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.

Linking science and decision making to promote an ecology for the city: practices and opportunities

Treesearch

Morgan Grove; Daniel L. Childers; Michael Galvin; Sarah J. Hines; Tischa Munoz-Erickson; Erika S. Svendsen

2016-01-01

To promote urban sustainability and resilience, there is an increasing demand for actionable science that links science and decision making based on social–ecological knowledge. Approaches, frameworks, and practices for such actionable science are needed and have only begun to emerge. We propose that approaches based on the co- design and co- production of knowledge...

Conceptual framework of knowledge management for ethical decision-making support in neonatal intensive care.

PubMed

Frize, Monique; Yang, Lan; Walker, Robin C; O'Connor, Annette M

2005-06-01

This research is built on the belief that artificial intelligence estimations need to be integrated into clinical social context to create value for health-care decisions. In sophisticated neonatal intensive care units (NICUs), decisions to continue or discontinue aggressive treatment are an integral part of clinical practice. High-quality evidence supports clinical decision-making, and a decision-aid tool based on specific outcome information for individual NICU patients will provide significant support for parents and caregivers in making difficult "ethical" treatment decisions. In our approach, information on a newborn patient's likely outcomes is integrated with the physician's interpretation and parents' perspectives into codified knowledge. Context-sensitive content adaptation delivers personalized and customized information to a variety of users, from physicians to parents. The system provides structuralized knowledge translation and exchange between all participants in the decision, facilitating collaborative decision-making that involves parents at every stage on whether to initiate, continue, limit, or terminate intensive care for their infant.

Passing Decisions in Football: Introducing an Empirical Approach to Estimating the Effects of Perceptual Information and Associative Knowledge.

PubMed

Steiner, Silvan

2018-01-01

The importance of various information sources in decision-making in interactive team sports is debated. While some highlight the role of the perceptual information provided by the current game context, others point to the role of knowledge-based information that athletes have regarding their team environment. Recently, an integrative perspective considering the simultaneous involvement of both of these information sources in decision-making in interactive team sports has been presented. In a theoretical example concerning passing decisions, the simultaneous involvement of perceptual and knowledge-based information has been illustrated. However, no precast method of determining the contribution of these two information sources empirically has been provided. The aim of this article is to bridge this gap and present a statistical approach to estimating the effects of perceptual information and associative knowledge on passing decisions. To this end, a sample dataset of scenario-based passing decisions is analyzed. This article shows how the effects of perceivable team positionings and athletes' knowledge about their fellow team members on passing decisions can be estimated. Ways of transfering this approach to real-world situations and implications for future research using more representative designs are presented.

Passing Decisions in Football: Introducing an Empirical Approach to Estimating the Effects of Perceptual Information and Associative Knowledge

PubMed Central

Steiner, Silvan

2018-01-01

The importance of various information sources in decision-making in interactive team sports is debated. While some highlight the role of the perceptual information provided by the current game context, others point to the role of knowledge-based information that athletes have regarding their team environment. Recently, an integrative perspective considering the simultaneous involvement of both of these information sources in decision-making in interactive team sports has been presented. In a theoretical example concerning passing decisions, the simultaneous involvement of perceptual and knowledge-based information has been illustrated. However, no precast method of determining the contribution of these two information sources empirically has been provided. The aim of this article is to bridge this gap and present a statistical approach to estimating the effects of perceptual information and associative knowledge on passing decisions. To this end, a sample dataset of scenario-based passing decisions is analyzed. This article shows how the effects of perceivable team positionings and athletes' knowledge about their fellow team members on passing decisions can be estimated. Ways of transfering this approach to real-world situations and implications for future research using more representative designs are presented. PMID:29623057

The Multifold Relationship Between Memory and Decision Making: An Individual-differences Study

PubMed Central

Del Missier, Fabio; Mäntylä, Timo; Hansson, Patrik; Bruine de Bruin, Wändi; Parker, Andrew M.; Nilsson, Lars-Göran

2014-01-01

Several judgment and decision-making tasks are assumed to involve memory functions, but significant knowledge gaps on the memory processes underlying these tasks remain. In a study on 568 adults between 25 to 80 years, hypotheses were tested on the specific relationships between individual differences in working memory, episodic memory, and semantic memory, respectively, and six main components of decision-making competence. In line with the hypotheses, working memory was positively related with the more cognitively-demanding tasks (Resistance to Framing, Applying Decision Rules, and Under/Overconfidence), whereas episodic memory was positively associated with a more experience-based judgment task (Recognizing Social Norms). Furthermore, semantic memory was positively related with two more knowledge-based decision-making tasks (Consistency in Risk Perception and Resistance to Sunk Costs). Finally, the age-related decline observed in some of the decision-making tasks was (partially or totally) mediated by the age-related decline in working memory or episodic memory. These findings are discussed in relation to the functional roles fulfilled by different memory processes in judgment and decision-making tasks. PMID:23565790

Assessing Professional Decision-Making Abilities.

ERIC Educational Resources Information Center

McNergney, Robert; Hinson, Stephanie

1985-01-01

Describes Teacher Development Decision Exercises, a computer-based method of diagnosing abilities of elementary and secondary school supervisors (principals, staff developers, curriculum coordinators) to make professional preactive or planning decisions. This approval simulates assessment of supervisors' abilities to use professional knowledge to…

Intuition: A Concept Analysis.

PubMed

Chilcote, Deborah R

2017-01-01

The purpose of this article is to conceptually examine intuition; identify the importance of intuition in nursing education, clinical practice, and patient care; encourage acceptance of the use of intuition; and add to the body of nursing knowledge. Nurses often report using intuition when making clinical decisions. Intuition is a rapid, unconscious process based in global knowledge that views the patient holistically while synthesizing information to improve patient outcomes. However, with the advent of evidence-based practice (EBP), the use of intuition has become undervalued in nursing. Walker and Avant's framework was used to analyze intuition. A literature search from 1987 to 2014 was conducted using the following keywords: intuition, intuition and nursing, clinical decision making, clinical decision making and intuition, patient outcomes, EBP, and analytical thinking. The use of intuition is reported by nurses, but is not legitimized within the nursing profession. Defining attributes of intuition are an unconscious, holistic knowledge gathered without using an analytical process and knowledge derived through synthesis, not analysis. Consequences include verification of intuition through an analytical process and translating that knowledge into a course of action. This article supports the use of intuition in nursing by offering clarity to the concept, adds to the nursing knowledge base, encourages a holistic view of the patient during clinical decision making, and encourages nurse educators to promote the use of intuition. © 2016 Wiley Periodicals, Inc.

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

Knowledge Visualizations: A Tool to Achieve Optimized Operational Decision Making and Data Integration

DTIC Science & Technology

2015-06-01

Hadoop Distributed File System (HDFS) without any integration with Accumulo-based Knowledge Stores based on OWL/RDF. 4. Cloud Based The Apache Software...BTW, 7(12), pp. 227–241. Godin, A. & Akins, D. (2014). Extending DCGS-N naval tactical clouds from in-storage to in-memory for the integrated fires...VISUALIZATIONS: A TOOL TO ACHIEVE OPTIMIZED OPERATIONAL DECISION MAKING AND DATA INTEGRATION by Paul C. Hudson Jeffrey A. Rzasa June 2015 Thesis

Data warehousing: toward knowledge management.

PubMed

Shams, K; Farishta, M

2001-02-01

With rapid changes taking place in the practice and delivery of health care, decision support systems have assumed an increasingly important role. More and more health care institutions are deploying data warehouse applications as decision support tools for strategic decision making. By making the right information available at the right time to the right decision makers in the right manner, data warehouses empower employees to become knowledge workers with the ability to make the right decisions and solve problems, creating strategic leverage for the organization. Health care management must plan and implement data warehousing strategy using a best practice approach. Through the power of data warehousing, health care management can negotiate bettermanaged care contracts based on the ability to provide accurate data on case mix and resource utilization. Management can also save millions of dollars through the implementation of clinical pathways in better resource utilization and changing physician behavior to best practices based on evidence-based medicine.

Evidence and Obesity Prevention: Developing Evidence Summaries to Support Decision Making

ERIC Educational Resources Information Center

Clark, Rachel; Waters, Elizabeth; Armstrong, Rebecca; Conning, Rebecca; Allender, Steven; Swinburn, Boyd

2013-01-01

Public health practitioners make decisions based on research evidence in combination with a variety of other influences. Evidence summaries are one of a range of knowledge translation options used to support evidence-informed decision making. The literature relevant to obesity prevention requires synthesis for it to be accessible and relevant to…

Examining Challenges Related to the Production of Actionable Climate Knowledge for Adaptation Decision-Making: A Focus on Climate Knowledge System Producers

NASA Astrophysics Data System (ADS)

Ernst, K.; Preston, B. L.; Tenggren, S.; Klein, R.; Gerger-Swartling, Å.

2017-12-01

Many challenges to adaptation decision-making and action have been identified across peer-reviewed and gray literature. These challenges have primarily focused on the use of climate knowledge for adaptation decision-making, the process of adaptation decision-making, and the needs of the decision-maker. Studies on climate change knowledge systems often discuss the imperative role of climate knowledge producers in adaptation decision-making processes and stress the need for producers to engage in knowledge co-production activities and to more effectively meet decision-maker needs. While the influence of climate knowledge producers on the co-production of science for adaptation decision-making is well-recognized, hardly any research has taken a direct approach to analyzing the challenges that climate knowledge producers face when undertaking science co-production. Those challenges can influence the process of knowledge production and may hinder the creation, utilization, and dissemination of actionable knowledge for adaptation decision-making. This study involves semi-structured interviews, focus groups, and participant observations to analyze, identify, and contextualize the challenges that climate knowledge producers in Sweden face as they endeavor to create effective climate knowledge systems for multiple contexts, scales, and levels across the European Union. Preliminary findings identify complex challenges related to education, training, and support; motivation, willingness, and culture; varying levels of prioritization; professional roles and responsibilities; the type and amount of resources available; and professional incentive structures. These challenges exist at varying scales and levels across individuals, organizations, networks, institutions, and disciplines. This study suggests that the creation of actionable knowledge for adaptation decision-making is not supported across scales and levels in the climate knowledge production landscape. Additionally, enabling the production of actionable knowledge for adaptation decision-making requires multi-level effort beyond the individual level.

Web-Based Versus Usual Care and Other Formats of Decision Aids to Support Prostate Cancer Screening Decisions: Systematic Review and Meta-Analysis.

PubMed

Baptista, Sofia; Teles Sampaio, Elvira; Heleno, Bruno; Azevedo, Luís Filipe; Martins, Carlos

2018-06-26

Prostate cancer is a leading cause of cancer among men. Because screening for prostate cancer is a controversial issue, many experts in the field have defended the use of shared decision making using validated decision aids, which can be presented in different formats (eg, written, multimedia, Web). Recent studies have concluded that decision aids improve knowledge and reduce decisional conflict. This meta-analysis aimed to investigate the impact of using Web-based decision aids to support men's prostate cancer screening decisions in comparison with usual care and other formats of decision aids. We searched PubMed, CINAHL, PsycINFO, and Cochrane CENTRAL databases up to November 2016. This search identified randomized controlled trials, which assessed Web-based decision aids for men making a prostate cancer screening decision and reported quality of decision-making outcomes. Two reviewers independently screened citations for inclusion criteria, extracted data, and assessed risk of bias. Using a random-effects model, meta-analyses were conducted pooling results using mean differences (MD), standardized mean differences (SMD), and relative risks (RR). Of 2406 unique citations, 7 randomized controlled trials met the inclusion criteria. For risk of bias, selective outcome reporting and participant/personnel blinding were mostly rated as unclear due to inadequate reporting. Based on seven items, two studies had high risk of bias for one item. Compared to usual care, Web-based decision aids increased knowledge (SMD 0.46; 95% CI 0.18-0.75), reduced decisional conflict (MD -7.07%; 95% CI -9.44 to -4.71), and reduced the practitioner control role in the decision-making process (RR 0.50; 95% CI 0.31-0.81). Web-based decision aids compared to printed decision aids yielded no differences in knowledge, decisional conflict, and participation in decision or screening behaviors. Compared to video decision aids, Web-based decision aids showed lower average knowledge scores (SMD -0.50; 95% CI -0.88 to -0.12) and a slight decrease in prostate-specific antigen screening (RR 1.12; 95% CI 1.01-1.25). According to this analysis, Web-based decision aids performed similarly to alternative formats (ie, printed, video) for the assessed decision-quality outcomes. The low cost, readiness, availability, and anonymity of the Web can be an advantage for increasing access to decision aids that support prostate cancer screening decisions among men. ©Sofia Baptista, Elvira Teles Sampaio, Bruno Heleno, Luís Filipe Azevedo, Carlos Martins. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 26.06.2018.

An evidence-based shared decision making programme on the prevention of myocardial infarction in type 2 diabetes: protocol of a randomised-controlled trial.

PubMed

Buhse, Susanne; Heller, Tabitha; Kasper, Jürgen; Mühlhauser, Ingrid; Müller, Ulrich Alfons; Lehmann, Thomas; Lenz, Matthias

2013-10-19

Lack of patient involvement in decision making has been suggested as one reason for limited treatment success. Concepts such as shared decision making may contribute to high quality healthcare by supporting patients to make informed decisions together with their physicians.A multi-component shared decision making programme on the prevention of heart attack in type 2 diabetes has been developed. It aims at improving the quality of decision-making by providing evidence-based patient information, enhancing patients' knowledge, and supporting them to actively participate in decision-making. In this study the efficacy of the programme is evaluated in the setting of a diabetes clinic. A single blinded randomised-controlled trial is conducted to compare the shared decision making programme with a control-intervention. The intervention consists of an evidence-based patient decision aid on the prevention of myocardial infarction and a corresponding counselling module provided by diabetes educators. Similar in duration and structure, the control-intervention targets nutrition, sports, and stress coping. A total of 154 patients between 40 and 69 years of age with type 2 diabetes and no previous diagnosis of ischaemic heart disease or stroke are enrolled and allocated either to the intervention or the control-intervention. Primary outcome measure is the patients' knowledge on benefits and harms of heart attack prevention captured by a standardised knowledge test. Key secondary outcome measure is the achievement of treatment goals prioritised by the individual patient. Treatment goals refer to statin taking, HbA1c-, blood pressure levels and smoking status. Outcomes are assessed directly after the counselling and at 6 months follow-up. Analyses will be carried out on intention-to-treat basis. Concurrent qualitative methods are used to explore intervention fidelity and to gain insight into implementation processes. Interventions to facilitate evidence-based shared decision making represent an innovative approach in diabetes care. The results of this study will provide information on the efficacy of such a concept in the setting of a diabetes clinic in Germany. ISRCTN84636255.

Producing More Actionable Science Isn't the Problem; It's Providing Decision-Makers with Access to Right Actionable Knowledge

NASA Astrophysics Data System (ADS)

Trexler, M.

2017-12-01

Policy-makers today have almost infinite climate-relevant scientific and other information available to them. The problem for climate change decision-making isn't missing science or inadequate knowledge of climate risks; the problem is that the "right" climate change actionable knowledge isn't getting to the right decision-maker, or is getting there too early or too late to effectively influence her decision-making. Actionable knowledge is not one-size-fit-all, and for a given decision-maker might involve scientific, economic, or risk-based information. Simply producing more and more information as we are today is not the solution, and actually makes it harder for individual decision-makers to access "their" actionable knowledge. The Climatographers began building the Climate Web five years ago to test the hypothesis that a knowledge management system could help navigate the gap between infinite information and individual actionable knowledge. Today the Climate Web's more than 1,500 index terms allow instant access to almost any climate change topic. It is a curated public-access knowledgebase of more than 1,000 books, 2,000 videos, 15,000 reports and articles, 25,000 news stories, and 3,000 websites. But it is also much more, linking together tens of thousands of individually extracted ideas and graphics, and providing Deep Dives into more than 100 key topics from changing probability distributions of extreme events to climate communications best practices to cognitive dissonance in climate change decision-making. The public-access Climate Web is uniquely able to support cross-silo learning, collaboration, and actionable knowledge dissemination. The presentation will use the Climate Web to demonstrate why knowledge management should be seen as a critical component of science and policy-making collaborations.

The role (or not) of economic evaluation at the micro level: can Bourdieu's theory provide a way forward for clinical decision-making?

PubMed

Lessard, Chantale; Contandriopoulos, André-Pierre; Beaulieu, Marie-Dominique

2010-06-01

Despite increasing interest in health economic evaluation, investigations have shown limited use by micro (clinical) level decision-makers. A considerable amount of health decisions take place daily at the point of the clinical encounter; especially in primary care. Since every decision has an opportunity cost, ignoring economic information in family physicians' (FPs) decision-making may have a broad impact on health care efficiency. Knowledge translation of economic evaluation is often based on taken-for-granted assumptions about actors' interests and interactions, neglecting much of the complexity of social reality. Health economics literature frequently assumes a rational and linear decision-making process. Clinical decision-making is in fact a complex social, dynamic, multifaceted process, involving relationships and contextual embeddedness. FPs are embedded in complex social networks that have a significant impact on skills, attitudes, knowledge, practices, and on the information being used. Because of their socially constructed nature, understanding preferences, professional culture, practices, and knowledge translation requires serious attention to social reality. There has been little exploration by health economists of whether the problem may be more fundamental and reside in a misunderstanding of the process of decision-making. There is a need to enhance our understanding of the role of economic evaluation in decision-making from a disciplinary perspective different than health economics. This paper argues for a different conceptualization of the role of economic evaluation in FPs' decision-making, and proposes Bourdieu's sociological theory as a research framework. Bourdieu's theory of practice illustrates how the context-sensitive nature of practice must be understood as a socially constituted practical knowledge. The proposed approach could substantially contribute to a more complex understanding of the role of economic evaluation in FPs' decision-making. Copyright 2010 Elsevier Ltd. All rights reserved.

Newly graduated nurses' use of knowledge sources in clinical decision-making: an ethnographic study.

PubMed

Voldbjerg, Siri Lygum; Grønkjaer, Mette; Wiechula, Rick; Sørensen, Erik Elgaard

2017-05-01

To explore which knowledge sources newly graduated nurses' use in clinical decision-making and why and how they are used. In spite of an increased educational focus on skills and competencies within evidence-based practice, newly graduated nurses' ability to use components within evidence-based practice with a conscious and reflective use of research evidence has been described as being poor. To understand why, it is relevant to explore which other knowledge sources are used. This may shed light on why research evidence is sparsely used and ultimately inform approaches to strengthen the knowledgebase used in clinical decision-making. Ethnographic study using participant-observation and individual semistructured interviews of nine Danish newly graduated nurses in medical and surgical hospital settings. Newly graduates use of knowledge sources was described within three main structures: 'other', 'oneself' and 'gut feeling'. Educational preparation, transition into clinical practice and the culture of the setting influenced the knowledge sources used. The sources ranged from overt easily articulated knowledge sources to covert sources that were difficult to articulate. The limited articulation of certain sources inhibited the critical reflection on the reasoning behind decisions. Reflection is a prerequisite for an evidence-based practice where decisions should be transparent in order to consider if other evidentiary sources could be used. Although there is a complexity and variety to knowledge sources used, there is an imbalance with the experienced nurse playing a key role, functioning both as predominant source and a role model as to which sources are valued and used in clinical decision-making. If newly graduates are to be supported in an articulate and reflective use of a variety of sources, they have to be allocated to experienced nurses who model a reflective, articulate and balanced use of knowledge sources. © 2016 John Wiley & Sons Ltd.

The Two-Communities Theory and Knowledge Utilization.

ERIC Educational Resources Information Center

Caplan, Nathan

1979-01-01

Discusses strategies to improve policy makers' utilization of research based on the "two-communities" theory that social scientists and policy makers live in two different worlds. Notes that for high level decision making, collaboration must involve more general problems and a decision to use either data-based or nonresearch knowledge for solving…

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…

Evidence, research, knowledge: a call for conceptual clarity.

PubMed

Scott-Findlay, Shannon; Pollock, Carolee

2004-01-01

To dispel some of the conceptual confusion in the field of evidence-based practice that has resulted from the overlapping use of the terms research, evidence, and knowledge. Theoretical discussion. Often the terms research and knowledge are used as synonyms for evidence, but the overlap is never complete. The term evidence has long been understood to mean the findings of research. Recent attempts to broaden the definition of evidence to include clinical experience and experiential knowledge have been misguided. Broadening our understanding of the basis for clinical decision making and conceptualizing evidence are quite different tasks. Other factors (not other forms of evidence) do shape the clinical decision-making process, but they are not evidence. We might better term them knowledge. Confusing evidence with these other factors has hindered research and the improvement of clinical decision making in health care. We argue that this confusion results from the use of the term evidence when we really mean either research findings or knowledge. In this article, we have argued for specificity in the use of the term evidence. We urge the restriction of the term evidence to research findings, and while we acknowledge the importance of other influences on the clinical decision-making process, we insist that they are not evidence. The time has come to value personal experience and experiential knowledge for what they are-we should not have to disguise them as types of evidence for them to be deemed of any value. Being specific to language, the goal is to improve clinical decision making by increasing practitioners' reliance on research findings (evidence) while acknowledging (and valuing) the important part played by other forms of knowledge in the decision-making process. The distinctions are important.

Enhancing Learning Outcomes with an Interactive Knowledge-Based Learning Environment Providing Narrative Feedback

ERIC Educational Resources Information Center

Stranieri, Andrew; Yearwood, John

2008-01-01

This paper describes a narrative-based interactive learning environment which aims to elucidate reasoning using interactive scenarios that may be used in training novices in decision-making. Its design is based on an approach to generating narrative from knowledge that has been modelled in specific decision/reasoning domains. The approach uses a…

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.

Developing an Initial Learning Progression for the Use of Evidence in Decision-Making Contexts

ERIC Educational Resources Information Center

Bravo-Torija, Beatriz; Jiménez-Aleixandre, María-Pilar

2018-01-01

This paper outlines an initial learning progression for the use of evidence to support scientific arguments in the context of decision-making. Use of evidence is a central feature of knowledge evaluation and, therefore, of argumentation. The proposal is based on the literature on argumentation and use of evidence in decision-making contexts. The…

Somatic Markers and Explicit Knowledge Are both Involved in Decision-Making

ERIC Educational Resources Information Center

Guillaume, Sebastien; Jollant, Fabrice; Jaussent, Isabelle; Lawrence, Natalia; Malafosse, Alain; Courtet, Philippe

2009-01-01

In 1994, it was proposed that decision-making requires emotion-related signals, known as somatic markers. In contrast, some authors argued that conscious knowledge of contingencies is sufficient for advantageous decision-making. We aimed to investigate the respective roles of somatic markers and explicit knowledge in decision-making. Thirty…

Knowledge and decision-making for labour analgesia of Australian primiparous women.

PubMed

Raynes-Greenow, Camille H; Roberts, Christine L; McCaffery, Kirsten; Clarke, Judith

2007-06-01

to assess and investigate knowledge of labour pain management options and decision-making among primiparous women. a semi-structured guide was used in focus groups to gather pregnant women's knowledge concerning labour analgesia. Attitudes to labour and pain relief, knowledge of pain relief, trustworthiness of knowledge sources, and plans and expectations for labour pain relief were investigated. a major tertiary obstetric hospital in metropolitan Sydney, Australia. twenty five primiparous women, who were 25 weeks or more gestation, and planning a vaginal birth. although women considered themselves knowledgeable, they were unable to describe labour analgesic risks or benefits. There was a large discrepancy between perception and actual knowledge. The main source of knowledge was anecdotal information. Late in pregnancy was considered the ideal time to be given information about labour analgesia. Women described their labour pain relief plans as flexible in relation to their labour circumstances; however, most women wanted to take an active role in decision-making. the large discrepancy between perceived knowledge and actual knowledge of the likely consequences of labour analgesia suggests that women rely too heavily on anecdotal information. clinicians should be aware that some women overestimate their knowledge and understanding of analgesic options, which is often based on anecdotal information. Standardised labour analgesia information at an appropriate time in their pregnancy may benefit some women and assist health-care providers and women to practice shared decision-making.

Knowledge Management Implementation and the Tools Utilized in Healthcare for Evidence-Based Decision Making: A Systematic Review.

PubMed

Shahmoradi, Leila; Safadari, Reza; Jimma, Worku

2017-09-01

Healthcare is a knowledge driven process and thus knowledge management and the tools to manage knowledge in healthcare sector are gaining attention. The aim of this systematic review is to investigate knowledge management implementation and knowledge management tools used in healthcare for informed decision making. Three databases, two journals websites and Google Scholar were used as sources for the review. The key terms used to search relevant articles include: "Healthcare and Knowledge Management"; "Knowledge Management Tools in Healthcare" and "Community of Practices in healthcare". It was found that utilization of knowledge management in healthcare is encouraging. There exist numbers of opportunities for knowledge management implementation, though there are some barriers as well. Some of the opportunities that can transform healthcare are advances in health information and communication technology, clinical decision support systems, electronic health record systems, communities of practice and advanced care planning. Providing the right knowledge at the right time, i.e., at the point of decision making by implementing knowledge management in healthcare is paramount. To do so, it is very important to use appropriate tools for knowledge management and user-friendly system because it can significantly improve the quality and safety of care provided for patients both at hospital and home settings.

Instructional Design as Knowledge Management: A Knowledge-in-Practice Approach to Choosing Instructional Methods

ERIC Educational Resources Information Center

McIver, Derrick; Fitzsimmons, Stacey; Flanagan, David

2016-01-01

Decisions about instructional methods are becoming more complex, with options ranging from problem sets to experiential service-learning projects. However, instructors not trained in instructional design may make these important decisions based on convenience, comfort, or trends. Instead, this article draws on the knowledge management literature…

Beyond decision making: class, community organizations, and the healthwork of people living with HIV/AIDS. Contributions from institutional ethnographic research.

PubMed

Mykhalovskiy, Eric

2008-01-01

The consolidation of antiretroviral therapy as the primary biomedical response to HIV infection in the global North has occasioned a growing interest in the health decision making of people living with HIV (PHAs). This interest is burdened by the weight of a behaviorist theoretical orientation that limits decision making to individual acts of rational choice. This article offers an alternative way to understand how PHAs come to take (or not take) biomedical treatments. Drawing on institutional ethnographic research conducted in Toronto, Canada, it explores how the "healthwork" of coming to take (or not take) treatments is organized by extended relations of biomedical knowledge. The article focuses on two aspects of the knowledge relations of coming to take pharmaceutical medications that transcend the conceptual and relational terrain of rational decision-making perspectives. First, it explores disjunctures between the everyday healthwork of poor, socially marginalized PHAs and the terms of biomedical decision making. Second, it investigates the knowledge-mediating activities of community-based organizations that help mitigate those disjunctures.

Eyes on the prize: reflections on the impact of the evolving digital ecology on the librarian as expert intermediary and knowledge coach, 1969-2009.

PubMed

Homan, J Michael

2010-01-01

The 2009 Janet Doe Lecture reflects on the continuing value and increasing return on investment of librarian-mediated services in the constantly evolving digital ecology and complex knowledge environment of the health sciences. The interrelationship of knowledge, decision making based on knowledge, technology used to access and retrieve knowledge, and the important linkage roles of expert librarian intermediaries is examined. Professional experiences from 1969 to 2009, occurring during a time of unprecedented changes in the digital ecology of librarianship, are the base on which the evolving role and value of librarians as knowledge coaches and expert intermediaries are examined. Librarian-mediated services linking knowledge and critical decision making in health care have become more valuable than ever as technology continues to reshape an increasingly complex knowledge environment.

PSYCHE: An Object-Oriented Approach to Simulating Medical Education

PubMed Central

Mullen, Jamie A.

1990-01-01

Traditional approaches to computer-assisted instruction (CAI) do not provide realistic simulations of medical education, in part because they do not utilize heterogeneous knowledge bases for their source of domain knowledge. PSYCHE, a CAI program designed to teach hypothetico-deductive psychiatric decision-making to medical students, uses an object-oriented implementation of an intelligent tutoring system (ITS) to model the student, domain expert, and tutor. It models the transactions between the participants in complex transaction chains, and uses heterogeneous knowledge bases to represent both domain and procedural knowledge in clinical medicine. This object-oriented approach is a flexible and dynamic approach to modeling, and represents a potentially valuable tool for the investigation of medical education and decision-making.

Decision support systems in health economics.

PubMed

Quaglini, S; Dazzi, L; Stefanelli, M; Barosi, G; Marchetti, M

1999-08-01

This article describes a system addressed to different health care professionals for building, using, and sharing decision support systems for resource allocation. The system deals with selected areas, namely the choice of diagnostic tests, the therapy planning, and the instrumentation purchase. Decision support is based on decision-analytic models, incorporating an explicit knowledge representation of both the medical domain knowledge and the economic evaluation theory. Application models are built on top of meta-models, that are used as guidelines for making explicit both the cost and effectiveness components. This approach improves the transparency and soundness of the collaborative decision-making process and facilitates the result interpretation.

Hemispheric Activation Differences in Novice and Expert Clinicians during Clinical Decision Making

ERIC Educational Resources Information Center

Hruska, Pam; Hecker, Kent G.; Coderre, Sylvain; McLaughlin, Kevin; Cortese, Filomeno; Doig, Christopher; Beran, Tanya; Wright, Bruce; Krigolson, Olav

2016-01-01

Clinical decision making requires knowledge, experience and analytical/non-analytical types of decision processes. As clinicians progress from novice to expert, research indicates decision-making becomes less reliant on foundational biomedical knowledge and more on previous experience. In this study, we investigated how knowledge and experience…

Event-based knowledge elicitation of operating room management decision-making using scenarios adapted from information systems data

PubMed Central

2011-01-01

Background No systematic process has previously been described for a needs assessment that identifies the operating room (OR) management decisions made by the anesthesiologists and nurse managers at a facility that do not maximize the efficiency of use of OR time. We evaluated whether event-based knowledge elicitation can be used practically for rapid assessment of OR management decision-making at facilities, whether scenarios can be adapted automatically from information systems data, and the usefulness of the approach. Methods A process of event-based knowledge elicitation was developed to assess OR management decision-making that may reduce the efficiency of use of OR time. Hypothetical scenarios addressing every OR management decision influencing OR efficiency were created from published examples. Scenarios are adapted, so that cues about conditions are accurate and appropriate for each facility (e.g., if OR 1 is used as an example in a scenario, the listed procedure is a type of procedure performed at the facility in OR 1). Adaptation is performed automatically using the facility's OR information system or anesthesia information management system (AIMS) data for most scenarios (43 of 45). Performing the needs assessment takes approximately 1 hour of local managers' time while they decide if their decisions are consistent with the described scenarios. A table of contents of the indexed scenarios is created automatically, providing a simple version of problem solving using case-based reasoning. For example, a new OR manager wanting to know the best way to decide whether to move a case can look in the chapter on "Moving Cases on the Day of Surgery" to find a scenario that describes the situation being encountered. Results Scenarios have been adapted and used at 22 hospitals. Few changes in decisions were needed to increase the efficiency of use of OR time. The few changes were heterogeneous among hospitals, showing the usefulness of individualized assessments. Conclusions Our technical advance is the development and use of automated event-based knowledge elicitation to identify suboptimal OR management decisions that decrease the efficiency of use of OR time. The adapted scenarios can be used in future decision-making. PMID:21214905

Event-based knowledge elicitation of operating room management decision-making using scenarios adapted from information systems data.

PubMed

Dexter, Franklin; Wachtel, Ruth E; Epstein, Richard H

2011-01-07

No systematic process has previously been described for a needs assessment that identifies the operating room (OR) management decisions made by the anesthesiologists and nurse managers at a facility that do not maximize the efficiency of use of OR time. We evaluated whether event-based knowledge elicitation can be used practically for rapid assessment of OR management decision-making at facilities, whether scenarios can be adapted automatically from information systems data, and the usefulness of the approach. A process of event-based knowledge elicitation was developed to assess OR management decision-making that may reduce the efficiency of use of OR time. Hypothetical scenarios addressing every OR management decision influencing OR efficiency were created from published examples. Scenarios are adapted, so that cues about conditions are accurate and appropriate for each facility (e.g., if OR 1 is used as an example in a scenario, the listed procedure is a type of procedure performed at the facility in OR 1). Adaptation is performed automatically using the facility's OR information system or anesthesia information management system (AIMS) data for most scenarios (43 of 45). Performing the needs assessment takes approximately 1 hour of local managers' time while they decide if their decisions are consistent with the described scenarios. A table of contents of the indexed scenarios is created automatically, providing a simple version of problem solving using case-based reasoning. For example, a new OR manager wanting to know the best way to decide whether to move a case can look in the chapter on "Moving Cases on the Day of Surgery" to find a scenario that describes the situation being encountered. Scenarios have been adapted and used at 22 hospitals. Few changes in decisions were needed to increase the efficiency of use of OR time. The few changes were heterogeneous among hospitals, showing the usefulness of individualized assessments. Our technical advance is the development and use of automated event-based knowledge elicitation to identify suboptimal OR management decisions that decrease the efficiency of use of OR time. The adapted scenarios can be used in future decision-making.

Investigation and design of a Project Management Decision Support System for the 4950th Test Wing.

DTIC Science & Technology

1986-03-01

all decision makers is the need for memory aids (reports, hand written notes, mental memory joggers, etc.). 4. Even in similar decision making ... memories to synthesize a decision- making process based on their individual styles, skills, and knowledge (Sprague, 1982: 106). Control mechanisms...representations shown in Figures 4.9 and 4.10 provide a means to this objective. By enabling a manager to make and record reasonable changes to

Expert Knowledge-Based Automatic Sleep Stage Determination by Multi-Valued Decision Making Method

NASA Astrophysics Data System (ADS)

Wang, Bei; Sugi, Takenao; Kawana, Fusae; Wang, Xingyu; Nakamura, Masatoshi

In this study, an expert knowledge-based automatic sleep stage determination system working on a multi-valued decision making method is developed. Visual inspection by a qualified clinician is adopted to obtain the expert knowledge database. The expert knowledge database consists of probability density functions of parameters for various sleep stages. Sleep stages are determined automatically according to the conditional probability. Totally, four subjects were participated. The automatic sleep stage determination results showed close agreements with the visual inspection on sleep stages of awake, REM (rapid eye movement), light sleep and deep sleep. The constructed expert knowledge database reflects the distributions of characteristic parameters which can be adaptive to variable sleep data in hospitals. The developed automatic determination technique based on expert knowledge of visual inspection can be an assistant tool enabling further inspection of sleep disorder cases for clinical practice.

The Evolution of an Interprofessional Shared Decision-Making Research Program: Reflective Case Study of an Emerging Paradigm

PubMed Central

Menear, Matthew; Stacey, Dawn; Brière, Nathalie; Légaré, France

2016-01-01

Introduction: Healthcare research increasingly focuses on interprofessional collaboration and on shared decision making, but knowledge gaps remain about effective strategies for implementing interprofessional collaboration and shared decision-making together in clinical practice. We used Kuhn’s theory of scientific revolutions to reflect on how an integrated interprofessional shared decision-making approach was developed and implemented over time. Methods: In 2007, an interdisciplinary team initiated a new research program to promote the implementation of an interprofessional shared decision-making approach in clinical settings. For this reflective case study, two new team members analyzed the team’s four projects, six research publications, one unpublished and two published protocols and organized them into recognizable phases according to Kuhn’s theory. Results: The merging of two young disciplines led to challenges characteristic of emerging paradigms. Implementation of interprofessional shared-decision making was hindered by a lack of conceptual clarity, a dearth of theories and models, little methodological guidance, and insufficient evaluation instruments. The team developed a new model, identified new tools, and engaged knowledge users in a theory-based approach to implementation. However, several unresolved challenges remain. Discussion: This reflective case study sheds light on the evolution of interdisciplinary team science. It offers new approaches to implementing emerging knowledge in the clinical context. PMID:28435417

The Evolution of an Interprofessional Shared Decision-Making Research Program: Reflective Case Study of an Emerging Paradigm.

PubMed

Dogba, Maman Joyce; Menear, Matthew; Stacey, Dawn; Brière, Nathalie; Légaré, France

2016-07-19

Healthcare research increasingly focuses on interprofessional collaboration and on shared decision making, but knowledge gaps remain about effective strategies for implementing interprofessional collaboration and shared decision-making together in clinical practice. We used Kuhn's theory of scientific revolutions to reflect on how an integrated interprofessional shared decision-making approach was developed and implemented over time. In 2007, an interdisciplinary team initiated a new research program to promote the implementation of an interprofessional shared decision-making approach in clinical settings. For this reflective case study, two new team members analyzed the team's four projects, six research publications, one unpublished and two published protocols and organized them into recognizable phases according to Kuhn's theory. The merging of two young disciplines led to challenges characteristic of emerging paradigms. Implementation of interprofessional shared-decision making was hindered by a lack of conceptual clarity, a dearth of theories and models, little methodological guidance, and insufficient evaluation instruments. The team developed a new model, identified new tools, and engaged knowledge users in a theory-based approach to implementation. However, several unresolved challenges remain. This reflective case study sheds light on the evolution of interdisciplinary team science. It offers new approaches to implementing emerging knowledge in the clinical context.

Teachers' Funds of Knowledge: A Challenge to Evidence-Based Practice

ERIC Educational Resources Information Center

Hedges, Helen

2012-01-01

The spontaneous nature of much early childhood teaching makes it vital to understand the range of knowledge that teachers draw on in their curricular and pedagogical decision-making. Hammersley argued that teaching practice cannot be based directly on research evidence because it needs to be filtered through teachers' experiences and…

Shared decision making in chronic care in the context of evidence based practice in nursing.

PubMed

Friesen-Storms, Jolanda H H M; Bours, Gerrie J J W; van der Weijden, Trudy; Beurskens, Anna J H M

2015-01-01

In the decision-making environment of evidence-based practice, the following three sources of information must be integrated: research evidence of the intervention, clinical expertise, and the patient's values. In reality, evidence-based practice usually focuses on research evidence (which may be translated into clinical practice guidelines) and clinical expertise without considering the individual patient's values. The shared decision-making model seems to be helpful in the integration of the individual patient's values in evidence-based practice. We aim to discuss the relevance of shared decision making in chronic care and to suggest how it can be integrated with evidence-based practice in nursing. We start by describing the following three possible approaches to guide the decision-making process: the paternalistic approach, the informed approach, and the shared decision-making approach. Implementation of shared decision making has gained considerable interest in cases lacking a strong best-treatment recommendation, and when the available treatment options are equivalent to some extent. We discuss that in chronic care it is important to always invite the patient to participate in the decision-making process. We delineate the following six attributes of health care interventions in chronic care that influence the degree of shared decision making: the level of research evidence, the number of available intervention options, the burden of side effects, the impact on lifestyle, the patient group values, and the impact on resources. Furthermore, the patient's willingness to participate in shared decision making, the clinical expertise of the nurse, and the context in which the decision making takes place affect the shared decision-making process. A knowledgeable and skilled nurse with a positive attitude towards shared decision making—integrated with evidence-based practice—can facilitate the shared decision-making process. We conclude that nurses as well as other health care professionals in chronic care should integrate shared decision making with evidence-based practice to deliver patient-centred care. Copyright © 2014 Elsevier Ltd. All rights reserved.

Assessing an AI knowledge-base for asymptomatic liver diseases.

PubMed

Babic, A; Mathiesen, U; Hedin, K; Bodemar, G; Wigertz, O

1998-01-01

Discovering not yet seen knowledge from clinical data is of importance in the field of asymptomatic liver diseases. Avoidance of liver biopsy which is used as the ultimate confirmation of diagnosis by making the decision based on relevant laboratory findings only, would be considered an essential support. The system based on Quinlan's ID3 algorithm was simple and efficient in extracting the sought knowledge. Basic principles of applying the AI systems are therefore described and complemented with medical evaluation. Some of the diagnostic rules were found to be useful as decision algorithms i.e. they could be directly applied in clinical work and made a part of the knowledge-base of the Liver Guide, an automated decision support system.

Research-based-decision-making in Canadian health organizations: a behavioural approach.

PubMed

Jbilou, Jalila; Amara, Nabil; Landry, Réjean

2007-06-01

Decision making in Health sector is affected by a several elements such as economic constraints, political agendas, epidemiologic events, managers' values and environment... These competing elements create a complex environment for decision making. Research-Based-Decision-Making (RBDM) offers an opportunity to reduce the generated uncertainty and to ensure efficacy and efficiency in health administrations. We assume that RBDM is dependant on decision makers' behaviour and the identification of the determinants of this behaviour can help to enhance research results utilization in health sector decision making. This paper explores the determinants of RBDM as a personal behaviour among managers and professionals in health administrations in Canada. From the behavioural theories and the existing literature, we build a model measuring "RBDM" as an index based on five items. These items refer to the steps accomplished by a decision maker while developing a decision which is based on evidence. The determinants of RBDM behaviour are identified using data collected from 942 health care decision makers in Canadian health organizations. Linear regression is used to model the behaviour RBDM. Determinants of this behaviour are derived from Triandis Theory and Bandura's construct "self-efficacy." The results suggest that to improve research use among managers in Canadian governmental health organizations, strategies should focus on enhancing exposition to evidence through facilitating communication networks, partnerships and links between researchers and decision makers, with the key long-term objective of developing a culture that supports and values the contribution that research can make to decision making in governmental health organizations. Nevertheless, depending on the organizational level, determinants of RBDM are different. This difference has to be taken into account if RBDM adoption is desired. Decision makers in Canadian health organizations (CHO) can help to build networks, develop partnerships between professionals locally, regionally and nationally, and also act as change agents in the dissemination and adoption of knowledge and innovations in health services. However, the research focused on knowledge use as a support to decision-making, further research is needed to identify and evaluate effective incentives and strategies to implement so as to enhance RBDM adoption among health decision makers and more theoretical development are to complete in this perspective.

Eyes on the prize: reflections on the impact of the evolving digital ecology on the librarian as expert intermediary and knowledge coach, 1969–2009*

PubMed Central

Homan, J. Michael

2010-01-01

Objective: The 2009 Janet Doe Lecture reflects on the continuing value and increasing return on investment of librarian-mediated services in the constantly evolving digital ecology and complex knowledge environment of the health sciences. Setting: The interrelationship of knowledge, decision making based on knowledge, technology used to access and retrieve knowledge, and the important linkage roles of expert librarian intermediaries is examined. Methodology: Professional experiences from 1969 to 2009, occurring during a time of unprecedented changes in the digital ecology of librarianship, are the base on which the evolving role and value of librarians as knowledge coaches and expert intermediaries are examined. Conclusion: Librarian-mediated services linking knowledge and critical decision making in health care have become more valuable than ever as technology continues to reshape an increasingly complex knowledge environment. PMID:20098655

Developing a geoscience knowledge framework for a national geological survey organisation

NASA Astrophysics Data System (ADS)

Howard, Andrew S.; Hatton, Bill; Reitsma, Femke; Lawrie, Ken I. G.

2009-04-01

Geological survey organisations (GSOs) are established by most nations to provide a geoscience knowledge base for effective decision-making on mitigating the impacts of natural hazards and global change, and on sustainable management of natural resources. The value of the knowledge base as a national asset is continually enhanced by the exchange of knowledge between GSOs as data and information providers and the stakeholder community as knowledge 'users and exploiters'. Geological maps and associated narrative texts typically form the core of national geoscience knowledge bases, but have some inherent limitations as methods of capturing and articulating knowledge. Much knowledge about the three-dimensional (3D) spatial interpretation and its derivation and uncertainty, and the wider contextual value of the knowledge, remains intangible in the minds of the mapping geologist in implicit and tacit form. To realise the value of these knowledge assets, the British Geological Survey (BGS) has established a workflow-based cyber-infrastructure to enhance its knowledge management and exchange capability. Future geoscience surveys in the BGS will contribute to a national, 3D digital knowledge base on UK geology, with the associated implicit and tacit information captured as metadata, qualitative assessments of uncertainty, and documented workflows and best practice. Knowledge-based decision-making at all levels of society requires both the accessibility and reliability of knowledge to be enhanced in the grid-based world. Establishment of collaborative cyber-infrastructures and ontologies for geoscience knowledge management and exchange will ensure that GSOs, as knowledge-based organisations, can make their contribution to this wider goal.

IONIO Project: Computer-mediated Decision Support System and Communication in Ocean Science

NASA Astrophysics Data System (ADS)

Oddo, Paolo; Acierno, Arianna; Cuna, Daniela; Federico, Ivan; Galati, Maria Barbara; Awad, Esam; Korres, Gerasimos; Lecci, Rita; Manzella, Giuseppe M. R.; Merico, Walter; Perivoliotis, Leonidas; Pinardi, Nadia; Shchekinova, Elena; Mannarini, Gianandrea; Vamvakaki, Chrysa; Pecci, Leda; Reseghetti, Franco

2013-04-01

A decision Support System is composed by four main steps. The first one is the definition of the problem, the issue to be covered, decisions to be taken. Different causes can provoke different problems, for each of the causes or its effects it is necessary to define a list of information and/or data that are required in order to take the better decision. The second step is the determination of sources from where information/data needed for decision-making can be obtained and who has that information. Furthermore it must be possible to evaluate the quality of the sources to see which of them can provide the best information, and identify the mode and format in which the information is presented. The third step is relying on the processing of knowledge, i.e. if the information/data are fitting for purposes. It has to be decided which parts of the information/data need to be used, what additional data or information is necessary to access, how can information be best presented to be able to understand the situation and take decisions. Finally, the decision making process is an interactive and inclusive process involving all concerned parties, whose different views must be taken into consideration. A knowledge based discussion forum is necessary to reach a consensus. A decision making process need to be examined closely and refined, and modified to meet differing needs over time. The report is presenting legal framework and knowledge base for a scientific based decision support system and a brief exploration of some of the skills that enhances the quality of decisions taken.

Impact of a Lung Cancer Screening Counseling and Shared Decision-Making Visit.

PubMed

Mazzone, Peter J; Tenenbaum, Amanda; Seeley, Meredith; Petersen, Hilary; Lyon, Christina; Han, Xiaozhen; Wang, Xiao-Feng

2017-03-01

Lung cancer screening is a complex balance of benefits and harms. A counseling and shared decision-making visit has been mandated to assist patients with the decision about participation in screening. To our knowledge, the impact of this visit on patient understanding and decisions has not been studied. We developed a centralized counseling and shared decision-making visit for our lung cancer screening program. The visit included confirmation of eligibility for screening, education supported by a narrated slide show, individualized risk assessment with a decision aid, time for answering questions, and data collection. We surveyed consecutive patients prior to the visit, immediately after the visit, and 1 month after the visit to determine the impact of the visit on their knowledge. Twenty-three of 423 patients (5.4%) who had a visit did not proceed to the screening CT scan. One hundred twenty-five consecutive patients completed the initial survey, 122 completed the postvisit survey, and 113 completed the 1-month follow-up survey. Prior to the visit, the patients had a poor level of understanding about the age and smoking eligibility criteria (8.8% and 13.6% correct, respectively) and the benefits and harms of screening (55.2% and 38.4% correct, respectively). There was a significant improvement in knowledge noted after the visit for all questions (P = .03 to P < .0001). Knowledge waned by the 1-month follow-up but remained higher than it was before the visit. A centralized counseling and shared decision-making visit impacts the patient's knowledge about the eligibility criteria, benefits, and harms of lung cancer screening with LDCT, helping patients make value-based decisions. Copyright © 2016 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.

Basic physiological systems indicator's informative assessment for children and adolescents obesity diagnosis tasks

NASA Astrophysics Data System (ADS)

Marukhina, O. V.; Berestneva, O. G.; Emelyanova, Yu A.; Romanchukov, S. V.; Petrova, L.; Lombardo, C.; Kozlova, N. V.

2018-05-01

The healthcare computerization creates opportunities to the clinical decision support system development. In the course of diagnosis, doctor manipulates a considerable amount of data and makes a decision in the context of uncertainty basing upon the first-hand experience and knowledge. The situation is exacerbated by the fact that the knowledge scope in medicine is incrementally growing, but the decision-making time does not increase. The amount of medical malpractice is growing and it leads to various negative effects, even the mortality rate increase. IT-solution's development for clinical purposes is one of the most promising and efficient ways to prevent these effects. That is why the efforts of many IT specialists are directed to the doctor's heuristics simulating software or expert-based medical decision-making algorithms development. Thus, the objective of this study is to develop techniques and approaches for the body physiological system's informative value assessment index for the obesity degree evaluation based on the diagnostic findings.

An evaluation of learning clinical decision-making for early rehabilitation in the ICU via interactive education with audience response system.

PubMed

Toonstra, Amy L; Nelliot, Archana; Aronson Friedman, Lisa; Zanni, Jennifer M; Hodgson, Carol; Needham, Dale M

2017-06-01

Knowledge-related barriers to safely implement early rehabilitation programs in intensive care units (ICUs) may be overcome via targeted education. The purpose of this study was to evaluate the effectiveness of an interactive educational session on short-term knowledge of clinical decision-making for safe rehabilitation of patients in ICUs. A case-based teaching approach, drawing from published safety recommendations for initiation of rehabilitation in ICUs, was used with a multidisciplinary audience. An audience response system was incorporated to promote interaction and evaluate knowledge before vs. after the educational session. Up to 175 audience members, of 271 in attendance (129 (48%) physical therapists, 51 (19%) occupational therapists, 31 (11%) nursing, 14 (5%) physician, 46 (17%) other), completed both the pre- and post-test questions for each of the six unique patient cases. In four of six patient cases, there was a significant (p< 0.001) increase in identifying the correct answer regarding initiation of rehabilitation activities. This learning effect was similar irrespective of participants' years of experience and clinical discipline. An interactive, case-based, educational session may be effective for increasing short-term knowledge, and identifying knowledge gaps, regarding clinical decision-making for safe rehabilitation of patients in ICUs. Implications for Rehabilitation Lack of knowledge regarding the safety considerations for early rehabilitation of ICU patients is a barrier to implementing early rehabilitation. Interactive educational formats, such as the use of audience response systems, offer a new method of teaching and instantly assessing learning of clinically important information. In a small study, we have shown that an interactive, case-based educational format may be used to effectively teach clinical decision-making for the safe rehabilitation of ICU patients to a diverse audience of clinicians.

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).

[Treatment Decision-Making Process of Cancer Patients].

PubMed

Lee, Shiu-Yu C Katie

2016-10-01

The decision-making process that is used by cancer patients to determine their treatment has become more multi-foci, difficult and complicated in recent years. This has in part been attributed to the increasing incidence rate of cancer in Taiwan and the rapid development of medical technologies and treatment modalities. Oncology nurses must assist patients and family to make informed and value-based treatment decisions. Decision-making is an information process that involves appraising one's own expectation and values based on his/her knowledge on cancer and treatment options. Because cancer treatment involves risks and uncertainties, and impacts quality of life, the treatment decision-making for cancer is often stressful, or even conflicting. This paper discusses the decision-making behaviors of cancer patients and the decisional conflict, participation, and informational needs that are involved in cancer treatment. The trend toward shared decision-making and decisional support will be also explored in order to facilitate the future development of appropriate clinical interventions and research.

Knowledge, perceptions, and decision-making about human papillomavirus vaccination among Korean American women: A focus group study

PubMed Central

Kim, Kyounghae; Kim, Boyoung; Choi, Eunsuk; Song, Youngshin; Han, Hae-Ra

2014-01-01

Objective As one of the fastest growing ethnic minority groups in the United States, Korean American (KA) women experience a heightened cervical cancer burden. The advent of the human papillomavirus (HPV) vaccine offers an unprecedented opportunity to eliminate cervical cancer disparities in KA women. Yet, the uptake of HPV vaccine among KA adolescents remains suboptimal. Hence, we set out to explore knowledge, perceptions, and decision-making about HPV vaccination among KA women. Methods We conducted four focus groups of 26 KA women who participated in a community-based randomized controlled trial to promote breast and cervical cancer screening. Focus group data were analyzed using qualitative content analysis. Results Four main themes emerged from the focus groups: (1) limited awareness and knowledge of HPV vaccine, (2) perceptions and beliefs about HPV vaccination (acceptance, negative perceptions, ambivalence), (3) patterns of decision-making about HPV vaccination (hierarchical, peer-influenced, autonomous, and collaborative), and (4) promoting HPV education and information-sharing in the Korean community. Conclusion KA women are generally favorable toward HPV vaccination but lack awareness and knowledge about HPV. Culturally tailored HPV education programs based on KA women’s decision-making patterns and effective information-sharing by trustworthy sources in comfortable environments are suggested strategies to promote HPV vaccination in the KA community. The findings point to the need for a multi-level approach to addressing linguistic, cultural, and system barriers that the recent immigrant community faces in promoting HPV vaccinations. In the development of targeted interventions for KA women, educational strategies and patterns of decision-making need to be considered. PMID:25747518

Modelling elderly cardiac patients decision making using Cognitive Work Analysis: identifying requirements for patient decision aids.

PubMed

Dhukaram, Anandhi Vivekanandan; Baber, Chris

2015-06-01

Patients make various healthcare decisions on a daily basis. Such day-to-day decision making can have significant consequences on their own health, treatment, care, and costs. While decision aids (DAs) provide effective support in enhancing patient's decision making, to date there have been few studies examining patient's decision making process or exploring how the understanding of such decision processes can aid in extracting requirements for the design of DAs. This paper applies Cognitive Work Analysis (CWA) to analyse patient's decision making in order to inform requirements for supporting self-care decision making. This study uses focus groups to elicit information from elderly cardiovascular disease (CVD) patients concerning a range of decision situations they face on a daily basis. Specifically, the focus groups addressed issues related to the decision making of CVD in terms of medication compliance, pain, diet and exercise. The results of these focus groups are used to develop high level views using CWA. CWA framework decomposes the complex decision making problem to inform three approaches to DA design: one design based on high level requirements; one based on a normative model of decision-making for patients; and the third based on a range of heuristics that patients seem to use. CWA helps in extracting and synthesising decision making from different perspectives: decision processes, work organisation, patient competencies and strategies used in decision making. As decision making can be influenced by human behaviour like skills, rules and knowledge, it is argued that patients require support to different types of decision making. This paper also provides insights for designers in using CWA framework for the design of effective DAs to support patients in self-management. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Beyond shared decision-making: Collaboration in the age of recovery from serious mental illness.

PubMed

Treichler, Emily B H; Spaulding, William D

2017-01-01

The role that people with serious mental illness (SMI) play in making decisions about their own treatment and rehabilitation is attracting increasing attention and scrutiny. This attention is embedded in a broader social/consumer movement, the recovery movement , whose agenda includes extensive reform of the mental health system and advancing respect for the dignity and autonomy of people with SMI. Shared decision-making (SDM) is an approach for enhancing consumer participation in health-care decision-making. SDM translates straightforwardly to specific clinical procedures that systematically identify domains of decision-making and guide the practitioner and consumer through making the decisions. In addition, Collaborative decision-making (CDM) is a set of guiding principles that avoids the connotations and limitations of SDM. CDM looks broadly at the range of decisions to be made in mental health care, and assigns consumers and providers equal responsibility and power in the decision-making process. It recognizes the diverse history, knowledge base, and values of each consumer by assuming patients can lead and contribute to decision-making, contributing both value-based information and technical information. This article further discusses the importance of CDM for people with SMI. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

[Medical expert systems and clinical needs].

PubMed

Buscher, H P

1991-10-18

The rapid expansion of computer-based systems for problem solving or decision making in medicine, the so-called medical expert systems, emphasize the need for reappraisal of their indication and value. Where specialist knowledge is required, in particular where medical decisions are susceptible to error these systems will probably serve as a valuable support. In the near future computer-based systems should be able to aid the interpretation of findings of technical investigations and the control of treatment, especially where rapid reactions are necessary despite the need of complex analysis of investigated parameters. In the distant future complete support of diagnostic procedures from the history to final diagnosis is possible. It promises to be particularly attractive for the diagnosis of seldom diseases, for difficult differential diagnoses, and in the decision making in the case of expensive, risky or new diagnostic or therapeutic methods. The physician needs to be aware of certain dangers, ranging from misleading information up to abuse. Patient information depends often on subjective reports and error-prone observations. Although basing on problematic knowledge computer-born decisions may have an imperative effect on medical decision making. Also it must be born in mind that medical decisions should always combine the rational with a consideration of human motives.

Conflict when making decisions about dialysis modality.

PubMed

Chen, Nien-Hsin; Lin, Yu-Ping; Liang, Shu-Yuan; Tung, Heng-Hsin; Tsay, Shiow-Luan; Wang, Tsae-Jyy

2018-01-01

To explore decisional conflict and its influencing factors on choosing dialysis modality in patients with end-stage renal diseases. The influencing factors investigated include demographics, predialysis education, dialysis knowledge, decision self-efficacy and social support. Making dialysis modality decisions can be challenging for patients with end-stage renal diseases; there are pros and cons to both haemodialysis and peritoneal dialysis. Patients are often uncertain as to which one will be the best alternative for them. This decisional conflict increases the likelihood of making a decision that is not based on the patient's values or preferences and may result in undesirable postdecisional consequences. Addressing factors predisposing patients to decisional conflict helps to facilitate informed decision-making and then to improve healthcare quality. A predictive correlational cross-sectional study design was used. Seventy patients were recruited from the outpatient dialysis clinics of two general hospitals in Taiwan. Data were collected with study questionnaires, including questions on demographics, dialysis modality and predialysis education, the Dialysis Knowledge Scale, the Decision Self-Efficacy scale, the Social Support Scale, and the Decisional Conflict Scale. The mean score on the Decisional Conflict Scale was 29.26 (SD = 22.18). Decision self-efficacy, dialysis modality, predialysis education, professional support and dialysis knowledge together explained 76.4% of the variance in decisional conflict. Individuals who had lower decision self-efficacy, did not receive predialysis education on both haemodialysis and peritoneal dialysis, had lower dialysis knowledge and perceived lower professional support reported higher decisional conflict on choosing dialysis modality. When providing decisional support to predialysis stage patients, practitioners need to increase patients' decision self-efficacy, provide both haemodialysis and peritoneal dialysis predialysis education, increase dialysis knowledge and provide professional support. © 2017 John Wiley & Sons Ltd.

An integrated strategy of knowledge application for optimal e-health implementation: A multi-method study protocol

PubMed Central

Gagnon, Marie-Pierre; Légaré, France; Fortin, Jean-Paul; Lamothe, Lise; Labrecque, Michel; Duplantie, Julie

2008-01-01

Background E-health is increasingly valued for supporting: 1) access to quality health care services for all citizens; 2) information flow and exchange; 3) integrated health care services and 4) interprofessional collaboration. Nevertheless, several questions remain on the factors allowing an optimal integration of e-health in health care policies, organisations and practices. An evidence-based integrated strategy would maximise the efficacy and efficiency of e-health implementation. However, decisions regarding e-health applications are usually not evidence-based, which can lead to a sub-optimal use of these technologies. This study aims at understanding factors influencing the application of scientific knowledge for an optimal implementation of e-health in the health care system. Methods A three-year multi-method study is being conducted in the Province of Quebec (Canada). Decision-making at each decisional level (political, organisational and clinical) are analysed based on specific approaches. At the political level, critical incidents analysis is being used. This method will identify how decisions regarding the implementation of e-health could be influenced or not by scientific knowledge. Then, interviews with key-decision-makers will look at how knowledge was actually used to support their decisions, and what factors influenced its use. At the organisational level, e-health projects are being analysed as case studies in order to explore the use of scientific knowledge to support decision-making during the implementation of the technology. Interviews with promoters, managers and clinicians will be carried out in order to identify factors influencing the production and application of scientific knowledge. At the clinical level, questionnaires are being distributed to clinicians involved in e-health projects in order to analyse factors influencing knowledge application in their decision-making. Finally, a triangulation of the results will be done using mixed methodologies to allow a transversal analysis of the results at each of the decisional levels. Results This study will identify factors influencing the use of scientific evidence and other types of knowledge by decision-makers involved in planning, financing, implementing and evaluating e-health projects. Conclusion These results will be highly relevant to inform decision-makers who wish to optimise the implementation of e-health in the Quebec health care system. This study is extremely relevant given the context of major transformations in the health care system where e-health becomes a must. PMID:18435853

Counseling Students' Decision Making Regarding Teaching Effectiveness: A Conjoint Analysis

ERIC Educational Resources Information Center

Pietrzak, Dale; Duncan, Kelly; Korcuska, James S.

2008-01-01

The authors examined the relative importance of 4 attributes of decision making for student evaluation of teaching effectiveness: perceived knowledge base of the professor, professor's delivery style, course organization, and course workload. Participants were 234 counseling graduate students from 6 midwestern universities in the United States.…

An analysis of nursing students' decision-making in teams during simulations of acute patient deterioration.

PubMed

Bucknall, Tracey K; Forbes, Helen; Phillips, Nicole M; Hewitt, Nicky A; Cooper, Simon; Bogossian, Fiona

2016-10-01

The aim of this study was to examine the decision-making of nursing students during team based simulations on patient deterioration to determine the sources of information, the types of decisions made and the influences underpinning their decisions. Missed, misinterpreted or mismanaged physiological signs of deterioration in hospitalized patients lead to costly serious adverse events. Not surprisingly, an increased focus on clinical education and graduate nurse work readiness has resulted. A descriptive exploratory design. Clinical simulation laboratories in three Australian universities were used to run team based simulations with a patient actor. A convenience sample of 97 final-year nursing students completed simulations, with three students forming a team. Four teams from each university were randomly selected for detailed analysis. Cued recall during video review of team based simulation exercises to elicit descriptions of individual and team based decision-making and reflections on performance were audio-recorded post simulation (2012) and transcribed. Students recalled 11 types of decisions, including: information seeking; patient assessment; diagnostic; intervention/treatment; evaluation; escalation; prediction; planning; collaboration; communication and reflective. Patient distress, uncertainty and a lack of knowledge were frequently recalled influences on decisions. Incomplete information, premature diagnosis and a failure to consider alternatives when caring for patients is likely to lead to poor quality decisions. All health professionals have a responsibility in recognizing and responding to clinical deterioration within their scope of practice. A typology of nursing students' decision-making in teams, in this context, highlights the importance of individual knowledge, leadership and communication. © 2016 John Wiley & Sons Ltd.

Impact of a web-based prostate cancer treatment decision aid on patient-reported decision process parameters: results from the Prostate Cancer Patient Centered Care trial.

PubMed

Cuypers, Maarten; Lamers, Romy E D; Kil, Paul J M; van de Poll-Franse, Lonneke V; de Vries, Marieke

2018-05-12

To compare patients' evaluation of the treatment decision-making process in localized prostate cancer between counseling that included an online decision aid (DA) and standard counseling. Eighteen Dutch hospitals were randomized to DA counseling (n = 235) or the control group with standard counseling (n = 101) in a pragmatic, cluster randomized controlled trial. The DA was provided to patients at, or soon after diagnosis. Decisional conflict, involvement, knowledge, and satisfaction with information were assessed with a questionnaire after treatment decision-making. Anxiety and depression served as covariates. The levels of decision involvement and conflict were comparable between patients in both groups. Patients with a DA felt more knowledgeable but scored equally well on a knowledge test as patients without a DA. Small significant negative effects were found on satisfaction with information and preparation for decision-making. A preference for print over online and depression and anxiety symptoms was negatively associated with satisfaction and conflict scores in the DA group. The DA aimed to support shared decision-making, while outcomes for a majority of DA users were comparable to patients who received standard counseling. Patients, who are less comfortable with the online DA format or experience anxiety or depression symptoms, could require more guidance toward shared decision-making. To evaluate long-term DA effects, follow-up evaluation on treatment satisfaction and decisional regret will be done.

Why older adults make more immediate treatment decisions about cancer than younger adults.

PubMed

Meyer, Bonnie J F; Talbot, Andrew P; Ranalli, Carlee

2007-09-01

Literature relevant to medical decision making was reviewed, and a model was outlined for testing. Two studies examined whether older adults make more immediate decisions than younger adults about treatments for prostate or breast cancer in authentic scenarios. Findings clearly showed that older adults were more likely to make immediate decisions than younger adults. The research is important because it not only demonstrates the consistency of this age-related effect across disease domains, gender, ethnic groups, and prevalent education levels but begins to investigate a model to explain the effect. Major reasons for the effect focus on treatment knowledge, interest and engagement, and cognitive resources. Treatment knowledge, general cancer knowledge, interest, and cognitive resources relate to different ways of processing treatment information and preferences for immediate versus delayed decision making. Adults with high knowledge of treatments on a reliable test tended to make immediate treatment decisions, which supports the knowledge explanation. Adults with more cognitive resources and more interest tended to delay their treatment decisions. Little support was found for a cohort explanation for the relationship between age and preference for immediate medical decision making. (PsycINFO Database Record (c) 2007 APA, all rights reserved).

Assessing English Language Learner Content Knowledge in the Mainstream Classroom

ERIC Educational Resources Information Center

Clark-Gareca, Beth

2013-01-01

In K-12 environments in the US, classroom tests are a central means by which teachers assess English Language Learner (ELL) content knowledge. Performance on routine classroom assessments is often a contributing criterion for school based decision-making and can affect decisions relating to academic tracking, retention, and access to academic…

An intelligent, knowledge-based multiple criteria decision making advisor for systems design

NASA Astrophysics Data System (ADS)

Li, Yongchang

In systems engineering, design and operation of systems are two main problems which always attract researcher's attentions. The accomplishment of activities in these problems often requires proper decisions to be made so that the desired goal can be achieved, thus, decision making needs to be carefully fulfilled in the design and operation of systems. Design is a decision making process which permeates through out the design process, and is at the core of all design activities. In modern aircraft design, more and more attention is paid to the conceptual and preliminary design phases so as to increase the odds of choosing a design that will ultimately be successful at the completion of the design process, therefore, decisions made during these early design stages play a critical role in determining the success of a design. Since aerospace systems are complex systems with interacting disciplines and technologies, the Decision Makers (DMs) dealing with such design problems are involved in balancing the multiple, potentially conflicting attributes/criteria, transforming a large amount of customer supplied guidelines into a solidly defined set of requirement definitions. Thus, one could state with confidence that modern aerospace system design is a Multiple Criteria Decision Making (MCDM) process. A variety of existing decision making methods are available to deal with this type of decision problems. The selection of the most appropriate decision making method is of particular importance since inappropriate decision methods are likely causes of misleading engineering design decisions. With no sufficient knowledge about each of the methods, it is usually difficult for the DMs to find an appropriate analytical model capable of solving their problems. In addition, with the complexity of the decision problem and the demand for more capable methods increasing, new decision making methods are emerging with time. These various methods exacerbate the difficulty of the selection of an appropriate decision making method. Furthermore, some DMs may be exclusively using one or two specific methods which they are familiar with or trust and not realizing that they may be inappropriate to handle certain classes of the problems, thus yielding erroneous results. These issues reveal that in order to ensure a good decision a suitable decision method should be chosen before the decision making process proceeds. The first part of this dissertation proposes an MCDM process supported by an intelligent, knowledge-based advisor system referred to as Multi-Criteria Interactive Decision-Making Advisor and Synthesis process (MIDAS), which is able to facilitate the selection of the most appropriate decision making method and which provides insight to the user for fulfilling different preferences. The second part of this dissertation presents an autonomous decision making advisor which is capable of dealing with ever-evolving real time information and making autonomous decisions under uncertain conditions. The advisor encompasses a Markov Decision Process (MDP) formulation which takes uncertainty into account when determines the best action for each system state. (Abstract shortened by UMI.)

An integrated model of decision-making in health contexts: the role of science education in health education

NASA Astrophysics Data System (ADS)

Arnold, Julia C.

2018-03-01

Health education is to foster health literacy, informed decision-making and to promote health behaviour. To date, there are several models that seek to explain health behaviour (e.g. the Theory of Planned Behaviour or the Health Belief Model). These models include motivational factors (expectancies and values) that play a role in decision-making in health contexts. In this theoretical paper, it is argued that none of these models makes consequent use of expectancy-value pairs. It is further argued that in order to make these models fruitful for science education and for informed decision-making, models should systematically incorporate knowledge as part of the decision-making process. To fill this gap, this theoretical paper introduces The Integrated Model of Decision-Making in Health Contexts. This model includes three types of knowledge (system health knowledge, action-related health knowledge and effectiveness health knowledge) as influencing factors for motivational factors (perceived health threat, attitude towards health action, attitude towards health outcome and subjective norm) that are formed of expectancy-value pairs and lead to decisions. The model's potential for health education in science education as well as research implications is discussed.

Integration of an OWL-DL knowledge base with an EHR prototype and providing customized information.

PubMed

Jing, Xia; Kay, Stephen; Marley, Tom; Hardiker, Nicholas R

2014-09-01

When clinicians use electronic health record (EHR) systems, their ability to obtain general knowledge is often an important contribution to their ability to make more informed decisions. In this paper we describe a method by which an external, formal representation of clinical and molecular genetic knowledge can be integrated into an EHR such that customized knowledge can be delivered to clinicians in a context-appropriate manner.Web Ontology Language-Description Logic (OWL-DL) is a formal knowledge representation language that is widely used for creating, organizing and managing biomedical knowledge through the use of explicit definitions, consistent structure and a computer-processable format, particularly in biomedical fields. In this paper we describe: 1) integration of an OWL-DL knowledge base with a standards-based EHR prototype, 2) presentation of customized information from the knowledge base via the EHR interface, and 3) lessons learned via the process. The integration was achieved through a combination of manual and automatic methods. Our method has advantages for scaling up to and maintaining knowledge bases of any size, with the goal of assisting clinicians and other EHR users in making better informed health care decisions.

Decision-making deficits in pathological gambling: the role of executive functions, explicit knowledge and impulsivity in relation to decisions made under ambiguity and risk.

PubMed

Ochoa, Cristian; Alvarez-Moya, Eva M; Penelo, Eva; Aymami, M Neus; Gómez-Peña, Mónica; Fernández-Aranda, Fernando; Granero, Roser; Vallejo-Ruiloba, Julio; Menchón, José Manuel; Lawrence, Natalia S; Jiménez-Murcia, Susana

2013-01-01

A variety of cognitive and emotional processes influence the decision-making deficits observed in pathological gambling (PG). This study investigated the role of immediate/delayed sensitivity to reward and punishment, executive functions, impulsivity and explicit knowledge in relation to decision-making performance on the original Iowa Gambling Task (IGT-ABCD) and a variant (IGT-EFGH). We assessed 131 consecutive patients with a diagnosis of PG by using executive functioning and decision-making tasks, self-report measures of impulsivity and explicit knowledge. The majority of pathological gamblers (PGs) showed deficits in decision-making, characterized mainly by myopia for the future. Decisions made under risk showed different predictors. Performance on the IGT-ABCD for decisions made under risk was predicted by medium and high levels of explicit knowledge of the task, as well as by scores on the Disorderliness subscale and the degree of Stroop interference. By contrast, IGT-EFGH results were only associated with self-report impulsivity measures. Decision making in PG involves distinct patterns of deficits, and the predictors differ depending on the reinforcement schedule. Decisions made under risk on the IGT-ABCD are associated with explicit knowledge, executive functions and impulsivity traits related to conscious awareness and control processes. On the IGT-EFGH, however, only impulsivity traits predict decision making. Copyright © American Academy of Addiction Psychiatry.

Facilitating Decision Making, Re-Use and Collaboration: A Knowledge Management Approach for System Self-Awareness

DTIC Science & Technology

2009-10-01

FACILITATING DECISION MAKING, RE-USE AND COLLABORATION: A KNOWLEDGE MANAGEMENT APPROACH FOR SYSTEM SELF- AWARENESS Shelley P. Gallup, Douglas J... Information Systems Experimentation (DISE) Group Naval Postgraduate School, Monterey, CA 93943 Keywords: Program self- awareness , decision making...decision makers express in obtaining constant awareness of what is going on in their domains of decision making because information that is needed

"May I Please Tell You a Little Anecdote?" Inter-Professional Decision-Making about Inclusion in the Borderland between General and Special Schooling

ERIC Educational Resources Information Center

Røn Larsen, Maja

2016-01-01

This article addresses inter-professional work and decision-making around inclusion in school, using an approach inspired by social practice theory. Based on a case analysis, the article presents analytical examples of the ways in which knowledge from children's everyday life tends to be considered anecdotal and disregarded in the decision-making…

Making Invasion models useful for decision makers; incorporating uncertainty, knowledge gaps, and decision-making preferences

Treesearch

Denys Yemshanov; Frank H Koch; Mark Ducey

2015-01-01

Uncertainty is inherent in model-based forecasts of ecological invasions. In this chapter, we explore how the perceptions of that uncertainty can be incorporated into the pest risk assessment process. Uncertainty changes a decision maker’s perceptions of risk; therefore, the direct incorporation of uncertainty may provide a more appropriate depiction of risk. Our...

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.

Non-clinical influences on clinical decision-making: a major challenge to evidence-based practice.

PubMed

Hajjaj, F M; Salek, M S; Basra, M K A; Finlay, A Y

2010-05-01

This article reviews an aspect of daily clinical practice which is of critical importance in virtually every clinical consultation, but which is seldom formally considered. Non-clinical influences on clinical decision-making profoundly affect medical decisions. These influences include patient-related factors such as socioeconomic status, quality of life and patient's expectations and wishes, physician-related factors such as personal characteristics and interaction with their professional community, and features of clinical practice such as private versus public practice as well as local management policies. This review brings together the different strands of knowledge concerning non-clinical influences on clinical decision-making. This aspect of decision-making may be the biggest obstacle to the reality of practising evidence-based medicine. It needs to be understood in order to develop clinical strategies that will facilitate the practice of evidence-based medicine.

The Visual Representation and Acquisition of Driving Knowledge for Autonomous Vehicle

NASA Astrophysics Data System (ADS)

Zhang, Zhaoxia; Jiang, Qing; Li, Ping; Song, LiangTu; Wang, Rujing; Yu, Biao; Mei, Tao

2017-09-01

In this paper, the driving knowledge base of autonomous vehicle is designed. Based on the driving knowledge modeling system, the driving knowledge of autonomous vehicle is visually acquired, managed, stored, and maintenanced, which has vital significance for creating the development platform of intelligent decision-making systems of automatic driving expert systems for autonomous vehicle.

Knowledge, perceptions, and decision making about human papillomavirus vaccination among Korean American women: a focus group study.

PubMed

Kim, Kyounghae; Kim, Boyoung; Choi, Eunsuk; Song, Youngshin; Han, Hae-Ra

2015-01-01

As one of the fastest growing ethnic minority groups in the United States, Korean American (KA) women experience a heightened cervical cancer burden. The advent of the human papillomavirus (HPV) vaccine offers an unprecedented opportunity to eliminate cervical cancer disparities in KA women. However, the uptake of HPV vaccine among KA adolescents remains suboptimal. Hence, we set out to explore knowledge, perceptions, and decision making about HPV vaccination among KA women. We conducted four focus groups of 26 KA women who participated in a community-based, randomized, controlled trial to promote breast and cervical cancer screening. Focus group data were analyzed using qualitative content analysis. Four main themes emerged from the focus groups: 1) limited awareness and knowledge of HPV vaccine, 2) perceptions and beliefs about HPV vaccination (acceptance, negative perceptions, ambivalence), 3) patterns of decision making about HPV vaccination (hierarchical, peer influenced, autonomous, and collaborative), and 4) promoting HPV education and information sharing in the Korean community. KA women are generally positive toward HPV vaccination, but lack awareness and knowledge about HPV. Culturally tailored HPV education programs based on KA women's decision-making patterns and effective information sharing by trustworthy sources in comfortable environments are suggested strategies to promote HPV vaccination in the KA community. The findings point to the need for a multilevel approach to addressing linguistic, cultural, and system barriers that the recent immigrant community faces in promoting HPV vaccinations. In the development of targeted interventions for KA women, educational strategies and patterns of decision making need to be considered. Copyright © 2015 Jacobs Institute of Women's Health. Published by Elsevier Inc. All rights reserved.

Extending emotion and decision-making beyond the laboratory: The promise of palliative care contexts.

PubMed

Ferrer, Rebecca A; Padgett, Lynne; Ellis, Erin M

2016-08-01

Although laboratory-based research on emotion and decision-making holds the distinct advantage of rigorous experimental control conditions that allow causal inferences, the question of how findings in a laboratory generalize to real-world settings remains. Identifying ecologically valid, real-world opportunities to extend laboratory findings is a valuable means of advancing this field. Palliative care-or care intended to provide relief from serious illness and aging-related complications during treatment or at the end of life-provides a particularly rich opportunity for such work. Here, we present an overview of palliative care, summarize existing research on emotion and palliative care decision-making, highlight challenges associated with conducting such research, outline examples of collaborative projects leveraging palliative care as a context for generating fundamental knowledge about emotion and decision-making, and describe the resources and collaborations necessary to conduct this type of research. In sum, palliative care holds unique promise as an emotionally laden context in which to answer fundamental questions about emotion and decision-making that extends our theoretical understanding of the role of emotion in high-stakes decision-making while simultaneously generating knowledge that can improve palliative care implementation. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Developing Environmental Decision-making in Middle School Classes.

ERIC Educational Resources Information Center

Rowland, Paul McD.; Adkins, Carol R.

This paper presents Rowland's Ways of Knowing and Decision-making Model for curriculum development and how it can be applied to environmental education curricula. The model uses a problem solving approach based on steps of: (1) coming to know the problem through the ways of knowing of the disciplines and personal knowledge; (2) proposing solutions…

Achieving realistic performance and decison-making capabilities in computer-generated air forces

NASA Astrophysics Data System (ADS)

Banks, Sheila B.; Stytz, Martin R.; Santos, Eugene, Jr.; Zurita, Vincent B.; Benslay, James L., Jr.

1997-07-01

For a computer-generated force (CGF) system to be useful in training environments, it must be able to operate at multiple skill levels, exhibit competency at assigned missions, and comply with current doctrine. Because of the rapid rate of change in distributed interactive simulation (DIS) and the expanding set of performance objectives for any computer- generated force, the system must also be modifiable at reasonable cost and incorporate mechanisms for learning. Therefore, CGF applications must have adaptable decision mechanisms and behaviors and perform automated incorporation of past reasoning and experience into its decision process. The CGF must also possess multiple skill levels for classes of entities, gracefully degrade its reasoning capability in response to system stress, possess an expandable modular knowledge structure, and perform adaptive mission planning. Furthermore, correctly performing individual entity behaviors is not sufficient. Issues related to complex inter-entity behavioral interactions, such as the need to maintain formation and share information, must also be considered. The CGF must also be able to acceptably respond to unforeseen circumstances and be able to make decisions in spite of uncertain information. Because of the need for increased complexity in the virtual battlespace, the CGF should exhibit complex, realistic behavior patterns within the battlespace. To achieve these necessary capabilities, an extensible software architecture, an expandable knowledge base, and an adaptable decision making mechanism are required. Our lab has addressed these issues in detail. The resulting DIS-compliant system is called the automated wingman (AW). The AW is based on fuzzy logic, the common object database (CODB) software architecture, and a hierarchical knowledge structure. We describe the techniques we used to enable us to make progress toward a CGF entity that satisfies the requirements presented above. We present our design and implementation of an adaptable decision making mechanism that uses multi-layered, fuzzy logic controlled situational analysis. Because our research indicates that fuzzy logic can perform poorly under certain circumstances, we combine fuzzy logic inferencing with adversarial game tree techniques for decision making in strategic and tactical engagements. We describe the approach we employed to achieve this fusion. We also describe the automated wingman's system architecture and knowledge base architecture.

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.

Knowledge, attitudes and decision-making preferences of men considering participation in the TROG RAVES Prostate Cancer Trial (TROG 08.03).

PubMed

Tesson, Stephanie; Sundaresan, Puma; Ager, Brittany; Butow, Phyllis; Kneebone, Andrew; Costa, Daniel; Woo, Henry; Pearse, Maria; Juraskova, Ilona; Turner, Sandra

2016-04-01

The RAVES (Trans-Tasman Radiation Oncology Group 08.03) randomised controlled trial (RCT), compares adjuvant radiotherapy with early salvage radiotherapy in men with high risk histopathological features at prostatectomy. The RAVES Decision Aid study evaluates the utility of a decision aid for men considering participation in the RAVES RCT. We report the RAVES Decision Aid study participants' attitudes and knowledge regarding RCTs, decision-making preferences and decisional-conflict. Baseline questionnaires assessed knowledge and attitudes towards RCTs and RAVES RCT. Sociodemographic and clinical predictors of knowledge were examined. Involvement in decision-making and difficulties with the decision-making process were assessed using validated tools. 127 men (median age=63years) were recruited through urologists (n=91) and radiation oncologists (n=36). Men preferred collaborative (35%) or semi-active (35%) decision-making roles. Most (>75%) felt the RAVES RCT was worthwhile and important with participation being wise. However, nearly half had high decisional-conflict regarding participation. Scores of objective knowledge regarding RCTs and RAVES RCT were low. Most men with high-risk histopathological features at prostatectomy desire active involvement in decision-making regarding further management. Despite positive attitudes towards RCTs and the RAVES RCT, there were gaps in knowledge and high decisional-conflict surrounding participation. Crown Copyright © 2016. Published by Elsevier Ireland Ltd. All rights reserved.

Strategies for memory-based decision making: Modeling behavioral and neural signatures within a cognitive architecture.

PubMed

Fechner, Hanna B; Pachur, Thorsten; Schooler, Lael J; Mehlhorn, Katja; Battal, Ceren; Volz, Kirsten G; Borst, Jelmer P

2016-12-01

How do people use memories to make inferences about real-world objects? We tested three strategies based on predicted patterns of response times and blood-oxygen-level-dependent (BOLD) responses: one strategy that relies solely on recognition memory, a second that retrieves additional knowledge, and a third, lexicographic (i.e., sequential) strategy, that considers knowledge conditionally on the evidence obtained from recognition memory. We implemented the strategies as computational models within the Adaptive Control of Thought-Rational (ACT-R) cognitive architecture, which allowed us to derive behavioral and neural predictions that we then compared to the results of a functional magnetic resonance imaging (fMRI) study in which participants inferred which of two cities is larger. Overall, versions of the lexicographic strategy, according to which knowledge about many but not all alternatives is searched, provided the best account of the joint patterns of response times and BOLD responses. These results provide insights into the interplay between recognition and additional knowledge in memory, hinting at an adaptive use of these two sources of information in decision making. The results highlight the usefulness of implementing models of decision making within a cognitive architecture to derive predictions on the behavioral and neural level. Copyright © 2016 Elsevier B.V. All rights reserved.

Knowledge translation strategies to improve the use of evidence in public health decision making in local government: intervention design and implementation plan

PubMed Central

2013-01-01

Background Knowledge translation strategies are an approach to increase the use of evidence within policy and practice decision-making contexts. In clinical and health service contexts, knowledge translation strategies have focused on individual behavior change, however the multi-system context of public health requires a multi-level, multi-strategy approach. This paper describes the design of and implementation plan for a knowledge translation intervention for public health decision making in local government. Methods Four preliminary research studies contributed findings to the design of the intervention: a systematic review of knowledge translation intervention effectiveness research, a scoping study of knowledge translation perspectives and relevant theory literature, a survey of the local government public health workforce, and a study of the use of evidence-informed decision-making for public health in local government. A logic model was then developed to represent the putative pathways between intervention inputs, processes, and outcomes operating between individual-, organizational-, and system-level strategies. This formed the basis of the intervention plan. Results The systematic and scoping reviews identified that effective and promising strategies to increase access to research evidence require an integrated intervention of skill development, access to a knowledge broker, resources and tools for evidence-informed decision making, and networking for information sharing. Interviews and survey analysis suggested that the intervention needs to operate at individual and organizational levels, comprising workforce development, access to evidence, and regular contact with a knowledge broker to increase access to intervention evidence; develop skills in appraisal and integration of evidence; strengthen networks; and explore organizational factors to build organizational cultures receptive to embedding evidence in practice. The logic model incorporated these inputs and strategies with a set of outcomes to measure the intervention’s effectiveness based on the theoretical frameworks, evaluation studies, and decision-maker experiences. Conclusion Documenting the design of and implementation plan for this knowledge translation intervention provides a transparent, theoretical, and practical approach to a complex intervention. It provides significant insights into how practitioners might engage with evidence in public health decision making. While this intervention model was designed for the local government context, it is likely to be applicable and generalizable across sectors and settings. Trial registration Australia New Zealand Clinical Trials Register ACTRN12609000953235. PMID:24107358

Use of declarative statements in creating and maintaining computer-interpretable knowledge bases for guideline-based care.

PubMed

Tu, Samson W; Hrabak, Karen M; Campbell, James R; Glasgow, Julie; Nyman, Mark A; McClure, Robert; McClay, James; Abarbanel, Robert; Mansfield, James G; Martins, Susana M; Goldstein, Mary K; Musen, Mark A

2006-01-01

Developing computer-interpretable clinical practice guidelines (CPGs) to provide decision support for guideline-based care is an extremely labor-intensive task. In the EON/ATHENA and SAGE projects, we formulated substantial portions of CPGs as computable statements that express declarative relationships between patient conditions and possible interventions. We developed query and expression languages that allow a decision-support system (DSS) to evaluate these statements in specific patient situations. A DSS can use these guideline statements in multiple ways, including: (1) as inputs for determining preferred alternatives in decision-making, and (2) as a way to provide targeted commentaries in the clinical information system. The use of these declarative statements significantly reduces the modeling expertise and effort required to create and maintain computer-interpretable knowledge bases for decision-support purpose. We discuss possible implications for sharing of such knowledge bases.

Opportunities and Strategies to Incorporate Ecosystem Services Knowledge and Decision Support Tools into Planning and Decision Making in Hawai`i

NASA Astrophysics Data System (ADS)

Bremer, Leah L.; Delevaux, Jade M. S.; Leary, James J. K.; J. Cox, Linda; Oleson, Kirsten L. L.

2015-04-01

Incorporating ecosystem services into management decisions is a promising means to link conservation and human well-being. Nonetheless, planning and management in Hawai`i, a state with highly valued natural capital, has yet to broadly utilize an ecosystem service approach. We conducted a stakeholder assessment, based on semi-structured interviews, with terrestrial ( n = 26) and marine ( n = 27) natural resource managers across the State of Hawai`i to understand the current use of ecosystem services (ES) knowledge and decision support tools and whether, how, and under what contexts, further development would potentially be useful. We found that ES knowledge and tools customized to Hawai`i could be useful for communication and outreach, justifying management decisions, and spatial planning. Greater incorporation of this approach is clearly desired and has a strong potential to contribute to more sustainable decision making and planning in Hawai`i and other oceanic island systems. However, the unique biophysical, socio-economic, and cultural context of Hawai`i, and other island systems, will require substantial adaptation of existing ES tools. Based on our findings, we identified four key opportunities for the use of ES knowledge and tools in Hawai`i: (1) linking native forest protection to watershed health; (2) supporting sustainable agriculture; (3) facilitating ridge-to-reef management; and (4) supporting statewide terrestrial and marine spatial planning. Given the interest expressed by natural resource managers, we envision broad adoption of ES knowledge and decision support tools if knowledge and tools are tailored to the Hawaiian context and coupled with adequate outreach and training.

Opportunities and strategies to incorporate ecosystem services knowledge and decision support tools into planning and decision making in Hawai'i.

PubMed

Bremer, Leah L; Delevaux, Jade M S; Leary, James J K; J Cox, Linda; Oleson, Kirsten L L

2015-04-01

Incorporating ecosystem services into management decisions is a promising means to link conservation and human well-being. Nonetheless, planning and management in Hawai'i, a state with highly valued natural capital, has yet to broadly utilize an ecosystem service approach. We conducted a stakeholder assessment, based on semi-structured interviews, with terrestrial (n = 26) and marine (n = 27) natural resource managers across the State of Hawai'i to understand the current use of ecosystem services (ES) knowledge and decision support tools and whether, how, and under what contexts, further development would potentially be useful. We found that ES knowledge and tools customized to Hawai'i could be useful for communication and outreach, justifying management decisions, and spatial planning. Greater incorporation of this approach is clearly desired and has a strong potential to contribute to more sustainable decision making and planning in Hawai'i and other oceanic island systems. However, the unique biophysical, socio-economic, and cultural context of Hawai'i, and other island systems, will require substantial adaptation of existing ES tools. Based on our findings, we identified four key opportunities for the use of ES knowledge and tools in Hawai'i: (1) linking native forest protection to watershed health; (2) supporting sustainable agriculture; (3) facilitating ridge-to-reef management; and (4) supporting statewide terrestrial and marine spatial planning. Given the interest expressed by natural resource managers, we envision broad adoption of ES knowledge and decision support tools if knowledge and tools are tailored to the Hawaiian context and coupled with adequate outreach and training.

[The role of information in public health decision-making].

PubMed

Cecchi, Catherine

2008-01-01

Public health, prevention, health education and health promotion are inseparable from the concepts of information and communication. Information should respond as much as possible to the needs of professionals, decision-makers, and consumers who are more and more concerned and conscious of its importance in light of "information overload", various dissemination channels and the multiplicity of its sources. There are numerous issues at stake ranging from comprehension, to the validation of health information, health education, health promotion, prevention, decision-making, as well as issues related to knowledge and power. Irrespective of the type of choice to be made, the need for information, knowledge, and know-how is inseparable from that of other tools or regulatory measures required for decision-making. Information is the same as competence, epidemiological and population data, health data, scientific opinion, and expert conferences--all are needed to assist in decision-making. Based on the principle of precaution, information must increasingly take into account the rejection of a society which often reasons on the basis of a presumption of zero-risk, in an idealistic manner, and which also excludes the possibility of new risks. The consumer positions himself as the regulator of decisions, specifically those with regard to the notion of acceptable level of risk. All of the actors involved in the health system are or become at one moment or another public health decision-makers. Their decision might be based either on an analytical approach, or on an intuitive approach. Although the act of decision-making is the least visible part of public health policy, it is certainly the driving force. This process should integrate the perspective of all of the relevant players, including consumers, who are currently situated more and more frequently at the heart of the health system. Public health decision-making is conducted as a function of political, strategic and environmental issues; of lobbies and their power; and of social maturation. Decision-making is a necessity. Making the right choice at the right time requires high quality information, and it is often necessary to respect a certain amount of time for reflection and ripening of an issue in order to make the best possible decision. The media and consumers play an increasingly significant role in public health decision-making and in the ensuing legislative consequences and debates which come as a result. Access to information is changing, especially thanks to the Internet which is completely modifying the global scenery of knowledge and know-how. Information supports decision-making with calculated risk, and it offers the opportunity to make choices and decisions, recognising that "to choose, is sometimes to relinquish".

Factors affecting evidence-based decision making in local health departments.

PubMed

Sosnowy, Collette D; Weiss, Linda J; Maylahn, Christopher M; Pirani, Sylvia J; Katagiri, Nancy J

2013-12-01

Data indicating the extent to which evidence-based decision making (EBDM) is used in local health departments (LHDs) are limited. This study aims to determine use of decision-making processes by New York State LHD leaders and upper-level staff and identify facilitators and barriers to the use of EBDM in LHDs. The New York Public Health Practice-Based Research Network implemented a mixed-methods study in 31 LHDs. There were 20 individual interviews; five small-group interviews (two or three participants each); and two focus groups (eight participants each) conducted with people who had decision-making authority. Information was obtained about each person's background and position, decision-making responsibilities, how decisions are made within their LHD, knowledge and experience with EBDM, use of each step of the EBDM process, and barriers and facilitators to EBDM implementation. Data were collected from June to November 2010 and analyzed in 2011. Overall, participants supported EBDM and expressed a desire to increase their department's use of it. Although most people understood the concept, a relatively small number had substantial expertise and experience with its practice. Many indicated that they applied EBDM unevenly. Factors associated with use of EBDM included strong leadership; workforce capacity (number and skills); resources; funding and program mandates; political support; and access to data and program models suitable to community conditions. EBDM is used inconsistently in LHDs in New York. Despite knowledge and interest among LHD leadership, the LHD capacity, resources, appropriate programming, and other issues serve as impediments to EBDM and optimal implementation of evidence-based strategies. Published by Elsevier Inc.

"If it's worth my time, i will make the time": school-based providers' decision-making about participating in an evidence-based psychotherapy consultation program.

PubMed

Lyon, Aaron R; Ludwig, Kristy; Romano, Evalynn; Leonard, Skyler; Stoep, Ann Vander; McCauley, Elizabeth

2013-11-01

This study evaluated influences on school-based clinicians' decision-making surrounding participation in a modular psychotherapy training and consultation program lasting one academic year. Clinicians were recruited from three participation groups: those who never engaged, those who engaged and then discontinued, and those who participated fully. Qualitative interviews explored influences on initial and continued participation, as well as differences in decision-making by participation group, knowledge about evidence-based practices, and attitudes toward evidence-based practices. Eight major themes were identified: time, practice utility, intervention/training content, training process, attitudes toward training, social influences, commitment to training, and expectations. Some themes were discussed universally across all comparison groups, while others varied in frequency or content. Recommendations for increasing participation are presented, based on the findings.

Using More of Your Existing Knowledge to Make Better Strategic Decisions

ERIC Educational Resources Information Center

Brockmann, Erich N.

2008-01-01

We contend that managers make better decisions when they are better able to tap into their vast storehouses of knowledge than their peers can. More specifically, we contend that accessing their tacit knowledge has the most noticeable and positive impact on their decision quality. Furthermore, techniques for better accessing knowledge can be…

An exploration of clinical decision making in mental health triage.

PubMed

Sands, Natisha

2009-08-01

Mental health (MH) triage is a specialist area of clinical nursing practice that involves complex decision making. The discussion in this article draws on the findings of a Ph.D. study that involved a statewide investigation of the scope of MH triage nursing practice in Victoria, Australia. Although the original Ph.D. study investigated a number of core practices in MH triage, the focus of the discussion in this article is specifically on the findings related to clinical decision making in MH triage, which have not previously been published. The study employed an exploratory descriptive research design that used mixed data collection methods including a survey questionnaire (n = 139) and semistructured interviews (n = 21). The study findings related to decision making revealed a lack of empirically tested evidence-based decision-making frameworks currently in use to support MH triage nursing practice. MH triage clinicians in Australia rely heavily on clinical experience to underpin decision making and have little of knowledge of theoretical models for practice, such as methodologies for rating urgency. A key recommendation arising from the study is the need to develop evidence-based decision-making frameworks such as clinical guidelines to inform and support MH triage clinical decision making.

Application of the principles of evidence-based practice in decision making among senior management in Nova Scotia's addiction services agencies.

PubMed

Murphy, Matthew; MacCarthy, M Jayne; McAllister, Lynda; Gilbert, Robert

2014-12-05

Competency profiles for occupational clusters within Canada's substance abuse workforce (SAW) define the need for skill and knowledge in evidence-based practice (EBP) across all its members. Members of the Senior Management occupational cluster hold ultimate responsibility for decisions made within addiction services agencies and therefore must possess the highest level of proficiency in EBP. The objective of this study was to assess the knowledge of the principles of EBP, and use of the components of the evidence-based decision making (EBDM) process in members of this occupational cluster from selected addiction services agencies in Nova Scotia. A convenience sampling method was used to recruit participants from addiction services agencies. Semi-structured qualitative interviews were conducted with eighteen Senior Management. The interviews were audio-recorded, transcribed verbatim and checked by the participants. Interview transcripts were coded and analyzed for themes using content analysis and assisted by qualitative data analysis software (NVivo 9.0). Data analysis revealed four main themes: 1) Senior Management believe that addictions services agencies are evidence-based; 2) Consensus-based decision making is the norm; 3) Senior Management understand the principles of EBP and; 4) Senior Management do not themselves use all components of the EBDM process when making decisions, oftentimes delegating components of this process to decision support staff. Senior Management possess an understanding of the principles of EBP, however, when making decisions they often delegate components of the EBDM process to decision support staff. Decision support staff are not defined as an occupational cluster in Canada's SAW and have not been ascribed a competency profile. As such, there is no guarantee that this group possesses competency in EBDM. There is a need to advocate for the development of a defined occupational cluster and associated competency profile for this critical group.

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

Patient involvement in health care decision making: a review.

PubMed

Vahdat, Shaghayegh; Hamzehgardeshi, Leila; Hessam, Somayeh; Hamzehgardeshi, Zeinab

2014-01-01

Patient participation means involvement of the patient in decision making or expressing opinions about different treatment methods, which includes sharing information, feelings and signs and accepting health team instructions. Given the importance of patient participation in healthcare decision making which empowers patients and improves services and health outcomes, this study was performed to review previous studies on patient participation in healthcare decision making. To prepare this narrative review article, researchers used general and specific search engines, as well as textbooks addressing this subject for an in-depth study of patient involvement in healthcare decision-making. As a result, 35 (out of 100 relevant) articles and also two books were selected for writing this review article. BASED ON THE REVIEW OF ARTICLES AND BOOKS, TOPICS WERE DIVIDED INTO SIX GENERAL CATEGORIES: definition of participation, importance of patient participation, factors influencing participation of patients in healthcare decisions, method of patient participation, tools for evaluating participation, and benefits and consequences of patient participation in health care decision-making. IN MOST STUDIES, FACTORS INFLUENCING PATIENT PARTICIPATION CONSISTED OF: factors associated with health care professionals such as doctor-patient relationship, recognition of patient's knowledge, allocation of sufficient time for participation, and also factors related to patients such as having knowledge, physical and cognitive ability, and emotional connections, beliefs, values and their experiences in relation to health services.

Patient Preferences and Surrogate Decision Making in Neuroscience Intensive Care Units

PubMed Central

Cai, Xuemei; Robinson, Jennifer; Muehlschlegel, Susanne; White, Douglas B.; Holloway, Robert G.; Sheth, Kevin N.; Fraenkel, Liana; Hwang, David Y.

2016-01-01

In the neuroscience intensive care unit (NICU), most patients lack the capacity to make their own preferences known. This fact leads to situations where surrogate decision makers must fill the role of the patient in terms of making preference-based treatment decisions, oftentimes in challenging situations where prognosis is uncertain. The neurointensivist has a large responsibility and role to play in this shared decision making process. This review covers how NICU patient preferences are determined through existing advance care documentation or surrogate decision makers and how the optimum roles of the physician and surrogate decision maker are addressed. We outline the process of reaching a shared decision between family and care team and describe a practice for conducting optimum family meetings based on studies of ICU families in crisis. We review challenges in the decision making process between surrogate decision makers and medical teams in neurocritical care settings, as well as methods to ameliorate conflicts. Ultimately, the goal of shared decision making is to increase knowledge amongst surrogates and care providers, decrease decisional conflict, promote realistic expectations and preference-centered treatment strategies, and lift the emotional burden on families of neurocritical care patients. PMID:25990137

New solid-state chemistry technologies to bring better drugs to market: knowledge-based decision making.

PubMed

Park, Aeri; Chyall, Leonard J; Dunlap, Jeanette; Schertz, Christine; Jonaitis, David; Stahly, Barbara C; Bates, Simon; Shipplett, Rex; Childs, Scott

2007-01-01

Modern drug development demands constant deployment of more effective technologies to mitigate the high cost of bringing new drugs to market. In addition to cost savings, new technologies can improve all aspects of pharmaceutical development. New technologies developed at SSCI, Inc. include solid form development of an active pharmaceutical ingredients. (APIs) are PatternMatch software and capillary-based crystallisation techniques that not only allow for fast and effective solid form screening, but also extract maximum property information from the routine screening data that is generally available. These new technologies offer knowledge-based decision making during solid form development of APIs and result in more developable API solid forms.

Creation of a Tool for Assessing Knowledge in Evidence-Based Decision-Making in Practicing Health Care Providers.

PubMed

Spurr, Kathy; Dechman, Gail; Lackie, Kelly; Gilbert, Robert

2016-01-01

Evidence-based decision-making (EBDM) is the process health care providers (HCPs) use to identify and appraise potential evidence. It supports the integration of best research evidence with clinical expertise and patient values into the decision-making process for patient care. Competence in this process is essential to delivery of optimal care. There is no objective tool that assesses EBDM across HCP groups. This research aimed to develop a content valid tool to assess knowledge of the principles of evidence-based medicine and the EBDM process, for use with all HCPs. A Delphi process was used in the creation of the tool. Pilot testing established its content validity with the added benefit of evaluating HCPs' knowledge of EBDM. Descriptive statistics and multivariate mixed models were used to evaluate individual survey responses in total, as well as within each EBDM component. The tool consisted of 26 multiple-choice questions. A total of 12,884 HCPs in Nova Scotia were invited to participate in the web-based validation study, yielding 818 (6.3%) participants, 471 of whom completed all questions. The mean overall score was 68%. Knowledge in one component, integration of evidence with clinical expertise and patient preferences, was identified as needing development across all HCPs surveyed. A content valid tool for assessing HCP EBDM knowledge was created and can be used to support the development of continuing education programs to enhance EBDM competency.

[Patients' preferences and experience regarding participation in nursing care decisions in acute hospitals--an analysis of conformity of preferences and experience, and factors influencing different types of decision making].

PubMed

Smoliner, Andrea; Hantikainen, Virpi; Mayer, Hanna; Ponocny-Seliger, Elisabeth; Them, Christa

2009-12-01

Patients' preferences regarding their participation in nursing care decisions represent a key aspect of the concept of evidence-based nursing; nonetheless, very little quantitative research has been carried out in this area. The aim of the present study was to describe the patients' preferences and experience concerning their participation in nursing care decision-making processes in acute hospitals. A total of 967 patients in five hospitals in Vienna participated in this study by completing questionnaires. The results revealed that 38.5 % of patients preferred the paternalistic style of decision-making, 42.1 % wanted to make decisions together with the nursing staff and 5.7 % expressed a wish to make their own decisions. During their hospital stay, however, patients experienced paternalistic decision-making to a higher degree than they wished for. Age, sex, form of treatment and subjectively experienced health condition represented person-related characteristics that influenced preferences regarding the form of decision-making. The results of this study underline the importance of collecting data on patients' preferences in decision-making processes in order to meet the social, legal, and professional demands of patient-oriented nursing care based on the most recent scientific knowledge.

A conceptual framework for understanding the perspectives on the causes of the science-practice gap in ecology and conservation.

PubMed

Bertuol-Garcia, Diana; Morsello, Carla; N El-Hani, Charbel; Pardini, Renata

2018-05-01

Applying scientific knowledge to confront societal challenges is a difficult task, an issue known as the science-practice gap. In Ecology and Conservation, scientific evidence has been seldom used directly to support decision-making, despite calls for an increasing role of ecological science in developing solutions for a sustainable future. To date, multiple causes of the science-practice gap and diverse approaches to link science and practice in Ecology and Conservation have been proposed. To foster a transparent debate and broaden our understanding of the difficulties of using scientific knowledge, we reviewed the perceived causes of the science-practice gap, aiming to: (i) identify the perspectives of ecologists and conservation scientists on this problem, (ii) evaluate the predominance of these perspectives over time and across journals, and (iii) assess them in light of disciplines studying the role of science in decision-making. We based our review on 1563 sentences describing causes of the science-practice gap extracted from 122 articles and on discussions with eight scientists on how to classify these sentences. The resulting process-based framework describes three distinct perspectives on the relevant processes, knowledge and actors in the science-practice interface. The most common perspective assumes only scientific knowledge should support practice, perceiving a one-way knowledge flow from science to practice and recognizing flaws in knowledge generation, communication, and/or use. The second assumes that both scientists and decision-makers should contribute to support practice, perceiving a two-way knowledge flow between science and practice through joint knowledge-production/integration processes, which, for several reasons, are perceived to occur infrequently. The last perspective was very rare, and assumes scientists should put their results into practice, but they rarely do. Some causes (e.g. cultural differences between scientists and decision-makers) are shared with other disciplines, while others seem specific to Ecology and Conservation (e.g. inadequate research scales). All identified causes require one of three general types of solutions, depending on whether the causal factor can (e.g. inadequate research questions) or cannot (e.g. scientific uncertainty) be changed, or if misconceptions (e.g. undervaluing abstract knowledge) should be solved. The unchanged predominance of the one-way perspective over time may be associated with the prestige of evidence-based conservation and suggests that debates in Ecology and Conservation lag behind trends in other disciplines towards bidirectional views ascribing larger roles to decision-makers. In turn, the two-way perspective seems primarily restricted to research traditions historically isolated from mainstream conservation biology. All perspectives represented superficial views of decision-making by not accounting for limits to human rationality, complexity of decision-making contexts, fuzzy science-practice boundaries, ambiguity brought about by science, and different types of knowledge use. However, joint knowledge-production processes from the two-way perspective can potentially allow for democratic decision-making processes, explicit discussions of values and multiple types of science use. To broaden our understanding of the interface and foster productive science-practice linkages, we argue for dialogue among different research traditions within Ecology and Conservation, joint knowledge-production processes between scientists and decision-makers and interdisciplinarity across Ecology, Conservation and Political Science in both research and education. © 2017 Cambridge Philosophical Society.

Indigenous knowledge management to enhance community resilience to tsunami risk: lessons learned from Smong traditions in Simeulue island, Indonesia

NASA Astrophysics Data System (ADS)

Rahman, A.; Sakurai, A.; Munadi, K.

2017-02-01

Knowledge accumulation and production embedded in communities through social interactions meant that the Smong tradition of indigenous knowledge of tsunami risk successfully alerted people to the 2004 tsunami, on the island of Simeulue, in Aceh, Indonesia. Based on this practical example, an indigenous management model was developed for Smong information. This knowledge management method involves the transformation of indigenous knowledge into applicable ways to increase community resilience, including making appropriate decisions and taking action in three disaster phases. First, in the pre-disaster stage, the community needs to be willing to mainstream and integrate indigenous knowledge of disaster risk reduction issues into related activities. Second, during disasters, the Smong tradition should make the community able to think clearly, act based on informed decisions, and protect themselves and others by using their indigenous knowledge. Last, in the post-disaster phase, the community needs to be strong enough to face challenges and support each other and “building back better” efforts, using local resources. The findings for the Smong tradition provide valuable knowledge about community resilience. Primary community resilience to disasters is strongly related to existing knowledge that triggers appropriate decisions and actions during pre-disaster, disaster, and post-disaster phases.

Decision-making based on emotional images.

PubMed

Katahira, Kentaro; Fujimura, Tomomi; Okanoya, Kazuo; Okada, Masato

2011-01-01

The emotional outcome of a choice affects subsequent decision making. While the relationship between decision making and emotion has attracted attention, studies on emotion and decision making have been independently developed. In this study, we investigated how the emotional valence of pictures, which was stochastically contingent on participants' choices, influenced subsequent decision making. In contrast to traditional value-based decision-making studies that used money or food as a reward, the "reward value" of the decision outcome, which guided the update of value for each choice, is unknown beforehand. To estimate the reward value of emotional pictures from participants' choice data, we used reinforcement learning models that have successfully been used in previous studies for modeling value-based decision making. Consequently, we found that the estimated reward value was asymmetric between positive and negative pictures. The negative reward value of negative pictures (relative to neutral pictures) was larger in magnitude than the positive reward value of positive pictures. This asymmetry was not observed in valence for an individual picture, which was rated by the participants regarding the emotion experienced upon viewing it. These results suggest that there may be a difference between experienced emotion and the effect of the experienced emotion on subsequent behavior. Our experimental and computational paradigm provides a novel way for quantifying how and what aspects of emotional events affect human behavior. The present study is a first step toward relating a large amount of knowledge in emotion science and in taking computational approaches to value-based decision making.

Defining decision making: a qualitative study of international experts' views on surgical trainee decision making.

PubMed

Rennie, Sarah C; van Rij, Andre M; Jaye, Chrystal; Hall, Katherine H

2011-06-01

Decision making is a key competency of surgeons; however, how best to assess decisions and decision makers is not clearly established. The aim of the present study was to identify criteria that inform judgments about surgical trainees' decision-making skills. A qualitative free text web-based survey was distributed to recognized international experts in Surgery, Medical Education, and Cognitive Research. Half the participants were asked to identify features of good decisions, characteristics of good decision makers, and essential factors for developing good decision-making skills. The other half were asked to consider these areas in relation to poor decision making. Template analysis of free text responses was performed. Twenty-nine (52%) experts responded to the survey, identifying 13 categories for judging a decision and 14 for judging a decision maker. Twelve features/characteristics overlapped (considered, informed, well timed, aware of limitations, communicated, knowledgeable, collaborative, patient-focused, flexible, able to act on the decision, evidence-based, and coherent). Fifteen categories were generated for essential factors leading to development of decision-making skills that fall into three major themes (personal qualities, training, and culture). The categories compiled from the perspectives of good/poor were predominantly the inverse of each other; however, the weighting given to some categories varied. This study provides criteria described by experts when considering surgical decisions, decision makers, and development of decision-making skills. It proposes a working definition of a good decision maker. Understanding these criteria will enable clinical teachers to better recognize and encourage good decision-making skills and identify poor decision-making skills for remediation.

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

Developing and Testing a New Measurement Instrument for Documenting Instrumental Knowledge Utilisation: The Degrees of Knowledge Utilization (DoKU) Scale

ERIC Educational Resources Information Center

Bøllingtoft Knudsen, Søren

2018-01-01

Focus on evidence-based policymaking is greater than ever, and public spending on evaluations is rising. A primary merit of these expenditures is that politicians actually use new knowledge instrumentally--to influence and inform decision making. Nevertheless, we know surprisingly little about whether and how research-based knowledge is utilised.…

Reconciliation of Decision-Making Heuristics Based on Decision Trees Topologies and Incomplete Fuzzy Probabilities Sets

PubMed Central

Doubravsky, Karel; Dohnal, Mirko

2015-01-01

Complex decision making tasks of different natures, e.g. economics, safety engineering, ecology and biology, are based on vague, sparse, partially inconsistent and subjective knowledge. Moreover, decision making economists / engineers are usually not willing to invest too much time into study of complex formal theories. They require such decisions which can be (re)checked by human like common sense reasoning. One important problem related to realistic decision making tasks are incomplete data sets required by the chosen decision making algorithm. This paper presents a relatively simple algorithm how some missing III (input information items) can be generated using mainly decision tree topologies and integrated into incomplete data sets. The algorithm is based on an easy to understand heuristics, e.g. a longer decision tree sub-path is less probable. This heuristic can solve decision problems under total ignorance, i.e. the decision tree topology is the only information available. But in a practice, isolated information items e.g. some vaguely known probabilities (e.g. fuzzy probabilities) are usually available. It means that a realistic problem is analysed under partial ignorance. The proposed algorithm reconciles topology related heuristics and additional fuzzy sets using fuzzy linear programming. The case study, represented by a tree with six lotteries and one fuzzy probability, is presented in details. PMID:26158662

Reconciliation of Decision-Making Heuristics Based on Decision Trees Topologies and Incomplete Fuzzy Probabilities Sets.

PubMed

Doubravsky, Karel; Dohnal, Mirko

2015-01-01

Complex decision making tasks of different natures, e.g. economics, safety engineering, ecology and biology, are based on vague, sparse, partially inconsistent and subjective knowledge. Moreover, decision making economists / engineers are usually not willing to invest too much time into study of complex formal theories. They require such decisions which can be (re)checked by human like common sense reasoning. One important problem related to realistic decision making tasks are incomplete data sets required by the chosen decision making algorithm. This paper presents a relatively simple algorithm how some missing III (input information items) can be generated using mainly decision tree topologies and integrated into incomplete data sets. The algorithm is based on an easy to understand heuristics, e.g. a longer decision tree sub-path is less probable. This heuristic can solve decision problems under total ignorance, i.e. the decision tree topology is the only information available. But in a practice, isolated information items e.g. some vaguely known probabilities (e.g. fuzzy probabilities) are usually available. It means that a realistic problem is analysed under partial ignorance. The proposed algorithm reconciles topology related heuristics and additional fuzzy sets using fuzzy linear programming. The case study, represented by a tree with six lotteries and one fuzzy probability, is presented in details.

Protocol-based care: the standardisation of decision-making?

PubMed

Rycroft-Malone, Jo; Fontenla, Marina; Seers, Kate; Bick, Debra

2009-05-01

To explore how protocol-based care affects clinical decision-making. In the context of evidence-based practice, protocol-based care is a mechanism for facilitating the standardisation of care and streamlining decision-making through rationalising the information with which to make judgements and ultimately decisions. However, whether protocol-based care does, in the reality of practice, standardise decision-making is unknown. This paper reports on a study that explored the impact of protocol-based care on nurses' decision-making. Theoretically informed by realistic evaluation and the promoting action on research implementation in health services framework, a case study design using ethnographic methods was used. Two sites were purposively sampled; a diabetic and endocrine unit and a cardiac medical unit. Within each site, data collection included observation, postobservation semi-structured interviews with staff and patients, field notes, feedback sessions and document review. Data were inductively and thematically analysed. Decisions made by nurses in both sites were varied according to many different and interacting factors. While several standardised care approaches were available for use, in reality, a variety of information sources informed decision-making. The primary approach to knowledge exchange and acquisition was person-to-person; decision-making was a social activity. Rarely were standardised care approaches obviously referred to; nurses described following a mental flowchart, not necessarily linked to a particular guideline or protocol. When standardised care approaches were used, it was reported that they were used flexibly and particularised. While the logic of protocol-based care is algorithmic, in the reality of clinical practice, other sources of information supported nurses' decision-making process. This has significant implications for the political goal of standardisation. The successful implementation and judicious use of tools such as protocols and guidelines will likely be dependant on approaches that facilitate the development of nurses' decision-making processes in parallel to paying attention to the influence of context.

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.

Knowledge bases, clinical decision support systems, and rapid learning in oncology.

PubMed

Yu, Peter Paul

2015-03-01

One of the most important benefits of health information technology is to assist the cognitive process of the human mind in the face of vast amounts of health data, limited time for decision making, and the complexity of the patient with cancer. Clinical decision support tools are frequently cited as a technologic solution to this problem, but to date useful clinical decision support systems (CDSS) have been limited in utility and implementation. This article describes three unique sources of health data that underlie fundamentally different types of knowledge bases which feed into CDSS. CDSS themselves comprise a variety of models which are discussed. The relationship of knowledge bases and CDSS to rapid learning health systems design is critical as CDSS are essential drivers of rapid learning in clinical care. Copyright © 2015 by American Society of Clinical Oncology.

Towards knowledge-based systems in clinical practice: development of an integrated clinical information and knowledge management support system.

PubMed

Kalogeropoulos, Dimitris A; Carson, Ewart R; Collinson, Paul O

2003-09-01

Given that clinicians presented with identical clinical information will act in different ways, there is a need to introduce into routine clinical practice methods and tools to support the scientific homogeneity and accountability of healthcare decisions and actions. The benefits expected from such action include an overall reduction in cost, improved quality of care, patient and public opinion satisfaction. Computer-based medical data processing has yielded methods and tools for managing the task away from the hospital management level and closer to the desired disease and patient management level. To this end, advanced applications of information and disease process modelling technologies have already demonstrated an ability to significantly augment clinical decision making as a by-product. The wide-spread acceptance of evidence-based medicine as the basis of cost-conscious and concurrently quality-wise accountable clinical practice suffices as evidence supporting this claim. Electronic libraries are one-step towards an online status of this key health-care delivery quality control environment. Nonetheless, to date, the underlying information and knowledge management technologies have failed to be integrated into any form of pragmatic or marketable online and real-time clinical decision making tool. One of the main obstacles that needs to be overcome is the development of systems that treat both information and knowledge as clinical objects with same modelling requirements. This paper describes the development of such a system in the form of an intelligent clinical information management system: a system which at the most fundamental level of clinical decision support facilitates both the organised acquisition of clinical information and knowledge and provides a test-bed for the development and evaluation of knowledge-based decision support functions.

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.

Influencing Factors on Planning Decision-Making among Spanish In-Service Physical Education Teachers. A Population-Based Study

ERIC Educational Resources Information Center

Viciana, Jesús; Mayorga-Vega, Daniel

2017-01-01

Introduction: Traditionally, literature has contributed qualitative approaches for studying how to plan Physical Education (PE). To our knowledge there are not quantitative populationbased studies regarding the decision-making process among in-service Spanish PE teachers. The aim of this study was to analyze possible differences in the factors of…

15 CFR 16.4 - Finding of need to establish a specification for labeling a consumer product.

Code of Federal Regulations, 2010 CFR

2010-01-01

... difficulty experienced by consumers in making informed purchase decisions because of a lack of knowledge... to consumers as a result of an incorrect decision based on an inadequate understanding of the... responding to paragraph (b)(6) of this section, that such test methods are suitable for making objective...

The Pathways fertility preservation decision aid website for women with cancer: development and field testing.

PubMed

Woodard, Terri L; Hoffman, Aubri S; Covarrubias, Laura A; Holman, Deborah; Schover, Leslie; Bradford, Andrea; Hoffman, Derek B; Mathur, Aakrati; Thomas, Jerah; Volk, Robert J

2018-02-01

To improve survivors' awareness and knowledge of fertility preservation counseling and treatment options, this study engaged survivors and providers to design, develop, and field-test Pathways: a fertility preservation patient decision aid website for young women with cancer©. Using an adapted user-centered design process, our stakeholder advisory group and research team designed and optimized the Pathways patient decision aid website through four iterative cycles of review and revision with clinicians (n = 21) and survivors (n = 14). Field-testing (n = 20 survivors) assessed post-decision aid scores on the Fertility Preservation Knowledge Scale, feasibility of assessing women's decision-making values while using the website, and website usability/acceptability ratings. Iterative stakeholder engagement optimized the Pathways decision aid website to meet survivors' and providers' needs, including providing patient-friendly information and novel features such as interactive value clarification exercises, testimonials that model shared decision making, financial/referral resources, and a printable personal summary. Survivors scored an average of 8.2 out of 13 (SD 1.6) on the Fertility Preservation Knowledge Scale. They rated genetic screening and having a biological child as strong factors in their decision-making, and 71% indicated a preference for egg freezing. Most women (> 85%) rated Pathways favorably, and all women (100%) said they would recommend it to other women. The Pathways decision aid is a usable and acceptable tool to help women learn about fertility preservation. The Pathways decision aid may help women make well-informed values-based decisions and prevent future infertility-related distress.

When craft and science collide: Improving therapeutic practices through evidence-based innovations.

PubMed

Justice, Laura M

2010-04-01

Evidence-based practice (EBP) is a model of clinical decision-making that is increasingly being advocated for use in the field of speech-language pathology. With the increased emphasis on scientific evidence as a form of knowledge important to EBP, clinicians may wonder whether their craft-based knowledge (i.e., knowledge derived from theory and practice), remains a legitimate form of knowledge for use in clinician decisions. This article describes forms of knowledge that may be used to address clinical questions, to include both craft and science. Additionally, the steps used when engaging in EBP are described so that clinicians understand when and how craft comes into play. The major premise addressed within this article is that craft is a legitimate form of knowledge and that engagement in EBP requires one to employ craft-based knowledge.

Experiential Knowledge: How Literacy Practices Seek to Mediate Personal and Systemic Change

ERIC Educational Resources Information Center

Gorzelsky, Gwen

2013-01-01

By analyzing Zen guided meditations, I argue that literacy researchers can improve the field's conceptual tools by investigating experiential knowledge. Using work on procedural knowledge and the emotional bases of perception, cognition, and decision making, I show that experiential knowledge drives perceptions and action, thus shaping…

Cognitive Continuum Theory in nursing decision-making.

PubMed

Cader, Raffik; Campbell, Steve; Watson, Don

2005-02-01

The purpose of this paper is to analyse and evaluate Cognitive Continuum Theory and to provide evidence for its relevance to nurses' decision-making. It is critical that theories used in nursing are evaluated to provide an understanding of their aims, concepts and usefulness. With the advent of evidence-based care, theories on decision-making have acquired increased significance. The criteria identified by Fawcett's framework has been used to analyse and evaluate Hammond's Cognitive Continuum Theory. Findings. There is empirical evidence to support many of the concepts and propositions of Cognitive Continuum Theory. The theory has been applied to the decision-making process of many professionals, including medical practitioners and nurses. Existing evidence suggests that Cognitive Continuum Theory can provide the framework to explain decision-making in nursing. Cognitive Continuum Theory has the potential to make major contributions towards understanding the decision-making process of nurses in the clinical environment. Knowledge of the theory in nursing practice has become crucial.

Effects of Student Skill Level on Knowledge, Decision Making, Skill Execution and Game Performance in a Mini-Volleyball Sport Education Season

ERIC Educational Resources Information Center

Mahedero, Pilar; Calderón, Antonio; Arias-Estero, José Luis; Hastie, Peter A.; Guarino, Anthony J.

2015-01-01

The purpose of the paper was to examine the effects of student skill level on knowledge, decision making, skill execution and game performance in a mini-volleyball Sport Education season. Forty-eight secondary school students from two classes participated in a 12 lesson season. Knowledge, decision-making and skill execution (components of game…

Artificial intelligence in cardiology.

PubMed

Bonderman, Diana

2017-12-01

Decision-making is complex in modern medicine and should ideally be based on available data, structured knowledge and proper interpretation in the context of an individual patient. Automated algorithms, also termed artificial intelligence that are able to extract meaningful patterns from data collections and build decisions upon identified patterns may be useful assistants in clinical decision-making processes. In this article, artificial intelligence-based studies in clinical cardiology are reviewed. The text also touches on the ethical issues and speculates on the future roles of automated algorithms versus clinicians in cardiology and medicine in general.

Knowledge of and Attitudes Toward Evidence-Based Guidelines for and Against Clinical Preventive Services: Results from a National Survey.

PubMed

Lantz, Paula M; Evans, W Douglas; Mead, Holly; Alvarez, Carmen; Stewart, Lisa

2016-03-01

Both the underuse and overuse of clinical preventive services relative to evidence-based guidelines are a public health concern. Informed consumers are an important foundation of many components of the Affordable Care Act, including coverage mandates for proven clinical preventive services recommended by the US Preventive Services Task Force. Across sociodemographic groups, however, knowledge of and positive attitudes toward evidence-based guidelines for preventive care are extremely low. Given the demonstrated low levels of consumers' knowledge of and trust in guidelines, coupled with their strong preference for involvement in preventive care decisions, better education and decision-making support for evidence-based preventive services are greatly needed. Both the underuse and overuse of clinical preventive services are a serious public health problem. The goal of our study was to produce population-based national data that could assist in the design of communication strategies to increase knowledge of and positive attitudes toward evidence-based guidelines for clinical preventive services (including the US Preventive Services Task Force, USPSTF) and to reduce uncertainty among patients when guidelines change or are controversial. In late 2013 we implemented an Internet-based survey of a nationally representative sample of 2,529 adults via KnowledgePanel, a probability-based survey panel of approximately 60,000 adults, statistically representative of the US noninstitutionalized population. African Americans, Hispanics, and those with less than a high school education were oversampled. We then conducted descriptive statistics and multivariable logistic regression analysis to identify the prevalence of and sociodemographic characteristics associated with key knowledge and attitudinal variables. While 36.4% of adults reported knowing that the Affordable Care Act requires insurance companies to cover proven preventive services without cost sharing, only 7.7% had heard of the USPSTF. Approximately 1 in 3 (32.6%) reported trusting that a government task force would make fair guidelines for preventive services, and 38.2% believed that the government uses guidelines to ration health care. Most of the respondents endorsed the notion that research/scientific evidence and expert medical opinion are important for the creation of guidelines and that clinicians should follow guidelines based on evidence. But when presented with patient vignettes in which a physician made a guideline-based recommendation against a cancer-screening test, less than 10% believed that this recommendation alone, without further dialogue and/or the patient's own research, was sufficient to make such a decision. Given these demonstrated low levels of knowledge and mistrust regarding guidelines, coupled with a strong preference for shared decision making, better consumer education and decision supports for evidence-based guidelines for clinical preventive services are greatly needed. © 2016 Milbank Memorial Fund.

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.

Systematic review of the empirical investigation of resources to support decision-making regarding BRCA1 and BRCA2 genetic testing in women with breast cancer.

PubMed

Grimmett, Chloe; Pickett, Karen; Shepherd, Jonathan; Welch, Karen; Recio-Saucedo, Alejandra; Streit, Elke; Seers, Helen; Armstrong, Anne; Cutress, Ramsey I; Evans, D Gareth; Copson, Ellen; Meiser, Bettina; Eccles, Diana; Foster, Claire

2018-05-01

Identify existing resources developed and/or evaluated empirically in the published literature designed to support women with breast cancer making decisions regarding genetic testing for BRCA1/2 mutations. Systematic review of seven electronic databases. Studies were included if they described or evaluated resources that were designed to support women with breast cancer in making a decision to have genetic counselling or testing for familial breast cancer. Outcome and process evaluations, using any type of study design, as well as articles reporting the development of decision aids, were eligible for inclusion. Total of 9 publications, describing 6 resources were identified. Resources were effective at increasing knowledge or understanding of hereditary breast cancer. Satisfaction with resources was high. There was no evidence that any resource increased distress, worry or decisional conflict. Few resources included active functionalities for example, values-based exercises, to support decision-making. Tailored resources supporting decision-making may be helpful and valued by patients and increase knowledge of hereditary breast cancer, without causing additional distress. Clinicians should provide supportive written information to patients where it is available. However, there is a need for robustly developed decision tools to support decision-making around genetic testing in women with breast cancer. Copyright © 2017 Elsevier B.V. All rights reserved.

Development and pilot testing of an online case-based approach to shared decision making skills training for clinicians.

PubMed

Volk, Robert J; Shokar, Navkiran K; Leal, Viola B; Bulik, Robert J; Linder, Suzanne K; Mullen, Patricia Dolan; Wexler, Richard M; Shokar, Gurjeet S

2014-11-01

Although research suggests that patients prefer a shared decision making (SDM) experience when making healthcare decisions, clinicians do not routinely implement SDM into their practice and training programs are needed. Using a novel case-based strategy, we developed and pilot tested an online educational program to promote shared decision making (SDM) by primary care clinicians. A three-phased approach was used: 1) development of a conceptual model of the SDM process; 2) development of an online teaching case utilizing the Design A Case (DAC) authoring template, a well-tested process used to create peer-reviewed web-based clinical cases across all levels of healthcare training; and 3) pilot testing of the case. Participants were clinician members affiliated with several primary care research networks across the United States who answered an invitation email. The case used prostate cancer screening as the clinical context and was delivered online. Post-intervention ratings of clinicians' general knowledge of SDM, knowledge of specific SDM steps, confidence in and intention to perform SDM steps were also collected online. Seventy-nine clinicians initially volunteered to participate in the study, of which 49 completed the case and provided evaluations. Forty-three clinicians (87.8%) reported the case met all the learning objectives, and 47 (95.9%) indicated the case was relevant for other equipoise decisions. Thirty-one clinicians (63.3%) accessed supplementary information via links provided in the case. After viewing the case, knowledge of SDM was high (over 90% correctly identified the steps in a SDM process). Determining a patient's preferred role in making the decision (62.5% very confident) and exploring a patient's values (65.3% very confident) about the decisions were areas where clinician confidence was lowest. More than 70% of the clinicians intended to perform SDM in the future. A comprehensive model of the SDM process was used to design a case-based approach to teaching SDM skills to primary care clinicians. The case was favorably rated in this pilot study. Clinician skills training for helping patients clarify their values and for assessing patients' desire for involvement in decision making remain significant challenges and should be a focus of future comparative studies.

Integration of evidence-based knowledge management in microsystems: a tele-ICU experience.

PubMed

Rincon, Teresa A

2012-01-01

The Institute of Medicine's proposed 6 aims to improve health care are timely, safe, effective, efficient, equitable, and patient-centered care. Unfortunately, it also asserts that improvements in these 6 dimensions cannot be achieved within the existing framework of care systems. These systems are based on unrealistic expectations on human cognition and vigilance, and demonstrate a lack of dependence on computerized systems to support care processes and put information at the point of use. Knowledge-based care and evidence-based clinical decision-making need to replace the unscientific care that is being delivered in health care. Building care practices on evidence within an information technology platform is needed to support sound clinical decision-making and to influence organizational adoption of evidence-based practice in health care. Despite medical advances and evidence-based recommendations for treatment of severe sepsis, it remains a significant cause of mortality and morbidity in the world. It is a complex disease state that has proven difficult to define, diagnose, and treat. Supporting bedside teams with real-time knowledge and expertise to target early identification of severe sepsis and compliance to Surviving Sepsis Campaign, evidence-based practice bundles are important to improving outcomes. Using a centralized, remote team of expert nurses and an open-source software application to advance clinical decision-making and execution of the severe sepsis bundle will be examined.

Exploratory Decision-Making as a Function of Lifelong Experience, Not Cognitive Decline

PubMed Central

2016-01-01

Older adults perform worse than younger adults in some complex decision-making scenarios, which is commonly attributed to age-related declines in striatal and frontostriatal processing. Recently, this popular account has been challenged by work that considered how older adults’ performance may differ as a function of greater knowledge and experience, and by work showing that, in some cases, older adults outperform younger adults in complex decision-making tasks. In light of this controversy, we examined the performance of older and younger adults in an exploratory choice task that is amenable to model-based analyses and ostensibly not reliant on prior knowledge. Exploration is a critical aspect of decision-making poorly understood across the life span. Across 2 experiments, we addressed (a) how older and younger adults differ in exploratory choice and (b) to what extent observed differences reflect processing capacity declines. Model-based analyses suggested that the strategies used by the 2 groups were qualitatively different, resulting in relatively worse performance for older adults in 1 decision-making environment but equal performance in another. Little evidence was found that differences in processing capacity drove performance differences. Rather the results suggested that older adults’ performance might result from applying a strategy that may have been shaped by their wealth of real-word decision-making experience. While this strategy is likely to be effective in the real world, it is ill suited to some decision environments. These results underscore the importance of taking into account effects of experience in aging studies, even for tasks that do not obviously tap past experiences. PMID:26726916

Informed shared decision-making supported by decision coaches for women with ductal carcinoma in situ: study protocol for a cluster randomized controlled trial.

PubMed

Berger-Höger, Birte; Liethmann, Katrin; Mühlhauser, Ingrid; Haastert, Burkhard; Steckelberg, Anke

2015-10-12

Women with breast cancer want to participate in treatment decision-making. Guidelines have confirmed the right of informed shared decision-making. However, previous research has shown that the implementation of informed shared decision-making is suboptimal for reasons of limited resources of physicians, power imbalances between patients and physicians and missing evidence-based patient information. We developed an informed shared decision-making program for women with primary ductal carcinoma in situ (DCIS). The program provides decision coaching for women by specialized nurses and aims at supporting involvement in decision-making and informed choices. In this trial, the informed shared decision-making program will be evaluated in breast care centers. A cluster randomized controlled trial will be conducted to compare the informed shared decision-making program with standard care. The program comprises an evidence-based patient decision aid and training of physicians (2 hours) and specialized breast care and oncology nurses (4 days) in informed shared decision-making. Sixteen certified breast care centers will be included, with 192 women with primary DCIS being recruited. Primary outcome is the extent of patients' involvement in shared decision-making as assessed by the MAPPIN-Odyad (Multifocal approach to the 'sharing' in shared decision-making: observer instrument dyad). Secondary endpoints include the sub-measures of the MAPPIN-inventory (MAPPIN-Onurse, MAPPIN-Ophysician, MAPPIN-Opatient, MAPPIN-Qnurse, MAPPIN-Qpatient and MAPPIN-Qphysician), informed choice, decisional conflict and the duration of encounters. It is expected that decision coaching and the provision of evidence-based patient decision aids will increase patients' involvement in decision-making with informed choices and reduce decisional conflicts and duration of physician encounters. Furthermore, an accompanying process evaluation will be conducted. To our knowledge, this is the first study investigating the implementation of decision coaches in German breast care centers. Current Controlled Trials ISRCTN46305518 , date of registration: 5 June 2015.

Development and validation of a musculoskeletal physical examination decision-making test for medical students.

PubMed

Bishop, Julie Y; Awan, Hisham M; Rowley, David M; Nagel, Rollin W

2013-01-01

Despite a renewed emphasis among educators, musculoskeletal education is still lacking in medical school and residency training programs. We created a musculoskeletal multiple-choice physical examination decision-making test to assess competency and physical examination knowledge of our trainees. We developed a 20-question test in musculoskeletal physical examination decision-making test with content that most medical students and orthopedic residents should know. All questions were reviewed by ratings of US orthopedic chairmen. It was administered to postgraduate year 2 to 5 orthopedic residents and 2 groups of medical students: 1 group immediately after their 3-week musculoskeletal course and the other 1 year after the musculoskeletal course completion. We hypothesized that residents would score highest, medical students 1 year post-musculoskeletal training lowest, and students immediately post-musculoskeletal training midrange. We administered an established cognitive knowledge test to compare student knowledge base as we expected the scores to correlate. Academic medical center in the Midwestern United States. Orthopedic residents, chairmen, and medical students. Fifty-four orthopedic chairmen (54 of 110 or 49%) responded to our survey, rating a mean overall question importance of 7.12 (0 = Not Important; 5 = Important; 10 = Very Important). Mean physical examination decision-making scores were 89% for residents, 77% for immediate post-musculoskeletal trained medical students, and 59% 1 year post-musculoskeletal trained medical students (F = 42.07, p<0.001). The physical examination decision-making test was found to be internally consistent (Kuder-Richardson Formula 20 = 0.69). The musculoskeletal cognitive knowledge test was 78% for immediate post-musculoskeletal trained students and 71% for the 1 year post-musculoskeletal trained students. The student physical examination and cognitive knowledge scores were correlated (r = 0.54, p<0.001), but were not significantly different for either class. The physical examination decision-making test was found to be internally consistent in exposing the deficiencies of musculoskeletal education skills of our medical students and differentiated between ability levels in musculoskeletal physical examination decision-making (residents vs recently instructed musculoskeletal students vs 1 year post-musculoskeletal instruction). Copyright © 2013 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Cross-sectional study to examine evidence-based practice skills and behaviors of physical therapy graduates: is there a knowledge-to-practice gap?

PubMed

Manns, Patricia J; Norton, Amy V; Darrah, Johanna

2015-04-01

Curricula changes in physical therapist education programs in Canada emphasize evidence-based practice skills, including literature retrieval and evaluation. Do graduates use these skills in practice? The aim of this study was to evaluate the use of research information in the clinical decision making of therapists with different years of experience and evidence-based practice preparation. Perceptions about evidence-based practice were explored qualitatively. A cross-sectional study with 4 graduating cohorts was conducted. Eighty physical therapists representing 4 different graduating cohorts participated in interviews focused on 2 clinical scenarios. Participants had varying years of clinical experience (range=1-15 years) and academic knowledge of evidence-based practice skills. Therapists discussed the effectiveness of interventions related to the scenarios and identified the sources of information used to reach decisions. Participants also answered general questions related to evidence-based practice knowledge. Recent graduates demonstrated better knowledge of evidence-based practice skills compared with therapists with 6 to 15 years of clinical experience. However, all groups used clinical experience most frequently as their source of information for clinical decisions. Research evidence was infrequently included in decision making. This study used a convenience sample of therapists who agreed to volunteer for the study. The results suggest a knowledge-to-practice gap; graduates are not using the new skills to inform their practice. Tailoring academic evidence-based activities more to the time constraints of clinical practice may help students to be more successful in applying evidence in practice. Academic programs need to do more to create and nurture environments in both academic and clinical settings to ensure students practice using evidence-based practice skills across settings. © 2015 American Physical Therapy Association.

Intelligent data management for real-time spacecraft monitoring

NASA Technical Reports Server (NTRS)

Schwuttke, Ursula M.; Gasser, Les; Abramson, Bruce

1992-01-01

Real-time AI systems have begun to address the challenge of restructuring problem solving to meet real-time constraints by making key trade-offs that pursue less than optimal strategies with minimal impact on system goals. Several approaches for adapting to dynamic changes in system operating conditions are known. However, simultaneously adapting system decision criteria in a principled way has been difficult. Towards this end, a general technique for dynamically making such trade-offs using a combination of decision theory and domain knowledge has been developed. Multi-attribute utility theory (MAUT), a decision theoretic approach for making one-time decisions is discussed and dynamic trade-off evaluation is described as a knowledge-based extension of MAUT that is suitable for highly dynamic real-time environments, and provides an example of dynamic trade-off evaluation applied to a specific data management trade-off in a real-world spacecraft monitoring application.

Knowledge producers or knowledge consumers? Argumentation and decision making about environmental management

NASA Astrophysics Data System (ADS)

JiméNez-Aleixandre, Maria-Pilar

2002-11-01

This paper describes a case study involving decision making and argumentation, in the context of wetland environmental management, by 11th-grade students (16-17 years old). The purpose was to study the components of knowledge and skills needed to reach a decision in socio-scientific contexts and to identify them in classroom discourse. The following dimensions of decision making were explored: the use of relevant knowledge to understand and make decisions about the problem; and the critical processing of sources of information and authority and the development of criteria for evaluating possible solutions to the problem. Students' conversations were recorded and analysed using Toulmin's (1958) and Walton's (1996) argument schemes. The students' arguments and warrants were compared with the argument of an external 'official' expert. Issues such as expert status, that is, who can be considered as a source of knowledge and authority and the participation of citizens in scientific practice are also discussed.

Discovering Decision Knowledge from Web Log Portfolio for Managing Classroom Processes by Applying Decision Tree and Data Cube Technology.

ERIC Educational Resources Information Center

Chen, Gwo-Dong; Liu, Chen-Chung; Ou, Kuo-Liang; Liu, Baw-Jhiune

2000-01-01

Discusses the use of Web logs to record student behavior that can assist teachers in assessing performance and making curriculum decisions for distance learning students who are using Web-based learning systems. Adopts decision tree and data cube information processing methodologies for developing more effective pedagogical strategies. (LRW)

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

Considering Spine Surgery: A Web-Based Calculator for Communicating Estimates of Personalized Treatment Outcomes.

PubMed

Moulton, Haley; Tosteson, Tor D; Zhao, Wenyan; Pearson, Loretta; Mycek, Kristina; Scherer, Emily; Weinstein, James N; Pearson, Adam; Abdu, William; Schwarz, Susan; Kelly, Michael; McGuire, Kevin; Milam, Alden; Lurie, Jon D

2018-06-05

Prospective evaluation of an informational web-based calculator for communicating estimates of personalized treatment outcomes. To evaluate the usability, effectiveness in communicating benefits and risks, and impact on decision quality of a calculator tool for patients with intervertebral disc herniations, spinal stenosis, and degenerative spondylolisthesis who are deciding between surgical and non-surgical treatments. The decision to have back surgery is preference-sensitive and warrants shared decision-making. However, more patient-specific, individualized tools for presenting clinical evidence on treatment outcomes are needed. Using Spine Patient Outcomes Research Trial (SPORT) data, prediction models were designed and integrated into a web-based calculator tool: http://spinesurgerycalc.dartmouth.edu/calc/. Consumer Reports subscribers with back-related pain were invited to use the calculator via email, and patient participants were recruited to use the calculator in a prospective manner following an initial appointment at participating spine centers. Participants completed questionnaires before and after using the calculator. We randomly assigned previously validated questions that tested knowledge about the treatment options to be asked either before or after viewing the calculator. 1,256 Consumer Reports subscribers and 68 patient participants completed the calculator and questionnaires. Knowledge scores were higher in the post-calculator group compared to the pre-calculator group, indicating that calculator usage successfully informed users. Decisional conflict was lower when measured following calculator use, suggesting the calculator was beneficial in the decision-making process. Participants generally found the tool helpful and easy to use. While the calculator is not a comprehensive decision aid, it does focus on communicating individualized risks and benefits for treatment options. Moreover, it appears to be helpful in achieving the goals of more traditional shared decision-making tools. It not only improved knowledge scores but also improved other aspects of decision quality.

Evidence-Based Decision Making in Public Health: Capacity Building for Public Health Students at King Saud University in Riyadh.

PubMed

Wahabi, Hayfaa A; Siddiqui, Amna Rehana; Mohamed, Ashry G; Al-Hazmi, Ali M; Zakaria, Nasriah; Al-Ansary, Lubna A

2015-01-01

Translation of research evidence into public health programs is lagging in Eastern Mediterranean Region. Graduate level public health curriculum at King Saud University (KSU), College of Medicine, Riyadh, is designed to equip students to integrate best available evidence in public health decision making. The objectives of study were to explore students' opinion about the evidence based public health (EBPH) courses and to survey the knowledge, opinion, and attitude of the students towards EBPH and perceived barriers for implementation of EBPH in decision making in public health. EBPH courses are designed based on a sequential framework. A survey was conducted at the completion of EBPH courses. Forty-five graduate students were invited to complete a validated self-administered questionnaire. It included questions about demography, opinion, and attitude towards EBPH and perceived barriers towards implementation of EBPH in the work environment. The response rate was 73%. Mean age of students was 30.1 (SD 2.3) years, and 51% were males. More than 80% had sound knowledge and could appreciate the importance of EBPH. The main perceived barriers to incorporate EBPH in decision making were lack of system of communication between researchers and policy makers and scarcity of research publications related to the public health problems.

The Role of Dysfunctional Myths in a Decision-Making Process under Bounded Rationality: A Complex Dynamical Systems Perspective.

PubMed

Stamovlasis, Dimitrios; Vaiopoulou, Julie

2017-07-01

The present study examines the factors influencing a decision-making process, with specific focus on the role of dysfunctional myths (DM). DM are thoughts or beliefs that are rather irrational, however influential to people's decisions. In this paper a decision-making process regarding the career choice of university students majoring in natural sciences and education (N=496) is examined by analyzing survey data taken via Career Decision Making Difficulties Questionnaire (CDDQ). The difficulty of making the choice and the certainty about one's decision were the state variables, while the independent variables were factors related to the lack of information or knowledge needed, which actually reflect a bounded rationality. Cusp catastrophe analysis, based on both least squares and maximum likelihood procedures, showed that the nonlinear models predicting the two state variables were superior to linear alternatives. Factors related to lack of knowledge about the steps involved in the process of career decision-making, lack of information about the various occupations, lack of information about self and lack of motivation acted as asymmetry, while dysfunctional myths acted as bifurcation factor for both state variables. The catastrophe model, grounded in empirical data, revealed a unique role for DM and a better interpretation within the context of complexity and the notion of bounded rationality. The analysis opens the nonlinear dynamical systems (NDS) perspective in studying decision-making processes. Theoretical and practical implications are discussed.

A Review of Shared Decision-Making and Patient Decision Aids in Radiation Oncology.

PubMed

Woodhouse, Kristina Demas; Tremont, Katie; Vachani, Anil; Schapira, Marilyn M; Vapiwala, Neha; Simone, Charles B; Berman, Abigail T

2017-06-01

Cancer treatment decisions are complex and may be challenging for patients, as multiple treatment options can often be reasonably considered. As a result, decisional support tools have been developed to assist patients in the decision-making process. A commonly used intervention to facilitate shared decision-making is a decision aid, which provides evidence-based outcomes information and guides patients towards choosing the treatment option that best aligns with their preferences and values. To ensure high quality, systematic frameworks and standards have been proposed for the development of an optimal aid for decision making. Studies have examined the impact of these tools on facilitating treatment decisions and improving decision-related outcomes. In radiation oncology, randomized controlled trials have demonstrated that decision aids have the potential to improve patient outcomes, including increased knowledge about treatment options and decreased decisional conflict with decision-making. This article provides an overview of the shared-decision making process and summarizes the development, validation, and implementation of decision aids as patient educational tools in radiation oncology. Finally, this article reviews the findings from decision aid studies in radiation oncology and offers various strategies to effectively implement shared decision-making into clinical practice.

The Demands of Decentralization: Skills and Knowledge for Leaders in Restructured Schools

ERIC Educational Resources Information Center

Gok, Kubilay; Peterson, Kent D.; Warren, Valli D.

2005-01-01

One of the most visible and widespread of the current educational reforms is the attempt to decentralize authority to schools and to involve teachers and others in shared decision making. Often occurring together as site-based shared decision making (SBDM), this reform is turning out to be more difficult to implement than once thought. Few noted…

Evidence-Based Administration for Decision Making in the Framework of Knowledge Strategic Management

ERIC Educational Resources Information Center

Del Junco, Julio Garcia; Zaballa, Rafael De Reyna; de Perea, Juan Garcia Alvarez

2010-01-01

Purpose: This paper seeks to present a model based on evidence-based administration (EBA), which aims to facilitate the creation, transformation and diffusion of knowledge in learning organizations. Design/methodology/approach: A theoretical framework is proposed based on EBA and the case method. Accordingly, an empirical study was carried out in…

Next generation data systems and knowledge products to support agricultural producers and science-based policy decision making.

PubMed

Capalbo, Susan M; Antle, John M; Seavert, Clark

2017-07-01

Research on next generation agricultural systems models shows that the most important current limitation is data, both for on-farm decision support and for research investment and policy decision making. One of the greatest data challenges is to obtain reliable data on farm management decision making, both for current conditions and under scenarios of changed bio-physical and socio-economic conditions. This paper presents a framework for the use of farm-level and landscape-scale models and data to provide analysis that could be used in NextGen knowledge products, such as mobile applications or personal computer data analysis and visualization software. We describe two analytical tools - AgBiz Logic and TOA-MD - that demonstrate the current capability of farmlevel and landscape-scale models. The use of these tools is explored with a case study of an oilseed crop, Camelina sativa , which could be used to produce jet aviation fuel. We conclude with a discussion of innovations needed to facilitate the use of farm and policy-level models to generate data and analysis for improved knowledge products.

Effects of Improved Content Knowledge on Pedagogical Content Knowledge and Student Performance in Physical Education

ERIC Educational Resources Information Center

Iserbyt, Peter; Ward, Phillip; Li, Weidong

2017-01-01

Background: Pedagogical content knowledge (PCK) is an interaction of several knowledge bases upon which the teacher makes decisions about what and how to teach. To date, there are no studies in physical education directly documenting relationships between specialized content knowledge (SCK) and PCK. Such relationships have not been empirically…

A methodology for eliciting, representing, and analysing stakeholder knowledge for decision making on complex socio-ecological systems: from cognitive maps to agent-based models.

PubMed

Elsawah, Sondoss; Guillaume, Joseph H A; Filatova, Tatiana; Rook, Josefine; Jakeman, Anthony J

2015-03-15

This paper aims to contribute to developing better ways for incorporating essential human elements in decision making processes for modelling of complex socio-ecological systems. It presents a step-wise methodology for integrating perceptions of stakeholders (qualitative) into formal simulation models (quantitative) with the ultimate goal of improving understanding and communication about decision making in complex socio-ecological systems. The methodology integrates cognitive mapping and agent based modelling. It cascades through a sequence of qualitative/soft and numerical methods comprising: (1) Interviews to elicit mental models; (2) Cognitive maps to represent and analyse individual and group mental models; (3) Time-sequence diagrams to chronologically structure the decision making process; (4) All-encompassing conceptual model of decision making, and (5) computational (in this case agent-based) Model. We apply the proposed methodology (labelled ICTAM) in a case study of viticulture irrigation in South Australia. Finally, we use strengths-weakness-opportunities-threats (SWOT) analysis to reflect on the methodology. Results show that the methodology leverages the use of cognitive mapping to capture the richness of decision making and mental models, and provides a combination of divergent and convergent analysis methods leading to the construction of an Agent Based Model. Copyright © 2014 Elsevier Ltd. All rights reserved.

Shared decision making in Swedish community mental health services - an evaluation of three self-reporting instruments.

PubMed

Rosenberg, David; Schön, Ulla-Karin; Nyholm, Maria; Grim, Katarina; Svedberg, Petra

2017-04-01

Despite the potential impact of shared decision making on users satisfaction with care and quality in health care decisions, there is a lack of knowledge and skills regarding how to work with shared decision making among health care providers. The aim of this study was to evaluate the psychometric properties of three instruments that measure varied dimensions of shared decision making, based on self-reports by clients, in a Swedish community mental health context. The study sample consisted of 121 clients with experience of community mental health care, and involved in a wide range of decisions regarding both social support and treatment. The questionnaires were examined for face and content validity, internal consistency, test-retest reliability and construct validity. The instruments displayed good face and content validity, satisfactory internal consistency and a moderate to good level of stability in test-retest reliability with fair to moderate construct correlations, in a sample of clients with serious mental illness and experience of community mental health services in Sweden. The questionnaires are considered to be relevant to the decision making process, user-friendly and appropriate in a Swedish community mental health care context. They functioned well in settings where non-medical decisions, regarding social and support services, are the primary focus. The use of instruments that measure various dimensions of the self-reported experience of clients, can be a key factor in developing knowledge of how best to implement shared decision making in mental health services.

Patient Involvement in Health Care Decision Making: A Review

PubMed Central

Vahdat, Shaghayegh; Hamzehgardeshi, Leila; Hessam, Somayeh; Hamzehgardeshi, Zeinab

2014-01-01

Background: Patient participation means involvement of the patient in decision making or expressing opinions about different treatment methods, which includes sharing information, feelings and signs and accepting health team instructions. Objectives: Given the importance of patient participation in healthcare decision making which empowers patients and improves services and health outcomes, this study was performed to review previous studies on patient participation in healthcare decision making. Materials and Methods: To prepare this narrative review article, researchers used general and specific search engines, as well as textbooks addressing this subject for an in-depth study of patient involvement in healthcare decision-making. As a result, 35 (out of 100 relevant) articles and also two books were selected for writing this review article. Results: Based on the review of articles and books, topics were divided into six general categories: definition of participation, importance of patient participation, factors influencing participation of patients in healthcare decisions, method of patient participation, tools for evaluating participation, and benefits and consequences of patient participation in health care decision-making. Conclusions: In most studies, factors influencing patient participation consisted of: factors associated with health care professionals such as doctor-patient relationship, recognition of patient’s knowledge, allocation of sufficient time for participation, and also factors related to patients such as having knowledge, physical and cognitive ability, and emotional connections, beliefs, values and their experiences in relation to health services. PMID:24719703

Hospital Bioethics: A Beginning Knowledge Base for the Neonatal Social Worker.

ERIC Educational Resources Information Center

Silverman, Ed

1992-01-01

Notes that life-saving advances in medicine have created difficult ethical and legal dilemmas for health care professionals. Presents beginning knowledge base for bioethical practice, especially in hospital neonatal units. Outlines key elements of bioethical decision making and examines potential social work role from clinical and organizational…

Clinical reasoning and population health: decision making for an emerging paradigm of health care.

PubMed

Edwards, Ian; Richardson, Barbara

2008-01-01

Chronic conditions now provide the major disease and disability burden facing humanity. This development has necessitated a reorientation in the practice skills of health care professions away from hospital-based inpatient and outpatient care toward community-based management of patients with chronic conditions. Part of this reorientation toward community-based management of chronic conditions involves practitioners' understanding and adoption of a concept of population health management based on appropriate theoretical models of health care. Drawing on recent studies of expertise in physiotherapy, this article proposes a clinical reasoning and decision-making framework to meet these challenges. The challenge of population and community-based management of chronic conditions also provides an opportunity for physiotherapists to further clarify a professional epistemology of practice that embraces the kinds of knowledge and clinical reasoning processes used in physiotherapy practice. Three case studies related to the management of chronic musculoskeletal pain in different populations are used to exemplify the range of epistemological perspectives that underpin community-based practice. They illustrate the link between conceptualizations of practice problems and knowledge sources that are used as a basis for clinical reasoning and decision making as practitioners are increasingly required to move between the clinic and the community.

The dynamic interplay between perceived true self-knowledge and decision satisfaction.

PubMed

Schlegel, Rebecca J; Hicks, Joshua A; Davis, William E; Hirsch, Kelly A; Smith, Christina M

2013-03-01

The present research used multiple methods to examine the hypothesis that perceived true self-knowledge and decision satisfaction are inextricably linked together by a widely held "true-self-as-guide" lay theory of decision making. Consistent with this proposition, Study 1 found that participants rated using the true self as a guide as more important for achieving personal satisfaction than a variety of other potential decision-making strategies. After establishing the prevalence of this lay theory, the remaining studies then focused on examining the proposed consequent relationship between perceived true self-knowledge and decision satisfaction. Consistent with hypotheses, 2 cross-sectional correlational studies (Studies 2 and 3) found a positive relationship between perceived true self-knowledge and decision satisfaction for different types of major decisions. Study 4 used daily diary methods to demonstrate that fluctuations in perceived true self-knowledge reliably covary with fluctuations in decision satisfaction. Finally, 2 studies directly examined the causal direction of this relationship through experimental manipulation and revealed that the relationship is truly bidirectional. More specifically, Study 5 showed that manipulating perceived knowledge of the true self (but not other self-concepts) directly affects decision satisfaction. Study 6 showed that this effect also works in reverse by manipulating feelings of decision satisfaction, which directly affected perceived knowledge of the true self (but not other self-concepts). Taken together, these studies suggest that people believe the true self should be used as a guide when making major life decisions and that this belief has observable consequences for the self and decision making. PsycINFO Database Record (c) 2013 APA, all rights reserved

Semantic Clinical Guideline Documents

PubMed Central

Eriksson, Henrik; Tu, Samson W.; Musen, Mark

2005-01-01

Decision-support systems based on clinical practice guidelines can support physicians and other health-care personnel in the process of following best practice consistently. A knowledge-based approach to represent guidelines makes it possible to encode computer-interpretable guidelines in a formal manner, perform consistency checks, and use the guidelines directly in decision-support systems. Decision-support authors and guideline users require guidelines in human-readable formats in addition to computer-interpretable ones (e.g., for guideline review and quality assurance). We propose a new document-oriented information architecture that combines knowledge-representation models with electronic and paper documents. The approach integrates decision-support modes with standard document formats to create a combined clinical-guideline model that supports on-line viewing, printing, and decision support. PMID:16779037

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

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.

Passing the Bubble: Cognitive Efficiency of Augmented Video for Collaborative Transfer of Situational Understanding

DTIC Science & Technology

2003-01-01

media factors affecting: • Shared Understanding – explicit and operational knowledge • Decision-Making – what information format best helps decision...Passing the Bubble: Cognitive Efficiency of Augmented Video for Collaborative Transfer of Situational Understanding Collaboration and Knowledge ...operational knowledge ? • Informed Decision-Making – what information format is best to pass the bubble to a decision-maker 1/14/2003 ONR David Kirsh

Adherence to infection prevention and control guidelines: A vignette-based study of decision-making and risk-taking in young adults with cystic fibrosis.

PubMed

Bowmer, Grace; Latchford, Gary; Duff, Alistair; Denton, Miles; Dye, Louise; Lawton, Clare; Lee, Tim

2017-01-01

Balancing cystic fibrosis (CF) care with demands of normal life is associated with decreased adherence to infection prevention and control (IPC) guidelines. Adults with CF, aged 18-25years, were invited to participate via UK CF Trust social media platforms. An online survey evaluated participants' decision-making in nine clinician-rated vignettes and assessed the perceived influence of infection-related information sources. Participants (n=87, mean 21.4years [SD=2.45]; 75% female) were less likely to engage in the high-risk scenarios, although demonstrated greater awareness of cross-infection than environmental risks. Associations between risk-perception and willingness to participate in five vignette-based hypothetical activities were significant (p<0.05). Thematic analysis emphasised influences of past experience and a need to achieve good quality of life. Knowledge gaps were evident. People with CF make decisions that discriminate between risk-levels but are not always based on robust knowledge. They also show some inclination towards engaging in risky behaviours. Copyright © 2016 European Cystic Fibrosis Society. Published by Elsevier B.V. All rights reserved.

Dentists' restorative decision-making and implications for an 'amalgamless' profession. Part 5: knowledge factors.

PubMed

Alexander, G; Hopcraft, M S; Tyas, M J; Wong, Rhk

2017-12-01

A phase-down of amalgam in Australia is possible given the Australian Government intends to ratify the Minamata Convention. There is little research as to the influence of a dentist's knowledge on decision-making, which may be of use when determining the impact of any change. An online survey relating to aspects of and attitudes to use of direct restorative materials was distributed to all dentists who were members of the Australian Dental Association or Members or Fellows of the Royal Australasian College of Dental Surgeons. There were 408 respondents. Fifty-eight per cent agreed that there was consistency in undergraduate teaching. Fifty-two per cent stated that there was a difference between undergraduate teaching and the 'real world'. Postgraduate education was ranked the most important influence on decision-making. Ninety-six per cent stated that knowledge of the evidence base is important and 89% believed that they practised evidence-based dentistry. Dental schools need to maintain teachers' and students' understanding of the evolving technology of direct restorative materials. There is a perceived disconnect between undergraduate teaching and the 'real' world. The evidence base is viewed as confusing, contradictory and not readily understandable. The creation of clinical guidelines would be useful. © 2017 Australian Dental Association.

Shared decision making and patient decision aids: knowledge, attitudes, and practices among Hawai'i physicians.

PubMed

Alden, Dana L; Friend, John; Chun, Maria B J

2013-11-01

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

Improving Medical Students' Application of Knowledge and Clinical Decision-Making Through a Porcine-Based Integrated Cardiac Basic Science Program.

PubMed

Stott, Martyn Charles; Gooseman, Michael Richard; Briffa, Norman Paul

2016-01-01

Despite the concerted effort of modern undergraduate curriculum designers, the ability to integrate basic sciences in clinical rotations is an ongoing problem in medical education. Students and newly qualified doctors themselves report worry about the effect this has on their clinical performance. There are examples in the literature to support development of attempts at integrating such aspects, but this "vertical integration" has proven to be difficult. We designed an expert-led integrated program using dissection of porcine hearts to improve the use of cardiac basic sciences in clinical medical students' decision-making processes. To our knowledge, this is the first time in the United Kingdom that an animal model has been used to teach undergraduate clinical anatomy to medical students to direct wider application of knowledge. Action research methodology was used to evaluate the local curriculum and assess learners needs, and the agreed teaching outcomes, methods, and delivery outline were established. A total of 18 students in the clinical years of their degree program attended, completing precourse and postcourse multichoice questions examinations and questionnaires to assess learners' development. Student's knowledge scores improved by 17.5% (p = 0.01; students t-test). Students also felt more confident at applying underlying knowledge to decision-making and diagnosis in clinical medicine. An expert teacher (consultant surgeon) was seen as beneficial to students' understanding and appreciation. This study outlines how the development of a teaching intervention using porcine-based methods successfully improved both student's knowledge and application of cardiac basic sciences. We recommend that clinicians fully engage with integrating previously learnt underlying sciences to aid students in developing decision-making and diagnostic skills as well as a deeper approach to learning. Copyright © 2016 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Antibiotic and shared decision-making preferences among adolescents in Malaysia

PubMed Central

Ngadimon, Irma Wati; Islahudin, Farida; Hatah, Ernieda; Mohamed Shah, Noraida; Makmor-Bakry, Mohd

2015-01-01

Background The purpose of this study was to establish baseline information on the current level of knowledge about, attitude toward, and experience with antibiotic usage, and preferences for shared decision making among adolescents in Malaysia. Methods A cross-sectional survey, involving 1,105 respondents who were aged between 13 and 17 years and who lived in Malaysia, was conducted using a validated questionnaire. The survey assessed knowledge, attitude, and experience with regard to antibiotic usage, and adolescents’ preferences for the style of shared decision-making process. Results The majority (n=786 [71.13%]) of the respondents had a low level of knowledge, 296 (26.79%) had a moderate level of knowledge, and 23 (2.08%) had a high level of knowledge. Further, they demonstrated a slightly negative attitude mean score of 3.30±0.05 (range: 0–8 points) but a positive experience mean score of 2.90±0.029 (range: 0–4 points). There was a positive correlation between knowledge and attitude scores, with a higher knowledge level associated with a more positive attitude toward antibiotic usage (r=0.257, P<0.001). Higher knowledge scores were associated with a more negative experience with antibiotic usage (r=−0.83, P=0.006). When assessing preference in shared decision making, more adolescents preferred an active role (n=408 [37%]) compared with collaborative (n=360 [32.6%]) or passive (n=337 [30.5%]) (P=0.028) roles. Conclusion Current health care settings should involve adolescents in the decision-making process. Education packages can be introduced to improve adolescents’ knowledge of and practice of taking antibiotics, as well as to encourage their participation in decision making, in an attempt to reduce misuse of antibiotics. PMID:25999702

Clinical, information and business process modeling to promote development of safe and flexible software.

PubMed

Liaw, Siaw-Teng; Deveny, Elizabeth; Morrison, Iain; Lewis, Bryn

2006-09-01

Using a factorial vignette survey and modeling methodology, we developed clinical and information models - incorporating evidence base, key concepts, relevant terms, decision-making and workflow needed to practice safely and effectively - to guide the development of an integrated rule-based knowledge module to support prescribing decisions in asthma. We identified workflows, decision-making factors, factor use, and clinician information requirements. The Unified Modeling Language (UML) and public domain software and knowledge engineering tools (e.g. Protégé) were used, with the Australian GP Data Model as the starting point for expressing information needs. A Web Services service-oriented architecture approach was adopted within which to express functional needs, and clinical processes and workflows were expressed in the Business Process Execution Language (BPEL). This formal analysis and modeling methodology to define and capture the process and logic of prescribing best practice in a reference implementation is fundamental to tackling deficiencies in prescribing decision support software.

Integrating conflict analysis and consensus reaching in a decision support system for water resource management.

PubMed

Giordano, R; Passarella, G; Uricchio, V F; Vurro, M

2007-07-01

The importance of shared decision processes in water management derives from the awareness of the inadequacy of traditional--i.e. engineering--approaches in dealing with complex and ill-structured problems. It is becoming increasingly obvious that traditional problem solving and decision support techniques, based on optimisation and factual knowledge, have to be combined with stakeholder based policy design and implementation. The aim of our research is the definition of an integrated decision support system for consensus achievement (IDSS-C) able to support a participative decision-making process in all its phases: problem definition and structuring, identification of the possible alternatives, formulation of participants' judgments, and consensus achievement. Furthermore, the IDSS-C aims at structuring, i.e. systematising the knowledge which has emerged during the participative process in order to make it comprehensible for the decision-makers and functional for the decision process. Problem structuring methods (PSM) and multi-group evaluation methods (MEM) have been integrated in the IDSS-C. PSM are used to support the stakeholders in providing their perspective of the problem and to elicit their interests and preferences, while MEM are used to define not only the degree of consensus for each alternative, highlighting those where the agreement is high, but also the consensus label for each alternative and the behaviour of individuals during the participative decision-making. The IDSS-C is applied experimentally to a decision process regarding the use of treated wastewater for agricultural irrigation in the Apulia Region (southern Italy).

Play and Learn: Potentials of Game-Based Learning

NASA Technical Reports Server (NTRS)

Pivec, Maja

2008-01-01

Learners are encouraged to combine knowledge from different areas to choose a solution or to make a decision at acertain point. Learners can test how the outcome of the game changes based on their decisions and actions. Learners are encouraged to contact other team members and discuss and negotiate subsequent steps, thus improving their social skills.

Decision blocks: A tool for automating decision making in CLIPS

NASA Technical Reports Server (NTRS)

Eick, Christoph F.; Mehta, Nikhil N.

1991-01-01

The human capability of making complex decision is one of the most fascinating facets of human intelligence, especially if vague, judgemental, default or uncertain knowledge is involved. Unfortunately, most existing rule based forward chaining languages are not very suitable to simulate this aspect of human intelligence, because of their lack of support for approximate reasoning techniques needed for this task, and due to the lack of specific constructs to facilitate the coding of frequently reoccurring decision block to provide better support for the design and implementation of rule based decision support systems. A language called BIRBAL, which is defined on the top of CLIPS, for the specification of decision blocks, is introduced. Empirical experiments involving the comparison of the length of CLIPS program with the corresponding BIRBAL program for three different applications are surveyed. The results of these experiments suggest that for decision making intensive applications, a CLIPS program tends to be about three times longer than the corresponding BIRBAL program.

The Impact of Multifaceted Osteoporosis Group Education on Patients' Decision-Making regarding Treatment Options and Lifestyle Changes.

PubMed

Jensen, Annesofie L; Wind, Gitte; Langdahl, Bente Lomholt; Lomborg, Kirsten

2018-01-01

Patients with chronic diseases like osteoporosis constantly have to make decisions related to their disease. Multifaceted osteoporosis group education (GE) may support patients' decision-making. This study investigated multifaceted osteoporosis GE focusing on the impact of GE on patients' decision-making related to treatment options and lifestyle. An interpretive description design using ethnographic methods was utilized with 14 women and three men diagnosed with osteoporosis who attended multifaceted GE. Data consisted of participant observation during GE and individual interviews. Attending GE had an impact on the patients' decision-making in all educational themes. Patients decided on new ways to manage osteoporosis and made decisions regarding bone health and how to implement a lifestyle ensuring bone health. During GE, teachers and patients shared evidence-based knowledge and personal experiences and preferences, respectively, leading to a two-way exchange of information and deliberation about recommendations. Though teachers and patients explored the implications of the decisions and shared their preferences, teachers stressed that the patients ultimately had to make the decision. Teachers therefore refrained from participating in the final step of the decision-making process. Attending GE has an impact on the patients' decision-making as it can initiate patient reflection and support decision-making.

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.

Knowledge mobilisation for policy development: implementing systems approaches through participatory dynamic simulation modelling.

PubMed

Freebairn, Louise; Rychetnik, Lucie; Atkinson, Jo-An; Kelly, Paul; McDonnell, Geoff; Roberts, Nick; Whittall, Christine; Redman, Sally

2017-10-02

Evidence-based decision-making is an important foundation for health policy and service planning decisions, yet there remain challenges in ensuring that the many forms of available evidence are considered when decisions are being made. Mobilising knowledge for policy and practice is an emergent process, and one that is highly relational, often messy and profoundly context dependent. Systems approaches, such as dynamic simulation modelling can be used to examine both complex health issues and the context in which they are embedded, and to develop decision support tools. This paper reports on the novel use of participatory simulation modelling as a knowledge mobilisation tool in Australian real-world policy settings. We describe how this approach combined systems science methodology and some of the core elements of knowledge mobilisation best practice. We describe the strategies adopted in three case studies to address both technical and socio-political issues, and compile the experiential lessons derived. Finally, we consider the implications of these knowledge mobilisation case studies and provide evidence for the feasibility of this approach in policy development settings. Participatory dynamic simulation modelling builds on contemporary knowledge mobilisation approaches for health stakeholders to collaborate and explore policy and health service scenarios for priority public health topics. The participatory methods place the decision-maker at the centre of the process and embed deliberative methods and co-production of knowledge. The simulation models function as health policy and programme dynamic decision support tools that integrate diverse forms of evidence, including research evidence, expert knowledge and localised contextual information. Further research is underway to determine the impact of these methods on health service decision-making.

Science Teachers' Epistemic Cognition in Instructional Decision Making

ERIC Educational Resources Information Center

Ponnock, Annette R.

2017-01-01

One understudied barrier to science education reform concerns teachers' cognitive processes and how they relate to instructional decision-making. Epistemic cognition--teachers' beliefs about knowledge and knowledge acquisition and goals for their students' knowledge acquisition--could provide important insights into the choices science teachers…

Young Children Use Graphs to Build Mathematical Reasoning

ERIC Educational Resources Information Center

Larson, Mark J.; Whitin, David J.

2010-01-01

Mathematical, scientific, and technological knowledge is critical for people in a 21st Century world that is dependent upon a global interconnectedness and a knowledge-based economy. This is the kind of knowledge that will power innovations and drive decision making in the years ahead. Schools are therefore being called upon to devise a…

Testing the effects of a decision aid for prostate cancer screening.

PubMed

Rubel, Stephanie K; Miller, Jacqueline W; Stephens, Robert L; Xu, Ye; Scholl, Lawrence E; Holden, E Wayne; Stroud, Leonardo A; Volk, Robert J

2010-04-01

There is an ever-growing trend toward more patient involvement in making health care decisions. This trend has been accompanied by the development of "informed decision-making" interventions to help patients become more engaged and comfortable with making these decisions. We describe the effects of a prostate cancer screening decision aid on knowledge, beliefs about screening, risk perception, control preferences, decisional conflict, and decisional anxiety. Data were collected from 200 males aged 50-70 years in the general population who randomly were assigned to exposure to the decision aid or no exposure as a control condition. A Solomon four-group design was used to test for possible pretest sensitization effects and to assess the effects of exposure to the decision aid. No significant pretest sensitization effects were found. Analysis of the exposure effects found that knowledge increased significantly for those exposed to the decision aid compared with those unexposed. Exposure to the decision aid also had some influence on decreasing both decisional conflict and decisional anxiety. Decision aids can play an important role in increasing patients' knowledge and decreasing anxiety when asked to make health care decisions.

Tools to support evidence-informed public health decision making

PubMed Central

2014-01-01

Background Public health professionals are increasingly expected to engage in evidence-informed decision making to inform practice and policy decisions. Evidence-informed decision making involves the use of research evidence along with expertise, existing public health resources, knowledge about community health issues, the local context and community, and the political climate. The National Collaborating Centre for Methods and Tools has identified a seven step process for evidence-informed decision making. Tools have been developed to support public health professionals as they work through each of these steps. This paper provides an overview of tools used in three Canadian public health departments involved in a study to develop capacity for evidence-informed decision making. Methods As part of a knowledge translation and exchange intervention, a Knowledge Broker worked with public health professionals to identify and apply tools for use with each of the steps of evidence-informed decision making. The Knowledge Broker maintained a reflective journal and interviews were conducted with a purposive sample of decision makers and public health professionals. This paper presents qualitative analysis of the perceived usefulness and usability of the tools. Results Tools were used in the health departments to assist in: question identification and clarification; searching for the best available research evidence; assessing the research evidence for quality through critical appraisal; deciphering the ‘actionable message(s)’ from the research evidence; tailoring messages to the local context to ensure their relevance and suitability; deciding whether and planning how to implement research evidence in the local context; and evaluating the effectiveness of implementation efforts. Decision makers provided descriptions of how the tools were used within the health departments and made suggestions for improvement. Overall, the tools were perceived as valuable for advancing and sustaining evidence-informed decision making. Conclusion Tools are available to support the process of evidence-informed decision making among public health professionals. The usability and usefulness of these tools for advancing and sustaining evidence-informed decision making are discussed, including recommendations for the tools’ application in other public health settings beyond this study. Knowledge and awareness of these tools may assist other health professionals in their efforts to implement evidence-informed practice. PMID:25034534

Tools to support evidence-informed public health decision making.

PubMed

Yost, Jennifer; Dobbins, Maureen; Traynor, Robyn; DeCorby, Kara; Workentine, Stephanie; Greco, Lori

2014-07-18

Public health professionals are increasingly expected to engage in evidence-informed decision making to inform practice and policy decisions. Evidence-informed decision making involves the use of research evidence along with expertise, existing public health resources, knowledge about community health issues, the local context and community, and the political climate. The National Collaborating Centre for Methods and Tools has identified a seven step process for evidence-informed decision making. Tools have been developed to support public health professionals as they work through each of these steps. This paper provides an overview of tools used in three Canadian public health departments involved in a study to develop capacity for evidence-informed decision making. As part of a knowledge translation and exchange intervention, a Knowledge Broker worked with public health professionals to identify and apply tools for use with each of the steps of evidence-informed decision making. The Knowledge Broker maintained a reflective journal and interviews were conducted with a purposive sample of decision makers and public health professionals. This paper presents qualitative analysis of the perceived usefulness and usability of the tools. Tools were used in the health departments to assist in: question identification and clarification; searching for the best available research evidence; assessing the research evidence for quality through critical appraisal; deciphering the 'actionable message(s)' from the research evidence; tailoring messages to the local context to ensure their relevance and suitability; deciding whether and planning how to implement research evidence in the local context; and evaluating the effectiveness of implementation efforts. Decision makers provided descriptions of how the tools were used within the health departments and made suggestions for improvement. Overall, the tools were perceived as valuable for advancing and sustaining evidence-informed decision making. Tools are available to support the process of evidence-informed decision making among public health professionals. The usability and usefulness of these tools for advancing and sustaining evidence-informed decision making are discussed, including recommendations for the tools' application in other public health settings beyond this study. Knowledge and awareness of these tools may assist other health professionals in their efforts to implement evidence-informed practice.

Prognostic categories and timing of negative prognostic communication from critical care physicians to family members at end-of-life in an intensive care unit.

PubMed

Gutierrez, Karen M

2013-09-01

Negative prognostic communication is often delayed in intensive care units, which limits time for families to prepare for end-of-life. This descriptive study, informed by ethnographic methods, was focused on exploring critical care physician communication of negative prognoses to families and identifying timing influences. Prognostic communication of critical care physicians to nurses and family members was observed and physicians and family members were interviewed. Physician perception of prognostic certainty, based on an accumulation of empirical data, and the perceived need for decision-making, drove the timing of prognostic communication, rather than family needs. Although prognoses were initially identified using intuitive knowledge for patients in one of the six identified prognostic categories, utilizing decision-making to drive prognostic communication resulted in delayed prognostic communication to families until end-of-life (EOL) decisions could be justified with empirical data. Providers will better meet the needs of families who desire earlier prognostic information by separating prognostic communication from decision-making and communicating the possibility of a poor prognosis based on intuitive knowledge, while acknowledging the uncertainty inherent in prognostication. This sets the stage for later prognostic discussions focused on EOL decisions, including limiting or withdrawing treatment, which can be timed when empirical data substantiate intuitive prognoses. This allows additional time for families to anticipate and prepare for end-of-life decision-making. © 2012 John Wiley & Sons Ltd.

Service users' experiences of participation in decision making in mental health services.

PubMed

Dahlqvist Jönsson, P; Schön, U-K; Rosenberg, D; Sandlund, M; Svedberg, P

2015-11-01

Despite the potential positive impact of shared decision making on service users knowledge and experience of decisional conflict, there is a lack of qualitative research on how participation in decision making is promoted from the perspective of psychiatric service users. This study highlights the desire of users to participate more actively in decision making and demonstrates that persons with SMI struggle to be seen as competent and equal partners in decision-making situations. Those interviewed did not feel that their strengths, abilities and needs were being recognized, which resulted in a feeling of being omitted from involvement in decision-making situations. The service users describe some essential conditions that could work to promote participation in decision making. These included having personal support, having access to knowledge, being involved in a dialogue and clarity about responsibilities. Mental health nurses can play an essential role for developing and implementing shared decision making as a tool to promote recovery-oriented mental health services. Service user participation in decision making is considered an essential component of recovery-oriented mental health services. Despite the potential of shared decision making to impact service users knowledge and positively influence their experience of decisional conflict, there is a lack of qualitative research on how participation in decision making is promoted from the perspective of psychiatric service users. In order to develop concrete methods that facilitate shared decision making, there is a need for increased knowledge regarding the users' own perspective. The aim of this study was to explore users' experiences of participation in decisions in mental health services in Sweden, and the kinds of support that may promote participation. Constructivist Grounded Theory (CGT) was utilized to analyse group and individual interviews with 20 users with experience of serious mental illness. The core category that emerged in the analysis described a 'struggle to be perceived as a competent and equal person' while three related categories including being the underdog, being controlled and being omitted described the difficulties of participating in decisions. The data analysis resulted in a model that describes internal and external conditions that influence the promotion of participation in decision making. The findings offer new insights from a user perspective and these can be utilized to develop and investigate concrete methods in order to promote user's participation in decisions. © 2015 John Wiley & Sons Ltd.

Policy, practice and decision making for zoonotic disease management: water and Cryptosporidium.

PubMed

Austin, Zoë; Alcock, Ruth E; Christley, Robert M; Haygarth, Philip M; Heathwaite, A Louise; Latham, Sophia M; Mort, Maggie; Oliver, David M; Pickup, Roger; Wastling, Jonathan M; Wynne, Brian

2012-04-01

Decision making for zoonotic disease management should be based on many forms of appropriate data and sources of evidence. However, the criteria and timing for policy response and the resulting management decisions are often altered when a disease outbreak occurs and captures full media attention. In the case of waterborne disease, such as the robust protozoa, Cryptosporidium spp, exposure can cause significant human health risks and preventing exposure by maintaining high standards of biological and chemical water quality remains a priority for water companies in the UK. Little has been documented on how knowledge and information is translated between the many stakeholders involved in the management of Cryptosporidium, which is surprising given the different drivers that have shaped management decisions. Such information, coupled with the uncertainties that surround these data is essential for improving future management strategies that minimise disease outbreaks. Here, we examine the interplay between scientific information, the media, and emergent government and company policies to examine these issues using qualitative and quantitative data relating to Cryptosporidium management decisions by a water company in the North West of England. Our results show that political and media influences are powerful drivers of management decisions if fuelled by high profile outbreaks. Furthermore, the strength of the scientific evidence is often constrained by uncertainties in the data, and in the way knowledge is translated between policy levels during established risk management procedures. In particular, under or over-estimating risk during risk assessment procedures together with uncertainty regarding risk factors within the wider environment, was found to restrict the knowledge-base for decision-making in Cryptosporidium management. Our findings highlight some key current and future challenges facing the management of such diseases that are widely applicable to other risk management situations. Copyright © 2011 Elsevier Ltd. All rights reserved.

A canonical theory of dynamic decision-making.

PubMed

Fox, John; Cooper, Richard P; Glasspool, David W

2013-01-01

Decision-making behavior is studied in many very different fields, from medicine and economics to psychology and neuroscience, with major contributions from mathematics and statistics, computer science, AI, and other technical disciplines. However the conceptualization of what decision-making is and methods for studying it vary greatly and this has resulted in fragmentation of the field. A theory that can accommodate various perspectives may facilitate interdisciplinary working. We present such a theory in which decision-making is articulated as a set of canonical functions that are sufficiently general to accommodate diverse viewpoints, yet sufficiently precise that they can be instantiated in different ways for specific theoretical or practical purposes. The canons cover the whole decision cycle, from the framing of a decision based on the goals, beliefs, and background knowledge of the decision-maker to the formulation of decision options, establishing preferences over them, and making commitments. Commitments can lead to the initiation of new decisions and any step in the cycle can incorporate reasoning about previous decisions and the rationales for them, and lead to revising or abandoning existing commitments. The theory situates decision-making with respect to other high-level cognitive capabilities like problem solving, planning, and collaborative decision-making. The canonical approach is assessed in three domains: cognitive and neuropsychology, artificial intelligence, and decision engineering.

A Canonical Theory of Dynamic Decision-Making

PubMed Central

Fox, John; Cooper, Richard P.; Glasspool, David W.

2012-01-01

Decision-making behavior is studied in many very different fields, from medicine and economics to psychology and neuroscience, with major contributions from mathematics and statistics, computer science, AI, and other technical disciplines. However the conceptualization of what decision-making is and methods for studying it vary greatly and this has resulted in fragmentation of the field. A theory that can accommodate various perspectives may facilitate interdisciplinary working. We present such a theory in which decision-making is articulated as a set of canonical functions that are sufficiently general to accommodate diverse viewpoints, yet sufficiently precise that they can be instantiated in different ways for specific theoretical or practical purposes. The canons cover the whole decision cycle, from the framing of a decision based on the goals, beliefs, and background knowledge of the decision-maker to the formulation of decision options, establishing preferences over them, and making commitments. Commitments can lead to the initiation of new decisions and any step in the cycle can incorporate reasoning about previous decisions and the rationales for them, and lead to revising or abandoning existing commitments. The theory situates decision-making with respect to other high-level cognitive capabilities like problem solving, planning, and collaborative decision-making. The canonical approach is assessed in three domains: cognitive and neuropsychology, artificial intelligence, and decision engineering. PMID:23565100

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.

Distributed decision making in action: diagnostic imaging investigations within the bigger picture.

PubMed

Makanjee, Chandra R; Bergh, Anne-Marie; Hoffmann, Willem A

2018-03-01

Decision making in the health care system - specifically with regard to diagnostic imaging investigations - occurs at multiple levels. Professional role players from various backgrounds are involved in making these decisions, from the point of referral to the outcomes of the imaging investigation. The aim of this study was to map the decision-making processes and pathways involved when patients are referred for diagnostic imaging investigations and to explore distributed decision-making events at the points of contact with patients within a health care system. A two-phased qualitative study was conducted in an academic public health complex with the district hospital as entry point. The first phase included case studies of 24 conveniently selected patients, and the second phase involved 12 focus group interviews with health care providers. Data analysis was based on Rapley's interpretation of decision making as being distributed across time, situations and actions, and including different role players and technologies. Clinical decisions incorporating imaging investigations are distributed across the three vital points of contact or decision-making events, namely the initial patient consultation, the diagnostic imaging investigation and the post-investigation consultation. Each of these decision-making events is made up of a sequence of discrete decision-making moments based on the transfer of retrospective, current and prospective information and its transformation into knowledge. This paper contributes to the understanding of the microstructural processes (the 'when' and 'where') involved in the distribution of decisions related to imaging investigations. It also highlights the interdependency in decision-making events of medical and non-medical providers within a single medical encounter. © 2017 The Authors. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology.

Toward patient-centered, personalized and personal decision support and knowledge management: a survey.

PubMed

Leong, T-Y

2012-01-01

This paper summarizes the recent trends and highlights the challenges and opportunities in decision support and knowledge management for patient-centered, personalized, and personal health care. The discussions are based on a broad survey of related references, focusing on the most recent publications. Major advances are examined in the areas of i) shared decision making paradigms, ii) continuity of care infrastructures and architectures, iii) human factors and system design approaches, iv) knowledge management innovations, and v) practical deployment and change considerations. Many important initiatives, projects, and plans with promising results have been identified. The common themes focus on supporting the individual patients who are playing an increasing central role in their own care decision processes. New collaborative decision making paradigms and information infrastructures are required to ensure effective continuity of care. Human factors and usability are crucial for the successful development and deployment of the relevant systems, tools, and aids. Advances in personalized medicine can be achieved through integrating genomic, phenotypic and other biological, individual, and population level information, and gaining useful insights from building and analyzing biological and other models at multiple levels of abstraction. Therefore, new Information and Communication Technologies and evaluation approaches are needed to effectively manage the scale and complexity of biomedical and health information, and adapt to the changing nature of clinical decision support. Recent research in decision support and knowledge management combines heterogeneous information and personal data to provide cost-effective, calibrated, personalized support in shared decision making at the point of care. Current and emerging efforts concentrate on developing or extending conventional paradigms, techniques, systems, and architectures for the new predictive, preemptive, and participatory health care model for patient-centered, personalized medicine. There is also an increasing emphasis on managing complexity with changing care models, processes, and settings.

Effect of experience on clinical decision making by cardiorespiratory physiotherapists in acute care settings.

PubMed

Smith, Megan; Higgs, Joy; Ellis, Elizabeth

2010-02-01

This article investigates clinical decision making in acute care hospitals by cardiorespiratory physiotherapists with differing degrees of clinical experience. Participants were observed as they engaged in their everyday practice and were interviewed about their decision making. Texts of the data were interpreted by using a hermeneutic approach that involved repeated reading and analysis of fieldnotes and interview transcripts to develop an understanding of the effect of experience on clinical decision making. Participants were classified into categories of cardiorespiratory physiotherapy experience: less experienced (<2 years), intermediate experience (2.5-4 years), and more experienced (>7 years). Four dimensions characteristic of increasing experience in cardiorespiratory physiotherapy clinical decision making were identified: 1) an individual practice model, 2) refined approaches to clinical decision making, 3) working in context, and 4) social and emotional capability. Underpinning these dimensions was evidence of reflection on practice, motivation to achieve best practice, critique of new knowledge, increasing confidence, and relationships with knowledgeable colleagues. These findings reflect characteristics of physiotherapy expertise that have been described in the literature. This study adds knowledge about the field of cardiorespiratory physiotherapy to the existing body of research on clinical decision making and broadens the existing understanding of characteristics of physiotherapy expertise.

Factors influencing the clinical decision-making of midwives: a qualitative study.

PubMed

Daemers, Darie O A; van Limbeek, Evelien B M; Wijnen, Hennie A A; Nieuwenhuijze, Marianne J; de Vries, Raymond G

2017-10-06

Although midwives make clinical decisions that have an impact on the health and well-being of mothers and babies, little is known about how they make those decisions. Wide variation in intrapartum decisions to refer women to obstetrician-led care suggests that midwives' decisions are based on more than the evidence based medicine (EBM) model - i.e. clinical evidence, midwife's expertise, and woman's values - alone. With this study we aimed to explore the factors that influence clinical decision-making of midwives who work independently. We used a qualitative approach, conducting in-depth interviews with a purposive sample of 11 Dutch primary care midwives. Data collection took place between May and September 2015. The interviews were semi-structured, using written vignettes to solicit midwives' clinical decision-making processes (Think Aloud method). We performed thematic analysis on the transcripts. We identified five themes that influenced clinical decision-making: the pregnant woman as a whole person, sources of knowledge, the midwife as a whole person, the collaboration between maternity care professionals, and the organisation of care. Regarding the midwife, her decisions were shaped not only by her experience, intuition, and personal circumstances, but also by her attitudes about physiology, woman-centredness, shared decision-making, and collaboration with other professionals. The nature of the local collaboration between maternity care professionals and locally-developed protocols dominated midwives' clinical decision-making. When midwives and obstetricians had different philosophies of care and different practice styles, their collaborative efforts were challenged. Midwives' clinical decision-making is a more varied and complex process than the EBM framework suggests. If midwives are to succeed in their role as promoters and protectors of physiological pregnancy and birth, they need to understand how clinical decisions in a multidisciplinary context are actually made.

Modeling Common-Sense Decisions

NASA Astrophysics Data System (ADS)

Zak, Michail

This paper presents a methodology for efficient synthesis of dynamical model simulating a common-sense decision making process. The approach is based upon the extension of the physics' First Principles that includes behavior of living systems. The new architecture consists of motor dynamics simulating actual behavior of the object, and mental dynamics representing evolution of the corresponding knowledge-base and incorporating it in the form of information flows into the motor dynamics. The autonomy of the decision making process is achieved by a feedback from mental to motor dynamics. This feedback replaces unavailable external information by an internal knowledgebase stored in the mental model in the form of probability distributions.

Development of a Spacecraft Materials Selector Expert System

NASA Technical Reports Server (NTRS)

Pippin, G.; Kauffman, W. (Technical Monitor)

2002-01-01

This report contains a description of the knowledge base tool and examples of its use. A downloadable version of the Spacecraft Materials Selector (SMS) knowledge base is available through the NASA Space Environments and Effects Program. The "Spacecraft Materials Selector" knowledge base is part of an electronic expert system. The expert system consists of an inference engine that contains the "decision-making" code and the knowledge base that contains the selected body of information. The inference engine is a software package previously developed at Boeing, called the Boeing Expert System Tool (BEST) kit.

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.

Improving decision making in crisis.

PubMed

Higgins, Guy; Freedman, Jennifer

2013-01-01

The most critical activity during emergencies or crises is making decisions about what to do next. This paper provides insights into the challenges that people face in making decisions at any time, but particularly during emergencies and crises. It also introduces the reader to the concept of different sense-making/decision-making domains, the human behaviours that can adversely affect decision making - decision derailers - and ways in which emergency responders can leverage this knowledge to make better decisions. While the literature on decision making is extensive, this paper is focused on those aspects that apply particularly to decision making in emergencies or times of crisis.

Feasibility of web-based decision aids in neurological patients.

PubMed

van Til, Janine A; Drossaert, Constance H C; Renzenbrink, Gerbert J; Snoek, Govert J; Dijkstra, Evelien; Stiggelbout, Anne M; Ijzerman, Maarten J

2010-01-01

Decision aids (DAs) may be helpful in improving patients' participation in medical decision-making. We investigated the potential for web-based DAs in a rehabilitation population. Two self-administered DAs focused on the treatment of acquired ankle-foot impairment in stroke and the treatment of arm-hand function in cervical spinal cord injury (SCI). Data collection comprised a telephone interview and a self-reported paper questionnaire. Of the patients who agreed to participate, 39 stroke patients (44%) and 38 patients with SCI (78%) returned a questionnaire. More than 75% of patients expressed a need for more information about the treatment of disease-related impairment. The DAs were highly appreciated by both patient groups. Nearly all patients expressed a positive attitude towards the use of the web-based DAs in general practice. The DAs had a positive effect on the knowledge about the treatment alternatives in the stroke patients (P = 0.001), although not in the patients with SCI. The DAs reduced patients' conflict about treatment (P < 0.05). The effect of the DAs on patients' desired role in decision-making was limited. Web-based aids are feasible in the rehabilitation population with access to a computer and can improve the knowledge gaps in patients.

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.

Development and evaluation of learning module on clinical decision-making in Prosthodontics.

PubMed

Deshpande, Saee; Lambade, Dipti; Chahande, Jayashree

2015-01-01

Best practice strategies for helping students learn the reasoning skills of problem solving and critical thinking (CT) remain a source of conjecture, particularly with regard to CT. The dental education literature is fundamentally devoid of research on the cognitive components of clinical decision-making. This study was aimed to develop and evaluate the impact of blended learning module on clinical decision-making skills of dental graduates for planning prosthodontics rehabilitation. An interactive teaching module consisting of didactic lectures on clinical decision-making and a computer-assisted case-based treatment planning software was developed Its impact on cognitive knowledge gain in clinical decision-making was evaluated using an assessment involving problem-based multiple choice questions and paper-based case scenarios. Mean test scores were: Pretest (17 ± 1), posttest 1 (21 ± 2) and posttest 2 (43 ± 3). Comparison of mean scores was done with one-way ANOVA test. There was overall significant difference in between mean scores at all the three points (P < 0.001). A pair-wise comparison of mean scores was done with Bonferroni test. The mean difference is significant at the 0.05 level. The pair-wise comparison shows that posttest 2 score is significantly higher than posttest 1 and posttest 1 is significantly higher than pretest that is, pretest 2 > posttest 1 > pretest. Blended teaching methods employing didactic lectures on the clinical decision-making as well as computer assisted case-based learning can be used to improve quality of clinical decision-making in prosthodontic rehabilitation for dental graduates.

Young children can tell strategic lies after committing a transgression.

PubMed

Fu, Genyue; Evans, Angela D; Xu, Fen; Lee, Kang

2012-09-01

This study investigated whether young children make strategic decisions about whether to lie to conceal a transgression based on the lie recipient's knowledge. In Experiment 1, 168 3- to 5-year-olds were asked not to peek at the toy in the experimenter's absence, and the majority of children peeked. Children were questioned about their transgression in either the presence or absence of an eyewitness of their transgression. Whereas 4- and 5-year-olds were able to adjust their decisions of whether to lie based on the presence or absence of the eyewitness, 3-year-olds did not. Experiments 2 and 3 manipulated whether the lie recipient appeared to have learned information about children's peeking from an eyewitness or was merely bluffing. Results revealed that when the lie recipient appeared to be genuinely knowledgeable about their transgression, even 3-year-olds were significantly less likely to lie compared with when the lie recipient appeared to be bluffing. Thus, preschool children are able to make strategic decisions about whether to lie or tell the truth based on whether the lie recipient is genuinely knowledgeable about the true state of affairs. Copyright © 2012 Elsevier Inc. All rights reserved.

The effects of a video-based education in women with newly diagnosed breast cancer in Singapore.

PubMed

Tan, May Leng; Lee, Kim Hua; Yong, Wei Sean; Rodgers, Cheryl

2018-05-18

The purpose of this study was to evaluate the impact of an educational video among women who were newly diagnosed with breast cancer on knowledge, anxiety, and satisfaction with their surgical decision. A pre-post-test design was used to evaluate knowledge, anxiety, and satisfaction levels with decision-making regarding surgery among women with breast cancer. A purposive sampling strategy was implemented to compare outcomes of newly diagnosed breast cancer women who received standard of care that included breast care nurse counseling sessions and written materials to women who received standard of care plus a supplement educational video. Knowledge and anxiety scores were collected at baseline and 2 weeks post-operatively. Satisfaction with decision (SWD) on the nature of surgery was gathered 2 weeks after surgery. Sixty-two subjects were recruited in a Singapore tertiary cancer center with a cohort of 32 women in the non-video group and 30 women in the video group. There was a statistically significant interaction effect of group and time (p = .008), wherein knowledge increased for both groups, although the increase was steeper for the video group. Both groups had significantly lower anxiety at post-implementation compared to pre-implementation (p < .001). There were no differences in SWD scores in both groups. Use of an additional video-based education significantly increased breast cancer knowledge levels among women in the educational video group. Nurses and healthcare professionals should focus on identifying individual informational needs based on surgical options to provide personalize care and transfer the necessary knowledge in empowering woman's decision-making process on her nature of breast surgery.

Evidence-based medicine - an appropriate tool for evidence-based health policy? A case study from Norway.

PubMed

Malterud, Kirsti; Bjelland, Anne Karen; Elvbakken, Kari Tove

2016-03-05

Evidence-based policy (EBP), a concept modelled on the principles of evidence-based medicine (EBM), is widely used in different areas of policymaking. Systematic reviews (SRs) with meta-analyses gradually became the methods of choice for synthesizing research evidence about interventions and judgements about quality of evidence and strength of recommendations. Critics have argued that the relation between research evidence and service policies is weak, and that the notion of EBP rests on a misunderstanding of policy processes. Having explored EBM standards and knowledge requirements for health policy decision-making, we present an empirical point of departure for discussing the relationship between EBM and EBP. In a case study exploring the Norwegian Knowledge Centre for the Health Services (NOKC), an independent government unit, we first searched for information about the background and development of the NOKC to establish a research context. We then identified, selected and organized official NOKC publications as an empirical sample of typical top-of-the-line knowledge delivery adhering to EBM standards. Finally, we explored conclusions in this type of publication, specifically addressing their potential as policy decision tools. From a total sample of 151 SRs published by the NOKC in the period 2004-2013, a purposive subsample from 2012 (14 publications) advised major caution about their conclusions because of the quality or relevance of the underlying documentation. Although the case study did not include a systematic investigation of uptake and policy consequences, SRs were found to be inappropriate as universal tools for health policy decision-making. The case study demonstrates that EBM is not necessarily suited to knowledge provision for every kind of policy decision-making. Our analysis raises the question of whether the evidence-based movement, represented here by an independent government organization, undertakes too broad a range of commissions using strategies that seem too confined. Policymaking in healthcare should be based on relevant and transparent knowledge, taking due account of the context of the intervention. However, we do not share the belief that the complex and messy nature of policy processes in general is compatible with the standards of EBM.

“Kinect-ing” With Clinicians: A Knowledge Translation Resource to Support Decision Making About Video Game Use in Rehabilitation

PubMed Central

Levac, Danielle; Espy, Deborah; Fox, Emily; Pradhan, Sujata

2015-01-01

Microsoft's Kinect for Xbox 360 virtual reality (VR) video games are promising rehabilitation options because they involve motivating, full-body movement practice. However, these games were designed for recreational use, which creates challenges for clinical implementation. Busy clinicians require decision-making support to inform game selection and implementation that address individual therapeutic goals. This article describes the development and preliminary evaluation of a knowledge translation (KT) resource to support clinical decision making about selection and use of Kinect games in physical therapy. The knowledge-to-action framework guided the development of the Kinecting With Clinicians (KWiC) resource. Five physical therapists with VR and video game expertise analyzed the Kinect Adventure games. A consensus-building method was used to arrive at categories to organize clinically relevant attributes guiding game selection and game play. The process and results of an exploratory usability evaluation of the KWiC resource by clinicians through interviews and focus groups at 4 clinical sites is described. Subsequent steps in the evaluation and KT process are proposed, including making the KWiC resource Web-based and evaluating the utility of the online resource in clinical practice. PMID:25256741

"Kinect-ing" with clinicians: a knowledge translation resource to support decision making about video game use in rehabilitation.

PubMed

Levac, Danielle; Espy, Deborah; Fox, Emily; Pradhan, Sujata; Deutsch, Judith E

2015-03-01

Microsoft's Kinect for Xbox 360 virtual reality (VR) video games are promising rehabilitation options because they involve motivating, full-body movement practice. However, these games were designed for recreational use, which creates challenges for clinical implementation. Busy clinicians require decision-making support to inform game selection and implementation that address individual therapeutic goals. This article describes the development and preliminary evaluation of a knowledge translation (KT) resource to support clinical decision making about selection and use of Kinect games in physical therapy. The knowledge-to-action framework guided the development of the Kinecting With Clinicians (KWiC) resource. Five physical therapists with VR and video game expertise analyzed the Kinect Adventure games. A consensus-building method was used to arrive at categories to organize clinically relevant attributes guiding game selection and game play. The process and results of an exploratory usability evaluation of the KWiC resource by clinicians through interviews and focus groups at 4 clinical sites is described. Subsequent steps in the evaluation and KT process are proposed, including making the KWiC resource Web-based and evaluating the utility of the online resource in clinical practice. © 2015 American Physical Therapy Association.

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…

Using computer software to improve group decision-making.

PubMed

Mockler, R J; Dologite, D G

1991-08-01

This article provides a review of some of the work done in the area of knowledge-based systems for strategic planning. Since 1985, with the founding of the Center for Knowledge-based Systems for Business Management, the project has focused on developing knowledge-based systems (KBS) based on these models. In addition, the project also involves developing a variety of computer and non-computer methods and techniques for assisting both technical and non-technical managers and individuals to do decision modelling and KBS development. This paper presents a summary of one segment of the project: a description of integrative groupware useful in strategic planning. The work described here is part of an ongoing research project. As part of this project, for example, over 200 non-technical and technical business managers, most of them working full-time during the project, developed over 160 KBS prototype systems in conjunction with MBA course in strategic planning and management decision making. Based on replies to a survey of this test group, 28 per cent of the survey respondents reported their KBS were used at work, 21 per cent reportedly received promotions, pay rises or new jobs based on their KBS development work, and 12 per cent reported their work led to participation in other KBS development projects at work. All but two of the survey respondents reported that their work on the KBS development project led to a substantial increase in their job knowledge or performance.

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…

Repeated Causal Decision Making

ERIC Educational Resources Information Center

Hagmayer, York; Meder, Bjorn

2013-01-01

Many of our decisions refer to actions that have a causal impact on the external environment. Such actions may not only allow for the mere learning of expected values or utilities but also for acquiring knowledge about the causal structure of our world. We used a repeated decision-making paradigm to examine what kind of knowledge people acquire in…

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.

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

Sound credit scores and financial decisions despite cognitive aging.

PubMed

Li, Ye; Gao, Jie; Enkavi, A Zeynep; Zaval, Lisa; Weber, Elke U; Johnson, Eric J

2015-01-06

Age-related deterioration in cognitive ability may compromise the ability of older adults to make major financial decisions. We explore whether knowledge and expertise accumulated from past decisions can offset cognitive decline to maintain decision quality over the life span. Using a unique dataset that combines measures of cognitive ability (fluid intelligence) and of general and domain-specific knowledge (crystallized intelligence), credit report data, and other measures of decision quality, we show that domain-specific knowledge and expertise provide an alternative route for sound financial decisions. That is, cognitive aging does not spell doom for financial decision-making in domains where the decision maker has developed expertise. These results have important implications for public policy and for the design of effective interventions and decision aids.

Network Framing of Pest Management Knowledge and Practice

ERIC Educational Resources Information Center

Moore, Keith M.

2008-01-01

Conventional technology transfer is based on the assumption that autonomous individuals independently make behavioral decisions. In contrast, Actor-Network Theory (ANT) suggests that people and technologies are interconnected in ways that reinforce and reproduce some types of knowledge and consequent behavioral practices, but not others. Research…

Leveraging Institutional Knowledge for Student Success: Promoting Academic Advisors

ERIC Educational Resources Information Center

Pellegrino, Jeffrey Louis; Snyder, Charity; Crutchfield, Nikki; Curtis, Cesquinn M.; Pringle, Eboni

2015-01-01

To engage students and meet institutional goals, higher education leaders need to leverage the institutional knowledge of their staff and their professional competencies. Evidence based decision-making provides a stepping-stone to strategic staffing practices. Strategically developing and retaining staff members moves the conversation from…

Précis of Simple heuristics that make us smart.

PubMed

Todd, P M; Gigerenzer, G

2000-10-01

How can anyone be rational in a world where knowledge is limited, time is pressing, and deep thought is often an unattainable luxury? Traditional models of unbounded rationality and optimization in cognitive science, economics, and animal behavior have tended to view decision-makers as possessing supernatural powers of reason, limitless knowledge, and endless time. But understanding decisions in the real world requires a more psychologically plausible notion of bounded rationality. In Simple heuristics that make us smart (Gigerenzer et al. 1999), we explore fast and frugal heuristics--simple rules in the mind's adaptive toolbox for making decisions with realistic mental resources. These heuristics can enable both living organisms and artificial systems to make smart choices quickly and with a minimum of information by exploiting the way that information is structured in particular environments. In this précis, we show how simple building blocks that control information search, stop search, and make decisions can be put together to form classes of heuristics, including: ignorance-based and one-reason decision making for choice, elimination models for categorization, and satisficing heuristics for sequential search. These simple heuristics perform comparably to more complex algorithms, particularly when generalizing to new data--that is, simplicity leads to robustness. We present evidence regarding when people use simple heuristics and describe the challenges to be addressed by this research program.

Improving IT Portfolio Management Decision Confidence Using Multi-Criteria Decision Making and Hypervariate Display Techniques

ERIC Educational Resources Information Center

Landmesser, John Andrew

2014-01-01

Information technology (IT) investment decision makers are required to process large volumes of complex data. An existing body of knowledge relevant to IT portfolio management (PfM), decision analysis, visual comprehension of large volumes of information, and IT investment decision making suggest Multi-Criteria Decision Making (MCDM) and…

Treatment of mastitis in cattle.

PubMed

Royster, Erin; Wagner, Sarah

2015-03-01

The understanding of mastitis, its cause, and the rationale for treatment or nontreatment of mastitis under various circumstances continues to evolve. This article presents research-based evidence about the use or nonuse of drugs to treat mastitis. Nondrug factors involved in decision making about mastitis, including cow characteristics and the epidemiology of mastitis, are also briefly discussed. This article provides information that helps in the making of knowledgeable, evidence-based decisions about therapy for mastitis. Focus is primarily on the use of antimicrobial drugs. Copyright © 2015 Elsevier Inc. All rights reserved.

Clinical intuition in the nursing process and decision-making-A mixed-studies review.

PubMed

Melin-Johansson, Christina; Palmqvist, Rebecca; Rönnberg, Linda

2017-12-01

To review what is characteristic of registered nurses' intuition in clinical settings, in relationships and in the nursing process. Intuition is a controversial concept and nurses believe that there are difficulties in how they should explain their nursing actions or decisions based on intuition. Much of the evidence from the body of research indicates that nurses value their intuition in a variety of clinical settings. More information on how nurses integrate intuition as a core element in daily clinical work would contribute to an improved understanding on how they go about this. Intuition deserves a place in evidence-based activities, where intuition is an important component associated with the nursing process. An integrative review strengthened with a mixed-studies review. Literature searches were conducted in the databases CINAHL, PubMed and PsycINFO, and literature published 1985-2016 were included. The findings in the studies were analysed with content analysis, and the synthesis process entailed a reasoning between the authors. After a quality assessment, 16 studies were included. The analysis and synthesis resulted in three categories. The characteristics of intuition in the nurse's daily clinical activities include application, assertiveness and experiences; in the relationships with patients' intuition include unique connections, mental and bodily responses, and personal qualities; and in the nursing process include support and guidance, component and clues in decision-making, and validating decisions. Intuition is more than simply a "gut feeling," and it is a process based on knowledge and care experience and has a place beside research-based evidence. Nurses integrate both analysis and synthesis of intuition alongside objective data when making decisions. They should rely on their intuition and use this knowledge in clinical practice as a support in decision-making, which increases the quality and safety of patient care. We find that intuition plays a key role in more or less all of the steps in the nursing process as a base for decision-making that supports safe patient care, and is a validated component of nursing clinical care expertise. © 2017 John Wiley & Sons Ltd.

Adapting forest health assessments to changing perspectives on threats--a case example from Sweden.

PubMed

Wulff, Sören; Lindelöw, Åke; Lundin, Lars; Hansson, Per; Axelsson, Anna-Lena; Barklund, Pia; Wijk, Sture; Ståhl, Göran

2012-04-01

A revised Swedish forest health assessment system is presented. The assessment system is composed of several interacting components which target information needs for strategic and operational decision making and accommodate a continuously expanding knowledge base. The main motivation for separating information for strategic and operational decision making is that major damage outbreaks are often scattered throughout the landscape. Generally, large-scale inventories (such as national forest inventories) cannot provide adequate information for mitigation measures. In addition to broad monitoring programs that provide time-series information on known damaging agents and their effects, there is also a need for local and regional inventories adapted to specific damage events. While information for decision making is the major focus of the health assessment system, the system also contributes to expanding the knowledge base of forest conditions. For example, the integrated monitoring programs provide a better understanding of ecological processes linked to forest health. The new health assessment system should be able to respond to the need for quick and reliable information and thus will be an important part of the future monitoring of Swedish forests.

Determinants of HIV testing and receipt of test results among adolescent girls in Nigeria: the role of assets and decision-making.

PubMed

Iwelunmor, Juliet; Blackstone, Sarah; Jennings, Larissa; Converse, Donaldson; Ehiri, John; Curley, Jami

2018-04-09

Purpose Many adolescent girls in Nigeria do not test for HIV despite being at high risk. While the influence of psychosocial factors on HIV testing has been examined, there is less evidence regarding the impact of assets and control of assets on HIV testing. This study investigated the protective effects of specific adolescent girls' assets on decision-making regarding HIV testing. Methods Cross-sectional data from the 2013 Nigeria Demographic and Health Survey was analyzed. The main outcome variables were self-reports of having been tested for HIV and knowledge of a place that offers HIV testing. Binary logistic regression was used with employment, education, wealth index, home ownership, land ownership and decision making as potential predictors. Demographic characteristics were controlled in the analysis. Results Age [odds ratio (OR = 1.49)], employment (OR = 3.38), education (OR = 3.16), wealth index (OR = 1.33) and decision making (OR = 3.16) were positively associated with HIV testing. Age (OR = 1.20), employment (OR = 1.33), education (OR = 1.38), wealth (OR = 1.64), land ownership (OR = 1.42), and decision making (OR = 1.26) were positively associated with knowledge of an HIV testing location. Conclusion Our findings suggest that assets play an important role with HIV testing decisions for adolescent girls. Further research to elucidate the specific asset-based needs of adolescent girls will be needed to enhance decisions surrounding uptake of HIV testing and receipt of test results in Nigeria.

Quantum decision-maker theory and simulation

NASA Astrophysics Data System (ADS)

Zak, Michail; Meyers, Ronald E.; Deacon, Keith S.

2000-07-01

A quantum device simulating the human decision making process is introduced. It consists of quantum recurrent nets generating stochastic processes which represent the motor dynamics, and of classical neural nets describing the evolution of probabilities of these processes which represent the mental dynamics. The autonomy of the decision making process is achieved by a feedback from the mental to motor dynamics which changes the stochastic matrix based upon the probability distribution. This feedback replaces unavailable external information by an internal knowledge- base stored in the mental model in the form of probability distributions. As a result, the coupled motor-mental dynamics is described by a nonlinear version of Markov chains which can decrease entropy without an external source of information. Applications to common sense based decisions as well as to evolutionary games are discussed. An example exhibiting self-organization is computed using quantum computer simulation. Force on force and mutual aircraft engagements using the quantum decision maker dynamics are considered.

Decisional role preferences, risk knowledge and information interests in patients with multiple sclerosis.

PubMed

Heesen, Christoph; Kasper, Jürgen; Segal, Julia; Köpke, Sascha; Mühlhauser, Ingrid

2004-12-01

Shared decision making is increasingly recognized as the ideal model of patient-physician communication especially in chronic diseases with partially effective treatments as multiple sclerosis (MS). To evaluate prerequisite factors for this kind of decision making we studied patients' decisional role preferences in medical decision making, knowledge on risks, information interests and the relations between these factors in MS. After conducting focus groups to generate hypotheses, 219 randomly selected patients from the MS Outpatient Clinic register (n = 1374) of the University Hospital Hamburg received mailed questionnaires on their knowledge of risks in MS, their perception of their own level of knowledge, information interests and role preferences. Most patients (79%) indicated that they preferred an active role in treatment decisions giving the shared decision and the informed choice model the highest priority. MS risk knowledge was low but questionnaire results depended on disease course, disease duration and ongoing immune therapy. Measured knowledge as well as perceived knowledge was only weakly correlated with preferences of active roles. Major information interests were related to symptom alleviation, diagnostic procedures and prognosis. Patients with MS claimed autonomous roles in their health care decisions. The weak correlation between knowledge and preferences for active roles implicates that other factors largely influence role preferences.

Variation in clinical decision-making for induction of labour: a qualitative study.

PubMed

Nippita, Tanya A; Porter, Maree; Seeho, Sean K; Morris, Jonathan M; Roberts, Christine L

2017-09-22

Unexplained variation in induction of labour (IOL) rates exist between hospitals, even after accounting for casemix and hospital differences. We aimed to explore factors that influence clinical decision-making for IOL that may be contributing to the variation in IOL rates between hospitals. We undertook a qualitative study involving semi-structured, audio-recorded interviews with obstetricians and midwives. Using purposive sampling, participants known to have diverse opinions on IOL were selected from ten Australian maternity hospitals (based on differences in hospital IOL rate, size, location and case-mix complexities). Transcripts were indexed, coded, and analysed using the Framework Approach to identify main themes and subthemes. Forty-five participants were interviewed (21 midwives, 24 obstetric medical staff). Variations in decision-making for IOL were based on the obstetrician's perception of medical risk in the pregnancy (influenced by the obstetrician's personality and knowledge), their care relationship with the woman, how they involved the woman in decision-making, and resource availability. The role of a 'gatekeeper' in the procedural aspects of arranging an IOL also influenced decision-making. There was wide variation in the clinical decision-making practices of obstetricians and less accountability for decision-making in hospitals with a high IOL rate, with the converse occurring in hospitals with low IOL rates. Improved communication, standardised risk assessment and accountability for IOL offer potential for reducing variation in hospital IOL rates.

Enabling Integrated Decision Making for Electronic-Commerce by Modelling an Enterprise's Sharable Knowledge.

ERIC Educational Resources Information Center

Kim, Henry M.

2000-01-01

An enterprise model, a computational model of knowledge about an enterprise, is a useful tool for integrated decision-making by e-commerce suppliers and customers. Sharable knowledge, once represented in an enterprise model, can be integrated by the modeled enterprise's e-commerce partners. Presents background on enterprise modeling, followed by…

Evidence-based medicine meets democracy: the role of evidence-based public health guidelines in local government.

PubMed

Kelly, M P; Atkins, L; Littleford, C; Leng, G; Michie, S

2017-12-01

In 2013, many public health functions transferred from the National Health Service to local government in England. From 2006 NICE had produced public health guidelines based on the principles of evidence-based medicine. This study explores how the guidelines were received in the new environment in local government and related issues raised relating to the use of evidence in local authoritites. In depth, interviews with 31 elected members and officers, including Directors of Public Health, from four very different local government organizations ('local authorities'). Participants reported that (i) there were tensions between evidence-based, and political decision-making; (ii) there were differences in views about what constituted 'good' evidence and (iii) that organizational life is an important mediator in the way evidence is used. Democratic political decision-making does not necessarily naturally align with decision-making based on evidence from the international scientific literature, and local knowledge and local evidence are very important in the ways that public health decisions are made. © The Author 2017. Published by Oxford University Press on behalf of Faculty of Public Health.

Integrating public commentary and participation into environmental decision-making: The implications of Ontario`s Environmental Bill of Rights, 1993

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

McRobert, D.

1995-12-31

In February 1994, the Environmental Bill of Rights, 1993 (EBR) was proclaimed into law by the Ontario government. The EBR is intended to promote a new era in environmental decision-making one characterized by enhanced public participation, citizen empowerment and greater accountability of decision makers. A key challenge in the implementation of the EBR is the change it will force in government decision-making. Historically, Ontario environmental regulation focused on the development of appropriate pollution control instruments, techniques and standards to control harmful environmental activity. Often the knowledge of outsiders, (i.e. the public), was considered inadequate or irrelevant to the regulatory process.more » In contrast, the EBR recognizes the relevance and validity of public knowledge, and is intended to encourage decision-makers to mesh public and scientific knowledge through a new regulatory approval system based on notice of new developments, approvals and laws on a province-wide electronic bulletin board service. The positive potential of the EBR is in its ability to promote social understanding of the issues and risks in environmental management. The EBR mandates open dialogue and proactive interaction between government, industry, environmental groups, citizen groups, and employees to explore new mechanisms in environmental decision making. In addition, the EBR seeks to enlist the cooperation of all sectors of society in addressing the complex issues posed by the environment so that not only problem solving but problem identification and prevention activities are conducted in the context of greater shared responsibility and accountability.« less

Cultural influences on the physician-patient encounter: The case of shared treatment decision-making.

PubMed

Charles, Cathy; Gafni, Amiram; Whelan, Tim; O'Brien, Mary Ann

2006-11-01

In this paper we discuss the influence of culture on the process of treatment decision-making, and in particular, shared treatment decision-making in the physician-patient encounter. We explore two key issues: (1) the meaning of culture and the ways that it can affect treatment decision-making; (2) cultural issues and assumptions underlying the development and use of treatment decision aids. This is a conceptual paper. Based on our knowledge and reading of the key literature in the treatment decision-making field, we looked for written examples where cultural influences were taken into account when discussing the physician-patient encounter and when designing instruments (decision aids) to help patients participate in making decisions. Our assessment of the situation is that to date, and with some recent exceptions, research in the above areas has not been culturally sensitive. We suggest that more research attention should be focused on exploring potential cultural variations in the meaning of and preferences for shared decision-making as well as on the applicability across cultural groups of decision aids developed to facilitate patient participation in treatment decision-making with physicians. Both patients and physicians need to be aware of the cultural assumptions underlying the development and use of decision aids and assess their cultural sensitivity to the needs and preferences of patients in diverse cultural groups.

Knowledge as a Service at the Point of Care.

PubMed

Shellum, Jane L; Freimuth, Robert R; Peters, Steve G; Nishimura, Rick A; Chaudhry, Rajeev; Demuth, Steve J; Knopp, Amy L; Miksch, Timothy A; Milliner, Dawn S

2016-01-01

An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, order sets, and dashboards. All of these decision support tools are based on clinical knowledge; unfortunately, the mechanisms for managing rules, order sets, Infobuttons, and dashboards are often unrelated, making it difficult to coordinate the application of clinical knowledge to various components of the clinical workflow. Additional complexity is encountered when updating enterprise-wide knowledge bases and delivering the content through multiple modalities to different consumers. We present the experience of Mayo Clinic as a case study to examine the requirements and implementation challenges related to knowledge management across a large, multi-site medical center. The lessons learned through the development of our knowledge management and delivery platform will help inform the future development of interoperable knowledge resources.

Knowledge as a Service at the Point of Care

PubMed Central

Shellum, Jane L.; Freimuth, Robert R.; Peters, Steve G.; Nishimura, Rick A.; Chaudhry, Rajeev; Demuth, Steve J.; Knopp, Amy L.; Miksch, Timothy A.; Milliner, Dawn S.

2016-01-01

An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, order sets, and dashboards. All of these decision support tools are based on clinical knowledge; unfortunately, the mechanisms for managing rules, order sets, Infobuttons, and dashboards are often unrelated, making it difficult to coordinate the application of clinical knowledge to various components of the clinical workflow. Additional complexity is encountered when updating enterprise-wide knowledge bases and delivering the content through multiple modalities to different consumers. We present the experience of Mayo Clinic as a case study to examine the requirements and implementation challenges related to knowledge management across a large, multi-site medical center. The lessons learned through the development of our knowledge management and delivery platform will help inform the future development of interoperable knowledge resources. PMID:28269911

Effects of Age, Sex, and Neuropsychological Performance on Financial Decision-Making

PubMed Central

Shivapour, Sara K.; Nguyen, Christopher M.; Cole, Catherine A.; Denburg, Natalie L.

2012-01-01

The capacity to make sound financial decisions across the lifespan is critical for interpersonal, occupational, and psychological health and success. In the present study, we explored how healthy younger and older adults make a series of increasingly complex financial decisions. One-hundred sixteen healthy older adults, aged 56–90 years, and 102 college undergraduates, completed the Financial Decision-Making Questionnaire, which requires selecting and justifying financial choices across four hypothetical scenarios and answering questions pertaining to financial knowledge. Results indicated that Older participants significantly outperformed Younger participants on a multiple-choice test of acquired financial knowledge. However, after controlling for such pre-existing knowledge, several age effects were observed. For example, Older participants were more likely to make immediate investment decisions, whereas Younger participants exhibited a preference for delaying decision-making pending additional information. Older participants also rated themselves as more concerned with avoiding monetary loss (i.e., a prevention orientation), whereas Younger participants reported greater interest in financial gain (i.e., a promotion orientation). In terms of sex differences, Older Males were more likely to pay credit card bills and utilize savings accounts than were Older Females. Multiple positive correlations were observed between Older participants’ financial decision-making ability and performance on neuropsychological measures of non-verbal intellect and executive functioning. Lastly, the ability to justify one’s financial decisions declined with age, among the Older participants. Several of the aforementioned results parallel findings from the medical decision-making literature, suggesting that older adults make decisions in a manner that conserves diminishing cognitive resources. PMID:22715322

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.

Familiarity and Recollection in Heuristic Decision Making

PubMed Central

Schwikert, Shane R.; Curran, Tim

2014-01-01

Heuristics involve the ability to utilize memory to make quick judgments by exploiting fundamental cognitive abilities. In the current study we investigated the memory processes that contribute to the recognition heuristic and the fluency heuristic, which are both presumed to capitalize on the by-products of memory to make quick decisions. In Experiment 1, we used a city-size comparison task while recording event-related potentials (ERPs) to investigate the potential contributions of familiarity and recollection to the two heuristics. ERPs were markedly different for recognition heuristic-based decisions and fluency heuristic-based decisions, suggesting a role for familiarity in the recognition heuristic and recollection in the fluency heuristic. In Experiment 2, we coupled the same city-size comparison task with measures of subjective pre-experimental memory for each stimulus in the task. Although previous literature suggests the fluency heuristic relies on recognition speed alone, our results suggest differential contributions of recognition speed and recollected knowledge to these decisions, whereas the recognition heuristic relies on familiarity. Based on these results, we created a new theoretical frame work that explains decisions attributed to both heuristics based on the underlying memory associated with the choice options. PMID:25347534

Familiarity and recollection in heuristic decision making.

PubMed

Schwikert, Shane R; Curran, Tim

2014-12-01

Heuristics involve the ability to utilize memory to make quick judgments by exploiting fundamental cognitive abilities. In the current study we investigated the memory processes that contribute to the recognition heuristic and the fluency heuristic, which are both presumed to capitalize on the byproducts of memory to make quick decisions. In Experiment 1, we used a city-size comparison task while recording event-related potentials (ERPs) to investigate the potential contributions of familiarity and recollection to the 2 heuristics. ERPs were markedly different for recognition heuristic-based decisions and fluency heuristic-based decisions, suggesting a role for familiarity in the recognition heuristic and recollection in the fluency heuristic. In Experiment 2, we coupled the same city-size comparison task with measures of subjective preexperimental memory for each stimulus in the task. Although previous literature suggests the fluency heuristic relies on recognition speed alone, our results suggest differential contributions of recognition speed and recollected knowledge to these decisions, whereas the recognition heuristic relies on familiarity. Based on these results, we created a new theoretical framework that explains decisions attributed to both heuristics based on the underlying memory associated with the choice options. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Impacts of Maximizing Tendencies on Experience-Based Decisions.

PubMed

Rim, Hye Bin

2017-06-01

Previous research on risky decisions has suggested that people tend to make different choices depending on whether they acquire the information from personally repeated experiences or from statistical summary descriptions. This phenomenon, called as a description-experience gap, was expected to be moderated by the individual difference in maximizing tendencies, a desire towards maximizing decisional outcome. Specifically, it was hypothesized that maximizers' willingness to engage in extensive information searching would lead maximizers to make experience-based decisions as payoff distributions were given explicitly. A total of 262 participants completed four decision problems. Results showed that maximizers, compared to non-maximizers, drew more samples before making a choice but reported lower confidence levels on both the accuracy of knowledge gained from experiences and the likelihood of satisfactory outcomes. Additionally, maximizers exhibited smaller description-experience gaps than non-maximizers as expected. The implications of the findings and unanswered questions for future research were discussed.

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

PubMed

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

2016-01-01

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

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.

How Informed is the Decision about Breast Reconstruction after Mastectomy? A Prospective, Cross-sectional Study

PubMed Central

Lee, Clara Nan-hi; Ubel, Peter Anthony; Deal, Allison M; Blizard, Lillian Burdick; Sepucha, Karen R; Ollila, David W.; Pignone, Michael Patrick

2017-01-01

Objective to assess how informed patients are about breast reconstruction, and how involved they are in decision making. Summary Background Data Breast reconstruction is an important treatment option for patients undergoing mastectomy. Wide variations in who gets reconstruction, however, have led to concerns about decision making. Methods We conducted a prospective cross-sectional study of patients planning mastectomy at a single site, over 20 months. Before surgery, patients completed a survey with validated scales to assess knowledge about breast reconstruction and involvement in decision making. Factors associated with knowledge were examined in a multivariable linear regression model. Results 145 patients enrolled (77% enrollment rate), and 126 remained eligible. The overall knowledge score was 58.5% (out of 100%). Knowledge about risk of complications was especially low at 14.3%. Knowledge did not differ by treatment (reconstruction or not). On multivariable analysis, non-white race was independently associated with lower knowledge. Most patients (92.1%) reported some discussion with a provider about reconstruction, and most (90.4%) reported being asked their preference. More patients reported discussing the advantages of reconstruction (57.9%) than the disadvantages (27.8%). Conclusions Women undergoing mastectomy in this sample were highly involved in decision making but had major deficits in knowledge about the procedure. Knowledge about the risk of complications was particularly low. Providers appeared to have discussed the advantages of reconstruction more than its disadvantages. PMID:26727092

Students' Reasoning Processes in Making Decisions about an Authentic, Local Socio-Scientific Issue: Bat Conservation

ERIC Educational Resources Information Center

Lee, Yeung Chung; Grace, Marcus

2010-01-01

Education for scientific literacy entails the development of scientific knowledge and the ability to apply this knowledge and value judgments to decisions about real-life issues. This paper reports an attempt to involve secondary level biology students in making decisions about an authentic socio-scientific issue--that of bat conservation--through…

Use of Indigenous Knowledge in Environmental Decision-Making by Communities in the Kumaon Himalayas

ERIC Educational Resources Information Center

Honwad, Sameer

2010-01-01

This study is designed to find out how people in rural communities residing in the middle Himalayas use indigenous knowledge to support environmental decisions while addressing water and land use related concerns. The study not only serves to enrich our understanding of community decision-making, especially as connected to land use and ecological…

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.

Military Service and Decision Quality in the Management of Knee Osteoarthritis.

PubMed

Henderson, Eric R; Titus, Alexander J; Keeney, Benjamin J; Goodney, Philip P; Lurie, Jon D; Ibrahim, Said A

2018-05-18

Decision quality measures the degree to which care decisions are knowledge-based and value-aligned. Because military service emphasizes hierarchy, command, and mandates some healthcare decisions, military service may attenuate patient autonomy in healthcare decisions and lower decision quality. VA is the nation's largest provider of orthopedic care. We compared decision quality in a sample of VA and non-VA patients seeking care for knee osteoarthritis. Our study sample consisted of patients newly referred to our orthopedic clinic for the management of knee osteoarthritis. None of the study patients were exposed to a knee osteoarthritis decision aid. Consenting patients were administered the Hip/Knee Decision Quality Instrument (HK-DQI). In addition, they were surveyed about decision-making preferences and demographics. We compared results to a non-VA cohort from our academic institution's arthroplasty database. The HK-DQI Knowledge Score was lower in the VA cohort (45%, SD = 22, n = 25) compared with the non-VA cohort (53%, SD = 21, n = 177) (p = 0.04). The Concordance Score was lower in the VA cohort (36%, SD = 49%) compared with the control cohort (70%, SD 46%) (p = 0.003). Non-VA patients were more likely to make a high-quality decision (p = 0.05). Non-VA patients were more likely to favor a shared decision-making process (p = 0.002). Decision quality is lower in Veterans with knee osteoarthritis compared with civilians, placing them at risk for lower treatment satisfaction and possibly unwarranted surgical utilization. Our future work will examine if this difference is from conditioned military service behaviors or confounding demographic factors, and if conventional shared decision-making techniques will correct this deficiency.

Digital Solutions for Informed Decision Making: An Academic-Community Partnership for the Development of a Prostate Cancer Decision Aid for African American Men.

PubMed

Owens, Otis L; Friedman, Daniela B; Brandt, Heather M; Bernhardt, Jay M; Hébert, James R

2016-05-01

African American (AA) men are significantly more likely to die of prostate cancer (PrCA) than other racial groups, and there is a critical need to identify strategies for providing information about PrCA screening and the importance of informed decision making (IDM). To assess whether a computer-based IDM intervention for PrCA screening would be appropriate for AA men, this formative evaluation study examined their (1) PrCA risk and screening knowledge; (2) decision-making processes for PrCA screening; (3) usage of, attitudes toward, and access to interactive communication technologies (ICTs); and (4) perceptions regarding a future, novel, computer-based PrCA education intervention. A purposive convenience sample of 39 AA men aged 37 to 66 years in the Southeastern United States was recruited through faith-based organizations to participate in one of six 90-minute focus groups and complete a 45-item descriptive survey. Participants were generally knowledgeable about PrCA. However, few engaged in IDM with their doctor and few were informed about the associated risks and uncertainties of PrCA screening. Most participants used ICTs on a daily basis for various purposes including health information seeking. Most participants were open to a novel, computer-based intervention if the system was easy to use and its animated avatars were culturally appropriate. Because study participants had low exposure to IDM for PrCA, but frequently used ICTs, IDM interventions using ICTs (e.g., computers) hold promise for AA men and should be explored for feasibility and effectiveness. These interventions should aim to increase PrCA screening knowledge and stress the importance of participating in IDM with doctors. © The Author(s) 2015.

Nordic couples' decision-making processes during assisted reproduction treatments.

PubMed

Sol Olafsdottir, Helga; Wikland, Matts; Möller, Anders

2013-06-01

To study couples' perceptions of their decision-making process during the first three years of infertility treatments. This study is a part of a larger project studying the decision-making processes of 22 infertile heterosexual couples, recruited from fertility clinics in all five Nordic countries, over a three year period. A descriptive qualitative method was used. Process of decision-making during assisted reproduction treatments. Seventeen couples had succeeded in becoming parents after approximately three years. Our study suggests that the decision-making process during fertility treatments has three phases: (i) recognizing the decisions to be made, with subcategories; the driving force, mutual project, (ii) gathering knowledge and experience about the options, with subcategories; trust, patient competence, personalized support, and (iii) adapting decisions to possible options, with subcategories; strategic planning, adaption. The core category was "maintaining control in a situation of uncertainty." Two parallel processes affect couples' decision-making process, one within themselves and their relationship, and the other in their contact with the fertility clinic. Couples struggle to make decisions, trusting clinic personnel for guidance, knowledge, and understanding. Nevertheless, couples expressed disappointment with the clinics' reactions to their requests for shared decision-making. Copyright © 2013 Elsevier B.V. All rights reserved.

Does the Medicare Part D Decision-Making Experience Differ by Rural/Urban Location?

PubMed

Henning-Smith, Carrie; Casey, Michelle; Moscovice, Ira

2017-01-01

Although much has been written about Medicare Part D enrollment, much less is known about beneficiaries' personal experiences with choosing a Part D plan, especially among rural residents. This study sought to address this gap by examining geographic differences in Part D enrollees' perceptions of the plan decision-making process, including their confidence in their choice, their knowledge about the program, and their satisfaction with available information. We used data from the 2012 Medicare Current Beneficiary Survey and included adults ages 65 and older who were enrolled in Part D at the time of the survey (n = 3,706). We used ordered logistic regression to model 4 outcomes based on beneficiaries' perceptions of the Part D decision-making and enrollment process, first accounting only for differences by rurality, then adjusting for sociodemographic, health, and coverage characteristics. Overall, half of all beneficiaries were not very confident in their Part D knowledge. Rural beneficiaries had lower odds of being confident in the plan they chose and in being satisfied with the amount of information available to them during the decision-making process. After adjusting for all covariates, micropolitan residents continued to have lower odds of being confident in the plan that they chose. Policy-makers should pay particular attention to making information about Part D easily accessible for all beneficiaries and to addressing unique barriers that rural residents have in accessing information while making decisions, such as reduced Internet availability. Furthermore, confidence in the decision-making process may be improved by simplifying the Part D program. © 2016 National Rural Health Association.

Sound credit scores and financial decisions despite cognitive aging

PubMed Central

Li, Ye; Gao, Jie; Enkavi, A. Zeynep; Zaval, Lisa; Weber, Elke U.; Johnson, Eric J.

2015-01-01

Age-related deterioration in cognitive ability may compromise the ability of older adults to make major financial decisions. We explore whether knowledge and expertise accumulated from past decisions can offset cognitive decline to maintain decision quality over the life span. Using a unique dataset that combines measures of cognitive ability (fluid intelligence) and of general and domain-specific knowledge (crystallized intelligence), credit report data, and other measures of decision quality, we show that domain-specific knowledge and expertise provide an alternative route for sound financial decisions. That is, cognitive aging does not spell doom for financial decision-making in domains where the decision maker has developed expertise. These results have important implications for public policy and for the design of effective interventions and decision aids. PMID:25535381

An Interactive Medical Knowledge Assistant

NASA Astrophysics Data System (ADS)

Czejdo, Bogdan D.; Baszun, Mikolaj

This paper describes an interactive medical knowledge assistant that can help a doctor or a patient in making important health related decisions. The system is Web based and consists of several modules, including a medical knowledge base, a doctor interface module, patient interface module and a the main module of the medical knowledge assistant. The medical assistant is designed to help interpret the fuzzy data using rough sets approach. The patient interface includes sub-system for real time monitoring of patients' health parameters and sending them to the main module of the medical knowledge assistant.

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)

An Investigation of Data Overload in Team-Based Distributed Cognition Systems

ERIC Educational Resources Information Center

Hellar, David Benjamin

2009-01-01

The modern military command center is a hybrid system of computer automated surveillance and human oriented decision making. In these distributed cognition systems, data overload refers simultaneously to the glut of raw data processed by information technology systems and the dearth of actionable knowledge useful to human decision makers.…

Integrating land cover modeling and adaptive management to conserve endangered species and reduce catastrophic fire risk

USGS Publications Warehouse

Breininger, David; Duncan, Brean; Eaton, Mitchell J.; Johnson, Fred; Nichols, James

2014-01-01

Land cover modeling is used to inform land management, but most often via a two-step process, where science informs how management alternatives can influence resources, and then, decision makers can use this information to make decisions. A more efficient process is to directly integrate science and decision-making, where science allows us to learn in order to better accomplish management objectives and is developed to address specific decisions. Co-development of management and science is especially productive when decisions are complicated by multiple objectives and impeded by uncertainty. Multiple objectives can be met by the specification of tradeoffs, and relevant uncertainty can be addressed through targeted science (i.e., models and monitoring). We describe how to integrate habitat and fuel monitoring with decision-making focused on the dual objectives of managing for endangered species and minimizing catastrophic fire risk. Under certain conditions, both objectives might be achieved by a similar management policy; other conditions require tradeoffs between objectives. Knowledge about system responses to actions can be informed by developing hypotheses based on ideas about fire behavior and then applying competing management actions to different land units in the same system state. Monitoring and management integration is important to optimize state-specific management decisions and to increase knowledge about system responses. We believe this approach has broad utility and identifies a clear role for land cover modeling programs intended to inform decision-making.

The Importance of Leadership and Learning Organizations

DTIC Science & Technology

2013-03-01

qualities that allow a person to make the right decision in any situation.6 Skills are the knowledge and abilities gained to perform the required duties...leader can make improvements to meet changes in the situational environment. Leaders base their knowledge on experiences, education, and insight that they...front of them with the assets available to them. They are able to manage a variety of tasks with different priorities and demands. The Army is re

Validating a Model of Team Collaboration at the North American Aerospace Defense Command Using Selected Transcripts from September 11, 2001

DTIC Science & Technology

2008-06-01

1. Input........................................................................................ 21 2. Team Knowledge Base Construction...awareness. Team cognition differs from individual cognition. To effectively perform as a team, each member must share knowledge and understand his/her...sufficient to achieve situational awareness for decision-making or creation of a product. Knowledge interoperability is the identification, collection

Selection of Construction Methods: A Knowledge-Based Approach

PubMed Central

Skibniewski, Miroslaw

2013-01-01

The appropriate selection of construction methods to be used during the execution of a construction project is a major determinant of high productivity, but sometimes this selection process is performed without the care and the systematic approach that it deserves, bringing negative consequences. This paper proposes a knowledge management approach that will enable the intelligent use of corporate experience and information and help to improve the selection of construction methods for a project. Then a knowledge-based system to support this decision-making process is proposed and described. To define and design the system, semistructured interviews were conducted within three construction companies with the purpose of studying the way that the method' selection process is carried out in practice and the knowledge associated with it. A prototype of a Construction Methods Knowledge System (CMKS) was developed and then validated with construction industry professionals. As a conclusion, the CMKS was perceived as a valuable tool for construction methods' selection, by helping companies to generate a corporate memory on this issue, reducing the reliance on individual knowledge and also the subjectivity of the decision-making process. The described benefits as provided by the system favor a better performance of construction projects. PMID:24453925

Spatio-Temporal Neural Networks for Vision, Reasoning and Rapid Decision Making

DTIC Science & Technology

1994-08-31

something that is obviously not pattern for long-term knowledge base (LTKB) facts. As a matter possiblc in common neural networks (as units in a...Conferences on Neural Davis, P. (19W0) Application of op~tical chaos to temporal pattern search in a Networks . Piscataway, NJ. [SC] nonlinear optical...Science Institute PROJECT TITLE: Spatio-temporal Neural Networks for Vision, Reasoning and Rapid Decision Making (N00014-93-1-1149) Number of ONR

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.

Evidence-based management - healthcare manager viewpoints.

PubMed

Janati, Ali; Hasanpoor, Edris; Hajebrahimi, Sakineh; Sadeghi-Bazargani, Homayoun

2018-06-11

Purpose Hospital manager decisions can have a significant impact on service effectiveness and hospital success, so using an evidence-based approach can improve hospital management. The purpose of this paper is to identify evidence-based management (EBMgt) components and challenges. Consequently, the authors provide an improving evidence-based decision-making framework. Design/methodology/approach A total of 45 semi-structured interviews were conducted in 2016. The authors also established three focus group discussions with health service managers. Data analysis followed deductive qualitative analysis guidelines. Findings Four basic themes emerged from the interviews, including EBMgt evidence sources (including sub-themes: scientific and research evidence, facts and information, political-social development plans, managers' professional expertise and ethical-moral evidence); predictors (sub-themes: stakeholder values and expectations, functional behavior, knowledge, key competencies and skill, evidence sources, evidence levels, uses and benefits and government programs); EBMgt barriers (sub-themes: managers' personal characteristics, decision-making environment, training and research system and organizational issues); and evidence-based hospital management processes (sub-themes: asking, acquiring, appraising, aggregating, applying and assessing). Originality/value Findings suggest that most participants have positive EBMgt attitudes. A full evidence-based hospital manager is a person who uses all evidence sources in a six-step decision-making process. EBMgt frameworks are a good tool to manage healthcare organizations. The authors found factors affecting hospital EBMgt and identified six evidence sources that healthcare managers can use in evidence-based decision-making processes.

How the dual process model of human cognition can inform efforts to de-implement ineffective and harmful clinical practices: A preliminary model of unlearning and substitution.

PubMed

Helfrich, Christian D; Rose, Adam J; Hartmann, Christine W; van Bodegom-Vos, Leti; Graham, Ian D; Wood, Suzanne J; Majerczyk, Barbara R; Good, Chester B; Pogach, Leonard M; Ball, Sherry L; Au, David H; Aron, David C

2018-02-01

One way to understand medical overuse at the clinician level is in terms of clinical decision-making processes that are normally adaptive but become maladaptive. In psychology, dual process models of cognition propose 2 decision-making processes. Reflective cognition is a conscious process of evaluating options based on some combination of utility, risk, capabilities, and/or social influences. Automatic cognition is a largely unconscious process occurring in response to environmental or emotive cues based on previously learned, ingrained heuristics. De-implementation strategies directed at clinicians may be conceptualized as corresponding to cognition: (1) a process of unlearning based on reflective cognition and (2) a process of substitution based on automatic cognition. We define unlearning as a process in which clinicians consciously change their knowledge, beliefs, and intentions about an ineffective practice and alter their behaviour accordingly. Unlearning has been described as "the questioning of established knowledge, habits, beliefs and assumptions as a prerequisite to identifying inappropriate or obsolete knowledge underpinning and/or embedded in existing practices and routines." We hypothesize that as an unintended consequence of unlearning strategies clinicians may experience "reactance," ie, feel their professional prerogative is being violated and, consequently, increase their commitment to the ineffective practice. We define substitution as replacing the ineffective practice with one or more alternatives. A substitute is a specific alternative action or decision that either precludes the ineffective practice or makes it less likely to occur. Both approaches may work independently, eg, a substitute could displace an ineffective practice without changing clinicians' knowledge, and unlearning could occur even if no alternative exists. For some clinical practice, unlearning and substitution strategies may be most effectively used together. By taking into account the dual process model of cognition, we may be able to design de-implementation strategies matched to clinicians' decision-making processes and avoid unintended consequence. © 2018 The Authors. Journal of Evaluation in Clinical Practice published by John Wiley & Sons, Ltd.

Facilitating access to pre-processed research evidence in public health

PubMed Central

2010-01-01

Background Evidence-informed decision making is accepted in Canada and worldwide as necessary for the provision of effective health services. This process involves: 1) clearly articulating a practice-based issue; 2) searching for and accessing relevant evidence; 3) appraising methodological rigor and choosing the most synthesized evidence of the highest quality and relevance to the practice issue and setting that is available; and 4) extracting, interpreting, and translating knowledge, in light of the local context and resources, into practice, program and policy decisions. While the public health sector in Canada is working toward evidence-informed decision making, considerable barriers, including efficient access to synthesized resources, exist. Methods In this paper we map to a previously developed 6 level pyramid of pre-processed research evidence, relevant resources that include public health-related effectiveness evidence. The resources were identified through extensive searches of both the published and unpublished domains. Results Many resources with public health-related evidence were identified. While there were very few resources dedicated solely to public health evidence, many clinically focused resources include public health-related evidence, making tools such as the pyramid, that identify these resources, particularly helpful for public health decisions makers. A practical example illustrates the application of this model and highlights its potential to reduce the time and effort that would be required by public health decision makers to address their practice-based issues. Conclusions This paper describes an existing hierarchy of pre-processed evidence and its adaptation to the public health setting. A number of resources with public health-relevant content that are either freely accessible or requiring a subscription are identified. This will facilitate easier and faster access to pre-processed, public health-relevant evidence, with the intent of promoting evidence-informed decision making. Access to such resources addresses several barriers identified by public health decision makers to evidence-informed decision making, most importantly time, as well as lack of knowledge of resources that house public health-relevant evidence. PMID:20181270

Towards public health decision support: a systematic review of bidirectional communication approaches.

PubMed

Dixon, Brian E; Gamache, Roland E; Grannis, Shaun J

2013-05-01

To summarize the literature describing computer-based interventions aimed at improving bidirectional communication between clinical and public health. A systematic review of English articles using MEDLINE and Google Scholar. Search terms included public health, epidemiology, electronic health records, decision support, expert systems, and decision-making. Only articles that described the communication of information regarding emerging health threats from public health agencies to clinicians or provider organizations were included. Each article was independently reviewed by two authors. Ten peer-reviewed articles highlight a nascent but promising area of research and practice related to alerting clinicians about emerging threats. Current literature suggests that additional research and development in bidirectional communication infrastructure should focus on defining a coherent architecture, improving interoperability, establishing clear governance, and creating usable systems that will effectively deliver targeted, specific information to clinicians in support of patient and population decision-making. Increasingly available clinical information systems make it possible to deliver timely, relevant knowledge to frontline clinicians in support of population health. Future work should focus on developing a flexible, interoperable infrastructure for bidirectional communications capable of integrating public health knowledge into clinical systems and workflows.

Evolution of Public Participation in the Assessment and Management of Environmental Health Risks: A Brief History of Developments in the United States

PubMed Central

Sexton, Ken

2013-01-01

Significance for public health Risk-based decision making is a core feature of government actions aimed at protecting public health from the adverse effects of environmental hazards. In the past, it has often been an expert-driven, mostly obscure process used by federal agencies to justify and defend regulatory decisions made outside the public arena. But the nature of decision making has changed as it has become apparent that environmental health problems are more complicated, controversial, and costly to solve than originally thought. Meaningful public engagement is now an inherent component of all phases of the risk assessment – risk management paradigm because it promotes stakeholder buy in, taps into unique stakeholder knowledge, and promotes the concept of environmental democracy. In the United States, the risk assessment – risk management paradigm that underpins federal decisions about environmental health risks was first established in 1983. In the beginning, the importance of public participation was not explicitly recognized within the paradigm. Over time, however, it has become evident that not only must risk-based decisions be founded on the best available scientific knowledge and understanding, but also that they must take account of the knowledge, values, and preferences of interested and affected parties, including community members, business people, and environmental advocates. This article examines the gradually expanding role of public participation in risk-based decision making in the United States, and traces its evolution from a peripheral issue labeled as an external pressure to an integral element of the 21st century risk assessment – risk management paradigm. Today, and into the foreseeable future, public participation and stakeholder involvement are intrinsic features of the emerging American regulatory landscape, which emphasizes collaborative approaches for achieving cooperative and cost-effective solutions to complicated and often controversial environmental health problems. PMID:25170489

Evolution of public participation in the assessment and management of environmental health risks: a brief history of developments in the United States.

PubMed

Sexton, Ken

2013-09-02

Significance for public healthRisk-based decision making is a core feature of government actions aimed at protecting public health from the adverse effects of environmental hazards. In the past, it has often been an expert-driven, mostly obscure process used by federal agencies to justify and defend regulatory decisions made outside the public arena. But the nature of decision making has changed as it has become apparent that environmental health problems are more complicated, controversial, and costly to solve than originally thought. Meaningful public engagement is now an inherent component of all phases of the risk assessment - risk management paradigm because it promotes stakeholder buy in, taps into unique stakeholder knowledge, and promotes the concept of environmental democracy.In the United States, the risk assessment - risk management paradigm that underpins federal decisions about environmental health risks was first established in 1983. In the beginning, the importance of public participation was not explicitly recognized within the paradigm. Over time, however, it has become evident that not only must risk-based decisions be founded on the best available scientific knowledge and understanding, but also that they must take account of the knowledge, values, and preferences of interested and affected parties, including community members, business people, and environmental advocates. This article examines the gradually expanding role of public participation in risk-based decision making in the United States, and traces its evolution from a peripheral issue labeled as an external pressure to an integral element of the 21st century risk assessment - risk management paradigm. Today, and into the foreseeable future, public participation and stakeholder involvement are intrinsic features of the emerging American regulatory landscape, which emphasizes collaborative approaches for achieving cooperative and cost-effective solutions to complicated and often controversial environmental health problems.

Cooking and Staff Development: A Blend of Training and Experience.

ERIC Educational Resources Information Center

Koll, Patricia; Anderson, Jim

1982-01-01

The making of a staff developer combines deliberate, systematic training and an accumulation of knowledge, skills, and assumptions based on experience. Staff developers must understand school practices and adult learning theory, shared decision-making and organization of support, and be flexible, creative, and committed to their work. (PP)

Don't bet on it! Wagering as a measure of awareness in decision making under uncertainty.

PubMed

Konstantinidis, Emmanouil; Shanks, David R

2014-12-01

Can our decisions be guided by unconscious or implicit influences? According to the somatic marker hypothesis, emotion-based signals can guide our decisions in uncertain environments outside awareness. Postdecision wagering, in which participants make wagers on the outcomes of their decisions, has been recently proposed as an objective and sensitive measure of conscious content. In 5 experiments we employed variations of a classic decision-making assessment, the Iowa Gambling Task, in combination with wagering in order to investigate the role played by unconscious influences. We examined the validity of postdecision wagering by comparing it with alternative measures of conscious knowledge, specifically confidence ratings and quantitative questions. Consistent with a putative role for unconscious influences, in Experiments 2 and 3 we observed a lag between choice accuracy and the onset of advantageous wagering. However, the lag was eliminated by a change in the wagering payoff matrix (Experiment 2) and by a switch from a binary wager response to either a binary or a 4-point confidence response (Experiment 3), and wagering underestimated awareness compared to explicit quantitative questions (Experiments 1 and 4). Our results demonstrate the insensitivity of postdecision wagering as a direct measure of conscious knowledge and challenge the claim that implicit processes influence decision making under uncertainty. PsycINFO Database Record (c) 2014 APA, all rights reserved.

Review of experimental studies in social psychology of small groups when an optimal choice exists and application to operating room management decision-making.

PubMed

Prahl, Andrew; Dexter, Franklin; Braun, Michael T; Van Swol, Lyn

2013-11-01

Because operating room (OR) management decisions with optimal choices are made with ubiquitous biases, decisions are improved with decision-support systems. We reviewed experimental social-psychology studies to explore what an OR leader can do when working with stakeholders lacking interest in learning the OR management science but expressing opinions about decisions, nonetheless. We considered shared information to include the rules-of-thumb (heuristics) that make intuitive sense and often seem "close enough" (e.g., staffing is planned based on the average workload). We considered unshared information to include the relevant mathematics (e.g., staffing calculations). Multiple studies have shown that group discussions focus more on shared than unshared information. Quality decisions are more likely when all group participants share knowledge (e.g., have taken a course in OR management science). Several biases in OR management are caused by humans' limited abilities to estimate tails of probability distributions in their heads. Groups are more susceptible to analogous biases than are educated individuals. Since optimal solutions are not demonstrable without groups sharing common language, only with education of most group members can a knowledgeable individual influence the group. The appropriate model of decision-making is autocratic, with information obtained from stakeholders. Although such decisions are good quality, the leaders often are disliked and the decisions considered unjust. In conclusion, leaders will find the most success if they do not bring OR management operational decisions to groups, but instead act autocratically while obtaining necessary information in 1:1 conversations. The only known route for the leader making such decisions to be considered likable and for the decisions to be considered fair is through colleagues and subordinates learning the management science.

Launching a virtual decision lab: development and field-testing of a web-based patient decision support research platform.

PubMed

Hoffman, Aubri S; Llewellyn-Thomas, Hilary A; Tosteson, Anna N A; O'Connor, Annette M; Volk, Robert J; Tomek, Ivan M; Andrews, Steven B; Bartels, Stephen J

2014-12-12

Over 100 trials show that patient decision aids effectively improve patients' information comprehension and values-based decision making. However, gaps remain in our understanding of several fundamental and applied questions, particularly related to the design of interactive, personalized decision aids. This paper describes an interdisciplinary development process for, and early field testing of, a web-based patient decision support research platform, or virtual decision lab, to address these questions. An interdisciplinary stakeholder panel designed the web-based research platform with three components: a) an introduction to shared decision making, b) a web-based patient decision aid, and c) interactive data collection items. Iterative focus groups provided feedback on paper drafts and online prototypes. A field test assessed a) feasibility for using the research platform, in terms of recruitment, usage, and acceptability; and b) feasibility of using the web-based decision aid component, compared to performance of a videobooklet decision aid in clinical care. This interdisciplinary, theory-based, patient-centered design approach produced a prototype for field-testing in six months. Participants (n = 126) reported that: the decision aid component was easy to use (98%), information was clear (90%), the length was appropriate (100%), it was appropriately detailed (90%), and it held their interest (97%). They spent a mean of 36 minutes using the decision aid and 100% preferred using their home/library computer. Participants scored a mean of 75% correct on the Decision Quality, Knowledge Subscale, and 74 out of 100 on the Preparation for Decision Making Scale. Completing the web-based decision aid reduced mean Decisional Conflict scores from 31.1 to 19.5 (p < 0.01). Combining decision science and health informatics approaches facilitated rapid development of a web-based patient decision support research platform that was feasible for use in research studies in terms of recruitment, acceptability, and usage. Within this platform, the web-based decision aid component performed comparably with the videobooklet decision aid used in clinical practice. Future studies may use this interactive research platform to study patients' decision making processes in real-time, explore interdisciplinary approaches to designing web-based decision aids, and test strategies for tailoring decision support to meet patients' needs and preferences.

Manage Toward Success - Utilization of Analytics in Acquisition Decision Making

DTIC Science & Technology

2015-04-01

on the concept of knowledge- based acquisition described by the GAO. In the GAO (2005) report for National Aeronautics and Space Administration ( NASA ...acquisition programs, GAO recommended to NASA , and NASA subsequently con- curred, that transition to a knowledge-based acquisition framework will...Certification and Accreditation Process; ERAM = Enterprise Risk Assessment Manager; EVMS = Earned Value Management System; GOV = Government; POA&M = Plan of

Insights into water managers' perception and handling of uncertainties - a study of the role of uncertainty in practitioners' planning and decision-making

NASA Astrophysics Data System (ADS)

Höllermann, Britta; Evers, Mariele

2017-04-01

Planning and decision-making under uncertainty is common in water management due to climate variability, simplified models, societal developments, planning restrictions just to name a few. Dealing with uncertainty can be approached from two sites, hereby affecting the process and form of communication: Either improve the knowledge base by reducing uncertainties or apply risk-based approaches to acknowledge uncertainties throughout the management process. Current understanding is that science more strongly focusses on the former approach, while policy and practice are more actively applying a risk-based approach to handle incomplete and/or ambiguous information. The focus of this study is on how water managers perceive and handle uncertainties at the knowledge/decision interface in their daily planning and decision-making routines. How they evaluate the role of uncertainties for their decisions and how they integrate this information into the decision-making process. Expert interviews and questionnaires among practitioners and scientists provided an insight into their perspectives on uncertainty handling allowing a comparison of diverse strategies between science and practice as well as between different types of practitioners. Our results confirmed the practitioners' bottom up approach from potential measures upwards instead of impact assessment downwards common in science-based approaches. This science-practice gap may hinder effective uncertainty integration and acknowledgement in final decisions. Additionally, the implementation of an adaptive and flexible management approach acknowledging uncertainties is often stalled by rigid regulations favouring a predict-and-control attitude. However, the study showed that practitioners' level of uncertainty recognition varies with respect to his or her affiliation to type of employer and business unit, hence, affecting the degree of the science-practice-gap with respect to uncertainty recognition. The level of working experience was examined as a cross-cutting property of science and practice with increasing levels of uncertainty awareness and integration among more experienced researchers and practitioners. In conclusion, our study of water managers' perception and handling of uncertainties provides valuable insights for finding routines for uncertainty communication and integration into planning and decision-making processes by acknowledging the divers perceptions among producers, users and receivers of uncertainty information. These results can contribute to more effective integration of hydrological forecast and improved decisions.

Informed decision-making with and for people with dementia - efficacy of the PRODECIDE education program for legal representatives: protocol of a randomized controlled trial (PRODECIDE-RCT).

PubMed

Lühnen, Julia; Haastert, Burkhard; Mühlhauser, Ingrid; Richter, Tanja

2017-09-15

In Germany, the guardianship system provides adults who are no longer able to handle their own affairs a court-appointed legal representative, for support without restriction of legal capacity. Although these representatives only rarely are qualified in healthcare, they nevertheless play decisive roles in the decision-making processes for people with dementia. Previously, we developed an education program (PRODECIDE) to address this shortcoming and tested it for feasibility. Typical, autonomy-restricting decisions in the care of people with dementia-namely, using percutaneous endoscopic gastrostomy (PEG) or physical restrains (PR), or the prescription of antipsychotic drugs (AP)-were the subject areas trained. The training course aims to enhance the competency of legal representatives in informed decision-making. In this study, we will evaluate the efficacy of the PRODECIDE education program. A randomized controlled trial with a six-month follow-up will be conducted to compare the PRODECIDE education program with standard care, enrolling legal representatives (N = 216). The education program lasts 10 h and comprises four modules: A, decision-making processes and methods; and B, C and D, evidence-based knowledge about PEG, PR and AP, respectively. The primary outcome measure is knowledge, which is operationalized as the understanding of decision-making processes in healthcare affairs and in setting realistic expectations about benefits and harms of PEG, PR and AP in people with dementia. Secondary outcomes are sufficient and sustainable knowledge and percentage of persons concerned affected by PEG, FEM or AP. A qualitative process evaluation will be performed. Additionally, to support implementation, a concept for translating the educational contents into e-learning modules will be developed. The study results will show whether the efficacy of the education program could justify its implementation into the regular training curricula for legal representatives. Additionally, it will determine whether an e-learning course provides a valuable backup or even alternative learning strategy. TRN: ISRCTN17960111 , Date: 01/06/2017.

In-the-Moment Teaching Decisions in Primary Grade Reading: The Role of Context and Teacher Knowledge

ERIC Educational Resources Information Center

Griffith, Robin; Bauml, Michelle; Barksdale, Bonnie

2015-01-01

This study provides insight into the in-the-moment teaching decisions made during reading instruction in the primary grades. Eight exemplary teachers of reading drew upon pedagogical knowledge and pedagogical content knowledge to make these in-the-moment decisions. Findings indicate the focus of teachers' in-the-moment decisions varied depending…

A Study Combining Criticism and Qualitative Research Techniques for Appraising Classroom Media.

ERIC Educational Resources Information Center

Swartz, James D.

Qualitative criticism is a method of understanding things, actions, and events within a social framework. It is a method of acquiring knowledge to guide decision making based on local knowledge and a synthesis of principles from criticism and qualitative research. The function of qualitative criticism is centered with Richard Rorty's theoretical…

One-Reason Decision Making Unveiled: A Measurement Model of the Recognition Heuristic

ERIC Educational Resources Information Center

Hilbig, Benjamin E.; Erdfelder, Edgar; Pohl, Rudiger F.

2010-01-01

The fast-and-frugal recognition heuristic (RH) theory provides a precise process description of comparative judgments. It claims that, in suitable domains, judgments between pairs of objects are based on recognition alone, whereas further knowledge is ignored. However, due to the confound between recognition and further knowledge, previous…

Research implications of science-informed, value-based decision making.

PubMed

Dowie, Jack

2004-01-01

In 'Hard' science, scientists correctly operate as the 'guardians of certainty', using hypothesis testing formulations and value judgements about error rates and time discounting that make classical inferential methods appropriate. But these methods can neither generate most of the inputs needed by decision makers in their time frame, nor generate them in a form that allows them to be integrated into the decision in an analytically coherent and transparent way. The need for transparent accountability in public decision making under uncertainty and value conflict means the analytical coherence provided by the stochastic Bayesian decision analytic approach, drawing on the outputs of Bayesian science, is needed. If scientific researchers are to play the role they should be playing in informing value-based decision making, they need to see themselves also as 'guardians of uncertainty', ensuring that the best possible current posterior distributions on relevant parameters are made available for decision making, irrespective of the state of the certainty-seeking research. The paper distinguishes the actors employing different technologies in terms of the focus of the technology (knowledge, values, choice); the 'home base' mode of their activity on the cognitive continuum of varying analysis-to-intuition ratios; and the underlying value judgements of the activity (especially error loss functions and time discount rates). Those who propose any principle of decision making other than the banal 'Best Principle', including the 'Precautionary Principle', are properly interpreted as advocates seeking to have their own value judgements and preferences regarding mode location apply. The task for accountable decision makers, and their supporting technologists, is to determine the best course of action under the universal conditions of uncertainty and value difference/conflict.

Predicting explorative motor learning using decision-making and motor noise.

PubMed

Chen, Xiuli; Mohr, Kieran; Galea, Joseph M

2017-04-01

A fundamental problem faced by humans is learning to select motor actions based on noisy sensory information and incomplete knowledge of the world. Recently, a number of authors have asked whether this type of motor learning problem might be very similar to a range of higher-level decision-making problems. If so, participant behaviour on a high-level decision-making task could be predictive of their performance during a motor learning task. To investigate this question, we studied performance during an explorative motor learning task and a decision-making task which had a similar underlying structure with the exception that it was not subject to motor (execution) noise. We also collected an independent measurement of each participant's level of motor noise. Our analysis showed that explorative motor learning and decision-making could be modelled as the (approximately) optimal solution to a Partially Observable Markov Decision Process bounded by noisy neural information processing. The model was able to predict participant performance in motor learning by using parameters estimated from the decision-making task and the separate motor noise measurement. This suggests that explorative motor learning can be formalised as a sequential decision-making process that is adjusted for motor noise, and raises interesting questions regarding the neural origin of explorative motor learning.

Predicting explorative motor learning using decision-making and motor noise

PubMed Central

Galea, Joseph M.

2017-01-01

A fundamental problem faced by humans is learning to select motor actions based on noisy sensory information and incomplete knowledge of the world. Recently, a number of authors have asked whether this type of motor learning problem might be very similar to a range of higher-level decision-making problems. If so, participant behaviour on a high-level decision-making task could be predictive of their performance during a motor learning task. To investigate this question, we studied performance during an explorative motor learning task and a decision-making task which had a similar underlying structure with the exception that it was not subject to motor (execution) noise. We also collected an independent measurement of each participant’s level of motor noise. Our analysis showed that explorative motor learning and decision-making could be modelled as the (approximately) optimal solution to a Partially Observable Markov Decision Process bounded by noisy neural information processing. The model was able to predict participant performance in motor learning by using parameters estimated from the decision-making task and the separate motor noise measurement. This suggests that explorative motor learning can be formalised as a sequential decision-making process that is adjusted for motor noise, and raises interesting questions regarding the neural origin of explorative motor learning. PMID:28437451

Development the conceptual design of Knowledge Based System for Integrated Maintenance Strategy and Operation

NASA Astrophysics Data System (ADS)

Milana; Khan, M. K.; Munive, J. E.

2014-07-01

The importance of maintenance has escalated significantly by the increasing of automation in manufacturing process. This condition switches traditional maintenance perspective of inevitable cost into the business competitive driver. Consequently, maintenance strategy and operation decision needs to be synchronized to business and manufacturing concerns. This paper shows the development of conceptual design of Knowledge Based System for Integrated Maintenance Strategy and Operation (KBIMSO). The framework of KBIMSO is elaborated to show the process of how the KBIMSO works to reach the maintenance decision. By considering the multi-criteria of maintenance decision making, the KB system embedded with GAP and AHP to support integrated maintenance strategy and operation which is novel in this area. The KBIMSO is useful to review the existing maintenance system and give reasonable recommendation of maintenance decisions in respect to business and manufacturing perspective.

Concept mapping as a method to enhance evidence-based public health.

PubMed

van Bon-Martens, Marja J H; van de Goor, Ien A M; van Oers, Hans A M

2017-02-01

In this paper we explore the suitability of concept mapping as a method for integrating knowledge from science, practice, and policy. In earlier research we described and analysed five cases of concept mapping procedures in the Netherlands, serving different purposes and fields in public health. In the current paper, seven new concept mapping studies of co-produced work are added to extend this analysis. For each of these twelve studies we analysed: (1) how the method was able to integrate knowledge from practice with scientific knowledge by facilitating dialogue and collaboration between different stakeholders in the field of public health, such as academic researchers, practitioners, policy-makers and the public; (2) how the method was able to bring theory development a step further (scientific relevance); and (3) how the method was able to act as a sound basis for practical decision-making (practical relevance). Based on the answers to these research questions, all but one study was considered useful for building more evidence-based public health, even though the extent to which they underpinned actual decision-making varied. The chance of actually being implemented in practice seems strongly related to the extent to which the responsible decision-makers are involved in the way the concept map is prepared and executed. Copyright © 2016 Elsevier Ltd. All rights reserved.

Representing Human Expertise by the OWL Web Ontology Language to Support Knowledge Engineering in Decision Support Systems.

PubMed

Ramzan, Asia; Wang, Hai; Buckingham, Christopher

2014-01-01

Clinical decision support systems (CDSSs) often base their knowledge and advice on human expertise. Knowledge representation needs to be in a format that can be easily understood by human users as well as supporting ongoing knowledge engineering, including evolution and consistency of knowledge. This paper reports on the development of an ontology specification for managing knowledge engineering in a CDSS for assessing and managing risks associated with mental-health problems. The Galatean Risk and Safety Tool, GRiST, represents mental-health expertise in the form of a psychological model of classification. The hierarchical structure was directly represented in the machine using an XML document. Functionality of the model and knowledge management were controlled using attributes in the XML nodes, with an accompanying paper manual for specifying how end-user tools should behave when interfacing with the XML. This paper explains the advantages of using the web-ontology language, OWL, as the specification, details some of the issues and problems encountered in translating the psychological model to OWL, and shows how OWL benefits knowledge engineering. The conclusions are that OWL can have an important role in managing complex knowledge domains for systems based on human expertise without impeding the end-users' understanding of the knowledge base. The generic classification model underpinning GRiST makes it applicable to many decision domains and the accompanying OWL specification facilitates its implementation.

Behavioral Stage of Change and Dialysis Decision-Making

PubMed Central

McGrail, Anna; Lewis, Steven A.; Schold, Jesse; Lawless, Mary Ellen; Sehgal, Ashwini R.; Perzynski, Adam T.

2015-01-01

Background and objectives Behavioral stage of change (SoC) algorithms classify patients’ readiness for medical treatment decision-making. In the precontemplation stage, patients have no intention to take action within 6 months. In the contemplation stage, action is intended within 6 months. In the preparation stage, patients intend to take action within 30 days. In the action stage, the change has been made. This study examines the influence of SoC on dialysis modality decision-making. Design, setting, participants, & measurements SoC and relevant covariates were measured, and associations with dialysis decision-making were determined. In-depth interviews were conducted with 16 patients on dialysis to elicit experiences. Qualitative interview data informed the survey design. Surveys were administered to adults with CKD (eGFR≤25 ml/min/1.73 m2) from August, 2012 to June, 2013. Multivariable logistic regression modeled dialysis decision-making with predictors: SoC, provider connection, and dialysis knowledge score. Results Fifty-five patients completed the survey (71% women, 39% white, and 59% black), and median annual income was $17,500. In total, 65% of patients were in the precontemplation/contemplation (thinking) and 35% of patients were in the preparation/maintenance (acting) SoC; 62% of patients had made dialysis modality decisions. Doctors explaining modality options, higher dialysis knowledge scores, and fewer lifestyle barriers were associated with acting versus thinking SoC (all P<0.02). Patients making modality decisions had doctors who explained dialysis options (76% versus 43%), were in the acting versus the thinking SoC (50% versus 10%), had higher dialysis knowledge scores (1.4 versus 0.5), and had lower eGFR (13.9 versus 16.8 ml/min/1.73 m2; all P<0.05). In adjusted analyses, dialysis knowledge was significantly associated with decision-making (odds ratio, 4.2; 95% confidence interval, 1.4 to 12.9; P=0.01), and SoC was of borderline significance (odds ratio, 5.8; 95% confidence interval, 1.0 to 32.6; P=0.05). The model C statistic was 0.87. Conclusions Dialysis decision-making was associated with SoC, dialysis knowledge, and physicians discussing treatment options. Future studies determining ways to assist patients with CKD in making satisfying modality decisions are warranted. PMID:25591499

Informing Environmental Water Management Decisions: Using Conditional Probability Networks to Address the Information Needs of Planning and Implementation Cycles.

PubMed

Horne, Avril C; Szemis, Joanna M; Webb, J Angus; Kaur, Simranjit; Stewardson, Michael J; Bond, Nick; Nathan, Rory

2018-03-01

One important aspect of adaptive management is the clear and transparent documentation of hypotheses, together with the use of predictive models (complete with any assumptions) to test those hypotheses. Documentation of such models can improve the ability to learn from management decisions and supports dialog between stakeholders. A key challenge is how best to represent the existing scientific knowledge to support decision-making. Such challenges are currently emerging in the field of environmental water management in Australia, where managers are required to prioritize the delivery of environmental water on an annual basis, using a transparent and evidence-based decision framework. We argue that the development of models of ecological responses to environmental water use needs to support both the planning and implementation cycles of adaptive management. Here we demonstrate an approach based on the use of Conditional Probability Networks to translate existing ecological knowledge into quantitative models that include temporal dynamics to support adaptive environmental flow management. It equally extends to other applications where knowledge is incomplete, but decisions must still be made.

Informing Environmental Water Management Decisions: Using Conditional Probability Networks to Address the Information Needs of Planning and Implementation Cycles

NASA Astrophysics Data System (ADS)

Horne, Avril C.; Szemis, Joanna M.; Webb, J. Angus; Kaur, Simranjit; Stewardson, Michael J.; Bond, Nick; Nathan, Rory

2018-03-01

One important aspect of adaptive management is the clear and transparent documentation of hypotheses, together with the use of predictive models (complete with any assumptions) to test those hypotheses. Documentation of such models can improve the ability to learn from management decisions and supports dialog between stakeholders. A key challenge is how best to represent the existing scientific knowledge to support decision-making. Such challenges are currently emerging in the field of environmental water management in Australia, where managers are required to prioritize the delivery of environmental water on an annual basis, using a transparent and evidence-based decision framework. We argue that the development of models of ecological responses to environmental water use needs to support both the planning and implementation cycles of adaptive management. Here we demonstrate an approach based on the use of Conditional Probability Networks to translate existing ecological knowledge into quantitative models that include temporal dynamics to support adaptive environmental flow management. It equally extends to other applications where knowledge is incomplete, but decisions must still be made.

Concept of operations for knowledge discovery from Big Data across enterprise data warehouses

NASA Astrophysics Data System (ADS)

Sukumar, Sreenivas R.; Olama, Mohammed M.; McNair, Allen W.; Nutaro, James J.

2013-05-01

The success of data-driven business in government, science, and private industry is driving the need for seamless integration of intra and inter-enterprise data sources to extract knowledge nuggets in the form of correlations, trends, patterns and behaviors previously not discovered due to physical and logical separation of datasets. Today, as volume, velocity, variety and complexity of enterprise data keeps increasing, the next generation analysts are facing several challenges in the knowledge extraction process. Towards addressing these challenges, data-driven organizations that rely on the success of their analysts have to make investment decisions for sustainable data/information systems and knowledge discovery. Options that organizations are considering are newer storage/analysis architectures, better analysis machines, redesigned analysis algorithms, collaborative knowledge management tools, and query builders amongst many others. In this paper, we present a concept of operations for enabling knowledge discovery that data-driven organizations can leverage towards making their investment decisions. We base our recommendations on the experience gained from integrating multi-agency enterprise data warehouses at the Oak Ridge National Laboratory to design the foundation of future knowledge nurturing data-system architectures.

Decision aids for patients.

PubMed

Lenz, Matthias; Buhse, Susanne; Kasper, Jürgen; Kupfer, Ramona; Richter, Tanja; Mühlhauser, Ingrid

2012-06-01

Patients want to be more involved in medical decision-making. To this end, some decision aids are now available. We present an overview of this subject, in which we explain the terms "shared decision-making", "decision aid", and "evidence-based patient information" and survey information on the available decision aids in German and other languages on the basis of a literature search in MEDLINE, EMBASE and PsycInfo and a current Cochrane Review. We also searched the Internet for providers of decision aids in Germany. Decision aids exist in the form of brochures, decision tables, videos, and computer programs; they address various topics in the prevention, diagnosis, and treatment of disease. They typically contain information on the advantages and disadvantages of the available options, as well as guidance for personal decision-making. They can be used alone or as a part of structured counseling or patient education. Minimal quality standards include an adequate evidence base, completeness, absence of bias, and intelligibility. Our search revealed 12 randomized controlled trials (RCTs) of decision aids in German and 106 RCTs of decision aids in other languages. These trials studied the outcome of the use of decision aids not just with respect to clinical developments, but also with respect to patient knowledge, adherence to treatment regimens, satisfaction, involvement in decision-making, autonomy preference, and decisional conflicts. Only a small fraction of the available decision aids were systematically developed and have been subjected to systematic evaluation. Patients are still not receiving the help in decision-making to which medical ethics entitles them. Structures need to be put in place for the sustainable development, evaluation and implementation of high-quality decision aids.

Sustainability in health care by allocating resources effectively (SHARE) 3: examining how resource allocation decisions are made, implemented and evaluated in a local healthcare setting.

PubMed

Harris, Claire; Allen, Kelly; Waller, Cara; Brooke, Vanessa

2017-05-09

This is the third in a series of papers reporting a program of Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. Leaders in a large Australian health service planned to establish an organisation-wide, systematic, integrated, evidence-based approach to disinvestment. In order to introduce new systems and processes for disinvestment into existing decision-making infrastructure, we aimed to understand where, how and by whom resource allocation decisions were made, implemented and evaluated. We also sought the knowledge and experience of staff regarding previous disinvestment activities. Structured interviews, workshops and document analysis were used to collect information from multiple sources in an environmental scan of decision-making systems and processes. Findings were synthesised using a theoretical framework. Sixty-eight respondents participated in interviews and workshops. Eight components in the process of resource allocation were identified: Governance, Administration, Stakeholder engagement, Resources, Decision-making, Implementation, Evaluation and, where appropriate, Reinvestment of savings. Elements of structure and practice for each component are described and a new framework was developed to capture the relationships between them. A range of decision-makers, decision-making settings, type and scope of decisions, criteria used, and strengths, weaknesses, barriers and enablers are outlined. The term 'disinvestment' was not used in health service decision-making. Previous projects that involved removal, reduction or restriction of current practices were driven by quality and safety issues, evidence-based practice or a need to find resource savings and not by initiatives where the primary aim was to disinvest. Measuring resource savings is difficult, in some situations impossible. Savings are often only theoretical as resources released may be utilised immediately by patients waiting for beds, clinic appointments or surgery. Decision-making systems and processes for resource allocation are more complex than assumed in previous studies. There is a wide range of decision-makers, settings, scope and type of decisions, and criteria used for allocating resources within a single institution. To our knowledge, this is the first paper to report this level of detail and to introduce eight components of the resource allocation process identified within a local health service.

Knowledge Co-production Strategies for Water Resources Modeling and Decision Making

NASA Astrophysics Data System (ADS)

Gober, P.

2016-12-01

The limited impact of scientific information on policy making and climate adaptation in North America has raised awareness of the need for new modeling strategies and knowledge transfer processes. This paper outlines the rationale for a new paradigm in water resources modeling and management, using examples from the USA and Canada. Principles include anticipatory modeling, complex system dynamics, decision making under uncertainty, visualization, capacity to represent and manipulate critical trade-offs, stakeholder engagement, local knowledge, context-specific activities, social learning, vulnerability analysis, iterative and collaborative modeling, and the concept of a boundary organization. In this framework, scientists and stakeholders are partners in the production and dissemination of knowledge for decision making, and local knowledge is fused with scientific observation and methodology. Discussion draws from experience in building long-term collaborative boundary organizations in Phoenix, Arizona in the USA and the Saskatchewan River Basin (SRB) in Canada. Examples of boundary spanning activities include the use of visualization, the concept of a decision theater, infrastructure to support social learning, social networks, and reciprocity, simulation modeling to explore "what if" scenarios of the future, surveys to elicit how water problems are framed by scientists and stakeholders, and humanistic activities (theatrical performances, art exhibitions, etc.) to draw attention to local water issues. The social processes surrounding model development and dissemination are at least as important as modeling assumptions, procedures, and results in determining whether scientific knowledge will be used effectively for water resources decision making.

Diagnostic games: from adequate formalization of clinical experience to structure discovery.

PubMed

Shifrin, Michael A; Kasparova, Eva I

2008-01-01

A method of obtaining well-founded and reproducible results in clinical decision making is presented. It is based on "diagnostic games", a procedure of elicitation and formalization of experts' knowledge and experience. The use of this procedure allows formulating decision rules in the terms of an adequate language, that are both unambiguous and clinically clear.

Business Intelligence: Turning Knowledge into Power

ERIC Educational Resources Information Center

Endsley, Krista

2009-01-01

Today, many school districts are turning to business intelligence tools to retrieve, organize, and share knowledge for faster analysis and more effective, guided decision making. Business intelligence (BI) tools are the technologies and applications that gather and report information to help an organization's leaders make better decisions. BI…

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

Implementation of evidence-based weekend service recommendations for allied health managers: a cluster randomised controlled trial protocol.

PubMed

Sarkies, Mitchell N; White, Jennifer; Morris, Meg E; Taylor, Nicholas F; Williams, Cylie; O'Brien, Lisa; Martin, Jenny; Bardoel, Anne; Holland, Anne E; Carey, Leeanne; Skinner, Elizabeth H; Bowles, Kelly-Ann; Grant, Kellie; Philip, Kathleen; Haines, Terry P

2018-04-24

It is widely acknowledged that health policy and practice do not always reflect current research evidence. Whether knowledge transfer from research to practice is more successful when specific implementation approaches are used remains unclear. A model to assist engagement of allied health managers and clinicians with research implementation could involve disseminating evidence-based policy recommendations, along with the use of knowledge brokers. We developed such a model to aid decision-making for the provision of weekend allied health services. This protocol outlines the design and methods for a multi-centre cluster randomised controlled trial to evaluate the success of research implementation strategies to promote evidence-informed weekend allied health resource allocation decisions, especially in hospital managers. This multi-centre study will be a three-group parallel cluster randomised controlled trial. Allied health managers from Australian and New Zealand hospitals will be randomised to receive either (1) an evidence-based policy recommendation document to guide weekend allied health resource allocation decisions, (2) the same policy recommendation document with support from a knowledge broker to help implement weekend allied health policy recommendations, or (3) a usual practice control group. The primary outcome will be alignment of weekend allied health service provision with policy recommendations. This will be measured by the number of allied health service events (occasions of service) occurring on weekends as a proportion of total allied health service events for the relevant hospital wards at baseline and 12-month follow-up. Evidence-based policy recommendation documents communicate key research findings in an accessible format. This comparatively low-cost research implementation strategy could be combined with using a knowledge broker to work collaboratively with decision-makers to promote knowledge transfer. The results will assist managers to make decisions on resource allocation, based on evidence. More generally, the findings will inform the development of an allied health model for translating research into practice. This trial is registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) ( ACTRN12618000029291 ). Universal Trial Number (UTN): U1111-1205-2621.

American College of Emergency Physicians Ethics Manual.

PubMed

1991-10-01

Ethical concerns are a major part of the clinical practice of emergency medicine. The emergency physician must make hard choices, not only with regard to the scientific/technical aspects but also with regard to the moral aspects of caring for emergency patients. By the nature of the specialty, emergency physicians face ethical dilemmas often requiring prompt decisions with limited information. This manual identifies important moral principles and values in emergency medicine. The underlying assumption is that a knowledge of moral principles and ethical values helps the emergency physician make responsible moral choices. Neither the scientific nor the moral aspects of clinical decision making can be reduced to simple formulas. Nevertheless, decisions must be made. Emergency physicians should, therefore, be cognizant of the ethical principles that are important for emergency medicine, understand the process of ethical reasoning, and be capable of making rational moral decisions based on a stable framework of values.

Informed Decision-Making in the Context of Prenatal Chromosomal Microarray.

PubMed

Baker, Jessica; Shuman, Cheryl; Chitayat, David; Wasim, Syed; Okun, Nan; Keunen, Johannes; Hofstedter, Renee; Silver, Rachel

2018-03-07

The introduction of chromosomal microarray (CMA) into the prenatal setting has involved considerable deliberation due to the wide range of possible outcomes (e.g., copy number variants of uncertain clinical significance). Such issues are typically discussed in pre-test counseling for pregnant women to support informed decision-making regarding prenatal testing options. This research study aimed to assess the level of informed decision-making with respect to prenatal CMA and the factor(s) influencing decision-making to accept CMA for the selected prenatal testing procedure (i.e., chorionic villus sampling or amniocentesis). We employed a questionnaire that was adapted from a three-dimensional measure previously used to assess informed decision-making with respect to prenatal screening for Down syndrome and neural tube defects. This measure classifies an informed decision as one that is knowledgeable, value-consistent, and deliberated. Our questionnaire also included an optional open-ended question, soliciting factors that may have influenced the participants' decision to accept prenatal CMA; these responses were analyzed qualitatively. Data analysis on 106 participants indicated that 49% made an informed decision (i.e., meeting all three criteria of knowledgeable, deliberated, and value-consistent). Analysis of 59 responses to the open-ended question showed that "the more information the better" emerged as the dominant factor influencing both informed and uninformed participants' decisions to accept prenatal CMA. Despite learning about the key issues in pre-test genetic counseling, our study classified a significant portion of women as making uninformed decisions due to insufficient knowledge, lack of deliberation, value-inconsistency, or a combination of these three measures. Future efforts should focus on developing educational approaches and counseling strategies to effectively increase the rate of informed decision-making among women offered prenatal CMA.

Shared decision making: empowering the bedside nurse.

PubMed

Slack, Stephanie M; Boguslawski, Jean M; Eickhoff, Rachel M; Klein, Kristi A; Pepin, Teresa M; Schrandt, Kevin; Wise, Carrie A; Zylstra, Jody A

2005-12-01

Shared decision making is a process that has empowered specialty nurses at the Mayo Clinic in Rochester, MN, to solve a practice concern. Staff nurses recognized a lack of concise, collated information available that described what nurses need to know when caring for patients receiving chemotherapy. Many aspects of the administration process were knowledge and experience based and not easily retrievable. The Hematology/Oncology/Blood and Marrow Transplant Clinical Practice Committee identified this as a significant practice issue. Ideas were brainstormed regarding how to make the information available to nursing colleagues. The Chemotherapy Yellow Pages is a resource that was developed to facilitate the rapid retrieval of pertinent information for bedside nurses. The content of this article outlines a'model of shared decision making and the processes used to address and resolve the practice concern.

Optimal policy for value-based decision-making.

PubMed

Tajima, Satohiro; Drugowitsch, Jan; Pouget, Alexandre

2016-08-18

For decades now, normative theories of perceptual decisions, and their implementation as drift diffusion models, have driven and significantly improved our understanding of human and animal behaviour and the underlying neural processes. While similar processes seem to govern value-based decisions, we still lack the theoretical understanding of why this ought to be the case. Here, we show that, similar to perceptual decisions, drift diffusion models implement the optimal strategy for value-based decisions. Such optimal decisions require the models' decision boundaries to collapse over time, and to depend on the a priori knowledge about reward contingencies. Diffusion models only implement the optimal strategy under specific task assumptions, and cease to be optimal once we start relaxing these assumptions, by, for example, using non-linear utility functions. Our findings thus provide the much-needed theory for value-based decisions, explain the apparent similarity to perceptual decisions, and predict conditions under which this similarity should break down.

Optimal policy for value-based decision-making

PubMed Central

Tajima, Satohiro; Drugowitsch, Jan; Pouget, Alexandre

2016-01-01

For decades now, normative theories of perceptual decisions, and their implementation as drift diffusion models, have driven and significantly improved our understanding of human and animal behaviour and the underlying neural processes. While similar processes seem to govern value-based decisions, we still lack the theoretical understanding of why this ought to be the case. Here, we show that, similar to perceptual decisions, drift diffusion models implement the optimal strategy for value-based decisions. Such optimal decisions require the models' decision boundaries to collapse over time, and to depend on the a priori knowledge about reward contingencies. Diffusion models only implement the optimal strategy under specific task assumptions, and cease to be optimal once we start relaxing these assumptions, by, for example, using non-linear utility functions. Our findings thus provide the much-needed theory for value-based decisions, explain the apparent similarity to perceptual decisions, and predict conditions under which this similarity should break down. PMID:27535638

Towards sustainable infrastructure management: knowledge-based service-oriented computing framework for visual analytics

NASA Astrophysics Data System (ADS)

Vatcha, Rashna; Lee, Seok-Won; Murty, Ajeet; Tolone, William; Wang, Xiaoyu; Dou, Wenwen; Chang, Remco; Ribarsky, William; Liu, Wanqiu; Chen, Shen-en; Hauser, Edd

2009-05-01

Infrastructure management (and its associated processes) is complex to understand, perform and thus, hard to make efficient and effective informed decisions. The management involves a multi-faceted operation that requires the most robust data fusion, visualization and decision making. In order to protect and build sustainable critical assets, we present our on-going multi-disciplinary large-scale project that establishes the Integrated Remote Sensing and Visualization (IRSV) system with a focus on supporting bridge structure inspection and management. This project involves specific expertise from civil engineers, computer scientists, geographers, and real-world practitioners from industry, local and federal government agencies. IRSV is being designed to accommodate the essential needs from the following aspects: 1) Better understanding and enforcement of complex inspection process that can bridge the gap between evidence gathering and decision making through the implementation of ontological knowledge engineering system; 2) Aggregation, representation and fusion of complex multi-layered heterogeneous data (i.e. infrared imaging, aerial photos and ground-mounted LIDAR etc.) with domain application knowledge to support machine understandable recommendation system; 3) Robust visualization techniques with large-scale analytical and interactive visualizations that support users' decision making; and 4) Integration of these needs through the flexible Service-oriented Architecture (SOA) framework to compose and provide services on-demand. IRSV is expected to serve as a management and data visualization tool for construction deliverable assurance and infrastructure monitoring both periodically (annually, monthly, even daily if needed) as well as after extreme events.

Prostate cancer screening and shared decision-making preferences among African-American members of the Prince Hall Masons.

PubMed

Williams, Randi M; Zincke, Nicole L; Turner, Ralph O; Davis, Jackson L; Davis, Kimberly M; Schwartz, Marc D; Johnson, Lenora; Kerner, Jon F; Taylor, Kathryn L

2008-10-01

Shared decision making (SDM) is recommended as one method to assist men in making an informed decision about prostate cancer screening (PCS). SDM preferences for PCS have not been evaluated among African-American (AA) men. Given AA men's increased risk and the uncertainty surrounding screening, it is critical to determine how to assist AA men in making an informed decision. We assessed the extent to which a sample of AA men wished to engage in SDM regarding PCS and the demographic and psychological characteristics associated with SDM preferences. Participants completed a telephone interview that covered demographic and medical information, SDM preferences, PCS knowledge, decisional conflict, and satisfaction with previous screening decisions. Subjects included 286 AA men aged 40-70, who were members of a Masonic organization. Fifty-seven percent preferred SDM, 36% preferred to make their own decision, and 7% wanted their doctor to decide. A higher level of education and older age were associated with preferring SDM (p<0.05), while men with greater PCS knowledge were more likely to prefer to make the decision independently (p<0.05). Results suggest that physicians need to be prepared to discuss PCS with their patients. Further, more attention may be needed to engage younger, less educated, and less knowledgeable men as they may be less likely to discuss PCS. This understanding of AA men's preferences for PCS decisions helps to clarify the issues that health professionals need to consider when attempting to assist AA men in making a PCS decision. Copyright (c) 2008 John Wiley & Sons, Ltd.

Making Sense of the ECG - Cases for Self-Assessment Houghton Andrew R Gray David Making Sense of the ECG - Cases for Self-Assessment 290pp Hodder Education 9780340946893 034094689X [Formula: see text].

PubMed

2010-10-27

This practical, pocket-book approach to ECG interpretation accompanies the well-known text Making Sense of the ECG, by the same authors. It is also designed to be used alone to test knowledge of ECG interpretation and to make clinical decisions based on presented scenarios.

Making sense of the ECG: cases for self-assessment Making Sense of the ECG: Cases for Self-Assessment Houghton Andrew and Gray David Hodder Education £18.99 290pp 9780340946893 034094689X [Formula: see text].

PubMed

2011-02-10

This practical pocket-book approach to electrocardiogram (ECG) interpretation accompanies Making sense of the eCg by the same authors. it is also designed to be used alone to test knowledge of ECG interpretation and to make clinical decisions based on presented scenarios.

Applying voting theory in natural resource management: a case of multiple-criteria group decision support.

PubMed

Laukkanen, Sanna; Kangas, Annika; Kangas, Jyrki

2002-02-01

Voting theory has a lot in common with utility theory, and especially with group decision-making. An expected-utility-maximising strategy exists in voting situations, as well as in decision-making situations. Therefore, it is natural to utilise the achievements of voting theory also in group decision-making. Most voting systems are based on a single criterion or holistic preference information on decision alternatives. However, a voting scheme called multicriteria approval is specially developed for decision-making situations with multiple criteria. This study considers the voting theory from the group decision support point of view and compares it with some other methods applied to similar purposes in natural resource management. A case study is presented, where the approval voting approach is introduced to natural resources planning and tested in a forestry group decision-making process. Applying multicriteria approval method was found to be a potential approach for handling some challenges typical for forestry group decision support. These challenges include (i) utilising ordinal information in the evaluation of decision alternatives, (ii) being readily understandable for and treating equally all the stakeholders in possession of different levels of knowledge on the subject considered, (iii) fast and cheap acquisition of preference information from several stakeholders, and (iv) dealing with multiple criteria.

Evaluation of a decision support system for pressure ulcer prevention and management: preliminary findings.

PubMed

Zielstorff, R D; Estey, G; Vickery, A; Hamilton, G; Fitzmaurice, J B; Barnett, G O

1997-01-01

A decision support system for prevention and management of pressure ulcers was developed based on AHCPR guidelines and other sources. The system was implemented for 21 weeks on a 20-bed clinical care unit. Fifteen nurses on that unit volunteered as subjects of the intervention to see whether use of the system would have a positive effect on their knowledge about pressure ulcers and on their decision-making skills related to this topic. A similar care unit was used as a control. In addition, the system was evaluated by experts for its instructional adequacy, and by end users for their satisfaction with the system. Preliminary results show no effect on knowledge about pressure ulcers and no effect on clinical decision making skills. The system was rated positively for instructional adequacy, and positively for user satisfaction. User interviews related to satisfaction supplemented the quantitative findings. A discussion of the issues of conducting experiments like this in today's clinical environment is included.

Modeling Common-Sense Decisions in Artificial Intelligence

NASA Technical Reports Server (NTRS)

Zak, Michail

2010-01-01

A methodology has been conceived for efficient synthesis of dynamical models that simulate common-sense decision- making processes. This methodology is intended to contribute to the design of artificial-intelligence systems that could imitate human common-sense decision making or assist humans in making correct decisions in unanticipated circumstances. This methodology is a product of continuing research on mathematical models of the behaviors of single- and multi-agent systems known in biology, economics, and sociology, ranging from a single-cell organism at one extreme to the whole of human society at the other extreme. Earlier results of this research were reported in several prior NASA Tech Briefs articles, the three most recent and relevant being Characteristics of Dynamics of Intelligent Systems (NPO -21037), NASA Tech Briefs, Vol. 26, No. 12 (December 2002), page 48; Self-Supervised Dynamical Systems (NPO-30634), NASA Tech Briefs, Vol. 27, No. 3 (March 2003), page 72; and Complexity for Survival of Living Systems (NPO- 43302), NASA Tech Briefs, Vol. 33, No. 7 (July 2009), page 62. The methodology involves the concepts reported previously, albeit viewed from a different perspective. One of the main underlying ideas is to extend the application of physical first principles to the behaviors of living systems. Models of motor dynamics are used to simulate the observable behaviors of systems or objects of interest, and models of mental dynamics are used to represent the evolution of the corresponding knowledge bases. For a given system, the knowledge base is modeled in the form of probability distributions and the mental dynamics is represented by models of the evolution of the probability densities or, equivalently, models of flows of information. Autonomy is imparted to the decisionmaking process by feedback from mental to motor dynamics. This feedback replaces unavailable external information by information stored in the internal knowledge base. Representation of the dynamical models in a parameterized form reduces the task of common-sense-based decision making to a solution of the following hetero-associated-memory problem: store a set of m predetermined stochastic processes given by their probability distributions in such a way that when presented with an unexpected change in the form of an input out of the set of M inputs, the coupled motormental dynamics converges to the corresponding one of the m pre-assigned stochastic process, and a sample of this process represents the decision.

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

Effects of relationship motivation, partner familiarity, and alcohol on women's risky sexual decision making.

PubMed

Zawacki, Tina; Norris, Jeanette; Hessler, Danielle M; Morrison, Diane M; Stoner, Susan A; George, William H; Davis, Kelly Cue; Abdallah, Devon A

2009-06-01

This experiment examined the effects of women's relationship motivation, partner familiarity, and alcohol consumption on sexual decision making. Women completed an individual difference measure of relationship motivation and then were randomly assigned to partner familiarity condition (low, high) and to alcohol consumption condition (high dose, low dose, no alcohol, placebo). Then women read and projected themselves into a scenario of a sexual encounter. Relationship motivation and partner familiarity interacted with intoxication to influence primary appraisals of relationship potential. Participants' primary and secondary relationship appraisals mediated the effects of women's relationship motivation, partner familiarity, and intoxication on condom negotiation, sexual decision abdication, and unprotected sex intentions. These findings support a cognitive mediation model of women's sexual decision making and identify how individual and situational factors interact to shape alcohol's influences on cognitive appraisals that lead to risky sexual decisions. This knowledge can inform empirically based risky sex interventions.

Knowledge Engineering as a Component of the Curriculum for Medical Cybernetists.

PubMed

Karas, Sergey; Konev, Arthur

2017-01-01

According to a new state educational standard, students who have chosen medical cybernetics as their major must develop a knowledge engineering competency. Previously, in the course "Clinical cybernetics" while practicing project-based learning students were designing automated workstations for medical personnel using client-server technology. The purpose of the article is to give insight into the project of a new educational module "Knowledge engineering". Students will acquire expert knowledge by holding interviews and conducting surveys, and then they will formalize it. After that, students will form declarative expert knowledge in a network model and analyze the knowledge graph. Expert decision making methods will be applied in software on the basis of a production model of knowledge. Project implementation will result not only in the development of analytical competencies among students, but also creation of a practically useful expert system based on student models to support medical decisions. Nowadays, this module is being tested in the educational process.

Decision Making: Rational, Nonrational, and Irrational.

ERIC Educational Resources Information Center

Simon, Herbert A.

1993-01-01

Describes the current state of knowledge about human decision-making and problem-solving processes, explaining recent developments and their implications for management and management training. Rational goal-setting is the key to effective decision making and accomplishment. Bounded rationality is a realistic orientation, because the world is too…

Neuroscientific evidence for contextual effects in decision making.

PubMed

Hytönen, Kaisa

2014-02-01

Both internal and external states can cause inconsistencies in decision behavior. I present examples from behavioral decision-making literature and review neuroscientific knowledge on two contextual influences: framing effects and social conformity. The brain mechanisms underlying these behavioral adjustments comply with the dual-process account and simple learning mechanisms, and are weak indicators for unintentionality in decision-making processes.

Shared decision making or paternalism in nursing consultations? A qualitative study of primary care asthma nurses’ views on sharing decisions with patients regarding inhaler device selection

PubMed Central

Upton, Jane; Fletcher, Monica; Madoc‐Sutton, Hazel; Sheikh, Aziz; Caress, Ann‐Louise; Walker, Samantha

2011-01-01

Abstract Background  Although patients with asthma would like more involvement in the decision‐making process, and UK government policy concerning chronic conditions supports shared decision making, it is not widely used in practice. Objective  To investigate how nurses approach decision making in relation to inhaler choice and long‐term inhaler use within a routine asthma consultation and to better understand the barriers and facilitators to shared decision making in practice. Setting and participants  Semi‐structured interviews were conducted with post‐registration, qualified nurses who routinely undertook asthma consultations and were registered on a respiratory course. Interviews were recorded, transcribed and analysed using the Framework approach. Results  Twenty participants were interviewed. Despite holding positive views about shared decision making, limited shared decision making was reported. Opportunities for patients to share decisions were only offered in relation to inhaler device, which were based on the nurse’s pre‐selected recommendations. Giving patients this ‘choice’ was seen as key to improving adherence. Discussion  There is a discrepancy between nurses’ understanding of shared decision making and the depictions of shared decision making presented in the academic literature and NHS policy. In this study, shared decision making was used as a tool to support the nurses’ agenda, rather than as a natural expression of equality between the nurse and patient. Conclusion  There is a misalignment between the goals of practice nurses and the rhetoric regarding patient empowerment. Shared decision making may therefore only be embraced if it improves patient outcomes. This study indicates attitudinal shifts and improvements in knowledge of ‘shared decision‐making’ are needed if policy dictates are to be realised. PMID:21323822

Treatment selection of early stage non-small cell lung cancer: the role of the patient in clinical decision making.

PubMed

Mokhles, S; Nuyttens, J J M E; de Mol, M; Aerts, J G J V; Maat, A P W M; Birim, Ö; Bogers, A J J C; Takkenberg, J J M

2018-01-15

The objective of this study is to investigate the role and experience of early stage non-small cell lung cancer (NSCLC) patient in decision making process concerning treatment selection in the current clinical practice. Stage I-II NSCLC patients (surgery 55 patients, SBRT 29 patients, median age 68) were included in this prospective study and completed a questionnaire that explored: (1) perceived patient knowledge of the advantages and disadvantages of the treatment options, (2) experience with current clinical decision making, and (3) the information that the patient reported to have received from their treating physician. This was assessed by multiple-choice, 1-5 Likert Scale, and open questions. The Decisional Conflict Scale was used to assess the decisional conflict. Health related quality of life (HRQoL) was measured with SF-36 questionnaire. In 19% of patients, there was self-reported perceived lack of knowledge about the advantages and disadvantages of the treatment options. Seventy-four percent of patients felt that they were sufficiently involved in decision-making by their physician, and 81% found it important to be involved in decision making. Forty percent experienced decisional conflict, and one-in-five patients to such an extent that it made them feel unsure about the decision. Subscores with regard to feeling uninformed and on uncertainty, contributed the most to decisional conflict, as 36% felt uninformed and 17% of patients were not satisfied with their decision. HRQoL was not influenced by patient experience with decision-making or patient preferences for shared decision making. Dutch early-stage NSCLC patients find it important to be involved in treatment decision making. Yet a substantial proportion experiences decisional conflict and feels uninformed. Better patient information and/or involvement in treatment-decision-making is needed in order to improve patient knowledge and hopefully reduce decisional conflict.

Enhancing Learning Environments through Solution-based Knowledge Discovery Tools: Forecasting for Self-Perpetuating Systemic Reform.

ERIC Educational Resources Information Center

Tsantis, Linda; Castellani, John

2001-01-01

This article explores how knowledge-discovery applications can empower educators with the information they need to provide anticipatory guidance for teaching and learning, forecast school and district needs, and find critical markers for making the best program decisions for children and youth with disabilities. Data mining for schools is…

Data Literacy of Reading Educators: Teacher Perception and Knowledge of the Use of Reading Data to Influence Instruction

ERIC Educational Resources Information Center

Beachy, Rachel Rayburn

2017-01-01

This dissertation is developed around two studies created with the goal of describing and quantifying current educators' knowledge and perceptions of reading assessment and subsequent data-based instructional decision making. Unique to the field, a critical component of this study is an emphasis on educators' development of "data…

Improving healthcare consumer effectiveness: an Animated, Self-serve, Web-based Research Tool (ANSWER) for people with early rheumatoid arthritis.

PubMed

Li, Linda C; Adam, Paul; Townsend, Anne F; Stacey, Dawn; Lacaille, Diane; Cox, Susan; McGowan, Jessie; Tugwell, Peter; Sinclair, Gerri; Ho, Kendall; Backman, Catherine L

2009-08-20

People with rheumatoid arthritis (RA) should use DMARDs (disease-modifying anti-rheumatic drugs) within the first three months of symptoms in order to prevent irreversible joint damage. However, recent studies report the delay in DMARD use ranges from 6.5 months to 11.5 months in Canada. While most health service delivery interventions are designed to improve the family physician's ability to refer to a rheumatologist and prescribe treatments, relatively little has been done to improve the delivery of credible, relevant, and user-friendly information for individuals to make treatment decisions. To address this care gap, the Animated, Self-serve, Web-based Research Tool (ANSWER) will be developed and evaluated to assist people in making decisions about the use of methotrexate, a type of DMARD. The objectives of this project are: 1) to develop ANSWER for people with early RA; and 2) to assess the extent to which ANSWER reduces people's decisional conflict about the use of methotrexate, improves their knowledge about RA, and improves their skills of being 'effective healthcare consumers'. Consistent with the International Patient Decision Aid Standards, the development process of ANSWER will involve: 1.) creating a storyline and scripts based on the best evidence on the use of methotrexate and other management options in RA, and the contextual factors that affect a patient's decision to use a treatment as found in ERAHSE; 2.) using an interactive design methodology to create, test, analyze and refine the ANSWER prototype; 3.) testing the content and user interface with health professionals and patients; and 4.) conducting a pilot study with 51 patients, who are diagnosed with RA in the past 12 months, to assess the extent to which ANSWER improves the quality of their decisions, knowledge and skills in being effective consumers. We envision that the ANSWER will help accelerate the dissemination of knowledge and skills necessary for people with early RA to make informed choices about treatment and to manage their health. The latest in animation and online technology will ensure ANSWER fills a knowledge translation gap, focusing on the next generation of people living with RA.

How are evidence and knowledge used in orthopaedic decision-making? Three comparative case studies of different approaches to implementation of clinical guidance in practice.

PubMed

Grove, Amy; Clarke, Aileen; Currie, Graeme

2018-05-31

The uptake and use of clinical guidelines is often insufficient to change clinical behaviour and reduce variation in practice. As a consequence of diverse organisational contexts, the simple provision of guidelines cannot ensure fidelity or guarantee their use when making decisions. Implementation research in surgery has focused on understanding what evidence exists for clinical practice decisions but limits understanding to the technical, educational and accessibility issues. This research aims to identify where, when and how evidence and knowledge are used in orthopaedic decision-making and how variation in these factors contributes to different approaches to implementation of clinical guidance in practice. We used in-depth case studies to examine guideline implementation in real-life surgical practice. We conducted comparative case studies in three English National Health Service hospitals over a 12-month period. Each in-depth case study consisted of a mix of qualitative methods including interviews, observations and document analysis. Data included field notes from observations of day-to-day practice, 64 interviews with NHS surgeons and staff and the collection of 121 supplementary documents. Case studies identified 17 sources of knowledge and evidence which influenced clinical decisions in elective orthopaedic surgery. A comparative analysis across cases revealed that each hospital had distinct approaches to decision-making. Decision-making is described as occurring as a result of how 17 types of knowledge and evidence were privileged and of how they interacted and changed in context. Guideline implementation was contingent and mediated through four distinct contextual levels. Implementation could be assessed for individual surgeons, groups of surgeons or the organisation as a whole, but it could also differ between these levels. Differences in how evidence and knowledge were used contributed to variations in practice from guidelines. A range of complex and competing sources of evidence and knowledge exists which influence the working practices of healthcare professionals. The dynamic selection, combination and use of each type of knowledge and evidence influence the implementation and use of clinical guidance in practice. Clinical guidelines are a fundamental part of practice, but represent only one type of evidence influencing clinical decisions. In the orthopaedic speciality, other distinct sources of evidence and knowledge are selected and used which impact on how guidelines are implemented. New approaches to guideline implementation need to appreciate and incorporate this diverse range of knowledge and evidence which influences clinical decisions and to take account of the changing contexts in which decisions are made.

Untangling the psychosocial predictors of HPV vaccination decision-making among parents of boys.

PubMed

Perez, Samara; Tatar, Ovidiu; Gilca, Vladimir; Shapiro, Gilla K; Ogilvie, Gina; Guichon, Juliet; Naz, Anila; Rosberger, Zeev

2017-08-24

HPV vaccination uptake in boys is suboptimal in many jurisdictions, particularly in the absence of publicly funded HPV vaccination programs. Parents represent key decision-makers of HPV vaccination and their HPV vaccine decision-making stage is influenced by multiple psychosocial determinants. Our objective was to assess the relationship between a broad range of psychosocial factors and parents of boys' HPV vaccine decision-making stage. Data were collected through an online survey from a nationally representative sample of Canadian parents of boys in February (T1) and November 2014 (T2). We assessed a broad number of psychosocial factors including: socio-demographics, health behaviours and validated scales for assessing HPV knowledge, attitudes and beliefs. Parents selected their HPV vaccination adoption stage based on the Precaution Adoption Process Model (PAPM). Multinomial logistic regression was used to test the association between predictors and PAPM stage at T1 and T2. Discussion with a healthcare provider about the HPV vaccine and increased HPV knowledge was associated with increased odds of being in the more advanced PAPM stages. Increased perception of risks in the absence of HPV vaccination, increased perception that others endorse HPV vaccination and positive attitudes related to vaccines in general were associated with increased odds of being in the decided to vaccinate stage. Believing that HPV vaccination is harmful increased, and perceiving the benefits of HPV vaccination decreased the odds of deciding not to vaccinate. This study highlights the psychosocial predictors of the decision-making stage reported by parents regarding HPV vaccination of their sons, that were significant at two time-points. Targeted interventions that consider the impact of the health care provider and address knowledge gaps as well as individual beliefs about benefits, risks, and harms of the HPV vaccine and vaccines in general should be implemented to help parents make better informed decisions that is, to move closer to actual vaccination adoption. Copyright © 2017 Elsevier Ltd. All rights reserved.

Everyday ethics and help-seeking in early rheumatoid arthritis

PubMed Central

Townsend, A.; Adam, P.; Cox, S.M.; Li, L.C.

2018-01-01

Background Sociological understandings of chronic illness have revealed tensions and complexities around help-seeking. Although ethics underpins healthcare, its application in the area of chronic illness is limited. Here we apply an ethical framework to interview accounts and identify ethical challenges in the early rheumatoid arthritis (RA) experience. Methods In-depth interviews were conducted with eight participants who had been diagnosed with RA in the 12 months prior to recruitment. Applying the concepts of autonomous decision-making and procedural justice highlighted ethical concerns which arose throughout the help-seeking process. Analysis was based on the constant-comparison approach. Results Individuals described decision-making, illness actions and the medical encounter. The process was complicated by inadequate knowledge about symptoms, common-sense understandings about the GP appointment, difficulties concerning access to specialists, and patient–practitioner interactions. Autonomous decision-making and procedural justice were compromised. The accounts revealed contradictions between the policy ideals of active self-management, patient-centred care and shared decision-making, and the everyday experiences of individuals. Conclusions For ethical healthcare there is a need for: public knowledge about early RA symptoms; more effective patient–practitioner communication; and increased support during the wait between primary and secondary care. Healthcare facilities and the government may consider different models to deliver services to people requiring rheumatology consults. PMID:20610465

Counseling Model Application: A Student Career Development Guidance for Decision Maker and Consultation

NASA Astrophysics Data System (ADS)

Irwan; Gustientiedina; Sunarti; Desnelita, Yenny

2017-12-01

The purpose of this study is to design a counseling model application for a decision-maker and consultation system. This application as an alternative guidance and individual career development for students, that include career knowledge, planning and alternative options from an expert tool based on knowledge and rule to provide the solutions on student’s career decisions. This research produces a counseling model application to obtain the important information about student career development and facilitating individual student’s development through the service form, to connect their plan with their career according to their talent, interest, ability, knowledge, personality and other supporting factors. This application model can be used as tool to get information faster and flexible for the student’s guidance and counseling. So, it can help students in doing selection and making decision that appropriate with their choice of works.

Toward detecting deception in intelligent systems

NASA Astrophysics Data System (ADS)

Santos, Eugene, Jr.; Johnson, Gregory, Jr.

2004-08-01

Contemporary decision makers often must choose a course of action using knowledge from several sources. Knowledge may be provided from many diverse sources including electronic sources such as knowledge-based diagnostic or decision support systems or through data mining techniques. As the decision maker becomes more dependent on these electronic information sources, detecting deceptive information from these sources becomes vital to making a correct, or at least more informed, decision. This applies to unintentional disinformation as well as intentional misinformation. Our ongoing research focuses on employing models of deception and deception detection from the fields of psychology and cognitive science to these systems as well as implementing deception detection algorithms for probabilistic intelligent systems. The deception detection algorithms are used to detect, classify and correct attempts at deception. Algorithms for detecting unexpected information rely upon a prediction algorithm from the collaborative filtering domain to predict agent responses in a multi-agent system.

From research to evidence-informed decision making: a systematic approach

PubMed Central

Poot, Charlotte C; van der Kleij, Rianne M; Brakema, Evelyn A; Vermond, Debbie; Williams, Siân; Cragg, Liza; van den Broek, Jos M; Chavannes, Niels H

2018-01-01

Abstract Background Knowledge creation forms an integral part of the knowledge-to-action framework aimed at bridging the gap between research and evidence-informed decision making. Although principles of science communication, data visualisation and user-centred design largely impact the effectiveness of communication, their role in knowledge creation is still limited. Hence, this article aims to provide researchers a systematic approach on how knowledge creation can be put into practice. Methods A systematic two-phased approach towards knowledge creation was formulated and executed. First, during a preparation phase the purpose and audience of the knowledge were defined. Subsequently, a developmental phase facilitated how the content is ‘said’ (language) and communicated (channel). This developmental phase proceeded via two pathways: a translational cycle and design cycle, during which core translational and design components were incorporated. The entire approach was demonstrated by a case study. Results The case study demonstrated how the phases in this systematic approach can be operationalised. It furthermore illustrated how created knowledge can be delivered. Conclusion The proposed approach offers researchers a systematic, practical and easy-to-implement tool to facilitate effective knowledge creation towards decision-makers in healthcare. Through the integration of core components of knowledge creation evidence-informed decision making will ultimately be optimized. PMID:29538728

Situationally-Sensitive Knowledge Translation and Relational Decision Making in Hyperacute Stroke: A Qualitative Study

PubMed Central

Murtagh, Madeleine J.; Burges Watson, Duika L.; Jenkings, K. Neil; Lie, Mabel L. S.; Mackintosh, Joan E.; Ford, Gary A.; Thomson, Richard G.

2012-01-01

Stroke is a leading cause of disability. Early treatment of acute ischaemic stroke with rtPA reduces the risk of longer term dependency but carries an increased risk of causing immediate bleeding complications. To understand the challenges of knowledge translation and decision making about treatment with rtPA in hyperacute stroke and hence to inform development of appropriate decision support we interviewed patients, their family and health professionals. The emergency setting and the symptomatic effects of hyper-acute stroke shaped the form, content and manner of knowledge translation to support decision making. Decision making about rtPA in hyperacute stroke presented three conundrums for patients, family and clinicians. 1) How to allow time for reflection in a severely time-limited setting. 2) How to facilitate knowledge translation regarding important treatment risks and benefits when patient and family capacity is blunted by the effects and shock of stroke. 3) How to ensure patient and family views are taken into account when the situation produces reliance on the expertise of clinicians. Strategies adopted to meet these conundrums were fourfold: face to face communication; shaping decisions; incremental provision of information; and communication tailored to the individual patient. Relational forms of interaction were understood to engender trust and allay anxiety. Shaping decisions with patients was understood as an expression of confidence by clinicians that helped alleviate anxiety and offered hope and reassurance to patients and their family experiencing the shock of the stroke event. Neutral presentations of information and treatment options promoted uncertainty and contributed to anxiety. ‘Drip feeding’ information created moments for reflection: clinicians literally made time. Tailoring information to the particular patient and family situation allowed clinicians to account for social and emotional contexts. The principal responses to the challenges of decision making about rtPA in hyperacute stroke were relational decision support and situationally-sensitive knowledge translation. PMID:22675477

Situationally-sensitive knowledge translation and relational decision making in hyperacute stroke: a qualitative study.

PubMed

Murtagh, Madeleine J; Burges Watson, Duika L; Jenkings, K Neil; Lie, Mabel L S; Mackintosh, Joan E; Ford, Gary A; Thomson, Richard G

2012-01-01

Stroke is a leading cause of disability. Early treatment of acute ischaemic stroke with rtPA reduces the risk of longer term dependency but carries an increased risk of causing immediate bleeding complications. To understand the challenges of knowledge translation and decision making about treatment with rtPA in hyperacute stroke and hence to inform development of appropriate decision support we interviewed patients, their family and health professionals. The emergency setting and the symptomatic effects of hyper-acute stroke shaped the form, content and manner of knowledge translation to support decision making. Decision making about rtPA in hyperacute stroke presented three conundrums for patients, family and clinicians. 1) How to allow time for reflection in a severely time-limited setting. 2) How to facilitate knowledge translation regarding important treatment risks and benefits when patient and family capacity is blunted by the effects and shock of stroke. 3) How to ensure patient and family views are taken into account when the situation produces reliance on the expertise of clinicians. Strategies adopted to meet these conundrums were fourfold: face to face communication; shaping decisions; incremental provision of information; and communication tailored to the individual patient. Relational forms of interaction were understood to engender trust and allay anxiety. Shaping decisions with patients was understood as an expression of confidence by clinicians that helped alleviate anxiety and offered hope and reassurance to patients and their family experiencing the shock of the stroke event. Neutral presentations of information and treatment options promoted uncertainty and contributed to anxiety. 'Drip feeding' information created moments for reflection: clinicians literally made time. Tailoring information to the particular patient and family situation allowed clinicians to account for social and emotional contexts. The principal responses to the challenges of decision making about rtPA in hyperacute stroke were relational decision support and situationally-sensitive knowledge translation.

Treatment decision-making in ductal carcinoma in situ: A mixed methods systematic review of women's experiences and information needs.

PubMed

Rutherford, Claudia; Mercieca-Bebber, Rebecca; Butow, Phyllis; Wu, Jenny Liang; King, Madeleine T

2017-09-01

Decision-making in ductal carcinoma in situ (DCIS) is complex due to the heterogeneity of the disease. This study aimed to understand women's experience of making treatment decisions for DCIS, their information and support needs, and factors that influenced decisions. We searched six electronic databases, conference proceedings, and key authors. Two reviewers independently applied inclusion and quality criteria, and extracted findings. Thematic analysis was used to combine and summarise findings. We identified six themes and 28 subthemes from 18 studies. Women with DCIS have knowledge deficits about DCIS, experience anxiety related to information given at diagnosis and the complexity of decision-making, and have misconceptions regarding risks and outcomes of treatment. Women's decisions are influenced by their understanding of risk, the clinical features of their DCIS, and the benefits and harms of treatment options. Women are dissatisfied with the decisional support available. Informed and shared decision-making in this complex decision setting requires clear communication of information specific to DCIS and individual's, as well as decision support for patients and clinicians. This approach would educate patients and clinicians, and assist clinicians in supporting patients to an evidence-based treatment plan that aligns with individual values and pReferences. Copyright © 2017 Elsevier B.V. All rights reserved.

Evidence-based decision-making 7: Knowledge translation.

PubMed

Manns, Braden J

2015-01-01

There is a significant gap between what is known and what is implemented by key stakeholders in practice (the evidence to practice gap). The primary purpose of knowledge translation is to address this gap, bridging evidence to clinical practice. The knowledge to action cycle is one framework for knowledge translation that integrates policy-makers throughout the research cycle. The knowledge to action cycle begins with the identification of a problem (usually a gap in care provision). After identification of the problem, knowledge creation is undertaken, depicted at the center of the cycle as a funnel. Knowledge inquiry is at the wide end of the funnel, and moving down the funnel, the primary data is synthesized into knowledge products in the form of educational materials, guidelines, decision aids, or clinical pathways. The remaining components of the knowledge to action cycle refer to the action of applying the knowledge that has been created. This includes adapting knowledge to local context, assessing barriers to knowledge use, selecting, tailoring implementing interventions, monitoring knowledge use, evaluating outcomes, and sustaining knowledge use. Each of these steps is connected by bidirectional arrows and ideally involves healthcare decision-makers and key stakeholders at each transition.

Determining rules for closing customer service centers: A public utility company's fuzzy decision

NASA Technical Reports Server (NTRS)

Dekorvin, Andre; Shipley, Margaret F.

1992-01-01

In the present work, we consider the general problem of knowledge acquisition under uncertainty. A commonly used method is to learn by examples. We observe how the expert solves specific cases and from this infer some rules by which the decision was made. Unique to this work is the fuzzy set representation of the conditions or attributes upon which the decision make may base his fuzzy set decision. From our examples, we infer certain and possible rules containing fuzzy terms. It should be stressed that the procedure determines how closely the expert follows the conditions under consideration in making his decision. We offer two examples pertaining to the possible decision to close a customer service center of a public utility company. In the first example, the decision maker does not follow too closely the conditions. In the second example, the conditions are much more relevant to the decision of the expert.

The Relationship of Science Knowledge, Attitude and Decision Making on Socio-Scientific Issues: The Case Study of Students' Debates on a Nuclear Power Plant in Korea

ERIC Educational Resources Information Center

Jho, Hunkoog; Yoon, Hye-Gyoung; Kim, Mijung

2014-01-01

The purpose of this study was to investigate the relationship of students' understanding of science knowledge, attitude and decision making on socio-scientific issues (SSI), especially on the issues of nuclear energy in Korea. SSI-focused instructions were developed to encourage students to understand and reflect on knowledge, attitude and…

Promoting Metacognitive Decision-Making in Teacher Education

ERIC Educational Resources Information Center

Griffith, Robin; Bauml, Michelle; Quebec-Fuentes, Sarah

2016-01-01

Effective teachers are characterized by their abilities to make thoughtful, deliberate, and informed adaptations while teaching (Hoffman & Pearson, 2000). These in-the-moment teaching decisions are guided by a complex web of teacher knowledge. Raising teachers' awareness of the decisions they make on a moment-by-moment basis may aid in…

Medical students, clinical preventive services, and shared decision-making.

PubMed

Keefe, Carole W; Thompson, Margaret E; Noel, Mary Margaret

2002-11-01

Improving access to preventive care requires addressing patient, provider, and systems barriers. Patients often lack knowledge or are skeptical about the importance of prevention. Physicians feel that they have too little time, are not trained to deliver preventive services, and are concerned about the effectiveness of prevention. We have implemented an educational module in the required family practice clerkship (1) to enhance medical student learning about common clinical preventive services and (2) to teach students how to inform and involve patients in shared decision making about those services. Students are asked to examine available evidence-based information for preventive screening services. They are encouraged to look at the recommendations of various organizations and use such resources as reports from the U.S. Preventive Services Task Force to determine recommendations they want to be knowledgeable about in talking with their patients. For learning shared decision making, students are trained to use a model adapted from Braddock and colleagues(1) to discuss specific screening services and to engage patients in the process of making informed decisions about what is best for their own health. The shared decision making is presented and modeled by faculty, discussed in small groups, and students practice using Web-based cases and simulations. The students are evaluated using formative and summative performance-based assessments as they interact with simulated patients about (1) screening for high blood cholesterol and other lipid abnormalities, (2) screening for colorectal cancer, (3) screening for prostate cancer, and (4) screening for breast cancer. The final student evaluation is a ten-minute, videotaped discussion with a simulated patient about screening for colorectal cancer that is graded against a checklist that focuses primarily on the elements of shared decision making. Our medical students appear quite willing to accept shared decision making as a skill that they should have in working with patients, and this was the primary focus of the newly implemented module. However, we have learned that students need to deepen their understanding of screening services in order to help patients understand the associated benefits and risks. The final videotaped interaction with a simulated patient about colorectal cancer screening has been very helpful in making it more obvious to faculty what students believe and know about screening for colorectal cancer. As the students are asked to discuss clinical issues with patients and discuss the pros and cons of screening tests as part of the shared decision-making process, their thinking becomes transparent and it is evident where curricular changes and enhancements are required. We have found that an explicit model that allows students to demonstrate a process for shared decision making is a good introductory tool. We think it would be helpful to provide students with more formative feedback. We would like to develop faculty development programs around shared decision making so that more of our clinical faculty would model such a process with patients. Performance-based assessments are resource-intensive, but they appear to be worth the added effort in terms of enhanced skills development and a more comprehensive appraisal of student learning.

Adverse outcome pathway (AOP) development II: Best practices

EPA Science Inventory

Organization of existing and emerging toxicological knowledge into adverse outcome pathway (AOP) descriptions can facilitate greater application of mechanistic data, including high throughput in vitro, high content omics and imaging, and biomarkers, in risk-based decision-making....

Evidence-based decision making : developing a knowledge base for successful program outcomes in transportation asset management.

DOT National Transportation Integrated Search

2015-12-01

MAP-21 and AASHTOs framework for transportation asset management (TAM) offer opportunities to use more : rigorous approaches to collect and apply evidence within a TAM context. This report documents the results of a study : funded by the Georgia D...

Roadblocks to Scientific Thinking in Educational Decision Making

ERIC Educational Resources Information Center

Yates, Gregory C. R.

2008-01-01

Principles of scientific data accumulation and evidence-based practices are vehicles of professional enhancement. In this article, the author argues that a scientific knowledge base exists descriptive of the relationship between teachers' activities and student learning. This database appears barely recognised however, for reasons including (a)…

Map of Life - A Dashboard for Monitoring Planetary Species Distributions

NASA Astrophysics Data System (ADS)

Jetz, W.

2016-12-01

Geographic information about biodiversity is vital for understanding the many services nature provides and their potential changes, yet remains unreliable and often insufficient. By integrating a wide range of knowledge about species distributions and their dynamics over time, Map of Life supports global biodiversity education, monitoring, research and decision-making. Built on a scalable web platform geared for large biodiversity and environmental data, Map of Life endeavors provides species range information globally and species lists for any area. With data and technology provided by NASA and Google Earth Engine, tools under development use remote sensing-based environmental layers to enable on-the-fly predictions of species distributions, range changes, and early warning signals for threatened species. The ultimate vision is a globally connected, collaborative knowledge- and tool-base for regional and local biodiversity decision-making, education, monitoring, and projection. For currently available tools, more information and to follow progress, go to MOL.org.

Effect of a patient decision aid (PDA) for type 2 diabetes on knowledge, decisional self-efficacy, and decisional conflict.

PubMed

Bailey, Robert A; Pfeifer, Michael; Shillington, Alicia C; Harshaw, Qing; Funnell, Martha M; VanWingen, Jeffrey; Col, Nanada

2016-01-14

Patients with type 2 diabetes (T2DM) often have poor glycemic control on first-line pharmacologic therapy and require treatment intensification. Intensification decisions can be difficult because of many available options and their many benefits and risks. The American Diabetes Association recommends patient-centered, evidence-based tools supporting shared decision-making between patients and clinicians. We developed a patient decision aid (PDA) targeting decisions about treatment intensification for T2DM. Our objective was to determine the effectiveness of this PDA for patients with T2DM on metformin who require treatment intensification. This study was a pragmatic randomized controlled trial conducted in 27 US primary care and endocrinology clinics. Subjects were English-speaking adults with T2DM receiving metformin with persistent hyperglycemia who were recommended to consider medication intensification. Subjects were randomized to receive either the PDA or usual care (UC). Main outcome measures were change in knowledge, decisional self-efficacy, and decisional conflict. Of 225 subjects enrolled, 114 were randomized to the PDA and 111 to UC. Mean [SD] age was 52 [1] years, time since T2DM diagnosis was 6 [+/-6] years, 45.3% were male, and most (55.5%) were non-Caucasian. Compared to UC, PDA users had significantly larger knowledge gains (35.0% [22.3] vs 9.9% [22.2]; P < 0.0001) and larger improvements in self-efficacy (3.7 [16.7] vs-3.9 [19.2]; P < 0.0001) and decisional conflict (-22.2 [20.6] vs-7.5 [16.6]; P < 0.0001). The PDA resulted in substantial and significant improvements in knowledge, decisional conflict and decisional self-efficacy. Decisional conflict scores after PDA use were within the range that correlates with effective decision-making. This PDA has the potential to facilitate shared-decision-making for patients with T2DM. NCT02110979.

Some Ideas on the Microcomputer and the Information/Knowledge Workstation.

ERIC Educational Resources Information Center

Boon, J. A.; Pienaar, H.

1989-01-01

Identifies the optimal goal of knowledge workstations as the harmony of technology and human decision-making behaviors. Two types of decision-making processes are described and the application of each type to experimental and/or operational situations is discussed. Suggestions for technical solutions to machine-user interfaces are then offered.…

Neuro-Fuzzy Support of Knowledge Management in Social Regulation

NASA Astrophysics Data System (ADS)

Petrovic-Lazarevic, Sonja; Coghill, Ken; Abraham, Ajith

2002-09-01

The aim of the paper is to demonstrate the neuro-fuzzy support of knowledge management in social regulation. Knowledge could be understood for social regulation purposes as explicit and tacit. Explicit knowledge relates to the community culture indicating how things work in the community based on social policies and procedures. Tacit knowledge is ethics and norms of the community. The former could be codified, stored and transferable in order to support decision making, while the latter being based on personal knowledge, experience and judgments is difficult to codify and store. Tacit knowledge expressed through linguistic information can be stored and used to support knowledge management in social regulation through the application of fuzzy and neuro-fuzzy logic.

Shared Knowledge for Decision-making on Environment and Health Issues in the Arctic

NASA Technical Reports Server (NTRS)

Maynard, Nancy G.

2003-01-01

This paper will describe a remote sensing and GIs-based system to bring indigenous traditional knowledge together with contemporary scientific knowledge to address impacts resulting from changes in climate, environment, weather and pollution in the Arctic. As scientists and policy-makers from both indigenous and non-indigenous communities continue to build closer partnerships to address common sustainability issues such as the health impacts of climate change and anthropogenic activities, it becomes increasingly important to create shared information management systems which integrate all relevant factors for optimal information sharing and decision-making. This system is being designed to bring together remotely sensed, indigenous and other data and observations for analysis, measuring, and monitoring parameters of interest (e.g., snow cover, rainfall, temperature, ice conditions, vegetation, infrastructure, fires). A description of the system and its components as well as a preliminary application of the system in the Arctic will be presented.

Doctors' knowledge of the law on withholding and withdrawing life-sustaining medical treatment.

PubMed

White, Ben; Willmott, Lindy; Cartwright, Colleen; Parker, Malcolm H; Williams, Gail

2014-08-18

To examine doctors' level of knowledge of the law on withholding and withdrawing life-sustaining treatment from adults who lack decision-making capacity, and factors associated with a higher level of knowledge. Postal survey of all specialists in emergency medicine, geriatric medicine, intensive care, medical oncology, palliative medicine, renal medicine and respiratory medicine on the AMPCo Direct database in New South Wales, Victoria and Queensland. Survey initially posted to participants on 18 July 2012 and closed on 31 January 2013. Medical specialists' levels of knowledge about the law, based on their responses to two survey questions. Overall response rate was 32%. For the seven statements contained in the two questions about the law, the mean knowledge score was 3.26 out of 7. State and specialty were the strongest predictors of legal knowledge. Among doctors who practise in the end-of-life field, there are some significant knowledge gaps about the law on withholding and withdrawing life-sustaining treatment from adults who lack decision-making capacity. Significant consequences for both patients and doctors can flow from a failure to comply with the law. Steps should be taken to improve doctors' legal knowledge in this area and to harmonise the law across Australia.

Decision tools in health care: focus on the problem, not the solution.

PubMed

Liu, Joseph; Wyatt, Jeremy C; Altman, Douglas G

2006-01-20

Systematic reviews or randomised-controlled trials usually help to establish the effectiveness of drugs and other health technologies, but are rarely sufficient by themselves to ensure actual clinical use of the technology. The process from innovation to routine clinical use is complex. Numerous computerised decision support systems (DSS) have been developed, but many fail to be taken up into actual use. Some developers construct technologically advanced systems with little relevance to the real world. Others did not determine whether a clinical need exists. With NHS investing 5 billion pounds sterling in computer systems, also occurring in other countries, there is an urgent need to shift from a technology-driven approach to one that identifies and employs the most cost-effective method to manage knowledge, regardless of the technology. The generic term, 'decision tool' (DT), is therefore suggested to demonstrate that these aids, which seem different technically, are conceptually the same from a clinical viewpoint. Many computerised DSSs failed for various reasons, for example, they were not based on best available knowledge; there was insufficient emphasis on their need for high quality clinical data; their development was technology-led; or evaluation methods were misapplied. We argue that DSSs and other computer-based, paper-based and even mechanical decision aids are members of a wider family of decision tools. A DT is an active knowledge resource that uses patient data to generate case specific advice, which supports decision making about individual patients by health professionals, the patients themselves or others concerned about them. The identification of DTs as a consistent and important category of health technology should encourage the sharing of lessons between DT developers and users and reduce the frequency of decision tool projects focusing only on technology. The focus of evaluation should become more clinical, with the impact of computer-based DTs being evaluated against other computer, paper- or mechanical tools, to identify the most cost effective tool for each clinical problem. We suggested the generic term 'decision tool' to demonstrate that decision-making aids, such as computerised DSSs, paper algorithms, and reminders are conceptually the same, so the methods to evaluate them should be the same.

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.

Active and passive spatial learning in human navigation: acquisition of graph knowledge.

PubMed

Chrastil, Elizabeth R; Warren, William H

2015-07-01

It is known that active exploration of a new environment leads to better spatial learning than does passive visual exposure. We ask whether specific components of active learning differentially contribute to particular forms of spatial knowledge-the exploration-specific learning hypothesis. Previously, we found that idiothetic information during walking is the primary active contributor to metric survey knowledge (Chrastil & Warren, 2013). In this study, we test the contributions of 3 components to topological graph and route knowledge: visual information, idiothetic information, and cognitive decision making. Four groups of participants learned the locations of 8 objects in a virtual hedge maze by (a) walking or (b) watching a video, crossed with (1) either making decisions about their path or (2) being guided through the maze. Route and graph knowledge were assessed by walking in the maze corridors from a starting object to the remembered location of a test object, with frequent detours. Decision making during exploration significantly contributed to subsequent route finding in the walking condition, whereas idiothetic information did not. Participants took novel routes and the metrically shortest routes on the majority of both direct and barrier trials, indicating that labeled graph knowledge-not merely route knowledge-was acquired. We conclude that, consistent with the exploration-specific learning hypothesis, decision making is the primary component of active learning for the acquisition of topological graph knowledge, whereas idiothetic information is the primary component for metric survey knowledge. (c) 2015 APA, all rights reserved.

A Novel Decision Aid to Support Informed Decision-Making Process in Patients with a Symptomatic Nonlower Pole Renal Stone <20 mm in Diameter.

PubMed

Gökce, Mehmet İlker; Esen, Barış; Sancı, Adem; Akpınar, Cağrı; Süer, Evren; Gülpınar, Ömer

2017-07-01

Stone disease is an important health problem, and patients have different treatment choices. Shared decision making is recommended for deciding the treatment type, but patient education is necessary. Decision aids (DAs) are used for this aim, and herein, we developed a novel DA for patients with symptomatic nonlower pole renal stones <20 mm in diameter. The DA development process was established based on the recommended guides. General characteristics of the stone disease and details of the shockwave lithotripsy and retrograde intrarenal surgery were included in the content of the DA. The DA was further revised based on the suggestions of different physician groups and patients. The DA was evaluated by three physicians (Delphi assessment-International Patient Decision Aid Standards [IPDAS] Collaboration standards) and 25 patients (questionnaire of six questions with five-point Likert scale). The DA was designed as a booklet, and Delphi group assessment resulted in a total score of 50/54. Patient evaluation of the DA resulted in favorable outcomes, and patients generally recommended its use by other patients. This novel DA for patients with a symptomatic nonlower pole renal stone <20 mm showed promising results and was well accepted by the patients. We believe that this DA will have a positive impact on patients' level of knowledge. Increased level of knowledge will also improve the patients' contribution to the shared decision-making process. A further prospective randomized trial to compare with the standard patient informing process is also planned.

The influence of evidence-based medicine training on decision-making in relation to over-the-counter medicines: a qualitative study.

PubMed

Hanna, Lezley-Anne; Hughes, Carmel

2012-12-01

To explore the role of evidence of effectiveness when making decisions about over-the-counter (OTC) medication and to ascertain whether evidence-based medicine training raised awareness in decision-making. Additionally, this work aimed to complement the findings of a previous study because all participants in this current study had received training in evidence-based medicine (unlike the previous participants). Following ethical approval and an e-mailed invitation, face-to-face, semi-structured interviews were conducted with newly registered pharmacists (who had received training in evidence-based medicine as part of their MPharm degree) to discuss the role of evidence of effectiveness with OTC medicines. Interviews were recorded and transcribed verbatim. Following transcription, all data were entered into the NVivo software package (version 8). Data were coded and analysed using a constant comparison approach. Twenty-five pharmacists (7 males and 18 females; registered for less than 4 months) were recruited and all participated in the study. Their primary focus with OTC medicines was safety; sales of products (including those that lack evidence of effectiveness) were justified provided they did no harm. Meeting patient expectation was also an important consideration and often superseded evidence. Despite knowledge of the concept, and an awareness of ethical requirements, an evidence-based approach was not routinely implemented by these pharmacists. Pharmacists did not routinely utilize evidence-based resources when making decisions about OTC medicines and some felt uncomfortable discussing the evidence-base for OTC products with patients. The evidence-based medicine training that these pharmacists received appeared to have limited influence on OTC decision-making. More work could be conducted to ensure that an evidence-based approach is routinely implemented in practice. © 2012 The Authors. IJPP © 2012 Royal Pharmaceutical Society.

Anger as a moderator of safer sex motivation among low-income urban women.

PubMed

Schroder, Kerstin E E; Carey, Michael P

2005-10-01

Theoretical models suggest that both HIV knowledge and HIV risk perception inform rational decision making and, thus, predict safer sex motivation and behavior. However, the amount of variance explained by knowledge and risk perception is typically small. In this cross-sectional study, we investigated whether the predictive power of HIV knowledge and HIV risk perception on safer sex motivation is affected by trait anger. We hypothesized that anger may disrupt rational decision making, distorting the effects of both HIV knowledge and risk perception on safer sex intentions. Data from 232 low-income, urban women at risk for HIV infection were used to test a path model with past sexual risk behavior, HIV knowledge, and HIV risk perception as predictors of safer sex intentions. Moderator effects of anger on safer sex intentions were tested by simultaneous group comparisons between high-anger and low-anger women (median split). The theoretically expected "rational pattern" was found among low-anger women only, including (a) a positive effect of knowledge on safer sex intentions, and (b) buffer (inhibitor) effects of HIV knowledge and HIV risk perception on the negative path leading from past risk behavior to safer sex intentions. Among high-anger women, an "irrational pattern" emerged, with no effects of HIV knowledge and negative effects of both past risk behavior and HIV risk perception on safer sex intentions. In sum, the results suggest that rational knowledge- and risk-based decisions regarding safer sex may be limited to low-anger women.

Anger as a Moderator of Safer Sex Motivation among Low Income Urban Women

PubMed Central

Carey, Michael P.

2005-01-01

Theoretical models suggest that both HIV knowledge and HIV risk perception inform rational decision-making and, thus, predict safer sex motivation and behavior. However, the amount of variance explained by knowledge and risk perception is typically small. In this cross-sectional study, we investigated whether the predictive power of HIV knowledge and HIV risk perception on safer sex motivation is affected by trait anger. We hypothesized that anger may disrupt rational-decision making, distorting the effects of both HIV knowledge and risk perception on safer sex intentions. Data from 232 low-income, urban women at risk for HIV infection were used to test a path model with past sexual risk behavior, HIV knowledge, and HIV risk perception as predictors of safer sex intentions. Moderator effects of anger on safer sex intentions were tested by simultaneous group comparisons between high-anger and low-anger women (median-split). The theoretically expected “rational pattern” was found among low-anger women only, including (a) a positive effect of knowledge on safer sex intentions, and (b) buffer (inhibitor) effects of HIV knowledge and HIV risk perception on the negative path leading from past risk behavior to safer sex intentions. Among high-anger women, an “irrational pattern” emerged, with no effects of HIV knowledge and negative effects of both past risk behavior and HIV risk perception on safer sex intentions. In sum, the results suggest that rational knowledge and risk-based decisions regarding safer sex may be limited to low-anger women. PMID:16247592

Participatory approach to the development of a knowledge base for problem-solving in diabetes self-management.

PubMed

Cole-Lewis, Heather J; Smaldone, Arlene M; Davidson, Patricia R; Kukafka, Rita; Tobin, Jonathan N; Cassells, Andrea; Mynatt, Elizabeth D; Hripcsak, George; Mamykina, Lena

2016-01-01

To develop an expandable knowledge base of reusable knowledge related to self-management of diabetes that can be used as a foundation for patient-centric decision support tools. The structure and components of the knowledge base were created in participatory design with academic diabetes educators using knowledge acquisition methods. The knowledge base was validated using scenario-based approach with practicing diabetes educators and individuals with diabetes recruited from Community Health Centers (CHCs) serving economically disadvantaged communities and ethnic minorities in New York. The knowledge base includes eight glycemic control problems, over 150 behaviors known to contribute to these problems coupled with contextual explanations, and over 200 specific action-oriented self-management goals for correcting problematic behaviors, with corresponding motivational messages. The validation of the knowledge base suggested high level of completeness and accuracy, and identified improvements in cultural appropriateness. These were addressed in new iterations of the knowledge base. The resulting knowledge base is theoretically grounded, incorporates practical and evidence-based knowledge used by diabetes educators in practice settings, and allows for personally meaningful choices by individuals with diabetes. Participatory design approach helped researchers to capture implicit knowledge of practicing diabetes educators and make it explicit and reusable. The knowledge base proposed here is an important step towards development of new generation patient-centric decision support tools for facilitating chronic disease self-management. While this knowledge base specifically targets diabetes, its overall structure and composition can be generalized to other chronic conditions. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Participatory approach to the development of a knowledge base for problem-solving in diabetes self-management

PubMed Central

Cole-Lewis, Heather J.; Smaldone, Arlene M.; Davidson, Patricia R.; Kukafka, Rita; Tobin, Jonathan N.; Cassells, Andrea; Mynatt, Elizabeth D.; Hripcsak, George; Mamykina, Lena

2015-01-01

Objective To develop an expandable knowledge base of reusable knowledge related to self-management of diabetes that can be used as a foundation for patient-centric decision support tools. Materials and methods The structure and components of the knowledge base were created in participatory design with academic diabetes educators using knowledge acquisition methods. The knowledge base was validated using scenario-based approach with practicing diabetes educators and individuals with diabetes recruited from Community Health Centers (CHCs) serving economically disadvantaged communities and ethnic minorities in New York. Results The knowledge base includes eight glycemic control problems, over 150 behaviors known to contribute to these problems coupled with contextual explanations, and over 200 specific action-oriented self-management goals for correcting problematic behaviors, with corresponding motivational messages. The validation of the knowledge base suggested high level of completeness and accuracy, and identified improvements in cultural appropriateness. These were addressed in new iterations of the knowledge base. Discussion The resulting knowledge base is theoretically grounded, incorporates practical and evidence-based knowledge used by diabetes educators in practice settings, and allows for personally meaningful choices by individuals with diabetes. Participatory design approach helped researchers to capture implicit knowledge of practicing diabetes educators and make it explicit and reusable. Conclusion The knowledge base proposed here is an important step towards development of new generation patient-centric decision support tools for facilitating chronic disease self-management. While this knowledge base specifically targets diabetes, its overall structure and composition can be generalized to other chronic conditions. PMID:26547253

Towards public health decision support: a systematic review of bidirectional communication approaches

PubMed Central

Dixon, Brian E; Gamache, Roland E; Grannis, Shaun J

2013-01-01

Objective To summarize the literature describing computer-based interventions aimed at improving bidirectional communication between clinical and public health. Materials and Methods A systematic review of English articles using MEDLINE and Google Scholar. Search terms included public health, epidemiology, electronic health records, decision support, expert systems, and decision-making. Only articles that described the communication of information regarding emerging health threats from public health agencies to clinicians or provider organizations were included. Each article was independently reviewed by two authors. Results Ten peer-reviewed articles highlight a nascent but promising area of research and practice related to alerting clinicians about emerging threats. Current literature suggests that additional research and development in bidirectional communication infrastructure should focus on defining a coherent architecture, improving interoperability, establishing clear governance, and creating usable systems that will effectively deliver targeted, specific information to clinicians in support of patient and population decision-making. Conclusions Increasingly available clinical information systems make it possible to deliver timely, relevant knowledge to frontline clinicians in support of population health. Future work should focus on developing a flexible, interoperable infrastructure for bidirectional communications capable of integrating public health knowledge into clinical systems and workflows. PMID:23467470

Shared decision making in designing new healthcare environments-time to begin improving quality.

PubMed

Elf, Marie; Fröst, Peter; Lindahl, Göran; Wijk, Helle

2015-03-21

Successful implementation of new methods and models of healthcare to achieve better patient outcomes and safe, person-centered care is dependent on the physical environment of the healthcare architecture in which the healthcare is provided. Thus, decisions concerning healthcare architecture are critical because it affects people and work processes for many years and requires a long-term financial commitment from society. In this paper, we describe and suggest several strategies (critical factors) to promote shared-decision making when planning and designing new healthcare environments. This paper discusses challenges and hindrances observed in the literature and from the authors extensive experiences in the field of planning and designing healthcare environments. An overview is presented of the challenges and new approaches for a process that involves the mutual exchange of knowledge among various stakeholders. Additionally, design approaches that balance the influence of specific and local requirements with general knowledge and evidence that should be encouraged are discussed. We suggest a shared-decision making and collaborative planning and design process between representatives from healthcare, construction sector and architecture based on evidence and end-users' perspectives. If carefully and systematically applied, this approach will support and develop a framework for creating high quality healthcare environments.

Informed decision-making with and for people with dementia: Developing and pilot testing an education program for legal representatives (PRODECIDE).

PubMed

Lühnen, Julia; Mühlhauser, Ingrid; Richter, Tanja

2017-01-01

Background People living with dementia are often appointed a legal representative, to support and protect their ethical and legal rights to informed healthcare decisions. However, legal representatives usually have no qualifications in healthcare. Objective The aim of this study was to explore decision-making processes with participation of legal representatives and, resulting from this, to develop and pilot test an education program for legal representatives in Germany. Methods We conducted interviews with legal representatives and senior citizens about decision-making processes in healthcare, with special focus on percutaneous endoscopic gastrostomy, physical restraints, and prescription of antipsychotics for people with dementia. We generated a curriculum based on systematic literature searches and the results of these interviews. We tested the education program for comprehensibility, feasibility, usability, and acceptance. Results Personal interviews with voluntary ( n = 12) and professional ( n = 12) representatives, and senior citizens ( n = 14) were conducted. Preferences, attitudes, and wishes regarding percutaneous endoscopic gastrostomy, physical restraints, and antipsychotics, and the process of decision-making, were heterogeneous. A structural approach is lacking. The education program proxy-decison-making (PRODECIDE) comprises four modules: (A) decision-making processes and methods; (B-D) evidence-based knowledge about percutaneous endoscopic gastrostomy, physical restraints, and antipsychotics. We conducted eight trainings with 47 legal representatives. PRODECIDE was well accepted. Comprehensibility of contents and materials was rated high. The program seems feasible for implementation. Conclusion PRODECIDE seems suitable to improve the decision-making processes of legal representatives in Germany. Implementation will be appropriate if efficacy is proven; a randomized controlled trial is currently underway.

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

The availability of health information system for decision-making with evidence-based medicine approach-a case study: Kermanshah, Iran.

PubMed

Safari, Ameneh; Safari, Yahya

2018-08-01

Evidence-based medicine (EBM) is defining proper and wise use of the best evidence in clinical decision for patient׳s care. This study have done with the aim of evaluating health information system for decision-making with EBM approach in educational hospital of Kermanshah city. The statistical population include all the specialist and specialty, and also head nurses of educational hospitals in Kermanshah city. The data collected by researcher made questionnaire. The content validities of the questionnaire were confirmed by experts to complete the questions of the questionnaire. Then, the reliability of the questionnaire was evaluated using the Cronbach׳s alpha coefficient. The results have showed that the accessibility rate to the internet sources is in desirable level. The results have showed that there was a significant difference at least in one group between the availability of hospital information system EBM establishment in terms of accessing to the internet based data, according to the academic major ( P = 0.021 ). The sufficiency of hospital information system in evidence-based medicine establishment in terms of necessary knowledge for implementing it according to the educational major have showed a significant statistical difference at least in one group ( P = 0.001 ). Kermanshah׳s hospital have a desirable condition in terms of accessibility to the internet sources, knowledge of EBM and its implementation which this have showed the availability of desirable platform for decision-making with the EBM approach. However, it is better to implement regulate educational periods for educating the doctors and nurses in order to reach practical implementation of the EBM approach.

Health Care Coverage Decision Making in Low- and Middle-Income Countries: Experiences from 25 Coverage Schemes.

PubMed

Gutierrez, Hialy; Shewade, Ashwini; Dai, Minghan; Mendoza-Arana, Pedro; Gómez-Dantés, Octavio; Jain, Nishant; Khonelidze, Irma; Nabyonga-Orem, Juliet; Saleh, Karima; Teerawattananon, Yot; Nishtar, Sania; Hornberger, John

2015-08-01

Lessons learned by countries that have successfully implemented coverage schemes for health services may be valuable for other countries, especially low- and middle-income countries (LMICs), which likewise are seeking to provide/expand coverage. The research team surveyed experts in population health management from LMICs for information on characteristics of health care coverage schemes and factors that influenced decision-making processes. The level of coverage provided by the different schemes varied. Nearly all the health care coverage schemes involved various representatives and stakeholders in their decision-making processes. Maternal and child health, cardiovascular diseases, cancer, and HIV were among the highest priorities guiding coverage development decisions. Evidence used to inform coverage decisions included medical literature, regional and global epidemiology, and coverage policies of other coverage schemes. Funding was the most commonly reported reason for restricting coverage. This exploratory study provides an overview of health care coverage schemes from participating LMICs and contributes to the scarce evidence base on coverage decision making. Sharing knowledge and experiences among LMICs can support efforts to establish systems for accessible, affordable, and equitable health care.

What is knowledge and when should it be implemented?

PubMed

O'Grady, Laura

2012-10-01

A primary purpose of research is to generate new knowledge. Scientific advances have progressively identified optimal ways to achieve this purpose. Included in this evolution are the notions of evidence-based medicine, decision aids, shared decision making, measurement and evaluation as well as implementation. The importance of including qualitative and quantitative methods in our research is now understood. We have debated the meaning of evidence and how to implement it. However, we have yet to consider how to include in our study findings other types of information such as tacit and experiential knowledge. This key consideration needs to take place before we translate new findings or 'knowledge' into clinical practice. This article critiques assumptions regarding the nature of knowledge and suggests a framework for implementing research findings into practice. © 2012 Blackwell Publishing Ltd.

A knowledge infrastructure for occupational safety and health.

PubMed

van Dijk, Frank J H; Verbeek, Jos H; Hoving, Jan L; Hulshof, Carel T J

2010-12-01

Occupational Safety and Health (OSH) professionals should use scientific evidence to support their decisions in policy and practice. Although examples from practice show that progress has been made in evidence-based decision making, there is a challenge to improve and extend the facilities that support knowledge translation in practice. A knowledge infrastructure that supports OSH practice should include scientific research, systematic reviews, practice guidelines, and other tools for professionals such as well accessible virtual libraries and databases providing knowledge, quality tools, and good learning materials. A good infrastructure connects facilities with each other and with practice. Training and education is needed for OSH professionals in the use of evidence to improve effectiveness and efficiency. New initiatives show that occupational health can profit from intensified international collaboration to establish a good functioning knowledge infrastructure.

Fostering Wisdom-Based Action through Web 2.0 Communities of Practice: An Example of the Early Childhood Family Support Community of Practice

ERIC Educational Resources Information Center

Turnbull, Ann P.; Summers, Jean Ann; Gotto, George; Stowe, Matt; Beauchamp, Donna; Klein, Samara; Kyzar, Kathleen; Turnbull, Rud; Zuna, Nina

2009-01-01

This article discusses a new approach to knowledge translation using Web 2.0 technologies in an online Community of Practice (CoP). The purpose of the CoP is to promote wisdom-based action, a process that encourages people to engage with knowledge, match it to their own values, vision, and contexts, make a well-informed decision, and act on that…

Decision making under uncertainty: a quasimetric approach.

PubMed

N'Guyen, Steve; Moulin-Frier, Clément; Droulez, Jacques

2013-01-01

We propose a new approach for solving a class of discrete decision making problems under uncertainty with positive cost. This issue concerns multiple and diverse fields such as engineering, economics, artificial intelligence, cognitive science and many others. Basically, an agent has to choose a single or series of actions from a set of options, without knowing for sure their consequences. Schematically, two main approaches have been followed: either the agent learns which option is the correct one to choose in a given situation by trial and error, or the agent already has some knowledge on the possible consequences of his decisions; this knowledge being generally expressed as a conditional probability distribution. In the latter case, several optimal or suboptimal methods have been proposed to exploit this uncertain knowledge in various contexts. In this work, we propose following a different approach, based on the geometric intuition of distance. More precisely, we define a goal independent quasimetric structure on the state space, taking into account both cost function and transition probability. We then compare precision and computation time with classical approaches.

Analysis of Nursing Clinical Decision Support Requests and Strategic Plan in a Large Academic Health System.

PubMed

Whalen, Kimberly; Bavuso, Karen; Bouyer-Ferullo, Sharon; Goldsmith, Denise; Fairbanks, Amanda; Gesner, Emily; Lagor, Charles; Collins, Sarah

2016-01-01

To understand requests for nursing Clinical Decision Support (CDS) interventions at a large integrated health system undergoing vendor-based EHR implementation. In addition, to establish a process to guide both short-term implementation and long-term strategic goals to meet nursing CDS needs. We conducted an environmental scan to understand current state of nursing CDS over three months. The environmental scan consisted of a literature review and an analysis of CDS requests received from across our health system. We identified existing high priority CDS and paper-based tools used in nursing practice at our health system that guide decision-making. A total of 46 nursing CDS requests were received. Fifty-six percent (n=26) were specific to a clinical specialty; 22 percent (n=10) were focused on facilitating clinical consults in the inpatient setting. "Risk Assessments/Risk Reduction/Promotion of Healthy Habits" (n=23) was the most requested High Priority Category received for nursing CDS. A continuum of types of nursing CDS needs emerged using the Data-Information-Knowledge-Wisdom Conceptual Framework: 1) facilitating data capture, 2) meeting information needs, 3) guiding knowledge-based decision making, and 4) exposing analytics for wisdom-based clinical interpretation by the nurse. Identifying and prioritizing paper-based tools that can be modified into electronic CDS is a challenge. CDS strategy is an evolving process that relies on close collaboration and engagement with clinical sites for short-term implementation and should be incorporated into a long-term strategic plan that can be optimized and achieved overtime. The Data-Information-Knowledge-Wisdom Conceptual Framework in conjunction with the High Priority Categories established may be a useful tool to guide a strategic approach for meeting short-term nursing CDS needs and aligning with the organizational strategic plan.

Impact of health research on advances in knowledge, research capacity-building and evidence-informed policies: a case study on maternal mortality and morbidity in Brazil.

PubMed

Angulo-Tuesta, Antonia; Santos, Leonor Maria Pacheco; Natalizi, Daniel Alves

2016-04-01

National health research systems aim to generate high-quality knowledge so as to maintain and promote the population's health. This study aimed to analyze the impact of maternal mortality/morbidity research funded by the Brazilian Ministry of Health and institutional partners, on the dimensions: advancing in knowledge, research capacity-building and informing decision-making, within the framework of the Canadian Academy of Health Sciences. Descriptive study based on secondary data, conducted at a public university. The advancing in knowledge dimension was estimated from the principal investigators' publication counts and h-index. Data on research capacity-building were obtained from the Ministry of Health's information system. The informing decision-making dimension was analyzed from citations in Stork Network (Rede Cegonha) documents. Between 2002 and 2010, R$ 21.6 million were invested in 128 maternal mortality/morbidity projects. Over this period, the principal investigators published 174 articles, resulting in an h-index of 35, thus showing progress in the advancing in knowledge dimension. Within the research capacity-building dimension, training of 71 students (undergraduate/postgraduate) was observed. Progress in the informing decision-making dimension was modest: 73.5% of the 117 citations in the Stork Network documents were institutional documents and norms. One of the projects funded, the 2006/7 National Demography and Health Survey, was cited in program documents. Impacts were shown in the advancing in knowledge and research capacity-building dimensions. The health research system needs to incorporate research for evidence-informed policies.

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.

Knowledge of risk factors and the periodontal disease-systemic link in dental students' clinical decisions.

PubMed

Friesen, Lynn Roosa; Walker, Mary P; Kisling, Rebecca E; Liu, Ying; Williams, Karen B

2014-09-01

This study evaluated second-, third-, and fourth-year dental students' ability to identify systemic conditions associated with periodontal disease, risk factors most important for referral, and medications with an effect on the periodontium and their ability to apply this knowledge to make clinical decisions regarding treatment and referral of periodontal patients. A twenty-one question survey was administered at one U.S. dental school in the spring semester of 2012 to elicit the students' knowledge and confidence regarding clinical reasoning. The response rate was 86 percent. Periodontal risk factors were accurately selected by at least 50 percent of students in all three classes; these were poorly controlled diabetes, ≥6 mm pockets posteriorly, and lack of response to previous non-surgical therapy. Confidence in knowledge, knowledge of risk factors, and knowledge of medications with an effect on the periodontium improved with training and were predictive of better referral decision making. The greatest impact of training was seen on the students' ability to make correct decisions about referral and treatment for seven clinical scenarios. Although the study found a large increase in the students' abilities from the second through fourth years, the mean of 4.6 (out of 7) for the fourth-year students shows that, on average, those students missed correct treatment or referral on more than two of seven clinical cases. These results suggest that dental curricula should emphasize more critical decision making with respect to referral and treatment criteria in managing the periodontal patient.

Mental model mapping as a new tool to analyse the use of information in decision-making in integrated water management

NASA Astrophysics Data System (ADS)

Kolkman, M. J.; Kok, M.; van der Veen, A.

The solution of complex, unstructured problems is faced with policy controversy and dispute, unused and misused knowledge, project delay and failure, and decline of public trust in governmental decisions. Mental model mapping (also called concept mapping) is a technique to analyse these difficulties on a fundamental cognitive level, which can reveal experiences, perceptions, assumptions, knowledge and subjective beliefs of stakeholders, experts and other actors, and can stimulate communication and learning. This article presents the theoretical framework from which the use of mental model mapping techniques to analyse this type of problems emerges as a promising technique. The framework consists of the problem solving or policy design cycle, the knowledge production or modelling cycle, and the (computer) model as interface between the cycles. Literature attributes difficulties in the decision-making process to communication gaps between decision makers, stakeholders and scientists, and to the construction of knowledge within different paradigm groups that leads to different interpretation of the problem situation. Analysis of the decision-making process literature indicates that choices, which are made in all steps of the problem solving cycle, are based on an individual decision maker’s frame of perception. This frame, in turn, depends on the mental model residing in the mind of the individual. Thus we identify three levels of awareness on which the decision process can be analysed. This research focuses on the third level. Mental models can be elicited using mapping techniques. In this way, analysing an individual’s mental model can shed light on decision-making problems. The steps of the knowledge production cycle are, in the same manner, ultimately driven by the mental models of the scientist in a specific discipline. Remnants of this mental model can be found in the resulting computer model. The characteristics of unstructured problems (complexity, uncertainty and disagreement) can be positioned in the framework, as can the communities of knowledge construction and valuation involved in the solution of these problems (core science, applied science, and professional consultancy, and “post-normal” science). Mental model maps, this research hypothesises, are suitable to analyse the above aspects of the problem. This hypothesis is tested for the case of the Zwolle storm surch barrier. Analysis can aid integration between disciplines, participation of public stakeholders, and can stimulate learning processes. Mental model mapping is recommended to visualise the use of knowledge, to analyse difficulties in problem solving process, and to aid information transfer and communication. Mental model mapping help scientists to shape their new, post-normal responsibilities in a manner that complies with integrity when dealing with unstructured problems in complex, multifunctional systems.

e-Government for Development Information Exchange (DIE): Zambia

NASA Astrophysics Data System (ADS)

Joseph, Bwalya Kelvin

In most parts of the world, political systems which utilize authoritative rule and mostly employ top-down decision-making processes are slowly transcending towards democratic norms. Information Technology Systems have been identified and adopted as one of the most efficient vehicles for appropriate, transparent and inclusive / participatory decision making. Zambia has shown a higher propensity to indigenous knowledge systems which are full of inefficiencies, a lot of red tape in public service delivery, and prone to corrupt practices. Despite that being the case, it is slowly trying to implement e-government. The adoption of e-government promises a sharp paradigm shift where public institutions will be more responsive and transparent, promote efficient PPP (Public Private Partnerships), and empower citizens by making knowledge and other resources more directly accessible. This paper examines three cases from Zambia where ICT in support of e-government has been implemented for Development Information Exchange (DIE) - knowledge-based decision making. The paper also assesses the challenges, opportunities, and issues together with e-government adoption criteria regarding successful encapsulation of e-government into the Zambian contextual environment. I propose a conceptual model which offers balanced e-government adoption criteria involving a combination of electronic and participatory services. This conceptual e-government adoption model can later be replicated to be used at the Southern African Development Community (SADC) level given the similarity in the contextual environment.

Using Problem-Based Learning to Enhance Team and Player Development in Youth Soccer

ERIC Educational Resources Information Center

Hubball, Harry; Robertson, Scott

2004-01-01

Problem-based learning (PBL) is a coaching and teaching methodology that develops knowledge, abilities, and skills. It also encourages participation, collaborative investigation, and the resolution of authentic, "ill-structured" problems through the use of problem definition, teamwork, communication, data collection, decision-making,…

The Principal and the Pear Tree.

ERIC Educational Resources Information Center

Hoyle, John R.

1991-01-01

School principals are in a difficult environment filled with stress and plagued by weak support. Most principals are unprepared for site-based decision making. University professors must take the initiative to use the emerging knowledge base and develop professional studies degree and staff development programs to prepare principals. (24…

The Adolescent Smoking and Health Project.

ERIC Educational Resources Information Center

Sutherland, Mary; And Others

This project was designed to specifically apply a health planning management system to a school based health education risk reduction program. Additionally, the Adolescent Smoking and Alcohol Project assisted youth in making informed decisions about the use/abuse of alcohol and cigarettes. Program components included a related knowledge base;…

Structurally Based Therapeutic Evaluation: A Therapeutic and Practical Approach to Teaching Medicinal Chemistry.

ERIC Educational Resources Information Center

Alsharif, Naser Z.; And Others

1997-01-01

Explains structurally based therapeutic evaluation of drugs, which uses seven therapeutic criteria in translating chemical and structural knowledge into therapeutic decision making in pharmaceutical care. In a Creighton University (Nebraska) medicinal chemistry course, students apply the approach to solve patient-related therapeutic problems in…

[Knowledge of the disease and the advance directives in patients with HIV infection].

PubMed

Miró, Glòria; Pedrol, Enric; Soler, Anna; Serra-Prat, Mateu; Yébenes, Joan Carles; Martínez, Rafael; Capdevila, Josep Antón

2006-04-22

Advanced directives documents (ADD), allow respect and know patient's intentions in health matters, when they are not able by themselves, for decision making. The aim of this study is making a valoration of the knowledgment of this documents in human immunodeficiency virus (HIV) infected patients, as well as their own knowledgment about this patology and possible complications. HIV infected patients controlled in 2 centers (Hospital de Mataró and Hospital de Granollers). Plained interview as a questinonary, that permits evaluate: own knowledge of the patology, received medical information level of satisfaction, patient s medical decision making involving desire, aptitudes in front of different hypothetical health status, and ADD knowledge. Factors associated to both knowledges (patology and ADD) are also evaluated. 74.3% of the interviewed patients, showed a good patology knowledge. This result was associated with: youth, less functional level according to Karnofsky's scale, subjective perception on severity, previous admission at an intensive care unit, chronic hepatopathy, and previous parenteral drugs addiction. In the same way was associated with the negative to depend of mechanical ventilation or another people, and not being uncomfortable talking about this subjects. ADD's knowledge was relationated with the fact of being female (42.0% vs 26.8%; p = 0.024), higher academic formation (55.1% vs 25.5%; p < 0.001) and belief that medical decision making must be done by themselves (78.3% vs 53.6%; p = 0.002). Patology understanding and its complications, may be considered optimal in HIV population. One third of this group, has a good knowledge of ADDs, and is directly relationated with female sex, academic level, and clinical decisions making implication by the patients.

The Hidden Dimension of Strategic Planning: Explorations in the Formation of Perspectives

DTIC Science & Technology

1991-09-01

13 2. Laws--Or Points Of Reference?.........18 B. THE HORIZONTAL LEVEL OF DECISION - MAKING . . . . 23 1. KNOWLEDGE, RATIONALITY , AND... decision - making is a horizontal level ranging from logic and rationalism to subjective emotionalism. This is the dimension of decision - making with which...the process of decision - making . The basis of game theory is the dual premises of rationality and maximization of utility.6 "It [game theory] is

Experience as knowledge: Disability, distillation and (reprogenetic) decision-making.

PubMed

Boardman, Felicity K

2017-10-01

'Experiential knowledge' is increasingly recognised as an important influence on reproductive decision-making. 'Experiential knowledge of disability' in particular is a significant resource within prenatal testing/screening contexts, enabling prospective parents to imagine and appraise future lives affected by disability. However, the concept of 'experiential knowledge' has been widely critiqued for its idiosyncrasy, its impermanence and consequently its perceived inferiority to (medical) knowledge. This paper explores some of these key critiques of experiential knowledge through an analysis of its constitution and uses in the context of reproductive decision-making. Seventeen UK-resident women with Spinal Muscular Atrophy (SMA), or with SMA in their family, took part in two in-depth interviews: one in 2007-9 and the other in 2013-4. By comparing and contrasting these women's accounts at two time points, this paper demonstrates the stark contrast between 'lived experience' of SMA (the visceral everyday realities of life with the condition) and the various way(s) this experience was transformed into, and presented as, 'knowledge' through the processes of making, and accounting, for reproductive decisions. The analysis highlights that multiple, distinct and sometimes competing experiential frameworks are used to conceptualise SMA across time and context. However, rather than evidence of its fallibility, this finding highlights that 'knowledge' is an inappropriate vessel with which to capture and transfer 'experiential knowledge'. Rather, we need to consider how to value such insight in ways that harnesses its inherent strength without leaving it vulnerable to the epistemological critiques attracted by labelling it 'knowledge'. Copyright © 2017 The Author. Published by Elsevier Ltd.. All rights reserved.

Integrating Socio-Scientific Issues to Enhance the Bioethical Decision-Making Skills of High School Students

ERIC Educational Resources Information Center

Gutierez, Sally B.

2015-01-01

Scientific literacy has been focused on the construction of students' knowledge to use appropriate and meaningful concepts, critically think, and make balanced, well-informed decisions relevant to their lives. This study presents the effects of integrating socio-scientific issues to enhance the bioethical decision-making skills of biology…

Patients' need for information provision and perceived participation in decision making in doctor-patient consultation: Micro-cultural differences between French- and Italian-speaking Switzerland.

PubMed

Camerini, Anne-Linda; Schulz, Peter J

2016-03-01

To explore micro-cultural differences in patients' need for information provision, perceived participation in decision making, and related concepts during the doctor-patient consultation between French- and Italian-speaking patients in Switzerland. In 2012, 153 French- and 120 Italian-speaking patients with chronic low back pain (cLBP) were surveyed on their need for information provision, perceived participation in decision making, cLBP knowledge, psychological empowerment, and trust in their doctor. T-tests and regression analyses with interaction terms were performed. Results show that French- and Italian-speaking patients significantly differed in their participation in decision making, with French-speaking patients reporting higher involvement. Need for information provision was related to empowerment among French- and to trust among Italian-speaking patients. For participation in decision making, trust was the only related concept among French-, and cLBP knowledge among Italian-speaking patients. Significant interaction terms indicate a moderation of micro-cultural background. Findings point towards differences in the relationships between individual patient characteristics (i.e. knowledge, empowerment) and relational doctor-patient characteristics (i.e. trust) and patients' need for information provision and participation in decision making between French- and Italian-speaking patients in Switzerland. Doctors should be aware of these differences when dealing with patients of different micro-cultural backgrounds. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

How does the knowledge environment shape procurement practices for orthopaedic medical devices in Mexico?

PubMed

Lingg, Myriam; Wyss, Kaspar; Durán-Arenas, Luis

2016-07-08

In organisational theory there is an assumption that knowledge is used effectively in healthcare systems that perform well. Actors in healthcare systems focus on managing knowledge of clinical processes like, for example, clinical decision-making to improve patient care. We know little about connecting that knowledge to administrative processes like high-risk medical device procurement. We analysed knowledge-related factors that influence procurement and clinical procedures for orthopaedic medical devices in Mexico. We based our qualitative study on 48 semi-structured interviews with various stakeholders in Mexico: orthopaedic specialists, government officials, and social security system managers or administrators. We took a knowledge-management related perspective (i) to analyse factors of managing knowledge of clinical procedures, (ii) to assess the role of this knowledge and in relation to procurement of orthopaedic medical devices, and (iii) to determine how to improve the situation. The results of this study are primarily relevant for Mexico but may also give impulsion to other health systems with highly standardized procurement practices. We found that knowledge of clinical procedures in orthopaedics is generated inconsistently and not always efficiently managed. Its support for procuring orthopaedic medical devices is insufficient. Identified deficiencies: leaders who lack guidance and direction and thus use knowledge poorly; failure to share knowledge; insufficiently defined formal structures and processes for collecting information and making it available to actors of health system; lack of strategies to benefit from synergies created by information and knowledge exchange. Many factors are related directly or indirectly to technological aspects, which are insufficiently developed. The content of this manuscript is novel as it analyses knowledge-related factors that influence procurement of orthopaedic medical devices in Mexico. Based on our results we recommend that the procurement mechanism should integrate knowledge from clinical procedures adequately in their decision-making. Without strong guidance, organisational changes, and support by technological solutions to improve the generation and management of knowledge, procurement processes for orthopaedic high-risk medical devices will remain sub-optimal.

Automating the design of scientific computing software

NASA Technical Reports Server (NTRS)

Kant, Elaine

1992-01-01

SINAPSE is a domain-specific software design system that generates code from specifications of equations and algorithm methods. This paper describes the system's design techniques (planning in a space of knowledge-based refinement and optimization rules), user interaction style (user has option to control decision making), and representation of knowledge (rules and objects). It also summarizes how the system knowledge has evolved over time and suggests some issues in building software design systems to facilitate reuse.

Expert systems in civil engineering

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

Kostem, C.N.; Maher, M.L.

1986-01-01

This book presents the papers given at a symposium on expert systems in civil engineering. Topics considered at the symposium included problem solving using expert system techniques, construction schedule analysis, decision making and risk analysis, seismic risk analysis systems, an expert system for inactive hazardous waste site characterization, an expert system for site selection, knowledge engineering, and knowledge-based expert systems in seismic analysis.

Teacher Change during Induction: Development of Beginning Primary Teachers' Knowledge, Beliefs and Performance

ERIC Educational Resources Information Center

Blömeke, Sigrid; Hoth, Jessica; Döhrmann, Martina; Busse, Andreas; Kaiser, Gabriele; König, Johannes

2015-01-01

Beginning primary teachers' knowledge and beliefs were assessed at the end of teacher education and 4 years later. In addition, they reported about their school context and job satisfaction and took a video-based assessment on their perception, interpretation, and decision-making skills. Research questions were (1) whether we have to deal with a…

Relations between Mathematical Knowledge for Teaching, Mathematics Instructional Quality, and Student Achievement in the Context of the "Responsive Classroom (RC)" Approach

ERIC Educational Resources Information Center

Ottmar, Erin R.; Rimm-Kaufman, Sara E.; Larsen, Ross; Merritt, Eileen G.

2011-01-01

Despite over thirty years of theoretically based research investigating "how" teacher mathematical knowledge and instructional practice relate to student learning, it is still largely unclear how these constructs are related, and policy makers and practitioners are still situated in a context with insufficient data to make decisions. Thus, there…

"Knowledge" in English Primary Schools' Decision-Making about Sex and Relationships Education

ERIC Educational Resources Information Center

Wilder, Rachel

2018-01-01

Objective: To assess what kinds of knowledge policymakers in a sample of English primary schools utilised to make decisions about their school's sex and relationships education policy. Method: Semi-structured interviews were conducted with policymakers at three primary schools in the southwest of England, and documentary analysis of the schools'…

Teacher Knowledge about Technology Integration: An Examination of Inservice and Preservice Teachers' Instructional Decision-Making

ERIC Educational Resources Information Center

Greenhow, Christine; Dexter, Sara; Hughes, Joan E.

2008-01-01

This study compared the abilities of inservice and preservice teachers to demonstrate an understanding of technology integration and to apply such knowledge to instructional decision-making. Using a set of online content-specific multimedia scenarios to resolve complex problems of teaching with technology in a simulated school environment,…

Teachers as Decision-Makers.

ERIC Educational Resources Information Center

Shedd, Joseph B.; And Others

Scholars working from various perspectives are beginning to define teaching as a decision-making process. Research shows that teachers are reflective and connect knowledge to situations through observation, understanding, analysis, interpretation, and decision-making. This paper provides empirical evidence to show the relationship of…

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.

Integrating Indigenous Traditional, Local and Scientific Knowledge for Improved Management, Policy and Decision-Making in Reindeer Husbandry in the Russian Arctic

NASA Technical Reports Server (NTRS)

Maynard, Nancy G.; Yurchak, Boris; Turi, Johan Mathis; Mathiesen, Svein D.; Aissi-Wespi, Rita L.

2004-01-01

As scientists and policy-makers from both indigenous and non-indigenous communities begin to build closer partnerships to address common sustainability issues such as the health impacts of climate change and anthropogenic activities, it becomes increasingly important to create shared information management systems which integrate all relevant factors for optimal information sharing and decision-making. This paper describes a new GIs-based system being designed to bring local and indigenous traditional knowledge together with scientific data and information, remote sensing, and information technologies to address health-related environment, weather, climate, pollution and land use change issues for improved decision/policy-making for reindeer husbandry. The system is building an easily-accessible archive of relevant current and historical, traditional, local and remotely-sensed and other data and observations for shared analysis, measuring, and monitoring parameters of interest. Protection of indigenous culturally sensitive information will be respected through appropriate data protocols. A mechanism which enables easy information sharing among all participants, which is real time and geo-referenced and which allows interconnectivity with remote sites is also being designed into the system for maximum communication among partners. A preliminary version of our system will be described for a Russian reindeer test site, which will include a combination of indigenous knowledge about local conditions and issues, remote sensing and ground-based data on such parameters as the vegetation state and distribution, snow cover, temperature, ice condition, and infrastructure.

Consumer health plan choice: current knowledge and future directions.

PubMed

Scanlon, D P; Chernew, M; Lave, J R

1997-01-01

A keystone of the competitive strategy in health insurance markets is the assumption that "consumers" can make informed choices based on the costs and quality of competing health plans, and that selection effects are not large. However, little is known about how individuals use information other than price in the decision making process. This review summarizes the state of knowledge about how individuals make choices among health plans and outlines an agenda for future research. We find that the existing literature on health plan choice is no longer sufficient given the widespread growth and acceptance of managed care, and the increased proportion of consumers' income now going toward the purchase of health plans. Instead, today's environment of health plan choice requires better understanding of how plan attributes other than price influence plan choice, how other variables such as health status interact with plan attributes in the decision making process, and how specific populations differ from one another in terms of the sensitivity of their health plan choices to these different types of variables.

New integrated and multiscale decision-aiding framework in a context of imperfect information: application to the assessment of torrent checkdams' effectiveness.

NASA Astrophysics Data System (ADS)

Tacnet, Jean-Marc; Carladous, Simon; Dezert, Jean; Batton-Hubert, Mireille

2017-04-01

Mountain natural phenomena (e.g. torrential floods) put people and buildings at risk. Civil engineering protection works such as torrent check-dams are designed to mitigate those natural risks. Protection works act on both causes and effects of phenomena to reduce consequences and therefore risks. For instance, check-dams control sediment production and liquid/solid flow of torrential floods: several series of dams are located in the headwaters of a watershed, each having specific functions. All those works are damaged by time passing and flood impacts. Effectiveness assessment is needed to define, compare or choose strategies for investment and maintenance which are essential issues in risk management process. Decision support tools are expected to analyze at different scales both their technical effectiveness (related to their structural state and functional effects on phenomena such as stopping, braking, guiding, etc.) and their economic efficiency through comparison between benefits and costs. Several methods, often based on expert knowledge, have already been developed to care about decision under risk. But uncertainty has also to be considered, since decisions are indeed often taken in a context of lack of information and knowledge on natural phenomena, heterogeneity of available information and, finally, reliability of sources. First methods derived from classical industrial contexts, such as dependability analysis, are used to formalize expert knowledge used for decision-making. After having defined the concept of effectiveness, dependability analysis are used to identify decision contexts and problems: criteria and indicators are identified in relation with structural or functional features. Then, innovative and multi-scales multi-criteria decision-making methods (MCDMs) and frameworks are proposed to help assessing protection works effectiveness. They combine classical MCDM approaches, belief function, fuzzy sets and possibility theories. Those methods allow to make decisions based on heterogeneous, imprecise and uncertain evaluation of criteria provided by more or less reliable sources in an uncertain context: COWA-ER (Cautious Ordered Weighted Averaging with Evidential Reasoning), Fuzzy-Cautious OWA or ER-MCDA (Evidential Reasoning for Multi Criteria Decision Analysis) are thus applied to several scales of torrent check-dams' effectiveness assessment. Those methods are then improved for a better knowledge representation and final decision. Enhanced methods are then associated together. Finally, individual problems and associated methods are integrated in a generic methodology to move from torrential protective single measure effectiveness assessment to complete protection systems at watershed scale.

Use of a web-based survey to facilitate shared decision making for patients eligible for cancer screening.

PubMed

Brackett, Charles D; Kearing, Stephen

2015-04-01

Our aim was to facilitate shared decision making (SDM) during preventive visits by utilizing a web-based survey system to offer colorectal cancer (CRC) and prostate cancer screening decision aids (DAs) to appropriately identified patients prior to the visit. Patients completed a web-based questionnaire before their preventive medicine appointment. Age- and gender-appropriate patients completed additional questions to determine eligibility for CRC or prostate-specific antigen (PSA) screening. Eligible patients were offered a choice of video or print DA, and completed questions assessing their knowledge, values, and preferences regarding the screening decision. Responses were summarized and fed forward to clinician and patient reports. Overall, 11,493 CRC and 4,384 PSA questionnaires were completed. Patient responses were used to identify those eligible for cancer-screening DAs: 2,187 (19 %) for CRC and 2,962 (68 %) for PSA; 15 % of eligible patients requested a DA. Many patients declined a DA because they indicated they "already know enough to make their decision" (34 % for CRC, 46 % for PSA). A web-based questionnaire provides an efficient means to identify patients eligible for cancer screening decisions and to offer them DAs before an appointment. Pre-visit use of DAs along with reports giving feedback to patients and clinicians provides an opportunity for SDM to occur at the visit.

The Use of Simulation and Cases to Teach Real World Decision Making: Applied Example for Health Care Management Graduate Programs

ERIC Educational Resources Information Center

Eisenhardt, Alyson; Ninassi, Susanne Bruno

2016-01-01

Many pedagogy experts suggest the use of real world scenarios and simulations as a means of teaching students to apply decision analysis concepts to their field of study. These methods allow students an opportunity to synthesize knowledge, skills, and abilities by presenting a field-based dilemma. The use of real world scenarios and simulations…

Research directions in large scale systems and decentralized control

NASA Technical Reports Server (NTRS)

Tenney, R. R.

1980-01-01

Control theory provides a well established framework for dealing with automatic decision problems and a set of techniques for automatic decision making which exploit special structure, but it does not deal well with complexity. The potential exists for combining control theoretic and knowledge based concepts into a unified approach. The elements of control theory are diagrammed, including modern control and large scale systems.

Repeated causal decision making.

PubMed

Hagmayer, York; Meder, Björn

2013-01-01

Many of our decisions refer to actions that have a causal impact on the external environment. Such actions may not only allow for the mere learning of expected values or utilities but also for acquiring knowledge about the causal structure of our world. We used a repeated decision-making paradigm to examine what kind of knowledge people acquire in such situations and how they use their knowledge to adapt to changes in the decision context. Our studies show that decision makers' behavior is strongly contingent on their causal beliefs and that people exploit their causal knowledge to assess the consequences of changes in the decision problem. A high consistency between hypotheses about causal structure, causally expected values, and actual choices was observed. The experiments show that (a) existing causal hypotheses guide the interpretation of decision feedback, (b) consequences of decisions are used to revise existing causal beliefs, and (c) decision makers use the experienced feedback to induce a causal model of the choice situation even when they have no initial causal hypotheses, which (d) enables them to adapt their choices to changes of the decision problem. (PsycINFO Database Record (c) 2013 APA, all rights reserved).

An official multi-society statement: the role of clinical research results in the practice of critical care medicine.

PubMed

Tonelli, Mark R; Curtis, J Randall; Guntupalli, Kalpalatha K; Rubenfeld, Gordon D; Arroliga, Alejandro C; Brochard, Laurent; Douglas, Ivor S; Gutterman, David D; Hall, Jesse R; Kavanagh, Brian P; Mancebo, Jordi; Misak, Cheryl J; Simpson, Steven Q; Slutsky, Arthur S; Suffredini, Anthony F; Thompson, B Taylor; Ware, Lorraine B; Wheeler, Arthur P; Levy, Mitchell M

2012-05-15

While the results of clinical research are clearly valuable in the care of critically ill patients, the limitations of such information and the role of other forms of medical knowledge for clinical decision making have not been carefully examined. The leadership of three large professional societies representing critical care practitioners convened a diverse group representing a wide variety of views regarding the role of clinical research results in clinical practice to develop a document to serve as a basis for agreement and a framework for ongoing discussion. Consensus was reached on several issues. While the results of rigorous clinical research are important in arriving at the best course of action for an individual critically ill patient, other forms of medical knowledge, including clinical experience and pathophysiologic reasoning, remain essential. No single source of knowledge is sufficient to guide clinical decisions, nor does one kind of knowledge always take precedence over others. Clinicians will find clinical research compelling for a variety of reasons that go beyond study design. While clinical practice guidelines and protocols based upon clinical research may improve care and decrease variability in practice, clinicians must be able to understand and articulate the rationale as to why a particular protocol or guideline is used or why an alternative approach is taken. Making this clinical reasoning explicit is necessary to understand practice variability. Understanding the strengths and weaknesses of different kinds of medical knowledge for clinical decision making and factors beyond study design that make clinical research compelling to clinicians can provide a framework for understanding the role of clinical research in practice.

Achieving conservation science that bridges the knowledge-action boundary.

PubMed

Cook, Carly N; Mascia, Michael B; Schwartz, Mark W; Possingham, Hugh P; Fuller, Richard A

2013-08-01

There are many barriers to using science to inform conservation policy and practice. Conservation scientists wishing to produce management-relevant science must balance this goal with the imperative of demonstrating novelty and rigor in their science. Decision makers seeking to make evidence-based decisions must balance a desire for knowledge with the need to act despite uncertainty. Generating science that will effectively inform management decisions requires that the production of information (the components of knowledge) be salient (relevant and timely), credible (authoritative, believable, and trusted), and legitimate (developed via a process that considers the values and perspectives of all relevant actors) in the eyes of both researchers and decision makers. We perceive 3 key challenges for those hoping to generate conservation science that achieves all 3 of these information characteristics. First, scientific and management audiences can have contrasting perceptions about the salience of research. Second, the pursuit of scientific credibility can come at the cost of salience and legitimacy in the eyes of decision makers, and, third, different actors can have conflicting views about what constitutes legitimate information. We highlight 4 institutional frameworks that can facilitate science that will inform management: boundary organizations (environmental organizations that span the boundary between science and management), research scientists embedded in resource management agencies, formal links between decision makers and scientists at research-focused institutions, and training programs for conservation professionals. Although these are not the only approaches to generating boundary-spanning science, nor are they mutually exclusive, they provide mechanisms for promoting communication, translation, and mediation across the knowledge-action boundary. We believe that despite the challenges, conservation science should strive to be a boundary science, which both advances scientific understanding and contributes to decision making. © 2013 Society for Conservation Biology.

Evaluating postdoctoral dental candidates: assessing the need and recommendations for a national qualifying examination.

PubMed

Brodie, Abby J; Crow, Heidi C; Eber, Robert M; Handysides, Robert; Holexa, Roy; Kiat-amnuay, Sudarat; Spallek, Heiko

2011-06-01

Increasingly, U.S. dental schools report pass/fail grades and do not rank students. In addition, the Joint Commission on National Dental Examinations will report National Board Dental Examination (NBDE) scores as pass/fail after January 1, 2012. This article discusses how these changes will force postdoctoral dental program directors to modify how they assess candidates and how noncognitive evaluations might enhance those assessments. The authors propose developing a national qualifying examination for postdoctoral dental programs that will measure knowledge, decision making, and noncognitive traits including empathy, self-confidence, integrity, and emotional intelligence. Without NBDE scores, class rank, and GPA as a basis for decision making, a single national qualifying examination would assist postdoctoral programs in selecting high-quality candidates based on knowledge, critical thinking skills, and noncognitive traits.

Why bother with the brain? A role for decision neuroscience in understanding strategic variability.

PubMed

Venkatraman, Vinod

2013-01-01

Neuroscience, by its nature, seems to hold considerable promise for understanding the fundamental mechanisms of decision making. In recent years, several studies in the domain of "neuroeconomics" or "decision neuroscience" have provided important insights into brain function. Yet, the apparent success and value of each of these domains are frequently called into question by researchers in economics and behavioral decision making. Critics often charge that knowledge about the brain is unnecessary for understanding decision preferences. In this chapter, I contend that knowledge about underlying brain mechanisms helps in the development of biologically plausible models of behavior, which can then help elucidate the mechanisms underlying individual choice biases and strategic preferences. Using a novel risky choice paradigm, I will demonstrate that people vary in whether they adopt compensatory or noncompensatory rules in economic decision making. Importantly, neuroimaging studies using functional magnetic resonance imaging reveal that distinct neural mechanisms support variability in choices and variability in strategic preferences. Converging evidence from a study involving decisions between hypothetical stocks illustrates how knowledge about the underlying mechanisms can help inform neuroanatomical models of cognitive control. Last, I will demonstrate how knowledge about these underlying neural mechanisms can provide novel insights into the effects of decision states like sleep deprivation on decision preferences. Together, these findings suggest that neuroscience can play a critical role in creating robust and flexible models of real-world decision behavior. Copyright © 2013 Elsevier B.V. All rights reserved.

The roles of family members, health care workers, and others in decision-making processes about genetic testing among individuals at risk for Huntington disease.

PubMed

Klitzman, Robert; Thorne, Deborah; Williamson, Jennifer; Marder, Karen

2007-06-01

To understand how individuals at risk for Huntington disease view the roles of others, e.g., family members and health care workers, in decision making about genetic testing. Twenty-one individuals (eight mutation-positive, four mutation-negative, and nine not tested) were interviewed for approximately 2 hours each. Interviewees illuminated several key aspects of the roles of family members and health care workers (in genetics and other fields) in decision making about testing that have been underexplored. Family members often felt strongly about whether an individual should get tested. Health care workers provided information and assistance with decision making and mental health referrals that were often helpful. Yet health care workers varied in knowledge and sensitivity regarding testing issues, and the quality of counseling and testing experiences can range widely. At times, health care workers without specialized knowledge of Huntington disease offered opinions of whether to test. Input from families and health care workers could also conflict with each other and with an individual's own preferences. Larger institutional and geographic contexts shaped decisions as well. Decision-making theories applied to Huntington disease testing have frequently drawn on psychological models, yet the current data highlight the importance of social contexts and relationships in testing decisions. This report, the first to our knowledge to explore individuals' perceptions of social factors (particularly family and health care worker involvement) in Huntington disease testing decisions, has critical implications for practice, education, research, and policy.

Decision-making by experienced rugby referees: use of perceptual information and episodic memory.

PubMed

MacMahon, Clare; Ste-Marie, Diane M

2002-10-01

The expertise paradigm was used in two studies to examine decision-making by rugby referees. Videoclips were used to assess infraction detection and knowledge base, or sources of information used. In Study 1, referees of high and low experience were compared, and in Study 2 referees and players were compared. Analysis by signal detection used a framework to classify types of information. Study 1 yielded no differences in detection of infractions as a function of experience, however, referees of high experience used significantly more sources of information than the group with low experience across all categories of information. In Study 2, there were no significant differences between referees and players, with the exception that referees displayed greater use of episodic memory information in decision-making.

The use of cognitive continuum theory and patient scenarios to explore nurse prescribers' pharmacological knowledge and decision-making.

PubMed

Offredy, Maxine; Kendall, Sally; Goodman, Claire

2008-06-01

Nurses have been involved in prescribing in England since 1996, and to date over 41,000 nurses are registered with the Nursing and Midwifery Council as prescribers. The majority of evaluative research on nurse prescribing is descriptive and relies on self-report and assessment of patient satisfaction. To explore and test nurse prescribers' pharmacological knowledge and decision-making. An exploratory approach to test the usefulness of patient scenarios in addressing the reasons why nurses decide whether or not to prescribe was utilised. Semi-structured interviews with nurse prescribers using patient scenarios were used as proxy methods of assessment of how nurses made their prescribing decisions. Two primary care trusts in the southeast of England were the settings for this study. Purposive sampling to ensure there was a mixed group of prescribers was used to enable detailed exploration of the research objectives and to obtain in-depth understanding of the complex activities involved in nurse prescribing. Interviews and case scenarios. The use of cognitive continuum theory guided the analysis. The majority of participants were unable to identify the issues involved in all the scenarios; they also failed to provide an acceptable solution to the problem, suggesting that they would refer the patient to the general practitioner. A similar number described themselves as 'very confident' while seven participants felt that they were 'not confident' in dealing with medication issues, four of whom were practising prescribing. The effects of social and institutional factors are important in the decision-making process. The lack of appropriate pharmacological knowledge coupled with lack of confidence in prescribing was demonstrated. The scenarios used in this study indicate that nurses are perhaps knowledgeable in their small area of practise but flounder outside this. Further research could be conducted with a larger sample and with more scenarios to explore the decision-making and the pharmacological knowledge base of nurse prescribers, particularly in the light of government policy to extend prescribing rights to non-medical prescribers, including pharmacists.

Knowledge Style Profiling: An Exploration of Cognitive, Temperament, Demographic and Organizational Characteristics among Decision Makers Using Advanced Analytical Technologies

ERIC Educational Resources Information Center

Polito, Vincent A., Jr.

2010-01-01

The objective of this research was to explore the possibilities of identifying knowledge style factors that could be used as central elements of a professional business analyst's (PBA) performance attributes at work for those decision makers that use advanced analytical technologies on decision making tasks. Indicators of knowledge style were…

'They have to show that they can make it': vitality as a criterion for the prognosis of premature infants.

PubMed

Brinchmann, B S

2000-03-01

In this article, the vitality of premature infants will be described and discussed. Vitality was one of the main factors in a grounded theory study in which the aim was to generate knowledge concerning the ethical decision-making processes with which nurses and physicians are faced in a neonatal unit. Which assessments underlie decisions about whether to start, continue or stop medical treatment of very sick premature babies? A descriptive study design, including 120 hours of field observations and 22 qualitative in-depth interviews with doctors and nurses, was chosen. Strauss and Glaser's comparative method was used to analyse the field observations and interviews. The findings indicate that life-and-death decisions are somewhat ambivalent; experience does not always make them easier. In situations of ambiguity, decisions also seem to be based upon the vitality of the babies concerned.

The adaptive use of recognition in group decision making.

PubMed

Kämmer, Juliane E; Gaissmaier, Wolfgang; Reimer, Torsten; Schermuly, Carsten C

2014-06-01

Applying the framework of ecological rationality, the authors studied the adaptivity of group decision making. In detail, they investigated whether groups apply decision strategies conditional on their composition in terms of task-relevant features. The authors focused on the recognition heuristic, so the task-relevant features were the validity of the group members' recognition and knowledge, which influenced the potential performance of group strategies. Forty-three three-member groups performed an inference task in which they had to infer which of two German companies had the higher market capitalization. Results based on the choice data support the hypothesis that groups adaptively apply the strategy that leads to the highest theoretically achievable performance. Time constraints had no effect on strategy use but did have an effect on the proportions of different types of arguments. Possible mechanisms underlying the adaptive use of recognition in group decision making are discussed. © 2014 Cognitive Science Society, Inc.

The role of the internet on patient knowledge management, education, and decision-making.

PubMed

Ilic, Dragan

2010-01-01

E-health encompasses a broad range of health disciplines that use the Internet and associated technologies to deliver information and health services. Traditionally, patients have relied on the healthcare professional to provide relevant medical information to inform decision making on diagnosis and therapy. Patient education in the past has consisted of independently collated health information, disseminated predominantly in written and video formats. Greater accessibility to the Internet has provides a novel method for patients to access health information and play a greater role in decisions ultimately affecting their health. However, patients' ability to access, understand, and integrate this knowledge with their healthcare professional influences the extent to which such technologies are effective. This article provides an overview of the impact of the Internet on patient knowledge management, education, and its subsequent impact upon the medical decision-making process between the patient and clinician.

Developpement energetique par modelisation et intelligence territoriale: Un outil de prise de decision participative pour le developpement durable des projets eoliens

NASA Astrophysics Data System (ADS)

Vazquez Rascon, Maria de Lourdes

This thesis focuses on the implementation of a participatory and transparent decision making tool about the wind farm projects. This tool is based on an (argumentative) framework that reflects the stakeholder's values systems involved in these projects and it employs two multicriteria methods: the multicriteria decision aide and the participatory geographical information systems, making it possible to represent this value systems by criteria and indicators to be evaluated. The stakeholder's values systems will allow the inclusion of environmental, economic and social-cultural aspects of wind energy projects and, thus, a sustainable development wind projects vision. This vision will be analyzed using the 16 sustainable principles included in the Quebec's Sustainable Development Act. Four specific objectives have been instrumented to favor a logical completion work, and to ensure the development of a successfultool : designing a methodology to couple the MCDA and participatory GIS, testing the developed methodology by a case study, making a robustness analysis to address strategic issues and analyzing the strengths, weaknesses, opportunities and threads of the developed methodology. Achieving the first goal allowed us to obtain a decision-making tool called Territorial Intelligence Modeling for Energy Development (TIMED approach). The TIMED approach is visually represented by a figure expressing the idea of a co-construction decision and where ail stakeholders are the focus of this methodology. TIMED is composed of four modules: Multi-Criteria decision analysis, participatory geographic Information systems, active involvement of the stakeholders and scientific knowledge/local knowledge. The integration of these four modules allows for the analysis of different implementation scenarios of wind turbines in order to choose the best one based on a participatory and transparent decision-making process that takes into account stakeholders' concerns. The second objective enabled the testing of TIMED in an ex-post experience of a wind farm in operation since 2006. In this test, II people participated representing four stakeholder' categories: the private sector, the public sector, experts and civil society. This test allowed us to analyze the current situation in which wind projects are currently developed in Quebec. The concerns of some stakeholders regarding situations that are not considered in the current context were explored through a third goal. This third objective allowed us to make simulations taking into account the assumptions of strategic levels. Examples of the strategic level are the communication tools used to approach the host community and the park property type. Finally, the fourth objective, a SWOT analysis with the participation of eight experts, allowed us to verify the extent to which TIMED approach succeeded in constructing four fields for participatory decision-making: physical, intellectual, emotional and procedural. From these facts, 116 strengths, 28 weaknesses, 32 constraints and 54 opportunities were identified. Contributions, applications, limitations and extensions of this research are based on giving a participatory decision-making methodology taking into account socio-cultural, environmental and economic variables; making reflection sessions on a wind farm in operation; acquiring MCDA knowledge for participants involved in testing the proposed methodology; taking into account the physical, intellectual, emotional and procedural spaces to al1iculate a participatory decision; using the proposed methodology in renewable energy sources other than wind; the need to an interdisciplinary team for the methodology application; access to quality data; access to information technologies; the right to public participation; the neutrality of experts; the relationships between experts and non-experts; cultural constraints; improvement of designed indicators; the implementation of a Web platform for participatory decision-making and writing a manual on the use of the developed methodology. Keywords: wind farm, multicriteria decision, geographic information systems, TIMED approach, sustainable wind energy projects development, renewable energy, social participation, robustness concern, SWOT analysis.

[Evidence-based aspects of clinical mastitis treatment].

PubMed

Mansion-de Vries, E M; Hoedemaker, M; Krömker, V

2015-01-01

Mastitis is one of the most common and expensive diseases in dairy cattle. The decision to treat clinical mastitis is usually made without any knowledge of the etiology, and can therefore only be evidence-based to a limited extent. Evidence-based medicine relies essentially on a combination of one's own clinical competence and scientific findings. In mastitis therapy, those insights depend mostly on pathogen-specific factors. Therefore, in evidence-based therapeutic decision making the pathogen identification should serve as a basis for the consideration of scientifically validated therapeutic concepts. The present paper considers evidence-based treatment of clinical mastitis based on a literature review. The authors conclude that an anti-inflammatory treatment using an NSAID should be conducted regardless of the pathogen. However, the choice of an antibiotic therapy depends on the mastitis causative pathogen, clinical symptoms and the animal itself. In principle, a local antibiotic treatment should be chosen for mild and moderate mastitis. It should be noted, that the benefit of an antibiotic therapy for coliform infections is questionable. With knowledge concerning the pathogen, it appears entirely reasonable to refrain from an antibiotic therapy. For severe (i.   e. feverish) mastitis, a parenteral antibiotic therapy should be selected. An extension of the antibiotic therapy beyond the manufacturer's information is only reasonable for streptococcal infections. It is important to make the decision on a prolonged antibiotic therapy only with the knowledge of the mastitis-causative pathogen. In terms of the therapy of a staphylococcus or streptococcus infection, a narrow-spectrum antibiotic from the penicillin family should be adopted when selecting the active agents.

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.

Learning How to Think

ERIC Educational Resources Information Center

Deming, John C.; Cracolice, Mark S.

2004-01-01

Teaching strategies are becoming increasingly oriented toward guiding students' knowledge construction through cooperative learning. Enhancing students' cognitive development is a priority; students must "learn how to think." Inquiry instruction provides students with tools to make decisions based upon available evidence and an opportunity to…

Systems Operation Studies for Automated Guideway Transit Systems : Summary Report

DOT National Transportation Integrated Search

1980-02-01

In order to examine specific Automated Guideway Transit (AGT) developments and concepts and to build a better knowledge base for future decision-making, UMTA has undertaken a new program of studies and technology investigations called the Urban Mass ...

A Simplified Version of the Fuzzy Decision Method and its Comparison with the Paraconsistent Decision Method

NASA Astrophysics Data System (ADS)

de Carvalho, Fábio Romeu; Abe, Jair Minoro

2010-11-01

Two recent non-classical logics have been used to make decision: fuzzy logic and paraconsistent annotated evidential logic Et. In this paper we present a simplified version of the fuzzy decision method and its comparison with the paraconsistent one. Paraconsistent annotated evidential logic Et, introduced by Da Costa, Vago and Subrahmanian (1991), is capable of handling uncertain and contradictory data without becoming trivial. It has been used in many applications such as information technology, robotics, artificial intelligence, production engineering, decision making etc. Intuitively, one Et logic formula is type p(a, b), in which a and b belong to [0, 1] (real interval) and represent respectively the degree of favorable evidence (or degree of belief) and the degree of contrary evidence (or degree of disbelief) found in p. The set of all pairs (a; b), called annotations, when plotted, form the Cartesian Unitary Square (CUS). This set, containing a similar order relation of real number, comprises a network, called lattice of the annotations. Fuzzy logic was introduced by Zadeh (1965). It tries to systematize the knowledge study, searching mainly to study the fuzzy knowledge (you don't know what it means) and distinguish it from the imprecise one (you know what it means, but you don't know its exact value). This logic is similar to paraconsistent annotated one, since it attributes a numeric value (only one, not two values) to each proposition (then we can say that it is an one-valued logic). This number translates the intensity (the degree) with which the preposition is true. Let's X a set and A, a subset of X, identified by the function f(x). For each element x∈X, you have y = f(x)∈[0, 1]. The number y is called degree of pertinence of x in A. Decision making theories based on these logics have shown to be powerful in many aspects regarding more traditional methods, like the one based on Statistics. In this paper we present a first study for a simplified version of decision making theory based on Fuzzy Logic (SVMFD) and a comparison with the Paraconsistent Decision Method (PDM) based on Paraconsistent Annotated Evidential Logic Eτ, already presented and summarized in this paper. An example showing the two methods is presented in the paper, as well as a comparison between them.

Decision Support Systems for Launch and Range Operations Using Jess

NASA Technical Reports Server (NTRS)

Thirumalainambi, Rajkumar

2007-01-01

The virtual test bed for launch and range operations developed at NASA Ames Research Center consists of various independent expert systems advising on weather effects, toxic gas dispersions and human health risk assessment during space-flight operations. An individual dedicated server supports each expert system and the master system gather information from the dedicated servers to support the launch decision-making process. Since the test bed is based on the web system, reducing network traffic and optimizing the knowledge base is critical to its success of real-time or near real-time operations. Jess, a fast rule engine and powerful scripting environment developed at Sandia National Laboratory has been adopted to build the expert systems providing robustness and scalability. Jess also supports XML representation of knowledge base with forward and backward chaining inference mechanism. Facts added - to working memory during run-time operations facilitates analyses of multiple scenarios. Knowledge base can be distributed with one inference engine performing the inference process. This paper discusses details of the knowledge base and inference engine using Jess for a launch and range virtual test bed.

A Hyperknowledge Framework of Decision Support Systems.

ERIC Educational Resources Information Center

Chang, Ai-Mei; And Others

1994-01-01

Presents a hyperknowledge framework of decision support systems (DSS). This framework formalizes specifics about system functionality, representation of knowledge, navigation of the knowledge system, and user-interface traits as elements of a DSS environment that conforms closely to human cognitive processes in decision making. (Contains 52…

Decision Support and Shared Decision Making About Active Surveillance Versus Active Treatment Among Men Diagnosed with Low-Risk Prostate Cancer: a Pilot Study.

PubMed

Myers, Ronald E; Leader, Amy E; Censits, Jean Hoffman; Trabulsi, Edouard J; Keith, Scott W; Petrich, Anett M; Quinn, Anna M; Den, Robert B; Hurwitz, Mark D; Lallas, Costas D; Hegarty, Sarah E; Dicker, Adam P; Zeigler-Johnson, Charnita M; Giri, Veda N; Ayaz, Hasan; Gomella, Leonard G

2018-02-01

This study aimed to explore the effects of a decision support intervention (DSI) and shared decision making (SDM) on knowledge, perceptions about treatment, and treatment choice among men diagnosed with localized low-risk prostate cancer (PCa). At a multidisciplinary clinic visit, 30 consenting men with localized low-risk PCa completed a baseline survey, had a nurse-mediated online DS session to clarify preference for active surveillance (AS) or active treatment (AT), and met with clinicians for SDM. Participants also completed a follow-up survey at 30 days. We assessed change in treatment knowledge, decisional conflict, and perceptions and identified predictors of AS. At follow-up, participants exhibited increased knowledge (p < 0.001), decreased decisional conflict (p < 0.001), and more favorable perceptions of AS (p = 0.001). Furthermore, 25 of the 30 participants (83 %) initiated AS. Increased family and clinician support predicted this choice (p < 0.001). DSI/SDM prepared patients to make an informed decision. Perceived support of the decision facilitated patient choice of AS.

Using Content Acquisition Podcasts to Improve Teacher Candidate Knowledge of Curriculum-Based Measurement

ERIC Educational Resources Information Center

Kennedy, Michael J.; Wagner, Dana; Stegall, Joanna; Lembke, Erica; Miciak, Jeremy; Alves, Kat D.; Brown, Tiara; Driver, Melissa K.; Hirsch, Shanna Eisner

2016-01-01

Given the significant literature supporting the use of curriculum-based measurement (CBM) for data-based decision making, it is critical that teacher candidates learn about it prior to student teaching and entry into the field as full-time teachers. The authors of this study used a content acquisition podcast (CAP), a multimedia-based…

Children's Use of Meta-Cognition in Solving Everyday Problems: Children's Monetary Decision-Making

ERIC Educational Resources Information Center

Lee, Chwee Beng; Koh, Noi Keng; Cai, Xin Le; Quek, Choon Lang

2012-01-01

The purpose of this study was to understand how children use meta-cognition in their everyday problem-solving, particularly making monetary decisions. A particular focus was to identify components of meta-cognition, such as regulation of cognition and knowledge of cognition observed in children's monetary decision-making process, the roles of…

Evaluation of a Decision-Making Curriculum for Teaching Adolescents with Disabilities to Resist Negative Peer Pressure

ERIC Educational Resources Information Center

Khemka, Ishita; Hickson, Linda; Mallory, Sarah B.

2016-01-01

This study was designed to assess the impact of a decision-making curriculum (PEER-DM) on the social peer relationship knowledge and self-protective decision-making skills of adolescents with disabilities in hypothetical situations involving negative peer pressure. A randomized design was used to assign students with disabilities from…

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

The Mental Capacity Act: 'Best interests'-a review of the literature.

PubMed

Marshall, Helen; Sprung, Sally

2017-08-02

The Mental Capacity Act (MCA) is statutory legislation introduced in 2007 in order to provide a consistent, robust framework with the aim to protect and empower people to make decisions themselves. However, an assessment as per the MCA may demonstrate that a person is lacking mental capacity and therefore unable to make an autonomous decision at the time it needs to be made. In this case, a 'best interests' decision may be made on their behalf, ensuring their wishes and beliefs are at the centre of the decision-making process. When making a best interests decision, a health practitioner must follow the guidance as set out in the MCA legislation to ensure fair and consistent approaches to safeguard and provide assurance that the outcome is truly the best decision for the individual. This review of the literature supports the findings of a 2014 post-legislative review by the House of Lords, which concluded the principles of the MCA are not sufficiently embedded into the practice of all health practitioners, due to a lack of knowledge, awareness and understanding. However, the evidence base also appreciates making a decision on behalf of another person can be a stressful, complex and intricate process when further support may be required from the wider multidisciplinary team, including potentially seeking legal advice.

An Overview of Judgment and Decision Making Research Through the Lens of Fuzzy Trace Theory.

PubMed

Setton, Roni; Wilhelms, Evan; Weldon, Becky; Chick, Christina; Reyna, Valerie

2014-12-01

We present the basic tenets of fuzzy trace theory, a comprehensive theory of memory, judgment, and decision making that is grounded in research on how information is stored as knowledge, mentally represented, retrieved from storage, and processed. In doing so, we highlight how it is distinguished from traditional models of decision making in that gist reasoning plays a central role. The theory also distinguishes advanced intuition from primitive impulsivity. It predicts that different sorts of errors occur with respect to each component of judgment and decision making: background knowledge, representation, retrieval, and processing. Classic errors in the judgment and decision making literature, such as risky-choice framing and the conjunction fallacy, are accounted for by fuzzy trace theory and new results generated by the theory contradict traditional approaches. We also describe how developmental changes in brain and behavior offer crucial insight into adult cognitive processing. Research investigating brain and behavior in developing and special populations supports fuzzy trace theory's predictions about reliance on gist processing.

An Overview of Judgment and Decision Making Research Through the Lens of Fuzzy Trace Theory

PubMed Central

Setton, Roni; Wilhelms, Evan; Weldon, Becky; Chick, Christina; Reyna, Valerie

2017-01-01

We present the basic tenets of fuzzy trace theory, a comprehensive theory of memory, judgment, and decision making that is grounded in research on how information is stored as knowledge, mentally represented, retrieved from storage, and processed. In doing so, we highlight how it is distinguished from traditional models of decision making in that gist reasoning plays a central role. The theory also distinguishes advanced intuition from primitive impulsivity. It predicts that different sorts of errors occur with respect to each component of judgment and decision making: background knowledge, representation, retrieval, and processing. Classic errors in the judgment and decision making literature, such as risky-choice framing and the conjunction fallacy, are accounted for by fuzzy trace theory and new results generated by the theory contradict traditional approaches. We also describe how developmental changes in brain and behavior offer crucial insight into adult cognitive processing. Research investigating brain and behavior in developing and special populations supports fuzzy trace theory’s predictions about reliance on gist processing. PMID:28725239

Decision-Making Processes of SME in Cloud Computing Adoption to Create Disruptive Innovation: Mediating Effect of Collaboration

ERIC Educational Resources Information Center

Sonthiprasat, Rattanawadee

2014-01-01

THE PROBLEM. The purpose of this quantitative correlation study was to assess the relationship between different Cloud service levels of effective business innovation for SMEs. In addition, the new knowledge gained from the benefits of Cloud adoption with knowledge sharing would enhance the decision making process for businesses to consider the…

The Effect of Knowledge of Online Security Risks on Consumer Decision Making in B2C e-Commerce

ERIC Educational Resources Information Center

Wang, Ping An

2010-01-01

This dissertation research studied how different degrees of knowledge of online security risks affect B2C (business-to-consumer) e-commerce consumer decision making. Online information security risks, such as identity theft, have increasingly become a major factor inhibiting the potential growth of e-commerce. On the other hand, e-commerce…

Know the risk, take the win: how executive functions and probability processing influence advantageous decision making under risk conditions.

PubMed

Brand, Matthias; Schiebener, Johannes; Pertl, Marie-Theres; Delazer, Margarete

2014-01-01

Recent models on decision making under risk conditions have suggested that numerical abilities are important ingredients of advantageous decision-making performance, but empirical evidence is still limited. The results of our first study show that logical reasoning and basic mental calculation capacities predict ratio processing and that ratio processing predicts decision making under risk. In the second study, logical reasoning together with executive functions predicted probability processing (numeracy and probability knowledge), and probability processing predicted decision making under risk. These findings suggest that increasing an individual's understanding of ratios and probabilities should lead to more advantageous decisions under risk conditions.

Healthcare managers' decision making: findings of a small scale exploratory study.

PubMed

Macdonald, Jackie; Bath, Peter A; Booth, Andrew

2008-12-01

Managers who work in publicly funded healthcare organizations are an understudied group. Some of the influences on their decisions may be unique to healthcare. This study considers how to integrate research knowledge effectively into healthcare managers' decision making, and how to manage and integrate information that will include community data. This first phase in a two-phase mixed methods research study used a qualitative, multiple case studies design. Nineteen semi-structured interviews were undertaken using the critical incident technique. Interview transcripts were analysed using the NatCen Framework. One theme represented ;information and decisions'. Cases were determined to involve complex multi-level, multi-situational decisions with participants in practical rather than ceremonial work roles. Most considered organizational knowledge in the first two decision phases and external knowledge, including research, in the third phase. All participants engaged in satisficing to some degree.

Cardiopulmonary resuscitation decisions in the emergency department: An ethnography of tacit knowledge in practice.

PubMed

Brummell, Stephen P; Seymour, Jane; Higginbottom, Gina

2016-05-01

Despite media images to the contrary, cardiopulmonary resuscitation in emergency departments is often unsuccessful. The purpose of this ethnographic study was to explore how health care professionals working in two emergency departments in the UK, make decisions to commence, continue or stop resuscitation. Data collection involved participant observation of resuscitation attempts and in-depth interviews with nurses, medical staff and paramedics who had taken part in the attempts. Detailed case examples were constructed for comparative analysis. Findings show that emergency department staff use experience and acquired tacit knowledge to construct a typology of cardiac arrest categories that help them navigate decision making. Categorisation is based on 'less is more' heuristics which combine explicit and tacit knowledge to facilitate rapid decisions. Staff then work as a team to rapidly assimilate and interpret information drawn from observations of the patient's body and from technical, biomedical monitoring data. The meaning of technical data is negotiated during staff interaction. This analysis was informed by a theory of 'bodily' and 'technical' trajectory alignment that was first developed from an ethnography of death and dying in intensive care units. The categorisation of cardiac arrest situations and trajectory alignment are the means by which staff achieve consensus decisions and determine the point at which an attempt should be withdrawn. This enables them to construct an acceptable death in highly challenging circumstances. Copyright © 2016 Elsevier Ltd. All rights reserved.

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.

A qualitative study on community pharmacists' decision-making process when making a diagnosis.

PubMed

Sinopoulou, Vassiliki; Summerfield, Paul; Rutter, Paul

2017-12-01

Self-care policies are increasingly directing patients to seek advice from community pharmacists. This means pharmacists need to have sound diagnostic decision-making skills to enable them to recognise a variety of conditions. The aim of this study was to investigate the process by which pharmacists manage patient signs and symptoms and to explore their use of decision-making for diagnostic purposes. Data were collected through semi-structured, face-to-face interviews with community pharmacists working in England, between August 2013 and November 2014. Pharmacists were asked to share their experiences on how they performed patient consultations, and more specifically how they would approach a hypothetical headache scenario. As part of the interview, their sources of knowledge and experience were also explored. Framework analysis was used to identify themes and subthemes. Eight interviews were conducted with pharmacists who had a wide range of working practice, from 1 year through to 40 years of experience. The pharmacists' main motivations during consultations were product selection and risk minimisation. Their questioning approach and decision-making relied heavily on mnemonic methods. This led to poor quality information gathering-although pharmacists acknowledged they needed to "delve deeper" but were often unable to articulate how or why. Some pharmacists exhibited elements of clinical reasoning in their consultations, but this seemed, mostly, to be unconscious and subsequently applied inappropriately. Overall, pharmacists exhibited poor decision-making ability, and often decisions were based on personal belief and experiences rather than evidence. Community pharmacists relied heavily on mnemonic methods to manage patients' signs and symptoms with diagnosis-based decision-making being seldom employed. These findings suggest practicing pharmacists should receive more diagnostic training. © 2017 John Wiley & Sons, Ltd.

Interpatch foraging in honeybees-rational decision making at secondary hubs based upon time and motivation.

PubMed

Najera, Daniel A; McCullough, Erin L; Jander, Rudolf

2012-11-01

For honeybees, Apis mellifera, the hive has been well known to function as a primary decision-making hub, a place from which foragers decide among various directions, distances, and times of day to forage efficiently. Whether foraging honeybees can make similarly complex navigational decisions from locations away from the hive is unknown. To examine whether or not such secondary decision-making hubs exist, we trained bees to forage at four different locations. Specifically, we trained honeybees to first forage to a distal site "CT" 100 m away from the hive; if food was present, they fed and then chose to go home. If food was not present, the honeybees were trained to forage to three auxiliary sites, each at a different time of the day: A in the morning, B at noon, and C in the afternoon. The foragers learned to check site CT for food first and then efficiently depart to the correct location based upon the time of day if there was no food at site CT. Thus, the honeybees were able to cognitively map motivation, time, and five different locations (Hive, CT, A, B, and C) in two spatial dimensions; these are the contents of the cognitive map used by the honeybees here. While at site CT, we verified that the honeybees could choose between 4 different directions (to A, B, C, and the Hive) and thus label it as a secondary decision-making hub. The observed decision making uncovered here is inferred to constitute genuine logical operations, involving a branched structure, based upon the premises of motivational state, and spatiotemporal knowledge.

Decision-making process of Kala Azar care: results from a qualitative study carried out in disease endemic areas of Nepal

PubMed Central

2013-01-01

Background Analysis of consumer decision making in the health sector is a complex process of comparing feasible alternatives and evaluating the levels of satisfaction associated with the relevant options. This paper makes an attempt to understand how and why consumers make specific decisions, what motivates them to adopt a specific health intervention, and what features they find attractive in each of the options. Method The study used a descriptive-explanatory design to analyze the factors determining the choices of healthcare providers. Information was collected through focus group discussions and in-depth interviews. Results The results suggest that the decision making related to seeking healthcare for Kala Azar (KA) treatment is a complex, interactive process. Patients and family members follow a well-defined road map for decision making. The process of decision making starts from the recognition of healthcare needs and is then modified by a number of other factors, such as indigenous knowledge, healthcare alternatives, and available resources. Household and individual characteristics also play important roles in facilitating the process of decision making. The results from the group discussions and in-depth interviews are consistent with the idea that KA patients and family members follow the rational approach of weighing the costs against the benefits of using specific types of medical care. Conclusion The process of decision making related to seeking healthcare follows a complex set of steps and many of the potential factors affect the decision making in a non-linear fashion. Our analysis suggests that it is possible to derive a generalized road map of the decision-making process starting from the recognition of healthcare needs, and then modifying it to show the influences of indigenous knowledge, healthcare alternatives, and available resources. PMID:23849617

Decision-making process of Kala Azar care: results from a qualitative study carried out in disease endemic areas of Nepal.

PubMed

Adhikari, Shiva Raj; Supakankunti, Siripen; Khan, M Mahmud

2013-07-12

Analysis of consumer decision making in the health sector is a complex process of comparing feasible alternatives and evaluating the levels of satisfaction associated with the relevant options. This paper makes an attempt to understand how and why consumers make specific decisions, what motivates them to adopt a specific health intervention, and what features they find attractive in each of the options. The study used a descriptive-explanatory design to analyze the factors determining the choices of healthcare providers. Information was collected through focus group discussions and in-depth interviews. The results suggest that the decision making related to seeking healthcare for Kala Azar (KA) treatment is a complex, interactive process. Patients and family members follow a well-defined road map for decision making. The process of decision making starts from the recognition of healthcare needs and is then modified by a number of other factors, such as indigenous knowledge, healthcare alternatives, and available resources. Household and individual characteristics also play important roles in facilitating the process of decision making. The results from the group discussions and in-depth interviews are consistent with the idea that KA patients and family members follow the rational approach of weighing the costs against the benefits of using specific types of medical care. The process of decision making related to seeking healthcare follows a complex set of steps and many of the potential factors affect the decision making in a non-linear fashion. Our analysis suggests that it is possible to derive a generalized road map of the decision-making process starting from the recognition of healthcare needs, and then modifying it to show the influences of indigenous knowledge, healthcare alternatives, and available resources.

Decision Making Perspectives of Young Children (K-5).

ERIC Educational Resources Information Center

Rogers, Linda J.; McDonald, Linda L.

1999-01-01

Applies Blumer's theory of symbolic interactionism to explore how normal children make meaning of their decision making world, both of their own acts and the labyrinthine world adults structure for them. Schema/narratives on friendship, sports, adults, and school reveal knowledge making strategies defined by immediate experiences and a capacity to…

Nurse supervisors' actions in relation to their decision-making style and ethical approach to clinical supervision.

PubMed

Berggren, Ingela; Severinsson, Elisabeth

2003-03-01

The aim of the study was to explore the decision-making style and ethical approach of nurse supervisors by focusing on their priorities and interventions in the supervision process. Clinical supervision promotes ethical awareness and behaviour in the nursing profession. A focus group comprised of four clinical nurse supervisors with considerable experience was studied using qualitative hermeneutic content analysis. The essence of the nurse supervisors' decision-making style is deliberations and priorities. The nurse supervisors' willingness, preparedness, knowledge and awareness constitute and form their way of creating a relationship. The nurse supervisors' ethical approach focused on patient situations and ethical principles. The core components of nursing supervision interventions, as demonstrated in supervision sessions, are: guilt, reconciliation, integrity, responsibility, conscience and challenge. The nurse supervisors' interventions involved sharing knowledge and values with the supervisees and recognizing them as nurses and human beings. Nurse supervisors frequently reflected upon the ethical principle of autonomy and the concept and substance of integrity. The nurse supervisors used an ethical approach that focused on caring situations in order to enhance the provision of patient care. They acted as role models, shared nursing knowledge and ethical codes, and focused on patient related situations. This type of decision-making can strengthen the supervisees' professional identity. The clinical nurse supervisors in the study were experienced and used evaluation decisions as their form of clinical decision-making activity. The findings underline the need for further research and greater knowledge in order to improve the understanding of the ethical approach to supervision.

Concept of Operations for Collaboration and Discovery from Big Data Across Enterprise Data Warehouses

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

Olama, Mohammed M; Nutaro, James J; Sukumar, Sreenivas R

2013-01-01

The success of data-driven business in government, science, and private industry is driving the need for seamless integration of intra and inter-enterprise data sources to extract knowledge nuggets in the form of correlations, trends, patterns and behaviors previously not discovered due to physical and logical separation of datasets. Today, as volume, velocity, variety and complexity of enterprise data keeps increasing, the next generation analysts are facing several challenges in the knowledge extraction process. Towards addressing these challenges, data-driven organizations that rely on the success of their analysts have to make investment decisions for sustainable data/information systems and knowledge discovery. Optionsmore » that organizations are considering are newer storage/analysis architectures, better analysis machines, redesigned analysis algorithms, collaborative knowledge management tools, and query builders amongst many others. In this paper, we present a concept of operations for enabling knowledge discovery that data-driven organizations can leverage towards making their investment decisions. We base our recommendations on the experience gained from integrating multi-agency enterprise data warehouses at the Oak Ridge National Laboratory to design the foundation of future knowledge nurturing data-system architectures.« less

Decision Analysis Techniques for Adult Learners: Application to Leadership

ERIC Educational Resources Information Center

Toosi, Farah

2017-01-01

Most decision analysis techniques are not taught at higher education institutions. Leaders, project managers and procurement agents in industry have strong technical knowledge, and it is crucial for them to apply this knowledge at the right time to make critical decisions. There are uncertainties, problems, and risks involved in business…

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.

Designing for health in school buildings: between research and practice.

PubMed

Kirkeby, Inge Mette; Jensen, Bjarne Bruun; Larsen, Kristian; Kural, René

2015-05-01

To investigate the kinds of knowledge practitioners use when planning and designing for health in school buildings. Twelve semi-structured qualitative interviews were conducted with architects, teachers and officials to investigate use of knowledge in the making of school buildings. Practitioners drew on many kinds and sources of knowledge, but in particular they made use of concepts, examples or pictures or thought-provoking knowledge. However, the interviews indicate a number of hurdles for efficient knowledge sharing between research and practice: (1) a considerable discrepancy between kinds of knowledge used by practice and knowledge traditionally produced by research; (2) research-knowledge and practice-knowledge form two circuits and the flow from one circuit to the other is weak; (3) practitioners' knowledge was often based on experience and therefore person-dependent. It makes the knowledge vulnerable. Special attention has to be paid by research to concepts and principles to guide the decision-making in practice. Further is recommended to consider new kinds of collaboration between researchers and practitioners. © 2015 the Nordic Societies of Public Health.

Learning decision making through serious games.

PubMed

Kaczmarczyk, Joseph; Davidson, Richard; Bryden, Daniele; Haselden, Stephen; Vivekananda-Schmidt, Pirashanthie

2016-08-01

In Serious Games (SGs), educational content is integrated into a game so that learning is intrinsic to play, thereby motivating players and improving engagement. SGs enable learning by developing situated understanding in users and by enabling players to practise safe clinical decision making; however, the use of SGs in medical education is not well established. We aimed to design a game-based resource to teach clinical decision making to medical students, and to assess user perceptions of educational value, usability and the role for SGs in undergraduate training. An SG focusing on the acute management of tachyarrhythmias was developed. Third- and fourth-year medical students at the medical school were invited to use and evaluate the game using questionnaires and focus groups. We invited 479 students, and 281 accessed the game. Only 47 students completed the questionnaire and 31 students participated in the focus groups. The data suggest that SGs: (1) can allow students to rehearse taking responsibility for decision making; (2) are fun and motivational; (3) have a role in revising and consolidating knowledge; and (4) could be formative assessment tools. Serious Games enable learning by developing situated understanding in users SGs could be employed as adjuvant learning resources to develop students' skills and knowledge. Further empirical research is required to assess the added value of games in medical education. © 2015 John Wiley & Sons Ltd.

Teacher's Guide for "Tightrope," a Simulation Game in Economics.

ERIC Educational Resources Information Center

Baskind, Larry; And Others

"Tightrope" is a simulation based on economic stability and growth in a country. Several small groups of students, acting as Economic Advisory Councils, make fiscal and monetary policy decisions for their country based on their knowledge of business cycles, monetary policy, and fiscal policy. In each of the four rounds the Advisory Councils study…

Health social workers sources of knowledge for decision making in practice.

PubMed

McDermott, Fiona; Henderson, Annabel; Quayle, Carol

2017-10-01

This article presents findings from research examining knowledge social workers in a health network in Victoria, Australia identified as informing their decision-making. Data for 13 patients, and in-depth interviews with six social workers who worked with these patients, were studied. A thematic analysis of interviews revealed that participants identified reliance on past experience and contextual/situational information as underpinning their decisions, demonstrating their commitment to person-in-environment perspectives. However, despite the availability of a repository of empirical evidence, no respondent made use of this. This study provided insight into health practitioners' sources of knowledge, highlighting gaps and areas for further exploration.

Designing for knowledge: bridging socio-hydrological monitoring and beyond

NASA Astrophysics Data System (ADS)

Mao, F.; Clark, J.; Buytaert, W.; Ochoa-Tocachi, B. F.; Hannah, D. M.

2016-12-01

Many methods and applications have been developed to research socio-hydrological systems, such as participatory monitoring, environmental big data processing and sensor network data transmission. However, these data-centred activities are insufficient to guarantee successful knowledge co-generation, decision making or governance. This research suggests a shift of attentions in designing socio-hydrological monitoring tools, from designing for data to designing for knowledge (DfK). Compared to the former strategy, DfK has at least three features as follows. (1) Why monitor? DfK demands the data produced by the newly introduced monitoring application to have potentials to generate socio-hydrological knowledge that supports decision making or management. It means that when designing a monitoring tool, we should not only answer how to collect data, but also questions such as how to best use the collected data in the form of knowledge. (2) What is the role of monitoring? DfK admits that the socio-hydrological data and knowledge generated by monitoring is just one of many kinds to support decision making and management. It means that the importance of monitoring and scientific evidence should not be overestimated, and knowledge cogeneration and synthesis should be considered in advance in the monitoring design process. (3) Who participate? DfK implies a wider engagement of stakeholders, which is not restricted between volunteers as data collectors and providers, and scientist and researcher communities as main data users. It requires a broader consideration of users, including not only data collectors, processors and interpreters, but also local and indigenous knowledge providers, and decision makers who use the knowledge and data. In summary, this research proposes a knowledge-centred strategy in designing participatory socio-hydrological monitoring tools, in order to make monitoring more useful and effective.

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.

Does Early Childhood Teacher Education Affect Students' Cognitive Orientations? The Effect of Different Education Tracks in Teacher Education on Prospective Early Childhood Teachers' Cognitive Orientations in Germany

ERIC Educational Resources Information Center

Mischo, Christoph; Wahl, Stefan; Strohmer, Janina; Wolf, Carina

2014-01-01

Early childhood teachers may differ regarding the knowledge base they use when making professional decisions. In this study two orientations are distinguished: the orientation towards scientific knowledge vs. the orientation towards intuition and subjective experience. As different tracks in early childhood teacher education qualify for…

[Why controlled studies may lead to misleading and unconfirmed therapeutic concepts--a critical view of evidence-based medicine].

PubMed

Flachskampf, F A

2002-03-01

The concept of evidence-based medicine has gathered widespread support during recent years. While this concept has clear merits in compiling and qualifying up-to-date information for clinical decisions, it should be viewed with caution as the sole valid knowledge source for clinical decision-making. The limitations of such an approach are particularly striking when reviewing two key developments in modern cardiology, fibrinolysis and acute percutaneous intervention in acute myocardial infarction. In both cases, early studies and meta-analyses showed no benefit for these therapeutic interventions over earlier treatment. Only after further refinement (mainly in dosage, time window, concomitant heparin therapy for fibrinolysis, and the introduction of stents and IIb/IIIa inhibitors for acute intervention) did these therapies become universally acknowledged. It is therefore crucial to understand that especially for physicians actively participating in the development of a clinical field clinical decisions cannot be exclusively based on published evidence. Another important problem to consider is the time gap between the emergence of new therapies and the publication and reception by the medical audience, in particular in rapidly evolving fields as cardiology. While it is clear that clinical decision-making must be backed by solid knowledge of the published evidence, in particular the specialist involved in-depth in the field may use not yet proven therapeutic concepts and measures to the patient's advantage.

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

PubMed

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

2016-05-01

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

Impact of a decision aid about stratified ovarian cancer risk-management on women's knowledge and intentions: a randomised online experimental survey study.

PubMed

Meisel, Susanne F; Freeman, Maddie; Waller, Jo; Fraser, Lindsay; Gessler, Sue; Jacobs, Ian; Kalsi, Jatinderpal; Manchanda, Ranjit; Rahman, Belinda; Side, Lucy; Wardle, Jane; Lanceley, Anne; Sanderson, Saskia C

2017-11-16

Risk stratification using genetic and other types of personal information could improve current best available approaches to ovarian cancer risk reduction, improving identification of women at increased risk of ovarian cancer and reducing unnecessary interventions for women at lower risk. Amounts of information given to women may influence key informed decision-related outcomes, e.g. knowledge. The primary aim of this study was to compare informed decision-related outcomes between women given one of two versions (gist vs. extended) of a decision aid about stratified ovarian cancer risk-management. This was an experimental survey study comparing the effects of brief (gist) information with lengthier, more detailed (extended) information on cognitions relevant to informed decision-making about participating in risk-stratified ovarian cancer screening. Women with no personal history of ovarian cancer were recruited through an online survey company and randomised to view the gist (n = 512) or extended (n = 519) version of a website-based decision aid and completed an online survey. Primary outcomes were knowledge and intentions. Secondary outcomes included attitudes (values) and decisional conflict. There were no significant differences between the gist and extended conditions in knowledge about ovarian cancer (time*group interaction: F = 0.20, p = 0.66) or intention to participate in ovarian cancer screening based on genetic risk assessment (t(1029) = 0.43, p = 0.67). There were also no between-groups differences in secondary outcomes. In the sample overall (n = 1031), knowledge about ovarian cancer increased from before to after exposure to the decision aid (from 5.71 to 6.77 out of a possible 10: t = 19.04, p < 0.001), and 74% of participants said that they would participate in ovarian cancer screening based on genetic risk assessment. No differences in knowledge or intentions were found between women who viewed the gist version and women who viewed the extended version of a decision aid about risk-stratified ovarian cancer screening. Knowledge increased for women in both decision aid groups. Further research is needed to determine the ideal volume and type of content for decision aids about stratified ovarian cancer risk-management. This study was registered with the ISRCTN registry; registration number: ISRCTN48627877 .

Systems Operations Studies for Automated Guideway Transit Systems : Discrete Event Simulation Model User's Manual.

DOT National Transportation Integrated Search

1982-06-01

In order to examine specific Automated Guideway Transit (AGT) developments and concepts, and to build a better knowledge base for future decision-making, the Urban Mass Transportation Administration (UMTA) undertook a new program of studies and techn...

Emotional and Social Factors influence Poker Decision Making Accuracy.

PubMed

Laakasuo, Michael; Palomäki, Jussi; Salmela, Mikko

2015-09-01

Poker is a social game, where success depends on both game strategic knowledge and emotion regulation abilities. Thus, poker provides a productive environment for studying the effects of emotional and social factors on micro-economic decision making. Previous research indicates that experiencing negative emotions, such as moral anger, reduces mathematical accuracy in poker decision making. Furthermore, various social aspects of the game—such as losing against "bad players" due to "bad luck"—seem to fuel these emotional states. We designed an Internet-based experiment, where participants' (N = 459) mathematical accuracy in five different poker decision making tasks were assessed. In addition, we manipulated the emotional and social conditions under which the tasks were presented, in a 2 × 2 experimental setup: (1) Anger versus neutral emotional state—participants were primed either with an anger-inducing, or emotionally neutral story, and (2) Social cue versus non-social cue—during the tasks, either an image of a pair of human eyes was "following" the mouse cursor, or an image of a black moving box was presented. The results showed that anger reduced mathematical accuracy of decision making only when participants were "being watched" by a pair of moving eyes. Experienced poker players made mathematically more accurate decisions than inexperienced ones. The results contribute to current understanding on how emotional and social factors influence decision making accuracy in economic games.

Policy impacts of ecosystem services knowledge

PubMed Central

Posner, Stephen M.; McKenzie, Emily; Ricketts, Taylor H.

2016-01-01

Research about ecosystem services (ES) often aims to generate knowledge that influences policies and institutions for conservation and human development. However, we have limited understanding of how decision-makers use ES knowledge or what factors facilitate use. Here we address this gap and report on, to our knowledge, the first quantitative analysis of the factors and conditions that explain the policy impact of ES knowledge. We analyze a global sample of cases where similar ES knowledge was generated and applied to decision-making. We first test whether attributes of ES knowledge themselves predict different measures of impact on decisions. We find that legitimacy of knowledge is more often associated with impact than either the credibility or salience of the knowledge. We also examine whether predictor variables related to the science-to-policy process and the contextual conditions of a case are significant in predicting impact. Our findings indicate that, although many factors are important, attributes of the knowledge and aspects of the science-to-policy process that enhance legitimacy best explain the impact of ES science on decision-making. Our results are consistent with both theory and previous qualitative assessments in suggesting that the attributes and perceptions of scientific knowledge and process within which knowledge is coproduced are important determinants of whether that knowledge leads to action. PMID:26831101

European Social Work Research Association SIG to Study Decisions, Assessment, and Risk.

PubMed

Taylor, Brian; Killick, Campbell; Bertotti, Teresa; Enosh, Guy; Gautschi, Joel; Hietamäki, Johanna; Sicora, Alessandro; Whittaker, Andrew

2018-01-01

The increasing interest in professional judgement and decision making is often separate from the discourse about "risk," and the time-honored focus on assessment. The need to develop research in and across these topics was recognized in the founding of a Decisions, Assessment, and Risk Special Interest Group (DARSIG) by the European Social Work Research Association in 2014. The Group's interests include cognitive judgements; decision processes with clients, families, other professionals and courts; assessment tools and processes; the assessment, communication, and management of risk; and legal, ethical, and emotional aspects of these. This article outlines the founding and scope of DARSIG; gives an overview of decision making, assessment, and risk for practice; illustrates connections between these; and highlights future research directions. Professional knowledge about decision making, assessment, and risk complements knowledge about effectiveness of interventions. DARSIG promises to be a useful mechanism for the purpose.

Implementation of a national school-based Human Papillomavirus (HPV) vaccine campaign in Fiji: knowledge, vaccine acceptability and information needs of parents.

PubMed

La Vincente, S F; Mielnik, D; Jenkins, K; Bingwor, F; Volavola, L; Marshall, H; Druavesi, P; Russell, F M; Lokuge, K; Mulholland, E K

2015-12-18

In 2008 Fiji implemented a nationwide Human Papillomavirus (HPV) vaccine campaign targeting all girls aged 9-12 years through the existing school-based immunisation program. Parents of vaccine-eligible girls were asked to provide written consent for vaccination. The purpose of this study was to describe parents' knowledge, experiences and satisfaction with the campaign, the extent to which information needs for vaccine decision-making were met, and what factors were associated with vaccine consent. Following vaccine introduction, a cross-sectional telephone survey was conducted with parents of vaccine-eligible girls from randomly selected schools, stratified by educational district. Factors related to vaccine consent were explored using Generalised Estimating Equations. There were 560 vaccine-eligible girls attending the participating 19 schools at the time of the campaign. Among these, 313 parents could be contacted, with 293 agreeing to participate (93.6%). Almost 80% of participants reported having consented to HPV vaccination (230/293, 78.5%). Reported knowledge of cervical cancer and HPV prior to the campaign was very low. Most respondents reported that they were satisfied with their access to information to make an informed decision about HPV vaccination (196/293, 66.9%). and this was very strongly associated with provision of consent. Despite their young age, the vaccine-eligible girls were often involved in the discussion and decision-making. Most consenting parents were satisfied with the campaign and their decision to vaccinate, with almost 90% indicating they would consent to future HPV vaccination. However, negative media reports about the vaccine campaign created confusion and concern. Local health staff were cited as a trusted source of information to guide decision-making. Just over half of the participants who withheld consent cited vaccine safety fears as the primary reason (23/44, 52.3%). This is the first reported experience of HPV introduction in a Pacific Island nation. In a challenging environment with limited community knowledge of HPV and cervical cancer, media controversy and a short lead-time for community education, Fiji has implemented an HPV vaccine campaign that was largely acceptable to the community and achieved a high level of participation. Community sensitisation and education is critical and should include a focus on the local health workforce and the vaccine target group.

Development of a Policy-Relevant Child Maltreatment Research Strategy

PubMed Central

MacMillan, Harriet L; Jamieson, Ellen; Wathen, C Nadine; Boyle, Michael H; Walsh, Christine A; Omura, John; Walker, Jason M; Lodenquai, Gregory

2007-01-01

Child maltreatment is associated with a huge burden of suffering, yet there are serious gaps in knowledge about its epidemiology and approaches to intervention. This article describes the development of a proposed national research framework in child maltreatment, as requested by the Department of Justice, Canada, based on (1) a review of the literature, (2) consultation with experts, and (3) application of evaluation criteria for considering research priorities. The article identifies gaps in knowledge about child maltreatment in Canada and proposes a research agenda to make evidence-based policy decisions more likely. Although this work was driven by gaps in Canada's knowledge about child maltreatment, the international scope of the review and consultation process could make the findings useful to broader research and policy audiences. PMID:17517119

Cultural competency of a mobile, customized patient education tool for improving potential kidney transplant recipients' knowledge and decision-making.

PubMed

Axelrod, David A; Kynard-Amerson, Crystal S; Wojciechowski, David; Jacobs, Marie; Lentine, Krista L; Schnitzler, Mark; Peipert, John D; Waterman, Amy D

2017-05-01

Patients considering renal transplantation face an increasingly complex array of choices as a result of the revised kidney transplant allocation system. Decision aids have been shown to improve patient decision-making through the provision of detailed, relevant, individualized clinical data. A mobile iOS-based application (app) including animated patient education and individualized risk-adjusted outcomes following kidney transplants with varying donor characteristics and DSA waiting times was piloted in two large US transplant programs with a diverse group of renal transplant candidates (N = 81). The majority (86%) of patients felt that the app improved their knowledge and was culturally appropriate for their race/ethnicity (67%-85%). Patients scored significantly higher on transplant knowledge testing (9.1/20 to 13.8/20, P < .001) after viewing the app, including patients with low health literacy (8.0 to 13.0, P < .001). Overall knowledge of and interest in living and deceased donor kidney transplantation increased. This pilot project confirmed the benefit and cultural acceptability of this educational tool, and further refinement will explore how to better communicate the risks and benefits of nonstandard donors. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Evaluating Quality of Decision-Making Processes in Medicines' Development, Regulatory Review, and Health Technology Assessment: A Systematic Review of the Literature.

PubMed

Bujar, Magdalena; McAuslane, Neil; Walker, Stuart R; Salek, Sam

2017-01-01

Introduction: Although pharmaceutical companies, regulatory authorities, and health technology assessment (HTA) agencies have been increasingly using decision-making frameworks, it is not certain whether these enable better quality decision making. This could be addressed by formally evaluating the quality of decision-making process within those organizations. The aim of this literature review was to identify current techniques (tools, questionnaires, surveys, and studies) for measuring the quality of the decision-making process across the three stakeholders. Methods: Using MEDLINE, Web of Knowledge, and other Internet-based search engines, a literature review was performed to systematically identify techniques for assessing quality of decision making in medicines development, regulatory review, and HTA. A structured search was applied using key words and a secondary review was carried out. In addition, the measurement properties of each technique were assessed and compared. Ten Quality Decision-Making Practices (QDMPs) developed previously were then used as a framework for the evaluation of techniques identified in the review. Due to the variation in studies identified, meta-analysis was inappropriate. Results: This review identified 13 techniques, where 7 were developed specifically to assess decision making in medicines' development, regulatory review, or HTA; 2 examined corporate decision making, and 4 general decision making. Regarding how closely each technique conformed to the 10 QDMPs, the 13 techniques assessed a median of 6 QDMPs, with a mode of 3 QDMPs. Only 2 techniques evaluated all 10 QDMPs, namely the Organizational IQ and the Quality of Decision Making Orientation Scheme (QoDoS), of which only one technique, QoDoS could be applied to assess decision making of both individuals and organizations, and it possessed generalizability to capture issues relevant to companies as well as regulatory authorities. Conclusion: This review confirmed a general paucity of research in this area, particularly regarding the development and systematic application of techniques for evaluating quality decision making, with no consensus around a gold standard. This review has identified QoDoS as the most promising available technique for assessing decision making in the lifecycle of medicines and the next steps would be to further test its validity, sensitivity, and reliability.

Integrating clinicians, knowledge and data: expert-based cooperative analysis in healthcare decision support

PubMed Central

2010-01-01

Background Decision support in health systems is a highly difficult task, due to the inherent complexity of the process and structures involved. Method This paper introduces a new hybrid methodology Expert-based Cooperative Analysis (EbCA), which incorporates explicit prior expert knowledge in data analysis methods, and elicits implicit or tacit expert knowledge (IK) to improve decision support in healthcare systems. EbCA has been applied to two different case studies, showing its usability and versatility: 1) Bench-marking of small mental health areas based on technical efficiency estimated by EbCA-Data Envelopment Analysis (EbCA-DEA), and 2) Case-mix of schizophrenia based on functional dependency using Clustering Based on Rules (ClBR). In both cases comparisons towards classical procedures using qualitative explicit prior knowledge were made. Bayesian predictive validity measures were used for comparison with expert panels results. Overall agreement was tested by Intraclass Correlation Coefficient in case "1" and kappa in both cases. Results EbCA is a new methodology composed by 6 steps:. 1) Data collection and data preparation; 2) acquisition of "Prior Expert Knowledge" (PEK) and design of the "Prior Knowledge Base" (PKB); 3) PKB-guided analysis; 4) support-interpretation tools to evaluate results and detect inconsistencies (here Implicit Knowledg -IK- might be elicited); 5) incorporation of elicited IK in PKB and repeat till a satisfactory solution; 6) post-processing results for decision support. EbCA has been useful for incorporating PEK in two different analysis methods (DEA and Clustering), applied respectively to assess technical efficiency of small mental health areas and for case-mix of schizophrenia based on functional dependency. Differences in results obtained with classical approaches were mainly related to the IK which could be elicited by using EbCA and had major implications for the decision making in both cases. Discussion This paper presents EbCA and shows the convenience of completing classical data analysis with PEK as a mean to extract relevant knowledge in complex health domains. One of the major benefits of EbCA is iterative elicitation of IK.. Both explicit and tacit or implicit expert knowledge are critical to guide the scientific analysis of very complex decisional problems as those found in health system research. PMID:20920289

Integrating clinicians, knowledge and data: expert-based cooperative analysis in healthcare decision support.

PubMed

Gibert, Karina; García-Alonso, Carlos; Salvador-Carulla, Luis

2010-09-30

Decision support in health systems is a highly difficult task, due to the inherent complexity of the process and structures involved. This paper introduces a new hybrid methodology Expert-based Cooperative Analysis (EbCA), which incorporates explicit prior expert knowledge in data analysis methods, and elicits implicit or tacit expert knowledge (IK) to improve decision support in healthcare systems. EbCA has been applied to two different case studies, showing its usability and versatility: 1) Bench-marking of small mental health areas based on technical efficiency estimated by EbCA-Data Envelopment Analysis (EbCA-DEA), and 2) Case-mix of schizophrenia based on functional dependency using Clustering Based on Rules (ClBR). In both cases comparisons towards classical procedures using qualitative explicit prior knowledge were made. Bayesian predictive validity measures were used for comparison with expert panels results. Overall agreement was tested by Intraclass Correlation Coefficient in case "1" and kappa in both cases. EbCA is a new methodology composed by 6 steps:. 1) Data collection and data preparation; 2) acquisition of "Prior Expert Knowledge" (PEK) and design of the "Prior Knowledge Base" (PKB); 3) PKB-guided analysis; 4) support-interpretation tools to evaluate results and detect inconsistencies (here Implicit Knowledg -IK- might be elicited); 5) incorporation of elicited IK in PKB and repeat till a satisfactory solution; 6) post-processing results for decision support. EbCA has been useful for incorporating PEK in two different analysis methods (DEA and Clustering), applied respectively to assess technical efficiency of small mental health areas and for case-mix of schizophrenia based on functional dependency. Differences in results obtained with classical approaches were mainly related to the IK which could be elicited by using EbCA and had major implications for the decision making in both cases. This paper presents EbCA and shows the convenience of completing classical data analysis with PEK as a mean to extract relevant knowledge in complex health domains. One of the major benefits of EbCA is iterative elicitation of IK.. Both explicit and tacit or implicit expert knowledge are critical to guide the scientific analysis of very complex decisional problems as those found in health system research.

Decision-Making and the Interface between Human Intelligence and Artificial Intelligence. AIR 1987 Annual Forum Paper.

ERIC Educational Resources Information Center

Henard, Ralph E.

Possible future developments in artificial intelligence (AI) as well as its limitations are considered that have implications for institutional research in higher education, and especially decision making and decision support systems. It is noted that computer software programs have been developed that store knowledge and mimic the decision-making…

The physician-patient encounter: the physician as a perfect agent for the patient versus the informed treatment decision-making model.

PubMed

Gafni, A; Charles, C; Whelan, T

1998-08-01

Assuming a goal of arriving at a treatment decision which is based on the physician's knowledge and the patient's preferences, we discuss the feasibility of implementing two treatment decision-making models: (1) the physician as a perfect agent for the patient, and (2) the informed treatment decision-making models. Both models fall under the rubric of agency models, however, the requirements from the physician and the patient are different. An important distinction between the two models is that in the former the patient delegates authority to her doctor to make medical decisions and thus the challenge is to encourage the physician to find out the patient's preferences. In the latter, the patient retains the authority to make medical decisions and the physician role is that of information transfer. The challenge here is to encourage the physician to transfer the knowledge in a clear and nonbiased way. We argue that the choice of model depends among other things on the ease of implementation (e.g., is it simpler to transfer patient's preferences to doctors or to transfer technical knowledge to patients?). Also the choice of treatment decision-making model is likely to have an impact on the type of incentives or regulations (i.e., contracts) needed to promote the chosen model. We show that in theory both models result in the same outcome. We argue that the approach of transferring information to the patient is easier (but not easy) and, hence, more feasible than transferring each patient's preferences to the physician in each medical encounter. We also argue that because better "technology" exists to transfer medical information to patients and time costs are involved in both tasks (i.e. transferring preferences or information), it is more feasible to design contracts to motivate physicians to transfer information to patients than to design contracts to motivate physicians to find out their patients' utility functions. We illustrate our arguments using a clinical example of the choice of adjuvant chemotherapy versus no adjuvant chemotherapy for women with early stage breast cancer. We also discuss issues relating to the current realities of clinical practice and their potential implications for the way that economists model physician-patient clinical encounters.

Is risk analysis scientific?

PubMed

Hansson, Sven Ove; Aven, Terje

2014-07-01

This article discusses to what extent risk analysis is scientific in view of a set of commonly used definitions and criteria. We consider scientific knowledge to be characterized by its subject matter, its success in developing the best available knowledge in its fields of study, and the epistemic norms and values that guide scientific investigations. We proceed to assess the field of risk analysis according to these criteria. For this purpose, we use a model for risk analysis in which science is used as a base for decision making on risks, which covers the five elements evidence, knowledge base, broad risk evaluation, managerial review and judgment, and the decision; and that relates these elements to the domains experts and decisionmakers, and to the domains fact-based or value-based. We conclude that risk analysis is a scientific field of study, when understood as consisting primarily of (i) knowledge about risk-related phenomena, processes, events, etc., and (ii) concepts, theories, frameworks, approaches, principles, methods and models to understand, assess, characterize, communicate, and manage risk, in general and for specific applications (the instrumental part). © 2014 Society for Risk Analysis.

Evidence-Based and Value-Based Decision Making About Healthcare Design: An Economic Evaluation of the Safety and Quality Outcomes.

PubMed

Zadeh, Rana; Sadatsafavi, Hessam; Xue, Ryan

2015-01-01

This study describes a vision and framework that can facilitate the implementation of evidence-based design (EBD), scientific knowledge base into the process of the design, construction, and operation of healthcare facilities and clarify the related safety and quality outcomes for the stakeholders. The proposed framework pairs EBD with value-driven decision making and aims to improve communication among stakeholders by providing a common analytical language. Recent EBD research indicates that the design and operation of healthcare facilities contribute to an organization's operational success by improving safety, quality, and efficiency. However, because little information is available about the financial returns of evidence-based investments, such investments are readily eliminated during the capital-investment decision-making process. To model the proposed framework, we used engineering economy tools to evaluate the return on investments in six successful cases, identified by a literature review, in which facility design and operation interventions resulted in reductions in hospital-acquired infections, patient falls, staff injuries, and patient anxiety. In the evidence-based cases, calculated net present values, internal rates of return, and payback periods indicated that the long-term benefits of interventions substantially outweighed the intervention costs. This article explained a framework to develop a research-based and value-based communication language on specific interventions along the planning, design and construction, operation, and evaluation stages. Evidence-based and value-based design frameworks can be applied to communicate the life-cycle costs and savings of EBD interventions to stakeholders, thereby contributing to more informed decision makings and the optimization of healthcare infrastructures. © The Author(s) 2015.

The partnership between park wild life management policy and landscape wild life management policy. How shall we then manage?

USGS Publications Warehouse

Halvorson, William L.; Eastin, Chris

1999-01-01

Resources management practices are changing in North America, not only based on greater understanding of the resources that are being managed, but also on some critical sociological relationship changes between human beings and between humans and nature. The entire way that humans look at the natural world and our own society is changing dramatically as we come to the end of the twentieth century. Managers are changing from making belief-based decisions to making informed knowledge-based decisions through better science programs. Society appears to increasingly be making a shift to a community mind-set, a mind-set of connectedness and interdependence, and away from strict individualism. Managers appear to be ready to embrace the concept of unity and wholeness; to understand that humans and nature are inextricably tied to each other’s wellbeing

Proceedings of the 1986 IEEE international conference on systems, man and cybernetics

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

Not Available

1986-01-01

This book presents the papers given at a conference on man-machine systems. Topics considered at the conference included neural model-based cognitive theory and engineering, user interfaces, adaptive and learning systems, human interaction with robotics, decision making, the testing and evaluation of expert systems, software development, international conflict resolution, intelligent interfaces, automation in man-machine system design aiding, knowledge acquisition in expert systems, advanced architectures for artificial intelligence, pattern recognition, knowledge bases, and machine vision.

[Shared decision making].

PubMed

Floer, B; Schnee, M; Böcken, J; Streich, W; Kunstmann, W; Isfort, J; Butzlaff, M

2004-10-29

The demand for integration of patients in medical decisions becomes more and more obvious. Little is known about whether patients are willing and ready to share therapeutic decisions. So far information is lacking, whether existing communication skills of both -- patients and physicians -- are sufficient for shared decision making (SDM). This paper presents new data on patients perspectives regarding SDM. Standardized survey of 3058 German speaking people (1565 females, 1493 males), aged 18-79 years, a population based random sample of an access panel (pool of german households available for specific surveys) regarding the following topics: medical decision making in practice, communication skills and behaviour of physicians. A majority of patients approved the model of SDM. However, some subgroups of patients, especially older patients, were less interested in the concept of SDM. Necessary communication skills which may help patients to participate in decision making were used rather scarcely. Patients who approved the model of SDM more often experienced a common and trustful exchange of information. Most patients favour the concept of SDM. The communication skills necessary for this process are to be promoted and extended. Research on patients' preferences and their participation in health care reform should be intensified. Academic and continuous medical education should focus on knowledge transfer to patients.

Effects of a decision support intervention on decisional conflict associated with microsatellite instability testing.

PubMed

Hall, Michael J; Manne, Sharon L; Winkel, Gary; Chung, Daniel S; Weinberg, David S; Meropol, Neal J

2011-02-01

Decision support to facilitate informed consent is increasingly important for complicated medical tests. Here, we test a theoretical model of factors influencing decisional conflict in a study examining the effects of a decision support aid that was designed to assist patients at high risk for hereditary nonpolyposis colorectal cancer (CRC) deciding whether to pursue the microsatellite instability (MSI) test. Participants were 239 CRC patients at high familial risk for a genetic mutation who completed surveys before and after exposure to the intervention. Half of the sample was assigned to the CD-ROM aid and half received a brief description of the test. Structural equation modeling was employed to examine associations among the intervention, knowledge, pros and cons to having MSI testing, self-efficacy, preparedness, and decisional conflict. The goodness of fit for the model was acceptable [FIML, full information maximum likelihood, χ(2) (df = 280) = 392.24; P = 0.00]. As expected, the paths to decisional conflict were significant for postintervention pros of MSI testing (t = -2.43; P < 0.05), cons of MSI testing (t = 2.78; P < 0.05), and preparedness (t = -7.27; P < 0.01). The intervention impacted decisional conflict by increasing knowledge about the MSI test and knowledge exerted its effects on decisional conflict by increasing preparedness to make a decision about the test and by increases in perceived benefits of having the test. Increasing knowledge, preparedness, and perceived benefits of undergoing the MSI test facilitate informed decision making for this test. Understanding mechanisms underlying health decisions is critical for improving decisional support. Individuals with Lynch syndrome have an elevated lifetime risk of CRC. Risk of Lynch syndrome may be assessed with a tumor-based screening test (MSI testing or immunohistochemical tissue staining). ©2011 AACR.

Conceptual Knowledge Influences Decision Making Differently in Individuals with High or Low Cognitive Flexibility: An ERP Study.

PubMed

Dong, Xiaofei; Du, Xiumin; Qi, Bing

2016-01-01

Studies using the Iowa Gambling Task (IGT) have distinguished between good and bad decision makers and have provided an explanation for deficits in decision making. Previous studies have demonstrated a link between Wisconsin Card Sorting Test (WCST) performance and IGT performance, but the results were not consistent and failed to explain why WCST performance can predict IGT performance. The present study aimed to demonstrate that WCST performance can predict IGT performance and to identify the cognitive component of the WCST that affects IGT performance using event-related potentials (ERPs). In this study, 39 healthy subjects (5 subjects were excluded) were divided into a high group and a low group based on their global score on the WCST. A single-choice version of the IGT was used to eliminate the impact of retrieval strategies on the choice evaluation process and interference due to uncorrelated decks. Differences in the underlying neural mechanisms and explicit knowledge between the two groups during the three stages of the decision-making process were described. Based on the information processing perspective, we divided the decision-making process into three stages: choice evaluation, response selection, and feedback processing. The behavioral results showed that the highly cognitively flexible participants performed better on the IGT and acquired more knowledge of the task. The ERP results showed that during the choice evaluation stage, the P300 recorded from central and parietal regions when a bad deck appeared was larger in the high group participants than in the low group participants. During the response selection stage, the effect of choice type was significant only in the frontal region in the high group, with a larger effect for passing. During the feedback evaluation stage, a larger FRN was evoked for a loss than for a win in the high group, whereas the FRN effect was absent in the low group. Compared with the participants with low cognitive flexibility, the participants with high cognitive flexibility performed better on the IGT, acquired more knowledge of the task, and displayed more obvious somatic markers. The low group participants showed reduced working memory abilities during the choice evaluation stage. The appropriate somatic markers reflected by the DPN is formed only when conceptual knowledge is gained in the response selection stage. The absence of an FRN effect in the subjects who performed poorly on the WCST suggests a significant deficit in feedback learning and reward prediction.

Conceptual Knowledge Influences Decision Making Differently in Individuals with High or Low Cognitive Flexibility: An ERP Study

PubMed Central

Dong, Xiaofei; Du, Xiumin; Qi, Bing

2016-01-01

Objective Studies using the Iowa Gambling Task (IGT) have distinguished between good and bad decision makers and have provided an explanation for deficits in decision making. Previous studies have demonstrated a link between Wisconsin Card Sorting Test (WCST) performance and IGT performance, but the results were not consistent and failed to explain why WCST performance can predict IGT performance. The present study aimed to demonstrate that WCST performance can predict IGT performance and to identify the cognitive component of the WCST that affects IGT performance using event-related potentials (ERPs). Methods In this study, 39 healthy subjects (5 subjects were excluded) were divided into a high group and a low group based on their global score on the WCST. A single-choice version of the IGT was used to eliminate the impact of retrieval strategies on the choice evaluation process and interference due to uncorrelated decks. Differences in the underlying neural mechanisms and explicit knowledge between the two groups during the three stages of the decision-making process were described. Results Based on the information processing perspective, we divided the decision-making process into three stages: choice evaluation, response selection, and feedback processing. The behavioral results showed that the highly cognitively flexible participants performed better on the IGT and acquired more knowledge of the task. The ERP results showed that during the choice evaluation stage, the P300 recorded from central and parietal regions when a bad deck appeared was larger in the high group participants than in the low group participants. During the response selection stage, the effect of choice type was significant only in the frontal region in the high group, with a larger effect for passing. During the feedback evaluation stage, a larger FRN was evoked for a loss than for a win in the high group, whereas the FRN effect was absent in the low group. Conclusion Compared with the participants with low cognitive flexibility, the participants with high cognitive flexibility performed better on the IGT, acquired more knowledge of the task, and displayed more obvious somatic markers. The low group participants showed reduced working memory abilities during the choice evaluation stage. The appropriate somatic markers reflected by the DPN is formed only when conceptual knowledge is gained in the response selection stage. The absence of an FRN effect in the subjects who performed poorly on the WCST suggests a significant deficit in feedback learning and reward prediction. PMID:27479484

Decision-making and problem-solving methods in automation technology

NASA Technical Reports Server (NTRS)

Hankins, W. W.; Pennington, J. E.; Barker, L. K.

1983-01-01

The state of the art in the automation of decision making and problem solving is reviewed. The information upon which the report is based was derived from literature searches, visits to university and government laboratories performing basic research in the area, and a 1980 Langley Research Center sponsored conferences on the subject. It is the contention of the authors that the technology in this area is being generated by research primarily in the three disciplines of Artificial Intelligence, Control Theory, and Operations Research. Under the assumption that the state of the art in decision making and problem solving is reflected in the problems being solved, specific problems and methods of their solution are often discussed to elucidate particular aspects of the subject. Synopses of the following major topic areas comprise most of the report: (1) detection and recognition; (2) planning; and scheduling; (3) learning; (4) theorem proving; (5) distributed systems; (6) knowledge bases; (7) search; (8) heuristics; and (9) evolutionary programming.

Simulation modelling as a tool for knowledge mobilisation in health policy settings: a case study protocol.

PubMed

Freebairn, L; Atkinson, J; Kelly, P; McDonnell, G; Rychetnik, L

2016-09-21

Evidence-informed decision-making is essential to ensure that health programs and services are effective and offer value for money; however, barriers to the use of evidence persist. Emerging systems science approaches and advances in technology are providing new methods and tools to facilitate evidence-based decision-making. Simulation modelling offers a unique tool for synthesising and leveraging existing evidence, data and expert local knowledge to examine, in a robust, low risk and low cost way, the likely impact of alternative policy and service provision scenarios. This case study will evaluate participatory simulation modelling to inform the prevention and management of gestational diabetes mellitus (GDM). The risks associated with GDM are well recognised; however, debate remains regarding diagnostic thresholds and whether screening and treatment to reduce maternal glucose levels reduce the associated risks. A diagnosis of GDM may provide a leverage point for multidisciplinary lifestyle modification interventions. This research will apply and evaluate a simulation modelling approach to understand the complex interrelation of factors that drive GDM rates, test options for screening and interventions, and optimise the use of evidence to inform policy and program decision-making. The study design will use mixed methods to achieve the objectives. Policy, clinical practice and research experts will work collaboratively to develop, test and validate a simulation model of GDM in the Australian Capital Territory (ACT). The model will be applied to support evidence-informed policy dialogues with diverse stakeholders for the management of GDM in the ACT. Qualitative methods will be used to evaluate simulation modelling as an evidence synthesis tool to support evidence-based decision-making. Interviews and analysis of workshop recordings will focus on the participants' engagement in the modelling process; perceived value of the participatory process, perceived commitment, influence and confidence of stakeholders in implementing policy and program decisions identified in the modelling process; and the impact of the process in terms of policy and program change. The study will generate empirical evidence on the feasibility and potential value of simulation modelling to support knowledge mobilisation and consensus building in health settings.

Patient and physician views of shared decision making in cancer.

PubMed

Tamirisa, Nina P; Goodwin, James S; Kandalam, Arti; Linder, Suzanne K; Weller, Susan; Turrubiate, Stella; Silva, Colleen; Riall, Taylor S

2017-12-01

Engaging patients in shared decision making involves patient knowledge of treatment options and physician elicitation of patient preferences. Our aim was to explore patient and physician perceptions of shared decision making in clinical encounters for cancer care. Patients and physicians were asked open-ended questions regarding their perceptions of shared decision making throughout their cancer care. Transcripts of interviews were coded and analysed for shared decision-making themes. At an academic medical centre, 20 cancer patients with a range of cancer diagnoses, stages of cancer and time from diagnosis, and eight physicians involved in cancer care were individually interviewed. Most physicians reported providing patients with written information. However, most patients reported that written information was too detailed and felt that the physicians did not assess the level of information they wished to receive. Most patients wanted to play an active role in the treatment decision, but also wanted the physician's recommendation, such as what their physician would choose for him/herself or a family member in a similar situation. While physicians stated that they incorporated patient autonomy in decision making, most provided data without making treatment recommendations in the format preferred by most patients. We identified several communication gaps in cancer care. While patients want to be involved in the decision-making process, they also want physicians to provide evidence-based recommendations in the context of their individual preferences. However, physicians often are reluctant to provide a recommendation that will bias the patient. © 2017 The Authors Health Expectations Published by John Wiley & Sons Ltd.

Teacher as Decision-Maker.

ERIC Educational Resources Information Center

Smith, Carl B.

The teacher as decisionmaker is a fairly new concept, and yet the choices teachers make--among alternative approaches--afffect the attitudes, knowledge, and skills students carry into adult life. This booklet's chapter titles are as follows: (1) New Image for Teachers--Decision-Maker; (2) Decisions Teachers Make; (3) A Rational Model; (4) Planning…

Adolescent Pregnancy Decision-Making: Are Parents Important?

ERIC Educational Resources Information Center

Rosen, Raye Hudson

1980-01-01

This paper examines the extent to which teenagers involve their parents in decision making on the resolution of unwanted conceptions, even though legalization of abortion allows them to terminate their pregnancies without parental knowledge. (RMH)

Topics in inference and decision-making with partial knowledge

NASA Technical Reports Server (NTRS)

Safavian, S. Rasoul; Landgrebe, David

1990-01-01

Two essential elements needed in the process of inference and decision-making are prior probabilities and likelihood functions. When both of these components are known accurately and precisely, the Bayesian approach provides a consistent and coherent solution to the problems of inference and decision-making. In many situations, however, either one or both of the above components may not be known, or at least may not be known precisely. This problem of partial knowledge about prior probabilities and likelihood functions is addressed. There are at least two ways to cope with this lack of precise knowledge: robust methods, and interval-valued methods. First, ways of modeling imprecision and indeterminacies in prior probabilities and likelihood functions are examined; then how imprecision in the above components carries over to the posterior probabilities is examined. Finally, the problem of decision making with imprecise posterior probabilities and the consequences of such actions are addressed. Application areas where the above problems may occur are in statistical pattern recognition problems, for example, the problem of classification of high-dimensional multispectral remote sensing image data.

Newly graduated nurses' use of knowledge sources: a meta-ethnography.

PubMed

Voldbjerg, Siri Lygum; Grønkjaer, Mette; Sørensen, Erik Elgaard; Hall, Elisabeth O C

2016-08-01

To advance evidence on newly graduated nurses' use of knowledge sources. Clinical decisions need to be evidence-based and understanding the knowledge sources that newly graduated nurses use will inform both education and practice. Qualitative studies on newly graduated nurses' use of knowledge sources are increasing though generated from scattered healthcare contexts. Therefore, a metasynthesis of qualitative research on what knowledge sources new graduates use in decision-making was conducted. Meta-ethnography. Nineteen reports, representing 17 studies, published from 2000-2014 were identified from iterative searches in relevant databases from May 2013-May 2014. Included reports were appraised for quality and Noblit and Hare's meta-ethnography guided the interpretation and synthesis of data. Newly graduated nurses' use of knowledge sources during their first 2-year postgraduation were interpreted in the main theme 'self and others as knowledge sources,' with two subthemes 'doing and following' and 'knowing and doing,' each with several elucidating categories. The metasynthesis revealed a line of argument among the report findings underscoring progression in knowledge use and perception of competence and confidence among newly graduated nurses. The transition phase, feeling of confidence and ability to use critical thinking and reflection, has a great impact on knowledge sources incorporated in clinical decisions. The synthesis accentuates that for use of newly graduated nurses' qualifications and skills in evidence-based practice, clinical practice needs to provide a supportive environment which nurtures critical thinking and questions and articulates use of multiple knowledge sources. © 2016 John Wiley & Sons Ltd.

Combination of uncertainty theories and decision-aiding methods for natural risk management in a context of imperfect information

NASA Astrophysics Data System (ADS)

Tacnet, Jean-Marc; Dupouy, Guillaume; Carladous, Simon; Dezert, Jean; Batton-Hubert, Mireille

2017-04-01

In mountain areas, natural phenomena such as snow avalanches, debris-flows and rock-falls, put people and objects at risk with sometimes dramatic consequences. Risk is classically considered as a combination of hazard, the combination of the intensity and frequency of the phenomenon, and vulnerability which corresponds to the consequences of the phenomenon on exposed people and material assets. Risk management consists in identifying the risk level as well as choosing the best strategies for risk prevention, i.e. mitigation. In the context of natural phenomena in mountainous areas, technical and scientific knowledge is often lacking. Risk management decisions are therefore based on imperfect information. This information comes from more or less reliable sources ranging from historical data, expert assessments, numerical simulations etc. Finally, risk management decisions are the result of complex knowledge management and reasoning processes. Tracing the information and propagating information quality from data acquisition to decisions are therefore important steps in the decision-making process. One major goal today is therefore to assist decision-making while considering the availability, quality and reliability of information content and sources. A global integrated framework is proposed to improve the risk management process in a context of information imperfection provided by more or less reliable sources: uncertainty as well as imprecision, inconsistency and incompleteness are considered. Several methods are used and associated in an original way: sequential decision context description, development of specific multi-criteria decision-making methods, imperfection propagation in numerical modeling and information fusion. This framework not only assists in decision-making but also traces the process and evaluates the impact of information quality on decision-making. We focus and present two main developments. The first one relates to uncertainty and imprecision propagation in numerical modeling using both classical Monte-Carlo probabilistic approach and also so-called Hybrid approach using possibility theory. Second approach deals with new multi-criteria decision-making methods which consider information imperfection, source reliability, importance and conflict, using fuzzy sets as well as possibility and belief function theories. Implemented methods consider information imperfection propagation and information fusion in total aggregation methods such as AHP (Saaty, 1980) or partial aggregation methods such as the Electre outranking method (see Soft Electre Tri ) or decisions in certain but also risky or uncertain contexts (see new COWA-ER and FOWA-ER- Cautious and Fuzzy Ordered Weighted Averaging-Evidential Reasoning). For example, the ER-MCDA methodology considers expert assessment as a multi-criteria decision process based on imperfect information provided by more or less heterogeneous, reliable and conflicting sources: it mixes AHP, fuzzy sets theory, possibility theory and belief function theory using DSmT (Dezert-Smarandache Theory) framework which provides powerful fusion rules.

ARL and Association 3.0: Ten Management Challenges

ERIC Educational Resources Information Center

Funk, Carla J.

2009-01-01

Association management in today's "association 3.0" environment presents some new challenges and new perspectives on old ones. This paper summarizes 10 such challenges including collaboration, diversity, innovation, transparency, financial stability, member benefits, knowledge-based decision-making, a demand-driven association model, pro-activity…

COLLABORATIVE RESEARCH, MONITORING AND ASSESSMENT IN THE MID-ATLANTIC REGION

EPA Science Inventory

EPA Region 3 to implement a long-term research, monitoring, and assessment program in the Mid-Atlantic region - the Mid-Atlantic Integrated Assessment (MAIA). The MAIA mission is to develop a broad-based partnership to integrate scientific knowledge into the decision-making proc...

Applying artificial intelligence technology to support decision-making in nursing: A case study in Taiwan.

PubMed

Liao, Pei-Hung; Hsu, Pei-Ti; Chu, William; Chu, Woei-Chyn

2015-06-01

This study applied artificial intelligence to help nurses address problems and receive instructions through information technology. Nurses make diagnoses according to professional knowledge, clinical experience, and even instinct. Without comprehensive knowledge and thinking, diagnostic accuracy can be compromised and decisions may be delayed. We used a back-propagation neural network and other tools for data mining and statistical analysis. We further compared the prediction accuracy of the previous methods with an adaptive-network-based fuzzy inference system and the back-propagation neural network, identifying differences in the questions and in nurse satisfaction levels before and after using the nursing information system. This study investigated the use of artificial intelligence to generate nursing diagnoses. The percentage of agreement between diagnoses suggested by the information system and those made by nurses was as much as 87 percent. When patients are hospitalized, we can calculate the probability of various nursing diagnoses based on certain characteristics. © The Author(s) 2013.

Tire Changes, Fresh Air, and Yellow Flags: Challenges in Predictive Analytics for Professional Racing.

PubMed

Tulabandhula, Theja; Rudin, Cynthia

2014-06-01

Our goal is to design a prediction and decision system for real-time use during a professional car race. In designing a knowledge discovery process for racing, we faced several challenges that were overcome only when domain knowledge of racing was carefully infused within statistical modeling techniques. In this article, we describe how we leveraged expert knowledge of the domain to produce a real-time decision system for tire changes within a race. Our forecasts have the potential to impact how racing teams can optimize strategy by making tire-change decisions to benefit their rank position. Our work significantly expands previous research on sports analytics, as it is the only work on analytical methods for within-race prediction and decision making for professional car racing.

Development of an expert system for assessing trumpeter swan breeding habitat in the Northern Rocky Mountains.

USGS Publications Warehouse

Sojda, Richard S.; Cornely, John E.; Howe, Adele E.

2002-01-01

A decision support system for the management of the Rocky Mountain Population of Trumpeter Swans (Cygnus buccinators) is being developed. As part of this, three expert systems are also in development: one for assessing the quality of Trumpeter Swan breeding habitat; one for making water level recommendations in montane, palustrine wetlands; and one for assessing the contribution a particular site can make towards meeting objectives from as flyway perspective. The focus of this paper is the development of the breeding habitat expert system, which currently consists of 157 rules. Out purpose is to provide decision support for issues that appear to be beyond the capability of a single persons to conceptualize and solve. We propose that by involving multiple experts in the development and use of the systems, management will be significantly improved. The knowledge base for the expert system has been developed using standard knowledge engineering techniques with a small team of ecological experts. Knowledge was then coded using production rules organized in decision trees using a commercial expert system development shell. The final system has been deployed on the world wide web.

Active and passive spatial learning in human navigation: acquisition of survey knowledge.

PubMed

Chrastil, Elizabeth R; Warren, William H

2013-09-01

It seems intuitively obvious that active exploration of a new environment would lead to better spatial learning than would passive visual exposure. It is unclear, however, which components of active learning contribute to spatial knowledge, and previous literature is decidedly mixed. This experiment tests the contributions of 4 components to metric survey knowledge: visual, vestibular, and podokinetic information and cognitive decision making. In the learning phase, 6 groups of participants learned the locations of 8 objects in a virtual hedge maze by (a) walking, (b) being pushed in a wheelchair, or (c) watching a video, crossed with (1) making decisions about their path or (2) being guided through the maze. In the test phase, survey knowledge was assessed by having participants walk a novel shortcut from a starting object to the remembered location of a test object, with the maze removed. Performance was slightly better than chance in the passive video condition. The addition of vestibular information did not improve performance in the wheelchair condition, but the addition of podokinetic information significantly improved angular accuracy in the walking condition. In contrast, there was no effect of decision making in any condition. The results indicate that visual and podokinetic information significantly contribute to survey knowledge, whereas vestibular information and decision making do not. We conclude that podokinetic information is the primary component of active learning for the acquisition of metric survey knowledge. PsycINFO Database Record (c) 2013 APA, all rights reserved.

The missing link: Creating science policies that facilitate the use of research in environmental and water-related decision-making

NASA Astrophysics Data System (ADS)

Dilling, L.; Pielke, R.; Sarewitz, D.

2005-12-01

Despite all good intentions, it is clear that science intended to serve decision making needs often fails to achieve that purpose. The aftermath of Hurricane Katrina provides a recent, tragic example. The reasons for failures of science to support decision making are varied. Researchers studying forecasts of climate variability have found, for example, cases where information provided is not needed; information is needed but not provided; information lacks regional specificity; information is provided in an inaccessible form; poor communication exists between potential users and providers; there is a lack of trust in information or deliverers; institutional constraints prevent use of new information; and so on. Traditional science policies have institutionalized the separation of the conduct of science from its application and use. It is clear that as long as such a separation, reinforced by tradition, institution and culture, is the dominant paradigm of science policies, the efficient and effective use of science in environmental and water-related decision making will be hampered. We introduce here a research methodology for examining the decision making involved in setting science policies for research aimed at being useful. Based on the economic concept, the notion of "reconciling supply and demand" for information offers a framework for identifying missed opportunities where science policies can be adjusted to improve the usefulness of a given research portfolio. We present results from a case study focused on internal science policies and decision making within the Regional Integrated Sciences and Assessments (RISA) projects. The RISA program aims to "expand the range of choices available to private and public communities in a region, by...enabling practical decisions...using research-based knowledge" and so provides an excellent opportunity for harvesting lessons for creating usable science.

Empowering occupational therapists to become evidence-based work rehabilitation practitioners.

PubMed

Vachon, Brigitte; Durand, Marie-José; LeBlanc, Jeannette

2010-01-01

Occupational therapists (OTs) engage in continuing education to integrate best available knowledge and skills into their practice. However, many barriers influence the degree to which they are currently able to integrate research evidence into their clinical decision making process. The specific objectives were to explore the clinical decision-making processes they used, and to describe the empowerment process they developed to become evidence-based practitioners. Eight OTs, who had attended a four-day workshop on evidence-based work rehabilitation, were recruited to participate to a reflective practice group. A collaborative research methodology was used. The group was convened for 12 meetings and held during a 15-month period. The data collected was analyzed using the grounded theory method. The results revealed the different decision-making modes used by OTs: defensive, repressed, cautious, autonomous intuitive and autonomous thoughtful. These modes influenced utilization of evidence and determined the stances taken toward practice change. Reflective learning facilitated their utilization of an evidence-based practice model through a three-level empowerment process: deliberateness, client-centeredness and system mindedness. During the course of this study, participants learned to become evidence-based practitioners. This process had an impact on how they viewed their clients, their practice and the work rehabilitation system.

Localising and tailoring research evidence helps public health decision making.

PubMed

van der Graaf, Peter; Cheetham, Mandy; McCabe, Karen; Rushmer, Rosemary

2018-05-29

Published research evidence is typically not readily applicable to practice but needs to be actively mobilised. This paper explores the mechanisms used by information professionals with a specific knowledge mobilisation role to make evidence useful for local decision making and planning of public health interventions. Data are drawn from a NIHR project that studied how, when, where and by whom published research evidence is used in commissioning and planning across two sites (one in England and one in Scotland). Data included 11 in-depth interviews with information professionals, observations at meetings and documentary analysis. Published research evidence is made fit for local commissioning and planning purposes by information professionals through two mechanisms. They localise evidence (relate evidence to local context and needs) and tailor it (present actionable messages). Knowledge mobilisation roles of information professionals are not recognised and researched. Information professionals contribute to the 'inform' and 'relational' functions of knowledge mobilisation; however, they are less involved in improving the institutional environment for sustainable knowledge sharing. Information professionals are instrumental in shaping what evidence enters local decision making processes. Identifying and supporting knowledge mobilisation roles within health libraries should be the focus of future research and training. © 2018 Health Libraries Group.

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

Expert knowledge maps for knowledge management: a case study in Traditional Chinese Medicine research.

PubMed

Cui, Meng; Yang, Shuo; Yu, Tong; Yang, Ce; Gao, Yonghong; Zhu, Haiyan

2013-10-01

To design a model to capture information on the state and trends of knowledge creation, at both an individual and an organizational level, in order to enhance knowledge management. We designed a graph-theoretic knowledge model, the expert knowledge map (EKM), based on literature-based annotation. A case study in the domain of Traditional Chinese Medicine research was used to illustrate the usefulness of the model. The EKM successfully captured various aspects of knowledge and enhanced knowledge management within the case-study organization through the provision of knowledge graphs, expert graphs, and expert-knowledge biography. Our model could help to reveal the hot topics, trends, and products of the research done by an organization. It can potentially be used to facilitate knowledge learning, sharing and decision-making among researchers, academicians, students, and administrators of organizations.

PRIOR-WK&E: Social Software for Policy Making in the Knowledge Society

NASA Astrophysics Data System (ADS)

Turón, Alberto; Aguarón, Juan; Escobar, María Teresa; Gallardo, Carolina; Moreno-Jiménez, José María; Salazar, José Luis

This paper presents a social software application denominated as PRIOR-WK&E. It has been developed by the Zaragoza Multicriteria Decision Making Group (GDMZ) with the aim of responding to the challenges of policy making in the Knowledge Society. Three specific modules have been added to PRIOR, the collaborative tool used by the research group (GDMZ) for considering the multicriteria selection of a discrete set of alternatives. The first module (W), that deals with multiactor decision making through the Web, and the second (K), that concerns the extraction and diffusion of knowledge related to the scientific resolution of the problem, were explained in [1]. The new application strengthens securitization and includes a third module (E) that evaluates the effectiveness of public administrations policy making.

How updating textual clinical practice guidelines impacts clinical decision support systems: a case study with bladder cancer management.

PubMed

Bouaud, Jacques; Séroussi, Brigitte; Brizon, Ambre; Culty, Thibault; Mentré, France; Ravery, Vincent

2007-01-01

Guideline-based clinical decision support systems (CDSSs) can be effective in increasing physician compliance with recommendations. However, the ever growing pace at which medical knowledge is produced requires that clinical practice guidelines (CPGs) be updated regularly. It is therefore mandatory that CDSSs be revised accordingly. The French Association for Urology publishes CPGs on bladder cancer management every 2 years. We studied the impact of the 2004 revision of these guidelines, with respect to the 2002 version with a CDSS, UroDoc. We proposed a typology of knowledge base modifications resulting from the update of CPGs making the difference between practice, clinical conditions and recommendations refinement as opposed to new practice and new recommendations. The number of formalized recommendations increased from 577 in 2002 to 1,081 in 2004. We evaluated the two versions of UroDoc on a randomized sample of patient records. A single new practice that modifies a decision taken in 49% of all recorded decisions leads to a fall from 67% to 46% of the compliance rate of decisions.

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.

Health technology assessment-based development of a Spanish breast cancer patient decision aid.

PubMed

Izquierdo, Fátima; Gracia, Javier; Guerra, Mercedes; Blasco, Juan Antonio; Andradas, Elena

2011-10-01

The aim of this study was to develop a breast cancer Patient Decision Aid (PDA), using a Health Technology Assessment (HTA) process, to assist patients in their choice of therapeutic options, and to promote shared decision making among patients, healthcare professionals, and other interested parties. A systematic review (SR) was conducted of existing breast cancer patient Decision Aids encountered in the main scientific journal databases and on institutional Web sites that create PDAs, together with a Qualitative Research (QR) study, using semi-structured interviews and focus group with stakeholders (patients, family members, and health professionals), with the aim of developing a PDA for breast cancer. The SR shows that PDAs in breast cancer not only increase patient knowledge of the illness, leading to more realistic expectations of treatment outcomes, but also reduce passivity in the decision-making process and facilitate the appropriate choice of treatment options in accordance with patient medical and personal preferences. The analysis of QR shows that both breast cancer patients and healthcare professionals agree that surgery, adjuvant treatments, and breast reconstruction represent the most important decisions to be made. Worry, anxiety, optimism, and trust in healthcare professionals were determined as factors that most affected patients subjective experiences of the illness. This HTA was used as the basis for developing a PDA software program. The SR and QR used in the development of this PDA for breast cancer allowed patients to access information, gain additional knowledge of their illness, make shared treatment decisions, and gave healthcare professionals a deeper insight into patient experiences of the disease.

Fuzzy Based Decision Support System for Condition Assessment and Rating of Bridges

NASA Astrophysics Data System (ADS)

Srinivas, Voggu; Sasmal, Saptarshi; Karusala, Ramanjaneyulu

2016-09-01

In this work, a knowledge based decision support system has been developed to efficiently handle the issues such as distress diagnosis, assessment of damages and condition rating of existing bridges towards developing an exclusive and robust Bridge Management System (BMS) for sustainable bridges. The Knowledge Based Expert System (KBES) diagnoses the distresses and finds the cause of distress in the bridge by processing the data which are heuristic and combined with site inspection results, laboratory test results etc. The coupling of symbolic and numeric type of data has been successfully implemented in the expert system to strengthen its decision making process. Finally, the condition rating of the bridge is carried out using the assessment results obtained from the KBES and the information received from the bridge inspector. A systematic procedure has been developed using fuzzy mathematics for condition rating of bridges by combining the fuzzy weighted average and resolution identity technique. The proposed methodologies and the decision support system will facilitate in developing a robust and exclusive BMS for a network of bridges across the country and allow the bridge engineers and decision makers to carry out maintenance of bridges in a rational and systematic way.

Linking Effective Project Management to Business Strategy in Oil and Gas Industry through Decision-making Processes

NASA Astrophysics Data System (ADS)

Adeleke, Adeyinka

The construction project in the oil and gas industry covers the entire spectrum of hydrocarbon production from the wellhead (upstream) to downstream facilities. In each of these establishments, the activities in a construction project include: consulting, studies, front-end engineering, detail engineering, procurement, program management, construction, installation, commissioning and start-up. Efficient management of each of the activities involved in construction projects is one of the driving forces for the successful completion of the project. Optimizing the crucial factors in project management during each phase of a project in an oil and gas industry can assist managers to maximize the use of available resources and drive the project to successful conclusions. One of these factors is the decision-making process in the construction project. Current research effort investigated the relationship between decision-making processes and business strategy in oil and gas industry using employee surveys. I recruited employees of different races, age group, genders, and years of experience in order understand their influence on the implementation of the decision-making process in oil and gas industry through a quantitative survey. Decision-making was assessed using five decision measures: (a) rational, (b) intuitive, (c) dependent, (d) avoidant, and (e) spontaneous. The findings indicated gender, age, years of work experience and job titles as primary variables with a negative relationship with decision-making approach for employees working in a major oil and gas industry. The study results revealed that the two most likely decision-making methods in oil and gas industry include: making a decision in a logical and systematic way and seek assistance from others when making a decision. Additionally, the two leading management approaches to decision-making in the oil and gas industry include: decision analysis is part of organization culture and management is committed to the decision-making process. Some recommendations for future studies were presented based on the need to intensify the importance of the current study and enlarge the body of knowledge regarding decision-making process in oil and gas industry.

Fair process: managing in the knowledge economy.

PubMed

Kim, W C; Mauborgne, R

1997-01-01

Unlike the traditional factors of production--land, labor, and capital--knowledge is a resource that can't be forced out of people. But creating and sharing knowledge is essential to fostering innovation, the key challenge of the knowledge-based economy. To create a climate in which employees volunteer their creativity and expertise, managers need to look beyond the traditional tools at their disposal. They need to build trust. The authors have studied the links between trust, idea sharing, and corporate performance for more than a decade. They have explored the question of why managers of local subsidiaries so often fail to share information with executives at headquarters. They have studied the dynamics of idea sharing in product development teams, joint ventures, supplier partnerships, and corporate transformations. They offer an explanation for why people resist change even when it would benefit them directly. In every case, the decisive factor was what the authors call fair process--fairness in the way a company makes and executes decisions. The elements of fair process are simple: Engage people's input in decisions that directly affect them. Explain why decisions are made the way they are. Make clear what will be expected of employees after the changes are made. Fair process may sound like a soft issue, but it is crucial to building trust and unlocking ideas. Without it, people are apt to withhold their full cooperation and their creativity. The results are costly: ideas that never see daylight and initiatives that are never seized.

[Vitality as a criterion of the prognosis in the treatment of premature children?].

PubMed

Brinchmann, B S

1999-08-30

The aim of this study was to generate knowledge about the ethical decision-making processes nurses and physicians are faced with in a neonatal unit. What are the ethical assessments underlying decisions about whether to start, continue or stop medical treatment of very sick premature babies? The theoretical framework was deontological ethics, utilitarianism, Aristotelian virtue ethics theory and an ethics of proximity. A descriptive study design with 120 hours of field observations and 22 qualitative in-depth interviews was chosen. Strauss & Glaser's comparative method, grounded theory, was used to analyze the field observations and interviews. The findings seem to indicate that ethical decisions are somewhat ambivalent. Experience does not always make these decisions easier. There are indications that nurses and physicians use elements from all the different ethical positions. In situations of ambiguity, decisions are also based upon the vitality of the babies.

Web based collaborative decision making in flood risk management

NASA Astrophysics Data System (ADS)

Evers, Mariele; Almoradie, Adrian; Jonoski, Andreja

2014-05-01

Stakeholder participation in the development of flood risk management (FRM) plans is essential since stakeholders often have a better understanding or knowledge of the potentials and limitation of their local area. Moreover, a participatory approach also creates trust amongst stakeholders, leading to a successful implementation of measures. Stakeholder participation however has its challenges and potential pitfalls that could lead to its premature termination. Such challenges and pitfalls are the limitation of financial resources, stakeholders' spatial distribution and their interest to participate. Different type of participation in FRM may encounter diverse challenges. These types of participation in FRM can be classified into (1) Information and knowledge sharing (IKS), (2) Consultative participation (CP) or (3) Collaborative decision making (CDM)- the most challenging type of participation. An innovative approach to address these challenges and potential pitfalls is a web-based mobile or computer-aided environment for stakeholder participation. This enhances the remote interaction between participating entities such as stakeholders. This paper presents a developed framework and an implementation of CDM web based environment for the Alster catchment (Hamburg, Germany) and Cranbrook catchment (London, UK). The CDM framework consists of two main stages: (1) Collaborative modelling and (2) Participatory decision making. This paper also highlights the stakeholder analyses, modelling approach and application of General Public License (GPL) technologies in developing the web-based environments. Actual test and evaluation of the environments was through series of stakeholders workshops. The overall results based from stakeholders' evaluation shows that web-based environments can address the challenges and potential pitfalls in stakeholder participation and it enhances participation in flood risk management. The web-based environment was developed within the DIANE-CM project (Decentralised Integrated Analysis and Enhancement of Awareness through Collaborative Modelling and Management of Flood Risk) of the 2nd ERANET CRUE funding initiative.

Efficacy of a Web-based Intelligent Tutoring System for Communicating Genetic Risk of Breast Cancer: A Fuzzy-Trace Theory Approach

PubMed Central

Wolfe, Christopher R.; Reyna, Valerie F.; Widmer, Colin L.; Cedillos, Elizabeth M.; Fisher, Christopher R.; Brust-Renck, Priscila G.; Weil, Audrey M.

2014-01-01

Background Many healthy women consider genetic testing for breast cancer risk, yet BRCA testing issues are complex. Objective Determining whether an intelligent tutor, BRCA Gist, grounded in fuzzy-trace theory (FTT), increases gist comprehension and knowledge about genetic testing for breast cancer risk, improving decision-making. Design In two experiments, 410 healthy undergraduate women were randomly assigned to one of three groups: an online module using a web-based tutoring system (BRCA Gist) that uses artificial intelligence technology, a second group read highly similar content from the NCI web site, and a third completed an unrelated tutorial. Intervention BRCA Gist applied fuzzy trace theory and was designed to help participants develop gist comprehension of topics relevant to decisions about BRCA genetic testing, including how breast cancer spreads, inherited genetic mutations, and base rates. Measures We measured content knowledge, gist comprehension of decision-relevant information, interest in testing, and genetic risk and testing judgments. Results Control knowledge scores ranged from 54% to 56%, NCI improved significantly to 65% and 70%, and BRCA Gist improved significantly more to 75% and 77%, p<.0001. BRCA Gist scored higher on gist comprehension than NCI and control, p<.0001. Control genetic risk-assessment mean was 48% correct; BRCA Gist (61%), and NCI (56%) were significantly higher, p<.0001. BRCA Gist participants recommended less testing for women without risk factors (not good candidates), (24% and 19%) than controls (50%, both experiments) and NCI, (32%) Experiment 2, p<.0001. BRCA Gist testing interest was lower than controls, p<.0001. Limitations BRCA Gist has not been tested with older women from diverse groups. Conclusions Intelligent tutors, such as BRCA Gist, are scalable, cost effective ways of helping people understand complex issues, improving decision-making. PMID:24829276

Middle-aged women's decisions about body weight management: needs assessment and testing of a knowledge translation tool.

PubMed

Stacey, Dawn; Jull, Janet; Beach, Sarah; Dumas, Alex; Strychar, Irene; Adamo, Kristi; Brochu, Martin; Prud'homme, Denis

2015-04-01

This study aims to assess middle-aged women's needs when making body weight management decisions and to evaluate a knowledge translation tool for addressing their needs. A mixed-methods study used an interview-guided theory-based survey of professional women aged 40 to 65 years. The tool summarized evidence to address their needs and enabled women to monitor actions taken. Acceptability and usability were reported descriptively. Sixty female participants had a mean body mass index of 28.0 kg/m(2) (range, 17.0-44.9 kg/m(2)), and half were premenopausal. Common options for losing (82%) or maintaining (18%) weight included increasing physical activity (60%), eating healthier (57%), and getting support (40%). Decision-making involved getting information on options (52%), soliciting others' decisions/advice (20%), and being self-motivated (20%). Preferred information sources included written information (97%), counseling (90%), and social networking websites (43%). Five professionals (dietitian, personal trainer, occupational therapist, and two physicians) had similar responses. Of 53 women sent the tool, 27 provided acceptability feedback. They rated it as good to excellent for information on menopause (96%), body weight changes (85%), and managing body weight (85%). Most would tell others about it (81%). After 4 weeks of use, 25 women reported that the wording made sense (96%) and that the tool had clear instructions (92%) and was easy to use across time (88%). The amount of information was rated as just right (64%), but the tool had limited space for responding (72%). When making decisions about body weight management, women's needs were "getting information" and "getting support." The knowledge translation tool was acceptable and usable, but further evaluation is required.

Middle-aged women’s decisions about body weight management: needs assessment and testing of a knowledge translation tool

PubMed Central

Stacey, Dawn; Jull, Janet; Beach, Sarah; Dumas, Alex; Strychar, Irene; Adamo, Kristi; Brochu, Martin; Prud’homme, Denis

2015-01-01

Abstract Objective This study aims to assess middle-aged women’s needs when making body weight management decisions and to evaluate a knowledge translation tool for addressing their needs. Methods A mixed-methods study used an interview-guided theory-based survey of professional women aged 40 to 65 years. The tool summarized evidence to address their needs and enabled women to monitor actions taken. Acceptability and usability were reported descriptively. Results Sixty female participants had a mean body mass index of 28.0 kg/m2 (range, 17.0-44.9 kg/m2), and half were premenopausal. Common options for losing (82%) or maintaining (18%) weight included increasing physical activity (60%), eating healthier (57%), and getting support (40%). Decision-making involved getting information on options (52%), soliciting others’ decisions/advice (20%), and being self-motivated (20%). Preferred information sources included written information (97%), counseling (90%), and social networking websites (43%). Five professionals (dietitian, personal trainer, occupational therapist, and two physicians) had similar responses. Of 53 women sent the tool, 27 provided acceptability feedback. They rated it as good to excellent for information on menopause (96%), body weight changes (85%), and managing body weight (85%). Most would tell others about it (81%). After 4 weeks of use, 25 women reported that the wording made sense (96%) and that the tool had clear instructions (92%) and was easy to use across time (88%). The amount of information was rated as just right (64%), but the tool had limited space for responding (72%). Conclusions When making decisions about body weight management, women’s needs were “getting information” and “getting support.” The knowledge translation tool was acceptable and usable, but further evaluation is required. PMID:25816120

Faculty Perceptions of Problem-Based Learning in a Veterinary College

ERIC Educational Resources Information Center

Malinowski, Robert

2012-01-01

Problem-based learning (PBL) has been embraced by several veterinary colleges as one approach to manage the ever-growing body of knowledge in the profession. The goal is to foster the development of problem-solving and critical thinking skills in students, enabling them to make logical and informed decisions, rather than rely on the rote…

Knowledge Management in Public Health: Examining the Role of a Web-Based Reporting System for Tobacco Control

ERIC Educational Resources Information Center

Gottlieb, Amy Sue

2009-01-01

The importance and use of data and information to make sound programmatic decisions are receiving increased attention as state and federal funding for public health programs grows tighter and as demands for accountability continue. This dissertation provides insight into fundamental questions regarding the utilization of a Web-based reporting…

The environmental management problem of Pohorje, Slovenia: A new group approach within ANP - SWOT framework.

PubMed

Grošelj, Petra; Zadnik Stirn, Lidija

2015-09-15

Environmental management problems can be dealt with by combining participatory methods, which make it possible to include various stakeholders in a decision-making process, and multi-criteria methods, which offer a formal model for structuring and solving a problem. This paper proposes a three-phase decision making approach based on the analytic network process and SWOT (strengths, weaknesses, opportunities and threats) analysis. The approach enables inclusion of various stakeholders or groups of stakeholders in particular stages of decision making. The structure of the proposed approach is composed of a network consisting of an objective cluster, a cluster of strategic goals, a cluster of SWOT factors and a cluster of alternatives. The application of the suggested approach is applied to a management problem of Pohorje, a mountainous area in Slovenia. Stakeholders from sectors that are important for Pohorje (forestry, agriculture, tourism and nature protection agencies) who can offer a wide range of expert knowledge were included in the decision-making process. The results identify the alternative of "sustainable development" as the most appropriate for development of Pohorje. The application in the paper offers an example of employing the new approach to an environmental management problem. This can also be applied to decision-making problems in various other fields. Copyright © 2015 Elsevier Ltd. All rights reserved.

Gendered uncertainty and variation in physicians' decisions for coronary heart disease: the double-edged sword of "atypical symptoms".

PubMed

Welch, Lisa C; Lutfey, Karen E; Gerstenberger, Eric; Grace, Matthew

2012-09-01

Nonmedical factors and diagnostic certainty contribute to variation in clinical decision making, but the process by which this occurs remains unclear. We examine how physicians' interpretations of patient sex-gender affect diagnostic certainty and, in turn, decision making for coronary heart disease. Data are from a factorial experiment of 256 physicians who viewed 1 of 16 video vignettes with different patient-actors presenting the same symptoms of coronary heart disease. Physician participants completed a structured interview and provided a narrative about their decision-making processes. Quantitative analysis showed that diagnostic uncertainty reduces the likelihood that physicians will order tests and medications appropriate for an urgent cardiac condition in particular. Qualitative analysis revealed that a subset of physicians applied knowledge that women have "atypical symptoms" as a generalization, which engendered uncertainty for some. Findings are discussed in relation to social-psychological processes that underlie clinical decision making and the social framing of medical knowledge.

Gendered Uncertainty and Variation in Physicians’ Decisions for Coronary Heart Disease: The Double-Edged Sword of “Atypical Symptoms”*

PubMed Central

Welch, Lisa C.; Lutfey, Karen E.; Gerstenberger, Eric; Grace, Matthew

2013-01-01

Nonmedical factors and diagnostic certainty contribute to variation in clinical decision making, but the process by which this occurs remains unclear. We examine how physicians’ interpretations of patient sex/gender affect diagnostic certainty and, in turn, decision making for coronary heart disease (CHD). Data are from a factorial experiment of 256 physicians who viewed one of 16 video vignettes with different patient-actors presenting the same CHD symptoms. Physician participants completed a structured interview and provided a narrative about their decision-making processes. Quantitative analysis showed that diagnostic uncertainty reduces the likelihood that physicians will order tests and medications appropriate for an urgent cardiac condition in particular. Qualitative analysis revealed that a subset of physicians applied knowledge that women have “atypical symptoms” as a generalization, which engendered uncertainty for some. Findings are discussed in relation to social-psychological processes that underlie clinical decision making and the social framing of medical knowledge. PMID:22933590

A knowledge-based approach to identification and adaptation in dynamical systems control

NASA Technical Reports Server (NTRS)

Glass, B. J.; Wong, C. M.

1988-01-01

Artificial intelligence techniques are applied to the problems of model form and parameter identification of large-scale dynamic systems. The object-oriented knowledge representation is discussed in the context of causal modeling and qualitative reasoning. Structured sets of rules are used for implementing qualitative component simulations, for catching qualitative discrepancies and quantitative bound violations, and for making reconfiguration and control decisions that affect the physical system. These decisions are executed by backward-chaining through a knowledge base of control action tasks. This approach was implemented for two examples: a triple quadrupole mass spectrometer and a two-phase thermal testbed. Results of tests with both of these systems demonstrate that the software replicates some or most of the functionality of a human operator, thereby reducing the need for a human-in-the-loop in the lower levels of control of these complex systems.

The contingency of patient preferences for involvement in health decision making.

PubMed

Ryan, John; Sysko, James

2007-01-01

Studies indicate that better patient compliance and higher patient satisfaction result when agreement exists between the physician and the patient regarding the medical problem and its treatment. This study will extend previous work by investigating (1) under what conditions patients prefer to be actively involved in their treatment decisions, (2) the underlying theoretical reasons that may account for patient decision-making preferences, and (3) what medical decision-making model can guide physicians and medical policy makers when adapting their medical decision-making styles. A total of 2,765 individuals were surveyed by the National Opinion Research Center as part of the 2002 General Social Survey (GSS). This survey included a one-time topical module on "Doctors and Patients," which incorporated questions on patient preferences concerning the physician-patient relationship. Demographic information (e.g., age, education, and sex) was analyzed against patient preferences for medical decision making. Results support patient preferences for participatory medical decision making, and this is especially true for younger, more educated, and female patients. Common prudence would suggest that the best way to determine a patient's preference for participating in medical decision making is to simply ask them. However, the very asking of this straightforward question is based on the assumption that patients do wish to be actively involved. Results of this study support such an assumption. In the absence of all other knowledge, the results of this national survey support the health care practitioner's belief that U.S. patients, in general, have a preference for being actively involved in medical decision making and that this preference is truer for younger, female, and more educated patients.

A gut feeling? Intuition and critical care nursing.

PubMed

Hams, S P

2000-10-01

As nurses, we are knowledgeable about nursing and able, immediately and intuitively, to identify the needs and demands of a given situation. Experienced nurses practise intuitively by virtue of having developed, through critical thought, a deeply grounded knowledge base that can be applied in daily practice. Each gains knowledge about nursing practice in such a way that every clinical experience becomes a lesson which informs the next experience. There is continued debate over the domain of nursing knowledge, where it originates and to whom it belongs. Much of nursing knowledge has emerged from the practice of other professions. There now appears to be an increasing focus within today's modern healthcare environment on the importance of measurable outcomes and the need to predict the consequences of all interventions. The strength of our intuition often urges us to do something more for the patient. When we as nurses report our intuitions, subjective feelings are often at odds with the objective signs and symptoms. Nurses have made great strides in recognizing, analysing and teaching concepts related to logical, rational decision-making. It is imperative, however, also to recognize and teach the concepts related to the intuitive and precognitive components of making decisions in clinical practice.

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

PubMed

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

2015-08-01

This research aims to depict the methodological steps and tools about the combined operation of case-based reasoning (CBR) and multi-agent system (MAS) to expose the ontological application in the field of clinical decision support. The multi-agent architecture works for the consideration of the whole cycle of clinical decision-making adaptable to many medical aspects such as the diagnosis, prognosis, treatment, therapeutic monitoring of gastric cancer. In the multi-agent architecture, the ontological agent type employs the domain knowledge to ease the extraction of similar clinical cases and provide treatment suggestions to patients and physicians. Ontological agent is used for the extension of domain hierarchy and the interpretation of input requests. Case-based reasoning memorizes and restores experience data for solving similar problems, with the help of matching approach and defined interfaces of ontologies. A typical case is developed to illustrate the implementation of the knowledge acquisition and restitution of medical experts. Copyright © 2015 Elsevier Inc. All rights reserved.

Information systems: the key to evidence-based health practice.

PubMed Central

Rodrigues, R. J.

2000-01-01

Increasing prominence is being given to the use of best current evidence in clinical practice and health services and programme management decision-making. The role of information in evidence-based practice (EBP) is discussed, together with questions of how advanced information systems and technology (IS&T) can contribute to the establishment of a broader perspective for EBP. The author examines the development, validation and use of a variety of sources of evidence and knowledge that go beyond the well-established paradigm of research, clinical trials, and systematic literature review. Opportunities and challenges in the implementation and use of IS&T and knowledge management tools are examined for six application areas: reference databases, contextual data, clinical data repositories, administrative data repositories, decision support software, and Internet-based interactive health information and communication. Computerized and telecommunications applications that support EBP follow a hierarchy in which systems, tasks and complexity range from reference retrieval and the processing of relatively routine transactions, to complex "data mining" and rule-driven decision support systems. PMID:11143195

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.

An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.

PubMed

Shen, Ying; Yuan, Kaiqi; Chen, Daoyuan; Colloc, Joël; Yang, Min; Li, Yaliang; Lei, Kai

2018-03-01

The available antibiotic decision-making systems were developed from a physician's perspective. However, because infectious diseases are common, many patients desire access to knowledge via a search engine. Although the use of antibiotics should, in principle, be subject to a doctor's advice, many patients take them without authorization, and some people cannot easily or rapidly consult a doctor. In such cases, a reliable antibiotic prescription support system is needed. This study describes the construction and optimization of the sensitivity and specificity of a decision support system named IDDAP, which is based on ontologies for infectious disease diagnosis and antibiotic therapy. The ontology for this system was constructed by collecting existing ontologies associated with infectious diseases, syndromes, bacteria and drugs into the ontology's hierarchical conceptual schema. First, IDDAP identifies a potential infectious disease based on a patient's self-described disease state. Then, the system searches for and proposes an appropriate antibiotic therapy specifically adapted to the patient based on factors such as the patient's body temperature, infection sites, symptoms/signs, complications, antibacterial spectrum, contraindications, drug-drug interactions between the proposed therapy and previously prescribed medication, and the route of therapy administration. The constructed domain ontology contains 1,267,004 classes, 7,608,725 axioms, and 1,266,993 members of "SubClassOf" that pertain to infectious diseases, bacteria, syndromes, anti-bacterial drugs and other relevant components. The system includes 507 infectious diseases and their therapy methods in combination with 332 different infection sites, 936 relevant symptoms of the digestive, reproductive, neurological and other systems, 371 types of complications, 838,407 types of bacteria, 341 types of antibiotics, 1504 pairs of reaction rates (antibacterial spectrum) between antibiotics and bacteria, 431 pairs of drug interaction relationships and 86 pairs of antibiotic-specific population contraindicated relationships. Compared with the existing infectious disease-relevant ontologies in the field of knowledge comprehension, this ontology is more complete. Analysis of IDDAP's performance in terms of classifiers based on receiver operating characteristic (ROC) curve results (89.91%) revealed IDDAP's advantages when combined with our ontology. This study attempted to bridge the patient/caregiver gap by building a sophisticated application that uses artificial intelligence and machine learning computational techniques to perform data-driven decision-making at the point of primary care. The first level of decision-making is conducted by the IDDAP and provides the patient with a first-line therapy. Patients can then make a subjective judgment, and if any questions arise, should consult a physician for subsequent decisions, particularly in complicated cases or in cases in which the necessary information is not yet available in the knowledge base. Copyright © 2018 Elsevier B.V. All rights reserved.

Knowledge based ranking algorithm for comparative assessment of post-closure care needs of closed landfills.

PubMed

Sizirici, Banu; Tansel, Berrin; Kumar, Vivek

2011-06-01

Post-closure care (PCC) activities at landfills include cap maintenance; water quality monitoring; maintenance and monitoring of the gas collection/control system, leachate collection system, groundwater monitoring wells, and surface water management system; and general site maintenance. The objective of this study was to develop an integrated data and knowledge based decision making tool for preliminary estimation of PCC needs at closed landfills. To develop the decision making tool, 11 categories of parameters were identified as critical areas which could affect future PCC needs. Each category was further analyzed by detailed questions which could be answered with limited data and knowledge about the site, its history, location, and site specific characteristics. Depending on the existing knowledge base, a score was assigned to each question (on a scale 1-10, as 1 being the best and 10 being the worst). Each category was also assigned a weight based on its relative importance on the site conditions and PCC needs. The overall landfill score was obtained from the total weighted sum attained. Based on the overall score, landfill conditions could be categorized as critical, acceptable, or good. Critical condition indicates that the landfill may be a threat to the human health and the environment and necessary steps should be taken. Acceptable condition indicates that the landfill is currently stable and the monitoring should be continued. Good condition indicates that the landfill is stable and the monitoring activities can be reduced in the future. The knowledge base algorithm was applied to two case study landfills for preliminary assessment of PCC performance. Copyright © 2011 Elsevier Ltd. All rights reserved.