniques while accounting for relevant constraints. Depending on the problem, methods that are part of OR (e.g., linear programming, Markov Decision Processes) or methods that are derived from related fields (e.g., regression from statistics) can be incorporated into the solution approach. This paper highlights the characteristics of different OR methods that have been applied to healthcare decision making and provides examples of emerging research opportunities. We illustrate OR applications in healthcare using previous studies, including diagnosis and treatment of diseases, organ transplants, and patient flow decisions. Further, we provide a selection of emerging areas for utilizing OR. There is a timely need to inform practitioners and policy makers of the benefits of using OR techniques in solving healthcare problems. OR methods can support the development of sustainable long-term solutions across disease management, service delivery, and health policies by optimizing the performance of system elements and analyzing their interaction while considering relevant constraints.

Evaluating the Effects that Existing Instruction on Responsible Conduct of Research Has on Ethical Decision Making

PubMed Central

Antes, Alison L.; Wang, Xiaoqian; Mumford, Michael D.; Brown, Ryan P.; Connelly, Shane; Devenport, Lynn D.

2015-01-01

Purpose To examine the effects that existing courses on the responsible conduct of research (RCR) have on ethical decision making by assessing the ethicality of decisions made in response to ethical problems and the underlying processes involved in ethical decision making. These processes included how an individual thinks through ethical problems (i.e., meta-cognitive reasoning strategies) and the emphasis placed on social dimensions of ethical problems (i.e., social–behavioral responses). Method In 2005–2007, recruitment announcements were made, stating that a nationwide, online study was being conducted to examine the impact of RCR instruction on the ethical decision making of scientists. Recruitment yielded contacts with over 200 RCR faculty at 21 research universities and medical schools; 40 (20%) RCR instructors enrolled their courses in the current study. From those courses, 173 participants completed an ethical decision-making measure. Results A mixed pattern of effects emerged. The ethicality of decisions did not improve as a result of RCR instruction and even decreased for decisions pertaining to business aspects of research, such as contract bidding. Course participants improved on some meta-cognitive reasoning strategies, such as awareness of the situation and consideration of personal motivations, but declined for seeking help and considering others’ perspectives. Participants also increased in their endorsement of detrimental social–behavioral responses, such as deception, retaliation, and avoidance of personal responsibility. Conclusions These findings indicated that RCR instruction may not be as effective as intended, and in fact, may even be harmful. Harmful effects might result if instruction leads students to overstress avoidance of ethical problems, be overconfident in their ability to handle ethical problems, or overemphasize their ethical nature. Future research must examine these and other possible obstacles to effective RCR instruction. PMID:20182131

Evaluating the effects that existing instruction on responsible conduct of research has on ethical decision making.

PubMed

Antes, Alison L; Wang, Xiaoqian; Mumford, Michael D; Brown, Ryan P; Connelly, Shane; Devenport, Lynn D

2010-03-01

To examine the effects that existing courses on the responsible conduct of research (RCR) have on ethical decision making by assessing the ethicality of decisions made in response to ethical problems and the underlying processes involved in ethical decision making. These processes included how an individual thinks through ethical problems (i.e., meta-cognitive reasoning strategies) and the emphasis placed on social dimensions of ethical problems (i.e., social-behavioral responses). In 2005-2007, recruitment announcements were made, stating that a nationwide, online study was being conducted to examine the impact of RCR instruction on the ethical decision making of scientists. Recruitment yielded contacts with over 200 RCR faculty at 21 research universities and medical schools; 40 (20%) RCR instructors enrolled their courses in the current study. From those courses, 173 participants completed an ethical decision-making measure. A mixed pattern of effects emerged. The ethicality of decisions did not improve as a result of RCR instruction and even decreased for decisions pertaining to business aspects of research, such as contract bidding. Course participants improved on some meta-cognitive reasoning strategies, such as awareness of the situation and consideration of personal motivations, but declined for seeking help and considering others' perspectives. Participants also increased their endorsement of detrimental social-behavioral responses, such as deception, retaliation, and avoidance of personal responsibility. These findings indicated that RCR instruction may not be as effective as intended and, in fact, may even be harmful. Harmful effects might result if instruction leads students to overstress avoidance of ethical problems, be overconfident in their ability to handle ethical problems, or overemphasize their ethical nature. Future research must examine these and other possible obstacles to effective RCR instruction.

Improving Health Care Provider Communication in End-of-Life Decision-Making.

PubMed

Wilson, Tracey; Haut, Cathy; Akintade, Bimbola

2017-01-01

Critical care providers are responsible for many aspects of patient care, primarily focusing on preserving life. However, nearly 40% of patients who are admitted to an adult critical care unit will not survive. Initiating a conversation about end-of-life decision-making is a daunting task. Often, health care providers are not trained, experienced, or comfortable facilitating these conversations. This article describes a quality improvement project that identified current views on end-of-life communication in the intensive care unit and potential barriers that obstruct open discussion, and offering strategies for improvement. ©2017 American Association of Critical-Care Nurses.

Dashboard visualizations: Supporting real-time throughput decision-making.

PubMed

Franklin, Amy; Gantela, Swaroop; Shifarraw, Salsawit; Johnson, Todd R; Robinson, David J; King, Brent R; Mehta, Amit M; Maddow, Charles L; Hoot, Nathan R; Nguyen, Vickie; Rubio, Adriana; Zhang, Jiajie; Okafor, Nnaemeka G

2017-07-01

Providing timely and effective care in the emergency department (ED) requires the management of individual patients as well as the flow and demands of the entire department. Strategic changes to work processes, such as adding a flow coordination nurse or a physician in triage, have demonstrated improvements in throughput times. However, such global strategic changes do not address the real-time, often opportunistic workflow decisions of individual clinicians in the ED. We believe that real-time representation of the status of the entire emergency department and each patient within it through information visualizations will better support clinical decision-making in-the-moment and provide for rapid intervention to improve ED flow. This notion is based on previous work where we found that clinicians' workflow decisions were often based on an in-the-moment local perspective, rather than a global perspective. Here, we discuss the challenges of designing and implementing visualizations for ED through a discussion of the development of our prototype Throughput Dashboard and the potential it holds for supporting real-time decision-making. Copyright © 2017. Published by Elsevier Inc.

Predicting species distributions for conservation decisions

PubMed Central

Guisan, Antoine; Tingley, Reid; Baumgartner, John B; Naujokaitis-Lewis, Ilona; Sutcliffe, Patricia R; Tulloch, Ayesha I T; Regan, Tracey J; Brotons, Lluis; McDonald-Madden, Eve; Mantyka-Pringle, Chrystal; Martin, Tara G; Rhodes, Jonathan R; Maggini, Ramona; Setterfield, Samantha A; Elith, Jane; Schwartz, Mark W; Wintle, Brendan A; Broennimann, Olivier; Austin, Mike; Ferrier, Simon; Kearney, Michael R; Possingham, Hugh P; Buckley, Yvonne M

2013-01-01

Species distribution models (SDMs) are increasingly proposed to support conservation decision making. However, evidence of SDMs supporting solutions for on-ground conservation problems is still scarce in the scientific literature. Here, we show that successful examples exist but are still largely hidden in the grey literature, and thus less accessible for analysis and learning. Furthermore, the decision framework within which SDMs are used is rarely made explicit. Using case studies from biological invasions, identification of critical habitats, reserve selection and translocation of endangered species, we propose that SDMs may be tailored to suit a range of decision-making contexts when used within a structured and transparent decision-making process. To construct appropriate SDMs to more effectively guide conservation actions, modellers need to better understand the decision process, and decision makers need to provide feedback to modellers regarding the actual use of SDMs to support conservation decisions. This could be facilitated by individuals or institutions playing the role of ‘translators’ between modellers and decision makers. We encourage species distribution modellers to get involved in real decision-making processes that will benefit from their technical input; this strategy has the potential to better bridge theory and practice, and contribute to improve both scientific knowledge and conservation outcomes. PMID:24134332

Temporal characteristics of the influence of punishment on perceptual decision making in the human brain.

PubMed

Blank, Helen; Biele, Guido; Heekeren, Hauke R; Philiastides, Marios G

2013-02-27

Perceptual decision making is the process by which information from sensory systems is combined and used to influence our behavior. In addition to the sensory input, this process can be affected by other factors, such as reward and punishment for correct and incorrect responses. To investigate the temporal dynamics of how monetary punishment influences perceptual decision making in humans, we collected electroencephalography (EEG) data during a perceptual categorization task whereby the punishment level for incorrect responses was parametrically manipulated across blocks of trials. Behaviorally, we observed improved accuracy for high relative to low punishment levels. Using multivariate linear discriminant analysis of the EEG, we identified multiple punishment-induced discriminating components with spatially distinct scalp topographies. Compared with components related to sensory evidence, components discriminating punishment levels appeared later in the trial, suggesting that punishment affects primarily late postsensory, decision-related processing. Crucially, the amplitude of these punishment components across participants was predictive of the size of the behavioral improvements induced by punishment. Finally, trial-by-trial changes in prestimulus oscillatory activity in the alpha and gamma bands were good predictors of the amplitude of these components. We discuss these findings in the context of increased motivation/attention, resulting from increases in punishment, which in turn yields improved decision-related processing.

Alchemy to reason: Effective use of Cumulative Effects Assessment in resource management

DOE Office of Scientific and Technical Information (OSTI.GOV)

Hegmann, George, E-mail: george.hegmann@stantec.com; Yarranton, G.A., E-mail: yarran@shaw.ca

2011-09-15

Cumulative Effects Assessment (CEA) is a tool that can be useful in making decisions about natural resource management and allocation. The decisions to be made include those (i) necessary to construct planning and regulatory frameworks to control development activity so that societal goals will be achieved and (ii) whether or not to approve individual development projects, with or without conditions. The evolution of CEA into a more successful tool cannot occur independently of the evolution of decision making processes. Currently progress is painfully slow on both fronts. This paper explores some opportunities to accelerate improvements in decision making in naturalmore » resource management and in the utility of CEA as a tool to assist in making such decisions. The focus of the paper is on how to define the public interest by determining what is acceptable.« less

Simulation and Modeling Efforts to Support Decision Making in Healthcare Supply Chain Management

PubMed Central

Lazarova-Molnar, Sanja

2014-01-01

Recently, most healthcare organizations focus their attention on reducing the cost of their supply chain management (SCM) by improving the decision making pertaining processes' efficiencies. The availability of products through healthcare SCM is often a matter of life or death to the patient; therefore, trial and error approaches are not an option in this environment. Simulation and modeling (SM) has been presented as an alternative approach for supply chain managers in healthcare organizations to test solutions and to support decision making processes associated with various SCM problems. This paper presents and analyzes past SM efforts to support decision making in healthcare SCM and identifies the key challenges associated with healthcare SCM modeling. We also present and discuss emerging technologies to meet these challenges. PMID:24683333

Local public health resource allocation: limited choices and strategic decisions.

PubMed

Bekemeier, Betty; Chen, Anthony L-T; Kawakyu, Nami; Yang, Youngran

2013-12-01

Local health department leaders are expected to improve the health of their populations as they "use and contribute to" the evidence base for practice, but effectively providing and utilizing data and evidence for local public health decision making has proven difficult. This study was conducted in 2011 and initiated by Washington State's public health practice-based research network to identify factors influencing local resource allocation and programmatic decisions among public health leaders facing severe funding losses. Quantitative data informed sampling for the collection of interview data. Qualitative methods were used to capture diverse insights of Washington State's local public health leaders in making decisions regarding resource allocation. Local decision-making authority was perceived as greatly restricted by what public health activities were legally mandated and the categoric nature of funding sources, even as some leaders exercised deliberate strategic approaches. One's workforce and board of health were also influential in making decisions regarding resource allocations. Challenges were expressed regarding making use of data and research evidence for decision making. Data were analyzed in 2011-2012. Programmatic mandates, funding restrictions, local stakeholders, and workforce capacity appear to trump factors such as research evidence and perceived community need in public health resource allocation. Study findings highlight tensions between the literature descriptions of what "should" influence decision making in local public health and the realities of practice. Advancements in practice-based research and evidence-based decision making, however, provide opportunities for strengthening the development of evidence and research translation for local decision making to maximize resources and promote effective service provision. © 2013 American Journal of Preventive Medicine Published by American Journal of Preventive Medicine All rights reserved.

On-line confidence monitoring during decision making.

PubMed

Dotan, Dror; Meyniel, Florent; Dehaene, Stanislas

2018-02-01

Humans can readily assess their degree of confidence in their decisions. Two models of confidence computation have been proposed: post hoc computation using post-decision variables and heuristics, versus online computation using continuous assessment of evidence throughout the decision-making process. Here, we arbitrate between these theories by continuously monitoring finger movements during a manual sequential decision-making task. Analysis of finger kinematics indicated that subjects kept separate online records of evidence and confidence: finger deviation continuously reflected the ongoing accumulation of evidence, whereas finger speed continuously reflected the momentary degree of confidence. Furthermore, end-of-trial finger speed predicted the post-decisional subjective confidence rating. These data indicate that confidence is computed on-line, throughout the decision process. Speed-confidence correlations were previously interpreted as a post-decision heuristics, whereby slow decisions decrease subjective confidence, but our results suggest an adaptive mechanism that involves the opposite causality: by slowing down when unconfident, participants gain time to improve their decisions. Copyright © 2017 Elsevier B.V. All rights reserved.

[Shared decision-making in mental health care: a role model from youth mental health care].

PubMed

Westermann, G M A; Maurer, J M G

2015-01-01

In the communication and interaction between doctor and patient in Western health care there has been a paradigm shift from the paternalistic approach to shared decision-making. To summarise the background situation, recent developments and the current level of shared decision-making in (youth) mental health care. We conducted a critical review of the literature relating to the methodology development, research and the use of counselling and decision-making in mental health care. The majority of patients, professionals and other stakeholders consider shared decision-making to be desirable and important for improving the quality and efficiency of care. Up till recently most research and studies have concentrated on helping patients to develop decision-making skills and on showing patients how and where to access information. At the moment more attention is being given to the development of skills and circumstances that will increase patients' interaction with care professionals and patients' emotional involvement in shared decision-making. In mental health for children and adolescents, more often than in adult mental health care, it has been customary to give more attention to these aspects of shared decision-making, particularly during counselling sessions that mark the transition from diagnosis to treatment. This emphasis has been apparent for a long time in textbooks, daily practice, methodology development and research in youth mental health care. Currently, a number of similar developments are taking place in adult mental health care. Although most health professionals support the policy of shared decision-making, the implementation of the policy in mental health care is still at an early stage. In practice, a number of obstacles still have to be surmounted. However, the experience gained with counselling and decision-making in (youth) mental health care may serve as an example to other sections of mental health care and play an important role in the further development of shared decision-making.

Making the Connection between Environmental Science and Decision Making

NASA Astrophysics Data System (ADS)

Woodhouse, C. A.; Crimmins, M.; Ferguson, D. B.; Garfin, G. M.; Scott, C. A.

2011-12-01

As society is confronted with population growth, limited resources, and the impacts of climate variability and change, it is vital that institutions of higher education promote the development of professionals who can work with decision-makers to incorporate scientific information into environmental planning and management. Skills for the communication of science are essential, but equally important is the ability to understand decision-making contexts and engage with resource managers and policy makers. It is increasingly being recognized that people who understand the linkages between science and decision making are crucial if science is to better support planning and policy. A new graduate-level seminar, "Making the Connection between Environmental Science and Decision Making," is a core course for a new post-baccalaureate certificate program, Connecting Environmental Science and Decision Making at the University of Arizona. The goal of the course is to provide students with a basic understanding of the dynamics between scientists and decision makers that result in scientific information being incorporated into environmental planning, policy, and management decisions. Through readings from the environmental and social sciences, policy, and planning literature, the course explores concepts including scientific information supply and demand, boundary organizations, co-production of knowledge, platforms for engagement, and knowledge networks. Visiting speakers help students understand some of the challenges of incorporating scientific information into planning and decision making within institutional and political contexts. The course also includes practical aspects of two-way communication via written, oral, and graphical presentations as well as through the interview process to facilitate the transfer of scientific information to decision makers as well as to broader audiences. We aspire to help students develop techniques that improve communication and understanding between scientists and decision-makers, leading to enhanced outcomes in the fields of climate science, water resources, and ecosystem services.

Assessing the Effects of Financial Literacy on Patient Engagement.

PubMed

Meyer, Melanie A; Hudak, Ronald P

2016-07-01

We investigated the relationship between financial literacy and patient engagement while considering the possible interaction effects due to patient financial responsibility and patient-physician shared decision making, and the impact of personal attributes. Participants consisted of an Internet-based sample of American adults (N = 160). Hierarchical multiple linear regression analysis was conducted to examine the relationship of the study variables on patient engagement. We found that patient financial responsibility (β = -.19, p < .05) and patient-physician shared decision-making (β = .17, p < .05) predicted patient engagement. However, there was no statistically significant relationship between patient financial literacy and patient engagement; moreover, the moderation effects of patient financial responsibility and shared decision making with financial literacy also were not statistically significant. Increasing patient financial responsibility and patient-physician shared decision making can impact patient engagement. Understanding the predictors of patient engagement and the factors that influence financial behaviors may allow for the development of interventions to enable patients to make better healthcare decisions, and ultimately, improve health outcomes.

Exploring information provision in reconstructive breast surgery: A qualitative study.

PubMed

Potter, Shelley; Mills, Nicola; Cawthorn, Simon; Wilson, Sherif; Blazeby, Jane

2015-12-01

Women considering reconstructive breast surgery (RBS) require adequate information to make informed treatment decisions. This study explored patients' and health professionals' (HPs) perceptions of the adequacy of information provided for decision-making in RBS. Semi-structured interviews with a purposive sample of patients who had undergone RBS and HPs providing specialist care explored participants' experiences of information provision prior to RBS. Professionals reported providing standardised verbal, written and photographic information about the process and outcomes of surgery. Women, by contrast, reported varying levels of information provision. Some felt fully-informed but others perceived they had received insufficient information about available treatment options or possible outcomes of surgery to make an informed decision. Women need adequate information to make informed decisions about RBS and current practice may not meet women's needs. Minimum agreed standards of information provision, especially about alternative types of reconstruction, are recommended to improve decision-making in RBS. Copyright © 2015 Elsevier Ltd. All rights reserved.

Involvement of Family Members and Professionals in Older Women's Post-Fall Decision Making.

PubMed

Bergeron, Caroline D; Hilfinger Messias, DeAnne K; Friedman, Daniela B; Spencer, S Melinda; Miller, Susan C

2018-03-01

This exploratory, descriptive study examined involvement of family members and professionals in older women's post-fall decision making. We conducted semistructured interviews with 17 older women who had recently fallen and 11 individuals these women identified as being engaged in their post-fall decision-making processes. Qualitative data analysis involved open and axial coding and development of themes. After experiencing a fall, these older women's openness to others' opinions and advice; their assessments of types and credibility of potential information sources; and the communication practices they established with these sources influenced how they accessed, accepted, or rejected information from family members and professionals. Increased awareness of the involvement of others in post-fall decision making could enhance communication with older women who fall. Developing and implementing practical strategies to help family members and professionals initiate and engage in conversations about falls and their consequences could lead to more open decision making and improved post-fall quality of life among older women.

Current decision-making in prostate cancer therapy.

PubMed

Cox, Jared; Amling, Christopher L

2008-05-01

Prostate cancer continues to be the most prevalent cancer among American men. Localized prostate cancer is commonly diagnosed because of improved screening practices nationwide. Several options exist for the treatment of localized prostate cancer, and this review discusses the decision-making process facing patients diagnosed with this disease. No one treatment for localized prostate cancer has proven superior to date. For this reason patients have been found to use a number of resources to make an informed decision. These include physicians, spouses, family, friends, and different media. Urologists serve as the primary and most influential physicians and play an important role in the decision-making process. Patients, however, are assuming a more active role in this process as time evolves, especially with ease of access to multiple information resources. In deciding on a treatment for localized prostate cancer, patients must weigh the risks and benefits of each option. Urologists must provide patients with up-to-date information on these options and be aware of the different influences that surround these men during the decision-making process.

Multi-objective decision-making under uncertainty: Fuzzy logic methods

NASA Technical Reports Server (NTRS)

Hardy, Terry L.

1994-01-01

Selecting the best option among alternatives is often a difficult process. This process becomes even more difficult when the evaluation criteria are vague or qualitative, and when the objectives vary in importance and scope. Fuzzy logic allows for quantitative representation of vague or fuzzy objectives, and therefore is well-suited for multi-objective decision-making. This paper presents methods employing fuzzy logic concepts to assist in the decision-making process. In addition, this paper describes software developed at NASA Lewis Research Center for assisting in the decision-making process. Two diverse examples are used to illustrate the use of fuzzy logic in choosing an alternative among many options and objectives. One example is the selection of a lunar lander ascent propulsion system, and the other example is the selection of an aeration system for improving the water quality of the Cuyahoga River in Cleveland, Ohio. The fuzzy logic techniques provided here are powerful tools which complement existing approaches, and therefore should be considered in future decision-making activities.

Localized prostate cancer treatment decision-making information online: improving its effectiveness and dissemination for nonprofit and government-supported organizations.

PubMed

Silk, Kami J; Perrault, Evan K; Nazione, Samantha; Pace, Kristin; Hager, Polly; Springer, Steven

2013-12-01

The current study reports findings from evaluation research conducted to identify how online prostate cancer treatment decision-making information can be both improved and more effectively disseminated to those who need it most. A multi-method, multi-target approach was used and guided by McGuire's Communication Matrix Model. Focus groups (n = 31) with prostate cancer patients and their family members, and in-depth interviews with physicians (n = 8), helped inform a web survey (n = 89). Results indicated that physicians remain a key information source for medical advice and the Internet is a primary channel used to help make informed prostate cancer treatment decisions. Participants reported a need for more accessible information related to treatment options and treatment side effects. Additionally, physicians indicated that the best way for agencies to reach them with new information to deliver to patients is by contacting them directly and meeting with them one-on-one. Advice for organizations to improve their current prostate cancer web offerings and further ways to improve information dissemination are discussed.

78 FR 53436 - Improving Performance of Federal Permitting and Review of Infrastructure Projects

Federal Register 2010, 2011, 2012, 2013, 2014

2013-08-29

... an efficient decision-making process within each agency; to the extent possible, unifying and... IIP Process, the developer is encouraged to inform DOE in writing as soon as possible of its decision... to improve the performance of Federal siting, permitting, and review processes for infrastructure...

Making Strategic Decisions: Conducting and Using Research on the Impact of Sequenced Library Instruction

ERIC Educational Resources Information Center

Lundstrom, Kacy; Martin, Pamela; Cochran, Dory

2016-01-01

This study explores the relationship between course grades and sequenced library instruction interventions throughout psychology students' curriculum. Researchers conducted this study to inform decisions about sustaining and improving program integrations for first- and second-year composition courses and to improve discipline-level integrations.…

Identifying and assessing the application of ecosystem services approaches in environmental policies and decision making.

PubMed

Van Wensem, Joke; Calow, Peter; Dollacker, Annik; Maltby, Lorraine; Olander, Lydia; Tuvendal, Magnus; Van Houtven, George

2017-01-01

The presumption is that ecosystem services (ES) approaches provide a better basis for environmental decision making than do other approaches because they make explicit the connection between human well-being and ecosystem structures and processes. However, the existing literature does not provide a precise description of ES approaches for environmental policy and decision making, nor does it assess whether these applications will make a difference in terms of changing decisions and improving outcomes. We describe 3 criteria that can be used to identify whether and to what extent ES approaches are being applied: 1) connect impacts all the way from ecosystem changes to human well-being, 2) consider all relevant ES affected by the decision, and 3) consider and compare the changes in well-being of different stakeholders. As a demonstration, we then analyze retrospectively whether and how the criteria were met in different decision-making contexts. For this assessment, we have developed an analysis format that describes the type of policy, the relevant scales, the decisions or questions, the decision maker, and the underlying documents. This format includes a general judgment of how far the 3 ES criteria have been applied. It shows that the criteria can be applied to many different decision-making processes, ranging from the supranational to the local scale and to different parts of decision-making processes. In conclusion we suggest these criteria could be used for assessments of the extent to which ES approaches have been and should be applied, what benefits and challenges arise, and whether using ES approaches made a difference in the decision-making process, decisions made, or outcomes of those decisions. Results from such studies could inform future use and development of ES approaches, draw attention to where the greatest benefits and challenges are, and help to target integration of ES approaches into policies, where they can be most effective. Integr Environ Assess Manag 2017;13:41-51. © 2016 SETAC. © 2016 SETAC.

Clarity versus complexity: land-use modeling as a practical tool for decision-makers

USGS Publications Warehouse

Sohl, Terry L.; Claggett, Peter

2013-01-01

The last decade has seen a remarkable increase in the number of modeling tools available to examine future land-use and land-cover (LULC) change. Integrated modeling frameworks, agent-based models, cellular automata approaches, and other modeling techniques have substantially improved the representation of complex LULC systems, with each method using a different strategy to address complexity. However, despite the development of new and better modeling tools, the use of these tools is limited for actual planning, decision-making, or policy-making purposes. LULC modelers have become very adept at creating tools for modeling LULC change, but complicated models and lack of transparency limit their utility for decision-makers. The complicated nature of many LULC models also makes it impractical or even impossible to perform a rigorous analysis of modeling uncertainty. This paper provides a review of land-cover modeling approaches and the issues causes by the complicated nature of models, and provides suggestions to facilitate the increased use of LULC models by decision-makers and other stakeholders. The utility of LULC models themselves can be improved by 1) providing model code and documentation, 2) through the use of scenario frameworks to frame overall uncertainties, 3) improving methods for generalizing key LULC processes most important to stakeholders, and 4) adopting more rigorous standards for validating models and quantifying uncertainty. Communication with decision-makers and other stakeholders can be improved by increasing stakeholder participation in all stages of the modeling process, increasing the transparency of model structure and uncertainties, and developing user-friendly decision-support systems to bridge the link between LULC science and policy. By considering these options, LULC science will be better positioned to support decision-makers and increase real-world application of LULC modeling results.

Comparison of Multi-Criteria Decision Support Methods (AHP, TOPSIS, SAW & PROMENTHEE) for Employee Placement

NASA Astrophysics Data System (ADS)

Widianta, M. M. D.; Rizaldi, T.; Setyohadi, D. P. S.; Riskiawan, H. Y.

2018-01-01

The right decision in placing employees in an appropriate position in a company will support the quality of management and will have an impact on improving the quality of human resources of the company. Such decision-making can be assisted by an approach through the Decision Support System (DSS) to improve accuracy in the employee placement process. The purpose of this paper is to compare the four methods of Multi Criteria Decision Making (MCDM), ie Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Simple Additive Weighting (SAW), Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment Of Evaluations (PROMETHEE) for the application of employee placement in accordance with predetermined criteria. The ranking results and the accuracy level obtained from each method are different depending on the different scaling and weighting processes in each method.

Orbitofrontal cortex, emotional decision-making and response to cognitive behavioural therapy for psychosis.

PubMed

Premkumar, Preethi; Fannon, Dominic; Sapara, Adegboyega; Peters, Emmanuelle R; Anilkumar, Anantha P; Simmons, Andrew; Kuipers, Elizabeth; Kumari, Veena

2015-03-30

Grey matter volume (GMV) in the orbitofrontal cortex (OFC) may relate to better response to cognitive behavioural therapy for psychosis (CBTp) because of the region׳s role in emotional decision-making and cognitive flexibility. This study aimed to determine the relation between pre-therapy OFC GMV or asymmetry, emotional decision-making and CBTp responsiveness. Emotional decision-making was measured by the Iowa Gambling task (IGT). Thirty patients received CBTp+standard care (CBTp+SC; 25 completers) for 6-8 months. All patients (before receiving CBTp) and 25 healthy participants underwent structural magnetic resonance imaging. Patients׳ symptoms were assessed before and after therapy. Pre-therapy OFC GMV was measured using a region-of-interest approach, and IGT performance was measured as overall learning, attention to reward, memory for past outcomes and choice consistency. Both these measures, were comparable between patient and healthy groups. In the CBTp+SC group, greater OFC GMV correlated with positive symptom improvement, specifically hallucinations and persecution. Greater rightward OFC asymmetry correlated with improvement in several negative and general psychopathology symptoms. Greater left OFC GMV was associated with lower IGT attention to reward. The findings suggest that greater OFC volume and rightward asymmetry, which maintain the OFC׳s function in emotional decision-making and cognitive flexibility, are beneficial for CBTp responsiveness. Copyright © 2015 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Prostate cancer survivors with a passive role preference in treatment decision-making are less satisfied with information received: Results from the PROFILES registry.

PubMed

Cuypers, Maarten; Lamers, Romy E D; de Vries, Marieke; Husson, Olga; Kil, Paul J M; van de Poll-Franse, Lonneke V

2016-11-01

To investigate decision-making role preferences and their association with the evaluation of information received in a sample of low-risk and intermediate-risk prostate cancer (Pca) survivors. Cross-sectional study involved 562 men diagnosed with low-risk or intermediate-risk Pca (median time since diagnosis, 48mo), measuring preferred decision-making role (Control Preference Scale) and the evaluation of information received (EORTC QLQ-INFO25). Analyses were performed using analysis of variance, chi-square tests, and multivariable linear regression models. Men who preferred a passive role were older and less educated than other preference groups and more often selected a noninvasive treatment option (all with P<0.001). The passive role preference group reported having received less information, judged the received information as less helpful, and indicated lower overall satisfaction with information received (all with P<0.05). Role preference groups did not differ in their desire to receive more information. Compared with nonpassive preference groups, the preference for a passive role in Pca treatment decision-making is associated with less satisfaction with the information received. Assessment of role preferences and tailored information provision could improve satisfaction with information received and perhaps may ultimately lead to improved patient participation in treatment decision-making. Copyright © 2016 Elsevier Inc. All rights reserved.

A multimetric, map-aware routing protocol for VANETs in urban areas.

PubMed

Tripp-Barba, Carolina; Urquiza-Aguiar, Luis; Aguilar Igartua, Mónica; Rebollo-Monedero, David; de la Cruz Llopis, Luis J; Mezher, Ahmad Mohamad; Aguilar-Calderón, José Alfonso

2014-01-28

In recent years, the general interest in routing for vehicular ad hoc networks (VANETs) has increased notably. Many proposals have been presented to improve the behavior of the routing decisions in these very changeable networks. In this paper, we propose a new routing protocol for VANETs that uses four different metrics. which are the distance to destination, the vehicles' density, the vehicles' trajectory and the available bandwidth, making use of the information retrieved by the sensors of the vehicle, in order to make forwarding decisions, minimizing packet losses and packet delay. Through simulation, we compare our proposal to other protocols, such as AODV (Ad hoc On-Demand Distance Vector), GPSR (Greedy Perimeter Stateless Routing), I-GPSR (Improvement GPSR) and to our previous proposal, GBSR-B (Greedy Buffer Stateless Routing Building-aware). Besides, we present a performance evaluation of the individual importance of each metric to make forwarding decisions. Experimental results show that our proposed forwarding decision outperforms existing solutions in terms of packet delivery.

Benefits and limitations of using decision analytic tools to assess uncertainty and prioritize Landscape Conservation Cooperative information needs

USGS Publications Warehouse

Post van der Burg, Max; Cullinane Thomas, Catherine; Holcombe, Tracy R.; Nelson, Richard D.

2016-01-01

The Landscape Conservation Cooperatives (LCCs) are a network of partnerships throughout North America that are tasked with integrating science and management to support more effective delivery of conservation at a landscape scale. In order to achieve this integration, some LCCs have adopted the approach of providing their partners with better scientific information in an effort to facilitate more effective and coordinated conservation decisions. Taking this approach has led many LCCs to begin funding research to provide the information for improved decision making. To ensure that funding goes to research projects with the highest likelihood of leading to more integrated broad scale conservation, some LCCs have also developed approaches for prioritizing which information needs will be of most benefit to their partnerships. We describe two case studies in which decision analytic tools were used to quantitatively assess the relative importance of information for decisions made by partners in the Plains and Prairie Potholes LCC. The results of the case studies point toward a few valuable lessons in terms of using these tools with LCCs. Decision analytic tools tend to help shift focus away from research oriented discussions and toward discussions about how information is used in making better decisions. However, many technical experts do not have enough knowledge about decision making contexts to fully inform the latter type of discussion. When assessed in the right decision context, however, decision analyses can point out where uncertainties actually affect optimal decisions and where they do not. This helps technical experts understand that not all research is valuable in improving decision making. But perhaps most importantly, our results suggest that decision analytic tools may be more useful for LCCs as way of developing integrated objectives for coordinating partner decisions across the landscape, rather than simply ranking research priorities.

Tools to Promote Shared Decision Making in Serious Illness: A Systematic Review.

PubMed

Austin, C Adrian; Mohottige, Dinushika; Sudore, Rebecca L; Smith, Alexander K; Hanson, Laura C

2015-07-01

Serious illness impairs function and threatens survival. Patients facing serious illness value shared decision making, yet few decision aids address the needs of this population. To perform a systematic review of evidence about decision aids and other exportable tools that promote shared decision making in serious illness, thereby (1) identifying tools relevant to the treatment decisions of seriously ill patients and their caregivers, (2) evaluating the quality of evidence for these tools, and (3) summarizing their effect on outcomes and accessibility for clinicians. We searched PubMed, CINAHL, and PsychInfo from January 1, 1995, through October 31, 2014, and identified additional studies from reference lists and other systematic reviews. Clinical trials with random or nonrandom controls were included if they tested print, video, or web-based tools for advance care planning (ACP) or decision aids for serious illness. We extracted data on the study population, design, results, and risk for bias using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) criteria. Each tool was evaluated for its effect on patient outcomes and accessibility. Seventeen randomized clinical trials tested decision tools in serious illness. Nearly all the trials were of moderate or high quality and showed that decision tools improve patient knowledge and awareness of treatment choices. The available tools address ACP, palliative care and goals of care communication, feeding options in dementia, lung transplant in cystic fibrosis, and truth telling in terminal cancer. Five randomized clinical trials provided further evidence that decision tools improve ACP documentation, clinical decisions, and treatment received. Clinicians can access and use evidence-based tools to engage seriously ill patients in shared decision making. This field of research is in an early stage; future research is needed to develop novel decision aids for other serious diagnoses and key decisions. Health care delivery organizations should prioritize the use of currently available tools that are evidence based and effective.

Decision space for health workforce management in decentralized settings: a case study in Uganda.

PubMed

Alonso-Garbayo, Alvaro; Raven, Joanna; Theobald, Sally; Ssengooba, Freddie; Nattimba, Milly; Martineau, Tim

2017-11-01

The aim of this paper is to improve understanding about how district health managers perceive and use their decision space for human resource management (HRM) and how this compares with national policies and regulatory frameworks governing HRM. The study builds upon work undertaken by PERFORM Research Consortium in Uganda using action-research to strengthen human resources management in the health sector. To assess the decision space that managers have in six areas of HRM (e.g. policy, planning, remuneration and incentives, performance management, education and information) the study compares the roles allocated by Uganda's policy and regulatory frameworks with the actual room for decision-making that district health managers perceive that they have. Results show that in some areas District Health Management Team (DHMT) members make decisions beyond their conferred authority while in others they do not use all the space allocated by policy. DHMT members operate close to the boundaries defined by public policy in planning, remuneration and incentives, policy and performance management. However, they make decisions beyond their conferred authority in the area of information and do not use all the space allocated by policy in the area of education. DHMTs' decision-making capacity to manage their workforce is influenced by their own perceived authority and sometimes it is constrained by decisions made at higher levels. We can conclude that decentralization, to improve workforce performance, needs to devolve power further down from district authorities onto district health managers. DHMTs need not only more power and authority to make decisions about their workforce but also more control over resources to be able to implement these decisions. © The Author 2017. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Critically Ill Patients and End-of-Life Decision-Making: The Senior Medical Resident Experience

ERIC Educational Resources Information Center

Ahern, Stephane P.; Doyle, Tina K.; Marquis, Francois; Lesk, Corey; Skrobik, Yoanna

2012-01-01

In order to improve the understanding of educational needs among residents caring for the critically ill, narrative accounts of 19 senior physician trainees participating in level of care decision-making were analyzed. In this multicentre qualitative study involving 9 university centers in Canada, in-depth interviews were conducted in either…

Public Marketing: An Alternative Policy Decision-Making Idea for Small Cities. Community Development Research Series.

ERIC Educational Resources Information Center

Meyers, James; And Others

The concept of public marketing presents a strategy for the systems approach to community development that would facilitate the community decision making process via improved communication. Basic aspects of the social marketing process include: (1) product policy; (2) channels of distribution; (3) pricing (perceived price vs quality and quantity…

A Feedback Learning and Mental Models Perspective on Strategic Decision Making

ERIC Educational Resources Information Center

Capelo, Carlos; Dias, Joao Ferreira

2009-01-01

This study aims to be a contribution to a theoretical model that explains the effectiveness of the learning and decision-making processes by means of a feedback and mental models perspective. With appropriate mental models, managers should be able to improve their capacity to deal with dynamically complex contexts, in order to achieve long-term…

A Developmental Study Examining the Value, Effectiveness, and Quality of a Data Literacy Intervention

ERIC Educational Resources Information Center

Rogers, Michelle Antionette

2015-01-01

Previous research indicates that pre- and in-service teachers are not receiving adequate training to implement data-informed instructional decision making. This is problematic given the promise this decision making process holds for improving instruction and student learning. At the same time, many educators do not see the value of different types…

Potential for Improved Crop Yield Prediction Through Assimilation of Satellite-Derived Soil Moisture Data

USDA-ARS?s Scientific Manuscript database

Crop yield estimates have a strong impact on dealing with food shortages and on market demand and supply; these estimates are critical for decision-making processes by the U.S. Government, policy makers, stakeholders, etc. Most of the decision making is based on forecasts provided by the U.S. Depart...

The Role of Gist and Verbatim Memory in Complex Decision Making: Explaining the Unconscious-Thought Effect

ERIC Educational Resources Information Center

Abadie, Marlène; Waroquier, Laurent; Terrier, Patrice

2017-01-01

Previous research showed that the "unconscious-thought effect", which refers to an improvement in complex decision making following a distraction period, was moderated by the presentation format of pieces of information about different options. The aim of the current study was to replicate this finding and further examine the memory…

Decision-Making, Information Communication Technology, and Data Analysis by School Leaders about Student Achievement

ERIC Educational Resources Information Center

Akoma, Ahunna Margaux

2012-01-01

This case study of one school district examined how school leaders use student performance data and technology-based data analysis tools to engage in data-informed decision-making for continuous improvement. School leaders in this context included leaders at the district, school, and classroom levels. An extensive literature review provided the…

Cancer care decision making in multidisciplinary meetings.

PubMed

Dew, Kevin; Stubbe, Maria; Signal, Louise; Stairmand, Jeannine; Dennett, Elizabeth; Koea, Jonathan; Simpson, Andrew; Sarfati, Diana; Cunningham, Chris; Batten, Lesley; Ellison-Loschmann, Lis; Barton, Josh; Holdaway, Maureen

2015-03-01

Little research has been undertaken on the actual decision-making processes in cancer care multidisciplinary meetings (MDMs). This article was based on a qualitative observational study of two regional cancer treatment centers in New Zealand. We audiorecorded 10 meetings in which 106 patient cases were discussed. Members of the meetings categorized cases in varying ways, drew on a range of sources of authority, expressed different value positions, and utilized a variety of strategies to justify their actions. An important dimension of authority was encountered authority-the authority a clinician has because of meeting the patient. The MDM chairperson can play an important role in making explicit the sources of authority being drawn on and the value positions of members to provide more clarity to the decision-making process. Attending to issues of process, authority, and values in MDMs has the potential to improve cancer care decision making and ultimately, health outcomes. © The Author(s) 2014.

Modelling human decision-making in coupled human and natural systems

NASA Astrophysics Data System (ADS)

Feola, G.

2012-12-01

A solid understanding of human decision-making is essential to analyze the complexity of coupled human and natural systems (CHANS) and inform policies to promote resilience in the face of environmental change. Human decisions drive and/or mediate the interactions and feedbacks, and contribute to the heterogeneity and non-linearity that characterize CHANS. However, human decision-making is usually over-simplistically modeled, whereby human agents are represented deterministically either as dumb or clairvoyant decision-makers. Decision-making models fall short in the integration of both environmental and human behavioral drivers, and concerning the latter, tend to focus on only one category, e.g. economic, cultural, or psychological. Furthermore, these models render a linear decision-making process and therefore fail to account for the recursive co-evolutionary dynamics in CHANS. As a result, these models constitute only a weak basis for policy-making. There is therefore scope and an urgent need for better approaches to human decision-making, to produce the knowledge that can inform vulnerability reduction policies in the face of environmental change. This presentation synthesizes the current state-of-the-art of modelling human decision-making in CHANS, with particular reference to agricultural systems, and delineates how the above mentioned shortcomings can be overcome. Through examples from research on pesticide use and adaptation to climate change, both based on the integrative agent-centered framework (Feola and Binder, 2010), the approach for an improved understanding of human agents in CHANS are illustrated. This entails: integrative approach, focus on behavioral dynamics more than states, feedbacks between individual and system levels, and openness to heterogeneity.

Improving health information systems for decision making across five sub-Saharan African countries: Implementation strategies from the African Health Initiative.

PubMed

Mutale, Wilbroad; Chintu, Namwinga; Amoroso, Cheryl; Awoonor-Williams, Koku; Phillips, James; Baynes, Colin; Michel, Cathy; Taylor, Angela; Sherr, Kenneth

2013-01-01

Weak health information systems (HIS) are a critical challenge to reaching the health-related Millennium Development Goals because health systems performance cannot be adequately assessed or monitored where HIS data are incomplete, inaccurate, or untimely. The Population Health Implementation and Training (PHIT) Partnerships were established in five sub-Saharan African countries (Ghana, Mozambique, Rwanda, Tanzania, and Zambia) to catalyze advances in strengthening district health systems. Interventions were tailored to the setting in which activities were planned. All five PHIT Partnerships share a common feature in their goal of enhancing HIS and linking data with improved decision-making, specific strategies varied. Mozambique, Ghana, and Tanzania all focus on improving the quality and use of the existing Ministry of Health HIS, while the Zambia and Rwanda partnerships have introduced new information and communication technology systems or tools. All partnerships have adopted a flexible, iterative approach in designing and refining the development of new tools and approaches for HIS enhancement (such as routine data quality audits and automated troubleshooting), as well as improving decision making through timely feedback on health system performance (such as through summary data dashboards or routine data review meetings). The most striking differences between partnership approaches can be found in the level of emphasis of data collection (patient versus health facility), and consequently the level of decision making enhancement (community, facility, district, or provincial leadership). Design differences across PHIT Partnerships reflect differing theories of change, particularly regarding what information is needed, who will use the information to affect change, and how this change is expected to manifest. The iterative process of data use to monitor and assess the health system has been heavily communication dependent, with challenges due to poor feedback loops. Implementation to date has highlighted the importance of engaging frontline staff and managers in improving data collection and its use for informing system improvement. Through rigorous process and impact evaluation, the experience of the PHIT teams hope to contribute to the evidence base in the areas of HIS strengthening, linking HIS with decision making, and its impact on measures of health system outputs and impact.