Evidence-based decision making in health care settings: from theory to practice.
Kohn, Melanie Kazman; Berta, Whitney; Langley, Ann; Davis, David
2011-01-01
The relatively recent attention that evidence-based decision making has received in health care management has been at least in part due to the profound influence of evidence-based medicine. The result has been several comparisons in the literature between the use of evidence in health care management decisions and the use of evidence in medical decision making. Direct comparison, however, may be problematic, given the differences between medicine and management as they relate to (1) the nature of evidence that is brought to bear on decision making; (2) the maturity of empirical research in each field (in particular, studies that have substantiated whether or not and how evidence-based decision making is enacted); and (3) the context within which evidence-based decisions are made. By simultaneously reviewing evidence-based medicine and management, this chapter aims to inform future theorizing and empirical research on evidence-based decision making in health care settings.
Federal Register 2010, 2011, 2012, 2013, 2014
2013-07-22
...--Evidence-Based Decision Making in State and Local Criminal Justice Systems: Planning and Development for... Evidence-Based Decision Making (EBDM) in Local Criminal Justice Systems initiative. It will require the... will also revise ``A Framework for Evidence- Based Decision Making in Local Criminal Justice Systems...
2010-01-01
Background Current healthcare systems have extended the evidence-based medicine (EBM) approach to health policy and delivery decisions, such as access-to-care, healthcare funding and health program continuance, through attempts to integrate valid and reliable evidence into the decision making process. These policy decisions have major impacts on society and have high personal and financial costs associated with those decisions. Decision models such as these function under a shared assumption of rational choice and utility maximization in the decision-making process. Discussion We contend that health policy decision makers are generally unable to attain the basic goals of evidence-based decision making (EBDM) and evidence-based policy making (EBPM) because humans make decisions with their naturally limited, faulty, and biased decision-making processes. A cognitive information processing framework is presented to support this argument, and subtle cognitive processing mechanisms are introduced to support the focal thesis: health policy makers' decisions are influenced by the subjective manner in which they individually process decision-relevant information rather than on the objective merits of the evidence alone. As such, subsequent health policy decisions do not necessarily achieve the goals of evidence-based policy making, such as maximizing health outcomes for society based on valid and reliable research evidence. Summary In this era of increasing adoption of evidence-based healthcare models, the rational choice, utility maximizing assumptions in EBDM and EBPM, must be critically evaluated to ensure effective and high-quality health policy decisions. The cognitive information processing framework presented here will aid health policy decision makers by identifying how their decisions might be subtly influenced by non-rational factors. In this paper, we identify some of the biases and potential intervention points and provide some initial suggestions about how the EBDM/EBPM process can be improved. PMID:20504357
McCaughey, Deirdre; Bruning, Nealia S
2010-05-26
Current healthcare systems have extended the evidence-based medicine (EBM) approach to health policy and delivery decisions, such as access-to-care, healthcare funding and health program continuance, through attempts to integrate valid and reliable evidence into the decision making process. These policy decisions have major impacts on society and have high personal and financial costs associated with those decisions. Decision models such as these function under a shared assumption of rational choice and utility maximization in the decision-making process. We contend that health policy decision makers are generally unable to attain the basic goals of evidence-based decision making (EBDM) and evidence-based policy making (EBPM) because humans make decisions with their naturally limited, faulty, and biased decision-making processes. A cognitive information processing framework is presented to support this argument, and subtle cognitive processing mechanisms are introduced to support the focal thesis: health policy makers' decisions are influenced by the subjective manner in which they individually process decision-relevant information rather than on the objective merits of the evidence alone. As such, subsequent health policy decisions do not necessarily achieve the goals of evidence-based policy making, such as maximizing health outcomes for society based on valid and reliable research evidence. In this era of increasing adoption of evidence-based healthcare models, the rational choice, utility maximizing assumptions in EBDM and EBPM, must be critically evaluated to ensure effective and high-quality health policy decisions. The cognitive information processing framework presented here will aid health policy decision makers by identifying how their decisions might be subtly influenced by non-rational factors. In this paper, we identify some of the biases and potential intervention points and provide some initial suggestions about how the EBDM/EBPM process can be improved.
Evidence-based practice of transfusion medicine: is it possible and what do the words mean?
Vamvakas, Eleftherios C
2004-10-01
Evidence-based medicine (EBM) optimizes clinical decision making by dictating that clinical decisions be based on the best available research evidence and by integrating best research evidence with clinical expertise and patient values. Several rankings of the strength of the evidence generated from different types of clinical research designs have been presented, and, in addressing a particular problem, clinicians can base their decision making on the types of clinical reports that have been published, along with an assessment of the strengths and weaknesses of each study. At a policy level, the concept of EBM would dictate that policy decisions also be made based on the best available research evidence. In transfusion medicine, however, decisions are based on a broader range of inputs, and the criteria for evaluating the efficacy and/or cost-effectiveness of proposed interventions differ from those used in other areas. Reasons why policy decisions are often based on considerations other than the best research evidence include public expectations about transfusion safety and proposals for applying the precautionary principle to transfusion medicine. Using the debate over the appropriateness of introducing universal white-cell reduction as an example, this review describes 2 perspectives for assessing evidence and/or making clinical or policy decisions: the evidence-based approach and the precautionary-principle approach; and also considers whether decisions in transfusion medicine can be truly evidence based.
Health decision making: lynchpin of evidence-based practice.
Spring, Bonnie
2008-01-01
Health decision making is both the lynchpin and the least developed aspect of evidence-based practice. The evidence-based practice process requires integrating the evidence with consideration of practical resources and patient preferences and doing so via a process that is genuinely collaborative. Yet, the literature is largely silent about how to accomplish integrative, shared decision making. for evidence-based practice are discussed for 2 theories of clinician decision making (expected utility and fuzzy trace) and 2 theories of patient health decision making (transtheoretical model and reasoned action). Three suggestions are offered. First, it would be advantageous to have theory-based algorithms that weight and integrate the 3 data strands (evidence, resources, preferences) in different decisional contexts. Second, patients, not providers, make the decisions of greatest impact on public health, and those decisions are behavioral. Consequently, theory explicating how provider-patient collaboration can influence patient lifestyle decisions made miles from the provider's office is greatly needed. Third, although the preponderance of data on complex decisions supports a computational approach, such an approach to evidence-based practice is too impractical to be widely applied at present. More troublesomely, until patients come to trust decisions made computationally more than they trust their providers' intuitions, patient adherence will remain problematic. A good theory of integrative, collaborative health decision making remains needed.
Health Decision Making: Lynchpin of Evidence-Based Practice
Spring, Bonnie
2008-01-01
Health decision making is both the lynchpin and the least developed aspect of evidence-based practice. The evidence-based practice process requires integrating the evidence with consideration of practical resources and patient preferences and doing so via a process that is genuinely collaborative. Yet, the literature is largely silent about how to accomplish integrative, shared decision making. Implications for evidence-based practice are discussed for 2 theories of clinician decision making (expected utility and fuzzy trace) and 2 theories of patient health decision making (transtheoretical model and reasoned action). Three suggestions are offered. First, it would be advantageous to have theory-based algorithms that weight and integrate the 3 data strands (evidence, resources, preferences) in different decisional contexts. Second, patients, not providers, make the decisions of greatest impact on public health, and those decisions are behavioral. Consequently, theory explicating how provider-patient collaboration can influence patient lifestyle decisions made miles from the provider's office is greatly needed. Third, although the preponderance of data on complex decisions supports a computational approach, such an approach to evidence-based practice is too impractical to be widely applied at present. More troublesomely, until patients come to trust decisions made computationally more than they trust their providers’ intuitions, patient adherence will remain problematic. A good theory of integrative, collaborative health decision making remains needed. PMID:19015288
Shared decision making in chronic care in the context of evidence based practice in nursing.
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.
Dolan, James G
2010-01-01
Current models of healthcare quality recommend that patient management decisions be evidence-based and patient-centered. Evidence-based decisions require a thorough understanding of current information regarding the natural history of disease and the anticipated outcomes of different management options. Patient-centered decisions incorporate patient preferences, values, and unique personal circumstances into the decision making process and actively involve both patients along with health care providers as much as possible. Fundamentally, therefore, evidence-based, patient-centered decisions are multi-dimensional and typically involve multiple decision makers.Advances in the decision sciences have led to the development of a number of multiple criteria decision making methods. These multi-criteria methods are designed to help people make better choices when faced with complex decisions involving several dimensions. They are especially helpful when there is a need to combine "hard data" with subjective preferences, to make trade-offs between desired outcomes, and to involve multiple decision makers. Evidence-based, patient-centered clinical decision making has all of these characteristics. This close match suggests that clinical decision support systems based on multi-criteria decision making techniques have the potential to enable patients and providers to carry out the tasks required to implement evidence-based, patient-centered care effectively and efficiently in clinical settings.The goal of this paper is to give readers a general introduction to the range of multi-criteria methods available and show how they could be used to support clinical decision-making. Methods discussed include the balance sheet, the even swap method, ordinal ranking methods, direct weighting methods, multi-attribute decision analysis, and the analytic hierarchy process (AHP).
Dolan, James G.
2010-01-01
Current models of healthcare quality recommend that patient management decisions be evidence-based and patient-centered. Evidence-based decisions require a thorough understanding of current information regarding the natural history of disease and the anticipated outcomes of different management options. Patient-centered decisions incorporate patient preferences, values, and unique personal circumstances into the decision making process and actively involve both patients along with health care providers as much as possible. Fundamentally, therefore, evidence-based, patient-centered decisions are multi-dimensional and typically involve multiple decision makers. Advances in the decision sciences have led to the development of a number of multiple criteria decision making methods. These multi-criteria methods are designed to help people make better choices when faced with complex decisions involving several dimensions. They are especially helpful when there is a need to combine “hard data” with subjective preferences, to make trade-offs between desired outcomes, and to involve multiple decision makers. Evidence-based, patient-centered clinical decision making has all of these characteristics. This close match suggests that clinical decision support systems based on multi-criteria decision making techniques have the potential to enable patients and providers to carry out the tasks required to implement evidence-based, patient-centered care effectively and efficiently in clinical settings. The goal of this paper is to give readers a general introduction to the range of multi-criteria methods available and show how they could be used to support clinical decision-making. Methods discussed include the balance sheet, the even swap method, ordinal ranking methods, direct weighting methods, multi-attribute decision analysis, and the analytic hierarchy process (AHP) PMID:21394218
Barratt, Alexandra
2008-12-01
Evidence Based Medicine (EBM) and Shared Medical Decision Making (SDM) are changing the nature of health care decisions. It is broadly accepted that health care decisions require the integration of research evidence and individual preferences. These approaches are justified on both efficacy grounds (that evidence based practice and Shared Decision Making should lead to better health outcomes and may lead to a more cost-effective use of health care resources) and ethical grounds (patients' autonomy should be respected in health care). However, despite endorsement by physicians and consumers of these approaches, implementation remains limited in practice, particularly outside academic and tertiary health care centres. There are practical problems of implementation, which include training, access to research, and development of and access to tools to display evidence and support decision making. There may also be philosophical difficulties, and some have even suggested that the two approaches (evidence based practice and Shared Decision Making) are fundamentally incompatible. This paper look at the achievements of EBM and SDM so far, the potential tensions between them, and how things might progress in the future.
Evidence-based management - healthcare manager viewpoints.
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.
Supporting decision-making processes for evidence-based mental health promotion.
Jané-Llopis, Eva; Katschnig, Heinz; McDaid, David; Wahlbeck, Kristian
2011-12-01
The use of evidence is critical in guiding decision-making, but evidence from effect studies will be only one of a number of factors that will need to be taken into account in the decision-making processes. Equally important for policymakers will be the use of different types of evidence including implementation essentials and other decision-making principles such as social justice, political, ethical, equity issues, reflecting public attitudes and the level of resources available, rather than be based on health outcomes alone. This paper, aimed to support decision-makers, highlights the importance of commissioning high-quality evaluations, the key aspects to assess levels of evidence, the importance of supporting evidence-based implementation and what to look out for before, during and after implementation of mental health promotion and mental disorder prevention programmes.
Reddy, K Srikanth; Sahay, Seema
2016-01-01
This study explores decision makers' perspectives on evidence-based policy (EBP) development using the case of TB/HIV co-infection in India. Twelve in-depth interviews were conducted with purposively selected key national and international policy decision makers in India. Verbatim transcripts were processed and analysed thematically using QSR (NUD*IST 6). The decision makers were unequivocal in recognizing the TB/HIV co-infection as an important public health issue in India and stated the problem to be different than Africa. The need of having a "third programme" for co-infection was not felt. According to them, the public health management of this co-infection must be within the realm of these two programmes. The study also emphasized on decision makers' perspectives on evidence and the process of utilization of evidence for decision-making for co-infection. Study findings showed global evidence was not always accepted by the decision makers and study shows several examples of decision makers demanding local evidence for policy decisions. Decision makers did make interim policies based on global evidence but most of the time their mandate was to get local evidence. Thus, operations research/implementation science especially multi-centric studies emerge as important strategy for EBP development. Researcher-policy maker interface was a gap where role of researcher as aggressive communicator of research findings was expected.
ERIC Educational Resources Information Center
Whitmire, Kathleen A.; Rivers, Kenyatta O.; Mele-McCarthy, Joan A.; Staskowski, Maureen
2014-01-01
Speech-language pathologists are faced with demands for evidence to support practice. Federal legislation requires high-quality evidence for decisions regarding school-based services as part of evidence-based practice. The purpose of this article is to discuss the limited scientific evidence for making appropriate decisions about speech-language…
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.
In the teeth of the evidence: the curious case of evidence-based medicine.
Davidoff, F
1999-03-01
For a very long time, evidence from research has contributed to clinical decision making. Over the past 50 years, however, the nature of clinical research evidence has drastically changed compared with previous eras: its standards are higher, the tools for assembling and analyzing it are more powerful, and the context in which it is used is less authoritarian. The consequence has been a shift in both the concept and the practice of clinical decision making known as evidence-based medicine. Evidence-based decisions, by definition, use the strongest available evidence, are often more quantitatively informed than decisions made in the traditional fashion; and sometimes run counter to expert opinion. The techniques of evidence-based medicine are also helpful in resolving conflicting opinions. Evidence-based medicine did not simply appear in vacuo; its roots extend back at least as far as the great French Encyclopedia of the 18th century, and the subsequent work of Pierre Louis in Paris in the early 19th century. The power of the evidence-based approach has been enhanced in recent years by the development of the techniques of systematic review and meta-analysis. While this approach has its critics, we would all want the best available evidence used in making decisions about our care if we got sick. It is only fair that the patients under our care receive nothing less.
Evidence-based coverage decisions? Primum non nocere.
McElwee, Newell E; Ho, S Yin; McGuigan, Kimberly A; Horn, Mark L
2006-01-01
Drug class reviews are blunt tools for medical decision making. The practice of evidence-based medicine is far more than simply systematic reviews: The patient and doctor are integral. Here we highlight areas of evidence-based coverage decision making where greater balance and transparency could serve to improve the current process, and we recommend elements of a more positive approach that could optimize patient outcomes under resource constraints.
[The role of research-based evidence in health system policy decision-making].
Patiño, Daniel; Lavis, John N; Moat, Kaelan
2013-01-01
Different models may be used for explaining how research-based evidence is used in healthcare system policy-making. It is argued that models arising from a clinical setting (i.e. evidence-based policy-making model) could be useful regarding some types of healthcare system decision-making. However, such models are "silent" concerning the influence of political contextual factors on healthcare policy-making and are thus inconsistent with decision-making regarding the modification of healthcare system arrangements. Other political science-based models would seem to be more useful for understanding that research is just one factor affecting decision-making and that different types of research-based evidence can be used instrumentally, conceptual or strategically during different policy-making stages.
Jack, Susan M; Dobbins, Maureen; Sword, Wendy; Novotna, Gabriela; Brooks, Sandy; Lipman, Ellen L; Niccols, Alison
2011-11-07
Effective approaches to the prevention and treatment of substance abuse among mothers have been developed but not widely implemented. Implementation studies suggest that the adoption of evidence-based practices in the field of addictions remains low. There is a need, therefore, to better understand decision making processes in addiction agencies in order to develop more effective approaches to promote the translation of knowledge gained from addictions research into clinical practice. A descriptive qualitative study was conducted to explore: 1) the types and sources of evidence used to inform practice-related decisions within Canadian addiction agencies serving women; 2) how decision makers at different levels report using research evidence; and 3) factors that influence evidence-informed decision making. A purposeful sample of 26 decision-makers providing addiction treatment services to women completed in-depth qualitative interviews. Interview data were coded and analyzed using directed and summative content analysis strategies as well as constant comparison techniques. Across all groups, individuals reported locating and using multiple types of evidence to inform decisions. Some decision-makers rely on their experiential knowledge of addiction and recovery in decision-making. Research evidence is often used directly in decision-making at program management and senior administrative levels. Information for decision-making is accessed from a range of sources, including web-based resources and experts in the field. Individual and organizational facilitators and barriers to using research evidence in decision making were identified. There is support at administrative levels for integrating EIDM in addiction agencies. Knowledge transfer and exchange strategies should be focussed towards program managers and administrators and include capacity building for locating, appraising and using research evidence, knowledge brokering, and for partnering with universities. Resources are required to maintain web-based databases of searchable evidence to facilitate access to research evidence. A need exists to address the perception that there is a paucity of research evidence available to inform program decisions. Finally, there is a need to consider how experiential knowledge influences decision-making and what guidance research evidence has to offer regarding the implementation of different treatment approaches within the field of addictions.
2011-01-01
Background Effective approaches to the prevention and treatment of substance abuse among mothers have been developed but not widely implemented. Implementation studies suggest that the adoption of evidence-based practices in the field of addictions remains low. There is a need, therefore, to better understand decision making processes in addiction agencies in order to develop more effective approaches to promote the translation of knowledge gained from addictions research into clinical practice. Methods A descriptive qualitative study was conducted to explore: 1) the types and sources of evidence used to inform practice-related decisions within Canadian addiction agencies serving women; 2) how decision makers at different levels report using research evidence; and 3) factors that influence evidence-informed decision making. A purposeful sample of 26 decision-makers providing addiction treatment services to women completed in-depth qualitative interviews. Interview data were coded and analyzed using directed and summative content analysis strategies as well as constant comparison techniques. Results Across all groups, individuals reported locating and using multiple types of evidence to inform decisions. Some decision-makers rely on their experiential knowledge of addiction and recovery in decision-making. Research evidence is often used directly in decision-making at program management and senior administrative levels. Information for decision-making is accessed from a range of sources, including web-based resources and experts in the field. Individual and organizational facilitators and barriers to using research evidence in decision making were identified. Conclusions There is support at administrative levels for integrating EIDM in addiction agencies. Knowledge transfer and exchange strategies should be focussed towards program managers and administrators and include capacity building for locating, appraising and using research evidence, knowledge brokering, and for partnering with universities. Resources are required to maintain web-based databases of searchable evidence to facilitate access to research evidence. A need exists to address the perception that there is a paucity of research evidence available to inform program decisions. Finally, there is a need to consider how experiential knowledge influences decision-making and what guidance research evidence has to offer regarding the implementation of different treatment approaches within the field of addictions. PMID:22059528
Towards Evidence-Based Practice in Language Intervention for Bilingual Children
ERIC Educational Resources Information Center
Thordardottir, Elin
2010-01-01
Evidence-based practice requires that clinical decisions be based on evidence from rigorously controlled research studies. At this time, very few studies have directly examined the efficacy of clinical intervention methods for bilingual children. Clinical decisions for this population cannot, therefore, be based on the strongest forms of research…
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.
Research Practice Partnerships: A Strategy for Promoting Evidence-Based Decision-Making in Education
ERIC Educational Resources Information Center
Wentworth, Laura; Mazzeo, Christopher; Connolly, Faith
2017-01-01
Background: In the United States, an emphasis on evidence-based decision-making in education has received renewed interest with the recent passage of the Every Student Succeeds Act. However, how best, in practice, to support the use of evidence in educational decision-making remains unclear. Research Practice Partnerships (RPPs) are a popular…
Wang, Bing; Wu, Chao; Shi, Bo; Huang, Lang
2017-12-01
In safety management (SM), it is important to make an effective safety decision based on the reliable and sufficient safety-related information. However, many SM failures in organizations occur for a lack of the necessary safety-related information for safety decision-making. Since facts are the important basis and foundation for decision-making, more efforts to seek the best evidence relevant to a particular SM problem would lead to a more effective SM solution. Therefore, the new paradigm for decision-making named "evidence-based practice (EBP)" can hold important implications for SM, because it uses the current best evidence for effective decision-making. Based on a systematic review of existing SM approaches and an analysis of reasons why we need new SM approaches, we created a new SM approach called evidence-based safety (EBS) management by introducing evidence-based practice into SM. It was necessary to create new SM approaches. A new SM approach called EBS was put forward, and the basic questions of EBS such as its definition and core were analyzed in detail. Moreover, the determinants of EBS included manager's attitudes towards EBS; evidence-based consciousness in SM; evidence sources; technical support; EBS human resources; organizational culture; and individual attributes. EBS is a new and effective approach to teaching the practice of SM. Of course, further research on EBS should be carried out to make EBS a reality. Practical applications: Our work can provide a new and effective idea and method to teach the practice of SM. Specifically, EBS proposed in our study can help safety professionals make an effective safety decision based on a firm foundation of high-grade evidence. Copyright © 2017 National Safety Council and Elsevier Ltd. All rights reserved.
ERIC Educational Resources Information Center
Spencer, Trina D.; Petersen, Douglas B.; Gillam, Sandra L.
2008-01-01
Evidence-based practice (EBP) refers to clinical decisions as a result of the careful integration of research evidence and student needs. Legal mandates such as No Child Left Behind require teachers to employ evidence-based practices in their classrooms, yet teachers receive little guidance regarding how to determine which practices are…
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…
Characteristics of knowledge content in a curated online evidence library.
Varada, Sowmya; Lacson, Ronilda; Raja, Ali S; Ip, Ivan K; Schneider, Louise; Osterbur, David; Bain, Paul; Vetrano, Nicole; Cellini, Jacqueline; Mita, Carol; Coletti, Margaret; Whelan, Julia; Khorasani, Ramin
2018-05-01
To describe types of recommendations represented in a curated online evidence library, report on the quality of evidence-based recommendations pertaining to diagnostic imaging exams, and assess underlying knowledge representation. The evidence library is populated with clinical decision rules, professional society guidelines, and locally developed best practice guidelines. Individual recommendations were graded based on a standard methodology and compared using chi-square test. Strength of evidence ranged from grade 1 (systematic review) through grade 5 (recommendations based on expert opinion). Finally, variations in the underlying representation of these recommendations were identified. The library contains 546 individual imaging-related recommendations. Only 15% (16/106) of recommendations from clinical decision rules were grade 5 vs 83% (526/636) from professional society practice guidelines and local best practice guidelines that cited grade 5 studies (P < .0001). Minor head trauma, pulmonary embolism, and appendicitis were topic areas supported by the highest quality of evidence. Three main variations in underlying representations of recommendations were "single-decision," "branching," and "score-based." Most recommendations were grade 5, largely because studies to test and validate many recommendations were absent. Recommendation types vary in amount and complexity and, accordingly, the structure and syntax of statements they generate. However, they can be represented in single-decision, branching, and score-based representations. In a curated evidence library with graded imaging-based recommendations, evidence quality varied widely, with decision rules providing the highest-quality recommendations. The library may be helpful in highlighting evidence gaps, comparing recommendations from varied sources on similar clinical topics, and prioritizing imaging recommendations to inform clinical decision support implementation.
ERIC Educational Resources Information Center
Sheehan, Angela; Walrath-Greene, Christine; Fisher, Sylvia; Crossbear, Shannon; Walker, Joseph
2007-01-01
Data from the Evidence-based Treatment Survey were used to compare providers serving families in American Indian and Alaska Native communities to their counterparts in non-American Indian/Alaska Native communities on provider characteristics and factors that influence their decision to use evidence-based practices (N = 467). The findings suggest…
Beyond evidence-based nursing: tools for practice.
Jutel, Annemarie
2008-05-01
This commentary shares my views of evidence-based nursing as a framework for practice, pointing out its limitations and identifying a wider base of appraisal tools required for making good clinical decisions. As the principles of evidence-based nursing take an increasingly greater hold on nursing education, policy and management, it is important to consider the range of other decision-making tools which are subordinated by this approach. This article summarizes nursing's simultaneous reliance on and critique of evidence-based practice (EBP) in a context of inadequate critical reasoning. It then provides an exemplar of the limitations of evidence-based practice and offers an alternative view of important precepts of decision-making. I identify means by which nurses can develop skills to engage in informed and robust critique of practices and their underpinning rationale. Nurses need to be able to locate and assess useful and reliable information for decision-making. This skill is based on a range of tools which include, but also go beyond EBP including: information literacy, humanities, social sciences, public health, statistics, marketing, ethics and much more. This essay prompts nursing managers to reflect upon whether a flurried enthusiasm to adopt EBP neglects other important decision-making skills which provide an even stronger foundation for robust nursing decisions.
NASA Astrophysics Data System (ADS)
Wong, Jacqueline Yin Sang
2015-10-01
Evidence and explanatory mechanism are central to scientific practices. Using such information could also inform decisions about issues in which science can play some role, from policy issues like climate change to personal issues like vaccination. While research suggests that people tend to focus on non-science considerations when making science-related decisions, there is also evidence that people can reason very productively with evidence and mechanism. This study examines how the goals participants pursue when reading a science report influences how they attend to information about causal mechanism and evidence. Two hundred and seventeen high school students were asked either to evaluate the truth of a scientific claim, to make a personal decision based on the claim, or to make a social policy decision based on the claim using an online task-based survey. All three groups of participants attended to evidence and mechanism, but participants with different goals requested different types of information and were influenced by evidence and mechanism for different reasons. The findings suggest that goals influence how participants use evidence and mechanism.
Federal Register 2010, 2011, 2012, 2013, 2014
2012-07-10
...: Pretrial Technical Assistance for Evidence-Based Decision Making in Local Criminal Justice Systems AGENCY... NIC initiative, Evidence-Based Decision Making (EBDM) in Local Criminal Justice Systems. Work under... individual system planning activities. These change strategies are critical to meeting their system's harm...
Makam, Anil N; Nguyen, Oanh K
2017-01-10
Overtreatment is pervasive in medicine and leads to potential patient harms and excessive costs in health care. Although evidence-based medicine is often derided as practice by rote algorithmic medicine, the appropriate application of key evidence-based medicine principles in clinical decision making is fundamental to preventing overtreatment and promoting high-value, individualized patient-centered care. Specifically, this article discusses the importance of (1) using absolute rather than relative estimates of benefits to inform treatment decisions; (2) considering the time horizon to benefit of treatments; (3) balancing potential harms and benefits; and (4) using shared decision making by physicians to incorporate the patient's values and preferences into treatment decisions. Here, we illustrate the application of these principles to considering the decision of whether or not to recommend intensive glycemic control to patients to minimize microvascular and cardiovascular complications in type 2 diabetes mellitus. Through this lens, this example will illustrate how an evidence-based medicine approach can be used to individualize glycemic goals and prevent overtreatment, and can serve as a template for applying evidence-based medicine to inform treatment decisions for other conditions to optimize health and individualize patient care. © 2017 American Heart Association, Inc.
34 CFR 34.17 - Content of decision.
Code of Federal Regulations, 2013 CFR
2013-07-01
... decision. (a) The written decision is based on the evidence contained in the hearing record. The decision includes— (1) A description of the evidence considered by the hearing official; (2) The hearing official's... rights under this part for reconsideration of the decision. (b) The hearing official's decision is the...
Evidence-based practice of periodontics.
Cobb, Charles M; MacNeill, Simon R; Satheesh, Keerthana
2010-01-01
Evidence-based practice involves complex and conscientious decision making based not only on the available evidence but also on patient characteristics, situations, and preferences. It recognizes that care is individualized and ever-changing and involves uncertainties and probabilities. The specialty of periodontics has abundant high-level evidence upon which treatment decisions can be determined. This paper offers a brief commentary and overview of the available evidence commonly used in the private practice of periodontics.
Controlling Chronic Diseases Through Evidence-Based Decision Making: A Group-Randomized Trial.
Brownson, Ross C; Allen, Peg; Jacob, Rebekah R; deRuyter, Anna; Lakshman, Meenakshi; Reis, Rodrigo S; Yan, Yan
2017-11-30
Although practitioners in state health departments are ideally positioned to implement evidence-based interventions, few studies have examined how to build their capacity to do so. The objective of this study was to explore how to increase the use of evidence-based decision-making processes at both the individual and organization levels. We conducted a 2-arm, group-randomized trial with baseline data collection and follow-up at 18 to 24 months. Twelve state health departments were paired and randomly assigned to intervention or control condition. In the 6 intervention states, a multiday training on evidence-based decision making was conducted from March 2014 through March 2015 along with a set of supplemental capacity-building activities. Individual-level outcomes were evidence-based decision making skills of public health practitioners; organization-level outcomes were access to research evidence and participatory decision making. Mixed analysis of covariance models was used to evaluate the intervention effect by accounting for the cluster randomized trial design. Analysis was performed from March through May 2017. Participation 18 to 24 months after initial training was 73.5%. In mixed models adjusted for participant and state characteristics, the intervention group improved significantly in the overall skill gap (P = .01) and in 6 skill areas. Among the 4 organizational variables, only access to evidence and skilled staff showed an intervention effect (P = .04). Tailored and active strategies are needed to build capacity at the individual and organization levels for evidence-based decision making. Our study suggests several dissemination interventions for consideration by leaders seeking to improve public health practice.
ERIC Educational Resources Information Center
Fey, Marc E.
2006-01-01
Purpose: This paper is a personal reaction to Gillam and Gillam's treatise on evidence-based decision making in schools. This evaluation focuses principally on the costs and benefits of clinicians' search for external evidence, potential problems associated with efforts to grade that evidence, and the integration of this evidence with "internal"…
Agapova, Maria; Bresnahan, Brian B; Higashi, Mitchell; Kessler, Larry; Garrison, Louis P; Devine, Beth
2017-02-01
The American College of Radiology develops evidence-based practice guidelines to aid appropriate utilization of radiological procedures. Panel members use expert opinion to weight trade-offs and consensus methods to rate appropriateness of imaging tests. These ratings include an equivocal range, assigned when there is disagreement about a technology's appropriateness and the evidence base is weak or for special circumstances. It is not clear how expert consensus merges with the evidence base to arrive at an equivocal rating. Quantitative benefit-risk assessment (QBRA) methods may assist decision makers in this capacity. However, many methods exist and it is not clear which methods are best suited for this application. We perform a critical appraisal of QBRA methods and propose several steps that may aid in making transparent areas of weak evidence and barriers to consensus in guideline development. We identify QBRA methods with potential to facilitate decision making in guideline development and build a decision aid for selecting among these methods. This study identified 2 families of QBRA methods suited to guideline development when expert opinion is expected to contribute substantially to decision making. Key steps to deciding among QBRA methods involve identifying specific benefit-risk criteria and developing a state-of-evidence matrix. For equivocal ratings assigned for reasons other than disagreement or weak evidence base, QBRA may not be needed. In the presence of disagreement but the absence of a weak evidence base, multicriteria decision analysis approaches are recommended; and in the presence of weak evidence base and the absence of disagreement, incremental net health benefit alone or combined with multicriteria decision analysis is recommended. Our critical appraisal further extends investigation of the strengths and limitations of select QBRA methods in facilitating diagnostic radiology clinical guideline development. The process of using the decision aid exposes and makes transparent areas of weak evidence and barriers to consensus. © 2016 John Wiley & Sons, Ltd.
Local public health resource allocation: limited choices and strategic decisions.
Bekemeier, Betty; Chen, Anthony L-T; Kawakyu, Nami; Yang, Youngran
2013-12-01
Local health department leaders are expected to improve the health of their populations as they "use and contribute to" the evidence base for practice, but effectively providing and utilizing data and evidence for local public health decision making has proven difficult. This study was conducted in 2011 and initiated by Washington State's public health practice-based research network to identify factors influencing local resource allocation and programmatic decisions among public health leaders facing severe funding losses. Quantitative data informed sampling for the collection of interview data. Qualitative methods were used to capture diverse insights of Washington State's local public health leaders in making decisions regarding resource allocation. Local decision-making authority was perceived as greatly restricted by what public health activities were legally mandated and the categoric nature of funding sources, even as some leaders exercised deliberate strategic approaches. One's workforce and board of health were also influential in making decisions regarding resource allocations. Challenges were expressed regarding making use of data and research evidence for decision making. Data were analyzed in 2011-2012. Programmatic mandates, funding restrictions, local stakeholders, and workforce capacity appear to trump factors such as research evidence and perceived community need in public health resource allocation. Study findings highlight tensions between the literature descriptions of what "should" influence decision making in local public health and the realities of practice. Advancements in practice-based research and evidence-based decision making, however, provide opportunities for strengthening the development of evidence and research translation for local decision making to maximize resources and promote effective service provision. © 2013 American Journal of Preventive Medicine Published by American Journal of Preventive Medicine All rights reserved.
Integrating Evidence-based Decision Making into Allied Health Curricula.
ERIC Educational Resources Information Center
Forrest, Jane L.; Miller, Syrene A.
2001-01-01
Evidence-based decision making (EBDM) was incorporated into an institute for 42 dental hygiene, occupational therapy, and physical therapy faculty. The 4-day sessions addressed active teaching techniques, formulation of good questions, critical appraisal of evidence, and application, feedback, and evaluation. Most participants felt prepared to…
Evidence-Based Medicine in judicial decisions concerning right to healthcare
Dias, Eduardo Rocha; da Silva, Geraldo Bezerra
2016-01-01
ABSTRACT Objective To analyze, from the examination of decisions issued by Brazilian courts, how Evidence-Based Medicine was applied and if it led to well-founded decisions, searching the best scientific knowledge. Methods The decisions made by the Federal Courts were searched, with no time limits, at the website of the Federal Court Council, using the expression “Evidence-Based Medicine”. With regard to decisions issued by the court of the State of São Paulo, the search was done at the webpage and applying the same terms and criterion as to time. Next, a qualitative analysis of the decisions was conducted for each action, to verify if the patient/plaintiff’s situation, as well as the efficacy or inefficacy of treatments or drugs addressed in existing protocols were considered before the court granted the provision claimed by the plaintiff. Results In less than one-third of the decisions there was an appropriate discussion about efficacy of the procedure sought in court, in comparison to other procedures available in clinical guidelines adopted by the Brazilian Unified Health System (Sistema Único de Saúde) or by private health insurance plans, considering the individual situation. The majority of the decisions involved private health insurance plans (n=13, 68%). Conclusion The number of decisions that did consider scientific evidence and the peculiarities of each patient was a concern. Further discussion on Evidence-Based Medicine in judgments involving public healthcare are required. PMID:27074226
Evidence-based dentistry: fundamentals for the dentist.
Bauer, Janet; Chiappelli, Francesco; Spackman, Sue; Prolo, Paolo; Stevenson, Richard
2006-06-01
This article explains the fundamentals of evidence-based dentistry for the dentist. Evidence-based dentistry is a discipline whose primary participant is the translational researcher. Recent developments have emphasized the importance of this discipline (clinical and translational research) for improving health care. The process of evidence-based dentistry is the reciprocation of new and existing evidence between dentists and quantitative and qualitative researchers, facilitated by the translational researcher. The product of this reciprocation is the clinical practice guideline, or best evidence, that provides the patient options in choosing treatments or services. These options are quantified and qualified by decision, utility, and cost data. Using shared decision-making, the dentist and patient arrive at a mutual understanding of which option best meets an acceptable and preferred treatment course that is cost effective. This option becomes the clinical decision.
Brignardello-Petersen, Romina; Carrasco-Labra, Alonso; Booth, H Austin; Glick, Michael; Guyatt, Gordon H; Azarpazhooh, Amir; Agoritsas, Thomas
2014-12-01
Knowing how to search for evidence that can inform clinical decisions is a fundamental skill for the practice of evidence-based dentistry. There are many available types of evidence-based resources, characterized by their degrees of coverage of preappraised or summarized evidence at varying levels of processing, from primary studies to systematic reviews and clinical guidelines. The practice of evidence-based dentistry requires familiarity with these resources. In this article, the authors describe the process of searching for evidence: defining the question, identifying the question's nature and main components, and selecting the study design that best addresses the question.
Health professionals' decision-making in wound management: a grounded theory.
Gillespie, Brigid M; Chaboyer, Wendy; St John, Winsome; Morley, Nicola; Nieuwenhoven, Paul
2015-06-01
To develop a conceptual understanding of the decision-making processes used by healthcare professionals in wound care practice. With the global move towards using an evidence-base in standardizing wound care practices and the need to reduce hospital wound care costs, it is important to understand health professionals' decision-making in this important yet under-researched area. A grounded theory approach was used to explore clinical decision-making of healthcare professionals in wound care practice. Interviews were conducted with 20 multi-disciplinary participants from nursing, surgery, infection control and wound care who worked at a metropolitan hospital in Australia. Data were collected during 2012-2013. Constant comparative analysis underpinned by Strauss and Corbin's framework was used to identify clinical decision-making processes. The core category was 'balancing practice-based knowledge with evidence-based knowledge'. Participants' clinical practice and actions embedded the following processes: 'utilizing the best available information', 'using a consistent approach in wound assessment' and 'using a multidisciplinary approach'. The substantive theory explains how practice and evidence knowledge was balanced and the variation in use of intuitive practice-based knowledge versus evidence-based knowledge. Participants considered patients' needs and preferences, costs, outcomes, technologies, others' expertise and established practices. Participants' decision-making tended to be more heavily weighted towards intuitive practice-based processes. These findings offer a better understanding of the processes used by health professionals' in their decision-making in wound care. Such an understanding may inform the development of evidence-based interventions that lead to better patient outcomes. © 2014 John Wiley & Sons Ltd.
The Use of Economic Evidence to Inform Drug Pricing Decisions in Jordan.
Hammad, Eman A
2016-01-01
Drug pricing is an example of a priority setting in a developing country with official requirements for the use of cost-effectiveness (CE) evidence. To describe the role of economic evidence in drug pricing decisions in Jordan. A prospective review of all applications submitted between November 2013 and May 2015 to the Jordan Food and Drug Association's drug pricing committee was carried out. All applications that involved requests for CE evidence were reviewed. Details on the type of study, the extent, and whether the evidence submitted was part of the formal deliberations were extracted and summarized. The committee reviewed a total of 1608 drug pricing applications over the period of the study. CE evidence was requested in only 11 applications. The submitted evidence was of limited use to the committee due to concerns about quality, relevance of studies, and lack of pharmacoeconomic expertise. There were also no clear rules describing how CE would inform pricing decisions. Limited local data and health economic experience were the main barriers to the use of economic evidence in drug pricing decisions in Jordan. In addition, there are no official rules describing the elements and process by which the CE evidence would inform drug pricing decisions. This study summarized accumulated observations for the current use of economic evaluations and evidence-based decision making in Jordan. Recommendations have been proposed to applicants and key decision makers to enhance the role of economic evidence in influencing health policies and evidence-based decision making across priority settings. Copyright © 2016 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
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…
Federal Register 2010, 2011, 2012, 2013, 2014
2012-07-11
... policymaking bodies to collectively improve the effectiveness and capacity of their decision making related to...-based decision making in local criminal justice systems. The goal of Phase I of the initiative was to... principle product of Phase I of this initiative was the Evidence-Based Decision Making Framework in Local...
Designing Computerized Decision Support That Works for Clinicians and Families
Fiks, Alexander G.
2011-01-01
Evidence-based decision-making is central to the practice of pediatrics. Clinical trials and other biomedical research provide a foundation for this process, and practice guidelines, drawing from their results, inform the optimal management of an increasing number of childhood health problems. However, many clinicians fail to adhere to guidelines. Clinical decision support delivered using health information technology, often in the form of electronic health records, provides a tool to deliver evidence-based information to the point of care and has the potential to overcome barriers to evidence-based practice. An increasing literature now informs how these systems should be designed and implemented to most effectively improve outcomes in pediatrics. Through the examples of computerized physician order entry, as well as the impact of alerts at the point of care on immunization rates, the delivery of evidence-based asthma care, and the follow-up of children with attention deficit hyperactivity disorder, the following review addresses strategies for success in using these tools. The following review argues that, as decision support evolves, the clinician should no longer be the sole target of information and alerts. Through the Internet and other technologies, families are increasingly seeking health information and gathering input to guide health decisions. By enlisting clinical decision support systems to deliver evidence-based information to both clinicians and families, help families express their preferences and goals, and connect families to the medical home, clinical decision support may ultimately be most effective in improving outcomes. PMID:21315295
34 CFR 34.17 - Content of decision.
Code of Federal Regulations, 2011 CFR
2011-07-01
... 34 Education 1 2011-07-01 2011-07-01 false Content of decision. 34.17 Section 34.17 Education Office of the Secretary, Department of Education ADMINISTRATIVE WAGE GARNISHMENT § 34.17 Content of decision. (a) The written decision is based on the evidence contained in the hearing record. The decision includes— (1) A description of the evidence...
Perceptual Decisions in the Presence of Relevant and Irrelevant Sensory Evidence
Anders, Ursula M.; McLean, Charlotte S.; Ouyang, Bowen; Ditterich, Jochen
2017-01-01
Perceptual decisions in the presence of decision-irrelevant sensory information require a selection of decision-relevant sensory evidence. To characterize the mechanism that is responsible for separating decision-relevant from irrelevant sensory information we asked human subjects to make judgments about one of two simultaneously present motion components in a random dot stimulus. Subjects were able to ignore the decision-irrelevant component to a large degree, but their decisions were still influenced by the irrelevant sensory information. Computational modeling revealed that this influence was not simply the consequence of subjects forgetting at times which stimulus component they had been instructed to base their decision on. Instead, residual irrelevant information always seems to be leaking through, and the decision process is captured by a net sensory evidence signal being accumulated to a decision threshold. This net sensory evidence is a linear combination of decision-relevant and irrelevant sensory information. The selection process is therefore well-described by a strong linear gain modulation, which, in our experiment, resulted in the relevant sensory evidence having at least 10 times more impact on the decision than the irrelevant evidence. PMID:29176941
Perceptual Decisions in the Presence of Relevant and Irrelevant Sensory Evidence.
Anders, Ursula M; McLean, Charlotte S; Ouyang, Bowen; Ditterich, Jochen
2017-01-01
Perceptual decisions in the presence of decision-irrelevant sensory information require a selection of decision-relevant sensory evidence. To characterize the mechanism that is responsible for separating decision-relevant from irrelevant sensory information we asked human subjects to make judgments about one of two simultaneously present motion components in a random dot stimulus. Subjects were able to ignore the decision-irrelevant component to a large degree, but their decisions were still influenced by the irrelevant sensory information. Computational modeling revealed that this influence was not simply the consequence of subjects forgetting at times which stimulus component they had been instructed to base their decision on. Instead, residual irrelevant information always seems to be leaking through, and the decision process is captured by a net sensory evidence signal being accumulated to a decision threshold. This net sensory evidence is a linear combination of decision-relevant and irrelevant sensory information. The selection process is therefore well-described by a strong linear gain modulation, which, in our experiment, resulted in the relevant sensory evidence having at least 10 times more impact on the decision than the irrelevant evidence.
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.
ERIC Educational Resources Information Center
Hoylman, Elizabeth Anne
2017-01-01
This non-experimental, descriptive study explored the perceptions of PK-12 policymakers in West Virginia regarding the sources of information they use in the decision-making process; whether and how evidence-based research is relied upon; whether evidence-based research is considered credible and usable; and what barriers, facilitators, and…
Evidence-based librarianship: an overview.
Eldredge, J D
2000-10-01
To demonstrate how the core characteristics of both evidence-based medicine (EBM) and evidence-based health care (EBHC) can be adapted to health sciences librarianship. Narrative review essay involving development of a conceptual framework. The author describes the central features of EBM and EBHC. Following each description of a central feature, the author then suggests ways that this feature applies to health sciences librarianship. First, the decision-making processes of EBM and EBHC are compatible with health sciences librarianship. Second, the EBM and EBHC values of favoring rigorously produced scientific evidence in decision making are congruent with the core values of librarianship. Third, the hierarchical levels of evidence can be applied to librarianship with some modifications. Library researchers currently favor descriptive-survey and case-study methods over systematic reviews, randomized controlled trials, or other higher levels of evidence. The library literature nevertheless contains diverse examples of randomized controlled trials, controlled-comparison studies, and cohort studies conducted by health sciences librarians. Health sciences librarians are confronted with making many practical decisions. Evidence-based librarianship offers a decision-making framework, which integrates the best available research evidence. By employing this framework and the higher levels of research evidence it promotes, health sciences librarians can lay the foundation for more collaborative and scientific endeavors.
Evidence-based librarianship: an overview
Eldredge, Jonathan D.
2000-01-01
Objective: To demonstrate how the core characteristics of both evidence-based medicine (EBM) and evidence-based health care (EBHC) can be adapted to health sciences librarianship. Method: Narrative review essay involving development of a conceptual framework. The author describes the central features of EBM and EBHC. Following each description of a central feature, the author then suggests ways that this feature applies to health sciences librarianship. Results: First, the decision-making processes of EBM and EBHC are compatible with health sciences librarianship. Second, the EBM and EBHC values of favoring rigorously produced scientific evidence in decision making are congruent with the core values of librarianship. Third, the hierarchical levels of evidence can be applied to librarianship with some modifications. Library researchers currently favor descriptive-survey and case-study methods over systematic reviews, randomized controlled trials, or other higher levels of evidence. The library literature nevertheless contains diverse examples of randomized controlled trials, controlled-comparison studies, and cohort studies conducted by health sciences librarians. Conclusions: Health sciences librarians are confronted with making many practical decisions. Evidence-based librarianship offers a decision-making framework, which integrates the best available research evidence. By employing this framework and the higher levels of research evidence it promotes, health sciences librarians can lay the foundation for more collaborative and scientific endeavors. PMID:11055296
Trevena, Lyndal J; Zikmund-Fisher, Brian J; Edwards, Adrian; Gaissmaier, Wolfgang; Galesic, Mirta; Han, Paul K J; King, John; Lawson, Margaret L; Linder, Suzanne K; Lipkus, Isaac; Ozanne, Elissa; Peters, Ellen; Timmermans, Danielle; Woloshin, Steven
2013-01-01
Making evidence-based decisions often requires comparison of two or more options. Research-based evidence may exist which quantifies how likely the outcomes are for each option. Understanding these numeric estimates improves patients' risk perception and leads to better informed decision making. This paper summarises current "best practices" in communication of evidence-based numeric outcomes for developers of patient decision aids (PtDAs) and other health communication tools. An expert consensus group of fourteen researchers from North America, Europe, and Australasia identified eleven main issues in risk communication. Two experts for each issue wrote a "state of the art" summary of best evidence, drawing on the PtDA, health, psychological, and broader scientific literature. In addition, commonly used terms were defined and a set of guiding principles and key messages derived from the results. The eleven key components of risk communication were: 1) Presenting the chance an event will occur; 2) Presenting changes in numeric outcomes; 3) Outcome estimates for test and screening decisions; 4) Numeric estimates in context and with evaluative labels; 5) Conveying uncertainty; 6) Visual formats; 7) Tailoring estimates; 8) Formats for understanding outcomes over time; 9) Narrative methods for conveying the chance of an event; 10) Important skills for understanding numerical estimates; and 11) Interactive web-based formats. Guiding principles from the evidence summaries advise that risk communication formats should reflect the task required of the user, should always define a relevant reference class (i.e., denominator) over time, should aim to use a consistent format throughout documents, should avoid "1 in x" formats and variable denominators, consider the magnitude of numbers used and the possibility of format bias, and should take into account the numeracy and graph literacy of the audience. A substantial and rapidly expanding evidence base exists for risk communication. Developers of tools to facilitate evidence-based decision making should apply these principles to improve the quality of risk communication in practice.
2013-01-01
Background Making evidence-based decisions often requires comparison of two or more options. Research-based evidence may exist which quantifies how likely the outcomes are for each option. Understanding these numeric estimates improves patients’ risk perception and leads to better informed decision making. This paper summarises current “best practices” in communication of evidence-based numeric outcomes for developers of patient decision aids (PtDAs) and other health communication tools. Method An expert consensus group of fourteen researchers from North America, Europe, and Australasia identified eleven main issues in risk communication. Two experts for each issue wrote a “state of the art” summary of best evidence, drawing on the PtDA, health, psychological, and broader scientific literature. In addition, commonly used terms were defined and a set of guiding principles and key messages derived from the results. Results The eleven key components of risk communication were: 1) Presenting the chance an event will occur; 2) Presenting changes in numeric outcomes; 3) Outcome estimates for test and screening decisions; 4) Numeric estimates in context and with evaluative labels; 5) Conveying uncertainty; 6) Visual formats; 7) Tailoring estimates; 8) Formats for understanding outcomes over time; 9) Narrative methods for conveying the chance of an event; 10) Important skills for understanding numerical estimates; and 11) Interactive web-based formats. Guiding principles from the evidence summaries advise that risk communication formats should reflect the task required of the user, should always define a relevant reference class (i.e., denominator) over time, should aim to use a consistent format throughout documents, should avoid “1 in x” formats and variable denominators, consider the magnitude of numbers used and the possibility of format bias, and should take into account the numeracy and graph literacy of the audience. Conclusion A substantial and rapidly expanding evidence base exists for risk communication. Developers of tools to facilitate evidence-based decision making should apply these principles to improve the quality of risk communication in practice. PMID:24625237
ERIC Educational Resources Information Center
Greenway, Rosanne; McCollow, Meaghan; Hudson, Roxanne F.; Peck, Charles; Davis, Carol A.
2013-01-01
The purpose of this study was to examine teacher perspectives about evidence-based practices (EBP) and decision-making for students with intellectual and developmental disabilities. Given the current EBP movement, our study sought to understand practitioner definitions and perspectives on EBP and decision-making. Interview data from nine special…
Hirsch, Oliver; Keller, Heidemarie; Krones, Tanja; Donner-Banzhoff, Norbert
2012-03-01
In shared decision-making, patients are empowered to actively ask questions and participate in decisions about their healthcare based on their preferences and values. Decision aids should help patients make informed choices among diagnostic or treatment options by delivering evidence-based information on options and outcomes; however, they have rarely been field tested, especially in the primary care context. We therefore evaluated associations between the use of an interactive, transactional and evidence-based library of decision aids (arriba-lib) and communication and decision-making in patients and physicians in the primary care context. Our electronic library of decision aids ('arriba-lib') includes evidence-based modules for cardiovascular prevention, diabetes, coronary heart disease, atrial fibrillation and depression. Twenty-nine primary care physicians recruited 192 patients. We used questionnaires to ask patients and physicians about their experiences with and attitudes towards the programme. Patients were interviewed via telephone 2 months after the consultation. Data were analysed by general estimation equations, cross tab analyses and by using effect sizes. Only a minority (8.9%) of the consultations were felt to be too long because physicians said consultations were unacceptably extended by arriba-lib. We found a negative association between the detailedness of the discussion of the clinical problem's definition and the age of the patients. Physicians discuss therapeutic options in less detail with patients who have a formal education of less than 8 years. Patients who were counselled by a physician with no experience in using a decision aid more often reported that they do not remember being counselled with the help of a decision aid or do not wish to be counselled again with a decision aid. Arriba-lib has positive associations to the decision-making process in patients and physicians. It can also be used with older age groups and patients with less formal education. Physicians seem to adapt their counselling strategy to different patient groups. Prior experience with the use of decision aids has an influence on the acceptance of arriba-lib in patients but not on their decision-making or decision implementation. © 2012 The Authors. International Journal of Evidence-Based Healthcare © 2012 The Joanna Briggs Institute.
Decision-Making in Audiology: Balancing Evidence-Based Practice and Patient-Centered Care.
Boisvert, Isabelle; Clemesha, Jennifer; Lundmark, Erik; Crome, Erica; Barr, Caitlin; McMahon, Catherine M
2017-01-01
Health-care service delivery models have evolved from a practitioner-centered approach toward a patient-centered ideal. Concurrently, increasing emphasis has been placed on the use of empirical evidence in decision-making to increase clinical accountability. The way in which clinicians use empirical evidence and client preferences to inform decision-making provides an insight into health-care delivery models utilized in clinical practice. The present study aimed to investigate the sources of information audiologists use when discussing rehabilitation choices with clients, and discuss the findings within the context of evidence-based practice and patient-centered care. To assess the changes that may have occurred over time, this study uses a questionnaire based on one of the few studies of decision-making behavior in audiologists, published in 1989. The present questionnaire was completed by 96 audiologists who attended the World Congress of Audiology in 2014. The responses were analyzed using qualitative and quantitative approaches. Results suggest that audiologists rank clinical test results and client preferences as the most important factors for decision-making. Discussion with colleagues or experts was also frequently reported as an important source influencing decision-making. Approximately 20% of audiologists mentioned utilizing research evidence to inform decision-making when no clear solution was available. Information shared at conferences was ranked low in terms of importance and reliability. This study highlights an increase in awareness of concepts associated with evidence-based practice and patient-centered care within audiology settings, consistent with current research-to-practice dissemination pathways. It also highlights that these pathways may not be sufficient for an effective clinical implementation of these practices.
Schroeder, Julie; Guin, Cecile C; Pogue, Rene; Bordelon, Danna
2006-10-01
Providing an effective defense for individuals charged with capital crimes requires a diligent, thorough investigation by a mitigation specialist. However, research suggests that mitigation often plays a small role in the decision for life. Jurors often make sentencing decisions prematurely, basing those decisions on their personal reactions to the defendant (for example, fear, anger), their confusion about the rules of law, and their lack of understanding regarding their role and responsibilities. This article proposes an evidence-based conceptual model of the complicating problems surrounding mitigation practice and a focused discussion about how traditional social work mitigation strategies might be evolved to a set of best practices that more effectively ensure jurors' careful consideration of mitigation evidence.
Lewiecki, E Michael; Binkley, Neil
2009-01-01
To evaluate the benefits and limitations of randomized controlled trials (RCTs), clinical practice guidelines (CPGs), and clinical judgment in the management of osteoporosis. A review was conducted of the English-language literature on the origins and applications of RCTs, CPGs, evidence-based medicine, and clinical judgment in the management of osteoporosis. Evidence-based medicine is use of the currently available best evidence in making clinical decisions for individual patients. CPGs are recommendations for making clinical decisions based on research evidence, sometimes with consideration of expert opinion, health care policy, and costs of care. The highest levels of medical evidence are usually thought to be RCTs and meta-analyses of high-quality RCTs. Although it is desirable and appropriate for clinicians to consider research evidence from RCTs and recommendations presented in CPGs in making clinical decisions, other factors-such as patient preference, comorbidities, affordability, and availability of care-are important for the actual implementation of evidence-based medicine. Decisions about who to treat, which drug to use, how best to monitor, and how long to treat require clinical skills in addition to knowledge of medical research. The necessity of integrating common sense and clinical judgment is highlighted by the fact that many patients treated for osteoporosis in clinical practice would not qualify for participation in the pivotal clinical trials that demonstrated efficacy and safety of the drugs used to treat them.
20 CFR 416.927 - Evaluating opinion evidence.
Code of Federal Regulations, 2010 CFR
2010-04-01
... are responsible for making the determination or decision about whether you meet the statutory... rest of the relevant evidence we receive. (c) Making disability determinations. After we review all of... or decision based on that evidence. (2) If any of the evidence in your case record, including any...
Facilitating access to pre-processed research evidence in public health
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
Behrens, Johann
2010-01-01
Evidence-based Medicine (EbM) is the ongoing self-reflection of an individualised approach to medicine in terms of a science that originates from and focuses on clinical decision-making (pragmatic science="Handlungswissenschaft"). EbM is particularly suitable for self-reflecting individualised medicine on the basis of decision-oriented pragmatic science because it consistently distinguishes between external evidence (i.e., other subjects' experience gained through "qualitative" and "quantitative" scientific methods) and internal evidence, i.e., the individual user's, or patient's, own experience manifesting and developing in the individual contact between therapist and patient. Therefore, internal evidence is completely different from the individual clinical experience, expertise, and conviction which therapists contribute to the encounter with clients. A deeper understanding of internal evidence as a result of this encounter has emerged only in the past 15 years. However, it is an integral part of the logic of evidence-based professional decision-making. Scientifically justified beneficial and effective treatment in the individual case cannot be deduced from external evidence but can only be gathered from internal evidence for which the best external evidence available has been utilised. In the past 15 years nursing science has not only carved out the decision-oriented scientific core of evidence-based practice but has also tried to increase the validity of studies on external evidence by employing a combination of 'qualitative' social science studies and clinical epidemiological methods. Copyright © 2010. Published by Elsevier GmbH.
Evidence-based Management: From Theory to Practice in Health Care
Walshe, Kieran; Rundall, Thomas G.
2001-01-01
The rise of evidence-based clinical practice in health care has caused some people to start questioning how health care managers and policymakers make decisions, and what role evidence plays in the process. Though managers and policymakers have been quick to encourage clinicians to adopt an evidence-based approach, they have been slower to apply the same ideas to their own practice. Yet, there is evidence that the same problems (of the underuse of effective interventions and the overuse of ineffective ones) are as widespread in health care management as they are in clinical practice. Because there are important differences between the culture, research base, and decision-making processes of clinicians and managers, the ideas of evidence-based practice, while relevant, need to be translated for management rather than simply transferred. The experience of the Center for Health Management Research (CHMR) is used to explore how to bring managers and researchers together and promote the use of evidence in managerial decision-making. However, health care funders, health care organizations, research funders, and academic centers need wider and more concerted action to promote the development of evidence-based managerial practice. PMID:11565163
Non-clinical influences on clinical decision-making: a major challenge to evidence-based practice.
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.
ERIC Educational Resources Information Center
Coburn, Cynthia E.; Toure, Judith; Yamashita, Mika
2009-01-01
Background/Context: Calls for evidence-based decision making have become increasingly prominent on the educational landscape. School district central offices increasingly experience these demands. Yet there are few empirical studies of evidence use at the district level. Furthermore, research on evidence use among policy makers in noneducation…
Geddie, Hannah; Dobrow, Mark J; Hoch, Jeffrey S; Rabeneck, Linda
2012-06-01
Health-policy decision making is a complex and dynamic process, for which strong evidentiary support is required. This includes scientifically produced research, as well as information that relates to the context in which the decision takes place. Unlike scientific evidence, this "contextual evidence" is highly variable and often includes information that is not scientifically produced, drawn from sources such as political judgement, program management experience and knowledge, or public values. As the policy decision-making process is variable and difficult to evaluate, it is often unclear how this heterogeneous evidence is identified and incorporated into "evidence-based policy" decisions. Population-based colorectal cancer screening poses an ideal context in which to examine these issues. In Canada, colorectal cancer screening programs have been established in several provinces over the past five years, based on the fecal occult blood test (FOBT) or the fecal immunochemical test. However, as these programs develop, new scientific evidence for screening continues to emerge. Recently published randomized controlled trials suggest that the use of flexible sigmoidoscopy for population-based screening may pose a greater reduction in mortality than the FOBT. This raises the important question of how policy makers will address this evidence, given that screening programs are being established or are already in place. This study will examine these issues prospectively and will focus on how policy makers monitor emerging scientific evidence and how both scientific and contextual evidence are identified and applied for decisions about health system improvement. This study will employ a prospective multiple case study design, involving participants from Ontario, Alberta, Manitoba, Nova Scotia, and Quebec. In each province, data will be collected via document analysis and key informant interviews. Documents will include policy briefs, reports, meeting minutes, media releases, and correspondence. Interviews will be conducted in person with senior administrative leaders, government officials, screening experts, and high-level cancer system stakeholders. The proposed study comprises the third and final phase of an Emerging Team grant to address the challenges of health-policy decision making and colorectal cancer screening decisions in Canada. This study will contribute a unique prospective look at how policy makers address new, emerging scientific evidence in several different policy environments and at different stages of program planning and implementation. Findings will provide important insight into the various approaches that are or should be used to monitor emerging evidence, the relative importance of scientific versus contextual evidence for decision making, and the tools and processes that may be important to support challenging health-policy decisions.
Combining evidence using likelihood ratios in writer verification
NASA Astrophysics Data System (ADS)
Srihari, Sargur; Kovalenko, Dimitry; Tang, Yi; Ball, Gregory
2013-01-01
Forensic identification is the task of determining whether or not observed evidence arose from a known source. It involves determining a likelihood ratio (LR) - the ratio of the joint probability of the evidence and source under the identification hypothesis (that the evidence came from the source) and under the exclusion hypothesis (that the evidence did not arise from the source). In LR- based decision methods, particularly handwriting comparison, a variable number of input evidences is used. A decision based on many pieces of evidence can result in nearly the same LR as one based on few pieces of evidence. We consider methods for distinguishing between such situations. One of these is to provide confidence intervals together with the decisions and another is to combine the inputs using weights. We propose a new method that generalizes the Bayesian approach and uses an explicitly defined discount function. Empirical evaluation with several data sets including synthetically generated ones and handwriting comparison shows greater flexibility of the proposed method.
Tools to Promote Shared Decision Making in Serious Illness: A Systematic Review.
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.
Cohen, Laura; Greer, Nancy; Berliner, Elise; Sprigle, Stephen
2013-11-01
This article, developed as background content for discussion during the Mobility Rehabilitation Engineering Research Center State of the Science Conference, reviews research surrounding wheeled mobility and seating (WMS) service delivery, discusses the challenges of improving clinical decision-making, and discusses research approaches used to study and improve health services in other practice areas that might be leveraged to develop the evidence base for WMS. Narrative literature review. An overview of existing research found general agreement across models of WMS service delivery but little high quality evidence to support the recommended approaches and few studies of the relationship between service delivery steps and individual patient outcomes. The definition of successful clinical decision-making is different for different stakeholders. Clinical decision-making should incorporate the best available evidence along with patient values, preferences, circumstances, and clinical expertise. To advance the evidence base for WMS service delivery, alternatives to randomized controlled trials should be considered and reliable and valid outcome measures developed. Technological advances offer tremendous opportunities for individuals with complex rehabilitation technology needs. However, with ongoing scrutiny of WMS service delivery there is an increased need for evidence to support the clinical decision-making process and to support evidence-based coverage policies for WMS services and technologies. An evidence base for wheeled mobility and seating services is an important component of the clinical decision-making process. At present, there is little evidence regarding essential components of the wheeled mobility and seating evaluation or the relationship between the evaluation process and patient outcomes. Many factors can confound this relationship and present challenges to research in this area. All stakeholders (i.e. clinicians, rehabilitation technology suppliers, manufacturers, researchers, payers, policy makers, and wheelchair users) need to work together to develop and support an evidence base for wheeled mobility and seating service delivery.
Decision-Making in Audiology: Balancing Evidence-Based Practice and Patient-Centered Care
Clemesha, Jennifer; Lundmark, Erik; Crome, Erica; Barr, Caitlin; McMahon, Catherine M.
2017-01-01
Health-care service delivery models have evolved from a practitioner-centered approach toward a patient-centered ideal. Concurrently, increasing emphasis has been placed on the use of empirical evidence in decision-making to increase clinical accountability. The way in which clinicians use empirical evidence and client preferences to inform decision-making provides an insight into health-care delivery models utilized in clinical practice. The present study aimed to investigate the sources of information audiologists use when discussing rehabilitation choices with clients, and discuss the findings within the context of evidence-based practice and patient-centered care. To assess the changes that may have occurred over time, this study uses a questionnaire based on one of the few studies of decision-making behavior in audiologists, published in 1989. The present questionnaire was completed by 96 audiologists who attended the World Congress of Audiology in 2014. The responses were analyzed using qualitative and quantitative approaches. Results suggest that audiologists rank clinical test results and client preferences as the most important factors for decision-making. Discussion with colleagues or experts was also frequently reported as an important source influencing decision-making. Approximately 20% of audiologists mentioned utilizing research evidence to inform decision-making when no clear solution was available. Information shared at conferences was ranked low in terms of importance and reliability. This study highlights an increase in awareness of concepts associated with evidence-based practice and patient-centered care within audiology settings, consistent with current research-to-practice dissemination pathways. It also highlights that these pathways may not be sufficient for an effective clinical implementation of these practices. PMID:28752808
Decision making and sequential sampling from memory
Shadlen, Michael N.; Shohamy, Daphna
2016-01-01
Decisions take time, and as a rule more difficult decisions take more time. But this only raises the question of what consumes the time. For decisions informed by a sequence of samples of evidence, the answer is straightforward: more samples are available with more time. Indeed the speed and accuracy of such decisions are explained by the accumulation of evidence to a threshold or bound. However, the same framework seems to apply to decisions that are not obviously informed by sequences of evidence samples. Here we proffer the hypothesis that the sequential character of such tasks involves retrieval of evidence from memory. We explore this hypothesis by focusing on value-based decisions and argue that mnemonic processes can account for regularities in choice and decision time. We speculate on the neural mechanisms that link sampling of evidence from memory to circuits that represent the accumulated evidence bearing on a choice. We propose that memory processes may contribute to a wider class of decisions that conform to the regularities of choice-reaction time predicted by the sequential sampling framework. PMID:27253447
Rhodes, Louisa; Naumann, Ulrike M.
2011-01-01
Objective: To identify how decisions about treatment are being made in secondary services for anxiety disorders and depression and, specifically, whether it was possible to predict the decisions to refer for evidence-based treatments. Method: Post hoc classification tree analysis was performed using a sample from an audit on implementation of the National Institute for Health and Clinical Excellence Guidelines for Depression and Anxiety Disorders. The audit was of 5 teams offering secondary care services; they included psychiatrists, psychologists, community psychiatric nurses, social workers, dual-diagnosis workers, and vocational workers. The patient sample included all of those with a primary problem of depression (n = 56) or an anxiety disorder (n = 16) who were offered treatment from February 16 to April 3, 2009. The outcome variable was whether or not evidence-based treatments were offered, and the predictor variables were presenting problem, risk, comorbid problem, social problems, and previous psychiatric history. Results: Treatment decisions could be more accurately predicted for anxiety disorders (93% correct) than for depression (55%). For anxiety disorders, the presence or absence of social problems was a good predictor for whether evidence-based or non–evidence-based treatments were offered; 44% (4/9) of those with social problems vs 100% (6/6) of those without social problems were offered evidence-based treatments. For depression, patients’ risk rating had the largest impact on treatment decisions, although no one variable could be identified as individually predictive of all treatment decisions. Conclusions: Treatment decisions were generally consistent for anxiety disorders but more idiosyncratic for depression, making the development of a decision-making model very difficult for depression. The lack of clarity of some terms in the clinical guidelines and the more complex nature of depression could be factors contributing to this difficulty. Further research is needed to understand the complex nature of decision making with depressed patients. PMID:22295255
[Evidence-based Risk and Benefit Communication for Shared Decision Making].
Nakayama, Takeo
2018-01-01
Evidence-based medicine (EBM) can be defined as "the integration of the best research evidence with clinical expertise and a patient's unique values and circumstances". However, even with the best research evidence, many uncertainties can make clinical decisions difficult. As the social requirement of respecting patient values and preferences has been increasingly recognized, shared decision making (SDM) and consensus development between patients and clinicians have attracted attention. SDM is a process by which patients and clinicians make decisions and arrive at a consensus through interactive conversations and communications. During the process of SDM, patients and clinicians share information with each other on the goals they hope to achieve and responsibilities in meeting those goals. From the clinician's standpoint, information regarding the benefits and risks of potential treatment options based on current evidence and professional experience is provided to patients. From the patient's standpoint, information on personal values, preferences, and social roles is provided to clinicians. SDM is a sort of "wisdom" in the context of making autonomous decisions in uncertain, difficult situations through interactions and cooperation between patients and clinicians. Joint development of EBM and SDM will help facilitate patient-clinician relationships and improve the quality of healthcare.
Evidence-based periodontal therapy: An overview
Vijayalakshmi, R.; Anitha, V.; Ramakrishnan, T.; Sudhakar, Uma
2008-01-01
Dentists need to make clinical decisions based on limited scientific evidence. In clinical practice, a clinician must weigh a myriad of evidences every day. The goal of evidence-based dentistry is to help practitioners provide their patients with optimal care. This is achieved by integrating sound research evidence with personal clinical expertise and patient values to determine the best course of treatment. Periodontology has a rich background of research and scholarship. Therefore, efficient use of this wealth of research data needs to be a part of periodontal practice. Evidence-based periodontology aims to facilitate such an approach and it offers a bridge from science to clinical practice. The clinician must integrate the evidence with patient preference, scientific knowledge, and personal experience. Most important, it allows us to care for our patients. Therefore, evidence-based periodontology is a tool to support decision-making and integrating the best evidence available with clinical practice. PMID:20142947
A Web-Based Tool to Support Data-Based Early Intervention Decision Making
ERIC Educational Resources Information Center
Buzhardt, Jay; Greenwood, Charles; Walker, Dale; Carta, Judith; Terry, Barbara; Garrett, Matthew
2010-01-01
Progress monitoring and data-based intervention decision making have become key components of providing evidence-based early childhood special education services. Unfortunately, there is a lack of tools to support early childhood service providers' decision-making efforts. The authors describe a Web-based system that guides service providers…
Research evidence utilization in policy development by child welfare administrators.
Jack, Susan; Dobbins, Maureen; Tonmyr, Lil; Dudding, Peter; Brooks, Sandy; Kennedy, Betty
2010-01-01
An exploratory qualitative study was conducted to explore how child welfare administrators use research evidence in decision-making. Content analysis revealed that a cultural shift toward evidence-based practice (EBP) is occurring in Canadian child welfare organizations and multiple types of evidence inform policy decisions. Barriers to using evidence include individual, organizational, and environmental factors. Facilitating factors include the development of internal champions and organizational cultures that value EBP. Integrating research into practice and policy decisions requires a multifaceted approach of creating organizational cultures that support research utilization and supporting senior bureaucrats to use research evidence in policy development.
Mori, Amani Thomas; Kaale, Eliangiringa Amos; Ngalesoni, Frida; Norheim, Ole Frithjof; Robberstad, Bjarne
2014-01-01
Background Insufficient access to essential medicines is a major health challenge in developing countries. Despite the importance of Standard Treatment Guidelines and National Essential Medicine Lists in facilitating access to medicines, little is known about how they are updated. This study aims to describe the process of updating the Standard Treatment Guidelines and National Essential Medicine List in Tanzania and further examines the criteria and the underlying evidence used in decision-making. Methods This is a qualitative study in which data were collected by in-depth interviews and document reviews. Interviews were conducted with 18 key informants who were involved in updating the Standard Treatment Guidelines and National Essential Medicine List. We used a thematic content approach to analyse the data. Findings The Standard Treatment Guidelines and National Essential Medicine List was updated by committees of experts who were recruited mostly from referral hospitals and the Ministry of Health and Social Welfare. Efficacy, safety, availability and affordability were the most frequently utilised criteria in decision-making, although these were largely based on experience rather than evidence. In addition, recommendations from international guidelines and medicine promotions also influenced decision-making. Cost-effectiveness, despite being an important criterion for formulary decisions, was not utilised. Conclusions Recent decisions about the selection of essential medicines in Tanzania were made by committees of experts who largely used experience and discretionary judgement, leaving evidence with only a limited role in decision-making process. There may be several reasons for the current limited use of evidence in decision-making, but one hypothesis that remains to be explored is whether training experts in evidence-based decision-making would lead to a better and more explicit use of evidence. PMID:24416293
Applicability of randomized trials in radiation oncology to standard clinical practice.
Apisarnthanarax, Smith; Swisher-McClure, Samuel; Chiu, Wing K; Kimple, Randall J; Harris, Stephen L; Morris, David E; Tepper, Joel E
2013-08-15
Randomized controlled trials (RCTs) are commonly used to inform clinical practice; however, it is unclear how generalizable RCT data are to patients in routine clinical practice. The authors of this report assessed the availability and applicability of randomized evidence guiding medical decisions in a cohort of patients who were evaluated for consideration of definitive management in a radiation oncology clinic. The medical records of consecutive, new patient consultations between January and March 2007 were reviewed. Patient medical decisions were classified as those with (Group 1) or without (Group 2) available, relevant level I evidence (phase 3 RCT) supporting recommended treatments. Group 1 medical decisions were further divided into 3 groups based on the extent of fulfilling eligibility criteria for each RCT: Group 1A included decisions that fulfilled all eligibility criteria; Group 1B, decisions that did not fulfill at least 1 minor eligibility criteria; or Group 1C, decisions that did not fulfill at least 1 major eligibility criteria. Patient and clinical characteristics were tested for correlations with the availability of evidence. Of the 393 evaluable patients, malignancies of the breast (30%), head and neck (18%), and genitourinary system (14%) were the most common presenting primary disease sites. Forty-seven percent of all medical decisions (n = 451) were made without available (36%) or applicable (11%) randomized evidence to inform clinical decision making. Primary tumor diagnosis was significantly associated with the availability of evidence (P < .0001). A significant proportion of medical decisions in an academic radiation oncology clinic were made without available or applicable level I evidence, underscoring the limitations of relying solely on RCTs for the development of evidence-based health care. Copyright © 2013 American Cancer Society.
Mori, Amani Thomas; Kaale, Eliangiringa Amos; Ngalesoni, Frida; Norheim, Ole Frithjof; Robberstad, Bjarne
2014-01-01
Insufficient access to essential medicines is a major health challenge in developing countries. Despite the importance of Standard Treatment Guidelines and National Essential Medicine Lists in facilitating access to medicines, little is known about how they are updated. This study aims to describe the process of updating the Standard Treatment Guidelines and National Essential Medicine List in Tanzania and further examines the criteria and the underlying evidence used in decision-making. This is a qualitative study in which data were collected by in-depth interviews and document reviews. Interviews were conducted with 18 key informants who were involved in updating the Standard Treatment Guidelines and National Essential Medicine List. We used a thematic content approach to analyse the data. The Standard Treatment Guidelines and National Essential Medicine List was updated by committees of experts who were recruited mostly from referral hospitals and the Ministry of Health and Social Welfare. Efficacy, safety, availability and affordability were the most frequently utilised criteria in decision-making, although these were largely based on experience rather than evidence. In addition, recommendations from international guidelines and medicine promotions also influenced decision-making. Cost-effectiveness, despite being an important criterion for formulary decisions, was not utilised. Recent decisions about the selection of essential medicines in Tanzania were made by committees of experts who largely used experience and discretionary judgement, leaving evidence with only a limited role in decision-making process. There may be several reasons for the current limited use of evidence in decision-making, but one hypothesis that remains to be explored is whether training experts in evidence-based decision-making would lead to a better and more explicit use of evidence.
20 CFR 404.1527 - Evaluating opinion evidence.
Code of Federal Regulations, 2010 CFR
2010-04-01
... for making the determination or decision about whether you meet the statutory definition of disability.... (c) Making disability determinations. After we review all of the evidence relevant to your claim... decide whether you are disabled, we will make our determination or decision based on that evidence. (2...
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.
Owens, Douglas K; Whitlock, Evelyn P; Henderson, Jillian; Pignone, Michael P; Krist, Alex H; Bibbins-Domingo, Kirsten; Curry, Susan J; Davidson, Karina W; Ebell, Mark; Gillman, Matthew W; Grossman, David C; Kemper, Alex R; Kurth, Ann E; Maciosek, Michael; Siu, Albert L; LeFevre, Michael L
2016-10-04
The U.S. Preventive Services Task Force (USPSTF) develops evidence-based recommendations about preventive care based on comprehensive systematic reviews of the best available evidence. Decision models provide a complementary, quantitative approach to support the USPSTF as it deliberates about the evidence and develops recommendations for clinical and policy use. This article describes the rationale for using modeling, an approach to selecting topics for modeling, and how modeling may inform recommendations about clinical preventive services. Decision modeling is useful when clinical questions remain about how to target an empirically established clinical preventive service at the individual or program level or when complex determinations of magnitude of net benefit, overall or among important subpopulations, are required. Before deciding whether to use decision modeling, the USPSTF assesses whether the benefits and harms of the preventive service have been established empirically, assesses whether there are key issues about applicability or implementation that modeling could address, and then defines the decision problem and key questions to address through modeling. Decision analyses conducted for the USPSTF are expected to follow best practices for modeling. For chosen topics, the USPSTF assesses the strengths and limitations of the systematically reviewed evidence and the modeling analyses and integrates the results of each to make preventive service recommendations.
Daleiden, Eric L; Chorpita, Bruce F
2005-04-01
The Hawaii Department of Health Child and Adolescent Mental Health Division has explored various strategies to promote widespread use of empirical evidence to improve the quality of services and outcomes for youth. This article describes a core set of clinical decisions and how several general and local evidence bases may inform those decisions. Multiple quality improvement strategies are illustrated in the context of a model that outlines four phases of evidence: data, information, knowledge, and wisdom.
Empowering occupational therapists to become evidence-based work rehabilitation practitioners.
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.
Federer, Andrew E; Taylor, Dean C; Mather, Richard C
2013-09-01
Decision making in health care has evolved substantially over the last century. Up until the late 1970s, medical decision making was predominantly intuitive and anecdotal. It was based on trial and error and involved high levels of problem solving. The 1980s gave way to empirical medicine, which was evidence based probabilistic, and involved pattern recognition and less problem solving. Although this represented a major advance in the quality of medical decision making, limitations existed. The advantages of the gold standard of the randomized controlled clinical trial (RCT) are well-known and this technique is irreplaceable in its ability to answer critical clinical questions. However, the RCT does have drawbacks. RCTs are expensive and can only capture a snapshot in time. As treatments change and new technologies emerge, new expensive clinical trials must be undertaken to reevaluate them. Furthermore, in order to best evaluate a single intervention, other factors must be controlled. In addition, the study population may not match that of another organization or provider. Although evidence-based medicine has provided powerful data for clinicians, effectively and efficiently tailoring it to the individual has not yet evolved. We are now in a period of transition from this evidence-based era to one dominated by the personalization and customization of care. It will be fueled by policy decisions to shift financial responsibility to the patient, creating a powerful and sophisticated consumer, unlike any patient we have known before. The challenge will be to apply medical evidence and personal preferences to medical decisions and deliver it efficiently in the increasingly busy clinical setting. In this article, we provide a robust review of the concepts of customized care and some of techniques to deliver it. We will illustrate this through a personalized decision model for the treatment decision after a first-time anterior shoulder dislocation.
ERIC Educational Resources Information Center
Khader, Patrick H.; Pachur, Thorsten; Meier, Stefanie; Bien, Siegfried; Jost, Kerstin; Rosler, Frank
2011-01-01
Many of our daily decisions are memory based, that is, the attribute information about the decision alternatives has to be recalled. Behavioral studies suggest that for such decisions we often use simple strategies (heuristics) that rely on controlled and limited information search. It is assumed that these heuristics simplify decision-making by…
18 CFR 385.602 - Submission of settlement offers (Rule 602).
Code of Federal Regulations, 2010 CFR
2010-04-01
... settlement issues, if the record contains substantial evidence upon which to base a reasoned decision or the... reasonably be based; or (B) Take other action which the Commission determines to be appropriate. (iii) If... contains substantial evidence from which the Commission may reach a reasoned decision on the merits of the...
Evidence-Based Library Management: The Leadership Challenge
ERIC Educational Resources Information Center
Lakos, Amos
2007-01-01
This paper is an extension of the author's earlier work on developing management information services and creating a culture of assessment in libraries. The author will focus observations on the use of data in decision-making in libraries, specifically on the role of leadership in making evidence-based decision a reality, and will review new…
Palazzo, Salvatore; Filice, Aldo; Mastroianni, Candida; Biamonte, Rosalbino; Conforti, Serafino; Liguori, Virginia; Turano, Salvatore; De Simone, Rosanna; Rovito, Antonio; Manfredi, Caterina; Minardi, Stefano; Vilardo, Emmanuelle; Loizzo, Monica; Oriolo, Carmela
2016-04-01
Clinical decision making in oncology is based so far on the evidence of efficacy from high-quality clinical research. Data collection and analysis from experimental studies provide valuable insight into response rates and progression-free or overall survival. Data processing generates valuable information for medical professionals involved in cancer patient care, enabling them to make objective and unbiased choices. The increased attention of many scientific associations toward a more rational resource consumption in clinical decision making is mirrored in the Choosing Wisely campaign against the overuse or misuse of exams and procedures of little or no benefit for the patient. This cultural movement has been actively promoting care solutions based on the concept of "value". As a result, the value-based decision-making process for cancer care should not be dissociated from economic sustainability and from ethics of the affordability, also given the growing average cost of the most recent cancer drugs. In support of this orientation, the National Comprehensive Cancer Network (NCCN) has developed innovative and "complex" guidelines based on values, defined as "evidence blocks", with the aim of assisting the medical community in making overall sustainable choices.
Hilbig, Benjamin E; Pohl, Rüdiger F
2009-09-01
According to part of the adaptive toolbox notion of decision making known as the recognition heuristic (RH), the decision process in comparative judgments-and its duration-is determined by whether recognition discriminates between objects. By contrast, some recently proposed alternative models predict that choices largely depend on the amount of evidence speaking for each of the objects and that decision times thus depend on the evidential difference between objects, or the degree of conflict between options. This article presents 3 experiments that tested predictions derived from the RH against those from alternative models. All experiments used naturally recognized objects without teaching participants any information and thus provided optimal conditions for application of the RH. However, results supported the alternative, evidence-based models and often conflicted with the RH. Recognition was not the key determinant of decision times, whereas differences between objects with respect to (both positive and negative) evidence predicted effects well. In sum, alternative models that allow for the integration of different pieces of information may well provide a better account of comparative judgments. (c) 2009 APA, all rights reserved.
Peters, Jaime L; Cooper, Chris; Buchanan, James
2015-01-01
Introduction Decision models can be used to conduct economic evaluations of new pharmacogenetic and pharmacogenomic tests to ensure they offer value for money to healthcare systems. These models require a great deal of evidence, yet research suggests the evidence used is diverse and of uncertain quality. By conducting a systematic review, we aim to investigate the test-related evidence used to inform decision models developed for the economic evaluation of genetic tests. Methods and analysis We will search electronic databases including MEDLINE, EMBASE and NHS EEDs to identify model-based economic evaluations of pharmacogenetic and pharmacogenomic tests. The search will not be limited by language or date. Title and abstract screening will be conducted independently by 2 reviewers, with screening of full texts and data extraction conducted by 1 reviewer, and checked by another. Characteristics of the decision problem, the decision model and the test evidence used to inform the model will be extracted. Specifically, we will identify the reported evidence sources for the test-related evidence used, describe the study design and how the evidence was identified. A checklist developed specifically for decision analytic models will be used to critically appraise the models described in these studies. Variations in the test evidence used in the decision models will be explored across the included studies, and we will identify gaps in the evidence in terms of both quantity and quality. Dissemination The findings of this work will be disseminated via a peer-reviewed journal publication and at national and international conferences. PMID:26560056
What Is a Culture of Evidence? How Do You Get One? And... Should You Want One?
ERIC Educational Resources Information Center
Peck, Charles A.; McDonald, Morva A.
2014-01-01
Background/Context: Contemporary state and national policy rhetoric reflects increased press for "evidence-based" decision making within programs of teacher education, including admonitions that programs develop a "culture of evidence" in making decisions regarding policy and practice. Recent case study reports suggest that…
Evidence - based medicine/practice in sports physical therapy.
Manske, Robert C; Lehecka, B J
2012-10-01
A push for the use of evidence-based medicine and evidence-based practice patterns has permeated most health care disciplines. The use of evidence-based practice in sports physical therapy may improve health care quality, reduce medical errors, help balance known benefits and risks, challenge views based on beliefs rather than evidence, and help to integrate patient preferences into decision-making. In this era of health care utilization sports physical therapists are expected to integrate clinical experience with conscientious, explicit, and judicious use of research evidence in order to make clearly informed decisions in order to help maximize and optimize patient well-being. One of the more common reasons for not using evidence in clinical practice is the perceived lack of skills and knowledge when searching for or appraising research. This clinical commentary was developed to educate the readership on what constitutes evidence-based practice, and strategies used to seek evidence in the daily clinical practice of sports physical therapy.
Communication of Evidence-Based Medicine
2004-06-01
Communication between physician and patient is very important to allow the patient to make a well-informed health care decision. Evidence - based medicine is...patient’s understanding of information, specifically evidence - based medicine , provided by a physician.
A diffusion decision model analysis of evidence variability in the lexical decision task.
Tillman, Gabriel; Osth, Adam F; van Ravenzwaaij, Don; Heathcote, Andrew
2017-12-01
The lexical-decision task is among the most commonly used paradigms in psycholinguistics. In both the signal-detection theory and Diffusion Decision Model (DDM; Ratcliff, Gomez, & McKoon, Psychological Review, 111, 159-182, 2004) frameworks, lexical-decisions are based on a continuous source of word-likeness evidence for both words and non-words. The Retrieving Effectively from Memory model of Lexical-Decision (REM-LD; Wagenmakers et al., Cognitive Psychology, 48(3), 332-367, 2004) provides a comprehensive explanation of lexical-decision data and makes the prediction that word-likeness evidence is more variable for words than non-words and that higher frequency words are more variable than lower frequency words. To test these predictions, we analyzed five lexical-decision data sets with the DDM. For all data sets, drift-rate variability changed across word frequency and non-word conditions. For the most part, REM-LD's predictions about the ordering of evidence variability across stimuli in the lexical-decision task were confirmed.
Evidence-based financial management.
Finkler, Steven A; Henley, Richard J; Ward, David M
2003-10-01
Like the practice of evidence-based medicine, evidence-based financial management can be used by providers to improve results. The concept provides a framework that managers and researchers can use to help direct efforts in gathering and using evidence to support management decisions in health care.
Berger, Bettina; Schwarz, Christiane; Heusser, Peter
2015-05-07
Decision-making during pregnancy regarding different options of care can be difficult, particularly when risks of intervention versus no intervention for mother and baby are unclear. Unbiased information and support for decision making may be beneficial in these situations. The management of normal pregnancies at and beyond term is an example of such a situation. In order to determine the need to develop an evidence-based decision aid this paper searches, analyses and appraises patient decision aids and patient information leaflets regarding care options in cases of late term and post-term pregnancies, including complementary and alternative medicine (CAM). A literature search was carried out in a variety of lay and medical databases. written information related to uncomplicated singleton pregnancies and targeted at lay people. Analysis and appraisal of included material by means of quality criteria was set up based on the International Patient Decision Aid Standards accounting for evidence-basing of CAM options. Inclusion of two decision aids and eleven leaflets from four decision aids and sixteen leaflets. One decision aid met the quality criteria almost completely, the other one only insufficiently despite providing some helpful information. Only one leaflet is of good quality, but cannot substitute a decision aid. There is an urgent need for the design of an evidence-based decision aid of good quality for late-term or post-term pregnancy, particularly in German language.
Faculty Training in Evidence-Based Medicine: Improving Evidence Acquisition and Critical Appraisal
ERIC Educational Resources Information Center
Nicholson, Laura J.; Warde, Carole M.; Boker, John R.
2007-01-01
Introduction: Evidence-based medicine (EBM) integrates published clinical evidence with patient values and clinical expertise, the output of which is informed medical decision making. Key skills for evidence-based practice include acquisition and appraisal of clinical information. Faculty clinicians often lack expertise in these skills and are…
Neumann, Peter J
2005-07-01
Managed care plans have traditionally resisted using economic evidence explicitly in drug formulary decisions, even as they used ever more aggressive and sophisticated processes for managing care. In recent years, this has changed as health plans have begun to adopt evidence-based and value-based formulary submission guidelines. The guidelines have the potential to serve as a national unifying template for pharmacy and therapeutics committees to consider clinical and economic information in a systematic and rigorous fashion. However, many questions remain about their use and about the nature of communications (called "unsolicited requests") from plans to drug companies for information. This article describes the unsolicited request process and its potential impact on the use of economic evidence in formulary decisions.
A Model for Evidence Accumulation in the Lexical Decision Task
ERIC Educational Resources Information Center
Wagenmakers, Eric-Jan; Steyvers, Mark; Raaijmakers, Jeroen G. W.; Shiffrin, Richard M.; van Rijn, Hedderik; Zeelenberg, Rene
2004-01-01
We present a new model for lexical decision, REM-LD, that is based on REM theory (e.g., Shiffrin & Steyvers, 1997). REM-LD uses a principled (i.e., Bayes' rule) decision process that simultaneously considers the diagnosticity of the evidence for the 'WORD' response and the 'NONWORD' response. The model calculates the odds ratio that the presented…
Goldbart, Juliet; Chadwick, Darren; Buell, Susan
2014-11-01
People with profound intellectual and multiple disabilities (PMLD) have communication impairments as one defining characteristic. To explore speech and language therapists' (SLTs) decision making in communication interventions for people with PMLD, in terms of the intervention approaches used, the factors informing the decisions to use specific interventions and the extent to which the rationales underpinning these decisions related to the components of evidence based practice (EBP), namely empirical evidence, clinical experience and client/carer views and values. A questionnaire on communication assessment and intervention for people with PMLD was sent to SLTs in the UK to elicit information on: the communication intervention approaches they used; their rationales for their intervention choices; their use of published evidence to inform decision making. Intensive interaction and objects of reference were the communication interventions most often used with people with PMLD, with some differences between children and adults evident. Rationales provided conformed somewhat to the EBP framework though extension of the existing framework and addition of practical and organizational considerations led to a revised typology of rationale for decision making. Rationales most frequently related to the empowerment, development and behavioural preferences of the person with PMLD. Empirical research evidence was seldom mentioned by SLTs as informing intervention decision making leading to very diverse practice. There is a need for further research on the effectiveness of commonly used but under-evaluated interventions. There is also a need to alert SLTs to the evidence base supporting other approaches, particularly switch-based, cause and effect approaches. © 2014 Royal College of Speech and Language Therapists.
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.
State-of-the-evidence reviews: advantages and challenges of including grey literature.
Benzies, Karen M; Premji, Shahirose; Hayden, K Alix; Serrett, Karen
2006-01-01
Increasingly, health policy decision-makers and professionals are turning to research-based evidence to support decisions about policy and practice. Systematic reviews are useful for gathering, summarizing, and synthesizing published and unpublished research about clearly defined interventions. State-of-the-evidence reviews are broader than traditional systematic reviews and may include not only published and unpublished research, but also published and unpublished non-research literature. Decisions about whether to include this "grey literature" in a review are challenging and lead to many questions about whether the advantages outweigh the challenges. The primary purpose of this article is to describe what constitutes grey literature, and methods to locate it and assess its quality. The secondary purpose is to discuss the core issues to consider when making decisions to include grey literature in a state-of-the-evidence review. A recent state-of-the-evidence review is used as an exemplar to present advantages and challenges related to including grey literature in a review. Despite the challenges, in the exemplar, inclusion of grey literature was useful to validate the results of a research-based literature search. Decisions about whether to include grey literature in a state-of-the-evidence review are complex. A checklist to assist in decision-making was created as a tool to assist the researcher in determining whether it is advantageous to include grey literature in a review.
DECISION-MAKING ALIGNED WITH RAPID-CYCLE EVALUATION IN HEALTH CARE.
Schneeweiss, Sebastian; Shrank, William H; Ruhl, Michael; Maclure, Malcolm
2015-01-01
Availability of real-time electronic healthcare data provides new opportunities for rapid-cycle evaluation (RCE) of health technologies, including healthcare delivery and payment programs. We aim to align decision-making processes with stages of RCE to optimize the usefulness and impact of rapid results. Rational decisions about program adoption depend on program effect size in relation to externalities, including implementation cost, sustainability, and likelihood of broad adoption. Drawing on case studies and experience from drug safety monitoring, we examine how decision makers have used scientific evidence on complex interventions in the past. We clarify how RCE alters the nature of policy decisions; develop the RAPID framework for synchronizing decision-maker activities with stages of RCE; and provide guidelines on evidence thresholds for incremental decision-making. In contrast to traditional evaluations, RCE provides early evidence on effectiveness and facilitates a stepped approach to decision making in expectation of future regularly updated evidence. RCE allows for identification of trends in adjusted effect size. It supports adapting a program in midstream in response to interim findings, or adapting the evaluation strategy to identify true improvements earlier. The 5-step RAPID approach that utilizes the cumulating evidence of program effectiveness over time could increase policy-makers' confidence in expediting decisions. RCE enables a step-wise approach to HTA decision-making, based on gradually emerging evidence, reducing delays in decision-making processes after traditional one-time evaluations.
Siebert, Uwe; Rochau, Ursula; Claxton, Karl
2013-01-01
Decision analysis (DA) and value-of-information (VOI) analysis provide a systematic, quantitative methodological framework that explicitly considers the uncertainty surrounding the currently available evidence to guide healthcare decisions. In medical decision making under uncertainty, there are two fundamental questions: 1) What decision should be made now given the best available evidence (and its uncertainty)?; 2) Subsequent to the current decision and given the magnitude of the remaining uncertainty, should we gather further evidence (i.e., perform additional studies), and if yes, which studies should be undertaken (e.g., efficacy, side effects, quality of life, costs), and what sample sizes are needed? Using the currently best available evidence, VoI analysis focuses on the likelihood of making a wrong decision if the new intervention is adopted. The value of performing further studies and gathering additional evidence is based on the extent to which the additional information will reduce this uncertainty. A quantitative framework allows for the valuation of the additional information that is generated by further research, and considers the decision maker's objectives and resource constraints. Claxton et al. summarise: "Value of information analysis can be used to inform a range of policy questions including whether a new technology should be approved based on existing evidence, whether it should be approved but additional research conducted or whether approval should be withheld until the additional evidence becomes available." [Claxton K. Value of information entry in Encyclopaedia of Health Economics, Elsevier, forthcoming 2014.] The purpose of this tutorial is to introduce the framework of systematic VoI analysis to guide further research. In our tutorial article, we explain the theoretical foundations and practical methods of decision analysis and value-of-information analysis. To illustrate, we use a simple case example of a foot ulcer (e.g., with diabetes) as well as key references from the literature, including examples for the use of the decision-analytic VoI framework by health technology assessment agencies to guide further research. These concepts may guide stakeholders involved or interested in how to determine whether or not and, if so, which additional evidence is needed to make decisions. Copyright © 2013. Published by Elsevier GmbH.
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.
78 FR 9698 - Agency Forms Undergoing Paperwork Reduction Act Review
Federal Register 2010, 2011, 2012, 2013, 2014
2013-02-11
... effective at improving health care quality. While evidence-based approaches for decision-making have become standard in healthcare, this has been limited in laboratory medicine. No single-evidence-based model for... (LMBP) initiative to develop new systematic evidence reviews methods for making evidence-based...
Harris, Claire; Allen, Kelly; Waller, Cara; Dyer, Tim; Brooke, Vanessa; Garrubba, Marie; Melder, Angela; Voutier, Catherine; Gust, Anthony; Farjou, Dina
2017-06-21
This is the seventh in a series of papers reporting Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. The SHARE Program was a systematic, integrated, evidence-based program for resource allocation within a large Australian health service. It aimed to facilitate proactive use of evidence from research and local data; evidence-based decision-making for resource allocation including disinvestment; and development, implementation and evaluation of disinvestment projects. From the literature and responses of local stakeholders it was clear that provision of expertise and education, training and support of health service staff would be required to achieve these aims. Four support services were proposed. This paper is a detailed case report of the development, implementation and evaluation of a Data Service, Capacity Building Service and Project Support Service. An Evidence Service is reported separately. Literature reviews, surveys, interviews, consultation and workshops were used to capture and process the relevant information. Existing theoretical frameworks were adapted for evaluation and explication of processes and outcomes. Surveys and interviews identified current practice in use of evidence in decision-making, implementation and evaluation; staff needs for evidence-based practice; nature, type and availability of local health service data; and preferred formats for education and training. The Capacity Building and Project Support Services were successful in achieving short term objectives; but long term outcomes were not evaluated due to reduced funding. The Data Service was not implemented at all. Factors influencing the processes and outcomes are discussed. Health service staff need access to education, training, expertise and support to enable evidence-based decision-making and to implement and evaluate the changes arising from those decisions. Three support services were proposed based on research evidence and local findings. Local factors, some unanticipated and some unavoidable, were the main barriers to successful implementation. All three proposed support services hold promise as facilitators of EBP in the local healthcare setting. The findings from this study will inform further exploration.
Rahn, Anne Christin; Köpke, Sascha; Kasper, Jürgen; Vettorazzi, Eik; Mühlhauser, Ingrid; Heesen, Christoph
2015-03-21
Multiple sclerosis is a chronic neurological condition usually starting in early adulthood and regularly leading to severe disability. Immunotherapy options are growing in number and complexity, while costs of treatments are high and adherence rates remain low. Therefore, treatment decision-making has become more complex for patients. Structured decision coaching, based on the principles of evidence-based patient information and shared decision-making, has the potential to facilitate participation of individuals in the decision-making process. This cluster randomised controlled trial follows the assumption that decision coaching by trained nurses, using evidence-based patient information and preference elicitation, will facilitate informed choices and induce higher decision quality, as well as better decisional adherence. The decision coaching programme will be evaluated through an evaluator-blinded superiority cluster randomised controlled trial, including 300 patients with suspected or definite relapsing-remitting multiple sclerosis, facing an immunotherapy decision. The clusters are 12 multiple sclerosis outpatient clinics in Germany. Further, the trial will be accompanied by a mixed-methods process evaluation and a cost-effectiveness study. Nurses in the intervention group will be trained in shared decision-making, coaching, and evidence-based patient information principles. Patients who meet the inclusion criteria will receive decision coaching (intervention group) with up to three face-to-face coaching sessions with a trained nurse (decision coach) or counselling as usual (control group). Patients in both groups will be given access to an evidence-based online information tool. The primary outcome is 'informed choice' after six months, assessed with the multi-dimensional measure of informed choice including the sub-dimensions risk knowledge (questionnaire), attitude concerning immunotherapy (questionnaire), and immunotherapy uptake (telephone survey). Secondary outcomes include decisional conflict, adherence to immunotherapy decisions, autonomy preference, planned behaviour, coping self-efficacy, and perceived involvement in coaching and decisional encounters. Safety outcomes are comprised of anxiety and depression and disease-specific quality of life. This trial will assess the effectiveness of a new model of patient decision support concerning MS-immunotherapy options. The delegation of treatment information provision from physicians to trained nurses bears the potential to change current doctor-focused practice in Germany. Current Controlled Trials (identifier: ISRCTN37929939 ), May 27, 2014.
ERIC Educational Resources Information Center
Schroeder, Julie; Guin, Cecile C.; Pogue, Rene; Bordelon, Danna
2006-01-01
Providing an effective defense for individuals charged with capital crimes requires a diligent, thorough investigation by a mitigation specialist. However, research suggests that mitigation often plays a small role in the decision for life. Jurors often make sentencing decisions prematurely, basing those decisions on their personal reactions to…
Stakeholders apply the GRADE evidence-to-decision framework to facilitate coverage decisions.
Dahm, Philipp; Oxman, Andrew D; Djulbegovic, Benjamin; Guyatt, Gordon H; Murad, M Hassan; Amato, Laura; Parmelli, Elena; Davoli, Marina; Morgan, Rebecca L; Mustafa, Reem A; Sultan, Shahnaz; Falck-Ytter, Yngve; Akl, Elie A; Schünemann, Holger J
2017-06-01
Coverage decisions are complex and require the consideration of many factors. A well-defined, transparent process could improve decision-making and facilitate decision-maker accountability. We surveyed key US-based stakeholders regarding their current approaches for coverage decisions. Then, we held a workshop to test an evidence-to-decision (EtD) framework for coverage based on the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) criteria. A total of 42 individuals (including 19 US stakeholders as well as international health policymakers and GRADE working group members) attended the workshop. Of the 19 stakeholders, 14 (74%) completed the survey before the workshop. Almost all of their organizations (13 of 14; 93%) used systematic reviews for coverage decision-making; few (2 of 14; 14%) developed their own evidence synthesis; a majority (9 of 14; 64%) rated the certainty of evidence (using various systems); almost all (13 of 14; 93%) denied formal consideration of resource use; and half (7 of 14; 50%) reported explicit criteria for decision-making. At the workshop, stakeholders successfully applied the EtD framework to four case studies and provided narrative feedback, which centered on contextual factors affecting coverage decisions in the United States, the need for reliable data on subgroups of patients, and the challenge of decision-making without formal consideration of resource use. Stakeholders successfully applied the EtD framework to four case studies and highlighted contextual factors affecting coverage decisions and affirmed its value. Their input informed the further development of a revised EtD framework, now publicly available (http://gradepro.org/). Published by Elsevier Inc.
KNOW ESSENTIALS: a tool for informed decisions in the absence of formal HTA systems.
Mathew, Joseph L
2011-04-01
Most developing countries and resource-limited settings lack robust health technology assessment (HTA) systems. Because the development of locally relevant HTA is not immediately viable, and the extrapolation of external HTA is inappropriate, a new model for evaluating health technologies is required. The aim of this study was to describe the development and application of KNOW ESSENTIALS, a tool facilitating evidence-based decisions on health technologies by stakeholders in settings lacking formal HTA systems. Current HTA methodology was examined through literature search. Additional issues relevant to resource-limited settings, but not adequately addressed in current methodology, were identified through further literature search, appraisal of contextually relevant issues, discussion with healthcare professionals familiar with the local context, and personal experience. A set of thirteen elements important for evidence-based decisions was identified, selected and combined into a tool with the mnemonic KNOW ESSENTIALS. Detailed definitions for each element, coding for the elements, and a system to evaluate a given health technology using the tool were developed. Developing countries and resource-limited settings face several challenges to informed decision making. Models that are relevant and applicable in high-income countries are unlikely in such settings. KNOW ESSENTIALS is an alternative that facilitates evidence-based decision making by stakeholders without formal expertise in HTA. The tool could be particularly useful, as an interim measure, in healthcare systems that are developing HTA capacity. It could also be useful anywhere when rapid evidence-based decisions on health technologies are required.
From Evidence Based Medicine to Medicine Based Evidence.
Horwitz, Ralph I; Hayes-Conroy, Allison; Caricchio, Roberto; Singer, Burton H
2017-11-01
Evidence based medicine, using randomized controlled trials and meta-analyses as the major tools and sources of evidence about average results for heterogeneous groups of patients, developed as a reaction against poorly designed observational treatment research and physician reliance on personal experience with other patients as a guide to decision-making about a patient at hand. However, these tools do not answer the clinician's question: "Will a given therapeutic regimen help my patient at a given point in her/his clinical course?" We introduce fine-grained profiling of the patient at hand, accompanied by comparative evidence of responses from approximate matches to this patient on whom a contemplated treatment has/has not been administered. This represents medicine based evidence that is tuned to decision-making for the particular patient. Copyright © 2017 Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Wong, Rose
2017-01-01
This article adds to the growing body of literature on the use of evidence-based practice (EBP) in social work. Specifically, it examines a 9-hour EBP educational model designed to prepare MSW students for appropriate decision-making strategies in working with multicultural client populations. The model places emphasis on identification and…
Silva, Silvio Fernandes da; Souza, Nathan Mendes; Barreto, Jorge Otávio Maia
2014-11-01
The scope of this article was to identify the boundaries of the autonomy of local administration in the context of the federal pact in the Brazilian Unified Health System and the importance and potential for promoting innovation, creativity and evidence-based decision-making by local governments. The methodology used was to ask questions that favored dialogue with the specific literature to identify the influence of centrally-formulated policies in spaces of local autonomy and then to identify strategies to foster innovation, creativity and the systematic use of evidence-based research in health policy implementation. A gradual reduction in municipal decision-making autonomy was detected due to increased financial commitment of the municipalities resulting from responsibilities assumed, albeit with the possibility of reverting this trend in the more recent context. Some determinants and challenges for the dissemination of innovative practices were analyzed and some relevant national and international experiences in this respect were presented. The conclusion drawn is that it is possible to make local decision-making more effective provided that initiatives are consolidated to promote this culture and the formulation and implementation of evidence-based health policies.
Cognitive Continuum Theory in nursing decision-making.
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.
Dowie, J.
2001-01-01
Most references to "leadership" and "learning" as sources of quality improvement in medical care reflect an implicit commitment to the decision technology of "clinical judgement". All attempts to sustain this waning decision technology by clinical guidelines, care pathways, "evidence based practice", problem based curricula, and other stratagems only increase the gap between what is expected of doctors in today's clinical situation and what is humanly possible, hence the morale, stress, and health problems they are increasingly experiencing. Clinical guidance programmes based on decision analysis represent the coming decision technology, and proactive adaptation will produce independent doctors who can deliver excellent evidence based and preference driven care while concentrating on the human aspects of the therapeutic relation, having been relieved of the unbearable burdens of knowledge and information processing currently laid on them. History is full of examples of the incumbents of dominant technologies preferring to die than to adapt, and medicine needs both learning and leadership if it is to avoid repeating this mistake. Key Words: decision technology; clinical guidance programmes; decision analysis PMID:11700381
Application of evidence-based dentistry: from research to clinical periodontal practice.
Kwok, Vivien; Caton, Jack G; Polson, Alan M; Hunter, Paul G
2012-06-01
Dentists need to make daily decisions regarding patient care, and these decisions should essentially be scientifically sound. Evidence-based dentistry is meant to empower clinicians to provide the most contemporary treatment. The benefits of applying the evidence-based method in clinical practice include application of the most updated treatment and stronger reasoning to justify the treatment. A vast amount of information is readily accessible with today's digital technology, and a standardized search protocol can be developed to ensure that a literature search is valid, specific and repeatable. It involves developing a preset question (population, intervention, comparison and outcome; PICO) and search protocol. It is usually used academically to perform commissioned reviews, but it can also be applied to answer simple clinical queries. The scientific evidence thus obtained can then be considered along with patient preferences and values, clinical patient circumstances and the practitioner's experience and judgment in order to make the treatment decision. This paper describes how clinicians can incorporate evidence-based methods into patient care and presents a clinical example to illustrate the process. © 2012 John Wiley & Sons A/S.
Development of an evidence-based decision pathway for vestibular schwannoma treatment options.
Linkov, Faina; Valappil, Benita; McAfee, Jacob; Goughnour, Sharon L; Hildrew, Douglas M; McCall, Andrew A; Linkov, Igor; Hirsch, Barry; Snyderman, Carl
To integrate multiple sources of clinical information with patient feedback to build evidence-based decision support model to facilitate treatment selection for patients suffering from vestibular schwannomas (VS). This was a mixed methods study utilizing focus group and survey methodology to solicit feedback on factors important for making treatment decisions among patients. Two 90-minute focus groups were conducted by an experienced facilitator. Previously diagnosed VS patients were recruited by clinical investigators at the University of Pittsburgh Medical Center (UPMC). Classical content analysis was used for focus group data analysis. Providers were recruited from practices within the UPMC system and were surveyed using Delphi methods. This information can provide a basis for multi-criteria decision analysis (MCDA) framework to develop a treatment decision support system for patients with VS. Eight themes were derived from these data (focus group + surveys): doctor/health care system, side effects, effectiveness of treatment, anxiety, mortality, family/other people, quality of life, and post-operative symptoms. These data, as well as feedback from physicians were utilized in building a multi-criteria decision model. The study illustrated steps involved in the development of a decision support model that integrates evidence-based data and patient values to select treatment alternatives. Studies focusing on the actual development of the decision support technology for this group of patients are needed, as decisions are highly multifactorial. Such tools have the potential to improve decision making for complex medical problems with alternate treatment pathways. Copyright © 2016 Elsevier Inc. All rights reserved.
[Big data analysis and evidence-based medicine: controversy or cooperation].
Chen, Xinzu; Hu, Jiankun
2016-01-01
The development of evidence-based medicince should be an important milestone from the empirical medicine to the evidence-driving modern medicine. With the outbreak in biomedical data, the rising big data analysis can efficiently solve exploratory questions or decision-making issues in biomedicine and healthcare activities. The current problem in China is that big data analysis is still not well conducted and applied to deal with problems such as clinical decision-making, public health policy, and should not be a debate whether big data analysis can replace evidence-based medicine or not. Therefore, we should clearly understand, no matter whether evidence-based medicine or big data analysis, the most critical infrastructure must be the substantial work in the design, constructure and collection of original database in China.
An Overview of Evidence-Based Program Registers (EBPRs) for Behavioral Health
Burkhardt, Jason T.; Schröter, Daniela C.; Magura, Stephen; Means, Stephanie N.; Coryn, Chris L.S.
2015-01-01
Evaluations of behavioral health interventions have identified many that are potentially effective. However, clinicians and other decision makers typically lack the time and ability to effectively search and synthesize the relevant research literature. In response to this opportunity, and to increasing policy and funding pressures for the use of evidence-based practices, a number of “what works” websites have emerged to assist decision makers in selecting interventions with the highest probability of benefit. However, these registers as a whole are not well understood. This article, which represents phase one of a concurrent mixed methods study, presents a review of the scopes, structures, dissemination strategies, uses, and challenges faced by evidence-based registers in the behavioral health disciplines. The major findings of this study show that in general, registers of evidence-based practices are able, to a degree, to identify the most effective practices and meet the needs of decision makers. However, much needs to be done to improve the ability of the registers to fully realize their purpose. PMID:25450777
Validation of educational assessments: a primer for simulation and beyond.
Cook, David A; Hatala, Rose
2016-01-01
Simulation plays a vital role in health professions assessment. This review provides a primer on assessment validation for educators and education researchers. We focus on simulation-based assessment of health professionals, but the principles apply broadly to other assessment approaches and topics. Validation refers to the process of collecting validity evidence to evaluate the appropriateness of the interpretations, uses, and decisions based on assessment results. Contemporary frameworks view validity as a hypothesis, and validity evidence is collected to support or refute the validity hypothesis (i.e., that the proposed interpretations and decisions are defensible). In validation, the educator or researcher defines the proposed interpretations and decisions, identifies and prioritizes the most questionable assumptions in making these interpretations and decisions (the "interpretation-use argument"), empirically tests those assumptions using existing or newly-collected evidence, and then summarizes the evidence as a coherent "validity argument." A framework proposed by Messick identifies potential evidence sources: content, response process, internal structure, relationships with other variables, and consequences. Another framework proposed by Kane identifies key inferences in generating useful interpretations: scoring, generalization, extrapolation, and implications/decision. We propose an eight-step approach to validation that applies to either framework: Define the construct and proposed interpretation, make explicit the intended decision(s), define the interpretation-use argument and prioritize needed validity evidence, identify candidate instruments and/or create/adapt a new instrument, appraise existing evidence and collect new evidence as needed, keep track of practical issues, formulate the validity argument, and make a judgment: does the evidence support the intended use? Rigorous validation first prioritizes and then empirically evaluates key assumptions in the interpretation and use of assessment scores. Validation science would be improved by more explicit articulation and prioritization of the interpretation-use argument, greater use of formal validation frameworks, and more evidence informing the consequences and implications of assessment.
Guidelines and Value-Based Decision Making: An Evolving Role for Payers.
McCauley, Janet L
2015-01-01
Payers use evidence-based guidelines to promote effective health diagnoses and treatments for their members and to ensure that members are not subject to harmful or wasteful care. Payer guidelines inform coverage, but the content of these guidelines relies on the same evidentiary base as clinical treatment guidelines. Recent strategies to foster value through benefit design and alternative reimbursement methodologies illustrate emerging applications for evidence-based guidelines. The current focus on cost effectiveness within health technology assessment, comparative effectiveness research in collaboration with payers, and transparency around payer evidence assessment could better align payers' interests in evidence-based care with those of other stakeholders. The move to value in health care will depend upon credible clinical evidence to enable informed decision making. ©2015 by the North Carolina Institute of Medicine and The Duke Endowment. All rights reserved.
Development and evaluation of online evidence based guideline bank system.
Park, Myonghwa
2006-01-01
The purpose of this study was to develop and evaluate the online evidence-based nursing practice guideline bank system to support the best evidence-based decision in the clinical and community practice settings. The main homepage consisted of seven modules for introduction of site, EBN, guideline bank, guideline development, guideline review, related sites, and community. The major contents in the guidelines were purpose, developer, intended audience, method of development, target population, testing, knowledge components, and evaluation. Electronic versions of the guidelines were displayed by XML, PDF, and PDA versions. The system usability were evaluated by general users, guideline developers, and guideline reviewers on the web and the results showed high scores of satisfaction. This online evidence-based guideline bank system could support nurses' best and cost-effective clinical decision using the sharable standardized guidelines with education module of evidence based nursing.
Does the income tax affect marital decisions?
Alm, J; Whittington, L A
1995-12-01
"This paper discusses new empirical evidence on the role of income tax incentives in marital decisions [in the United States]. Time-series evidence suggests that taxes have a small but statistically significant effect on the aggregate marriage rate; however, this evidence is sensitive to the time period and the measure of marriage. Additional evidence, based on household longitudinal data, indicates that the probability of marriage falls and that of divorce rises with an increase in the so-called marriage tax, and that the timing of marriage (though not of divorce) is also affected by taxes. In short, there is strong evidence that taxes affect some marital decisions." excerpt
Grant, Aileen; Sullivan, Frank; Dowell, Jon
2013-06-21
Prescribing is a core activity for general practitioners, yet significant variation in the quality of prescribing has been reported. This suggests there may be room for improvement in the application of the current best research evidence. There has been substantial investment in technologies and interventions to address this issue, but effect sizes so far have been small to moderate. This suggests that prescribing is a decision-making process that is not sufficiently understood. By understanding more about prescribing processes and the implementation of research evidence, variation may more easily be understood and more effective interventions proposed. An ethnographic study in three Scottish general practices with diverse organizational characteristics. Practices were ranked by their performance against Audit Scotland prescribing quality indicators, incorporating established best research evidence. Two practices of high prescribing quality and one practice of low prescribing quality were recruited. Participant observation, formal and informal interviews, and a review of practice documentation were employed. Practices ranked as high prescribing quality consistently made and applied macro and micro prescribing decisions, whereas the low-ranking practice only made micro prescribing decisions. Macro prescribing decisions were collective, policy decisions made considering research evidence in light of the average patient, one disease, condition, or drug. Micro prescribing decisions were made in consultation with the patient considering their views, preferences, circumstances and other conditions (if necessary).Although micro prescribing can operate independently, the implementation of evidence-based, quality prescribing was attributable to an interdependent relationship. Macro prescribing policy enabled prescribing decisions to be based on scientific evidence and applied consistently where possible. Ultimately, this influenced prescribing decisions that occur at the micro level in consultation with patients. General practitioners in the higher prescribing quality practices made two different 'types' of prescribing decision; macro and micro. Macro prescribing informs micro prescribing and without a macro basis to draw upon the low-ranked practice had no effective mechanism to engage with, reflect on and implement relevant evidence. Practices that recognize these two levels of decision making about prescribing are more likely to be able to implement higher quality evidence.
2013-01-01
Background Prescribing is a core activity for general practitioners, yet significant variation in the quality of prescribing has been reported. This suggests there may be room for improvement in the application of the current best research evidence. There has been substantial investment in technologies and interventions to address this issue, but effect sizes so far have been small to moderate. This suggests that prescribing is a decision-making process that is not sufficiently understood. By understanding more about prescribing processes and the implementation of research evidence, variation may more easily be understood and more effective interventions proposed. Methods An ethnographic study in three Scottish general practices with diverse organizational characteristics. Practices were ranked by their performance against Audit Scotland prescribing quality indicators, incorporating established best research evidence. Two practices of high prescribing quality and one practice of low prescribing quality were recruited. Participant observation, formal and informal interviews, and a review of practice documentation were employed. Results Practices ranked as high prescribing quality consistently made and applied macro and micro prescribing decisions, whereas the low-ranking practice only made micro prescribing decisions. Macro prescribing decisions were collective, policy decisions made considering research evidence in light of the average patient, one disease, condition, or drug. Micro prescribing decisions were made in consultation with the patient considering their views, preferences, circumstances and other conditions (if necessary). Although micro prescribing can operate independently, the implementation of evidence-based, quality prescribing was attributable to an interdependent relationship. Macro prescribing policy enabled prescribing decisions to be based on scientific evidence and applied consistently where possible. Ultimately, this influenced prescribing decisions that occur at the micro level in consultation with patients. Conclusion General practitioners in the higher prescribing quality practices made two different ‘types’ of prescribing decision; macro and micro. Macro prescribing informs micro prescribing and without a macro basis to draw upon the low-ranked practice had no effective mechanism to engage with, reflect on and implement relevant evidence. Practices that recognize these two levels of decision making about prescribing are more likely to be able to implement higher quality evidence. PMID:23799906
The decision to adopt evidence-based and other innovative mental health practices: risky business?
Panzano, Phyllis C; Roth, Dee
2006-08-01
A risk-based decision-making framework was used to examine the decision to adopt innovative mental health practices, including both evidence-based and other research-guided practices. Seventy-eight projects involving decisions to adopt one of four innovative mental health practices were the focus of this study. Key informants with direct knowledge about the adoption decision provided data for hypothesis testing. As predicted, the propensity to adopt an innovative practice-as measured by decision stage-was negatively related to the perceived risk of adopting the practice, positively related to expected capacity to manage risk, and positively related to an organization's past propensity to take risks. Further, perceived risk, anticipated resource availability, and exposure to field-based evidence explained a substantial part of what differentiated adopters from nonadopters. Finally, several features of innovations known to influence innovation adoption decisions were found to be related in expected ways to perceived risk, capacity to manage risk, and risk propensity. This research supports the view that the decision to adopt an innovative mental health practice is a decision made in consideration of risk. Contrary to popular views that early adopters of innovations are willing to take enormous risks, these data offer the novel idea that early adopters act because they see the risks associated with adopting as lower than their nonadopter counterparts, partly because the risks are seen as more manageable. Implications of results are discussed for organizations considering adoption of innovative health care practices and for state or local mental health authorities hoping for a higher level of adoption in their areas.
Hypertension treatment for older people-navigating between Scylla and Charybdis.
Conroy, Simon Paul; Westendorp, Rudi Gerardus Johannes; Witham, Miles D
2018-05-21
Hypertension is a common condition in older people, but is often one of many conditions, particularly in frail older people, and so is rarely managed in isolation in the real world-which belies the bulk of the evidence upon which is treatment decisions are often based. In this article, we discuss the issues of ageing, including frailty and dementia, and their impact upon blood pressure management. We examine the evidence base for managing hypertension in older people, and explore some therapeutic ideas that might influence treatment decisions and strategies, including shared decision making.
Evidence integration in model-based tree search
Solway, Alec; Botvinick, Matthew M.
2015-01-01
Research on the dynamics of reward-based, goal-directed decision making has largely focused on simple choice, where participants decide among a set of unitary, mutually exclusive options. Recent work suggests that the deliberation process underlying simple choice can be understood in terms of evidence integration: Noisy evidence in favor of each option accrues over time, until the evidence in favor of one option is significantly greater than the rest. However, real-life decisions often involve not one, but several steps of action, requiring a consideration of cumulative rewards and a sensitivity to recursive decision structure. We present results from two experiments that leveraged techniques previously applied to simple choice to shed light on the deliberation process underlying multistep choice. We interpret the results from these experiments in terms of a new computational model, which extends the evidence accumulation perspective to multiple steps of action. PMID:26324932
Crowther, Helen J; Kerridge, Ian
2015-10-01
Therapies utilized in patients with clinically significant haemoglobin disorders appear to vary between clinicians and units. This study aimed to investigate the processes of evidence implementation and medical decision making in the care of such patients in NSW, Australia. Using semi-structured interviews, 11 haematologists discussed their medical decision-making processes with particular attention paid to the use of published evidence. Transcripts were thematically analysed by a single investigator on a line-by-line basis. Decision making surrounding the care of patients with significant haemoglobin disorders varied and was deeply contextual. Three main determinants of clinical decision making were identified - factors relating to the patient and to their illness, factors specific to the clinician and the institution in which they were practising and factors related to the notion of evidence and to utility and role of evidence-based medicine in clinical practice. Clinicians pay considerable attention to medical decision making and evidence incorporation and attempt to tailor these to particular patient contexts. However, the patient context is often inferred and when discordant with the clinician's own contexture can lead to discomfort with decision recommendations. Clinicians strive to improve comfort through the use of experience and trustworthy evidence. © 2015 John Wiley & Sons, Ltd.
Brixner, Diana; Kaló, Zoltán; Maniadakis, Nikos; Kim, Kyoo; Wijaya, Kalman
2018-03-29
This article introduces an Evidence Framework for Off-Patent Pharmaceutical Review (EFOR), which establishes value-based criteria in a template that manufacturers use to provide evidence showing how their products meet those criteria. Health authorities in emerging markets can then use the evidence presented in the EFOR to evaluate off-patent pharmaceuticals (OPPs) in a consistent, transparent, and evidence-based manner to support policy decisions, including pricing, reimbursement, formulary listing, and drug procurement. A literature search found no multi-criteria evidence framework for evaluating OPPs in emerging markets. An International Outcomes Research Board (IORB) of academia and industry experts conducted extensive research, meetings, and workshops to define high-priority criteria to incorporate into an evidence-based health technology assessment (HTA) tool using the multi-criteria decision analysis (MCDA) technique. The resulting framework was further tailored for country-specific needs in workshops in three emerging countries (Kazakhstan, Vietnam, and Indonesia). The IORB defined nine criteria four categories (Product, Manufacturing, Service, and Value Assessment), which OPP manufacturers can use to provide evidence for reimbursement and health policy decision making. Then the IORB developed the EFOR as a base case document, which can be adapted and used as a template by health authorities in emerging countries. Emerging countries have a significant need for an HTA tool that balances affordability with accurate evidence showing the value differentiation of OPPs. The value attributes in this setting often are different from those in developed markets, which emphasize new products and have high regulation and manufacturing standards. The EFOR is an easy-to-use, adaptable framework that emerging countries can use to increase the consistency, transparency, and effectiveness of drug decision making. The open source EFOR is available as Supplemental Materials. Copyright © 2018. Published by Elsevier Inc.
Study design and hierarchy of evidence for surgical decision making.
Sprague, Sheila; McKay, Paula; Thoma, Achilleas
2008-04-01
This article provides a historical overview of the hierarchy of evidence for surgical decision making and discusses key study designs in the hierarchy of evidence. This encompasses meta-analyses, randomized controlled trials, and observational studies, including cohort and case-controlled studies, case series and case reports, and basic science studies. This article also reviews the principles and importance of evidence-based plastic surgery and describes several systems to rate the strength of the scientific evidence.
Integration of evidence-based knowledge management in microsystems: a tele-ICU experience.
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.
How Awareness Changes the Relative Weights of Evidence During Human Decision-Making
Lamme, Victor A. F.; Dehaene, Stanislas
2011-01-01
Human decisions are based on accumulating evidence over time for different options. Here we ask a simple question: How is the accumulation of evidence affected by the level of awareness of the information? We examined the influence of awareness on decision-making using combined behavioral methods and magneto-encephalography (MEG). Participants were required to make decisions by accumulating evidence over a series of visually presented arrow stimuli whose visibility was modulated by masking. Behavioral results showed that participants could accumulate evidence under both high and low visibility. However, a top-down strategic modulation of the flow of incoming evidence was only present for stimuli with high visibility: once enough evidence had been accrued, participants strategically reduced the impact of new incoming stimuli. Also, decision-making speed and confidence were strongly modulated by the strength of the evidence for high-visible but not low-visible evidence, even though direct priming effects were identical for both types of stimuli. Neural recordings revealed that, while initial perceptual processing was independent of visibility, there was stronger top-down amplification for stimuli with high visibility than low visibility. Furthermore, neural markers of evidence accumulation over occipito-parietal cortex showed a strategic bias only for highly visible sensory information, speeding up processing and reducing neural computations related to the decision process. Our results indicate that the level of awareness of information changes decision-making: while accumulation of evidence already exists under low visibility conditions, high visibility allows evidence to be accumulated up to a higher level, leading to important strategical top-down changes in decision-making. Our results therefore suggest a potential role of awareness in deploying flexible strategies for biasing information acquisition in line with one's expectations and goals. PMID:22131904
How awareness changes the relative weights of evidence during human decision-making.
de Lange, Floris P; van Gaal, Simon; Lamme, Victor A F; Dehaene, Stanislas
2011-11-01
Human decisions are based on accumulating evidence over time for different options. Here we ask a simple question: How is the accumulation of evidence affected by the level of awareness of the information? We examined the influence of awareness on decision-making using combined behavioral methods and magneto-encephalography (MEG). Participants were required to make decisions by accumulating evidence over a series of visually presented arrow stimuli whose visibility was modulated by masking. Behavioral results showed that participants could accumulate evidence under both high and low visibility. However, a top-down strategic modulation of the flow of incoming evidence was only present for stimuli with high visibility: once enough evidence had been accrued, participants strategically reduced the impact of new incoming stimuli. Also, decision-making speed and confidence were strongly modulated by the strength of the evidence for high-visible but not low-visible evidence, even though direct priming effects were identical for both types of stimuli. Neural recordings revealed that, while initial perceptual processing was independent of visibility, there was stronger top-down amplification for stimuli with high visibility than low visibility. Furthermore, neural markers of evidence accumulation over occipito-parietal cortex showed a strategic bias only for highly visible sensory information, speeding up processing and reducing neural computations related to the decision process. Our results indicate that the level of awareness of information changes decision-making: while accumulation of evidence already exists under low visibility conditions, high visibility allows evidence to be accumulated up to a higher level, leading to important strategical top-down changes in decision-making. Our results therefore suggest a potential role of awareness in deploying flexible strategies for biasing information acquisition in line with one's expectations and goals.
ERIC Educational Resources Information Center
Baker-Ericzén, Mary J.; Jenkins, Melissa M.; Park, Soojin; Garland, Ann F.
2015-01-01
Background: Mental health professionals' decision-making practice is an area of increasing interest and importance, especially in the pediatric research and clinical communities. Objective: The present study explored the role of prior training in evidence-based treatments (EBTs) on clinicians' assessment and treatment formulations using…
Best Available Evidence: Three Complementary Approaches
ERIC Educational Resources Information Center
Slocum, Timothy A.; Spencer, Trina D.; Detrich, Ronnie
2012-01-01
The best available evidence is one of the three critical features of evidence-based practice. Best available evidence is often considered to be synonymous with extremely high standards for research methodology. However, this notion may limit the scope and impact of evidence based practice to those educational decisions on which high quality…
Objective consensus from decision trees.
Putora, Paul Martin; Panje, Cedric M; Papachristofilou, Alexandros; Dal Pra, Alan; Hundsberger, Thomas; Plasswilm, Ludwig
2014-12-05
Consensus-based approaches provide an alternative to evidence-based decision making, especially in situations where high-level evidence is limited. Our aim was to demonstrate a novel source of information, objective consensus based on recommendations in decision tree format from multiple sources. Based on nine sample recommendations in decision tree format a representative analysis was performed. The most common (mode) recommendations for each eventuality (each permutation of parameters) were determined. The same procedure was applied to real clinical recommendations for primary radiotherapy for prostate cancer. Data was collected from 16 radiation oncology centres, converted into decision tree format and analyzed in order to determine the objective consensus. Based on information from multiple sources in decision tree format, treatment recommendations can be assessed for every parameter combination. An objective consensus can be determined by means of mode recommendations without compromise or confrontation among the parties. In the clinical example involving prostate cancer therapy, three parameters were used with two cut-off values each (Gleason score, PSA, T-stage) resulting in a total of 27 possible combinations per decision tree. Despite significant variations among the recommendations, a mode recommendation could be found for specific combinations of parameters. Recommendations represented as decision trees can serve as a basis for objective consensus among multiple parties.
Strategies for Teaching Evidence-Based Management: What Management Educators Can Learn from Medicine
ERIC Educational Resources Information Center
Wright, April L.; Middleton, Stuart; Greenfield, Geoffrey; Williams, Julian; Brazil, Victoria
2016-01-01
Evidence-based management (EBMgt) is a growing literature stream in management education which contends that management decision making should be informed by the best available scientific evidence (Rousseau, 2006). Encouraged by the success of evidence-based practice in the field of medicine, advocates of EBMgt have increasingly called for…
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.
Snyder, Susan R; Mitropoulou, Christina; Patrinos, George P; Williams, Marc S
2014-01-01
Evidence of the value of pharmacogenomic testing is needed to inform policymakers and clinicians for decision making related to adoption and coverage, and to facilitate prioritization for research and development. Pharmacogenomics has an important role in creating a more efficient healthcare system, and this article addresses how economic evaluation can strategically target evidence gaps for public health priorities with examples from pharmacogenomic medicine. This article begins with a review of the need for and use of economic evaluations in value-based decision making for pharmacogenomic testing. Three important gaps are described with examples demonstrating how they can be addressed: (1) projected impact of hypothetical new technology, (2) pre-implementation assessment of a specific technology, and (3) post-implementation assessment from relevant analytical stakeholder perspectives. Additional needs, challenges and approaches specific to pharmacogenomic economic evaluation in the developing world are also identified. These pragmatic approaches can provide much needed evidence to support real-world value-based decision making for pharmacogenomic-based screening and treatment strategies. © 2014 S. Karger AG, Basel.
The Importance Of Integrating Narrative Into Health Care Decision Making.
Dohan, Daniel; Garrett, Sarah B; Rendle, Katharine A; Halley, Meghan; Abramson, Corey
2016-04-01
When making health care decisions, patients and consumers use data but also gather stories from family and friends. When advising patients, clinicians consult the medical evidence but also use professional judgment. These stories and judgments, as well as other forms of narrative, shape decision making but remain poorly understood. Furthermore, qualitative research methods to examine narrative are rarely included in health science research. We illustrate how narratives shape decision making and explain why it is difficult but necessary to integrate qualitative research on narrative into the health sciences. We draw on social-scientific insights on rigorous qualitative research and our ongoing studies of decision making by patients with cancer, and we describe new tools and approaches that link qualitative research findings with the predominantly quantitative health science scholarship. Finally, we highlight the benefits of more fully integrating qualitative research and narrative analysis into the medical evidence base and into evidence-based medical practice. Project HOPE—The People-to-People Health Foundation, Inc.
Cooke, Steven J; Birnie-Gauvin, Kim; Lennox, Robert J; Taylor, Jessica J; Rytwinski, Trina; Rummer, Jodie L; Franklin, Craig E; Bennett, Joseph R; Haddaway, Neal R
2017-01-01
Policy development and management decisions should be based upon the best available evidence. In recent years, approaches to evidence synthesis, originating in the medical realm (such as systematic reviews), have been applied to conservation to promote evidence-based conservation and environmental management. Systematic reviews involve a critical appraisal of evidence, but studies that lack the necessary rigour (e.g. experimental, technical and analytical aspects) to justify their conclusions are typically excluded from systematic reviews or down-weighted in terms of their influence. One of the strengths of conservation physiology is the reliance on experimental approaches that help to more clearly establish cause-and-effect relationships. Indeed, experimental biology and ecology have much to offer in terms of building the evidence base that is needed to inform policy and management options related to pressing issues such as enacting endangered species recovery plans or evaluating the effectiveness of conservation interventions. Here, we identify a number of pitfalls that can prevent experimental findings from being relevant to conservation or would lead to their exclusion or down-weighting during critical appraisal in a systematic review. We conclude that conservation physiology is well positioned to support evidence-based conservation, provided that experimental designs are robust and that conservation physiologists understand the nuances associated with informing decision-making processes so that they can be more relevant.
Birnie-Gauvin, Kim; Lennox, Robert J.; Taylor, Jessica J.; Rytwinski, Trina; Rummer, Jodie L.; Franklin, Craig E.; Bennett, Joseph R.; Haddaway, Neal R.
2017-01-01
Abstract Policy development and management decisions should be based upon the best available evidence. In recent years, approaches to evidence synthesis, originating in the medical realm (such as systematic reviews), have been applied to conservation to promote evidence-based conservation and environmental management. Systematic reviews involve a critical appraisal of evidence, but studies that lack the necessary rigour (e.g. experimental, technical and analytical aspects) to justify their conclusions are typically excluded from systematic reviews or down-weighted in terms of their influence. One of the strengths of conservation physiology is the reliance on experimental approaches that help to more clearly establish cause-and-effect relationships. Indeed, experimental biology and ecology have much to offer in terms of building the evidence base that is needed to inform policy and management options related to pressing issues such as enacting endangered species recovery plans or evaluating the effectiveness of conservation interventions. Here, we identify a number of pitfalls that can prevent experimental findings from being relevant to conservation or would lead to their exclusion or down-weighting during critical appraisal in a systematic review. We conclude that conservation physiology is well positioned to support evidence-based conservation, provided that experimental designs are robust and that conservation physiologists understand the nuances associated with informing decision-making processes so that they can be more relevant. PMID:28835842
Tosun, Tuğçe; Berkay, Dilara; Sack, Alexander T; Çakmak, Yusuf Ö; Balcı, Fuat
2017-08-01
Decisions are made based on the integration of available evidence. The noise in evidence accumulation leads to a particular speed-accuracy tradeoff in decision-making, which can be modulated and optimized by adaptive decision threshold setting. Given the effect of pre-SMA activity on striatal excitability, we hypothesized that the inhibition of pre-SMA would lead to higher decision thresholds and an increased accuracy bias. We used offline continuous theta burst stimulation to assess the effect of transient inhibition of the right pre-SMA on the decision processes in a free-response two-alternative forced-choice task within the drift diffusion model framework. Participants became more cautious and set higher decision thresholds following right pre-SMA inhibition compared with inhibition of the control site (vertex). Increased decision thresholds were accompanied by an accuracy bias with no effects on post-error choice behavior. Participants also exhibited higher drift rates as a result of pre-SMA inhibition compared with the vertex inhibition. These results, in line with the striatal theory of speed-accuracy tradeoff, provide evidence for the functional role of pre-SMA activity in decision threshold modulation. Our results also suggest that pre-SMA might be a part of the brain network associated with the sensory evidence integration.
Enhancing the role of science in the decision-making of the European Union.
Allio, Lorenzo; Ballantine, Bruce; Meads, Richard
2006-02-01
Used well, science provides effective ways of identifying potential risks, protecting citizens, and using resources wisely. It enables government decisions to be based on evidence and provides a foundation for a rule-based framework that supports global trade. To ensure that the best available science becomes a key input in the decisions made by EU institutions, this abridged version of a working paper produced for the European Policy Centre, a leading, independent think tank, considers how science is currently used in the policy and decision-making processes of the EU, what the limitations of scientific evidence are, and how a risk assessment process based on scientific 'good practices' can be advantageous. Finally, the paper makes recommendations on how to improve the use of science by EU institutions.
Gambrill, E
1999-03-01
Encouraging professionals in training and later to consider practice-related research findings when making important clinical decisions is an on-going concern. Evidenced-Based Medicine (EBM) and the Cochrane Collaboration (CC) provide a source of tools and ideas for doing so, as well as a roster of colleagues who share this interest. Evidenced-based medicine involves integrating clinical expertise with the best available external evidence from systematic research as well as considering the values and expectations of patients/clients. Advantage can be taken of educational formats developed in EBM, such as problem-based learning and critical-appraisal workshops in which participants learn how to ask key answerable questions related to important clinical practice questions (e.g., regarding effectiveness, accuracy of assessment measures, prediction, prevention, and quality of clinical practice guidelines) and to access and critically appraise related research. The Cochrane Collaboration is a world-wide network of centers that prepare, maintain, and disseminate high-quality systematic reviews on the efficacy of healthcare. These databases allow access to evidence related to clinical practice decisions. Forging reciprocal working relationships with those involved in EBM reciprocal and the CC should contribute to the pursuit of shared goals such as basing clinical decisions on the best-available evidence and involving clients as informed consumers.
Evidence-Based Diabetes Prevention and Control Programs and Policies in Local Health Departments.
Zwald, Marissa; Elliott, Lindsay; Brownson, Ross C; Skala, Mahree
2015-12-01
The purpose of this study is to: (1) assess implementation of evidence-based programs and policies (EBPPs) related to diabetes prevention and control in local health departments, (2) assess feasibility of non-implemented diabetes prevention and control EBPPs, and (3) examine individual- and organizational-level factors associated with implementation of diabetes prevention and control EBPPs. An online survey was administered in January 2015 to key representatives of all local health departments in Missouri. Descriptive statistics were used to describe implementation and perceived feasibility of 20 diabetes prevention and control EBPPs. Logistic regression was used to examine the association between individual and organizational factors and diabetes prevention and control EBPP implementation. One hundred local health departments participated (89% response rate) in the online survey. Most frequently implemented diabetes-related EBPPs in local health departments included: nutrition education for agency or community members, increased fruit and vegetable access in community settings, and community-wide campaigns to promote physical activity. Increased encouragement to others in the department to use evidence-based decision making and agency incentives to help employees use evidence-based decision making were positively associated with implementation of diabetes prevention and control EBPPs. Local health departments are on the "front line" of public health, and this study demonstrates the important role these organizations play in implementing diabetes prevention and control EBPPs. Potential leverage points for more widespread adoption of diabetes-related EBPPs in local health departments include education about and encouragement of evidence-based decision making and organizational incentives for employees to integrate evidence-based decision making into their diabetes prevention and control activities. © 2015 The Author(s).
Evidence-based diabetes prevention and control programs and policies in local health departments
Zwald, Marissa; Elliott, Lindsay; Brownson, Ross C.; Skala, Mahree
2016-01-01
Purpose The purpose of this study is to: (1) assess implementation of evidence-based programs and policies (EBPPs) related to diabetes prevention and control in local health departments; (2) assess feasibility of non-implemented diabetes prevention and control EBPPs; and (3) examine individual- and organizational-level factors associated with implementation of diabetes prevention and control EBPPs. Methods An online survey was administered in January 2015 to key representatives of all local health departments in Missouri. Descriptive statistics were used to describe implementation and perceived feasibility of 20 diabetes prevention and control EBPPs. Logistic regression was used to examine the association between individual and organizational factors and diabetes prevention and control EBPP implementation. Results One hundred local health departments participated (89% response rate) in the online survey. Most frequently implemented diabetes-related EBPPs in local health departments included: nutrition education for agency or community members; increased fruit and vegetable access in community settings; and community-wide campaigns to promote physical activity. Increased encouragement to others in the department to use evidence-based decision making and agency incentives to help employees use evidence-based decision making were positively associated with implementation of diabetes prevention and control EBPPs. Conclusions Local health departments are the “front line” of public health and this study demonstrates the important role these organizations play in implementing diabetes prevention and control EBPPs. Potential leverage points for more widespread adoption of diabetes-related EBPPs in local health departments include education about and encouragement of evidence-based decision making and organizational incentives for employees to integrate evidence-based decision making into their diabetes prevention and control activities. PMID:26297714
Treweek, Shaun; Oxman, Andrew D; Alderson, Philip; Bossuyt, Patrick M; Brandt, Linn; Brożek, Jan; Davoli, Marina; Flottorp, Signe; Harbour, Robin; Hill, Suzanne; Liberati, Alessandro; Liira, Helena; Schünemann, Holger J; Rosenbaum, Sarah; Thornton, Judith; Vandvik, Per Olav; Alonso-Coello, Pablo
2013-01-09
Healthcare decision makers face challenges when using guidelines, including understanding the quality of the evidence or the values and preferences upon which recommendations are made, which are often not clear. GRADE is a systematic approach towards assessing the quality of evidence and the strength of recommendations in healthcare. GRADE also gives advice on how to go from evidence to decisions. It has been developed to address the weaknesses of other grading systems and is now widely used internationally. The Developing and Evaluating Communication Strategies to Support Informed Decisions and Practice Based on Evidence (DECIDE) consortium (http://www.decide-collaboration.eu/), which includes members of the GRADE Working Group and other partners, will explore methods to ensure effective communication of evidence-based recommendations targeted at key stakeholders: healthcare professionals, policymakers, and managers, as well as patients and the general public. Surveys and interviews with guideline producers and other stakeholders will explore how presentation of the evidence could be improved to better meet their information needs. We will collect further stakeholder input from advisory groups, via consultations and user testing; this will be done across a wide range of healthcare systems in Europe, North America, and other countries. Targeted communication strategies will be developed, evaluated in randomized trials, refined, and assessed during the development of real guidelines. Results of the DECIDE project will improve the communication of evidence-based healthcare recommendations. Building on the work of the GRADE Working Group, DECIDE will develop and evaluate methods that address communication needs of guideline users. The project will produce strategies for communicating recommendations that have been rigorously evaluated in diverse settings, and it will support the transfer of research into practice in healthcare systems globally.
Variability in visual working memory ability limits the efficiency of perceptual decision making.
Ester, Edward F; Ho, Tiffany C; Brown, Scott D; Serences, John T
2014-04-02
The ability to make rapid and accurate decisions based on limited sensory information is a critical component of visual cognition. Available evidence suggests that simple perceptual discriminations are based on the accumulation and integration of sensory evidence over time. However, the memory system(s) mediating this accumulation are unclear. One candidate system is working memory (WM), which enables the temporary maintenance of information in a readily accessible state. Here, we show that individual variability in WM capacity is strongly correlated with the speed of evidence accumulation in speeded two-alternative forced choice tasks. This relationship generalized across different decision-making tasks, and could not be easily explained by variability in general arousal or vigilance. Moreover, we show that performing a difficult discrimination task while maintaining a concurrent memory load has a deleterious effect on the latter, suggesting that WM storage and decision making are directly linked.
Rankin, Nicole M; Lai, Michelle; Miller, Danielle; Beale, Philip; Spigelman, Allan; Prest, Gabrielle; Turley, Kim; Simes, John
2018-02-01
Multidisciplinary care is advocated as best practice in cancer care. Relatively little is documented about multidisciplinary team (MDT) meeting functioning, decision making and the use of evidence to support decision making in Australia. This descriptive study aimed to examine team functioning, the role of team meetings and evidence use in MDTs whose institutions are members of Sydney Catalyst Translational Cancer Research Centre. We designed a structured 40-item survey instrument about topics that included meeting purpose, organization, resources and documentation; caseload estimates; use of evidence and quality assurance; patient involvement and supportive care needs; and open-ended items about the MDTs strengths and weaknesses. Participants were invited to participate via email and the survey was administered online. Data were analyzed using descriptive and comparative statistics. Thirty-seven MDTs from seven hospitals participated (100% response) and represented common (70%) and rare tumor groups (30%). MDT meeting purpose was reported as treatment (100%) or diagnostic decision making (88%), or for education purposes (70%). Most MDTs based treatment decisions on group consensus (92%), adherence to clinical practice guidelines (57%) or other evidence-based medicine sources (33%). The majority of MDTs discussed only a proportion of new patients at each meeting emphasizing the importance of educational aspects for other cases. Barriers exist in the availability of data to enable audit and reflection on evidence-based practice. MDT strengths included collaboration and quality discussion about patients. MDT meetings focus on treatment decision making, with group consensus playing a significant role in translating research evidence from guidelines into clinical decision making. With a varying proportion of patients discussed in each MDT meeting, a wider audit of multidisciplinary care would enable more accurate assessments of whether treatment recommendations are in accordance with best-practice evidence. © 2017 John Wiley & Sons Australia, Ltd.
Hall, William
2017-01-14
As healthcare resources become increasingly scarce due to growing demand and stagnating budgets, the need for effective priority setting and resource allocation will become ever more critical to providing sustainable care to patients. While societal values should certainly play a part in guiding these processes, the methodology used to capture these values need not necessarily be limited to multi-criterion decision analysis (MCDA)-based processes including 'evidence-informed deliberative processes.' However, if decision-makers intend to not only incorporates the values of the public they serve into decisions but have the decisions enacted as well, consideration should be given to more direct involvement of stakeholders. Based on the examples provided by Baltussen et al, MCDA-based processes like 'evidence-informed deliberative processes' could be one way of achieving this laudable goal. © 2017 The Author(s); Published by Kerman University of Medical Sciences. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Evidence for Busines Intelligence in Health Care: A Literature Review.
Loewen, Liz; Roudsari, Abdul
2017-01-01
This paper outlines a systematic literature review undertaken to establish current evidence regarding the impact of Business Intelligence (BI) on health system decision making and organizational performance. The review also examined BI implementation factors contributing to these constructs. Following the systematic review, inductive content analysis was used to categorize themes within the eight articles identified. This study demonstrated there is little evidence based literature focused on BI impact on organizational decision making and performance within health care. There was evidence found that BI does improve decision making. Implementation success was found to be dependent on several factors, many of which relate to broader organizational culture and readiness.
Information systems: the key to evidence-based health practice.
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
Hudak, R P; Jacoby, I; Meyer, G S; Potter, A L; Hooper, T I; Krakauer, H
1997-01-01
This article describes a training model that focuses on health care management by applying epidemiologic methods to assess and improve the quality of clinical practice. The model's uniqueness is its focus on integrating clinical evidence-based decision making with fundamental principles of resource management to achieve attainable, cost-effective, high-quality health outcomes. The target students are current and prospective clinical and administrative executives who must optimize decision making at the clinical and managerial levels of health care organizations.
ERIC Educational Resources Information Center
DiMeo, Michelle A.; Moore, G. Kurt; Lichtenstein, Carolyn
2012-01-01
Evidence-based treatments (EBTs) are "interventions" that have been proven effective through rigorous research methodologies. Evidence-based practice (EBP), however, refers to a "decision-making process" that integrates the best available research, clinician expertise, and client characteristics. This study examined community mental health service…
Elapsed decision time affects the weighting of prior probability in a perceptual decision task
Hanks, Timothy D.; Mazurek, Mark E.; Kiani, Roozbeh; Hopp, Elizabeth; Shadlen, Michael N.
2012-01-01
Decisions are often based on a combination of new evidence with prior knowledge of the probable best choice. Optimal combination requires knowledge about the reliability of evidence, but in many realistic situations, this is unknown. Here we propose and test a novel theory: the brain exploits elapsed time during decision formation to combine sensory evidence with prior probability. Elapsed time is useful because (i) decisions that linger tend to arise from less reliable evidence, and (ii) the expected accuracy at a given decision time depends on the reliability of the evidence gathered up to that point. These regularities allow the brain to combine prior information with sensory evidence by weighting the latter in accordance with reliability. To test this theory, we manipulated the prior probability of the rewarded choice while subjects performed a reaction-time discrimination of motion direction using a range of stimulus reliabilities that varied from trial to trial. The theory explains the effect of prior probability on choice and reaction time over a wide range of stimulus strengths. We found that prior probability was incorporated into the decision process as a dynamic bias signal that increases as a function of decision time. This bias signal depends on the speed-accuracy setting of human subjects, and it is reflected in the firing rates of neurons in the lateral intraparietal cortex (LIP) of rhesus monkeys performing this task. PMID:21525274
Elapsed decision time affects the weighting of prior probability in a perceptual decision task.
Hanks, Timothy D; Mazurek, Mark E; Kiani, Roozbeh; Hopp, Elisabeth; Shadlen, Michael N
2011-04-27
Decisions are often based on a combination of new evidence with prior knowledge of the probable best choice. Optimal combination requires knowledge about the reliability of evidence, but in many realistic situations, this is unknown. Here we propose and test a novel theory: the brain exploits elapsed time during decision formation to combine sensory evidence with prior probability. Elapsed time is useful because (1) decisions that linger tend to arise from less reliable evidence, and (2) the expected accuracy at a given decision time depends on the reliability of the evidence gathered up to that point. These regularities allow the brain to combine prior information with sensory evidence by weighting the latter in accordance with reliability. To test this theory, we manipulated the prior probability of the rewarded choice while subjects performed a reaction-time discrimination of motion direction using a range of stimulus reliabilities that varied from trial to trial. The theory explains the effect of prior probability on choice and reaction time over a wide range of stimulus strengths. We found that prior probability was incorporated into the decision process as a dynamic bias signal that increases as a function of decision time. This bias signal depends on the speed-accuracy setting of human subjects, and it is reflected in the firing rates of neurons in the lateral intraparietal area (LIP) of rhesus monkeys performing this task.
2013-01-01
Background In 2005, the International Patient Decision Aids Standards Collaboration identified twelve quality dimensions to guide assessment of patient decision aids. One dimension—the delivery of patient decision aids on the Internet—is relevant when the Internet is used to provide some or all components of a patient decision aid. Building on the original background chapter, this paper provides an updated definition for this dimension, outlines a theoretical rationale, describes current evidence, and discusses emerging research areas. Methods An international, multidisciplinary panel of authors examined the relevant theoretical literature and empirical evidence through 2012. Results The updated definition distinguishes Internet-delivery of patient decision aids from online health information and clinical practice guidelines. Theories in cognitive psychology, decision psychology, communication, and education support the value of Internet features for providing interactive information and deliberative support. Dissemination and implementation theories support Internet-delivery for providing the right information (rapidly updated), to the right person (tailored), at the right time (the appropriate point in the decision making process). Additional efforts are needed to integrate the theoretical rationale and empirical evidence from health technology perspectives, such as consumer health informatics, user experience design, and human-computer interaction. Despite Internet usage ranging from 74% to 85% in developed countries and 80% of users searching for health information, it is unknown how many individuals specifically seek patient decision aids on the Internet. Among the 86 randomized controlled trials in the 2011 Cochrane Collaboration’s review of patient decision aids, only four studies focused on Internet-delivery. Given the limited number of published studies, this paper particularly focused on identifying gaps in the empirical evidence base and identifying emerging areas of research. Conclusions As of 2012, the updated theoretical rationale and emerging evidence suggest potential benefits to delivering patient decision aids on the Internet. However, additional research is needed to identify best practices and quality metrics for Internet-based development, evaluation, and dissemination, particularly in the areas of interactivity, multimedia components, socially-generated information, and implementation strategies. PMID:24625064
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.
Antioch, Kathryn M; Drummond, Michael F; Niessen, Louis W; Vondeling, Hindrik
2017-01-01
Economic evidence is influential in health technology assessment world-wide. Clinical Practice Guidelines (CPG) can enable economists to include economic information on health care provision. Application of economic evidence in CPGs, and its integration into clinical practice and national decision making is hampered by objections from professions, paucity of economic evidence or lack of policy commitment. The use of state-of-art economic methodologies will improve this. Economic evidence can be graded by 'checklists' to establish the best evidence for decision making given methodological rigor. New economic evaluation checklists, Multi-Criteria Decision Analyses (MCDA) and other decision criteria enable health economists to impact on decision making world-wide. We analyse the methodologies for integrating economic evidence into CPG agencies globally, including the Agency of Health Research and Quality (AHRQ) in the USA, National Health and Medical Research Council (NHMRC) and Australian political reforms. The Guidelines and Economists Network International (GENI) Board members from Australia, UK, Canada and Denmark presented the findings at the conference of the International Health Economists Association (IHEA) and we report conclusions and developments since. The Consolidated Guidelines for the Reporting of Economic Evaluations (CHEERS) 24 item check list can be used by AHRQ, NHMRC, other CPG and health organisations, in conjunction with the Drummond ten-point check list and a questionnaire that scores that checklist for grading studies, when assessing economic evidence. Cost-effectiveness Analysis (CEA) thresholds, opportunity cost and willingness-to-pay (WTP) are crucial issues for decision rules in CEA generally, including end-of-life therapies. Limitations of inter-rater reliability in checklists can be addressed by including more than one assessor to reach a consensus, especially when impacting on treatment decisions. We identify priority areas to generate economic evidence for CPGs by NHMRC, AHRQ, and other agencies. The evidence may cover demand for care issues such as involved time, logistics, innovation price, price sensitivity, substitutes and complements, WTP, absenteeism and presentism. Supply issues may include economies of scale, efficiency changes, and return on investment. Involved equity and efficiency measures may include cost-of-illness, disease burden, quality-of-life, budget impact, cost-effective ratios, net benefits and disparities in access and outcomes. Priority setting remains essential and trade-off decisions between policy criteria can be based on MCDA, both in evidence based clinical medicine and in health planning.
[Is "evidence-based medicine" followed by "confidence-based medicine"?].
Porzsolt, Franz; Fangerau, Heiner
2010-08-01
In an appeal concerning accusations of defamation, the England and Wales Court of Appeal Decisions determined that evidence-based statements are to be judged as opinions and not statements of fact. Since the authors consider it probable that this legal judgment will exert influence on physicians' decisions about the provision of health care services, they have compiled the implications of the judgment and discuss its consequences. The own analyses and considerations lead to the conclusion that confidence-based medicine follows evidence-based medicine. This extension is necessary because evidence-based medicine has not been able to generate the required trust. Therefore, it will be demanded to underpin the existing concept with additional data. These data will be necessary because it is no longer sufficient to convince scientists with data which are obtained under ideal conditions, but to convince critical members of society with additional data which have been obtained under everyday conditions.
Witt, Claudia M; Huang, Wen-jing; Lao, Lixing; Berman, Brian M
2013-08-01
In clinical research on complementary and integrative medicine, experts and scientists have often pursued a research agenda in spite of an incomplete understanding of the needs of end users. Consequently, the majority of previous clinical trials have mainly assessed the efficacy of interventions. Scant data is available on their effectiveness. Comparative effectiveness research (CER) promises to support decision makers by generating evidence that compares the benefits and harms of best care options. This evidence, more generalizable than evidence generated by traditional randomized clinical trials (RCTs), is better suited to inform real-world care decisions. An emphasis on CER supports the development of the evidence base for clinical and policy decision-making. Whereas in most areas of complementary and integrative medicine data on CER is scarce, available acupuncture research already contributes to CER evidence. This paper will introduce CER and make suggestions for future research.
Witt, Claudia M; Huang, Wen-jing; Lao, Lixing; Bm, Berman
2012-10-01
In clinical research on complementary and integrative medicine, experts and scientists have often pursued a research agenda in spite of an incomplete understanding of the needs of end users. Consequently, the majority of previous clinical trials have mainly assessed the efficacy of interventions. Scant data is available on their effectiveness. Comparative effectiveness research (CER) promises to support decision makers by generating evidence that compares the benefits and harms of the best care options. This evidence, more generalizable than the evidence generated by traditional randomized controlled trials (RCTs), is better suited to inform real-world care decisions. An emphasis on CER supports the development of the evidence base for clinical and policy decision-making. Whereas in most areas of complementary and integrative medicine data on comparative effectiveness is scarce, available acupuncture research already contributes to CER evidence. This paper will introduce CER and make suggestions for future research.
Scientific Evidence and Potential Barriers in the Management of Brazilian Protected Areas.
Giehl, Eduardo L H; Moretti, Marcela; Walsh, Jessica C; Batalha, Marco A; Cook, Carly N
2017-01-01
Protected areas are a crucial tool for halting the loss of biodiversity. Yet, the management of protected areas is under resourced, impacting the ability to achieve effective conservation actions. Effective management depends on the application of the best available knowledge, which can include both scientific evidence and the local knowledge of onsite managers. Despite the clear value of evidence-based conservation, there is still little known about how much scientific evidence is used to guide the management of protected areas. This knowledge gap is especially evident in developing countries, where resource limitations and language barriers may create additional challenges for the use of scientific evidence in management. To assess the extent to which scientific evidence is used to inform management decisions in a developing country, we surveyed Brazilian protected area managers about the information they use to support their management decisions. We targeted on-ground managers who are responsible for management decisions made at the local protected area level. We asked managers about the sources of evidence they use, how frequently they assess the different sources of evidence and the scientific content of the different sources of evidence. We also considered a range of factors that might explain the use of scientific evidence to guide the management of protected areas, such as the language spoken by managers, the accessibility of evidence sources and the characteristics of the managers and the protected areas they manage. The managers who responded to our questionnaire reported that they most frequently made decisions based on their personal experience, with scientific evidence being used relatively infrequently. While managers in our study tended to value scientific evidence less highly than other sources, most managers still considered science important for management decisions. Managers reported that the accessibility of scientific evidence is low relative to other types of evidence, with key barriers being the low levels of open access research and insufficient technical training to enable managers to interpret research findings. Based on our results, we suggest that managers in developing countries face all the same challenges as those in developed countries, along with additional language barriers that can prevent greater use of scientific evidence to support effective management of protected areas in Brazil.
Evidence, research, knowledge: a call for conceptual clarity.
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.
Withdrawal of anticancer therapy in advanced disease: a systematic literature review.
Clarke, G; Johnston, S; Corrie, P; Kuhn, I; Barclay, S
2015-11-11
Current guidelines set out when to start anticancer treatments, but not when to stop as the end of life approaches. Conventional cytotoxic agents are administered intravenously and have major life-threatening toxicities. Newer drugs include molecular targeted agents (MTAs), in particular, small molecule kinase-inhibitors (KIs), which are administered orally. These have fewer life-threatening toxicities, and are increasingly used to palliate advanced cancer, generally offering additional months of survival benefit. MTAs are substantially more expensive, between £2-8 K per month, and perceived as easier to start than stop. A systematic review of decision-making concerning the withdrawal of anticancer drugs towards the end of life within clinical practice, with a particular focus on MTAs. Nine electronic databases searched. PRISMA guidelines followed. Forty-two studies included. How are decisions made? Decision-making was shared and ongoing, including stopping, starting and trying different treatments. Oncologists often experienced 'professional role dissonance' between their self-perception as 'treaters', and talking about end of life care. Why are decisions made? Clinical factors: disease progression, worsening functional status, treatment side-effects. Non-clinical factors: physicians' personal experience, values, emotions. Some patients continued treatment to maintain 'hope', often reflecting limited understanding of palliative goals. When are decisions made? Limited evidence reveals patients' decisions based upon quality of life benefits. Clinicians found timing withdrawal particularly challenging. Who makes the decisions? Decisions were based within physician-patient interaction. Oncologists report that decisions around stopping chemotherapy treatment are challenging, with limited evidence-based guidance outside of clinical trial protocols. The increasing availability of oral MTAs is transforming the management of incurable cancer; blurring boundaries between active treatment and palliative care. No studies specifically addressing decision-making around stopping MTAs in clinical practice were identified. There is a need to develop an evidence base to support physicians and patients with decision-making around the withdrawal of these high cost treatments.
A stochastic multicriteria model for evidence-based decision making in drug benefit-risk analysis.
Tervonen, Tommi; van Valkenhoef, Gert; Buskens, Erik; Hillege, Hans L; Postmus, Douwe
2011-05-30
Drug benefit-risk (BR) analysis is based on firm clinical evidence regarding various safety and efficacy outcomes. In this paper, we propose a new and more formal approach for constructing a supporting multi-criteria model that fully takes into account the evidence on efficacy and adverse drug reactions. Our approach is based on the stochastic multi-criteria acceptability analysis methodology, which allows us to compute the typical value judgments that support a decision, to quantify decision uncertainty, and to compute a comprehensive BR profile. We construct a multi-criteria model for the therapeutic group of second-generation antidepressants. We assess fluoxetine and venlafaxine together with placebo according to incidence of treatment response and three common adverse drug reactions by using data from a published study. Our model shows that there are clear trade-offs among the treatment alternatives. Copyright © 2011 John Wiley & Sons, Ltd.
Grant, A. M.; Richard, Y.; Deland, E.; Després, N.; de Lorenzi, F.; Dagenais, A.; Buteau, M.
1997-01-01
The Autocontrol methodology has been developed in order to support the optimisation of decision-making and the use of resources in the context of a clinical unit. The theoretical basis relates to quality assurance and information systems and is influenced by management and cognitive research in the health domain. The methodology uses population rather than individual decision making and because of its dynamic feedback design promises to have rapid and profound effect on practice. Most importantly the health care professional is the principle user of the Autocontrol system. In this methodology we distinguish three types of evidence necessary for practice change: practice based or internal evidence, best evidence derived from the literature or external evidence concerning the practice in question, and process based evidence on how to optimise the process of practice change. The software used by the system is of the executive decision support type which facilitates interrogation of large databases. The Autocontrol system is designed to interrogate the data of the patient medical record however the latter often lacks data on concomitant resource use and this must be supplemented. This paper reviews the Autocontrol methodology and gives examples from current studies. PMID:9357733
Grant, A M; Richard, Y; Deland, E; Després, N; de Lorenzi, F; Dagenais, A; Buteau, M
1997-01-01
The Autocontrol methodology has been developed in order to support the optimisation of decision-making and the use of resources in the context of a clinical unit. The theoretical basis relates to quality assurance and information systems and is influenced by management and cognitive research in the health domain. The methodology uses population rather than individual decision making and because of its dynamic feedback design promises to have rapid and profound effect on practice. Most importantly the health care professional is the principle user of the Autocontrol system. In this methodology we distinguish three types of evidence necessary for practice change: practice based or internal evidence, best evidence derived from the literature or external evidence concerning the practice in question, and process based evidence on how to optimise the process of practice change. The software used by the system is of the executive decision support type which facilitates interrogation of large databases. The Autocontrol system is designed to interrogate the data of the patient medical record however the latter often lacks data on concomitant resource use and this must be supplemented. This paper reviews the Autocontrol methodology and gives examples from current studies.
7 CFR 900.64 - The Judge's decision.
Code of Federal Regulations, 2010 CFR
2010-01-01
... 7 Agriculture 8 2010-01-01 2010-01-01 false The Judge's decision. 900.64 Section 900.64... Judge's decision. (a) Corrections to and certification of transcript. (1) At such time as the judge may... order, based solely upon the evidence of record, and briefs in support thereof. (c) Judge's Decision...
USDA-ARS?s Scientific Manuscript database
Recent years have witnessed a call for evidence-based decisions in conservation and natural resource management, including data-driven decision-making. Adaptive management (AM) is one prevalent model for integrating scientific data into decision-making, yet AM has faced numerous challenges and limit...
School Counselors and Ethical Decision Making
ERIC Educational Resources Information Center
West, Dana R.
2016-01-01
Students and their parents/guardians rely on school counselors to provide counseling services based on ethically sound principles. However, there is a lack of empirical evidence about what influences a school counselor's ethical decision making. Ethical decision making for this study was defined as the degree to which decisions pertaining to…
Extending the Reach of Evidence-Based Medicine: A Proposed Categorization of Lower-Level Evidence.
Detterbeck, Frank C; Gould, Michael K; Lewis, Sandra Zelman; Patel, Sheena
2018-02-01
Clinical practice involves making many treatment decisions for which only limited formal evidence exists. While the methodology of evidence-based medicine (EBM) has evolved tremendously, there is a need to better characterize lower-level evidence. This should enhance the ability to appropriately weigh the evidence against other considerations, and counter the temptation to think it is more robust than it actually is. A framework to categorize lower-level evidence is proposed, consisting of nonrandomized comparisons, extrapolation using indirect evidence, rationale, and clinical experience (ie, an accumulated general impression). Subtypes are recognized within these categories, based on the degree of confounding in nonrandomized comparisons, the uncertainty involved in extrapolation from indirect evidence, and the plausibility of a rationale. Categorizing the available evidence in this way can promote a better understanding of the strengths and limitations of using such evidence as the basis for treatment decisions in clinically relevant areas that are devoid of higher-level evidence. Copyright © 2017 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.
Evidence-based ethics – What it should be and what it shouldn't
Strech, Daniel
2008-01-01
Background The concept of evidence-based medicine has strongly influenced the appraisal and application of empirical information in health care decision-making. One principal characteristic of this concept is the distinction between "evidence" in the sense of high-quality empirical information on the one hand and rather low-quality empirical information on the other hand. In the last 5 to 10 years an increasing number of articles published in international journals have made use of the term "evidence-based ethics", making a systematic analysis and explication of the term and its applicability in ethics important. Discussion In this article four descriptive and two normative characteristics of the general concept "evidence-based" are presented and explained systematically. These characteristics are to then serve as a framework for assessing the methodological and practical challenges of evidence-based ethics as a developing methodology. The superiority of evidence in contrast to other empirical information has several normative implications such as the legitimization of decisions in medicine and ethics. This implicit normativity poses ethical concerns if there is no formal consent on which sort of empirical information deserves the label "evidence" and which does not. In empirical ethics, which relies primarily on interview research and other methods from the social sciences, we still lack gold standards for assessing the quality of study designs and appraising their findings. Conclusion The use of the term "evidence-based ethics" should be discouraged, unless there is enough consensus on how to differentiate between high- and low-quality information produced by empirical ethics. In the meantime, whenever empirical information plays a role, the process of ethical decision-making should make use of systematic reviews of empirical studies that involve a critical appraisal and comparative discussion of data. PMID:18937838
Goddard, Katrina A.B.; Knaus, William A.; Whitlock, Evelyn; Lyman, Gary H.; Feigelson, Heather Spencer; Schully, Sheri D.; Ramsey, Scott; Tunis, Sean; Freedman, Andrew N.; Khoury, Muin J.; Veenstra, David L.
2013-01-01
Background The clinical utility is uncertain for many cancer genomic applications. Comparative effectiveness research (CER) can provide evidence to clarify this uncertainty. Objectives To identify approaches to help stakeholders make evidence-based decisions, and to describe potential challenges and opportunities using CER to produce evidence-based guidance. Methods We identified general CER approaches for genomic applications through literature review, the authors’ experiences, and lessons learned from a recent, seven-site CER initiative in cancer genomic medicine. Case studies illustrate the use of CER approaches. Results Evidence generation and synthesis approaches include comparative observational and randomized trials, patient reported outcomes, decision modeling, and economic analysis. We identified significant challenges to conducting CER in cancer genomics: the rapid pace of innovation, the lack of regulation, the limited evidence for clinical utility, and the beliefs that genomic tests could have personal utility without having clinical utility. Opportunities to capitalize on CER methods in cancer genomics include improvements in the conduct of evidence synthesis, stakeholder engagement, increasing the number of comparative studies, and developing approaches to inform clinical guidelines and research prioritization. Conclusions CER offers a variety of methodological approaches to address stakeholders’ needs. Innovative approaches are needed to ensure an effective translation of genomic discoveries. PMID:22516979
Osei-Bonsu, Princess E; Bolton, Rendelle E; Wiltsey Stirman, Shannon; Eisen, Susan V; Herz, Lawrence; Pellowe, Maura E
2017-04-01
It is estimated that <15% of veterans with posttraumatic stress disorder (PTSD) have engaged in two evidence-based psychotherapies highly recommended by VA-cognitive processing therapy (CPT) and prolonged exposure (PE). CPT and PE guidelines specify which patients are appropriate, but research suggests that providers may be more selective than the guidelines. In addition, PTSD clinical guidelines encourage "shared decision-making," but there is little research on what processes providers use to make decisions about CPT/PE. Sixteen licensed psychologists and social workers from two VA medical centers working with ≥1 patient with PTSD were interviewed about patient factors considered and decision-making processes for CPT/PE use. Qualitative analyses revealed that patient readiness and comorbid conditions influenced decisions to use or refer patients with PTSD for CPT/PE. Providers reported mentally derived and instances of patient-involved decision-making around CPT/PE use. Continued efforts to assist providers in making informed and collaborative decisions about CPT/PE use are discussed.
Chorpita, Bruce F; Bernstein, Adam; Daleiden, Eric L
2008-03-01
This paper illustrates the application of design principles for tools that structure clinical decision-making. If the effort to implement evidence-based practices in community services organizations is to be effective, attention must be paid to the decision-making context in which such treatments are delivered. Clinical research trials commonly occur in an environment characterized by structured decision making and expert supports. Technology has great potential to serve mental health organizations by supporting these potentially important contextual features of the research environment, through organization and reporting of clinical data into interpretable information to support decisions and anchor decision-making procedures. This article describes one example of a behavioral health reporting system designed to facilitate clinical and administrative use of evidence-based practices. The design processes underlying this system-mapping of decision points and distillation of performance information at the individual, caseload, and organizational levels-can be implemented to support clinical practice in a wide variety of settings.
Gattellari, Melina; Ward, Jeanette E
2005-05-01
Randomised evaluations of resources to facilitate informed decisions about prostate cancer screening are rarely conducted. In this study, 421 men recruited from the community were randomly allocated to receive a leaflet (n = 140) or one of two resources meeting criteria for a decision-aid: a video (n = 141) or an evidence-based booklet, developed by the authors (n = 140). Men in all three groups demonstrated significant increases in knowledge scores from pre to post-test. Scores were significantly higher at post-test amongst those who had received our evidence-based booklet compared with men who received the leaflet or video (P < 0.001). Scores were significantly modified by men's preferences for decisional control (P = 0.002). Decisional conflict was significantly lower amongst men receiving the evidence-based booklet (P = 0.038). Men receiving the evidence-based booklet also were less likely to accept a recommendation by a GP to undergo prostate-specific-antigen (PSA) screening (P = 0.003). Men require detailed information about the pros and cons of PSA screening in order to make an informed decision. Resources are not equivalent in achieving these outcomes.
Shared decision-making and decision support: their role in obstetrics and gynecology.
Tucker Edmonds, Brownsyne
2014-12-01
To discuss the role for shared decision-making in obstetrics/gynecology and to review evidence on the impact of decision aids on reproductive health decision-making. Among the 155 studies included in a 2014 Cochrane review of decision aids, 31 (29%) addressed reproductive health decisions. Although the majority did not show evidence of an effect on treatment choice, there was a greater uptake of mammography in selected groups of women exposed to decision aids compared with usual care; and a statistically significant reduction in the uptake of hormone replacement therapy among detailed decision aid users compared with simple decision aid users. Studies also found an effect on patient-centered outcomes of care, such as medication adherence, quality-of-life measures, and anxiety scores. In maternity care, only decision analysis tools affected final treatment choice, and patient-directed aids yielded no difference in planned mode of birth after cesarean. There is untapped potential for obstetricians/gynecologists to optimize decision support for reproductive health decisions. Given the limited evidence-base guiding practice, the preference-sensitive nature of reproductive health decisions, and the increase in policy efforts and financial incentives to optimize patients' satisfaction, it is increasingly important for obstetricians/gynecologists to appreciate the role of shared decision-making and decision support in providing patient-centered reproductive healthcare.
Wong, Carlos King Ho; Wu, Olivia; Cheung, Bernard M Y
2018-02-01
The aim of this article is to describe the process, evaluation criteria, and possible outcomes of decision-making for new drugs listed in the Hong Kong Hospital Authority Drug Formulary in comparison to the health technology assessment (HTA) policy overseas. Details of decision-making processes including the new drug listing submission, Drug Advisory Committee (DAC) meeting, and procedures prior to and following the meeting, were extracted from the official Hong Kong Hospital Authority drug formulary management website and manual. Publicly-available information related to the new drug decision-making process for five HTA agencies [the National Institute of Health and Care Excellence (NICE), the Scottish Medicines Consortium (SMC), the Australia Pharmaceutical Benefits Advisory Committee (PBAC), the Canadian Agency for Drugs and Technologies in Health (CADTH), and the New Zealand Pharmaceutical Management Agency (PHARMAC)] were reviewed and retrieved from official documents from public domains. The DAC is in charge of systemically and critically appraising new drugs before they are listed on the formulary, reviewing submitted applications, and making the decision to list the drug based on scientific evidence to which safety, efficacy, and cost-effectiveness are the primary considerations. When compared with other HTA agencies, transparency of the decision-making process of the DAC, the relevance of clinical and health economic evidence, and the lack of health economic and methodological input of submissions are the major challenges to the new-drug listing policy in Hong Kong. Despite these challenges, this review provides suggestions for the establishment of a more transparent, credible, and evidence-based decision-making process in the Hong Kong Hospital Authority Drug Formulary. Proposals for improvement in the listing of new drugs in the formulary should be a priority of healthcare reforms.
Schuurman, Nadine; Leight, Margo; Berube, Myriam
2008-01-01
Background The creation of successful health policy and location of resources increasingly relies on evidence-based decision-making. The development of intuitive, accessible tools to analyse, display and disseminate spatial data potentially provides the basis for sound policy and resource allocation decisions. As health services are rationalized, the development of tools such graphical user interfaces (GUIs) is especially valuable at they assist decision makers in allocating resources such that the maximum number of people are served. GIS can used to develop GUIs that enable spatial decision making. Results We have created a Web-based GUI (wGUI) to assist health policy makers and administrators in the Canadian province of British Columbia make well-informed decisions about the location and allocation of time-sensitive service capacities in rural regions of the province. This tool integrates datasets for existing hospitals and services, regional populations and road networks to allow users to ascertain the percentage of population in any given service catchment who are served by a specific health service, or baskets of linked services. The wGUI allows policy makers to map trauma and obstetric services against rural populations within pre-specified travel distances, illustrating service capacity by region. Conclusion The wGUI can be used by health policy makers and administrators with little or no formal GIS training to visualize multiple health resource allocation scenarios. The GUI is poised to become a critical decision-making tool especially as evidence is increasingly required for distribution of health services. PMID:18793428
Developing guidelines in low-income and middle-income countries: lessons from Kenya
English, Mike; Irimu, Grace; Nyamai, Rachel; Were, Fred; Garner, Paul; Opiyo, Newton
2017-01-01
There are few examples of sustained nationally organised, evidence-informed clinical guidelines development processes in Sub-Saharan Africa. We describe the evolution of efforts from 2005 to 2015 to support evidence-informed decision making to guide admission hospital care practices in Kenya. The approach to conduct reviews, present evidence, and structure and promote transparency of consensus-based procedures for making recommendations improved over four distinct rounds of policy making. Efforts to engage important voices extended from government and academia initially to include multiple professional associations, regulators and practitioners. More than 100 people have been engaged in the decision-making process; an increasing number outside the research team has contributed to the conduct of systematic reviews, and 31 clinical policy recommendations has been developed. Recommendations were incorporated into clinical guideline booklets that have been widely disseminated with a popular knowledge and skills training course. Both helped translate evidence into practice. We contend that these efforts have helped improve the use of evidence to inform policy. The systematic reviews, Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approaches and evidence to decision-making process are well understood by clinicians, and the process has helped create a broad community engaged in evidence translation together with a social or professional norm to use evidence in paediatric care in Kenya. Specific sustained efforts should be made to support capacity and evidence-based decision making in other African settings and clinical disciplines. PMID:28584069
van Wingerden, Jan J; Ubbink, Dirk T; van der Horst, Chantal M A M; de Mol, Bas A J M
2014-11-23
Early recognition and, where possible, avoidance of risk factors that contribute to the development of poststernotomy mediastinitis (PSM) form the basis for successful prevention. Once the presence of PSM is diagnosed, the known risk factors have been shown to have limited influence on management decisions. Evidence-based knowledge on treatment decisions, which include the extent and type of surgical intervention (other than debridement), timing and others is available but has not yet been incorporated into a classification on management decisions regarding PSM. Ours is a first attempt at developing a classification system for management of PSM, taking the various evidence-based reconstructive options into consideration. The classification is simple to introduce (there are four Types) and relies on the careful establishment of two variables (sternal stability and sternal bone viability and stock) prior to deciding on the best available reconstructive option. It should allow better insight into why treatment decisions fail or have to be altered and will allow better comparison of treatment outcomes between various institutions.
Clifford, Amanda M; Ryan, Jean; Walsh, Cathal; McCurtin, Arlene
2017-02-23
Patient decision aids (DAs) are support tools designed to provide patients with relevant information to help them make informed decisions about their healthcare. While DAs can be effective in improving patient knowledge and decision quality, it is unknown what types of information and evidence are used to populate such decision tools. Systematic methods were used to identify and appraise the relevant literature and patient DAs published between 2006 and 2015. Six databases (Academic Search Complete, AMED, CINAHL, Biomedical Reference Collection, General Sciences and MEDLINE) and reference list searching were used. Articles evaluating the effectiveness of the DAs were appraised using the Cochrane Risk of Bias tool. The content, quality and sources of evidence in the decision aids were evaluated using the IPDASi-SF and a novel classification system. Findings were synthesised and a narrative analysis was performed on the results. Thirteen studies representing ten DAs met the inclusion criteria. The IPDASI-SF score ranged from 9 to 16 indicating many of the studies met the majority of quality criteria. Sources of evidence were described but reports were sometimes generic or missing important information. The majority of DAs incorporated high quality research evidence including systematic reviews and meta-analyses. Patient and practice evidence was less commonly employed, with only a third of included DAs using these to populate decision aid content. The quality of practice and patient evidence ranged from high to low. Contextual factors were addressed across all DAs to varying degrees and covered a range of factors. This is an initial study examining the information and evidence used to populate DAs. While research evidence and contextual factors are well represented in included DAs, consideration should be given to incorporating high quality information representing all four pillars of evidence based practice when developing DAs. Further, patient and expert practice evidence should be acquired rigorously and DAs should report the means by which such evidence is obtained with citations clearly provided.
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.
Evidence-based dentistry: a model for clinical practice.
Faggion, Clóvis M; Tu, Yu-Kang
2007-06-01
Making decisions in dentistry should be based on the best evidence available. The objective of this study was to demonstrate a practical procedure and model that clinicians can use to apply the results of well-conducted studies to patient care by critically appraising the evidence with checklists and letter grade scales. To demonstrate application of this model for critically appraising the quality of research evidence, a hypothetical case involving an adult male with chronic periodontitis is used as an example. To determine the best clinical approach for this patient, a four-step, evidence-based model is demonstrated, consisting of the following: definition of a research question using the PICO format, search and selection of relevant literature, critical appraisal of identified research reports using checklists, and the application of evidence. In this model, the quality of research evidence was assessed quantitatively based on different levels of quality that are assigned letter grades of A, B, and C by evaluating the studies against the QUOROM (Quality of Reporting Meta-Analyses) and CONSORT (Consolidated Standards of Reporting Trials) checklists in a tabular format. For this hypothetical periodontics case, application of the model identified the best available evidence for clinical decision making, i.e., one randomized controlled trial and one systematic review of randomized controlled trials. Both studies showed similar answers for the research question. The use of a letter grade scale allowed an objective analysis of the quality of evidence. A checklist-driven model that assesses and applies evidence to dental practice may substantially improve dentists' decision making skill.
ERIC Educational Resources Information Center
Foster, Lisa; LaSota, Robin; Yeide, Martha
2015-01-01
The purpose of this investigation is to report about study identification practices across evidence-based registries and clearinghouses in social policy fields, which serve as a resource for scientific, evidence-based decision-making about practices about desired outcomes in these social policy fields. The information retrieval procedures of the…
Comment: What Constitutes Evidence in Science Education Research?
ERIC Educational Resources Information Center
Roth, Wolff-Michael
2011-01-01
In the wake of an increasing political commitment to evidence-based decision making and evidence-based educational reform that emerged with the No Child Left Behind effort, the question of what counts as evidence has become increasingly important in the field of science education. In current public discussions, academics, politicians, and other…
Marinho, V C; Richards, D; Niederman, R
2001-05-01
Variation in health care, and more particularly in dental care, was recently chronicled in a Readers Digest investigative report. The conclusions of this report are consistent with sound scientific studies conducted in various areas of health care, including dental care, which demonstrate substantial variation in the care provided to patients. This variation in care parallels the certainty with which clinicians and faculty members often articulate strongly held, but very different opinions. Using a case-based dental scenario, we present systematic evidence-based methods for accessing dental health care information, evaluating this information for validity and importance, and using this information to make informed curricular and clinical decisions. We also discuss barriers inhibiting these systematic approaches to evidence-based clinical decision making and methods for effectively promoting behavior change in health care professionals.
Coleman, Brandon G; Johnson, Thomas M; Erley, Kenneth J; Topolski, Richard; Rethman, Michael; Lancaster, Douglas D
2016-10-01
In recent years, evidence-based dentistry has become the ideal for research, academia, and clinical practice. However, barriers to implementation are many, including the complexity of interpreting conflicting evidence as well as difficulties in accessing it. Furthermore, many proponents of evidence-based care seem to assume that good evidence consistently exists and that clinicians can and will objectively evaluate data so as to apply the best evidence to individual patients' needs. The authors argue that these shortcomings may mislead many clinicians and that students should be adequately prepared to cope with some of the more complex issues surrounding evidence-based practice. Cognitive biases and heuristics shape every aspect of our lives, including our professional behavior. This article reviews literature from medicine, psychology, and behavioral economics to explore the barriers to implementing evidence-based dentistry. Internal factors include biases that affect clinical decision making: hindsight bias, optimism bias, survivor bias, and blind-spot bias. External factors include publication bias, corporate bias, and lack of transparency that may skew the available evidence in the peer-reviewed literature. Raising awareness of how these biases exert subtle influence on decision making and patient care can lead to a more nuanced discussion of addressing and overcoming barriers to evidence-based practice.
High-Value Consults: A Curriculum to Promote Point-of-Care, Evidence-Based Recommendations.
Nandiwada, Deepa Rani; Kohli, Amar; McNamara, Megan; Smith, Kenneth J; Zimmer, Shanta; McNeil, Melissa; Spagnoletti, Carla; Rubio, Doris; Berlacher, Kathryn
2017-10-01
In an era when value-based care is paramount, teaching trainees to explicitly communicate the evidence behind recommendations fosters high-value care (HVC) in the consultation process. To implement an HVC consult curriculum highlighting the need for clear consult questions, evidence-based recommendations to improve consult teaching, clinical decision-making, and the educational value of consults. A pilot curriculum was implemented for residents on cardiology consult electives utilizing faculty and fellows as evidence-based medicine (EBM) coaches. The curriculum included an online module, an EBM teaching point template, EBM presentations on rounds, and "coach" feedback on notes. A total of 15 residents and 4 fellows on cardiology consults participated, and 87% (13 of 15) of residents on consults felt the curriculum was educationally valuable. A total of 80% (72 of 90) of residents on general medicine rotations responded to the survey, and 25 of 72 residents (35%) had a consult with the EBM template. General medicine teams felt the EBM teaching points affected clinical decision-making (48%, 12 of 25) and favored dissemination of the curriculum (90%, 72 of 80). Checklist-guided chart review showed a 22% improvement in evidence-based summaries behind recommendations (7 of 36 precurriculum to 70 of 146 charts postcurriculum, P = .015). The HVC consult curriculum during a cardiology elective was perceived by residents to influence clinical decision-making and evidence-based recommendations, and was found to be educationally valuable on both parties in the consult process.
RELATING ACCUMULATOR MODEL PARAMETERS AND NEURAL DYNAMICS
Purcell, Braden A.; Palmeri, Thomas J.
2016-01-01
Accumulator models explain decision-making as an accumulation of evidence to a response threshold. Specific model parameters are associated with specific model mechanisms, such as the time when accumulation begins, the average rate of evidence accumulation, and the threshold. These mechanisms determine both the within-trial dynamics of evidence accumulation and the predicted behavior. Cognitive modelers usually infer what mechanisms vary during decision-making by seeing what parameters vary when a model is fitted to observed behavior. The recent identification of neural activity with evidence accumulation suggests that it may be possible to directly infer what mechanisms vary from an analysis of how neural dynamics vary. However, evidence accumulation is often noisy, and noise complicates the relationship between accumulator dynamics and the underlying mechanisms leading to those dynamics. To understand what kinds of inferences can be made about decision-making mechanisms based on measures of neural dynamics, we measured simulated accumulator model dynamics while systematically varying model parameters. In some cases, decision- making mechanisms can be directly inferred from dynamics, allowing us to distinguish between models that make identical behavioral predictions. In other cases, however, different parameterized mechanisms produce surprisingly similar dynamics, limiting the inferences that can be made based on measuring dynamics alone. Analyzing neural dynamics can provide a powerful tool to resolve model mimicry at the behavioral level, but we caution against drawing inferences based solely on neural analyses. Instead, simultaneous modeling of behavior and neural dynamics provides the most powerful approach to understand decision-making and likely other aspects of cognition and perception. PMID:28392584
Evidence based policy making in the European Union: the role of the scientific community.
Majcen, Špela
2017-03-01
In the times when the acquis of the European Union (EU) has developed so far as to reach a high level of technical complexity, in particular in certain policy fields such as environmental legislation, it is important to look at what kind of information and data policy decisions are based on. This position paper looks at the extent to which evidence-based decision-making process is being considered in the EU institutions when it comes to adopting legislation in the field of environment at the EU level. The paper calls for closer collaboration between scientists and decision-makers in view of ensuring that correct data is understood and taken into consideration when drafting, amending, negotiating and adopting new legal texts at all levels of the EU decision-making process. It concludes that better awareness of the need for such collaboration among the decision-makers as well as the scientific community would benefit the process and quality of the final outcomes (legislation).
Promoting evidence-based practice in pharmacies.
Toklu, Hale Zerrin
2015-01-01
Evidence-based medicine aims to optimize decision-making by using evidence from well-designed and conducted research. The concept of reliable evidence is essential, since the number of electronic information resources is increasing in parallel to the increasing number and type of drugs on the market. The decision-making process is a complex and requires an extensive evaluation as well as the interpretation of the data obtained. Different sources provide different levels of evidence for decision-making. Not all the data have the same value as the evidence. Rational use of medicine requires that the patients receive "medicines appropriate to their clinical needs, in doses that meet their own individual requirements, for an adequate period of time, and at the lowest cost to them and their community." Pharmacists have a crucial role in the health system to maintain the rational use of medicine and provide pharmaceutical care to patients, because they are the drug experts who are academically trained for this purpose. The rational use of the pharmacist's workforce will improve the outcome of pharmacotherapy as well as decreasing the global health costs.
Tools for Implementing an Evidence-Based Approach in Public Health Practice
Jacobs, Julie A.; Jones, Ellen; Gabella, Barbara A.; Spring, Bonnie
2012-01-01
Increasing disease rates, limited funding, and the ever-growing scientific basis for intervention demand the use of proven strategies to improve population health. Public health practitioners must be ready to implement an evidence-based approach in their work to meet health goals and sustain necessary resources. We researched easily accessible and time-efficient tools for implementing an evidence-based public health (EBPH) approach to improve population health. Several tools have been developed to meet EBPH needs, including free online resources in the following topic areas: training and planning tools, US health surveillance, policy tracking and surveillance, systematic reviews and evidence-based guidelines, economic evaluation, and gray literature. Key elements of EBPH are engaging the community in assessment and decision making; using data and information systems systematically; making decisions on the basis of the best available peer-reviewed evidence (both quantitative and qualitative); applying program-planning frameworks (often based in health-behavior theory); conducting sound evaluation; and disseminating what is learned. PMID:22721501
[Ethics, empiricism and uncertainty].
Porz, R; Zimmermann, H; Exadaktylos, A K
2011-01-01
Accidents can lead to difficult boundary situations. Such situations often take place in the emergency units. The medical team thus often and inevitably faces professional uncertainty in their decision-making. It is essential to communicate these uncertainties within the medical team, instead of downplaying or overriding existential hurdles in decision-making. Acknowledging uncertainties might lead to alert and prudent decisions. Thus uncertainty can have ethical value in treatment or withdrawal of treatment. It does not need to be covered in evidence-based arguments, especially as some singular situations of individual tragedies cannot be grasped in terms of evidence-based medicine. © Georg Thieme Verlag KG Stuttgart · New York.
Continuous track paths reveal additive evidence integration in multistep decision making.
Buc Calderon, Cristian; Dewulf, Myrtille; Gevers, Wim; Verguts, Tom
2017-10-03
Multistep decision making pervades daily life, but its underlying mechanisms remain obscure. We distinguish four prominent models of multistep decision making, namely serial stage, hierarchical evidence integration, hierarchical leaky competing accumulation (HLCA), and probabilistic evidence integration (PEI). To empirically disentangle these models, we design a two-step reward-based decision paradigm and implement it in a reaching task experiment. In a first step, participants choose between two potential upcoming choices, each associated with two rewards. In a second step, participants choose between the two rewards selected in the first step. Strikingly, as predicted by the HLCA and PEI models, the first-step decision dynamics were initially biased toward the choice representing the highest sum/mean before being redirected toward the choice representing the maximal reward (i.e., initial dip). Only HLCA and PEI predicted this initial dip, suggesting that first-step decision dynamics depend on additive integration of competing second-step choices. Our data suggest that potential future outcomes are progressively unraveled during multistep decision making.
Jayakumar, Kishore L; Lavenberg, Julia A; Mitchell, Matthew D; Doshi, Jalpa A; Leas, Brian; Goldmann, David R; Williams, Kendal; Brennan, Patrick J; Umscheid, Craig A
2016-03-01
Hospital evidence-based practice centers (EPCs) synthesize and disseminate evidence locally, but their impact on institutional decision making is unclear. To assess the evidence synthesis activities and impact of a hospital EPC serving a large academic healthcare system. Descriptive analysis of the EPC's database of rapid systematic reviews since EPC inception (July 2006-June 2014), and survey of report requestors from the EPC's last 4 fiscal years. Descriptive analyses examined requestor and report characteristics; questionnaire examined report usability, impact, and requestor satisfaction (higher scores on 5-point Likert scales reflected greater agreement). The EPC completed 249 evidence reviews since inception. The most common requestors were clinical departments (29%, n = 72), chief medical officers (19%, n = 47), and purchasing committees (14%, n = 35). The most common technologies reviewed were drugs (24%, n = 60), devices (19%, n = 48), and care processes (12%, n = 31). Mean report completion time was 70 days. Thirty reports (12%) informed computerized decision support interventions. More than half of reports (56%, n = 139) were completed in the last 4 fiscal years for 65 requestors. Of the 64 eligible participants, 46 responded (72%). Requestors were satisfied with the report (mean = 4.4), and agreed it was delivered promptly (mean = 4.4), answered the questions posed (mean = 4.3), and informed their final decision (mean = 4.1). This is the first examination of evidence synthesis activities by a hospital EPC in the United States. Our findings suggest hospital EPCs can efficiently synthesize and disseminate evidence addressing a range of clinical topics for diverse stakeholders, and can influence local decision making. © 2015 Society of Hospital Medicine.
Viyanchi, Amir; Rasekh, Hamid Reza; Rajabzadeh Ghatari, Ali; SafiKhani, Hamid Reza
2015-01-01
Decision-making for medicines to be accepted in Iran's public health insurance reimbursement list is a complex process and involves factors, which should be considered in applying a coverage for medicine costs. These processes and factors are not wholly assessed, while assessment of these factors is an essential need for getting a transparent and evidence-based approach toward medicine reimbursement in Iran. This paper aims to show an evidence-based approach toward medicine selection criteria to inform the medical reimbursement decision makers in Iranian health insurance organizations. To explore an adaptable decision-making framework while incorporating a method called "Borda" in medicine reimbursement assessment, we used the help of an expert group including decision makers and clinical researchers who are also policy makers to appraise the five chief criteria that have three sub criteria (Precision, Interpretability, and Cost). Also software "Math-lab"7, "SPSS" 17 and Excel 2007 were used in this study. "Borda" estimates the amount of perceived values from different criteria and creates a range from one to five while providing a comprehensive measurement of a large spectrum of criteria. Participants reported that the framework provided an efficient approach to systematic consideration in a pragmatic format consisting of many parts to guide decision-makings, including criteria and value (a model with the core of Borda) and evidences (medicine reimbursement based on criteria). The most important criterion for medicine acceptance in health insurance companies, in Iran, is the "life-threatening" factor and "evidence quality" is accounted as the fifth important factor. This pilot study showed the usefulness of incorporating Borda in medicine reimbursement decisions to support a transparent and systematic appraisal of health insurance companies' deeds. Further research is needed to advance Borda-based approaches that are effective on health insurance decision making.
Viyanchi, Amir; Rasekh, Hamid Reza; Rajabzadeh Ghatari, Ali; SafiKhani, Hamid Reza
2015-01-01
Decision-making for medicines to be accepted in Iran’s public health insurance reimbursement list is a complex process and involves factors, which should be considered in applying a coverage for medicine costs. These processes and factors are not wholly assessed, while assessment of these factors is an essential need for getting a transparent and evidence-based approach toward medicine reimbursement in Iran. This paper aims to show an evidence-based approach toward medicine selection criteria to inform the medical reimbursement decision makers in Iranian health insurance organizations. To explore an adaptable decision-making framework while incorporating a method called “Borda” in medicine reimbursement assessment, we used the help of an expert group including decision makers and clinical researchers who are also policy makers to appraise the five chief criteria that have three sub criteria (Precision, Interpretability, and Cost). Also software “Math-lab”7, “SPSS” 17 and Excel 2007 were used in this study. “Borda” estimates the amount of perceived values from different criteria and creates a range from one to five while providing a comprehensive measurement of a large spectrum of criteria. Participants reported that the framework provided an efficient approach to systematic consideration in a pragmatic format consisting of many parts to guide decision-makings, including criteria and value (a model with the core of Borda) and evidences (medicine reimbursement based on criteria). The most important criterion for medicine acceptance in health insurance companies, in Iran, is the "life-threatening" factor and "evidence quality" is accounted as the fifth important factor. This pilot study showed the usefulness of incorporating Borda in medicine reimbursement decisions to support a transparent and systematic appraisal of health insurance companies' deeds. Further research is needed to advance Borda-based approaches that are effective on health insurance decision making. PMID:26664402
Longhurst, Christopher A.; Palma, Jonathan P.; Grisim, Lisa M.; Widen, Eric; Chan, Melanie; Sharek, Paul J.
2013-01-01
Implementation of an electronic medical record (EMR) with computerized physician order entry (CPOE) can provide an important foundation for preventing harm and improving outcomes. Incentivized by the recent economic stimulus initiative, healthcare systems are implementing vendor-based EMR systems at an unprecedented rate. Accumulating evidence suggests that local implementation decisions, rather than the specific EMR product or technology selected, are the primary drivers of the quality improvement performance of these systems. However, limited attention has been paid to effective approaches to EMR implementation. In this case report, we outline the evidence-based approach we used to make EMR implementation decisions in a pragmatic structure intended for replication at other sites. PMID:24771994
The normalization heuristic: an untested hypothesis that may misguide medical decisions.
Aberegg, Scott K; O'Brien, James M
2009-06-01
Medical practice is increasingly informed by the evidence from randomized controlled trials. When such evidence is not available, clinical hypotheses based on pathophysiological reasoning and common sense guide clinical decision making. One commonly utilized general clinical hypothesis is the assumption that normalizing abnormal laboratory values and physiological parameters will lead to improved patient outcomes. We refer to the general use of this clinical hypothesis to guide medical therapeutics as the "normalization heuristic". In this paper, we operationally define this heuristic and discuss its limitations as a rule of thumb for clinical decision making. We review historical and contemporaneous examples of normalization practices as empirical evidence for the normalization heuristic and to highlight its frailty as a guide for clinical decision making.
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.
Informing clinical policy decision-making practices in ambulance services.
Muecke, Sandy; Curac, Nada; Binks, Darryn
2013-12-01
This study aims to identify the processes and frameworks that support an evidence-based approach to clinical policy decision-making practices in ambulance services. This literature review focused on: (i) the setting (pre-hospital); and (ii) the process of evidence translation, for studies published after the year 2000. Searches of Medline, CINAHL and Google were undertaken. Reference lists of eligible publications were searched for relevant articles. A total of 954 articles were identified. Of these, 20 full text articles were assessed for eligibility and seven full text articles met the inclusion criteria. Three provided detailed descriptions of the evidence-based practice processes used to inform ambulance service protocol or guideline development or review. There is little published literature that describes the processes involved, and frameworks required, to inform clinical policy decision making within ambulance services. This review found that processes were iterative and involved collaborations across many internal and external stakeholders. In several jurisdictions, these were coordinated by a dedicated team. Success appears dependent on committed leadership and purposive human and structural resources. Although time consuming, structured processes have been developed in some jurisdictions to assist decision-making processes. Further insight is likely to be obtained from literature published by those from other disciplines. © 2013 The Authors. International Journal of Evidence-Based Healthcare © 2013 The Joanna Briggs Institute.
Robb, Gillian; Reid, Duncan; Arroll, Bruce; Jackson, Rod T; Goodyear-Smith, Felicity
2007-02-16
To summarise evidence and key recommendations for general practitioner diagnosis and management of acute soft-tissue knee injuries, based on the New Zealand guideline. A multidisciplinary team developed the guideline by critically appraising and grading retrieved literature using the Graphic Appraisal Tools for Epidemiology, Clinical decision rules and the Scottish Intercollegiate Guideline Network. Recommendations were derived from resulting evidence tables. For both diagnosis and management there is a paucity of good evidence to support diagnosis and treatment of internal derangements of the knee, hence some aspects of the guideline are guideline team consensus. Good evidence supports the use of the Ottawa Knee rules to guide decisions about the use of X-ray, and the Lachman test in diagnosing anterior cruciate ligament (ACL) tears. Evidence supports inclusion of proprioceptive training in rehabilitation programmes following ACL reconstruction and in people with ACL-deficient knees. There is good evidence that ultrasound is of little benefit, and there is no evidence that physiotherapy be routinely advocated following meniscectomy. This guideline provides an evidence-based framework for diagnosis and management of internal derangements of the knee following acute injury. Moreover, its development highlights significant gaps in the evidence base and identifies priorities for new research.
Parker, Lisa
2017-07-01
Values are an important part of evidence-based decision making for health policy: they guide the type of evidence that is collected, how it is interpreted, and how important the conclusions are considered to be. Experts in breast screening (including clinicians, researchers, consumer advocates and senior administrators) hold differing values in relation to what is important in breast screening policy and practice, and committees may find it difficult to incorporate the complexity and variety of values into policy decisions. The decision making tool provided here is intended to assist with this process. The tool is modified from more general frameworks that are intended to assist with ethical decision making in public health, and informed by data drawn from previous empirical studies on values amongst Australian breast screening experts. It provides a structured format for breast screening committees to consider and discuss the values of themselves and others, suggests relevant topics for further inquiry and highlights areas of need for future research into the values of the public. It enables committees to publicly explain and justify their decisions with reference to values, improving transparency and accountability. It is intended to act alongside practices that seek to accommodate the values of individual women in the informed decision making process for personal decision making about participation in breast screening. Copyright © 2017 Elsevier B.V. All rights reserved.
Bhavnani, Vanita; Clarke, Aileen; Dowie, Jack; Kennedy, Andrew; Pell, Ian
2002-01-01
Abstract Introduction A qualitative pilot evaluation of two different decision interventions for the prophylactic oophorectomy (PO) decision: a Decision Chart and a computerized clinical guidance programme (CGP) was undertaken. The Decision Chart, representing current practice in decision interventions, presents population‐based information. The CGP elicits individual values to allow for quality‐adjusted life years to be calculated and an explicit guidance statement is given. Prophylactic oophorectomy involves removal of the ovaries as an adjunct to hysterectomy to prevent ovarian cancer. The decision is complex because the operation can affect a number of long‐term outcomes including breast cancer, coronary heart disease and osteoporosis. Methods Both interventions were based on the evidence and were administered by a facilitator. The Decision Chart is a file, which progressively reveals information in the form of bar charts. The CGP is a decision‐analysis based program integrating the results from a cluster of Markov cycle trees. The research evidence is incorporated with woman's individual risk factors, values and preferences. A purposive sample of 19 women awaiting hysterectomy used the decision interventions (10 CGP, nine Decision Chart). In‐depth semi‐structured interviews were undertaken. Interviews were transcribed and analysed to derive themes. Results Reactions to the different decision interventions were mixed. Both were seen as clarifying the decision. Some women found some of the tasks difficult (e.g. rating health status). Some were surprised by the ‘individualized’ guidance, which the CGP offered. The Decision Chart provided some with a sense of empowerment, although some found that it provided too much information. Conclusions Women were able to use both decision interventions. Both provided decision clarification. Problems were evident with both interventions, which give useful pointers for future development. These included the possibility for women to see how their individual risks of different outcomes are affected in the Decision Chart and enhanced explanation of the CGP tasks. Future design and evaluation of decision aids, will need to accommodate differences between patients in the desire for amount and type of information and level of involvement in the decision‐making process. PMID:12031056
Decision Making in Periodontics: A Review of Outcome Measures.
ERIC Educational Resources Information Center
Matthews, Debora C.
1994-01-01
The complexity of decision making concerning periodontic treatment is discussed, and it is suggested that patient input concerning risks and benefits is important. Research into this area is recommended so that decisions can be based on empirical evidence, not opinion. (MSE)
2012-01-01
Clinical decision rules are an increasingly common presence in the biomedical literature and represent one strategy of enhancing clinical-decision making with the goal of improving the efficiency and effectiveness of healthcare delivery. In the context of rehabilitation research, clinical decision rules have been predominantly aimed at classifying patients by predicting their treatment response to specific therapies. Traditionally, recommendations for developing clinical decision rules propose a multistep process (derivation, validation, impact analysis) using defined methodology. Research efforts aimed at developing a “diagnosis-based clinical decision rule” have departed from this convention. Recent publications in this line of research have used the modified terminology “diagnosis-based clinical decision guide.” Modifications to terminology and methodology surrounding clinical decision rules can make it more difficult for clinicians to recognize the level of evidence associated with a decision rule and understand how this evidence should be implemented to inform patient care. We provide a brief overview of clinical decision rule development in the context of the rehabilitation literature and two specific papers recently published in Chiropractic and Manual Therapies. PMID:22726639
Evidence-based Sensor Tasking for Space Domain Awareness
NASA Astrophysics Data System (ADS)
Jaunzemis, A.; Holzinger, M.; Jah, M.
2016-09-01
Space Domain Awareness (SDA) is the actionable knowledge required to predict, avoid, deter, operate through, recover from, and/or attribute cause to the loss and/or degradation of space capabilities and services. A main purpose for SDA is to provide decision-making processes with a quantifiable and timely body of evidence of behavior(s) attributable to specific space threats and/or hazards. To fulfill the promise of SDA, it is necessary for decision makers and analysts to pose specific hypotheses that may be supported or refuted by evidence, some of which may only be collected using sensor networks. While Bayesian inference may support some of these decision making needs, it does not adequately capture ambiguity in supporting evidence; i.e., it struggles to rigorously quantify 'known unknowns' for decision makers. Over the past 40 years, evidential reasoning approaches such as Dempster Shafer theory have been developed to address problems with ambiguous bodies of evidence. This paper applies mathematical theories of evidence using Dempster Shafer expert systems to address the following critical issues: 1) How decision makers can pose critical decision criteria as rigorous, testable hypotheses, 2) How to interrogate these hypotheses to reduce ambiguity, and 3) How to task a network of sensors to gather evidence for multiple competing hypotheses. This theory is tested using a simulated sensor tasking scenario balancing search versus track responsibilities.
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.
Tsai, Jung-Mei
2014-12-01
Evidence-based healthcare (EBHC) emphasizes the integration of the best research evidence with patient values, specialist suggestions, and clinical circumstances during the process of clinical decision-making. EBHC is a recognized core competency in modern healthcare. Nursing is a professional discipline of empirical science that thrives in an environment marked by advances in knowledge and technology in medicine as well as in nursing. Clinical nurses must elevate their skills and professional qualifications, provide efficient and quality health services, and promote their proficiency in EBHC. The Institute of Medicine in the United States indicates that evidence-based research results often fail to disseminate efficiently to clinical decision makers. This problem highlights the importance of better promoting the evidence-based healthcare fundamentals and competencies to frontline clinical nurses. This article describes the historical background and present development of evidence-based healthcare from the perspective of modern clinical nursing in light of the importance of evidence-based healthcare in clinical nursing; describes the factors associated with evidence-based healthcare promotion; and suggests strategies and policies that may improve the promotion and application of EBHC in clinical settings. The authors hope that this paper provides a reference for efforts to improve clinical nursing in the realms of EBHC training, promotion, and application.
Multi-alternative decision-making with non-stationary inputs.
Nunes, Luana F; Gurney, Kevin
2016-08-01
One of the most widely implemented models for multi-alternative decision-making is the multihypothesis sequential probability ratio test (MSPRT). It is asymptotically optimal, straightforward to implement, and has found application in modelling biological decision-making. However, the MSPRT is limited in application to discrete ('trial-based'), non-time-varying scenarios. By contrast, real world situations will be continuous and entail stimulus non-stationarity. In these circumstances, decision-making mechanisms (like the MSPRT) which work by accumulating evidence, must be able to discard outdated evidence which becomes progressively irrelevant. To address this issue, we introduce a new decision mechanism by augmenting the MSPRT with a rectangular integration window and a transparent decision boundary. This allows selection and de-selection of options as their evidence changes dynamically. Performance was enhanced by adapting the window size to problem difficulty. Further, we present an alternative windowing method which exponentially decays evidence and does not significantly degrade performance, while greatly reducing the memory resources necessary. The methods presented have proven successful at allowing for the MSPRT algorithm to function in a non-stationary environment.
Eaglstein, William H
2010-10-01
The objectives of this article are to promote a better understanding of a group of biases that influence therapeutic decision making by physicians/dermatologists and to raise the awareness that these biases contribute to a research-practice gap that has an impact on physicians and treatment solutions. The literature included a wide range of peer-reviewed articles dealing with biases in decision making, evidence-based medicine, randomized controlled clinical trials, and the research-practice gap. Bias against new therapies, bias in favor of indirect harm or omission, and bias against change when multiple new choices are offered may unconsciously affect therapeutic decision making. Although there is no comprehensive understanding or theory as to how choices are made by physicians, recognition of certain cognition patterns and their associated biases will help narrow the research-practice gap and optimize decision making regarding therapeutic choices.
Nijhuis, Frouke A P; van Heek, Jolien; Bloem, Bastiaan R; Post, Bart; Faber, Marjan J
2016-07-25
In advanced Parkinson's disease (PD), neurologists and patients face a complex decision for an advanced therapy. When choosing a treatment, the best available evidence should be combined with the professional's expertise and the patient's preferences. The objective of this study was to explore current decision-making in advanced PD. We conducted focus group discussions and individual interviews with patients (N = 20) who had received deep brain stimulation, Levodopa-Carbidopa intestinal gel, or subcutaneous apomorphine infusion, and with their caregivers (N = 16). Furthermore, we conducted semi-structured interviews with neurologists (N = 7) and PD nurse specialists (N = 3) to include the perspectives of all key players in this decision-making process. Data were analyzed by two researchers using a qualitative thematic analysis approach. Four themes representing current experiences with the decision-making process were identified: 1) information and information needs, 2) factors influencing treatment choice and individual decision strategies, 3) decision-making roles, and 4) barriers and facilitators to shared decision-making (SDM). Patient preferences were taken into account, however patients were not always provided with adequate information. The professional's expertise influenced the decision-making process in both positive and negative ways. Although professionals and patients considered SDM essential for the decision of an advanced treatment, they mentioned several barriers for the implementation in current practice. In this study we found several factors explaining why in current practice, evidence-based decision-making in advanced PD is not optimal. An important first step would be to develop objective information on all treatment options.
Pottie, Kevin; Welch, Vivian; Morton, Rachael; Akl, Elie A; Eslava-Schmalbach, Javier H; Katikireddi, Vittal; Singh, Jasvinder; Moja, Lorenzo; Lang, Eddy; Magrini, Nicola; Thabane, Lehana; Stanev, Roger; Matovinovic, Elizabeth; Snellman, Alexandra; Briel, Matthias; Shea, Beverly; Tugwell, Peter; Schunemann, Holger; Guyatt, Gordon; Alonso-Coello, Pablo
2017-10-01
The aim of this paper is to provide detailed guidance on how to incorporate health equity within the GRADE (Grading Recommendations Assessment and Development Evidence) evidence to decision process. We developed this guidance based on the GRADE evidence to decision framework, iteratively reviewing and modifying draft documents, in person discussion of project group members and input from other GRADE members. Considering the impact on health equity may be required, both in general guidelines and guidelines that focus on disadvantaged populations. We suggest two approaches to incorporate equity considerations: (1) assessing the potential impact of interventions on equity and (2) incorporating equity considerations when judging or weighing each of the evidence to decision criteria. We provide guidance and include illustrative examples. Guideline panels should consider the impact of recommendations on health equity with attention to remote and underserviced settings and disadvantaged populations. Guideline panels may wish to incorporate equity judgments across the evidence to decision framework. This is the fourth and final paper in a series about considering equity in the GRADE guideline development process. This series is coming from the GRADE equity subgroup. Copyright © 2017 Elsevier Inc. All rights reserved.
Probst, Marc A; Dayan, Peter S; Raja, Ali S; Slovis, Benjamin H; Yadav, Kabir; Lam, Samuel H; Shapiro, Jason S; Farris, Coreen; Babcock, Charlene I; Griffey, Richard T; Robey, Thomas E; Fortin, Emily M; Johnson, Jamlik O; Chong, Suzanne T; Davenport, Moira; Grigat, Daniel W; Lang, Eddy L
2015-12-01
Researchers have attempted to optimize imaging utilization by describing which clinical variables are more predictive of acute disease and, conversely, what combination of variables can obviate the need for imaging. These results are then used to develop evidence-based clinical pathways, clinical decision instruments, and clinical practice guidelines. Despite the validation of these results in subsequent studies, with some demonstrating improved outcomes, their actual use is often limited. This article outlines a research agenda to promote the dissemination and implementation (also known as knowledge translation) of evidence-based interventions for emergency department (ED) imaging, i.e., clinical pathways, clinical decision instruments, and clinical practice guidelines. We convened a multidisciplinary group of stakeholders and held online and telephone discussions over a 6-month period culminating in an in-person meeting at the 2015 Academic Emergency Medicine consensus conference. We identified the following four overarching research questions: 1) what determinants (barriers and facilitators) influence emergency physicians' use of evidence-based interventions when ordering imaging in the ED; 2) what implementation strategies at the institutional level can improve the use of evidence-based interventions for ED imaging; 3) what interventions at the health care policy level can facilitate the adoption of evidence-based interventions for ED imaging; and 4) how can health information technology, including electronic health records, clinical decision support, and health information exchanges, be used to increase awareness, use, and adherence to evidence-based interventions for ED imaging? Advancing research that addresses these questions will provide valuable information as to how we can use evidence-based interventions to optimize imaging utilization and ultimately improve patient care. © 2015 by the Society for Academic Emergency Medicine.
Predictors for reimbursement of oncology drugs in Belgium between 2002 and 2013.
Pauwels, Kim; Huys, Isabelle; De Nys, Katelijne; Casteels, Minne; Simoens, Steven
2015-01-01
Price setting and reimbursement decisions regarding drugs are competence of individual member states in Europe. These decisions involve important trade-offs between social, ethical, clinical and economic criteria. The aim of this study was to investigate the relative importance of criteria for reimbursement of oncology drugs in Belgium. Reimbursement dossiers on oncology drugs for which reimbursement was applied between 2002 and 2013 were consulted. Multivariate logistic regression was performed. Results showed that clinical evidence and presence of alternative treatments have a significant impact on the reimbursement decisions. Evidence-based medicine still plays a role in Belgian reimbursement decision-making. In order to allow transition towards value-based medicine and avoid spending money on products with limited incremental benefit, therapeutic need at patient level need to be taken into account.
Evidence-Based Practice and Research: A Challenge to the Development of Adapted Physical Activity
ERIC Educational Resources Information Center
Hutzler, Yeshayahu Shayke
2011-01-01
Evidence-based practice (EBP) is a growing movement in the health and educational disciplines that recommends emphasis on research outcomes during decision making in practice. EBP is made possible through evidence based research (EBR), which attempts to synthesize the volume and scientific rigor of intervention effectiveness. With the purpose of…
The Application of Evidence-Based Practice to Nonspeech Oral Motor Treatments
ERIC Educational Resources Information Center
Lass, Norman J.; Pannbacker, Mary
2008-01-01
Purpose: The purpose of this article is to help speech-language pathologists (SLPs) apply the principles of evidence-based practice (EBP) to nonspeech oral motor treatments (NSOMTs) in order to make valid, evidence-based decisions about NSOMTs and thus determine if they are viable treatment approaches for the management of communication disorders.…
ERIC Educational Resources Information Center
Leshowitz, Barry; Okun, Morris
2011-01-01
Research in social cognition laboratories and in simulated legal settings demonstrates that people often do not understand the statistical properties of evidence and are unable to detect scientifically flawed studies. In a mock jury study, we examined the effects of an evidence-based transcript on scepticism towards evidence obtained in flawed…
Evidence-based decision making and asthma in the internet age: the tools of the trade.
Jadad, A R
2002-01-01
At the dawn of the Information Age, the practice of evidence-based decision making (EBDM) is still hindered by many important barriers related to the decision makers, to the evidence per se or to the health system. Some of these barriers, particularly those related to the distillation, dissemination and packaging of research evidence, could be overcome by recent and ongoing developments in portable/wearable computers, internet appliances, multimedia and wireless broadband internet traffic. This article describes specific EBDM-related tools, with emphasis on internet-enabled "how to" books; and tools to improve the quality of reporting research, to formulate questions; to search for evidence; to access journals, systematic reviews and guidelines; to interact with organizations promoting EBDM; and to tailor evidence to individual cases. However, thinking that all barriers to the practice of EBDM could be solved by fancy information technology is naïve. Barriers related to the generation, interpretation, integration and use of the evidence demand more complex and perhaps unfeasible solutions, as overcoming them will require substantial changes in the structure of the health system, in the politics of science and in the way in which humans think and behave.
ERIC Educational Resources Information Center
Gati, Itamar; Asulin-Peretz, Lisa
2011-01-01
A major characteristic of the 21st century with significant implications on career decision making is the growing prevalence of Information and Communication Technologies (ICTs). Challenges involving ICT-based self-assessment and self-help interventions aimed at facilitating career decision making are discussed. Specifically, this article focuses…
Moving to Evidence-Based Professional Practice
ERIC Educational Resources Information Center
Fleischman, Steve
2006-01-01
Schools have recently begun to place increased emphasis on the use of rigorous research evidence in guiding instructional decisions. Turning education into an evidence-based field is easier to advocate than to achieve, particularly in an environment of competing claims about what works. In this article, the author discusses the factors which…
Evidence-Based Medicine: Rhinoplasty.
Lee, Matthew K; Most, Sam P
2015-08-01
Evidence-based medicine has become increasingly prominent in the climate of modern day healthcare. The practice of evidence-based medicine involves the integration of the best available evidence with clinical experience and expertise to help guide clinical decision-making. The essential tenets of evidence-based medicine can be applied to both functional and aesthetic rhinoplasty. Current outcome measures in functional and aesthetic rhinoplasty, including objective, subjective, and clinician-reported measures, is summarized and the current data is reviewed. Copyright © 2015 Elsevier Inc. All rights reserved.
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.
Christie, Janice; Gray, Trish A; Dumville, Jo C; Cullum, Nicky A
2018-01-01
Complex wounds such as leg and foot ulcers are common, resource intensive and have negative impacts on patients' wellbeing. Evidence-based decision-making, substantiated by high quality evidence such as from systematic reviews, is widely advocated for improving patient care and healthcare efficiency. Consequently, we set out to classify and map the extent to which up-to-date systematic reviews containing robust evidence exist for wound care uncertainties prioritised by community-based healthcare professionals. We asked healthcare professionals to prioritise uncertainties based on complex wound care decisions, and then classified 28 uncertainties according to the type and level of decision. For each uncertainty, we searched for relevant systematic reviews. Two independent reviewers screened abstracts and full texts of reviews against the following criteria: meeting an a priori definition of a systematic review, sufficiently addressing the uncertainty, published during or after 2012, and identifying high quality research evidence. The most common uncertainty type was 'interventions' 24/28 (85%); the majority concerned wound level decisions 15/28 (53%) however, service delivery level decisions (10/28) were given highest priority. Overall, we found 162 potentially relevant reviews of which 57 (35%) were not systematic reviews. Of 106 systematic reviews, only 28 were relevant to an uncertainty and 18 of these were published within the preceding five years; none identified high quality research evidence. Despite the growing volume of published primary research, healthcare professionals delivering wound care have important clinical uncertainties which are not addressed by up-to-date systematic reviews containing high certainty evidence. These are high priority topics requiring new research and systematic reviews which are regularly updated. To reduce clinical and research waste, we recommend systematic reviewers and researchers make greater efforts to ensure that research addresses important clinical uncertainties and is of sufficient rigour to inform practice.
Evidence and evidence gaps in therapies of nasal obstruction and rhinosinusitis
Rotter, Nicole
2016-01-01
Therapeutic decisions in otorhinolaryngology are based on clinical experience, surgical skills, and scientific evidence. Recently, evidence-based therapies have gained increased attention and importance due to their potential to improve the individual patient’s treatment and their potential at the same time to reduce treatment costs. In clinical practice, it is almost impossible to stay ahead of the increasing mass of literature and on the other hand critically assess the presented data. A solid scientific and statistical knowledge as well as a significant amount of spare time are required to detect systematic bias and other errors in study designs, also with respect to assessing whether or not a study should be part of an individual therapeutic decision. Meta-analyses, reviews, and clinical guidelines are, therefore, of increasing importance for evidence-based therapy in clinical practice. This review is an update of the availability of external evidence for the treatment of nasal obstruction and rhinosinusitis. It becomes evident that both groups of diseases differ significantly in the availability of external evidence. Furthermore, it becomes obvious that surgical treatment options are normally based on evidence of significantly lower quality than medical treatment options. PMID:28025606
Evidence-based medicine and patient choice: the case of heart failure care.
Sanders, Tom; Harrison, Stephen; Checkland, Kath
2008-04-01
The implementation of evidence-based medicine and policies aimed at increasing user involvement in health care decisions are central planks of contemporary English health policy. Yet they are potentially in conflict. Our aim was to explore how clinicians working in the field of heart failure resolve this conflict. Qualitative semi-structured interviews were carried out with health professionals who were currently caring for patients with heart failure, and observations were conducted at one dedicated heart failure clinic in northern England. While clinicians acknowledged that patients' ideas and preferences should be an important part of treatment decisions, the widespread acceptance of an evidence-based clinical protocol for heart failure among the clinic doctors significantly influenced the content and style of the consultation. Evidence-based medicine was used to buttress professional authority and seemed to provide an additional barrier to the adoption of patient-centred clinical practice.
Clinical data warehousing for evidence based decision making.
Narra, Lekha; Sahama, Tony; Stapleton, Peta
2015-01-01
Large volumes of heterogeneous health data silos pose a big challenge when exploring for information to allow for evidence based decision making and ensuring quality outcomes. In this paper, we present a proof of concept for adopting data warehousing technology to aggregate and analyse disparate health data in order to understand the impact various lifestyle factors on obesity. We present a practical model for data warehousing with detailed explanation which can be adopted similarly for studying various other health issues.
ERIC Educational Resources Information Center
Hilbig, Benjamin E.; Pohl, Rudiger F.
2009-01-01
According to part of the adaptive toolbox notion of decision making known as the recognition heuristic (RH), the decision process in comparative judgments--and its duration--is determined by whether recognition discriminates between objects. By contrast, some recently proposed alternative models predict that choices largely depend on the amount of…
Evidence-based medicine: medical librarians providing evidence at the point of care.
Yaeger, Lauren H; Kelly, Betsy
2014-01-01
Evidence-based medicine is the conscientious, explicit, and judicious use of current best evidence in making decisions about the care of individual patients. .. by best available external clinical evidence we mean clinically relevant research.' Health care reform authorized by the Affordable Care Act is based on the belief that evidence-based practice (EBP) generates cost savings due to the delivery of more effective care.2 Medical librarians, skilled in identifying appropriate resources and working with multiple complex interfaces, can support clinicians' efforts to practice evidence based medicine by providing time and expertise in articulating the clinical question and identifying the best evidence.
Jensen, Jan L; Travers, Andrew H
2017-05-01
Nationally, emphasis on the importance of evidence-based practice (EBP) in emergency medicine and emergency medical services (EMS) has continuously increased. However, meaningful incorporation of effective and sustainable EBP into clinical and administrative decision-making remains a challenge. We propose a vision for EBP in EMS: Canadian EMS clinicians and leaders will understand and use the best available evidence for clinical and administrative decision-making, to improve patient health outcomes, the capability and quality of EMS systems of care, and safety of patients and EMS professionals. This vision can be implemented with the use of a structure, process, system, and outcome taxonomy to identify current barriers to true EBP, to recognize the opportunities that exist, and propose corresponding recommended strategies for local EMS agencies and at the national level. Framing local and national discussions with this approach will be useful for developing a cohesive and collaborative Canadian EBP strategy.
Factors affecting evidence-based decision making in local health departments.
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.
Drug pricing and reimbursement decision making systems in Mongolia.
Dorj, Gereltuya; Sunderland, Bruce; Sanjjav, Tsetsegmaa; Dorj, Gantuya; Gendenragchaa, Byambatsogt
2017-01-01
It is essential to allocate available resources equitably in order to ensure accessibility and affordability of essential medicines, especially in less fortunate nations with limited health funding. Currently, transparent and evidence based research is required to evaluate decision making regarding drug registration, drug pricing and reimbursement processes in Mongolia. To assess the drug reimbursement system and discuss challenges faced by policy-makers and stakeholders. The study has examined Mongolian administrative documents and directives for stakeholders and analysed published statistics. Experts and decision-makers were interviewed about the drug pricing and reimbursement processes in Mongolia. Decisions regarding Mongolian drug registration were based on commonly used criteria of quality, safety, efficacy plus some economic considerations. A total of 11.32 billion Mongolian National Tugrugs (MNT) [5.6 million United States Dollars (USD)] or 12.1% of total health expenditure was spent on patient reimbursement of essential drugs. The highest reimbursed drugs with respect to cost in 2014 were the cardiovascular drug group. Health insurance is compulsory for all citizens; in addition all insured patients have access to reimbursed drugs. However, the decision making process, in particular the level of reimbursement was limited by various barriers, including lack of evidence based data regarding efficacy and comparative cost-effectiveness analysis of drugs and decisions regarding reimbursement. Drug registration, pricing and reimbursement process in Mongolia show an increasing trend of drug registration and reimbursement rates, along with lack of transparency. Limited available data indicate that more evidence-based research studies are required in Mongolia to evaluate and improve the effectiveness of drug pricing and reimbursement policies.
Ardoin, Scott P; Christ, Theodore J; Morena, Laura S; Cormier, Damien C; Klingbeil, David A
2013-02-01
Research and policy have established that data are necessary to guide decisions within education. Many of these decisions are made within problem solving and response to intervention frameworks for service delivery. Curriculum-Based Measurement in Reading (CBM-R) is a widely used data collection procedure within those models of service delivery. Although the evidence for CBM-R as a screening and benchmarking procedure has been summarized multiple times in the literature, there is no comprehensive review of the evidence for its application to monitor and evaluate individual student progress. The purpose of this study was to identify and summarize the psychometric and empirical evidence for CBM-R as it is used to monitor and evaluate student progress. There was an emphasis on the recommended number of data points collected during progress monitoring and interpretive guidelines. The review identified 171 journal articles, chapters, and instructional manuals using online search engines and research databases. Recommendations and evidence from 102 documents that met the study criteria were evaluated and summarized. Results indicate that most decision-making practices are based on expert opinion and that there is very limited psychometric or empirical support for such practices. There is a lack of published evidence to support program evaluation and progress monitoring with CBM-R. More research is required to inform data collection procedures and interpretive guidelines. Copyright © 2012 Society for the Study of School Psychology. Published by Elsevier Ltd. All rights reserved.
Hozo, Iztok; Schell, Michael J; Djulbegovic, Benjamin
2008-07-01
The absolute truth in research is unobtainable, as no evidence or research hypothesis is ever 100% conclusive. Therefore, all data and inferences can in principle be considered as "inconclusive." Scientific inference and decision-making need to take into account errors, which are unavoidable in the research enterprise. The errors can occur at the level of conclusions that aim to discern the truthfulness of research hypothesis based on the accuracy of research evidence and hypothesis, and decisions, the goal of which is to enable optimal decision-making under present and specific circumstances. To optimize the chance of both correct conclusions and correct decisions, the synthesis of all major statistical approaches to clinical research is needed. The integration of these approaches (frequentist, Bayesian, and decision-analytic) can be accomplished through formal risk:benefit (R:B) analysis. This chapter illustrates the rational choice of a research hypothesis using R:B analysis based on decision-theoretic expected utility theory framework and the concept of "acceptable regret" to calculate the threshold probability of the "truth" above which the benefit of accepting a research hypothesis outweighs its risks.
Franken, Margreet; Koopmanschap, Marc; Steenhoek, Adri
2014-01-01
Health technology assessment already informed Dutch policymaking in the early 1980s. Evidence of health economic evaluations is, however, only systematically used in drug reimbursement decision making. Outpatient drugs with an added therapeutic value and expensive specialist drugs require evidence from an economic evaluation. Due to many exemptions, however, the availability of evidence of health economic evaluations remains rather low. Although the Dutch reimbursement agency suggested a cost-effectiveness threshold range depending on the severity of the disease (i.e., €10,000 - 80,000 per Quality Adjusted Life Year), it was never confirmed nor endorsed by the Ministry of Health. It is highly questionable whether health economic evaluations currently play a role in actual Dutch reimbursement decision making. Although the requirements exist in policy procedures, recent cases show that Dutch policymakers experience great difficulties in putting restrictions on reimbursement based on evidence from health economic evaluations. The near future will show whether the need will increase to base decisions on societal value for money, and whether Dutch policymakers show the courage to take health economic evaluations seriously. Copyright © 2014. Published by Elsevier GmbH.
Bayesian Decision Support for Adaptive Lung Treatments
NASA Astrophysics Data System (ADS)
McShan, Daniel; Luo, Yi; Schipper, Matt; TenHaken, Randall
2014-03-01
Purpose: A Bayesian Decision Network will be demonstrated to provide clinical decision support for adaptive lung response-driven treatment management based on evidence that physiologic metrics may correlate better with individual patient response than traditional (population-based) dose and volume-based metrics. Further, there is evidence that information obtained during the course of radiation therapy may further improve response predictions. Methods: Clinical factors were gathered for 58 patients including planned mean lung dose, and the bio-markers IL-8 and TGF-β1 obtained prior to treatment and two weeks into treatment along with complication outcomes for these patients. A Bayesian Decision Network was constructed using Netica 5.0.2 from Norsys linking these clinical factors to obtain a prediction of radiation induced lung disese (RILD) complication. A decision node was added to the network to provide a plan adaption recommendation based on the trade-off between the RILD prediction and complexity of replanning. A utility node provides the weighting cost between the competing factors. Results: The decision node predictions were optimized against the data for the 58 cases. With this decision network solution, one can consider the decision result for a new patient with specific findings to obtain a recommendation to adaptively modify the originally planned treatment course. Conclusions: A Bayesian approach allows handling and propagating probabilistic data in a logical and principled manner. Decision networks provide the further ability to provide utility-based trade-offs, reflecting non-medical but practical cost/benefit analysis. The network demonstrated illustrates the basic concept, but many other factors may affect these decisions and work on building better models are being designed and tested. Acknowledgement: Supported by NIH-P01-CA59827
IBM's Health Analytics and Clinical Decision Support.
Kohn, M S; Sun, J; Knoop, S; Shabo, A; Carmeli, B; Sow, D; Syed-Mahmood, T; Rapp, W
2014-08-15
This survey explores the role of big data and health analytics developed by IBM in supporting the transformation of healthcare by augmenting evidence-based decision-making. Some problems in healthcare and strategies for change are described. It is argued that change requires better decisions, which, in turn, require better use of the many kinds of healthcare information. Analytic resources that address each of the information challenges are described. Examples of the role of each of the resources are given. There are powerful analytic tools that utilize the various kinds of big data in healthcare to help clinicians make more personalized, evidenced-based decisions. Such resources can extract relevant information and provide insights that clinicians can use to make evidence-supported decisions. There are early suggestions that these resources have clinical value. As with all analytic tools, they are limited by the amount and quality of data. Big data is an inevitable part of the future of healthcare. There is a compelling need to manage and use big data to make better decisions to support the transformation of healthcare to the personalized, evidence-supported model of the future. Cognitive computing resources are necessary to manage the challenges in employing big data in healthcare. Such tools have been and are being developed. The analytic resources, themselves, do not drive, but support healthcare transformation.
Sicily statement on evidence-based practice
Dawes, Martin; Summerskill, William; Glasziou, Paul; Cartabellotta, Antonino; Martin, Janet; Hopayian, Kevork; Porzsolt, Franz; Burls, Amanda; Osborne, James
2005-01-01
Background A variety of definitions of evidence-based practice (EBP) exist. However, definitions are in themselves insufficient to explain the underlying processes of EBP and to differentiate between an evidence-based process and evidence-based outcome. There is a need for a clear statement of what Evidence-Based Practice (EBP) means, a description of the skills required to practise in an evidence-based manner and a curriculum that outlines the minimum requirements for training health professionals in EBP. This consensus statement is based on current literature and incorporating the experience of delegates attending the 2003 Conference of Evidence-Based Health Care Teachers and Developers ("Signposting the future of EBHC"). Discussion Evidence-Based Practice has evolved in both scope and definition. Evidence-Based Practice (EBP) requires that decisions about health care are based on the best available, current, valid and relevant evidence. These decisions should be made by those receiving care, informed by the tacit and explicit knowledge of those providing care, within the context of available resources. Health care professionals must be able to gain, assess, apply and integrate new knowledge and have the ability to adapt to changing circumstances throughout their professional life. Curricula to deliver these aptitudes need to be grounded in the five-step model of EBP, and informed by ongoing research. Core assessment tools for each of the steps should continue to be developed, validated, and made freely available. Summary All health care professionals need to understand the principles of EBP, recognise EBP in action, implement evidence-based policies, and have a critical attitude to their own practice and to evidence. Without these skills, professionals and organisations will find it difficult to provide 'best practice'. PMID:15634359
Cortical Components of Reaction-Time during Perceptual Decisions in Humans.
Dmochowski, Jacek P; Norcia, Anthony M
2015-01-01
The mechanisms of perceptual decision-making are frequently studied through measurements of reaction time (RT). Classical sequential-sampling models (SSMs) of decision-making posit RT as the sum of non-overlapping sensory, evidence accumulation, and motor delays. In contrast, recent empirical evidence hints at a continuous-flow paradigm in which multiple motor plans evolve concurrently with the accumulation of sensory evidence. Here we employ a trial-to-trial reliability-based component analysis of encephalographic data acquired during a random-dot motion task to directly image continuous flow in the human brain. We identify three topographically distinct neural sources whose dynamics exhibit contemporaneous ramping to time-of-response, with the rate and duration of ramping discriminating fast and slow responses. Only one of these sources, a parietal component, exhibits dependence on strength-of-evidence. The remaining two components possess topographies consistent with origins in the motor system, and their covariation with RT overlaps in time with the evidence accumulation process. After fitting the behavioral data to a popular SSM, we find that the model decision variable is more closely matched to the combined activity of the three components than to their individual activity. Our results emphasize the role of motor variability in shaping RT distributions on perceptual decision tasks, suggesting that physiologically plausible computational accounts of perceptual decision-making must model the concurrent nature of evidence accumulation and motor planning.
Role of practice-based research networks in comparative effectiveness research.
Hartung, Daniel M; Guise, Jeanne-Marie; Fagnan, Lyle J; Davis, Melinda M; Stange, Kurt C
2012-01-01
Comparative effectiveness research fundamentally reorients how clinical evidence is generated and used with the goal of providing actionable information to decision-makers. To achieve this, it is vital that decision-makers and the research enterprise are engaged from research inception, to evidence generation and translation. Practice-based research networks are affiliated clinicians in diverse communities with the goal of conducting research to improve care. Practice-based research networks have the potential to advance all phases of the comparative effectiveness research cycle. The aim of this paper is to explore current and potential roles of practice-based research networks in conducting comparative effectiveness research.
Role of practice-based research networks in comparative effectiveness research
Hartung, Daniel M; Guise, Jeanne-Marie; Fagnan, Lyle J; Davis, Melinda M; Stange, Kurt C
2012-01-01
Comparative effectiveness research fundamentally reorients how clinical evidence is generated and used with the goal of providing actionable information to decision-makers. To achieve this, it is vital that decision-makers and the research enterprise are engaged from research inception, to evidence generation and translation. Practice-based research networks are affiliated clinicians in diverse communities with the goal of conducting research to improve care. Practice-based research networks have the potential to advance all phases of the comparative effectiveness research cycle. The aim of this paper is to explore current and potential roles of practice-based research networks in conducting comparative effectiveness research. PMID:23105964
Evidence-Based Decision-Making as a Practice-Based Learning Skill: A Pilot Study
ERIC Educational Resources Information Center
Falzer, Paul R.; Garman, Melissa
2012-01-01
Objectives: As physicians are being trained to adapt their practices to the needs and experience of patients, initiatives to standardize care have been gaining momentum. The resulting conflict can be addressed through a practice-based learning and improvement (PBL) program that develops competency in using treatment guidelines as decision aids and…
Newly graduated nurses' use of knowledge sources in clinical decision-making: an ethnographic study.
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.
Clinical and Research Perspectives on Nonspeech Oral Motor Treatments and Evidence-Based Practice
ERIC Educational Resources Information Center
Muttiah, Nimisha; Georges, Katie; Brackenbury, Tim
2011-01-01
Purpose: Evidence-based practice (EBP) involves the incorporation of research evidence, clinical expertise, and client values in clinical decision making. One case in which these factors conflict is the use of nonspeech oral motor treatments (NSOMTs) for children with developmental speech sound disorders. Critical reviews of the research evidence…
Evidence-Based Practice at a Crossroads: The Timely Emergence of Common Elements and Common Factors
ERIC Educational Resources Information Center
Barth, Richard P.; Lee, Bethany R.; Lindsey, Michael A.; Collins, Kathryn S.; Strieder, Frederick; Chorpita, Bruce F.; Becker, Kimberly D.; Sparks, Jacqueline A.
2012-01-01
Social work is increasingly embracing evidence-based practice (EBP) as a decision-making process that incorporates the best available evidence about effective treatments given client values and preferences, in addition to social worker expertise. Yet, social work practitioners have typically encountered challenges with the application of…
Making the Case for Evidence-Based Practice
ERIC Educational Resources Information Center
Bates, Joanne; McClure, Janelle; Spinks, Andy
2010-01-01
Evidence-based practice is the collection, interpretation, and use of data, such as collection statistics or assessment results, that measure the effectiveness of a library media program. In this article, the authors will present various forms of evidence and show that any library media specialist can use data to make informed decisions that…
McDonald, Heather; Charles, Cathy; Gafni, Amiram
2011-01-01
Abstract Context Promoting patient participation in treatment decision making is of increasing interest to researchers, clinicians and policy makers. Decision aids (DAs) are advocated as one way to help achieve this goal. Despite their proliferation, there has been little agreement on criteria or standards for evaluating these tools. To fill this gap, an international collaboration of researchers and others interested in the development, content and quality of DAs have worked over the past several years to develop a checklist and, based on this checklist, an instrument for determining whether any given DA meets a defined set of quality criteria. Objective/Methods In this paper, we offer a framework for assessing the conceptual clarity and evidence base used to support the development of quality criteria/standards for evaluating DAs. We then apply this framework to assess the conceptual clarity and evidence base underlying the International Patient Decision Aids Standards (IPDAS) checklist criteria for one of the checklist domains: how best to present in DAs probability information to patients on treatment benefits and risks. Conclusion We found that some of the central concepts underlying the presenting probabilities domain were not defined. We also found gaps in the empirical evidence and theoretical support for this domain and criteria within this domain. Finally, we offer suggestions for steps that should be undertaken for further development and refinement of quality standards for DAs in the future. PMID:22050440
Ask the right question: a critical step for practicing evidence-based laboratory medicine.
Price, Christopher P; Christenson, Robert H
2013-07-01
The purpose of laboratory medicine is to facilitate better decision making in clinical practice and healthcare delivery. Decision making implies an unresolved issue, problem or unmet need. The most important criterion for any investigation to be of value in clinical practice is that it addresses an unmet need. The different ways in which laboratory investigations are utilized in patient care can be represented in the form of questions. It is important that these questions are articulated to highlight the variables that will impact on the effectiveness of the investigation in the scenario being considered. These variables include the characteristics of the patient (or population) and clinical setting, the nature of the decision and action taken on receipt of the test result and the expected outcome. Asking a question is the first step of the evidence-based laboratory medicine (EBLM) cycle, the other steps being acquiring the evidence, critically appraising the evidence, applying the evidence and auditing use of the evidence. Getting the question right determines the quality of the whole process, thus, defines the quality in practice of laboratory medicine. Whilst the main focus of the EBLM cycle is to provide a strong evidence base for use in clinical practice, it is clear that the five steps are equally applicable in commissioning, delivery and audit (performance management) of services. Asking the right question is crucial to improving the quality of evidence, and practice, in laboratory medicine, and should be used in routine laboratory medicine practice and management throughout healthcare.
28 CFR 541.64 - Decision of the Hearing Administrator.
Code of Federal Regulations, 2014 CFR
2014-07-01
... MANAGEMENT INMATE DISCIPLINE AND SPECIAL HOUSING UNITS Procedures for Handling of HIV Positive Inmates Who... decision is based, along with evidence of the inmate's HIV positive status. (b) The Hearing Administrator...
28 CFR 541.64 - Decision of the Hearing Administrator.
Code of Federal Regulations, 2011 CFR
2011-07-01
... MANAGEMENT INMATE DISCIPLINE AND SPECIAL HOUSING UNITS Procedures for Handling of HIV Positive Inmates Who... decision is based, along with evidence of the inmate's HIV positive status. (b) The Hearing Administrator...
28 CFR 541.64 - Decision of the Hearing Administrator.
Code of Federal Regulations, 2010 CFR
2010-07-01
... MANAGEMENT INMATE DISCIPLINE AND SPECIAL HOUSING UNITS Procedures for Handling of HIV Positive Inmates Who... decision is based, along with evidence of the inmate's HIV positive status. (b) The Hearing Administrator...
28 CFR 541.64 - Decision of the Hearing Administrator.
Code of Federal Regulations, 2012 CFR
2012-07-01
... MANAGEMENT INMATE DISCIPLINE AND SPECIAL HOUSING UNITS Procedures for Handling of HIV Positive Inmates Who... decision is based, along with evidence of the inmate's HIV positive status. (b) The Hearing Administrator...
28 CFR 541.64 - Decision of the Hearing Administrator.
Code of Federal Regulations, 2013 CFR
2013-07-01
... MANAGEMENT INMATE DISCIPLINE AND SPECIAL HOUSING UNITS Procedures for Handling of HIV Positive Inmates Who... decision is based, along with evidence of the inmate's HIV positive status. (b) The Hearing Administrator...
19 CFR 354.14 - Initial decision.
Code of Federal Regulations, 2010 CFR
2010-04-01
... submissions. The initial decision will be based solely on evidence received into the record, and the pleadings... sanctions to impose, the presiding official or the Deputy Under Secretary will consider the nature of the...
42 CFR 423.1092 - Revision of reopened decision.
Code of Federal Regulations, 2012 CFR
2012-10-01
... 42 Public Health 3 2012-10-01 2012-10-01 false Revision of reopened decision. 423.1092 Section 423.1092 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN SERVICES... Civil Money Penalties § 423.1092 Revision of reopened decision. (a) Revision based on new evidence. If a...
van Dongen, Johanna M; Tompa, Emile; Clune, Laurie; Sarnocinska-Hart, Anna; Bongers, Paulien M; van Tulder, Maurits W; van der Beek, Allard J; van Wier, Marieke F
2013-06-03
Continued improvements in occupational health can only be ensured if decisions regarding the implementation and continuation of occupational health and safety interventions (OHS interventions) are based on the best available evidence. To ensure that this is the case, scientific evidence should meet the needs of decision-makers. As a first step in bridging the gap between the economic evaluation literature and daily practice in occupational health, this study aimed to provide insight into the occupational health decision-making process and information needs of decision-makers. An exploratory qualitative study was conducted with a purposeful sample of occupational health decision-makers in the Ontario healthcare sector. Eighteen in-depth interviews were conducted to explore the process by which occupational health decisions are made and the importance given to the financial implications of OHS interventions. Twenty-five structured telephone interviews were conducted to explore the sources of information used during the decision-making process, and decision-makers' knowledge on economic evaluation methods. In-depth interview data were analyzed according to the constant comparative method. For the structured telephone interviews, summary statistics were prepared. The occupational health decision-making process generally consists of three stages: initiation stage, establishing the need for an intervention; pre-implementation stage, developing an intervention and its business case in order to receive senior management approval; and implementation and evaluation stage, implementing and evaluating an intervention. During this process, information on the financial implications of OHS interventions was found to be of great importance, especially the employer's costs and benefits. However, scientific evidence was rarely consulted, sound ex-post program evaluations were hardly ever performed, and there seemed to be a need to advance the economic evaluation skill set of decision-makers. Financial information is particularly important at the front end of implementation decisions, and can be a key deciding factor of whether to go forward with a new OHS intervention. In addition, it appears that current practice in occupational health in the healthcare sector is not solidly grounded in evidence-based decision-making and strategies should be developed to improve this.
2013-01-01
Background Continued improvements in occupational health can only be ensured if decisions regarding the implementation and continuation of occupational health and safety interventions (OHS interventions) are based on the best available evidence. To ensure that this is the case, scientific evidence should meet the needs of decision-makers. As a first step in bridging the gap between the economic evaluation literature and daily practice in occupational health, this study aimed to provide insight into the occupational health decision-making process and information needs of decision-makers. Methods An exploratory qualitative study was conducted with a purposeful sample of occupational health decision-makers in the Ontario healthcare sector. Eighteen in-depth interviews were conducted to explore the process by which occupational health decisions are made and the importance given to the financial implications of OHS interventions. Twenty-five structured telephone interviews were conducted to explore the sources of information used during the decision-making process, and decision-makers’ knowledge on economic evaluation methods. In-depth interview data were analyzed according to the constant comparative method. For the structured telephone interviews, summary statistics were prepared. Results The occupational health decision-making process generally consists of three stages: initiation stage, establishing the need for an intervention; pre-implementation stage, developing an intervention and its business case in order to receive senior management approval; and implementation and evaluation stage, implementing and evaluating an intervention. During this process, information on the financial implications of OHS interventions was found to be of great importance, especially the employer’s costs and benefits. However, scientific evidence was rarely consulted, sound ex-post program evaluations were hardly ever performed, and there seemed to be a need to advance the economic evaluation skill set of decision-makers. Conclusions Financial information is particularly important at the front end of implementation decisions, and can be a key deciding factor of whether to go forward with a new OHS intervention. In addition, it appears that current practice in occupational health in the healthcare sector is not solidly grounded in evidence-based decision-making and strategies should be developed to improve this. PMID:23731570
Summerfield, Christopher; Tsetsos, Konstantinos
2012-01-01
Investigation into the neural and computational bases of decision-making has proceeded in two parallel but distinct streams. Perceptual decision-making (PDM) is concerned with how observers detect, discriminate, and categorize noisy sensory information. Economic decision-making (EDM) explores how options are selected on the basis of their reinforcement history. Traditionally, the sub-fields of PDM and EDM have employed different paradigms, proposed different mechanistic models, explored different brain regions, disagreed about whether decisions approach optimality. Nevertheless, we argue that there is a common framework for understanding decisions made in both tasks, under which an agent has to combine sensory information (what is the stimulus) with value information (what is it worth). We review computational models of the decision process typically used in PDM, based around the idea that decisions involve a serial integration of evidence, and assess their applicability to decisions between good and gambles. Subsequently, we consider the contribution of three key brain regions - the parietal cortex, the basal ganglia, and the orbitofrontal cortex (OFC) - to perceptual and EDM, with a focus on the mechanisms by which sensory and reward information are integrated during choice. We find that although the parietal cortex is often implicated in the integration of sensory evidence, there is evidence for its role in encoding the expected value of a decision. Similarly, although much research has emphasized the role of the striatum and OFC in value-guided choices, they may play an important role in categorization of perceptual information. In conclusion, we consider how findings from the two fields might be brought together, in order to move toward a general framework for understanding decision-making in humans and other primates.
Summerfield, Christopher; Tsetsos, Konstantinos
2012-01-01
Investigation into the neural and computational bases of decision-making has proceeded in two parallel but distinct streams. Perceptual decision-making (PDM) is concerned with how observers detect, discriminate, and categorize noisy sensory information. Economic decision-making (EDM) explores how options are selected on the basis of their reinforcement history. Traditionally, the sub-fields of PDM and EDM have employed different paradigms, proposed different mechanistic models, explored different brain regions, disagreed about whether decisions approach optimality. Nevertheless, we argue that there is a common framework for understanding decisions made in both tasks, under which an agent has to combine sensory information (what is the stimulus) with value information (what is it worth). We review computational models of the decision process typically used in PDM, based around the idea that decisions involve a serial integration of evidence, and assess their applicability to decisions between good and gambles. Subsequently, we consider the contribution of three key brain regions – the parietal cortex, the basal ganglia, and the orbitofrontal cortex (OFC) – to perceptual and EDM, with a focus on the mechanisms by which sensory and reward information are integrated during choice. We find that although the parietal cortex is often implicated in the integration of sensory evidence, there is evidence for its role in encoding the expected value of a decision. Similarly, although much research has emphasized the role of the striatum and OFC in value-guided choices, they may play an important role in categorization of perceptual information. In conclusion, we consider how findings from the two fields might be brought together, in order to move toward a general framework for understanding decision-making in humans and other primates. PMID:22654730
2011-01-01
Background A real-time clinical decision support system (RTCDSS) with interactive diagrams enables clinicians to instantly and efficiently track patients' clinical records (PCRs) and improve their quality of clinical care. We propose a RTCDSS to process online clinical informatics from multiple databases for clinical decision making in the treatment of prostate cancer based on Web Model-View-Controller (MVC) architecture, by which the system can easily be adapted to different diseases and applications. Methods We designed a framework upon the Web MVC-based architecture in which the reusable and extractable models can be conveniently adapted to other hospital information systems and which allows for efficient database integration. Then, we determined the clinical variables of the prostate cancer treatment based on participating clinicians' opinions and developed a computational model to determine the pretreatment parameters. Furthermore, the components of the RTCDSS integrated PCRs and decision factors for real-time analysis to provide evidence-based diagrams upon the clinician-oriented interface for visualization of treatment guidance and health risk assessment. Results The resulting system can improve quality of clinical treatment by allowing clinicians to concurrently analyze and evaluate the clinical markers of prostate cancer patients with instantaneous clinical data and evidence-based diagrams which can automatically identify pretreatment parameters. Moreover, the proposed RTCDSS can aid interactions between patients and clinicians. Conclusions Our proposed framework supports online clinical informatics, evaluates treatment risks, offers interactive guidance, and provides real-time reference for decision making in the treatment of prostate cancer. The developed clinician-oriented interface can assist clinicians in conveniently presenting evidence-based information to patients and can be readily adapted to an existing hospital information system and be easily applied in other chronic diseases. PMID:21385459
Lin, Hsueh-Chun; Wu, Hsi-Chin; Chang, Chih-Hung; Li, Tsai-Chung; Liang, Wen-Miin; Wang, Jong-Yi Wang
2011-03-08
A real-time clinical decision support system (RTCDSS) with interactive diagrams enables clinicians to instantly and efficiently track patients' clinical records (PCRs) and improve their quality of clinical care. We propose a RTCDSS to process online clinical informatics from multiple databases for clinical decision making in the treatment of prostate cancer based on Web Model-View-Controller (MVC) architecture, by which the system can easily be adapted to different diseases and applications. We designed a framework upon the Web MVC-based architecture in which the reusable and extractable models can be conveniently adapted to other hospital information systems and which allows for efficient database integration. Then, we determined the clinical variables of the prostate cancer treatment based on participating clinicians' opinions and developed a computational model to determine the pretreatment parameters. Furthermore, the components of the RTCDSS integrated PCRs and decision factors for real-time analysis to provide evidence-based diagrams upon the clinician-oriented interface for visualization of treatment guidance and health risk assessment. The resulting system can improve quality of clinical treatment by allowing clinicians to concurrently analyze and evaluate the clinical markers of prostate cancer patients with instantaneous clinical data and evidence-based diagrams which can automatically identify pretreatment parameters. Moreover, the proposed RTCDSS can aid interactions between patients and clinicians. Our proposed framework supports online clinical informatics, evaluates treatment risks, offers interactive guidance, and provides real-time reference for decision making in the treatment of prostate cancer. The developed clinician-oriented interface can assist clinicians in conveniently presenting evidence-based information to patients and can be readily adapted to an existing hospital information system and be easily applied in other chronic diseases.
Moore, Jennifer E; Titler, Marita G; Kane Low, Lisa; Dalton, Vanessa K; Sampselle, Carolyn M
2015-01-01
In response to the passage of the Affordable Care Act in the United States, clinicians and researchers are critically evaluating methods to engage patients in implementing evidence-based care to improve health outcomes. However, most models on implementation only target clinicians or health systems as the adopters of evidence. Patients are largely ignored in these models. A new implementation model that captures the complex but important role of patients in the uptake of evidence may be a critical missing link. Through a process of theory evaluation and development, we explore patient-centered concepts (patient activation and shared decision making) within an implementation model by mapping qualitative data from an elective induction of labor study to assess the model's ability to capture these key concepts. The process demonstrated that a new, patient-centered model for implementation is needed. In response, the Evidence Informed Decision Making through Engagement Model is presented. We conclude that, by fully integrating women into an implementation model, outcomes that are important to both the clinician and patient will improve. In the interest of providing evidence-based care to women during pregnancy and childbirth, it is essential that care is patient centered. The inclusion of concepts discussed in this article has the potential to extend beyond maternity care and influence other clinical areas. Utilizing the newly developed Evidence Informed Decision Making through Engagement Model provides a framework for utilizing evidence and translating it into practice while acknowledging the important role that women have in the process. Published by Elsevier Inc.
Evidence-based decision-making within Australia's pharmaceutical benefits scheme.
Lopert, Ruth
2009-07-01
In Australia, most prescription drugs are subsidized through the Pharmaceutical Benefits Scheme (PBS), one of several government programs in which evidence-based decision making is applied to the funding of health technologies. PBS processes are intended to ensure "value for money" for the Australian taxpayer and to support affordable, equitable access to prescription medicines; they are not intended as a mechanism for cost containment. The inclusion of a drug on the national formulary depends on the recommendation of the Pharmaceutical Benefits Advisory Committee (PBAC), which considers not only the comparative effectiveness but also the comparative cost-effectiveness of drugs proposed for listing. While some decisions have been controversial, the PBS retains strong public support. Moreover, evidence does not suggest that the consideration of cost-effectiveness has created a negative environment for the drug industry: Australia has a high penetration of patented medicines, with prices for some recently approved drugs at U.S. levels.
Harris, Claire; Garrubba, Marie; Allen, Kelly; King, Richard; Kelly, Cate; Thiagarajan, Malar; Castleman, Beverley; Ramsey, Wayne; Farjou, Dina
2015-12-28
This paper reports the process of establishing a transparent, accountable, evidence-based program for introduction of new technologies and clinical practices (TCPs) in a large Australian healthcare network. Many countries have robust evidence-based processes for assessment of new TCPs at national level. However many decisions are made by local health services where the resources and expertise to undertake health technology assessment (HTA) are limited and a lack of structure, process and transparency has been reported. An evidence-based model for process change was used to establish the program. Evidence from research and local data, experience of health service staff and consumer perspectives were incorporated at each of four steps: identifying the need for change, developing a proposal, implementation and evaluation. Checklists assessing characteristics of success, factors for sustainability and barriers and enablers were applied and implementation strategies were based on these findings. Quantitative and qualitative methods were used for process and outcome evaluation. An action research approach underpinned ongoing refinement to systems, processes and resources. A Best Practice Guide developed from the literature and stakeholder consultation identified seven program components: Governance, Decision-Making, Application Process, Monitoring and Reporting, Resources, Administration, and Evaluation and Quality Improvement. The aims of transparency and accountability were achieved. The processes are explicit, decisions published, outcomes recorded and activities reported. The aim of ascertaining rigorous evidence-based information for decision-making was not achieved in all cases. Applicants proposing new TCPs provided the evidence from research literature and local data however the information was often incorrect or inadequate, overestimating benefits and underestimating costs. Due to these limitations the initial application process was replaced by an Expression of Interest from applicants followed by a rigorous HTA by independent in-house experts. The program is generalisable to most health care organisations. With one exception, the components would be achievable with minimal additional resources; the lack of skills and resources required for HTA will limit effective application in many settings. A toolkit containing details of the processes and sample materials is provided to facilitate replication or local adaptation by those wishing to establish a similar program.
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.
2010-01-01
Comparative Effectiveness Research, or other efforts to determine best practices and to develop guidelines based on meta-analysis and evidence - based medicine . An...authoritative reviews or other evidence - based medicine sources, but they have been made unambiguous and computable – a process which sounds...best practice recommendation created through an evidence - based medicine (EBM) development process. The lifecycle envisions four stages of refinement
An exploration of clinical decision making in mental health triage.
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.
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.
Towards evidence-based critical thinking medicine? Uses of best evidence in flawless argumentations.
Jenicek, Milos
2006-08-01
Uses of informal logic and critical thinking methodology are increasingly taught, learnt and advantageously applied in such diverse domains as law, the military, business, and education. Health sciences are also following this trend. However, production and critical appraisal of evidence as already practiced in Evidence-Based Medicine must be coupled with equally rigorous uses in order to ensure appropriate health problem understanding and decision-making. Making most proposals and decisions in medicine is the conclusion of an argumentation process that lies behind any communication between health professionals working with patients, performing research or sharing ideas about health problems, their interpretations and solutions with numerous stakeholders in public life. Modern critical thinking and decision making in medicine is not instantly mastered, but is instead a learnt experience as anything else in professional and social interactions. The modern argument as outlined, illustrated and applied to health problems in this essay is an extension of a previously established way of thinking in Evidence-Based Medicine. Ideally, health professionals, their patients and all other stakeholders should speak the same language and it is up to us to make this possible. Evidence and critical thinking - based medicine might be a solution. As modern critical thinkers, we are at the forefront and we must see to it that patients and professional and general communities benefit from this more so even than from other remarkable historical and current contributions to the well-being of those under our care.
Evidence Accumulator or Decision Threshold – Which Cortical Mechanism are We Observing?
Simen, Patrick
2012-01-01
Most psychological models of perceptual decision making are of the accumulation-to-threshold variety. The neural basis of accumulation in parietal and prefrontal cortex is therefore a topic of great interest in neuroscience. In contrast, threshold mechanisms have received less attention, and their neural basis has usually been sought in subcortical structures. Here I analyze a model of a decision threshold that can be implemented in the same cortical areas as evidence accumulators, and whose behavior bears on two open questions in decision neuroscience: (1) When ramping activity is observed in a brain region during decision making, does it reflect evidence accumulation? (2) Are changes in speed-accuracy tradeoffs and response biases more likely to be achieved by changes in thresholds, or in accumulation rates and starting points? The analysis suggests that task-modulated ramping activity, by itself, is weak evidence that a brain area mediates evidence accumulation as opposed to threshold readout; and that signs of modulated accumulation are as likely to indicate threshold adaptation as adaptation of starting points and accumulation rates. These conclusions imply that how thresholds are modeled can dramatically impact accumulator-based interpretations of this data. PMID:22737136
Use of evidence-based management in healthcare administration decision-making.
Guo, Ruiling; Berkshire, Steven D; Fulton, Lawrence V; Hermanson, Patrick M
2017-07-03
Purpose The purpose of this paper is to examine whether healthcare leaders use evidence-based management (EBMgt) when facing major decisions and what types of evidence healthcare administrators consult during their decision-making. This study also intends to identify any relationship that might exist among adoption of EBMgt in healthcare management, attitudes towards EBMgt, demographic characteristics and organizational characteristics. Design/methodology/approach A cross-sectional study was conducted among US healthcare leaders. Spearman's correlation and logistic regression were performed using the Statistical Package for the Social Sciences (SPSS) 23.0. Findings One hundred and fifty-four healthcare leaders completed the survey. The study results indicated that 90 per cent of the participants self-reported having used an EBMgt approach for decision-making. Professional experiences (87 per cent), organizational data (84 per cent) and stakeholders' values (63 per cent) were the top three types of evidence consulted daily and weekly for decision-making. Case study (75 per cent) and scientific research findings (75 per cent) were the top two types of evidence consulted monthly or less than once a month. An exploratory, stepwise logistic regression model correctly classified 75.3 per cent of all observations for a dichotomous "use of EBMgt" response variable using three independent variables: attitude towards EBMgt, number of employees in the organization and the job position. Spearman's correlation indicated statistically significant relationships between healthcare leaders' use of EBMgt and healthcare organization bed size ( r s = 0.217, n = 152, p < 0.01), attitude towards EBMgt ( r s = 0.517, n = 152, p < 0.01), and the number of organization employees ( r s = 0.195, n = 152, p = 0.016). Originality/value This study generated new research findings on the practice of EBMgt in US healthcare administration decision-making.
Using Data to Advance Learning Outcomes in Schools
ERIC Educational Resources Information Center
VanDerHeyden, Amanda; Harvey, Mark
2013-01-01
This article describes the emergence and influence of evidence-based practice and data-based decision making in educational systems. Increasingly, educators and consumers want to know that resources allocated to educational efforts yield strong effects for all learners. This trend is reflected by the widespread influence of evidence-based practice…
Case Study: The Venous Thromboembolism Collaborative Team at the Johns Hopkins Hospital
2009-05-21
the use of evidence based medicine as well as a Collaborative of medical and administrative staff, the team developed a computer based decision...audits were conducted for some of the high-risk departments to validate adherence to compliance with evidence - based medicine supporting prevention
Cvitanovic, C; McDonald, J; Hobday, A J
2016-12-01
Effective conservation requires knowledge exchange among scientists and decision-makers to enable learning and support evidence-based decision-making. Efforts to improve knowledge exchange have been hindered by a paucity of empirically-grounded guidance to help scientists and practitioners design and implement research programs that actively facilitate knowledge exchange. To address this, we evaluated the Ningaloo Research Program (NRP), which was designed to generate new scientific knowledge to support evidence-based decisions about the management of the Ningaloo Marine Park in north-western Australia. Specifically, we evaluated (1) outcomes of the NRP, including the extent to which new knowledge informed management decisions; (2) the barriers that prevented knowledge exchange among scientists and managers; (3) the key requirements for improving knowledge exchange processes in the future; and (4) the core capacities that are required to support knowledge exchange processes. While the NRP generated expansive and multidisciplinary science outputs directly relevant to the management of the Ningaloo Marine Park, decision-makers are largely unaware of this knowledge and little has been integrated into decision-making processes. A range of barriers prevented efficient and effective knowledge exchange among scientists and decision-makers including cultural differences among the groups, institutional barriers within decision-making agencies, scientific outputs that were not translated for decision-makers and poor alignment between research design and actual knowledge needs. We identify a set of principles to be implemented routinely as part of any applied research program, including; (i) stakeholder mapping prior to the commencement of research programs to identify all stakeholders, (ii) research questions to be co-developed with stakeholders, (iii) implementation of participatory research approaches, (iv) use of a knowledge broker, and (v) tailored knowledge management systems. Finally, we articulate the individual, institutional and financial capacities that must be developed to underpin successful knowledge exchange strategies. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.
McGinn, Thomas G; McCullagh, Lauren; Kannry, Joseph; Knaus, Megan; Sofianou, Anastasia; Wisnivesky, Juan P; Mann, Devin M
2013-09-23
There is consensus that incorporating clinical decision support into electronic health records will improve quality of care, contain costs, and reduce overtreatment, but this potential has yet to be demonstrated in clinical trials. To assess the influence of a customized evidence-based clinical decision support tool on the management of respiratory tract infections and on the effectiveness of integrating evidence at the point of care. In a randomized clinical trial, we implemented 2 well-validated integrated clinical prediction rules, namely, the Walsh rule for streptococcal pharyngitis and the Heckerling rule for pneumonia. INTERVENTIONS AND MAIN OUTCOMES AND MEASURES: The intervention group had access to the integrated clinical prediction rule tool and chose whether to complete risk score calculators, order medications, and generate progress notes to assist with complex decision making at the point of care. The intervention group completed the integrated clinical prediction rule tool in 57.5% of visits. Providers in the intervention group were significantly less likely to order antibiotics than the control group (age-adjusted relative risk, 0.74; 95% CI, 0.60-0.92). The absolute risk of the intervention was 9.2%, and the number needed to treat was 10.8. The intervention group was significantly less likely to order rapid streptococcal tests compared with the control group (relative risk, 0.75; 95% CI, 0.58-0.97; P= .03). The integrated clinical prediction rule process for integrating complex evidence-based clinical decision report tools is of relevant importance for national initiatives, such as Meaningful Use. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01386047.
2016-03-01
Mbah, PhD2*, Ambuj Kumar, MD, MPH3, Kim Sehwan, PhD4*, Ronald Schonwetter, MD5* and Benjamin Djulbegovic, MD, PhD6 1Center for Evidence - Based Medicine , University...of South Florida, Tampa, FL 2USF, Tampa, FL 3University of South Florida, College of Medicine, Center for Evidence Based Medicine , Tampa...4HPC healthcare, Tampa, FL 5HPC Healthcare, Tampa, FL 6Center for Evidence - Based Medicine & Health Outcomes Research, University of South
Implementation science: a role for parallel dual processing models of reasoning?
Sladek, Ruth M; Phillips, Paddy A; Bond, Malcolm J
2006-01-01
Background A better theoretical base for understanding professional behaviour change is needed to support evidence-based changes in medical practice. Traditionally strategies to encourage changes in clinical practices have been guided empirically, without explicit consideration of underlying theoretical rationales for such strategies. This paper considers a theoretical framework for reasoning from within psychology for identifying individual differences in cognitive processing between doctors that could moderate the decision to incorporate new evidence into their clinical decision-making. Discussion Parallel dual processing models of reasoning posit two cognitive modes of information processing that are in constant operation as humans reason. One mode has been described as experiential, fast and heuristic; the other as rational, conscious and rule based. Within such models, the uptake of new research evidence can be represented by the latter mode; it is reflective, explicit and intentional. On the other hand, well practiced clinical judgments can be positioned in the experiential mode, being automatic, reflexive and swift. Research suggests that individual differences between people in both cognitive capacity (e.g., intelligence) and cognitive processing (e.g., thinking styles) influence how both reasoning modes interact. This being so, it is proposed that these same differences between doctors may moderate the uptake of new research evidence. Such dispositional characteristics have largely been ignored in research investigating effective strategies in implementing research evidence. Whilst medical decision-making occurs in a complex social environment with multiple influences and decision makers, it remains true that an individual doctor's judgment still retains a key position in terms of diagnostic and treatment decisions for individual patients. This paper argues therefore, that individual differences between doctors in terms of reasoning are important considerations in any discussion relating to changing clinical practice. Summary It is imperative that change strategies in healthcare consider relevant theoretical frameworks from other disciplines such as psychology. Generic dual processing models of reasoning are proposed as potentially useful in identifying factors within doctors that may moderate their individual uptake of evidence into clinical decision-making. Such factors can then inform strategies to change practice. PMID:16725023
Implementation science: a role for parallel dual processing models of reasoning?
Sladek, Ruth M; Phillips, Paddy A; Bond, Malcolm J
2006-05-25
A better theoretical base for understanding professional behaviour change is needed to support evidence-based changes in medical practice. Traditionally strategies to encourage changes in clinical practices have been guided empirically, without explicit consideration of underlying theoretical rationales for such strategies. This paper considers a theoretical framework for reasoning from within psychology for identifying individual differences in cognitive processing between doctors that could moderate the decision to incorporate new evidence into their clinical decision-making. Parallel dual processing models of reasoning posit two cognitive modes of information processing that are in constant operation as humans reason. One mode has been described as experiential, fast and heuristic; the other as rational, conscious and rule based. Within such models, the uptake of new research evidence can be represented by the latter mode; it is reflective, explicit and intentional. On the other hand, well practiced clinical judgments can be positioned in the experiential mode, being automatic, reflexive and swift. Research suggests that individual differences between people in both cognitive capacity (e.g., intelligence) and cognitive processing (e.g., thinking styles) influence how both reasoning modes interact. This being so, it is proposed that these same differences between doctors may moderate the uptake of new research evidence. Such dispositional characteristics have largely been ignored in research investigating effective strategies in implementing research evidence. Whilst medical decision-making occurs in a complex social environment with multiple influences and decision makers, it remains true that an individual doctor's judgment still retains a key position in terms of diagnostic and treatment decisions for individual patients. This paper argues therefore, that individual differences between doctors in terms of reasoning are important considerations in any discussion relating to changing clinical practice. It is imperative that change strategies in healthcare consider relevant theoretical frameworks from other disciplines such as psychology. Generic dual processing models of reasoning are proposed as potentially useful in identifying factors within doctors that may moderate their individual uptake of evidence into clinical decision-making. Such factors can then inform strategies to change practice.
77 FR 49024 - Sai Wentum, M.D.; Decision and Order
Federal Register 2010, 2011, 2012, 2013, 2014
2012-08-15
... in lieu of a hearing and issue this Decision and Final Order based on relevant evidence contained in..., the Show Cause Order alleged that Registrant is currently unlicensed to practice medicine and without...
Kimber, Melissa; Couturier, Jennifer; Jack, Susan; Niccols, Alison; Van Blyderveen, Sherry; McVey, Gail
2014-01-01
To explore the decision-making processes involved in the uptake and implementation of evidence-based treatments (EBTs), namely, family-based treatment (FBT), among therapists and their administrators within publically funded eating disorder treatment programs in Ontario, Canada. Fundamental qualitative description guided sampling, data collection, and analytic decisions. Forty therapists and 11 administrators belonging to a network of clinicians treating eating disorders completed an in-depth interview regarding the decision-making processes involved in EBT uptake and implementation within their organizations. Content analysis and the constant comparative technique were used to analyze interview transcripts, with 20% of the data independently double-coded by a second coder. Therapists and their administrators identified the importance of an inclusive change culture in evidence-based practice (EBP) decision-making. Each group indicated reluctance to make EBP decisions in isolation from the other. Additionally, participants identified seven stages of decision-making involved in EBT adoption, beginning with exposure to the EBT model and ending with evaluating the impact of the EBT on patient outcomes. Support for a stage-based decision-making process was in participants' indication that the stages were needed to demonstrate that they considered the costs and benefits of making a practice change. Participants indicated that EBTs endorsed by the Provincial Network for Eating Disorders or the Academy for Eating Disorders would more likely be adopted. Future work should focus on integrating the important decision-making processes identified in this study with known implementation models to increase the use of low-cost and effective treatments, such as FBT, within eating disorder treatment programs. Copyright © 2013 Wiley Periodicals, Inc.
Van Herck, Pieter; Annemans, Lieven; Sermeus, Walter; Ramaekers, Dirk
2013-01-01
Context Health care technological evolution through new drugs, implants and other interventions is a key driver of healthcare spending. Policy makers are currently challenged to strengthen the evidence for and cost-effectiveness of reimbursement decisions, while not reducing the capacity for real innovations. This article examines six cases of reimbursement decision making at the national health insurance authority in Belgium, with outcomes that were contested from an evidence-based perspective in scientific or public media. Methods In depth interviews with key stakeholders based on the adapted framework of Davies allowed us to identify the relative impact of clinical and health economic evidence; experience, expertise & judgment; financial impact & resources; values, ideology & political beliefs; habit & tradition; lobbyists & pressure groups; pragmatics & contingencies; media attention; and adoption from other payers & countries. Findings Evidence was not the sole criterion on which reimbursement decisions were based. Across six equivocal cases numerous other criteria were perceived to influence reimbursement policy. These included other considerations that stakeholders deemed crucial in this area, such as taking into account the cost to the patient, and managing crisis scenarios. However, negative impacts were also reported, in the form of bypassing regular procedures unnecessarily, dominance of an opinion leader, using information selectively, and influential conflicts of interest. Conclusions ‘Evidence’ and ‘negotiation’ are both essential inputs of reimbursement policy. Yet, purposely selected equivocal cases in Belgium provide a rich source to learn from and to improve the interaction between both. We formulated policy recommendations to reconcile the impact of all factors identified. A more systematic approach to reimburse new care may be one of many instruments to resolve the budgetary crisis in health care in other countries as well, by separating what is truly innovative and value for money from additional ‘waste’. PMID:24205290
When craft and science collide: Improving therapeutic practices through evidence-based innovations.
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.
Treatment of mastitis in cattle.
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.
McKinney, Mark C; Riley, Jeffrey B
2007-12-01
The incidence of heparin resistance during adult cardiac surgery with cardiopulmonary bypass has been reported at 15%-20%. The consistent use of a clinical decision-making algorithm may increase the consistency of patient care and likely reduce the total required heparin dose and other problems associated with heparin dosing. After a directed survey of practicing perfusionists regarding treatment of heparin resistance and a literature search for high-level evidence regarding the diagnosis and treatment of heparin resistance, an evidence-based decision-making algorithm was constructed. The face validity of the algorithm decisive steps and logic was confirmed by a second survey of practicing perfusionists. The algorithm begins with review of the patient history to identify predictors for heparin resistance. The definition for heparin resistance contained in the algorithm is an activated clotting time < 450 seconds with > 450 IU/kg heparin loading dose. Based on the literature, the treatment for heparin resistance used in the algorithm is anti-thrombin III supplement. The algorithm seems to be valid and is supported by high-level evidence and clinician opinion. The next step is a human randomized clinical trial to test the clinical procedure guideline algorithm vs. current standard clinical practice.
28 CFR 541.6 - Mentally ill inmates.
Code of Federal Regulations, 2014 CFR
2014-07-01
... are mentally ill at any stage of the discipline process, you will be examined by mental health staff... evidence presented by mental health staff. ... Discipline Hearing Officer will make this decision based on evidence, including evidence presented by mental...
28 CFR 541.6 - Mentally ill inmates.
Code of Federal Regulations, 2011 CFR
2011-07-01
... are mentally ill at any stage of the discipline process, you will be examined by mental health staff... evidence presented by mental health staff. ... Discipline Hearing Officer will make this decision based on evidence, including evidence presented by mental...
28 CFR 541.6 - Mentally ill inmates.
Code of Federal Regulations, 2012 CFR
2012-07-01
... are mentally ill at any stage of the discipline process, you will be examined by mental health staff... evidence presented by mental health staff. ... Discipline Hearing Officer will make this decision based on evidence, including evidence presented by mental...
28 CFR 541.6 - Mentally ill inmates.
Code of Federal Regulations, 2013 CFR
2013-07-01
... are mentally ill at any stage of the discipline process, you will be examined by mental health staff... evidence presented by mental health staff. ... Discipline Hearing Officer will make this decision based on evidence, including evidence presented by mental...
Evidence Based Medicine – New Approaches and Challenges
Masic, Izet; Miokovic, Milan; Muhamedagic, Belma
2008-01-01
CONFLICT OF INTEREST: NONE DECLARED Evidence based medicine (EBM) is the conscientious, explicit, judicious and reasonable use of modern, best evidence in making decisions about the care of individual patients. EBM integrates clinical experience and patient values with the best available research information. It is a movement which aims to increase the use of high quality clinical research in clinical decision making. EBM requires new skills of the clinician, including efficient literature-searching, and the application of formal rules of evidence in evaluating the clinical literature. The practice of evidence-based medicine is a process of lifelong, self-directed, problem-based learning in which caring for one’s own patients creates the need for clinically important information about diagnosis, prognosis, therapy and other clinical and health care issues. It is not “cookbook” with recipes, but its good application brings cost-effective and better health care. The key difference between evidence-based medicine and traditional medicine is not that EBM considers the evidence while the latter does not. Both take evidence into account; however, EBM demands better evidence than has traditionally been used. One of the greatest achievements of evidence-based medicine has been the development of systematic reviews and meta-analyses, methods by which researchers identify multiple studies on a topic, separate the best ones and then critically analyze them to come up with a summary of the best available evidence. The EBM-oriented clinicians of tomorrow have three tasks: a) to use evidence summaries in clinical practice; b) to help develop and update selected systematic reviews or evidence-based guidelines in their area of expertise; and c) to enrol patients in studies of treatment, diagnosis and prognosis on which medical practice is based. PMID:24109156
Applying Bayesian belief networks in rapid response situations
DOE Office of Scientific and Technical Information (OSTI.GOV)
Gibson, William L; Deborah, Leishman, A.; Van Eeckhout, Edward
2008-01-01
The authors have developed an enhanced Bayesian analysis tool called the Integrated Knowledge Engine (IKE) for monitoring and surveillance. The enhancements are suited for Rapid Response Situations where decisions must be made based on uncertain and incomplete evidence from many diverse and heterogeneous sources. The enhancements extend the probabilistic results of the traditional Bayesian analysis by (1) better quantifying uncertainty arising from model parameter uncertainty and uncertain evidence, (2) optimizing the collection of evidence to reach conclusions more quickly, and (3) allowing the analyst to determine the influence of the remaining evidence that cannot be obtained in the time allowed.more » These extended features give the analyst and decision maker a better comprehension of the adequacy of the acquired evidence and hence the quality of the hurried decisions. They also describe two example systems where the above features are highlighted.« less
Shared decision making in endocrinology: present and future directions.
Rodriguez-Gutierrez, Rene; Gionfriddo, Michael R; Ospina, Naykky Singh; Maraka, Spyridoula; Tamhane, Shrikant; Montori, Victor M; Brito, Juan P
2016-08-01
In medicine and endocrinology, there are few clinical circumstances in which clinicians can accurately predict what is best for their patients. As a result, patients and clinicians frequently have to make decisions about which there is uncertainty. Uncertainty results from limitations in the research evidence, unclear patient preferences, or an inability to predict how treatments will fit into patients' daily lives. The work that patients and clinicians do together to address the patient's situation and engage in a deliberative dialogue about reasonable treatment options is often called shared decision making. Decision aids are evidence-based tools that facilitate this process. Shared decision making is a patient-centred approach in which clinicians share information about the benefits, harms, and burden of different reasonable diagnostic and treatment options, and patients explain what matters to them in view of their particular values, preferences, and personal context. Beyond the ethical argument in support of this approach, decision aids have been shown to improve patients' knowledge about the available options, accuracy of risk estimates, and decisional comfort. Decision aids also promote patient participation in the decision-making process. Despite accumulating evidence from clinical trials, policy support, and expert recommendations in endocrinology practice guidelines, shared decision making is still not routinely implemented in endocrine practice. Additional work is needed to enrich the number of available tools and to implement them in practice workflows. Also, although the evidence from randomised controlled trials favours the use of this shared decision making in other settings, populations, and illnesses, the effect of this approach has been studied in a few endocrine disorders. Future pragmatic trials are needed to explore the effect and feasibility of shared decision making implementation into routine endocrinology and primary care practice. With the available evidence, however, endocrinologists can now start to practice shared decision making, partner with their patients, and use their expertise to formulate treatment plans that reflect patient preferences and are more likely to fit into the context of patients' lives. In this Personal View, we describe shared decision making, the evidence behind the approach, and why and how both endocrinologists and their patients could benefit from this approach. Copyright © 2016 Elsevier Ltd. All rights reserved.
Instance-based categorization: automatic versus intentional forms of retrieval.
Neal, A; Hesketh, B; Andrews, S
1995-03-01
Two experiments are reported which attempt to disentangle the relative contribution of intentional and automatic forms of retrieval to instance-based categorization. A financial decision-making task was used in which subjects had to decide whether a bank would approve loans for a series of applicants. Experiment 1 found that categorization was sensitive to instance-specific knowledge, even when subjects had practiced using a simple rule. L. L. Jacoby's (1991) process-dissociation procedure was adapted for use in Experiment 2 to infer the relative contribution of intentional and automatic retrieval processes to categorization decisions. The results provided (1) strong evidence that intentional retrieval processes influence categorization, and (2) some preliminary evidence suggesting that automatic retrieval processes may also contribute to categorization decisions.
[In the beginning was a relationship].
Vanbelle, Guido
2008-01-01
Judgment and actions based on scientific evidence are modified by the unique caregiver-patient relationship. Caregivers relying exclusively upon "rational" decisions in line with evidence-based clinical recommendations avoid their relational responsibility. The "noble" purpose illustrates that decisions to treat can be at the same time pointless and valuable. Dia (through) - logue (knowledge) makes it possible to go beyond informed consent, which holds caregivers responsible for providing information and patients for the decision to treat. Finally, where healing is no longer achievable and autonomy dies away, compassion rather than therapeutic tenacity might be the answer. These examples are explained corresponding to the philosophical ideas of respectively Emmanuel Levinas en Roger Burgraeve (noble purpose), Martin Buber (dialogical thinking) and Daniel C. Dennett (autonomy loss).
Parallel constraint satisfaction in memory-based decisions.
Glöckner, Andreas; Hodges, Sara D
2011-01-01
Three studies sought to investigate decision strategies in memory-based decisions and to test the predictions of the parallel constraint satisfaction (PCS) model for decision making (Glöckner & Betsch, 2008). Time pressure was manipulated and the model was compared against simple heuristics (take the best and equal weight) and a weighted additive strategy. From PCS we predicted that fast intuitive decision making is based on compensatory information integration and that decision time increases and confidence decreases with increasing inconsistency in the decision task. In line with these predictions we observed a predominant usage of compensatory strategies under all time-pressure conditions and even with decision times as short as 1.7 s. For a substantial number of participants, choices and decision times were best explained by PCS, but there was also evidence for use of simple heuristics. The time-pressure manipulation did not significantly affect decision strategies. Overall, the results highlight intuitive, automatic processes in decision making and support the idea that human information-processing capabilities are less severely bounded than often assumed.
Science and intuition: do both have a place in clinical decision making?
Pearson, Helen
Intuition is widely used in clinical decision making yet its use is underestimated compared to scientific decision-making methods. Information processing is used within scientific decision making and is methodical and analytical, whereas intuition relies more on a practitioner's perception. Intuition is an unconscious process and may be referred to as a 'sixth sense', 'hunch' or 'gut feeling'. It is not underpinned by valid and reliable measures. Expert health professionals use a rapid, automatic process to recognise familiar problems instantly. Intuition could therefore involve pattern recognition, where experts draw on experiences, so could be perceived as a cognitive skill rather than a perception or knowing without knowing how. The NHS places great importance on evidence-based practice but intuition is seemingly becoming an acceptable way of thinking and knowing in clinical decision making. Recognising nursing as an art allows intuition to be used and the environment or situation to be interpreted to help inform decision making. Intuition can be used in conjunction with evidence-based practice and to achieve good outcomes and deserves to be acknowledged within clinical practice.
Choosing to Decline: Finding Common Ground through the Perspective of Shared Decision Making.
Megregian, Michele; Nieuwenhuijze, Marianne
2018-05-18
Respectful communication is a key component of any clinical relationship. Shared decision making is the process of collaboration that occurs between a health care provider and patient in order to make health care decisions based upon the best available evidence and the individual's preferences. A midwife and woman (and her support persons) engage together to make health care decisions, using respectful communication that is based upon the best available evidence and the woman's preferences, values, and goals. Supporting a woman's autonomy, however, can be particularly challenging in maternity care when recommended treatments or interventions are declined. In the past, the real or perceived increased risk to a woman's health or that of her fetus as a result of that choice has occasionally resulted in coercion. Through the process of shared decision making, the woman's autonomy may be supported, including the choice to decline interventions. The case presented here demonstrates how a shared decision-making framework can support the health care provider-patient relationship in the context of informed refusal. © 2018 by the American College of Nurse-Midwives.
Understanding An Informed Public's Views On The Role Of Evidence In Making Health Care Decisions.
Carman, Kristin L; Maurer, Maureen; Mangrum, Rikki; Yang, Manshu; Ginsburg, Marjorie; Sofaer, Shoshanna; Gold, Marthe R; Pathak-Sen, Ela; Gilmore, Dierdre; Richmond, Jennifer; Siegel, Joanna
2016-04-01
Policy makers and practitioners increasingly believe that medical evidence plays a critical role in improving care and health outcomes and lowering costs. However, public understanding of the role of evidence-based care may be different. Public deliberation is a process that convenes diverse citizens and has them learn about and consider ethical or values-based dilemmas and weigh alternative views. The Community Forum Deliberative Methods Demonstration project, sponsored by the Agency for Healthcare Research and Quality, obtained informed public views on the role of evidence in health care decisions through seventy-six deliberative groups involving 907 people overall, in the period August-November 2012. Although participants perceived evidence as being essential to high-quality care, they also believed that personal choice or clinical judgment could trump evidence. They viewed doctors as central figures in discussing evidence with patients and key arbiters of whether to follow evidence in individual cases. They found evidence of harm to individuals or the community to be more compelling than evidence of effectiveness. These findings indicate that increased public understanding of evidence can play an important role in advancing evidence-based care by helping create policies that better reflect the needs and values of the public. Project HOPE—The People-to-People Health Foundation, Inc.
Interpersonal reactivity and the attribution of emotional reactions.
Haas, Brian W; Anderson, Ian W; Filkowski, Megan M
2015-06-01
The ability to identify the cause of another person's emotional reaction is an important component associated with improved success of social relationships and survival. Although many studies have investigated the mechanisms involved in emotion recognition, very little is currently known regarding the processes involved during emotion attribution decisions. Research on complementary "emotion understanding" mechanisms, including empathy and theory of mind, has demonstrated that emotion understanding decisions are often made through relatively emotion- or cognitive-based processing streams. The current study was designed to investigate the behavioral and brain mechanisms involved in emotion attribution decisions. We predicted that dual processes, emotional and cognitive, are engaged during emotion attribution decisions. Sixteen healthy adults completed the Interpersonal Reactivity Index to characterize individual differences in tendency to make emotion- versus cognitive-based interpersonal decisions. Participants then underwent functional MRI while making emotion attribution decisions. We found neuroimaging evidence that emotion attribution decisions engage a similar brain network as other forms of emotion understanding. Further, we found evidence in support of a dual processes model involved during emotion attribution decisions. Higher scores of personal distress were associated with quicker emotion attribution decisions and increased anterior insula activity. Conversely, higher scores in perspective taking were associated with delayed emotion attribution decisions and increased prefrontal cortex and premotor activity. These findings indicate that the making of emotion attribution decisions relies on dissociable emotional and cognitive processing streams within the brain. (c) 2015 APA, all rights reserved).
Panteli, Dimitra; Eckhardt, Helene; Nolting, Alexandra; Busse, Reinhard; Kulig, Michael
2015-09-25
Coverage decisions determining the benefit baskets of health systems have been increasingly relying on evidence regarding patient benefit and costs. Relevant structures, methodologies, and processes have especially been established for pharmaceuticals but approaches differ. The objective of this work was thus to identify institutions in a broad range of European countries (n = 36) in charge of determining the value of pharmaceuticals for pricing and reimbursement purposes and to map their decision-making process; to examine the different approaches and consider national and supranational possibilities for best practice. Institutions were identified through websites of international networks, ministries, and published literature. Details on institutional practices were supplemented with information from institution websites and linked online sources. The type and extent of information available varied considerably across countries. Different types of public regulatory bodies are involved in pharmaceutical coverage decisions, assuming a range of responsibilities. As a rule, the assessment of scientific evidence is kept structurally separate from its appraisal. Recommendations on value are uniformly issued by specific committees within or commissioned by responsible institutions; these institutions often also act as decision-makers on reimbursement status and level or market price. While effectiveness and costs are important criteria in all countries, the latter are often considered on a case-by-case basis. In all countries, manufacturer applications, including relevant evidence, are used as one of the main sources of information for the assessment. Transparency of evidence-based coverage decisions should be enhanced. International collaboration can facilitate knowledge exchange, improve efficiency of information production, and strengthen new or developing systems.
29 CFR 1910.7 - Definition and requirements for a nationally recognized testing laboratory.
Code of Federal Regulations, 2014 CFR
2014-07-01
... issue a decision as to whether it has been demonstrated, based on a preponderance of the evidence, that... based on the record as to whether it has been demonstrated, based on a preponderance of evidence, that... service listed in paragraph (f)(1) of this section. OSHA calculates the fees based on either the average...
29 CFR 1910.7 - Definition and requirements for a nationally recognized testing laboratory.
Code of Federal Regulations, 2013 CFR
2013-07-01
... issue a decision as to whether it has been demonstrated, based on a preponderance of the evidence, that... based on the record as to whether it has been demonstrated, based on a preponderance of evidence, that... service listed in paragraph (f)(1) of this section. OSHA calculates the fees based on either the average...
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…
Computational mate choice: theory and empirical evidence.
Castellano, Sergio; Cadeddu, Giorgia; Cermelli, Paolo
2012-06-01
The present review is based on the thesis that mate choice results from information-processing mechanisms governed by computational rules and that, to understand how females choose their mates, we should identify which are the sources of information and how they are used to make decisions. We describe mate choice as a three-step computational process and for each step we present theories and review empirical evidence. The first step is a perceptual process. It describes the acquisition of evidence, that is, how females use multiple cues and signals to assign an attractiveness value to prospective mates (the preference function hypothesis). The second step is a decisional process. It describes the construction of the decision variable (DV), which integrates evidence (private information by direct assessment), priors (public information), and value (perceived utility) of prospective mates into a quantity that is used by a decision rule (DR) to produce a choice. We make the assumption that females are optimal Bayesian decision makers and we derive a formal model of DV that can explain the effects of preference functions, mate copying, social context, and females' state and condition on the patterns of mate choice. The third step of mating decision is a deliberative process that depends on the DRs. We identify two main categories of DRs (absolute and comparative rules), and review the normative models of mate sampling tactics associated to them. We highlight the limits of the normative approach and present a class of computational models (sequential-sampling models) that are based on the assumption that DVs accumulate noisy evidence over time until a decision threshold is reached. These models force us to rethink the dichotomy between comparative and absolute decision rules, between discrimination and recognition, and even between rational and irrational choice. Since they have a robust biological basis, we think they may represent a useful theoretical tool for behavioural ecologist interested in integrating proximate and ultimate causes of mate choice. Copyright © 2012 Elsevier B.V. All rights reserved.
[Evidence-based aspects of clinical mastitis treatment].
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.
The option value of delay in health technology assessment.
Eckermann, Simon; Willan, Andrew R
2008-01-01
Processes of health technology assessment (HTA) inform decisions under uncertainty about whether to invest in new technologies based on evidence of incremental effects, incremental cost, and incremental net benefit monetary (INMB). An option value to delaying such decisions to wait for further evidence is suggested in the usual case of interest, in which the prior distribution of INMB is positive but uncertain. of estimating the option value of delaying decisions to invest have previously been developed when investments are irreversible with an uncertain payoff over time and information is assumed fixed. However, in HTA decision uncertainty relates to information (evidence) on the distribution of INMB. This article demonstrates that the option value of delaying decisions to allow collection of further evidence can be estimated as the expected value of sample of information (EVSI). For irreversible decisions, delay and trial (DT) is demonstrated to be preferred to adopt and no trial (AN) when the EVSI exceeds expected costs of information, including expected opportunity costs of not treating patients with the new therapy. For reversible decisions, adopt and trial (AT) becomes a potentially optimal strategy, but costs of reversal are shown to reduce the EVSI of this strategy due to both a lower probability of reversal being optimal and lower payoffs when reversal is optimal. Hence, decision makers are generally shown to face joint research and reimbursement decisions (AN, DT and AT), with the optimal choice dependent on costs of reversal as well as opportunity costs of delay and the distribution of prior INMB.
Scheife, Richard T.; Hines, Lisa E.; Boyce, Richard D.; Chung, Sophie P.; Momper, Jeremiah; Sommer, Christine D.; Abernethy, Darrell R.; Horn, John; Sklar, Stephen J.; Wong, Samantha K.; Jones, Gretchen; Brown, Mary; Grizzle, Amy J.; Comes, Susan; Wilkins, Tricia Lee; Borst, Clarissa; Wittie, Michael A.; Rich, Alissa; Malone, Daniel C.
2015-01-01
Background Healthcare organizations, compendia, and drug knowledgebase vendors use varying methods to evaluate and synthesize evidence on drug-drug interactions (DDIs). This situation has a negative effect on electronic prescribing and medication information systems that warn clinicians of potentially harmful medication combinations. Objective To provide recommendations for systematic evaluation of evidence from the scientific literature, drug product labeling, and regulatory documents with respect to DDIs for clinical decision support. Methods A conference series was conducted to develop a structured process to improve the quality of DDI alerting systems. Three expert workgroups were assembled to address the goals of the conference. The Evidence Workgroup consisted of 15 individuals with expertise in pharmacology, drug information, biomedical informatics, and clinical decision support. Workgroup members met via webinar from January 2013 to February 2014. Two in-person meetings were conducted in May and September 2013 to reach consensus on recommendations. Results We developed expert-consensus answers to three key questions: 1) What is the best approach to evaluate DDI evidence?; 2) What evidence is required for a DDI to be applicable to an entire class of drugs?; and 3) How should a structured evaluation process be vetted and validated? Conclusion Evidence-based decision support for DDIs requires consistent application of transparent and systematic methods to evaluate the evidence. Drug information systems that implement these recommendations should be able to provide higher quality information about DDIs in drug compendia and clinical decision support tools. PMID:25556085
Combining Crowd and Expert Labels using Decision Theoretic Active Learning
2015-10-11
meta-data such as titles, author information and keywords. Motivating Application: Biomedical Systematic Reviews Evidence - based medicine (EBM) aims to...individuals trained in evidence - based medicine ; usually MDs) reading the entire set of citations retrieved via database search to identify the small
Evidence-based dentistry: a clinician's perspective.
Bauer, Janet; Spackman, Sue; Chiappelli, Francesco; Prolo, Paolo; Stevenson, Richard
2006-07-01
Evidence-based dentistry is a discipline that provides best, explicit-based evidence to dentists and their patients in shared decision-making. Currently, dentists are being trained and directed to adopt the role of translational researchers in developing evidence-based dental practices. Practically, evidence-based dentistry is not usable in its current mode for the provision of labor-intensive services that characterize current dental practice. The purpose of this article is to introduce a model of evidence-based dental practice. This model conceptualizes a team approach in explaining problems and solutions to change current dental practice. These changes constitute an evidence-based dental practice that involves the electronic chart, centralized database, knowledge management software, and personnel in optimizing effective oral health care to dental patients.
Current Use of Evidence-Based Medicine in Pediatric Spine Surgery.
Oetgen, Matthew E
2018-04-01
Evidence-based medicine (EBM) is a process of decision-making aimed at making the best clinical decisions as they relate to patients' health. The current use of EBM in pediatric spine surgery is varied, based mainly on the availability of high-quality data. The use of EBM is limited in idiopathic scoliosis, whereas EBM has been used to investigate the treatment of pediatric spondylolysis. Studies on early onset scoliosis are of low quality, making EBM difficult in this condition. Future focus and commitment to study quality in pediatric spinal surgery will likely increase the role of EBM in these conditions. Copyright © 2017 Elsevier Inc. All rights reserved.
Evidence-Based Practice: A Framework for Making Effective Decisions
ERIC Educational Resources Information Center
Spencer, Trina D.; Detrich, Ronnie; Slocum, Timothy A.
2012-01-01
The research to practice gap in education has been a long-standing concern. The enactment of No Child Left Behind brought increased emphasis on the value of using scientifically based instructional practices to improve educational outcomes. It also brought education into the broader evidence-based practice movement that started in medicine and has…
Applying Kane's Validity Framework to a Simulation Based Assessment of Clinical Competence
ERIC Educational Resources Information Center
Tavares, Walter; Brydges, Ryan; Myre, Paul; Prpic, Jason; Turner, Linda; Yelle, Richard; Huiskamp, Maud
2018-01-01
Assessment of clinical competence is complex and inference based. Trustworthy and defensible assessment processes must have favourable evidence of validity, particularly where decisions are considered high stakes. We aimed to organize, collect and interpret validity evidence for a high stakes simulation based assessment strategy for certifying…
Fidelity Assessment to Improve Teacher Instruction and School Decision Making
ERIC Educational Resources Information Center
McKenna, John William; Parenti, Melissa
2017-01-01
Teachers must provide high-quality instruction based on evidence-based practices to provide students meaningful opportunities to learn and to improve school outcomes. Although teachers have access to a variety of resources on evidence-based practices, poor implementation may limit the effectiveness of teacher practices, as indicated by low levels…
Atkins, David
2007-10-01
Randomized controlled trials (RCTs) remain the accepted "gold standard" for determining the efficacy of new drugs or medical procedures. Randomized trials alone, however, cannot provide all the relevant information decision makers need to determine the relative risks and benefits when choosing the best treatment of individual patients or weighing the implications of particular policies affecting medical therapies. To demonstrate the limitations of RCTs in providing the information needed by medical decision makers, and to show how information from observational studies can supplement evidence from RCTs. Qualitative description of the limitations of RCTs in providing the information needed by medical decision makers, and demonstration of how evidence from additional sources can aid in decision making, using the examples of deciding whether a 60-year-old woman with mildly elevated blood pressure should take daily low-dose aspirin, and whether a hospital network should implement carotid artery surgery for asymptomatic patients. Even the most rigorously designed RCTs leave many questions central to medical decision making unanswered. Research using cohort and case-control designs, disease and intervention registries, and outcomes studies based on administrative data can all shed light on who is most likely to benefit from the treatment, and what the important tradeoffs are. This suggests the need to revise the traditional evidence hierarchy, whereby evidence progresses linearly from basic research to rigorous RCTs. This revised hierarchy recognizes that other research designs can provide important evidence to strengthen our understanding of how to apply research findings in practice.
IBM’s Health Analytics and Clinical Decision Support
Sun, J.; Knoop, S.; Shabo, A.; Carmeli, B.; Sow, D.; Syed-Mahmood, T.; Rapp, W.
2014-01-01
Summary Objectives This survey explores the role of big data and health analytics developed by IBM in supporting the transformation of healthcare by augmenting evidence-based decision-making. Methods Some problems in healthcare and strategies for change are described. It is argued that change requires better decisions, which, in turn, require better use of the many kinds of healthcare information. Analytic resources that address each of the information challenges are described. Examples of the role of each of the resources are given. Results There are powerful analytic tools that utilize the various kinds of big data in healthcare to help clinicians make more personalized, evidenced-based decisions. Such resources can extract relevant information and provide insights that clinicians can use to make evidence-supported decisions. There are early suggestions that these resources have clinical value. As with all analytic tools, they are limited by the amount and quality of data. Conclusion Big data is an inevitable part of the future of healthcare. There is a compelling need to manage and use big data to make better decisions to support the transformation of healthcare to the personalized, evidence-supported model of the future. Cognitive computing resources are necessary to manage the challenges in employing big data in healthcare. Such tools have been and are being developed. The analytic resources, themselves, do not drive, but support healthcare transformation. PMID:25123736
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.
Reliable binary cell-fate decisions based on oscillations
NASA Astrophysics Data System (ADS)
Pfeuty, B.; Kaneko, K.
2014-02-01
Biological systems have often to perform binary decisions under highly dynamic and noisy environments, such as during cell-fate determination. These decisions can be implemented by two main bifurcation mechanisms based on the transitions from either monostability or oscillation to bistability. We compare these two mechanisms by using stochastic models with time-varying fields and by establishing asymptotic formulas for the choice probabilities. Different scaling laws for decision sensitivity with respect to noise strength and signal timescale are obtained, supporting a role for oscillatory dynamics in performing noise-robust and temporally tunable binary decision-making. This result provides a rationale for recent experimental evidences showing that oscillatory expression of proteins often precedes binary cell-fate decisions.
Strategic analytics: towards fully embedding evidence in healthcare decision-making.
Garay, Jason; Cartagena, Rosario; Esensoy, Ali Vahit; Handa, Kiren; Kane, Eli; Kaw, Neal; Sadat, Somayeh
2015-01-01
Cancer Care Ontario (CCO) has implemented multiple information technology solutions and collected health-system data to support its programs. There is now an opportunity to leverage these data and perform advanced end-to-end analytics that inform decisions around improving health-system performance. In 2014, CCO engaged in an extensive assessment of its current data capacity and capability, with the intent to drive increased use of data for evidence-based decision-making. The breadth and volume of data at CCO uniquely places the organization to contribute to not only system-wide operational reporting, but more advanced modelling of current and future state system management and planning. In 2012, CCO established a strategic analytics practice to assist the agency's programs contextualize and inform key business decisions and to provide support through innovative predictive analytics solutions. This paper describes the organizational structure, services and supporting operations that have enabled progress to date, and discusses the next steps towards the vision of embedding evidence fully into healthcare decision-making. Copyright © 2014 Longwoods Publishing.
Evidence-Based Reform in Education
ERIC Educational Resources Information Center
Slavin, Robert E.
2017-01-01
Education policies should support the use of programs and practices with strong evidence of effectiveness. The Every Student Succeeds Act (ESSA) contains evidence standards and incentives to use programs that meet them. This provides a great opportunity for evidence to play a stronger role in decisions about education programs and practices.…
Opioid Modulation of Value-Based Decision-Making in Healthy Humans.
Eikemo, Marie; Biele, Guido; Willoch, Frode; Thomsen, Lotte; Leknes, Siri
2017-08-01
Modifying behavior to maximize reward is integral to adaptive decision-making. In rodents, the μ-opioid receptor (MOR) system encodes motivation and preference for high-value rewards. Yet it remains unclear whether and how human MORs contribute to value-based decision-making. We reasoned that if the human MOR system modulates value-based choice, this would be reflected by opposite effects of agonist and antagonist drugs. In a double-blind pharmacological cross-over study, 30 healthy men received morphine (10 mg), placebo, and the opioid antagonist naltrexone (50 mg). They completed a two-alternative decision-making task known to induce a considerable bias towards the most frequently rewarded response option. To quantify MOR involvement in this bias, we fitted accuracy and reaction time data with the drift-diffusion model (DDM) of decision-making. The DDM analysis revealed the expected bidirectional drug effects for two decision subprocesses. MOR stimulation with morphine increased the preference for the stimulus with high-reward probability (shift in starting point). Compared to placebo, morphine also increased, and naltrexone reduced, the efficiency of evidence accumulation. Since neither drug affected motor-coordination, speed-accuracy trade-off, or subjective state (indeed participants were still blinded after the third session), we interpret the MOR effects on evidence accumulation efficiency as a consequence of changes in effort exerted in the task. Together, these findings support a role for the human MOR system in value-based choice by tuning decision-making towards high-value rewards across stimulus domains.
Features of Computer-Based Decision Aids: Systematic Review, Thematic Synthesis, and Meta-Analyses.
Syrowatka, Ania; Krömker, Dörthe; Meguerditchian, Ari N; Tamblyn, Robyn
2016-01-26
Patient information and education, such as decision aids, are gradually moving toward online, computer-based environments. Considerable research has been conducted to guide content and presentation of decision aids. However, given the relatively new shift to computer-based support, little attention has been given to how multimedia and interactivity can improve upon paper-based decision aids. The first objective of this review was to summarize published literature into a proposed classification of features that have been integrated into computer-based decision aids. Building on this classification, the second objective was to assess whether integration of specific features was associated with higher-quality decision making. Relevant studies were located by searching MEDLINE, Embase, CINAHL, and CENTRAL databases. The review identified studies that evaluated computer-based decision aids for adults faced with preference-sensitive medical decisions and reported quality of decision-making outcomes. A thematic synthesis was conducted to develop the classification of features. Subsequently, meta-analyses were conducted based on standardized mean differences (SMD) from randomized controlled trials (RCTs) that reported knowledge or decisional conflict. Further subgroup analyses compared pooled SMDs for decision aids that incorporated a specific feature to other computer-based decision aids that did not incorporate the feature, to assess whether specific features improved quality of decision making. Of 3541 unique publications, 58 studies met the target criteria and were included in the thematic synthesis. The synthesis identified six features: content control, tailoring, patient narratives, explicit values clarification, feedback, and social support. A subset of 26 RCTs from the thematic synthesis was used to conduct the meta-analyses. As expected, computer-based decision aids performed better than usual care or alternative aids; however, some features performed better than others. Integration of content control improved quality of decision making (SMD 0.59 vs 0.23 for knowledge; SMD 0.39 vs 0.29 for decisional conflict). In contrast, tailoring reduced quality of decision making (SMD 0.40 vs 0.71 for knowledge; SMD 0.25 vs 0.52 for decisional conflict). Similarly, patient narratives also reduced quality of decision making (SMD 0.43 vs 0.65 for knowledge; SMD 0.17 vs 0.46 for decisional conflict). Results were varied for different types of explicit values clarification, feedback, and social support. Integration of media rich or interactive features into computer-based decision aids can improve quality of preference-sensitive decision making. However, this is an emerging field with limited evidence to guide use. The systematic review and thematic synthesis identified features that have been integrated into available computer-based decision aids, in an effort to facilitate reporting of these features and to promote integration of such features into decision aids. The meta-analyses and associated subgroup analyses provide preliminary evidence to support integration of specific features into future decision aids. Further research can focus on clarifying independent contributions of specific features through experimental designs and refining the designs of features to improve effectiveness.
Hirsch, Oliver; Keller, Heidemarie; Krones, Tanja; Donner-Banzhoff, Norbert
2011-07-07
Decision aids based on the philosophy of shared decision making are designed to help patients make informed choices among diagnostic or treatment options by delivering evidence-based information on options and outcomes. A patient decision aid can be regarded as a complex intervention because it consists of several presumably relevant components. Decision aids have rarely been field tested to assess patients' and physicians' attitudes towards them. It is also unclear what effect decision aids have on the adherence to chosen options. The electronic library of decision aids (arriba-lib) to be used within the clinical encounter has a modular structure and contains evidence-based decision aids for the following topics: cardiovascular prevention, atrial fibrillation, coronary heart disease, oral antidiabetics, conventional and intensified insulin therapy, and unipolar depression. We conducted an evaluation study in which 29 primary care physicians included 192 patients. After the consultation, patients filled in questionnaires and were interviewed via telephone two months later. We used generalised estimation equations to measure associations within patient variables and traditional crosstab analyses. Patients were highly satisfied with arriba-lib and the process of shared decision making. Two-thirds of patients reached in the telephone interview wanted to be counselled again with arriba-lib. There was a high congruence between preferred and perceived decision making. Of those patients reached in the telephone interview, 80.7% said that they implemented the decision, independent of gender and education. Elderly patients were more likely to say that they implemented the decision. Shared decision making with our multi-modular electronic library of decision aids (arriba-lib) was accepted by a high number of patients. It has positive associations to general aspects of decision making in patients. It can be used for patient groups with a wide range of individual characteristics.
Principles of health economic evaluations of lipid-lowering strategies.
Ara, Roberta; Basarir, Hasan; Ward, Sue Elizabeth
2012-08-01
Policy decision-making in cardiovascular disease is increasingly informed by the results generated from decision-analytic models (DAMs). The methodological approaches and assumptions used in these DAMs impact on the results generated and can influence a policy decision based on a cost per quality-adjusted life year (QALY) threshold. Decision makers need to be provided with a clear understanding of the key sources of evidence and how they are used in the DAM to make an informed judgement on the quality and appropriateness of the results generated. Our review identified 12 studies exploring the cost-effectiveness of pharmaceutical lipid-lowering interventions published since January 2010. All studies used Markov models with annual cycles to represent the long-term clinical pathway. Important differences in the model structures and evidence base used within the DAMs were identified. Whereas the reporting standards were reasonably good, there were many instances when reporting of methods could be improved, particularly relating to baseline risk levels, long-term benefit of treatment and health state utility values. There is a scope for improvement in the reporting of evidence and modelling approaches used within DAMs to provide decision makers with a clearer understanding of the quality and validity of the results generated. This would be assisted by fuller publication of models, perhaps through detailed web appendices.
Espinoza, Manuel Antonio; Manca, Andrea; Claxton, Karl; Sculpher, Mark
2018-02-01
Evidence about cost-effectiveness is increasingly being used to inform decisions about the funding of new technologies that are usually implemented as guidelines from centralized decision-making bodies. However, there is also an increasing recognition for the role of patients in determining their preferred treatment option. This paper presents a method to estimate the value of implementing a choice-based decision process using the cost-effectiveness analysis toolbox. This value is estimated for 3 alternative scenarios. First, it compares centralized decisions, based on population average cost-effectiveness, against a decision process based on patient choice. Second, it compares centralized decision based on patients' subgroups versus an individual choice-based decision process. Third, it compares a centralized process based on average cost-effectiveness against a choice-based process where patients choose according to a different measure of outcome to that used by the centralized decision maker. The methods are applied to a case study for the management of acute coronary syndrome. It is concluded that implementing a choice-based process of treatment allocation may be an option in collectively funded health systems. However, its value will depend on the specific health problem and the social values considered relevant to the health system. Copyright © 2017 John Wiley & Sons, Ltd.
The Evidential Basis of Decision Making in Plant Disease Management.
Hughes, Gareth
2017-08-04
The evidential basis for disease management decision making is provided by data relating to risk factors. The decision process involves an assessment of the evidence leading to taking (or refraining from) action on the basis of a prediction. The primary objective of the decision process is to identify-at the time the decision is made-the control action that provides the best predicted end-of-season outcome, calculated in terms of revenue or another appropriate metric. Data relating to disease risk factors may take a variety of forms (e.g., continuous, discrete, categorical) on measurement scales in a variety of units. Log 10 -likelihood ratios provide a principled basis for the accumulation of evidence based on such data and allow predictions to be made via Bayesian updating of prior probabilities.
Walls, Helen; Liverani, Marco; Chheng, Kannarath; Parkhurst, Justin
2017-11-10
Discussions within the health community routinely emphasise the importance of evidence in informing policy formulation and implementation. Much of the support for the evidence-based policy movement draws from concern that policy decisions are often based on inadequate engagement with high-quality evidence. In many such discussions, evidence is treated as differing only in quality, and assumed to improve decisions if it can only be used more. In contrast, political science scholars have described this as an overly simplistic view of the policy-making process, noting that research 'use' can mean a variety of things and relies on nuanced aspects of political systems. An approach more in recognition of how policy-making systems operate in practice can be to consider how institutions and ideas influence which pieces of evidence appear to be relevant for, and are used within, different policy processes. Drawing on in-depth interviews undertaken in 2015-2016 with key health sector stakeholders in Cambodia, we investigate the evidence perceived to be relevant to policy decisions for three contrasting health policy examples, namely tobacco control, HIV/AIDS and performance-based salary incentives. These cases allow us to examine the ways that policy-relevant evidence may differ given the framing of the issue and the broader institutional context in which evidence is considered. The three health issues show few similarities in how pieces of evidence were used in various aspects of policy-making, despite all being discussed within a broad policy environment in which evidence-based policy-making is rhetorically championed. Instead, we find that evidence use can be better understood by mapping how these health policy issues differ in terms of the issue characteristics, and also in terms of the stakeholders structurally established as having a dominant influence for each issue. Both of these have important implications for evidence use. Contrasting concerns of key stakeholders meant that evidence related to differing issues could be understood in terms of how it was relevant to policy. The stakeholders involved, however, could further be seen to possess differing logics about how to go about achieving their various outcomes - logics that could further help explain the differences seen in evidence utilisation. A comparative approach reiterates that evidence is not a uniform concept for which more is obviously better, but rather illustrates how different constructions and pieces of evidence become relevant in relation to the features of specific health policy decisions. An institutional approach that considers the structural position of stakeholders with differing core goals or objectives, as well as their logics related to evidence utilisation, can further help to understand some of the complexities of evidence use in health policy-making.
Risk and Strategic Decision-Making in Developing Evidence-Based Practice Guidelines
ERIC Educational Resources Information Center
Wilczynski, Susan M.
2012-01-01
Evidence-based practice (EBP) represents an important approach to educating and treating individuals diagnosed with disabilities or disorders. Understanding research findings is the cornerstone of EBP. The methodology of systematic reviews, which involves carefully analyzing research findings, can result a practice guideline that recommends…
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...
ERIC Educational Resources Information Center
Carter, Mark; Stephenson, Jennifer; Hopper, Toni
2015-01-01
There has been increasing interest in an evidence-based approach to education in Australia, but relatively little research has provided relevant data on knowledge of the evidence base for instructional practices among teachers preparing to enter the profession. Final year teacher education students (N = 290) in 15 Australian tertiary institutions…
Invited Article: Threats to physician autonomy in a performance-based reimbursement system.
Larriviere, Daniel G; Bernat, James L
2008-06-10
Physician autonomy is currently threatened by the external application of pay for performance standards and required conformity to practice guidelines. This phenomenon is being driven by concerns over the economic viability of increasing per capita health care expenditures without a concomitant rise in favorable health outcomes and by the unjustified marked variations among physicians' practice patterns. Proponents contend that altering the reimbursement system to encourage physicians to make choices based upon the best available evidence would be one way to ensure better outcomes per health care dollar spent. Although physician autonomy is most easily justified when decisions are made by appealing to the best available evidence, incentivizing decision-making risks sacrificing physician autonomy to political and social forces if the limitations of evidence-based medicine are not respected. Any reimbursement system designed to encourage physicians to utilize the best available evidence by providing financial incentives must recognize physicians who try to play to the numbers as well as physicians who refuse to follow the best available evidence if doing so would conflict with good medicine or patient preferences. By designing, promulgating, and updating evidence-based clinical practice guidelines, medical specialty societies can limit threats to physician autonomy while improving medical practice.
Newman, Elana; Kaloupek, Danny
2009-12-01
One element of the design of human research studies is ethically informed decision-making. Key issues include the safety, costs, and benefits of participation. Historically, much of this decision-making was based on opinion rather than formal evidence. Recently, however, investigators in the traumatic stress field have begun to collect data that are relevant to these decisions. In this article, the authors focus on issues emanating from the ethical concepts of autonomy and respect for persons and beneficence and nonmaleficence, and then summarize relevant evidence from studies with trauma-exposed individuals. Discussion addresses implications of this evidence for research practice and policy, and identifies some potentially informative data collections opportunities for future trauma studies.
Evidence-based dental practice: part I. Formulating clinical questions and searching for answers.
Adeyemo, W L; Akinwande, J A; Bamgbose, B O
2007-01-01
Evidence-based dentistry (EBD) is an approach to oral health care that requires the judicious integration of systematic assessments of clinically relevant scientific evidence, relating to the patient's oral and medical condition and history, with the dentist's clinical expertise and the patient's treatment needs and preferences. Evidence-based care is now regarded as the "gold standard" in health care delivery worldwide. EBD involves tracking down the available evidence, assessing its validity and relevance, and then using the "best" evidence to inform decisions regarding care. Although, the concept of evidence-based dentistry is not new, however, anecdotal evidence suggests that the awareness of this concept among Nigerian dental practitioners is low. This first of three articles on evidence-based dental practice discusses the historical background of evidence-based medicine/evidence-based dentistry, how to formulate clear clinical questions and how to track down (search) the available evidence in the literature databases.
Salloch, Sabine; Otte, Ina C; Reinacher-Schick, Anke; Vollmann, Jochen
2018-04-01
The impact of patient preferences in evidence-based medicine is a complex issue which touches on theoretical questions as well as medical practice in the clinical context. The interaction between evidence-based recommendations and value-related patient preferences in clinical practice is, however, highly complex and requires not only medical knowledge but social, psychological and communicative competencies on the side of the physician. The multi-layered process of oncology physicians' clinical decision-making was explored in 14 semi-structured interviews with respect to a first diagnosis of a pancreatic adenocarcinoma. A case vignette was used and the Q method ("card sorting") was applied to analyze the influence of different factors (such as evidence, patient preferences and the role of relatives) on physicians' deliberations. Content analysis (Mayring) was performed. The results show that the participating oncologists consider patient preferences as an important guidance which, however, is limited on certain occasions where the physicians assume a leadership role in decision-making. From the interviewees' perspectives, the preferences of the patients' relatives are likewise of high importance because debilitating oncologic treatments can only be carried out if patients have both social and psychological support. There is a need for an ongoing reflection of the physicians' own values and due consideration of the patients' social role within the context of shared decision-making. Copyright © 2018. Published by Elsevier GmbH.
ERIC Educational Resources Information Center
Darrah, Johanna; O'Donnell, Maureen; Lam, Joyce; Story, Maureen; Wickenheiser, Diane; Xu, Kaishou; Jin, Xiaokun
2013-01-01
Clinical practice frameworks are a valuable component of clinical education, promoting informed clinical decision making based on the best available evidence and/or clinical experience. They encourage standardized intervention approaches and evaluation of practice. Based on an international project to support the development of an enhanced service…
Hole, Grete Oline; Brenna, Sissel Johansson; Graverholt, Birgitte; Ciliska, Donna; Nortvedt, Monica Wammen
2016-02-25
Health care professionals are expected to build decisions upon evidence. This implies decisions based on the best available, current, valid and relevant evidence, informed by clinical expertise and patient values. A multi-professional master's program in evidence-based practice was developed and offered. The aims of this study were to explore how students in this program viewed their ability to apply evidence-based practice and their perceptions of what constitute necessary conditions to implement evidence-based practice in health care organizations, one year after graduation. A qualitative descriptive design was chosen to examine the graduates' experiences. All students in the first two cohorts of the program were invited to participate. Six focus-group interviews, with a total of 21 participants, and a telephone interview of one participant were conducted. The data was analyzed thematically, using the themes from the interview guide as the starting point. The graduates reported that an overall necessary condition for evidence-based practice to occur is the existence of a "readiness for change" both at an individual level and at the organizational level. They described that they gained personal knowledge and skills to be "change-agents" with "self-efficacy, "analytic competence" and "tools" to implement evidence based practice in clinical care. An organizational culture of a "learning organization" was also required, where leaders have an "awareness of evidence- based practice", and see the need for creating "evidence-based networks". One year after graduation the participants saw themselves as "change agents" prepared to improve clinical care within a learning organization. The results of this study provides useful information for facilitating the implementation of EBP both from educational and health care organizational perspectives.
Applying evidence to support ethical decisions: is the placebo really powerless?.
Porzsolt, Franz; Schlotz-Gorton, Nicole; Biller-Andorno, Nikola; Thim, Anke; Meissner, Karin; Roeckl-Wiedmann, Irmgard; Herzberger, Barbara; Ziegler, Renatus; Gaus, Wilhelm; Pöppe, Ernst
2004-01-01
Using placebos in day-to-day practice is an ethical problem. This paper summarises the available epidemiological evidence to support this difficult decision. Based on these data we propose to differentiate between placebo and "knowledge framing". While the use of placebo should be confined to experimental settings in clinical trials, knowledge framing--which is only conceptually different from placebo--is a desired, expected and necessary component of any doctor-patient encounter. Examples from daily practice demonstrate both, the need to investigate the effects of knowledge framing and its impact on ethical, medical, economical and legal decisions.
42 CFR 405.1046 - Notice of an ALJ decision.
Code of Federal Regulations, 2010 CFR
2010-10-01
..., Reconsiderations, and Appeals Under Original Medicare (Part A and Part B) Alj Hearings § 405.1046 Notice of an ALJ decision. (a) General rule. Unless the ALJ dismisses the hearing, the ALJ will issue a written decision... must be based on evidence offered at the hearing or otherwise admitted into the record. The ALJ mails a...
Bridge over troubled waters: A Synthesis Session to connect ...
Lack of access to relevant scientific data has limited decision makers from incorporating scientific information into their management and policy schemes. Yet, there is increasing interest among decision makers and scientists to integrate coastal and marine science into the policy and management process. Strategies designed to build communication between decision makers and scientists can be an effective means to disseminate and/or generate policy relevant scientific information. Here researchers develop, test, and present a workshop model designed to bridge the gap between coastal and marine decision makers and scientists. Researchers identify successful components of such a workshop as well as areas for improvement and recommendations to design and conduct similar workshops in the future. This novel workshop format can be used in other fora to effectively connect decision makers and scientists, and to initiate an iterative process to generate and transfer policy relevant scientific information into evidence-based decisions, an important element in protecting coastal and marine resources. In this paper we develop and present a model for increasing collaboration between scientists and decision makers to promote evidence based decisions. Successes and areas for improvement in the tested model are discussed. This novel workshop model is intended to build and sustain connections, with the ultimate goal of creating better policy and management practices. In a recent
A web-based decision support tool for prognosis simulation in multiple sclerosis.
Veloso, Mário
2014-09-01
A multiplicity of natural history studies of multiple sclerosis provides valuable knowledge of the disease progression but individualized prognosis remains elusive. A few decision support tools that assist the clinician in such task have emerged but have not received proper attention from clinicians and patients. The objective of the current work is to implement a web-based tool, conveying decision relevant prognostic scientific evidence, which will help clinicians discuss prognosis with individual patients. Data were extracted from a set of reference studies, especially those dealing with the natural history of multiple sclerosis. The web-based decision support tool for individualized prognosis simulation was implemented with NetLogo, a program environment suited for the development of complex adaptive systems. Its prototype has been launched online; it enables clinicians to predict both the likelihood of CIS to CDMS conversion, and the long-term prognosis of disability level and SPMS conversion, as well as assess and monitor the effects of treatment. More robust decision support tools, which convey scientific evidence and satisfy the needs of clinical practice by helping clinicians discuss prognosis expectations with individual patients, are required. The web-based simulation model herein introduced proposes to be a step forward toward this purpose. Copyright © 2014 Elsevier B.V. All rights reserved.
Bridging the gap. The separate worlds of evidence-based medicine and patient-centered medicine.
Bensing, J
2000-01-01
Modern medical care is influenced by two paradigms: 'evidence-based medicine' and 'patient-centered medicine'. In the last decade, both paradigms rapidly gained in popularity and are now both supposed to affect the process of clinical decision making during the daily practice of physicians. However, careful analysis shows that they focus on different aspects of medical care and have, in fact, little in common. Evidence-based medicine is a rather young concept that entered the scientific literature in the early 1990s. It has basically a positivistic, biomedical perspective. Its focus is on offering clinicians the best available evidence about the most adequate treatment for their patients, considering medicine merely as a cognitive-rational enterprise. In this approach the uniqueness of patients, their individual needs and preferences, and their emotional status are easily neglected as relevant factors in decision-making. Patient-centered medicine, although not a new phenomenon, has recently attracted renewed attention. It has basically a humanistic, biopsychosocial perspective, combining ethical values on 'the ideal physician', with psychotherapeutic theories on facilitating patients' disclosure of real worries, and negotiation theories on decision making. It puts a strong focus on patient participation in clinical decision making by taking into account the patients' perspective, and tuning medical care to the patients' needs and preferences. However, in this approach the ideological base is better developed than its evidence base. In modern medicine both paradigms are highly relevant, but yet seem to belong to different worlds. The challenge for the near future is to bring these separate worlds together. The aim of this paper is to give an impulse to this integration. Developments within both paradigms can benefit from interchanging ideas and principles from which eventually medical care will benefit. In this process a key role is foreseen for communication and communication research.
Evidence-based medicine: what has happened in the past 50 years?
Mellis, Craig
2015-01-01
Although the phrase 'evidence-based medicine' (EBM) was used for the first time in the medical literature less than 25 years ago, the history of EBM goes back for centuries. What is remarkable is how popular and how globally accepted the EBM movement has become in such a short time. Many famous, past clinicians have played major roles in the disciplines that preceded EBM, particularly 'clinical epidemiology'. It soon became clear to the early EBM champions that 'evidence' was only part of the clinical decision-making process. Consequently, both clinical expertise and the patient's values and preferences were rapidly incorporated into the concept we now know as 'EBM'. The current need for high-quality, easily accessible 'evidence-based summaries' for busy clinicians is now apparent, as traditional EBM requires both considerable time and skill. Consequently, there is a progressive move away from the primary literature (such as randomised controlled trials) to systematic reviews and other 'evidence-based summaries'. The future of EBM will almost certainly involve widespread utilisation of 'clinical (computer)-based decision support systems'. © 2014 The Author. Journal of Paediatrics and Child Health © 2014 Paediatrics and Child Health Division (Royal Australasian College of Physicians).
Asante Antwi, Henry
2016-01-01
Early accounts of the development of modern medicine suggest that the clinical skills, scientific competence, and doctors' judgment were the main impetus for treatment decision, diagnosis, prognosis, therapy assessment, and medical progress. Yet, clinician judgment has its own critics and is sometimes harshly described as notoriously fallacious and an irrational and unfathomable black box with little transparency. With the rise of contemporary medical research, the reputation of clinician judgment has undergone significant reformation in the last century as its fallacious aspects are increasingly emphasized relative to the evidence based options. Within the last decade, however, medical forecasting literature has seen tremendous change and new understanding is emerging on best ways of sharing medical information to complement the evidence based medicine practices. This review revisits and highlights the core debate on clinical judgments and its interrelations with evidence based medicine. It outlines the key empirical results of clinician judgments relative to evidence based models and identifies its key strengths and prospects, the key limitations and conditions for the effective use of clinician judgment, and the extent to which it can be optimized and professionalized for medical use. PMID:27642588
How contextual issues can distort shared decision making.
Gartlehner, Gerald; Matyas, Nina
2016-12-01
Shared decision making in medicine has become a widely promoted approach. The goal is for patients and physicians to reach a mutual, informed decision by taking into consideration scientific evidence, clinical experience, and the patient's personal values or preferences. Shared decision making, however, is not a straightforward process. In practice, it might fall short of what it promises and might even be misused to whitewash monetary motives. In this article, which summarizes a presentation given at the 17 th Annual Conference of the German Network Evidence-based Medicine on March 4 th , 2016 in Cologne, Germany, we discuss three contextual factors that in our opinion can have a tremendous impact on any informed decision making: 1) opinions and convictions of physicians or other clinicians; 2) uncertainty of the evidence regarding benefits and harms; 3) uncertainty of patients about their own values and preferences. But despite barriers and shortcomings, modern medicine currently does not have an alternative to shared decision making. Shared decision making has become a central theme in good quality health care because it has a strong ethical component. Advocates of shared decision making, however, must realize that not all patients prefer to participate in decision making. For those who do, however, we must ensure that shared decisions can be made in a neutral environment as free of biases and conflicts of interest as possible. Copyright © 2016. Published by Elsevier GmbH.
Lurie, Jon D; Spratt, Kevin F; Blood, Emily A; Tosteson, Tor D; Tosteson, Anna N A; Weinstein, James N
2011-08-15
Secondary analysis within a large clinical trial. To evaluate the changes in treatment preference before and after watching a video decision aid as part of an informed consent process. A randomized trial with a similar decision aid in herniated disc patients had shown decreased rate of surgery in the video group, but the effect of the video on expressed preferences is not known. Subjects enrolling in the Spine Patient Outcomes Research Trial (SPORT) with intervertebral disc herniation, spinal stenosis, or degenerative spondylolisthesis at 13 multidisciplinary spine centers across the United States were given an evidence-based videotape decision aid viewed prior to enrollment as part of informed consent. Of the 2505 patients, 86% (n = 2151) watched the video and 14% (n = 354) did not. Watchers shifted their preference more often than nonwatchers (37.9% vs. 20.8%, P < 0.0001) and more often demonstrated a strengthened preference (26.2% vs. 11.1%, P < 0.0001). Among the 806 patients whose preference shifted after watching the video, 55% shifted toward surgery (P = 0.003). Among the 617 who started with no preference, after the video 27% preferred nonoperative care, 22% preferred surgery, and 51% remained uncertain. After watching the evidence-based patient decision aid (video) used in SPORT, patients with specific lumbar spine disorders formed and/or strengthened their treatment preferences in a balanced way that did not appear biased toward or away from surgery.
78 FR 53765 - Agency Information Collection Activities: Proposed Collection; Comment Request
Federal Register 2010, 2011, 2012, 2013, 2014
2013-08-30
... patients, such as evidence-based medicine guidelines, best practice guidelines, and shared decision-making... consider a broad variety of evidence for evaluating the nature and impact of each site's interventions...
Clarke, Aileen; Taylor-Phillips, Sian; Swan, Jacky; Gkeredakis, Emmanouil; Mills, Penny; Powell, John; Nicolini, Davide; Roginski, Claudia; Scarbrough, Harry; Grove, Amy
2013-05-28
To investigate types of evidence used by healthcare commissioners when making decisions and whether decisions were influenced by commissioners' experience, personal characteristics or role at work. Cross-sectional survey of 345 National Health Service (NHS) staff members. The study was conducted across 11 English Primary Care Trusts between 2010 and 2011. A total of 440 staff involved in commissioning decisions and employed at NHS band 7 or above were invited to participate in the study. Of those, 345 (78%) completed all or a part of the survey. Participants were asked to rate how important different sources of evidence (empirical or practical) were in a recent decision that had been made. Backwards stepwise logistic regression analyses were undertaken to assess the contributions of age, gender and professional background, as well as the years of experience in NHS commissioning, pay grade and work role. The extent to which empirical evidence was used for commissioning decisions in the NHS varied according to the professional background. Only 50% of respondents stated that clinical guidelines and cost-effectiveness evidence were important for healthcare decisions. Respondents were more likely to report use of empirical evidence if they worked in Public Health in comparison to other departments (p<0.0005, commissioning and contracts OR 0.32, 95%CI 0.18 to 0.57, finance OR 0.19, 95%CI 0.05 to 0.78, other departments OR 0.35, 95%CI 0.17 to 0.71) or if they were female (OR 1.8 95% CI 1.01 to 3.1) rather than male. Respondents were more likely to report use of practical evidence if they were more senior within the organisation (pay grade 8b or higher OR 2.7, 95%CI 1.4 to 5.3, p=0.004 in comparison to lower pay grades). Those trained in Public Health appeared more likely to use external empirical evidence while those at higher pay scales were more likely to use practical evidence when making commissioning decisions. Clearly, National Institute for Clinical Excellence (NICE) guidance and government publications (eg, National Service Frameworks) are important for decision-making, but practical sources of evidence such as local intelligence, benchmarking data and expert advice are also influential. New Clinical Commissioning Groups will need a variety of different evidence sources and expert involvement to ensure that effective decisions are made for their populations.
Clarke, Aileen; Taylor-Phillips, Sian; Swan, Jacky; Gkeredakis, Emmanouil; Mills, Penny; Powell, John; Nicolini, Davide; Roginski, Claudia; Scarbrough, Harry; Grove, Amy
2013-01-01
Objectives To investigate types of evidence used by healthcare commissioners when making decisions and whether decisions were influenced by commissioners’ experience, personal characteristics or role at work. Design Cross-sectional survey of 345 National Health Service (NHS) staff members. Setting The study was conducted across 11 English Primary Care Trusts between 2010 and 2011. Participants A total of 440 staff involved in commissioning decisions and employed at NHS band 7 or above were invited to participate in the study. Of those, 345 (78%) completed all or a part of the survey. Main outcome measures Participants were asked to rate how important different sources of evidence (empirical or practical) were in a recent decision that had been made. Backwards stepwise logistic regression analyses were undertaken to assess the contributions of age, gender and professional background, as well as the years of experience in NHS commissioning, pay grade and work role. Results The extent to which empirical evidence was used for commissioning decisions in the NHS varied according to the professional background. Only 50% of respondents stated that clinical guidelines and cost-effectiveness evidence were important for healthcare decisions. Respondents were more likely to report use of empirical evidence if they worked in Public Health in comparison to other departments (p<0.0005, commissioning and contracts OR 0.32, 95%CI 0.18 to 0.57, finance OR 0.19, 95%CI 0.05 to 0.78, other departments OR 0.35, 95%CI 0.17 to 0.71) or if they were female (OR 1.8 95% CI 1.01 to 3.1) rather than male. Respondents were more likely to report use of practical evidence if they were more senior within the organisation (pay grade 8b or higher OR 2.7, 95%CI 1.4 to 5.3, p=0.004 in comparison to lower pay grades). Conclusions Those trained in Public Health appeared more likely to use external empirical evidence while those at higher pay scales were more likely to use practical evidence when making commissioning decisions. Clearly, National Institute for Clinical Excellence (NICE) guidance and government publications (eg, National Service Frameworks) are important for decision-making, but practical sources of evidence such as local intelligence, benchmarking data and expert advice are also influential. New Clinical Commissioning Groups will need a variety of different evidence sources and expert involvement to ensure that effective decisions are made for their populations. PMID:23793669
Kiriakou, Juliana; Pandis, Nikolaos; Madianos, Phoebus; Polychronopoulou, Argy
2014-10-30
Decision-making based on reliable evidence is more likely to lead to effective and efficient treatments. Evidence-based dentistry was developed, similarly to evidence-based medicine, to help clinicians apply current and valid research findings into their own clinical practice. Interpreting and appraising the literature is fundamental and involves the development of evidence-based dentistry (EBD) skills. Systematic reviews (SRs) of randomized controlled trials (RCTs) are considered to be evidence of the highest level in evaluating the effectiveness of interventions. Furthermore, the assessment of the report of a RCT, as well as a SR, can lead to an estimation of how the study was designed and conducted.
Zarkovich, Erica; Upshur, R E G
2002-01-01
Evidence-based medicine has been defined as the conscientious and judicious use of current best evidence in making clinical decisions. This paper will attempt to explicate the terms "conscientious" and "judicious" within the evidence-based medicine definition. It will be argued that "conscientious" and "judicious" represent virtue terms derived from virtue ethics and virtue epistemology. The identification of explicit virtue components in the definition and therefore conception of evidence-based medicine presents an important starting point in the connection between virtue theories and medicine itself. In addition, a unification of virtue theories and evidence-based medicine will illustrate the need for future research in order to combine the fields of virtue-based approaches and clinical practice.
Challenging evidence-based decision-making: a hypothetical case study about return to work.
Aas, Randi W; Alexanderson, Kristina
2012-03-01
A hypothetical case study about return to work was used to explore the process of translating research into practice. The method involved constructing a case study derived from the characteristics of a typical, sick-listed employee with non-specific low back pain in Norway. Next, the five-step evidence-based process, including the Patient, Intervention, Co-Interventions and Outcome framework (PICO), was applied to the case study. An inductive analysis produced 10 technical and more fundamental challenges to incorporate research into intervention decisions for an individual with comorbidity. A more dynamic, interactive approach to the evidence-based practice process is proposed. It is recommended that this plus the 10 challenges are validated with real life cases, as the hypothetical case study may not be replicable. Copyright © 2011 John Wiley & Sons, Ltd.
Conformance Testing: Measurement Decision Rules
NASA Technical Reports Server (NTRS)
Mimbs, Scott M.
2010-01-01
The goal of a Quality Management System (QMS) as specified in ISO 9001 and AS9100 is to provide assurance to the customer that end products meet specifications. Measuring devices, often called measuring and test equipment (MTE), are used to provide the evidence of product conformity to specified requirements. Unfortunately, processes that employ MTE can become a weak link to the overall QMS if proper attention is not given to the measurement process design, capability, and implementation. Documented "decision rules" establish the requirements to ensure measurement processes provide the measurement data that supports the needs of the QMS. Measurement data are used to make the decisions that impact all areas of technology. Whether measurements support research, design, production, or maintenance, ensuring the data supports the decision is crucial. Measurement data quality can be critical to the resulting consequences of measurement-based decisions. Historically, most industries required simplistic, one-size-fits-all decision rules for measurements. One-size-fits-all rules in some cases are not rigorous enough to provide adequate measurement results, while in other cases are overly conservative and too costly to implement. Ideally, decision rules should be rigorous enough to match the criticality of the parameter being measured, while being flexible enough to be cost effective. The goal of a decision rule is to ensure that measurement processes provide data with a sufficient level of quality to support the decisions being made - no more, no less. This paper discusses the basic concepts of providing measurement-based evidence that end products meet specifications. Although relevant to all measurement-based conformance tests, the target audience is the MTE end-user, which is anyone using MTE other than calibration service providers. Topics include measurement fundamentals, the associated decision risks, verifying conformance to specifications, and basic measurement decisions rules.
ERIC Educational Resources Information Center
MacSuga, Ashley S.; Simonsen, Brandi
2011-01-01
Many classroom teachers are faced with challenging student behaviors that impact their ability to facilitate learning in productive, safe environments. At the same time, high-stakes testing, increased emphasis on evidence-based instruction, data-based decision making, and response-to-intervention models have put heavy demands on teacher time and…
School Funding in Ohio: From "DeRolph" to the Evidence-Based Model (EBM) and beyond
ERIC Educational Resources Information Center
Pittner, Nicholas A.; Carleton, Melissa M.; Casto, Cassandra
2010-01-01
Beginning in 1997, a series of Ohio Supreme Court decisions ruled that Ohio's school foundation-based funding system was unconstitutional. Despite judicially mandated reform directives, little change was made until recently when Ohio adopted a modified Evidence-Based Model (EBM) into its statutory funding scheme. Ohio's EBM is intended to remedy…
Teaching Evidence-based Medicine Using Literature for Problem Solving.
ERIC Educational Resources Information Center
Mottonen, Merja; Tapanainen, Paivi; Nuutinen, Matti; Rantala, Heikki; Vainionpaa, Leena; Uhari, Matti
2001-01-01
Evidence-based medicine--the process of using research findings systematically as the basis for clinical decisions--can be taught using problem-solving teaching methods. Evaluates whether it was possible to motivate students to use the original literature by giving them selected patient problems to solve. (Author/ASK)
75 FR 70677 - Agency Information Collection Activities: Proposed Collection; Comment Request
Federal Register 2010, 2011, 2012, 2013, 2014
2010-11-18
... research and through the promotion of improvements in clinical and health system practices, including the... publicly accessible Web-based database of evidence-based clinical practice guidelines meeting explicit... encouraging the use of evidence to make informed health care decisions. The NGC is a vehicle for such...
NASA Technical Reports Server (NTRS)
Dekorvin, Andre
1992-01-01
The Dempster-Shafer theory of evidence is applied to a multiattribute decision making problem whereby the decision maker (DM) must compromise with available alternatives, none of which exactly satisfies his ideal. The decision mechanism is constrained by the uncertainty inherent in the determination of the relative importance of each attribute element and the classification of existing alternatives. The classification of alternatives is addressed through expert evaluation of the degree to which each element is contained in each available alternative. The relative importance of each attribute element is determined through pairwise comparisons of the elements by the decision maker and implementation of a ratio scale quantification method. Then the 'belief' and 'plausibility' that an alternative will satisfy the decision maker's ideal are calculated and combined to rank order the available alternatives. Application to the problem of selecting computer software is given.
Pediatric Burn Reconstruction: Focus on Evidence.
Fisher, Mark
2017-10-01
In this article, the author surveys the best available evidence to guide decision-making in pediatric burn reconstruction. Evidence-based protocols are examined in the context of optimizing form and function in children who have sustained burn injury. Copyright © 2017 Elsevier Inc. All rights reserved.
Progress in evidence-based medicine: a quarter century on.
Djulbegovic, Benjamin; Guyatt, Gordon H
2017-07-22
In response to limitations in the understanding and use of published evidence, evidence-based medicine (EBM) began as a movement in the early 1990s. EBM's initial focus was on educating clinicians in the understanding and use of published literature to optimise clinical care, including the science of systematic reviews. EBM progressed to recognise limitations of evidence alone, and has increasingly stressed the need to combine critical appraisal of the evidence with patient's values and preferences through shared decision making. In another progress, EBM incorporated and further developed the science of producing trustworthy clinical practice guidelines pioneered by investigators in the 1980s. EBM's enduring contributions to clinical medicine include placing the practice of medicine on a solid scientific basis, the development of more sophisticated hierarchies of evidence, the recognition of the crucial role of patient values and preferences in clinical decision making, and the development of the methodology for generating trustworthy recommendations. Copyright © 2017 Elsevier Ltd. All rights reserved.
Utility of qualitative research findings in evidence-based public health practice.
Jack, Susan M
2006-01-01
Epidemiological data, derived from quantitative studies, provide important information about the causes, prevalence, risk correlates, treatment and prevention of diseases, and health issues at a population level. However, public health issues are complex in nature and quantitative research findings are insufficient to support practitioners and administrators in making evidence-informed decisions. Upshur's Synthetic Model of Evidence (2001) situates qualitative research findings as a credible source of evidence for public health practice. This article answers the following questions: (1) where does qualitative research fit within the paradigm of evidence-based practice and (2) how can qualitative research be used by public health professionals? Strategies for using qualitative research findings instrumentally, conceptually, and symbolically are identified by applying Estabrooks' (1999) conceptual structure of research utilization. Different research utilization strategies are illustrated through the use of research examples from the field of work on intimate partner violence against women. Recommendations for qualitative researchers disseminating findings and for public health practitioners/policy makers considering the use of qualitative findings as evidence to inform decisions are provided.
Linley, Warren G; Hughes, Dyfrig A
2012-09-01
There have been several explorations of factors influencing the reimbursement decisions of the National Institute for Health and Clinical Excellence (NICE) but not of other UK-based health technology assessment (HTA) organizations. This study aimed to explore the factors influencing the recommendations of the All Wales Medicines Strategy Group (AWMSG) on the use of new medicines in Wales. Based on public data, logistic regression models were developed to evaluate the influence of cost effectiveness, the quality and quantity of clinical evidence, disease characteristics (including rarity), budget impact, and a range of other factors on the recommendations of AWMSG and its subcommittee, the New Medicines Group (NMG). Multivariate analyses of 47 AWMSG appraisals between 2007-9 correctly predicted 87% of decisions. The results are suggestive of a positive influence on recommendations of the presence of probabilistic sensitivity analyses (PSAs) but, counter-intuitively, a statistically significant negative influence of evidence from high-quality randomized controlled trials (RCTs) [odds ratio 0.059; 95% CI 0.005, 0.699]. This latter observation may be attributed to our strict definition of high quality, which excluded the use of surrogate endpoints. Putative explanatory variables, including cost effectiveness, budget impact, underlying disease characteristics and 'ultra'-orphan drug status were not statistically significant predictors of final AWMSG decisions based on our dataset. Univariate analyses indicate that medicines with negative recommendations had significantly higher incremental cost-effectiveness ratios than those with positive recommendations, consistent with the pursuit of economic efficiency. There is also evidence that AWMSG considers equity issues via an ultra-orphan drugs policy. Consideration of decision uncertainty via PSA appears to positively influence the reimbursement decisions of AWMSG. The significant negative impact of the presence of high-quality RCTs, and the lack of a significant positive impact of other expected factors, may reflect issues in the plausibility of supporting evidence for medicines that received negative recommendations. Furthermore, it serves to emphasize the difficulties in applying the usual hierarchies of evidence to the HTA process, and in particular to the appraisal of high-cost specialist medicines close to market launch.
Improved wound management at lower cost: a sensible goal for Australia.
Norman, Rosana E; Gibb, Michelle; Dyer, Anthony; Prentice, Jennifer; Yelland, Stephen; Cheng, Qinglu; Lazzarini, Peter A; Carville, Keryln; Innes-Walker, Karen; Finlayson, Kathleen; Edwards, Helen; Burn, Edward; Graves, Nicholas
2016-06-01
Chronic wounds cost the Australian health system at least US$2·85 billion per year. Wound care services in Australia involve a complex mix of treatment options, health care sectors and funding mechanisms. It is clear that implementation of evidence-based wound care coincides with large health improvements and cost savings, yet the majority of Australians with chronic wounds do not receive evidence-based treatment. High initial treatment costs, inadequate reimbursement, poor financial incentives to invest in optimal care and limitations in clinical skills are major barriers to the adoption of evidence-based wound care. Enhanced education and appropriate financial incentives in primary care will improve uptake of evidence-based practice. Secondary-level wound specialty clinics to fill referral gaps in the community, boosted by appropriate credentialing, will improve access to specialist care. In order to secure funding for better services in a competitive environment, evidence of cost-effectiveness is required. Future effort to generate evidence on the cost-effectiveness of wound management interventions should provide evidence that decision makers find easy to interpret. If this happens, and it will require a large effort of health services research, it could be used to inform future policy and decision-making activities, reduce health care costs and improve patient outcomes. © 2015 Medicalhelplines.com Inc and John Wiley & Sons Ltd.
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.
Evidence-based medicine in primary care: qualitative study of family physicians.
Tracy, C Shawn; Dantas, Guilherme Coelho; Upshur, Ross E G
2003-05-09
The objectives of this study were: a) to examine physician attitudes to and experience of the practice of evidence-based medicine (EBM) in primary care; b) to investigate the influence of patient preferences on clinical decision-making; and c) to explore the role of intuition in family practice. Qualitative analysis of semi-structured interviews of 15 family physicians purposively selected from respondents to a national survey on EBM mailed to a random sample of Canadian family physicians. Participants mainly welcomed the promotion of EBM in the primary care setting. A significant number of barriers and limitations to the implementation of EBM were identified. EBM is perceived by some physicians as a devaluation of the 'art of medicine' and a threat to their professional/clinical autonomy. Issues regarding the trustworthiness and credibility of evidence were of great concern, especially with respect to the influence of the pharmaceutical industry. Attempts to become more evidence-based often result in the experience of conflicts. Patient factors exert a powerful influence on clinical decision-making and can serve as trumps to research evidence. A widespread belief that intuition plays a vital role in primary care reinforced views that research evidence must be considered alongside other factors such as patient preferences and the clinical judgement and experience of the physician. Primary care physicians are increasingly keen to consider research evidence in clinical decision-making, but there are significant concerns about the current model of EBM. Our findings support the proposed revisions to EBM wherein greater emphasis is placed on clinical expertise and patient preferences, both of which remain powerful influences on physician behaviour.
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.
The quality of instruments to assess the process of shared decision making: A systematic review.
Gärtner, Fania R; Bomhof-Roordink, Hanna; Smith, Ian P; Scholl, Isabelle; Stiggelbout, Anne M; Pieterse, Arwen H
2018-01-01
To inventory instruments assessing the process of shared decision making and appraise their measurement quality, taking into account the methodological quality of their validation studies. In a systematic review we searched seven databases (PubMed, Embase, Emcare, Cochrane, PsycINFO, Web of Science, Academic Search Premier) for studies investigating instruments measuring the process of shared decision making. Per identified instrument, we assessed the level of evidence separately for 10 measurement properties following a three-step procedure: 1) appraisal of the methodological quality using the COnsensus-based Standards for the selection of health status Measurement INstruments (COSMIN) checklist, 2) appraisal of the psychometric quality of the measurement property using three possible quality scores, 3) best-evidence synthesis based on the number of studies, their methodological and psychometrical quality, and the direction and consistency of the results. The study protocol was registered at PROSPERO: CRD42015023397. We included 51 articles describing the development and/or evaluation of 40 shared decision-making process instruments: 16 patient questionnaires, 4 provider questionnaires, 18 coding schemes and 2 instruments measuring multiple perspectives. There is an overall lack of evidence for their measurement quality, either because validation is missing or methods are poor. The best-evidence synthesis indicated positive results for a major part of instruments for content validity (50%) and structural validity (53%) if these were evaluated, but negative results for a major part of instruments when inter-rater reliability (47%) and hypotheses testing (59%) were evaluated. Due to the lack of evidence on measurement quality, the choice for the most appropriate instrument can best be based on the instrument's content and characteristics such as the perspective that they assess. We recommend refinement and validation of existing instruments, and the use of COSMIN-guidelines to help guarantee high-quality evaluations.
Shoemaker, Lorie K; Kazley, Abby Swanson; White, Andrea
2010-01-01
The aim of this study was to describe the organizational decision-making process used in the selection of evidence-based design (EBD) concepts, the criteria used to make these decisions, and the extent to which leadership style may have influenced the decision-making process. Five research questions were formulated to frame the direction of this study, including: (1) How did healthcare leaders learn of innovations in design? (2) How did healthcare leaders make decisions in the selection of healthcare design concepts? (3) What criteria did healthcare leaders use in the decision-making process? (4) How did healthcare leaders consider input from the staff in design decisions? and (5) To what extent did the leadership style of administrators affect the outcomes of the decision-making process? Current issues affecting healthcare in the community led the principal investigator's organization to undertake an ambitious facilities expansion project. As part of its planning process, the organization learned of EBD principles that seemingly had a positive impact on patient care and safety and staff working conditions. Although promising, a paucity of empirical research addressed the cost/benefit of incorporating many EBD concepts into one hospital setting, and there was no research that articulated the organizational decision-making process used by healthcare administrators when considering the use of EBD in expansion projects. A mixed-method, descriptive, qualitative, single-case study and quantitative design were used to address the five research questions. The Systems Research Organizing Model provided the theoretical framework. A variety of data collection methods was used, including interviews of key respondents, the review of documentary evidence, and the Multifactor Leadership Questionnaire. A participatory process was used throughout the design decision phases, involving staff at all levels of the organization. The Internet and architects facilitated learning about EBD. Financial considerations were a factor in decision making. The prevalence of the transformational leadership style among the organization's administrators exceeded the U.S. mean.
Medical ethics: a rational approach to patient management.
Livadas, Gerry
2002-01-01
Physicians make their decisions based upon scientific evidence with their first consideration being the Hippocratic axiom 'not to do harm'. In practice, a number of non-medical issues influence this process and generate conflicting judgments. We analyze these issues that form the context of medical ethics which is perceived as a subject wider than morality. It is also a religious, social, political, economic, legal and cultural issue. Therefore, the patient, physician and other professionals play important roles in the decision-making. The final decision is not a decision based on medical textbooks, but is rational in that it is based on reason for the benefit of the individual. Copyright 2002 S. Karger AG, Basel
Influence of branding on preference-based decision making.
Philiastides, Marios G; Ratcliff, Roger
2013-07-01
Branding has become one of the most important determinants of consumer choices. Intriguingly, the psychological mechanisms of how branding influences decision making remain elusive. In the research reported here, we used a preference-based decision-making task and computational modeling to identify which internal components of processing are affected by branding. We found that a process of noisy temporal integration of subjective value information can model preference-based choices reliably and that branding biases are explained by changes in the rate of the integration process itself. This result suggests that branding information and subjective preference are integrated into a single source of evidence in the decision-making process, thereby altering choice behavior.
ERIC Educational Resources Information Center
Rohwer, Anke; Motaze, Nkengafac Villyen; Rehfuess, Eva; Young, Taryn
2017-01-01
E-learning is a useful strategy to increase Evidence-based health care (EBHC) knowledge and skills, and when combined with face-to-face learning, to increase EBHC attitude and behaviour. EBHC is decision-making for health care, informed by the best research evidence. Doctors, nurses and allied health professionals need to have the necessary…
ERIC Educational Resources Information Center
Matsushita, Ryohei
2017-01-01
In the field of education, evidence means an objective ground for setting or judging an educational policy, plan or method, as an effective means to attain a given political end or educational objective. Evidence-based education has been regarded as a decisive device to pursue the accountability and improve the quality of education by connecting…
Materials for Paediatric Dentistry. Part 2: The Evidence.
Jenkins, Natalie
2015-12-01
Which materials should be used to restore primary teeth? The second part in this series summarizes the current evidence base relating to this question, and describes the biological approach to caries management. CPD/Clinical Relevance: Our decisions regarding material choices should be based, where possible, on up-to-date evidence. This will help to ensure that the appropriate material is placed in the appropriate clinical scenario.
Haby, Michelle M; Chapman, Evelina; Clark, Rachel; Barreto, Jorge; Reveiz, Ludovic; Lavis, John N
2016-08-18
The objective of this work was to inform the design of a rapid response program to support evidence-informed decision-making in health policy and practice for the Americas region. Specifically, we focus on the following: (1) What are the best methodological approaches for rapid reviews of the research evidence? (2) What other strategies are needed to facilitate evidence-informed decision-making in health policy and practice? and (3) How best to operationalize a rapid response program? The evidence used to inform the design of a rapid response program included (i) two rapid reviews of methodological approaches for rapid reviews of the research evidence and strategies to facilitate evidence-informed decision-making, (ii) supplementary literature in relation to the "shortcuts" that could be considered to reduce the time needed to complete rapid reviews, (iii) four case studies, and (iv) supplementary literature to identify additional operational issues for the design of the program. There is no agreed definition of rapid reviews in the literature and no agreed methodology for conducting them. Better reporting of rapid review methods is needed. The literature found in relation to shortcuts will be helpful in choosing shortcuts that maximize timeliness while minimizing the impact on quality. Evidence for other strategies that can be used concurrently to facilitate the uptake of research evidence, including evidence drawn from rapid reviews, is presented. Operational issues that need to be considered in designing a rapid response program include the implications of a "user-pays" model, the importance of recruiting staff with the right mix of skills and qualifications, and ensuring that the impact of the model on research use in decision-making is formally evaluated. When designing a new rapid response program, greater attention needs to be given to specifying the rapid review methods and reporting these in sufficient detail to allow a quality assessment. It will also be important to engage in other strategies to facilitate the uptake of the rapid reviews and to evaluate the chosen model in order to make refinements and add to the evidence base for evidence-informed decision-making.
Visualizing Decision-making Behaviours in Agent-based Autonomous Spacecraft
NASA Technical Reports Server (NTRS)
North, Steve; Hennessy, Joseph F. (Technical Monitor)
2003-01-01
The authors will report initial progress on the PIAudit project as a Research Resident Associate Program. The objective of this research is to prototype a tool for visualizing decision-making behaviours in autonomous spacecraft. This visualization will serve as an information source for human analysts. The current visualization prototype for PIAudit combines traditional Decision Trees with Weights of Evidence.
Sexuality Education: Building an Evidence- and Rights-Based Approach to Healthy Decision-Making
ERIC Educational Resources Information Center
Bridges, Emily; Hauser, Debra
2014-01-01
As they grow up, young people face important decisions about relationships, sexuality, and sexual behavior. The decisions they make can impact their health and well-being for the rest of their lives. Young people have the right to lead healthy lives, and society has the responsibility to prepare youth by providing them with comprehensive sexual…
ERIC Educational Resources Information Center
Radakovic, Nenad
2015-01-01
Research in mathematics education stresses the importance of content knowledge in solving authentic tasks in statistics and in risk-based decision making. Existing research supports the claim that students rely on content knowledge and context expertise to make sense of data. In this article, however, I present evidence that the relationship…
ERIC Educational Resources Information Center
Lewis, Timothy J.; Mitchell, Barbara S.
2012-01-01
Students with emotional and behavioral disorders are at great risk for long-term negative outcomes. Researchers and practitioners alike acknowledge the need for evidence-based, preventive, and early intervention strategies. Accordingly, in this chapter an expanded view of prevention is presented as a series of data driven decisions to guide…
The practice of evidence-based medicine involves the care of whole persons.
Richardson, W Scott
2017-04-01
In this issue of the Journal, Dr. Fava posits that evidence-based medicine (EBM) was bound to fail. I share some of the concerns he expresses, yet I see more reasons for optimism. Having been on rounds with both Drs. Engel and Sackett, I reckon they would have agreed more than they disagreed. Their central teaching was the compassionate and well-informed care of sick persons. The model that emerged from these rounds was that patient care could be both person-centered and evidence-based, that clinical judgment was essential to both, and the decisions could and should be shared. Both clinicians and patients can bring knowledge from several sources into the shared decision making process in the clinical encounter, including evidence from clinical care research. I thank Dr. Fava for expressing legitimate doubts and providing useful criticism, yet I am cautiously optimistic that the model of EBM described here is robust enough to meet the challenges and is not doomed to fail. Copyright © 2017 Elsevier Inc. All rights reserved.
Research to reality (R2R) mentorship program: building partnership, capacity, and evidence.
Purcell, E Peyton; Mitchell, Charlene; Celestin, Michael D; Evans, Kiameesha R; Haynes, Venice; McFall, Angela; Troyer, Lisa; Sanchez, Michael A
2013-05-01
Despite a wealth of intervention research in cancer control, full integration of evidence-based interventions into practice often fails, at least in part because of inadequate collaboration between practitioners and researchers. The National Cancer Institute piloted a mentorship program designed for practitioners to improve their ability to navigate evidence-based decision making within a context of inadequate resources, political barriers, and organizational constraints. The National Cancer Institute simultaneously sought to provide opportunities for practitioners and researchers to share and learn from each other. We identified four key successes and challenges related to translation as experienced by mentees: (a) establishing and maintaining partnerships, (b) data collection and analysis, (c) navigating context, and (d) program adaptation and evaluation. Mentorship programs have the potential to facilitate increased and more successful integration of evidence-based interventions into practice by promoting and building the capacity for collaborative decision making and generating in-depth understanding of the translation barriers and successes as well as strategies to address the complex contextual issues relative to implementation.
The Neural Basis of Risky Choice with Affective Outcomes
Suter, Renata S.; Pachur, Thorsten; Hertwig, Ralph; Endestad, Tor; Biele, Guido
2015-01-01
Both normative and many descriptive theories of decision making under risk are based on the notion that outcomes are weighted by their probability, with subsequent maximization of the (subjective) expected outcome. Numerous investigations from psychology, economics, and neuroscience have produced evidence consistent with this notion. However, this research has typically investigated choices involving relatively affect-poor, monetary outcomes. We compared choice in relatively affect-poor, monetary lottery problems with choice in relatively affect-rich medical decision problems. Computational modeling of behavioral data and model-based neuroimaging analyses provide converging evidence for substantial differences in the respective decision mechanisms. Relative to affect-poor choices, affect-rich choices yielded a more strongly curved probability weighting function of cumulative prospect theory, thus signaling that the psychological impact of probabilities is strongly diminished for affect-rich outcomes. Examining task-dependent brain activation, we identified a region-by-condition interaction indicating qualitative differences of activation between affect-rich and affect-poor choices. Moreover, brain activation in regions that were more active during affect-poor choices (e.g., the supramarginal gyrus) correlated with individual trial-by-trial decision weights, indicating that these regions reflect processing of probabilities. Formal reverse inference Neurosynth meta-analyses suggested that whereas affect-poor choices seem to be based on brain mechanisms for calculative processes, affect-rich choices are driven by the representation of outcomes’ emotional value and autobiographical memories associated with them. These results provide evidence that the traditional notion of expectation maximization may not apply in the context of outcomes laden with affective responses, and that understanding the brain mechanisms of decision making requires the domain of the decision to be taken into account. PMID:25830918
The neural basis of risky choice with affective outcomes.
Suter, Renata S; Pachur, Thorsten; Hertwig, Ralph; Endestad, Tor; Biele, Guido
2015-01-01
Both normative and many descriptive theories of decision making under risk are based on the notion that outcomes are weighted by their probability, with subsequent maximization of the (subjective) expected outcome. Numerous investigations from psychology, economics, and neuroscience have produced evidence consistent with this notion. However, this research has typically investigated choices involving relatively affect-poor, monetary outcomes. We compared choice in relatively affect-poor, monetary lottery problems with choice in relatively affect-rich medical decision problems. Computational modeling of behavioral data and model-based neuroimaging analyses provide converging evidence for substantial differences in the respective decision mechanisms. Relative to affect-poor choices, affect-rich choices yielded a more strongly curved probability weighting function of cumulative prospect theory, thus signaling that the psychological impact of probabilities is strongly diminished for affect-rich outcomes. Examining task-dependent brain activation, we identified a region-by-condition interaction indicating qualitative differences of activation between affect-rich and affect-poor choices. Moreover, brain activation in regions that were more active during affect-poor choices (e.g., the supramarginal gyrus) correlated with individual trial-by-trial decision weights, indicating that these regions reflect processing of probabilities. Formal reverse inference Neurosynth meta-analyses suggested that whereas affect-poor choices seem to be based on brain mechanisms for calculative processes, affect-rich choices are driven by the representation of outcomes' emotional value and autobiographical memories associated with them. These results provide evidence that the traditional notion of expectation maximization may not apply in the context of outcomes laden with affective responses, and that understanding the brain mechanisms of decision making requires the domain of the decision to be taken into account.
2013-01-01
South Africa, the country with the largest HIV epidemic worldwide, has been scaling up treatment since 2003 and is rapidly expanding its eligibility criteria. The HIV treatment programme has achieved significant results, and had 1.8 million people on treatment per 2011. Despite these achievements, it is now facing major concerns regarding (i) efficiency: alternative treatment policies may save more lives for the same budget; (ii) equity: there are large inequalities in who receives treatment; (iii) feasibility: still only 52% of the eligible population receives treatment. Hence, decisions on the design of the present HIV treatment programme in South Africa can be considered suboptimal. We argue there are two fundamental reasons to this. First, while there is a rapidly growing evidence-base to guide priority setting decisions on HIV treatment, its included studies typically consider only one criterion at a time and thus fail to capture the broad range of values that stakeholders have. Second, priority setting on HIV treatment is a highly political process but it seems no adequate participatory processes are in place to incorporate stakeholders’ views and evidences of all sorts. We propose an alternative approach that provides a better evidence base and outlines a fair policy process to improve priority setting in HIV treatment. The approach integrates two increasingly important frameworks on health care priority setting: accountability for reasonableness (A4R) to foster procedural fairness, and multi-criteria decision analysis (MCDA) to construct an evidence-base on the feasibility, efficiency, and equity of programme options including trade-offs. The approach provides programmatic guidance on the choice of treatment strategies at various decisions levels based on a sound conceptual framework, and holds large potential to improve HIV priority setting in South Africa. PMID:24107435
Medical and pharmacy coverage decision making at the population level.
Mohr, Penny E; Tunis, Sean R
2014-06-01
Medicare is one of the largest health care payers in the United States. As a result, its decisions about coverage have profound implications for patient access to care. In this commentary, the authors describe how Medicare used evidence on heterogeneity of treatment effects to make population-based decisions on health care coverage for implantable cardiac defibrillators. This case is discussed in the context of the rapidly expanding availability of comparative effectiveness research. While there is a potential tension between population-based and patient-centered decision making, the expanded diversity of populations and settings included in comparative effectiveness research can provide useful information for making more discerning and informed policy and clinical decisions.
Clinical intuition in the nursing process and decision-making-A mixed-studies review.
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.
NASA Astrophysics Data System (ADS)
Frey, Elaine F.
Even though environmental policy can greatly affect the path of technology diffusion, the economics literature contains limited empirical evidence of this relationship. My research will contribute to the available evidence by providing insight into the technology adoption decisions of electric generating firms. Since policies are often evaluated based on the incentives they provide to promote adoption of new technologies, it is important that policy makers understand the relationship between technological diffusion and regulation structure to make informed decisions. Lessons learned from this study can be used to guide future policies such as those directed to mitigate climate change. I first explore the diffusion of scrubbers, a sulfur dioxide (SO 2) abatement technology, in response to federal market-based regulations and state command-and-control regulations. I develop a simple theoretical model to describe the adoption decisions of scrubbers and use a survival model to empirically test the theoretical model. I find that power plants with strict command-and-control regulations have a high probability of installing a scrubber. These findings suggest that although market-based regulations have encouraged diffusion, many scrubbers have been installed because of state regulatory pressure. Although tradable permit systems are thought to give firms more flexibility in choosing abatement technologies, I show that interactions between a permit system and pre-existing command-and-control regulations can limit that flexibility. In a separate analysis, I explore the diffusion of combined cycle (CC) generating units, which are natural gas-fired generating units that are cleaner and more efficient than alternative generating units. I model the decision to consider adoption of a CC generating unit and the extent to which the technology is adopted in response to environmental regulations imposed on new sources of pollutants. To accomplish this, I use a zero-inflated Poisson model and focus on both the decision to adopt a CC unit at an existing power plant as well as the firm-level decision to adopt a CC unit in either a new or an existing power plant. Evidence from this empirical investigation shows that environmental regulation has a significant effect on both the decision to consider adoption as well as the extent of adoption.
Features of Computer-Based Decision Aids: Systematic Review, Thematic Synthesis, and Meta-Analyses
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
Evidence-Based Medicine in Managed Care: A Survey of Current and Emerging Strategies
Keckley, Paul H
2004-01-01
Background Evidence-based medicine is the “conscientious application of scientific best practice by clinicians in concert with patient understanding and values.”[1] Recent studies by the Institute of Medicine, RAND, and others have called attention to the gap between scientifically supported approaches to care and day-to-day practice by clinicians. Compounding the problem of non-adherence by providers, researchers have observed that patient compliance also falls short. As a result, avoidable costs from inappropriate variability in practice patterns coupled with patient noncompliance are a significant focus of managed care. Managed care plans play a key role in the selection of providers by consumers and in the design of benefits programs by employers. Avoidable costs from misuse, overuse, and under-use of care from clinicians is a strategic focus for health plans. The evidence upon which a plan makes coverage decisions and the incorporation of evidence in programs targeting providers, employers, and consumers was a focus of this study. Methodology A Delphi survey and 2-day interactive sessions with 128 clinical program directors and medical officers from 89 health plans were the primary methods used in this descriptive analysis. To test participant applications of evidence-based medicine in health plan medical management strategy, 3 conditions were used for illustrative purpose: managing rheumatoid arthritis, increasing remission in depression, and reducing heart disease among diabetics. Each provided a unique challenge to plans in terms of condition prevalence, strength of evidence, and cost. Key Findings Health plans incorporate evidence-based medicine in 5 areas overseen by medical management: (1) coverage decisions wherein improvements in pharmaceutical and therapeutic review processes are sought, (2) disease management efforts wherein increased attention to secondary prevention is desirable, (3) provider profiling wherein increased use of adherence measures comparing practices is a focus, (4) pay-for-performance programs linking physician adherence to financial incentives, and (5) consumer-directed care programs wherein patient compliance to evidence-based treatment directives is the focus. Factors that influence a plan's approach to a patient population include prevalence of the condition, the strength of evidence about a particular diagnostic or prognostic strategy, costs associated with the condition, and the influence of employers in coverage decisions. Conclusion Evidence-based medicine is the foundation for significant activity among plans to increase physician and patient adherence. There remain significant challenges in the implementation of evidence-based care management by plans, including the willingness of plans to agree on evidence-based guidelines, the willingness of employers to pay for evidence-based interventions, the balance of short- and long-term benefits for evidence-based interventions where secondary prevention is a consideration, and substantial distrust among providers. PMID:15266281
Community infection control: what is the evidence?
Ward, Deborah
2002-06-01
Evidence-based practice is the conscientious use of current best evidence in decision-making about care or the delivery of health services (National Institute for Public Health, 1996). Evidence-based health care is one aspect of the quality improvement activities of clinical governance as a main component of the programme of quality in the NHS (Hek, 2000). Practitioners working in clinical areas are therefore being required to deliver care that has been shown to be effective. (Playle, 2000).
Bayes` theorem and quantitative risk assessment
DOE Office of Scientific and Technical Information (OSTI.GOV)
Kaplan, S.
1994-12-31
This paper argues that for a quantitative risk analysis (QRA) to be useful for public and private decision making, and for rallying the support necessary to implement those decisions, it is necessary that the QRA results be ``trustable.`` Trustable means that the results are based solidly and logically on all the relevant evidence available. This, in turn, means that the quantitative results must be derived from the evidence using Bayes` theorem. Thus, it argues that one should strive to make their QRAs more clearly and explicitly Bayesian, and in this way make them more ``evidence dependent`` than ``personality dependent.``
Evidence-based medicine: the fourth revolution in American medicine?
Chung, Kevin C; Ram, Ashwin N
2009-01-01
The use of evidence has become a force in American medicine to improve the quality of health care. Funding decisions from payers will demand studies with high-level evidence to support many of the costly interventions in medicine. Plastic surgery is certainly not immune to this national tidal wave to revamp the health care system by embracing evidence-based medicine in our practices. In scientific contributions of plastic surgery research, application of evidence-based principles should enhance the care of all patients by relying on science rather than opinions. In this article, the genesis of evidence-based medicine is discussed to guide plastic surgery in this new revolution in American medicine.
Evidence-based prosthodontics: fundamental considerations, limitations, and guidelines.
Bidra, Avinash S
2014-01-01
Evidence-based dentistry is rapidly emerging to become an integral part of patient care, dental education, and research. Prosthodontics is a unique dental specialty that encompasses art, philosophy, and science and includes reversible and irreversible treatments. It not only affords good applicability of many principles of evidence-based dentistry but also poses numerous limitations. This article describes the epidemiologic background, fundamental considerations, scrutiny of levels of evidence, limitations, guidelines, and future perspectives of evidence-based prosthodontics. Understanding these principles can aid clinicians in appropriate appraisal of the prosthodontics literature and use the best available evidence for making confident clinical decisions and optimizing patient care. Copyright © 2014 Elsevier Inc. All rights reserved.
Isham, Amy; Bettiol, Silvana; Hoang, Ha; Crocombe, Leonard
2016-05-01
Understanding the information-seeking behavior of dentists may inform ways to increase the dentist uptake of evidence-based research for clinical decision making and the practice of evidence-based dentistry, but no systematic review of dentist information-seeking behavior has been conducted. This review aimed to synthesize the best available evidence on where and how dentists seek information. A literature search of Web of Science, Scopus, PubMed, and reference lists of English language studies from the Organization for Economic Cooperation and Development countries of dentists' information-seeking behavior published between 2002 and 2014 was conducted. Selected articles were assessed using mixed methods analysis, and the data extracted were thematically synthesized. Nine studies met the inclusion criteria, and four main themes were identified: dentists' difficulty translating evidence-based resources into clinical practice; dentists' preference for face-to-face meetings, collegial discussion, and print materials over evidence-based resources; dentists' perceptions of the validity of evidence-based resources and the role of specialist and experienced dentists as information sources for general and less experienced dentists; and differences between early and late adopters of research evidence. Dentists in these studies tended to adopt new materials/techniques after discussion with a colleague, a dental specialist, or a respected dental expert. These dentists also reported lacking time, experience, skills, and confidence to find and use evidence-based resources. Many of the dentists studied were cautious about making decisions based on documentary sources like literature reviews and preferred to seek advice from an experienced or specialist colleague or to participate in face-to-face meetings.
Research-based-decision-making in Canadian health organizations: a behavioural approach.
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.
Adsul, Prajakta; Wray, Ricardo; Spradling, Kyle; Darwish, Oussama; Weaver, Nancy; Siddiqui, Sameer
2015-11-01
Despite established evidence for using patient decision aids, use with newly diagnosed patients with prostate cancer remains limited partly due to variability in aid characteristics. We systematically reviewed decision aids for newly diagnosed patients with prostate cancer. Published peer reviewed journal articles, unpublished literature on the Internet and the Ottawa decision aids web repository were searched to identify decision aids designed for patients with prostate cancer facing treatment decisions. A total of 14 aids were included in study. Supplementary materials on aid development and published studies evaluating the aids were also included. We studied aids designed to help patients make specific choices among options and outcomes relevant to health status that were specific to prostate cancer treatment and in English only. Aids were reviewed for IPDAS (International Patient Decision Aid Standards) and additional standards deemed relevant to prostate cancer treatment decisions. They were also reviewed for novel criteria on the potential for implementation. Acceptable interrater reliability was achieved at Krippendorff α = 0.82. Eight of the 14 decision aids (57.1%) were developed in the United States, 6 (42.8%) were print based, 5 (35.7%) were web or print based and only 4 (28.5%) had been updated since 2013. Ten aids (71.4%) were targeted to prostate cancer stage. All discussed radiation and surgery, 10 (71.4%) discussed active surveillance and/or watchful waiting and 8 (57.1%) discussed hormonal therapy. Of the aids 64.2% presented balanced perspectives on treatment benefits and risks, and/or outcome probabilities associated with each option. Ten aids (71.4%) presented value clarification prompts for patients and steps to make treatment decisions. No aid was tested with physicians and only 4 (28.6%) were tested with patients. Nine aids (64.2%) provided details on data appraisal and 4 (28.6%) commented on the quality of evidence used. Seven of the 8 web or computer based aids (87.5%) provided patients with the opportunity to interact with the aid. All except 1 aid scored above the 9th grade reading level. No evidence on aid implementation in routine practice was available. As physicians look to adopt decision aids in practice, they may base the choice of aid on characteristics that correlate with patient socioeconomic and educational status, personal practice style and practice setting. Copyright © 2015 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.
Clinical thinking in psychiatry.
Wells, Lloyd A
2015-06-01
I discuss the lack of precision in the term 'clinical reasoning' and its relationship to evidence-based medicine and critical thinking. I examine critical thinking skills, their underemphasis in medical education and successful attempts to remediate them. Evidence-based medicine (and evidence-based psychiatry) offer much but are hampered by the ubiquity and flaws of meta-analysis. I explore views of evidence-based medicine among psychiatry residents, as well as capacity for critical thinking in residents before and after a course in philosophy. I discuss decision making by experienced doctors and suggest possible futures of this issue. © 2015 John Wiley & Sons, Ltd.
Teacher Education under Audit: Value-Added Measures,TVAAS, EdTPA and Evidence-Based Theory
ERIC Educational Resources Information Center
Price, Todd Alan
2014-01-01
This article describes how evidence-based theory fuels an audit culture for teacher education in the USA, placing faculty under monitoring and surveillance, and severely constraining judgment, discretion, and professional decision-making. The national education reform efforts, Race to the Top and Common Core State Standards, demand fealty to…
Making the Intentional Decision to Use an Effective Curriculum to Promote Children's Learning
ERIC Educational Resources Information Center
Cross, Alice Frazeur; Conn-Powers, Michael
2014-01-01
This study investigated the extent to which early education classrooms across Indiana implemented evidence-based practices and how well the classrooms of different types of early education programs in our state compared with one another. Evidence-based effective curricula increase children's learning compared to those that are not effective. This…
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…
Implementing Evidence-Based Practice: A Review of the Empirical Research Literature
ERIC Educational Resources Information Center
Gray, Mel; Joy, Elyssa; Plath, Debbie; Webb, Stephen A.
2013-01-01
The article reports on the findings of a review of empirical studies examining the implementation of evidence-based practice (EBP) in the human services. Eleven studies were located that defined EBP as a research-informed, clinical decision-making process and identified barriers and facilitators to EBP implementation. A thematic analysis of the…
42 CFR 405.1206 - Expedited determination procedures for inpatient hospital care.
Code of Federal Regulations, 2011 CFR
2011-10-01
..., or based on other Medicare coverage policies. Consistent with paragraph (e)(2) of this section, the... determination based on the evidence at hand, or it may defer a decision until it receives the necessary... available to discuss the case. (3) The beneficiary may, but is not required to, submit written evidence to...
42 CFR 405.1206 - Expedited determination procedures for inpatient hospital care.
Code of Federal Regulations, 2012 CFR
2012-10-01
..., or based on other Medicare coverage policies. Consistent with paragraph (e)(2) of this section, the... determination based on the evidence at hand, or it may defer a decision until it receives the necessary... available to discuss the case. (3) The beneficiary may, but is not required to, submit written evidence to...
42 CFR 405.1206 - Expedited determination procedures for inpatient hospital care.
Code of Federal Regulations, 2013 CFR
2013-10-01
..., or based on other Medicare coverage policies. Consistent with paragraph (e)(2) of this section, the... determination based on the evidence at hand, or it may defer a decision until it receives the necessary... available to discuss the case. (3) The beneficiary may, but is not required to, submit written evidence to...
42 CFR 405.1206 - Expedited determination procedures for inpatient hospital care.
Code of Federal Regulations, 2014 CFR
2014-10-01
..., or based on other Medicare coverage policies. Consistent with paragraph (e)(2) of this section, the... determination based on the evidence at hand, or it may defer a decision until it receives the necessary... available to discuss the case. (3) The beneficiary may, but is not required to, submit written evidence to...
An Evidence-Based Practice Model across the Academic and Clinical Settings
ERIC Educational Resources Information Center
Wolter, Julie A.; Corbin-Lewis, Kim; Self, Trisha; Elsweiler, Anne
2011-01-01
This tutorial is designed to provide academic communication sciences and disorders (CSD) programs, at both the undergraduate and graduate levels, with a comprehensive instructional model on evidence-based practice (EBP). The model was designed to help students view EBP as an ongoing process needed in all clinical decision making. The three facets…
[Parameter of evidence-based medicine in health care economics].
Wasem, J; Siebert, U
1999-08-01
In the view of scarcity of resources, economic evaluations in health care, in which not only effects but also costs related to a medical intervention are examined and a incremental cost-outcome-ratio is build, are an important supplement to the program of evidence based medicine. Outcomes of a medical intervention can be measured by clinical effectiveness, quality-adjusted life years, and monetary evaluation of benefits. As far as costs are concerned, direct medical costs, direct non-medical costs and indirect costs have to be considered in an economic evaluation. Data can be used from primary studies or secondary analysis; metaanalysis for synthesizing of data may be adequate. For calculation of incremental cost-benefit-ratios, models of decision analysis (decision tree models, Markov-models) often are necessary. Methodological and ethical limits for application of the results of economic evaluation in resource allocation decision in health care have to be regarded: Economic evaluations and the calculation of cost-outcome-rations should only support decision making but cannot replace it.
Nettleton, Joyce A; von Schacky, Clemens; Brouwer, Ingeborg A; Koletzko, Berthold
2017-01-01
This paper summarizes a debate on whether meta-analyses and systematic reviews are decisive in formulating guidelines for dietary fat. Held during the 12th congress of the International Society for the Study of Fatty Acids and Lipids in Stellenbosch, South Africa, September 7, 2016, the debate was hosted by the International Union of Nutritional Sciences and the International Expert Movement to Improve Dietary Fat Quality (IEM, www.theiem.org). Clemens von Schacky, Ludwig Maximilians-University, Munich, Germany, supported the statement, describing the types of weaknesses in individual studies and clinical trials. With examples of how to overcome such limitations, he concluded that nutritional guidelines on fat need a proper scientific basis in which randomized controlled trials (RCTs) with clinical endpoints and their meta-analyses are essential and decisive. In contention, Ingeborg Brouwer, Vrije Universiteit, Amsterdam, declared that recommendations on dietary fat intake should always be based on the totality of the evidence, including physiologic and biochemical knowledge and associations from observational epidemiology. RCTs and meta-analyses have their shortcomings, but well-conducted systematic reviews and meta-analyses support a transparent process for developing dietary fat guidelines. Participants agreed that evidence-based decision-making for dietary guidance should consider all the best available evidence using a transparent, systematic review. © 2017 The Author(s) Published by S. Karger AG, Basel.
de Kwaadsteniet, Leontien; Hagmayer, York
2017-01-01
Evidence-based psychotherapy requires clinicians to consider theories of psychopathology and evidence about effectiveness, and their experience when choosing interventions. Research on clinical decision making indicates that clinicians’ theories of disorders might be personal and inform judgments and choices beyond current scientific theory and evidence. We asked 20 child therapists to draw models of how they believed that biological, psychological, environmental, and behavioral factors interact to cause and maintain four common developmental disorders. They were also asked to judge the effectiveness of interventions recommended in the literature. Therapists showed only fair agreement about the factors and a slight to fair agreement about the causal relations between these, and just fair agreement about interventions’ effectiveness. Despite these disagreements, we could predict effectiveness judgments from therapists’ personal theories, which indicates that clinicians use personal theories in decision making. We discuss the implications of these findings for evidence-based practice. PMID:29527408
Turner, Simon; D'Lima, Danielle; Hudson, Emma; Morris, Stephen; Sheringham, Jessica; Swart, Nick; Fulop, Naomi J
2017-12-04
A range of evidence informs decision-making on innovation in health care, including formal research findings, local data and professional opinion. However, cultural and organisational factors often prevent the translation of evidence for innovations into practice. In addition to the characteristics of evidence, it is known that processes at the individual level influence its impact on decision-making. Less is known about the ways in which processes at the professional, organisational and local system level shape evidence use and its role in decisions to adopt innovations. A systematic scoping review was used to review the health literature on innovations within acute and primary care and map processes at the professional, organisational and local system levels which influence how evidence informs decision-making on innovation. Stakeholder feedback on the themes identified was collected via focus groups to test and develop the findings. Following database and manual searches, 31 studies reporting primary qualitative data met the inclusion criteria: 24 were of sufficient methodological quality to be included in the thematic analysis. Evidence use in decision-making on innovation is influenced by multi-level processes (professional, organisational, local system) and interactions across these levels. Preferences for evidence vary by professional group and health service setting. Organisations can shape professional behaviour by requiring particular forms of evidence to inform decision-making. Pan-regional organisations shape innovation decision-making at lower levels. Political processes at all levels shape the selection and use of evidence in decision-making. The synthesis of results from primary qualitative studies found that evidence use in decision-making on innovation is influenced by processes at multiple levels. Interactions between different levels shape evidence use in decision-making (e.g. professional groups and organisations can use local systems to validate evidence and legitimise innovations, while local systems can tailor or frame evidence to influence activity at lower levels). Organisational leaders need to consider whether the environment in which decisions are made values diverse evidence and stakeholder perspectives. Further qualitative research on decision-making practices that highlights how and why different types of evidence come to count during decisions, and tracks the political aspects of decisions about innovation, is needed.
Exploring the Use of Evidence in Practice by Australian Special Librarians
ERIC Educational Resources Information Center
Howlett, Alisa; Howard, Zaana
2015-01-01
Introduction: Evidence-based practice is a process through which evidence in its various forms is sourced, appraised and applied in order to solve a problem, inform decision making, or improve practice. The purpose of this paper is to share findings from a qualitative research study that sought to identify evidence used by Australian special…
How to understand and conduct evidence-based medicine.
Kang, Hyun
2016-10-01
Evidence-based medicine (EBM) is the conscientious, explicit, and judicious use of current best evidence in making decisions regarding the care of individual patients. This concept has gained popularity recently, and its applications have been steadily expanding. Nowadays, the term "evidence-based" is used in numerous situations and conditions, such as evidence-based medicine, evidence-based practice, evidence-based health care, evidence-based social work, evidence-based policy, and evidence-based education. However, many anesthesiologists and their colleagues have not previously been accustomed to utilizing EBM, and they have experienced difficulty in understanding and applying the techniques of EBM to their practice. In this article, the author discusses the brief history, definition, methods, and limitations of EBM. As EBM also involves making use of the best available information to answer questions in clinical practice, the author emphasizes the process of performing evidence-based medicine: generate the clinical question, find the best evidence, perform critical appraisal, apply the evidence, and then evaluate. Levels of evidence and strength of recommendation were also explained. The author expects that this article may be of assistance to readers in understanding, conducting, and evaluating EBM.
Utecht, Joseph; Brochhausen, Mathias; Judkins, John; Schneider, Jodi; Boyce, Richard D
2017-01-01
In this research we aim to demonstrate that an ontology-based system can categorize potential drug-drug interaction (PDDI) evidence items into complex types based on a small set of simple questions. Such a method could increase the transparency and reliability of PDDI evidence evaluation, while also reducing the variations in content and seriousness ratings present in PDDI knowledge bases. We extended the DIDEO ontology with 44 formal evidence type definitions. We then manually annotated the evidence types of 30 evidence items. We tested an RDF/OWL representation of answers to a small number of simple questions about each of these 30 evidence items and showed that automatic inference can determine the detailed evidence types based on this small number of simpler questions. These results show proof-of-concept for a decision support infrastructure that frees the evidence evaluator from mastering relatively complex written evidence type definitions.
Evidence-based medicine meets person-centred care: a collaborative perspective on the relationship.
Price, Amy I; Djulbegovic, Ben; Biswas, Rakesh; Chatterjee, Pranab
2015-12-01
In a recent list-serve, the way forward for evidence-based medicine was discussed. The purpose of this paper was to share the reflections and multiple perspectives discussed in this peer-to-peer encounter and to invite the reader to think with a mind for positive change in the practice of health care. Let us begin with a simple question. What if we dared to look at evidence-based medicine (EBM) and informed shared decision making like two wheels on a bike? They both need to be full of substance, well connected, lubricated and working in balance, propelled and guided by a competent driver, with good vision to get the bike where we want it to go. We need all the tools in the toolkit for the bike to stay operational and to meet the needs of the driver. By the same rationale, evidence alone is necessary but not sufficient for decision making; values are necessary and if neglected, may default to feelings based on social pressures and peer influence. Medical decisions, even shared ones, lack focus without evidence and application. Just as a bike may need a tune up from time to time to maintain optimal performance, EBM may benefit from a tune up where we challenge ourselves to move away from general assumptions and traditions and instead think clearly about the issues we face and how to ask well-formed, specific questions to get the answers to meet the needs we face in health care. © 2015 John Wiley & Sons, Ltd.
A Computational Model of Reasoning from the Clinical Literature
Rennels, Glenn D.
1986-01-01
This paper explores the premise that a formalized representation of empirical studies can play a central role in computer-based decision support. The specific motivations underlying this research include the following propositions: 1. Reasoning from experimental evidence contained in the clinical literature is central to the decisions physicians make in patient care. 2. A computational model, based upon a declarative representation for published reports of clinical studies, can drive a computer program that selectively tailors knowledge of the clinical literature as it is applied to a particular case. 3. The development of such a computational model is an important first step toward filling a void in computer-based decision support systems. Furthermore, the model may help us better understand the general principles of reasoning from experimental evidence both in medicine and other domains. Roundsman is a developmental computer system which draws upon structured representations of the clinical literature in order to critique plans for the management of primary breast cancer. Roundsman is able to produce patient-specific analyses of breast cancer management options based on the 24 clinical studies currently encoded in its knowledge base. The Roundsman system is a first step in exploring how the computer can help to bring a critical analysis of the relevant literature to the physician, structured around a particular patient and treatment decision.
Alden, Dana L; Friend, John; Schapira, Marilyn; Stiggelbout, Anne
2014-03-01
Patient decision aids are known to positively impact outcomes critical to shared decision making (SDM), such as gist knowledge and decision preparedness. However, research on the potential improvement of these and other important outcomes through cultural targeting and tailoring of decision aids is very limited. This is the case despite extensive evidence supporting use of cultural targeting and tailoring to improve the effectiveness of health communications. Building on prominent psychological theory, we propose a two-stage framework incorporating cultural concepts into the design process for screening and treatment decision aids. The first phase recommends use of cultural constructs, such as collectivism and individualism, to differentially target patients whose cultures are known to vary on these dimensions. Decision aid targeting is operationalized through use of symbols and values that appeal to members of the given culture. Content dimensions within decision aids that appear particularly appropriate for targeting include surface level visual characteristics, language, beliefs, attitudes and values. The second phase of the framework is based on evidence that individuals vary in terms of how strongly cultural norms influence their approach to problem solving and decision making. In particular, the framework hypothesizes that differences in terms of access to cultural mindsets (e.g., access to interdependent versus independent self) can be measured up front and used to tailor decision aids. Thus, the second phase in the framework emphasizes the importance of not only targeting decision aid content, but also tailoring the information to the individual based on measurement of how strongly he/she is connected to dominant cultural mindsets. Overall, the framework provides a theory-based guide for researchers and practitioners who are interested in using cultural targeting and tailoring to develop and test decision aids that move beyond a "one-size fits all" approach and thereby, improve SDM in our multicultural world. Copyright © 2014 Elsevier Ltd. All rights reserved.
Jackson, Haley; Baker, John; Berzins, Kathyrn
2018-06-22
Mental health policy stipulates seclusion should only be used as an intervention of last resort and for the minimum possible duration. Current evidence details which service users are more likely to be secluded, why they are secluded, and what influences the decision to seclude them. However, very little is known about the decision to release service users from seclusion. An integrative review was undertaken to explore the decision-making processes of mental health professionals which guide the ending of seclusion. The review used a systematic approach to gather and thematically analyse evidence within a framework approach. The twelve articles identified generated one overriding theme, maintaining safety. In addition, several subthemes emerged including the process of risk assessing which was dependent upon interaction and control, mediated by factors external to the service user such as the attitude and experience of staff and the acuity of the environment. Service users were expected to demonstrate compliance with the process ultimately ending in release and reflection. Little evidence exists regarding factors influencing mental health professionals in decisions to release service users from seclusion. There is no evidence-based risk assessment tool, and service users are not routinely involved in the decision to release them. Support from experienced professionals is vital to ensure timely release from seclusion. Greater insight into influences upon decisions to discontinue episodes may support initiatives aimed at reducing durations and use of seclusion. © 2018 Australian College of Mental Health Nurses Inc.
Izcovich, Ariel; Criniti, Juan Martín; Popoff, Federico; Ragusa, Martín Alberto; Gigler, Cristel; Gonzalez Malla, Carlos; Clavijo, Manuela; Manzotti, Matias; Diaz, Martín; Catalano, Hugo Norberto; Neumann, Ignacio; Guyatt, Gordon
2017-08-07
Using the best current evidence to inform clinical decisions remains a challenge for clinicians. Given the scarcity of trustworthy clinical practice guidelines providing recommendations to answer clinicians' daily questions, clinical decision support systems (ie, assistance in question identification and answering) emerge as an attractive alternative. The trustworthiness of the recommendations achieved by such systems is unknown. To evaluate the trustworthiness of a question identification and answering system that delivers timely recommendations. Cross-sectional study. We compared the responses to 100 clinical questions related to inpatient management provided by two rapid response methods with 'Gold Standard' recommendations. One of the rapid methods was based on PubMed and the other on Epistemonikos database. We defined our 'Gold Standard' as trustworthy published evidence-based recommendations or, when unavailable, recommendations developed locally by a panel of six clinicians following the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Recommendations provided by the rapid strategies were classified as potentially misleading or reasonable. We also determined if the potentially misleading recommendations could have been avoided with the appropriate implementation of searching and evidence summary tools. We were able to answer all of the 100 questions with both rapid methods. Of the 200 recommendations obtained, 6.5% (95% CI 3% to 9.9%) were classified as potentially misleading and 93.5% (95% CI 90% to 96.9%) as reasonable. 6 of the 13 potentially misleading recommendations could have been avoided by the appropriate usage of the Epistemonikos matrix tool or by constructing summary of findings tables. No significant differences were observed between the evaluated rapid response methods. A question answering service based on the GRADE approach proved feasible to implement and provided appropriate guidance for most identified questions. Our approach could help stakeholders in charge of managing resources and defining policies for patient care to improve evidence-based decision-making in an efficient and feasible manner. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.
Walker, Sarah Cusworth; Lyon, Aaron R; Aos, Steve; Trupin, Eric W
2017-01-01
As states increasingly establish the importance of evidence-based practice through policy and funding mandates, the definition of evidence-based practice can have a significant impact on investment decisions. Not meeting established criteria can mean a loss of funding for established programs and the implementation disruption of programs without a strong research base. Whether the definition of "evidence-based" is influenced by these high stakes contexts is an interesting question that can inform the larger field about the value and utility of evidence-based practice lists/inventories for disseminating knowledge. In this paper we review the development of the Washington State Inventory of Evidence-Based, Research-Based and Promising Practices as a case study for the process of defining evidence-based practice in a policy context. As part of this study we also present a comparison of other well-known evidence-based practice inventories and examine consistencies and differences in the process of identifying and developing program ratings.
ERIC Educational Resources Information Center
Hale, Sylvie; Dunn, Lenay; Filby, Nikola; Rice, John; Van Houten, Lori
2017-01-01
One of the broad intents of the Elementary and Secondary Education Act (ESEA) as amended by the Every Student Succeeds Act (ESSA) is to encourage evidence-based decision-making as a way of doing business. Nonregulatory guidance issued in September 2016 by the U.S. Department of Education (ED) clarifies and expands on both the nature of…
Ware, Robert E; Francis, Hilton W; Read, Kenneth E
2004-06-21
The Commonwealth Government constituted the Medicare Services Advisory Committee (MSAC) to implement its commitment to entrench the principles of evidence-based medicine in Australian clinical practice. With its recent review of positron emission tomography (PETReview), the Commonwealth intervened in an established MSAC process, and sanctioned the stated objective to restrict expenditure on the technology. In our opinion: The evaluation of evidence by PETReview was fundamentally compromised by a failure to meet the terms of reference, poor science, poor process and unique decision-making benchmarks. By accepting the recommendations of PETReview, the Commonwealth is propagating information which is not of the highest quality. The use of inferior-quality information for decision-making by doctors, patients and policy-makers is likely to harm rather than enhance healthcare outcomes.
A randomized comparative trial of two decision tools for pregnant women with prior cesareans.
Eden, Karen B; Perrin, Nancy A; Vesco, Kimberly K; Guise, Jeanne-Marie
2014-01-01
Evaluate tools to help pregnant women with prior cesareans make informed decisions about having trials of labor. Randomized comparative trial. A research assistant with a laptop met the women in quiet locations at clinics and at health fairs. Pregnant women (N = 131) who had one prior cesarean and were eligible for vaginal birth after cesarean (VBAC) participated one time between 2005 and 2007. Women were randomized to receive either an evidence-based, interactive decision aid or two evidence-based educational brochures about cesarean delivery and VBAC. Effect on the decision-making process was assessed before and after the interventions. Compared to baseline, women in both groups felt more informed (F = 23.8, p < .001), were more clear about their birth priorities (F = 9.7, p = .002), felt more supported (F = 9.8, p = .002, and overall reported less conflict (F = 18.1, p < 0.001) after receiving either intervention. Women in their third trimesters reported greater clarity around birth priorities after using the interactive decision aid than women given brochures (F = 9.8, p = .003). Although both decision tools significantly reduced conflict around the birth decision compared to baseline, more work is needed to understand which format, the interactive decision aid or paper brochures, are more effective early and late in pregnancy. © 2014 AWHONN, the Association of Women's Health, Obstetric and Neonatal Nurses.
Publishing web-based guidelines using interactive decision models.
Sanders, G D; Nease, R F; Owens, D K
2001-05-01
Commonly used methods for guideline development and dissemination do not enable developers to tailor guidelines systematically to specific patient populations and update guidelines easily. We developed a web-based system, ALCHEMIST, that uses decision models and automatically creates evidence-based guidelines that can be disseminated, tailored and updated over the web. Our objective was to demonstrate the use of this system with clinical scenarios that provide challenges for guideline development. We used the ALCHEMIST system to develop guidelines for three clinical scenarios: (1) Chlamydia screening for adolescent women, (2) antiarrhythmic therapy for the prevention of sudden cardiac death; and (3) genetic testing for the BRCA breast-cancer mutation. ALCHEMIST uses information extracted directly from the decision model, combined with the additional information from the author of the decision model, to generate global guidelines. ALCHEMIST generated electronic web-based guidelines for each of the three scenarios. Using ALCHEMIST, we demonstrate that tailoring a guideline for a population at high-risk for Chlamydia changes the recommended policy for control of Chlamydia from contact tracing of reported cases to a population-based screening programme. We used ALCHEMIST to incorporate new evidence about the effectiveness of implantable cardioverter defibrillators (ICD) and demonstrate that the cost-effectiveness of use of ICDs improves from $74 400 per quality-adjusted life year (QALY) gained to $34 500 per QALY gained. Finally, we demonstrate how a clinician could use ALCHEMIST to incorporate a woman's utilities for relevant health states and thereby develop patient-specific recommendations for BRCA testing; the patient-specific recommendation improved quality-adjusted life expectancy by 37 days. The ALCHEMIST system enables guideline developers to publish both a guideline and an interactive decision model on the web. This web-based tool enables guideline developers to tailor guidelines systematically, to update guidelines easily, and to make the underlying evidence and analysis transparent for users.
Pharmacoeconomic guidelines and their implementation in the positive list system in South Korea.
Bae, Eun Young; Lee, Eui Kyung
2009-01-01
This article reviews the change in the reimbursement and pricing system in South Korea, which was the precursor to the eventual implementation of evidence-based decision-making. There has been pressure on Korea's National Health Insurance system to control its skyrocketing expenditures on drugs. As a result, a series of cost-containment policies have been implemented. The idea of economic evidence-based decision-making was first introduced in Korea in 2001 when the government announced cost-effectiveness as one of the criteria for reimbursement decisions. After this announcement, the Health Insurance Review and Assessment Service (HIRA) developed guidelines, which became the standard for economic evaluations. In 2006, the drug listing system for reimbursement was changed from a negative to a positive system under the drug expenditure rationalization plan. Under this new system, only drugs that are proven economically and clinically valuable can be listed, and applicants have to submit economic evaluation studies to support the cost-effectiveness of their drugs. Once new applications are submitted, HIRA reviews them, and the Drug Reimbursement Evaluation Committee (DREC) decides whether or not to recommend the submitted drugs. In its reimbursement decisions, the DREC considers not only cost-effectiveness but also the availability of therapeutic alternatives, the severity of the condition treated, and the impact on the budget, among other measures. After the introduction of the positive list system, 56% of drugs were determined to be appropriate for reimbursement by the DREC. Despite limited human resources, experience, and quality local data, Korea is continuing to make efforts to establish a system of evidence-based decision-making.
Lurie, Jon D.; Spratt, Kevin F.; Blood, Emily A.; Tosteson, Tor D.; Tosteson, Anna N. A.; Weinstein, James N.
2011-01-01
Study Design Secondary analysis within a large clinical trial Objective To evaluate the changes in treatment preference before and after watching a video decision aid as part of an informed consent process. Summary of Background Data A randomized trial with a similar decision aid in herniated disc patients had shown decreased rate of surgery in the video group, but the effect of the video on expressed preferences is not known. Methods Subjects enrolling in the Spine Patient Outcomes Research Trial (SPORT) with intervertebral disc herniation (IDH), spinal stenosis (SPS), or degenerative spondylolisthesis (DS) at thirteen multidisciplinary spine centers across the US were given an evidence-based videotape decision aid viewed prior to enrollment as part of informed consent. Results Of the 2505 patients, 86% (n=2151) watched the video and 14% (n=354) did not. Watchers shifted their preference more often than non-watchers(37.9% vs. 20.8%, p < 0.0001) and more often demonstrated a strengthened preference (26.2% vs. 11.1%, p < 0.0001). Among the 806 patients whose preference shifted after watching the video, 55% shifted toward surgery (p=0.003). Among the 617 who started with no preference, after the video 27% preferred non-operative care, 22% preferred surgery, and 51% remained uncertain. Conclusion After watching the evidence-based patient decision aid (video) used in SPORT, patients with specific lumbar spine disorders formed and/or strengthened their treatment preferences in a balanced way that did not appear biased toward or away from surgery. PMID:21358485
Informed Decision Making in Maternity Care
Goldberg, Holly
2009-01-01
In the United States, federal acts and regulations, as well as professional guidelines, clearly dictate that every pregnant woman has the right to base her maternity care decisions on accurate, up-to-date, comprehensible information. Despite these efforts, evidence suggests that informed consent within current health-care practice is restricted and inconsistently implemented. Patient access to evidence-based research is imperative under the scope of informed consent and is particularly important during a time when perinatal mortality and morbidity rates, interventions, and disparities are on the rise in the United States. This article describes the Coalition for Improving Maternity Services’ investigation of the breakdown of informed consent in maternity care. PMID:19436598
Buchbinder, Rachelle; Richards, Bethan; Harris, Ian
2014-03-01
Over the last decade, there has been increased recognition of the importance of high-quality randomized controlled trials in determining the role of surgery for knee osteoarthritis. This review highlights key findings from the best available studies, and considers whether or not this knowledge has resulted in better evidence-based care. Use of arthroscopy to treat knee osteoarthritis has not declined despite strong evidence-based recommendations that do not sanction its use. A large randomized controlled trial has demonstrated that arthroscopic partial meniscectomy followed by a standardized physical therapy program results in similar improvements in pain and function at 6 and 12 months in comparison to physical therapy alone in patients with knee osteoarthritis and a symptomatic meniscal tear, confirming the findings of two previous trials. Two recent randomized controlled trials have demonstrated that decision aids help people to reach better-informed decisions about total knee arthroplasty. A majority of studies have indicated that for people with obesity the positive results of total knee arthroplasty may be compromised by postoperative complications, particularly infection. More efforts are needed to overcome significant evidence-practice gaps in the surgical management of knee osteoarthritis, particularly arthroscopy. Decision aids are a promising tool.
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.
ERIC Educational Resources Information Center
Maringe, Felix; Carter, Steve
2007-01-01
Purpose: International students' HE decision making is a high stakes process. There is an insufficient evidence base that would aid university level strategic planning in areas of recruitment from the African continent and in supporting its students to maximise the benefits from a UK HE experience. This paper aims to explore the decision making…
Gebhardt, Brian J; Heron, Dwight E; Beriwal, Sushil
Clinical pathways are patient management plans that standardize evidence-based practices to ensure high-quality and cost-effective medical care. Implementation of a pathway is a collaborative process in our network, requiring the active involvement of physicians. This approach promotes acceptance of pathway recommendations, although a peer review process is necessary to ensure compliance and to capture and approve off-pathway selections. We investigated the peer review process and factors associated with time to completion of peer review. Our cancer center implemented radiation oncology pathways for every disease site throughout a large, integrated network. Recommendations are written based upon national guidelines, published literature, and institutional experience with evidence evaluated hierarchically in order of efficacy, toxicity, and then cost. Physicians enter decisions into an online, menu-driven decision support tool that integrates with medical records. Data were collected from the support tool and included the rate of on- and off-pathway selections, peer review decisions performed by disease site directors, and time to complete peer review. A total of 6965 treatment decisions were entered in 2015, and 605 (8.7%) were made off-pathway and were subject to peer review. The median time to peer review decision was 2 days (interquartile range, 0.2-6.8). Factors associated with time to peer review decision >48 hours on univariate analysis include disease site (P < .0001) with a trend toward significance (P = .066) for radiation therapy modality. There was no difference between recurrent and non-recurrent disease (P = .267). Multivariable analysis revealed disease site was associated with time to peer review (P < .001), with lymphoma and skin/sarcoma most strongly influencing decision time >48 hours. Clinical pathways are an integral tool for standardizing evidence-based care throughout our large, integrated network, with 91.3% of all treatment decisions being made as per pathway. The peer review process was feasible, with <1% selections ultimately rejected, suggesting that awareness of peer review of treatment decisions encourages compliance with clinical pathway recommendations. Copyright © 2017 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Ghaffarzadegan, Navid; Stewart, Thomas R.
2011-01-01
Elwin, Juslin, Olsson, and Enkvist (2007) and Henriksson, Elwin, and Juslin (2010) offered the constructivist coding hypothesis to describe how people code the outcomes of their decisions when availability of feedback is conditional on the decision. They provided empirical evidence only for the 0.5 base rate condition. This commentary argues that…
2013-01-01
Background Patient decision aids support people to make informed decisions between healthcare options. Personal stories provide illustrative examples of others’ experiences and are seen as a useful way to communicate information about health and illness. Evidence indicates that providing information within personal stories affects the judgments and values people have, and the choices they make, differentially from facts presented in non-narrative prose. It is unclear if including narrative communications within patient decision aids enhances their effectiveness to support people to make informed decisions. Methods A survey of primary empirical research employing a systematic review method investigated the effect of patient decision aids with or without a personal story on people’s healthcare judgements and decisions. Searches were carried out between 2005-2012 of electronic databases (Medline, PsycINFO), and reference lists of identified articles, review articles, and key authors. A narrative analysis described and synthesised findings. Results Of 734 citations identified, 11 were included describing 13 studies. All studies found participants’ judgments and/or decisions differed depending on whether or not their decision aid included a patient story. Knowledge was equally facilitated when the decision aids with and without stories had similar information content. Story-enhanced aids may help people recall information over time and/or their motivation to engage with health information. Personal stories affected both “system 1” (e.g., less counterfactual reasoning, more emotional reactions and perceptions) and “system 2” (e.g., more perceived deliberative decision making, more stable evaluations over time) decision-making strategies. Findings exploring associations with narrative communications, decision quality measures, and different levels of literacy and numeracy were mixed. The pattern of findings was similar for both experimental and real-world studies. Conclusions There is insufficient evidence that adding personal stories to decision aids increases their effectiveness to support people’s informed decision making. More rigorous research is required to elicit evidence about the type of personal story that a) encourages people to make more reasoned decisions, b) discourages people from making choices based on another’s values, and c) motivates people equally to engage with healthcare resources. PMID:24625283
1997-09-01
California has made outcomes research a vital priority, as evidence - based medicine will soon dictate breast cancer practice patterns and insurance coverage...results reported to date. I also emphasize outcomes research methodology in an attempt to define treatments guidelines from an evidence - based medicine approach...techniques such as decision analysis, cost- effectiveness, and evidence - based medicine . The goal of the new inpatient service is to optimize the value of
Upshur, R E G; Colak, Errol
2003-01-01
This essay explores the role of informal logic and its application in the context of current debates regarding evidence-based medicine. This aim is achieved through a discussion of the goals and objectives of evidence-based medicine and a review of the criticisms raised against evidence-based medicine. The contributions to informal logic by Stephen Toulmin and Douglas Walton are explicated and their relevance for evidence-based medicine is discussed in relation to a common clinical scenario: hypertension management. This essay concludes with a discussion on the relationship between clinical reasoning, rationality, and evidence. It is argued that informal logic has the virtue of bringing explicitness to the role of evidence in clinical reasoning, and brings sensitivity to understanding the role of dialogical context in the need for evidence in clinical decision making.
Synthesis of qualitative research and evidence-based nursing.
Flemming, Kate
Evidence-based nursing is central to nursing practice. Systematic reviews have played a key part in providing evidence for decision making in nursing. Traditionally, these have consisted of syntheses of randomised controlled trials. New approaches to combining research include the synthesis of qualitative research. This article discusses the development of research synthesis as a method for creating evidence of effectiveness identified in quantitative research; more effective use of primary data; enhancing the generalizability of qualitative research; the identification of future nursing research topics.
Evidence-based medicine in primary care: qualitative study of family physicians
Tracy, C Shawn; Dantas, Guilherme Coelho; Upshur, Ross EG
2003-01-01
Background The objectives of this study were: a) to examine physician attitudes to and experience of the practice of evidence-based medicine (EBM) in primary care; b) to investigate the influence of patient preferences on clinical decision-making; and c) to explore the role of intuition in family practice. Method Qualitative analysis of semi-structured interviews of 15 family physicians purposively selected from respondents to a national survey on EBM mailed to a random sample of Canadian family physicians. Results Participants mainly welcomed the promotion of EBM in the primary care setting. A significant number of barriers and limitations to the implementation of EBM were identified. EBM is perceived by some physicians as a devaluation of the 'art of medicine' and a threat to their professional/clinical autonomy. Issues regarding the trustworthiness and credibility of evidence were of great concern, especially with respect to the influence of the pharmaceutical industry. Attempts to become more evidence-based often result in the experience of conflicts. Patient factors exert a powerful influence on clinical decision-making and can serve as trumps to research evidence. A widespread belief that intuition plays a vital role in primary care reinforced views that research evidence must be considered alongside other factors such as patient preferences and the clinical judgement and experience of the physician. Discussion Primary care physicians are increasingly keen to consider research evidence in clinical decision-making, but there are significant concerns about the current model of EBM. Our findings support the proposed revisions to EBM wherein greater emphasis is placed on clinical expertise and patient preferences, both of which remain powerful influences on physician behaviour. PMID:12740025
Baker-Ericzén, Mary J; Jenkins, Melissa M; Park, Soojin; Garland, Ann F
2015-02-01
Mental health professionals' decision-making practice is an area of increasing interest and importance, especially in the pediatric research and clinical communities. The present study explored the role of prior training in evidence-based treatments on clinicians' assessment and treatment formulations using case vignettes. Specifically, study aims included using the Naturalistic Decision Making (NDM) cognitive theory to 1) examine potential associations between EBT training and decision-making processes (novice versus expert type), and 2) explore how client and family contextual information affects clinical decision-making. Forty-eight clinicians across two groups (EBT trained=14, Not EBT trained=34) participated. Clinicians were comparable on professional experience, demographics, and discipline. The quasi-experimental design used an analog "think aloud" method where clinicians read case vignettes about a child with disruptive behavior problems and verbalized case conceptualization and treatment planning out-loud. Responses were coded according to NDM theory. MANOVA results were significant for EBT training status such that EBT trained clinicians' displayed cognitive processes more closely aligned with "expert" decision-makers and non-EBT trained clinicians' decision processes were more similar to "novice" decision-makers, following NDM theory. Non-EBT trained clinicians assigned significantly more diagnoses, provided less detailed treatment plans and discussed fewer EBTs. Parent/family contextual information also appeared to influence decision-making. This study offers a preliminary investigation of the possible broader impacts of EBT training and potential associations with development of expert decision-making skills. Targeting clinicians' decision-making may be an important avenue to pursue within dissemination-implementation efforts in mental health practice.
Putora, Paul Martin; Oldenburg, Jan
2013-09-19
Occasionally, medical decisions have to be taken in the absence of evidence-based guidelines. Other sources can be drawn upon to fill in the gaps, including experience and intuition. Authorities or experts, with their knowledge and experience, may provide further input--known as "eminence-based medicine". Due to the Internet and digital media, interactions among physicians now take place at a higher rate than ever before. With the rising number of interconnected individuals and their communication capabilities, the medical community is obtaining the properties of a swarm. The way individual physicians act depends on other physicians; medical societies act based on their members. Swarm behavior might facilitate the generation and distribution of knowledge as an unconscious process. As such, "swarm-based medicine" may add a further source of information to the classical approaches of evidence- and eminence-based medicine. How to integrate swarm-based medicine into practice is left to the individual physician, but even this decision will be influenced by the swarm.
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.
Harris, Claire; Garrubba, Marie; Melder, Angela; Voutier, Catherine; Waller, Cara; King, Richard; Ramsey, Wayne
2018-03-02
This is the eighth in a series of papers reporting Sustainability in Health care by Allocating Resources Effectively (SHARE) in a local healthcare setting. The SHARE Program was a systematic, integrated, evidence-based program for disinvestment within a large Australian health service. One of the aims was to explore methods to deliver existing high quality synthesised evidence directly to decision-makers to drive decision-making proactively. An Evidence Dissemination Service (EDS) was proposed. While this was conceived as a method to identify disinvestment opportunities, it became clear that it could also be a way to review all practices for consistency with current evidence. This paper reports the development, implementation and evaluation of two models of an in-house EDS. Frameworks for development of complex interventions, implementation of evidence-based change, and evaluation and explication of processes and outcomes were adapted and/or applied. Mixed methods including a literature review, surveys, interviews, workshops, audits, document analysis and action research were used to capture barriers, enablers and local needs; identify effective strategies; develop and refine proposals; ascertain feedback and measure outcomes. Methods to identify, capture, classify, store, repackage, disseminate and facilitate use of synthesised research evidence were investigated. In Model 1, emails containing links to multiple publications were sent to all self-selected participants who were asked to determine whether they were the relevant decision-maker for any of the topics presented, whether change was required, and to take the relevant action. This voluntary framework did not achieve the aim of ensuring practice was consistent with current evidence. In Model 2, the need for change was established prior to dissemination, then a summary of the evidence was sent to the decision-maker responsible for practice in the relevant area who was required to take appropriate action and report the outcome. This mandatory governance framework was successful. The factors influencing decisions, processes and outcomes were identified. An in-house EDS holds promise as a method of identifying disinvestment opportunities and/or reviewing local practice for consistency with current evidence. The resource-intensive nature of delivery of the EDS is a potential barrier. The findings from this study will inform further exploration.
Understandings of the nature of science and decision making on science and technology based issues
NASA Astrophysics Data System (ADS)
Bell, Randy L.; Lederman, Norman G.
2003-05-01
The purpose of this investigation was to explicate the role of the nature of science in decision making on science and technology based issues and to delineate factors and reasoning associated with these types of decisions. Twenty-one volunteer participants purposively selected from the faculty of geographically diverse universities completed an open-ended questionnaire and follow-up interview designed to assess their decision making on science and technology based issues. Participants were subsequently placed in one of two groups based upon their divergent views of the nature of science as assessed by a second open-ended questionnaire and follow-up interview. Profiles of each group's decision making were then constructed, based on participants' previous responses to the decision making questionnaire and follow-up interviews. Finally, the two groups' decisions, decision influencing factors, and decision making strategies were compared. No differences were found between the decisions of the two groups, despite their disparate views of the nature of science. Participants in both groups based their decisions primarily on personal values, morals/ethics, and social concerns. While all participants considered scientific evidence in their decision making, most did not require absolute proof, even though many participants held absolute conceptions of the nature of science. Overall, the nature of science did not figure prominently in either group's decisions. These findings contrast with basic assumptions of current science education reform efforts and call for a re-examination of the goals of nature of science instruction. Developing better decision making skills - even on science and technology based issues - may involve other factors, including more value-based instruction and attention to intellectual/moral development.
Value of information analysis in healthcare: a review of principles and applications.
Tuffaha, Haitham W; Gordon, Louisa G; Scuffham, Paul A
2014-06-01
Economic evaluations are increasingly utilized to inform decisions in healthcare; however, decisions remain uncertain when they are not based on adequate evidence. Value of information (VOI) analysis has been proposed as a systematic approach to measure decision uncertainty and assess whether there is sufficient evidence to support new technologies. The objective of this paper is to review the principles and applications of VOI analysis in healthcare. Relevant databases were systematically searched to identify VOI articles. The findings from the selected articles were summarized and narratively presented. Various VOI methods have been developed and applied to inform decision-making, optimally designing research studies and setting research priorities. However, the application of this approach in healthcare remains limited due to technical and policy challenges. There is a need to create more awareness about VOI analysis, simplify its current methods, and align them with the needs of decision-making organizations.
A Bayesian paradigm for decision-making in proof-of-concept trials.
Pulkstenis, Erik; Patra, Kaushik; Zhang, Jianliang
2017-01-01
Decision-making is central to every phase of drug development, and especially at the proof of concept stage where risk and evidence must be weighed carefully, often in the presence of significant uncertainty. The decision to proceed or not to large expensive Phase 3 trials has significant implications to both patients and sponsors alike. Recent experience has shown that Phase 3 failure rates remain high. We present a flexible Bayesian quantitative decision-making paradigm that evaluates evidence relative to achieving a multilevel target product profile. A framework for operating characteristics is provided that allows the drug developer to design a proof-of-concept trial in light of its ability to support decision-making rather than merely achieve statistical significance. Operating characteristics are shown to be superior to traditional p-value-based methods. In addition, discussion related to sample size considerations, application to interim futility analysis and incorporation of prior historical information is evaluated.
Berger, Marc L; Martin, Bradley C; Husereau, Don; Worley, Karen; Allen, Dan; Yang, Winnie; Mullins, C. Daniel; Kahler, Kristijan; Quon, Nicole C.; Devine, Scott; Graham, John; Cannon, Eric; Crown, William
2014-01-01
Evidence-based healthcare decisions are best informed by comparisons of all relevant interventions used to treat conditions in specific patient populations. Observational studies are being performed to help fill evidence gaps. However, widespread adoption of evidence from observational studies has been limited due to a variety of factors, including the lack of consensus regarding accepted principles for their evaluation and interpretation. Two Task Forces were formed to develop questionnaires to assist decision makers in evaluating observational studies, with one Task Force addressing retrospective research and the other prospective research. The intent was to promote a structured approach to reduce the potential for subjective interpretation of evidence and drive consistency in decision-making. Separately developed questionnaires were combined into a single questionnaire consisting of 33 items. These were divided into two domains: relevance and credibility. Relevance addresses the extent to which findings, if accurate, apply to the setting of interest to the decision maker. Credibility addresses the extent to which the study findings accurately answer the study question. The questionnaire provides a guide for assessing the degree of confidence that should be placed from observational studies and promotes awareness of the subtleties involved in evaluating those. PMID:24636373
Factors influencing the clinical decision-making of midwives: a qualitative study.
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.
ERIC Educational Resources Information Center
Klingbeil, David A.; Fischer, Aaron J.; Renshaw, Tyler L.; Bloomfield, Bradley S.; Polakoff, Ben; Willenbrink, Jessica B.; Copek, Rebecca A.; Chan, Kai Tai
2017-01-01
The popularity of mindfulness-based interventions (MBIs) is growing rapidly in schools. Decisions regarding the use of these interventions must be based on empirical evidence. There is robust evidence for the use of MBIs with adults, but research on MBIs with youth is nascent. The purpose of this meta-analytic review was to add to the literature…
Eckard, Nathalie; Janzon, Magnus; Levin, Lars-Åke
2014-01-01
Background: The inclusion of cost-effectiveness data, as a basis for priority setting rankings, is a distinguishing feature in the formulation of the Swedish national guidelines. Guidelines are generated with the direct intent to influence health policy and support decisions about the efficient allocation of scarce healthcare resources. Certain medical conditions may be given higher priority rankings i.e. given more resources than others, depending on how serious the medical condition is. This study investigated how a decision-making group, the Priority Setting Group (PSG), used cost-effectiveness data in ranking priority setting decisions in the national guidelines for heart diseases. Methods: A qualitative case study methodology was used to explore the use of such data in ranking priority setting healthcare decisions. The study addressed availability of cost-effectiveness data, evidence understanding, interpretation difficulties, and the reliance on evidence. We were also interested in the explicit use of data in ranking decisions, especially in situations where economic arguments impacted the reasoning behind the decisions. Results: This study showed that cost-effectiveness data was an important and integrated part of the decision-making process. Involvement of a health economist and reliance on the data facilitated the use of cost-effectiveness data. Economic arguments were used both as a fine-tuning instrument and a counterweight for dichotomization. Cost-effectiveness data were used when the overall evidence base was weak and the decision-makers had trouble making decisions due to lack of clinical evidence and in times of uncertainty. Cost-effectiveness data were also used for decisions on the introduction of new expensive medical technologies. Conclusion: Cost-effectiveness data matters in decision-making processes and the results of this study could be applicable to other jurisdictions where health economics is implemented in decision-making. This study contributes to knowledge on how cost-effectiveness data is used in actual decision-making, to ensure that the decisions are offered on equal terms and that patients receive medical care according their needs in order achieve maximum benefit. PMID:25396208
ERIC Educational Resources Information Center
Wendt, Oliver; Miller, Bridget
2012-01-01
Critical appraisal of the research literature is an essential step in informing and implementing evidence-based practice. Quality appraisal tools that assess the methodological quality of experimental studies provide a means to identify the most rigorous research suitable for evidence-based decision-making. In single-subject experimental research,…
ERIC Educational Resources Information Center
Collins, Ashleigh; Burkhauser, Mary
2008-01-01
The implementation of high-quality evidence-based practices cannot occur without facilitative administration, systems-level partnerships, and decision-support data systems. The authors believe that understanding "what works" in program "implementation" is just as important as understanding "what works" in a program "model." Recently, researchers…
The Technology of Evidence-Based Practice: Tools for Navigating the Health Sciences Literature
ERIC Educational Resources Information Center
Townsend, Whitney
2011-01-01
Medical and health sciences libraries have incorporated the elements of evidence-based practice (EBP) into their reference services, instruction, and online resource development for years. While EBP focuses on the use of medical and health sciences literature in the clinical environment (i.e., making decisions about how to treat a particular…
ERIC Educational Resources Information Center
Spek, B.; Wieringa-de Waard, M.; Lucas, C.; van Dijk, N.
2013-01-01
Background: The importance and value of the principles of evidence-based practice (EBP) in the decision-making process is recognized by speech-language therapists (SLTs) worldwide and as a result curricula for speech-language therapy students incorporated EBP principles. However, the willingness actually to use EBP principles in their future…
Why evidence-based medicine is a good approach in physical and rehabilitation medicine. Thesis.
Negrini, S
2014-10-01
According to a good definition, evidence-based medicine (EBM) is: "The explicit, conscientious, and judicious use of the current best evidence in making decisions about the care of individual patients (and populations)". More appropriate in a clinical context like that of physical and rehabilitation medicine (PRM) is looking at evidence based clinical practice (EBCP), whose definition is: "The integration of best research evidence with clinical expertise and patient values". In the past the term evidence-based physical and rehabilitation medicine (EBPRM) was also proposed. In this thesis, after some historical notes on EBM and on PRM, we will discuss why in our view EBPRM must be the real foundation of our everyday PRM clinical practice.
Evidence-Based Practice: Separating Science From Pseudoscience
Lee, Catherine M; Hunsley, John
2015-01-01
Evidence-based practice (EBP) requires that clinicians be guided by the best available evidence. In this article, we address the impact of science and pseudoscience on psychotherapy in psychiatric practice. We describe the key principles of evidence-based intervention. We describe pseudoscience and provide illustrative examples of popular intervention practices that have not been abandoned, despite evidence that they are not efficacious and may be harmful. We distinguish efficacy from effectiveness, and describe modular approaches to treatment. Reasons for the persistence of practices that are not evidence based are examined at both the individual and the professional system level. Finally, we offer suggestions for the promotion of EBP through clinical practice guidelines, modelling of scientific decision making, and training in core skills. PMID:26720821
Evidence-Based Practice: Separating Science From Pseudoscience.
Lee, Catherine M; Hunsley, John
2015-12-01
Evidence-based practice (EBP) requires that clinicians be guided by the best available evidence. In this article, we address the impact of science and pseudoscience on psychotherapy in psychiatric practice. We describe the key principles of evidence-based intervention. We describe pseudoscience and provide illustrative examples of popular intervention practices that have not been abandoned, despite evidence that they are not efficacious and may be harmful. We distinguish efficacy from effectiveness, and describe modular approaches to treatment. Reasons for the persistence of practices that are not evidence based are examined at both the individual and the professional system level. Finally, we offer suggestions for the promotion of EBP through clinical practice guidelines, modelling of scientific decision making, and training in core skills.
ERIC Educational Resources Information Center
Fosmire, Michael
2017-01-01
Engineering designers must make evidence-based decisions when applying the practical tools and techniques of their discipline to human problems. Information literacy provides a structure for determining information gaps, locating appropriate and relevant information, applying that information effectively, and documenting and managing the knowledge…
76 FR 66969 - Aaron Gloskowski, D.O.; Decision and Order
Federal Register 2010, 2011, 2012, 2013, 2014
2011-10-28
... this Decision and Final Order based on relevant evidence contained in the record submitted by the... of Osteopathic Examiners in Medicine and Surgery (hereinafter, the Board), Registrant is without authority to practice medicine or handle controlled substances in the State of Arizona, the State in which...
Banca, Paula; Vestergaard, Martin D; Rankov, Vladan; Baek, Kwangyeol; Mitchell, Simon; Lapa, Tatyana; Castelo-Branco, Miguel; Voon, Valerie
2015-03-13
The compulsive behaviour underlying obsessive-compulsive disorder (OCD) may be related to abnormalities in decision-making. The inability to commit to ultimate decisions, for example, patients unable to decide whether their hands are sufficiently clean, may reflect failures in accumulating sufficient evidence before a decision. Here we investigate the process of evidence accumulation in OCD in perceptual discrimination, hypothesizing enhanced evidence accumulation relative to healthy volunteers. Twenty-eight OCD patients and thirty-five controls were tested with a low-level visual perceptual task (random-dot-motion task, RDMT) and two response conflict control tasks. Regression analysis across different motion coherence levels and Hierarchical Drift Diffusion Modelling (HDDM) were used to characterize response strategies between groups in the RDMT. Patients required more evidence under high uncertainty perceptual contexts, as indexed by longer response time and higher decision boundaries. HDDM, which defines a decision when accumulated noisy evidence reaches a decision boundary, further showed slower drift rate towards the decision boundary reflecting poorer quality of evidence entering the decision process in patients under low uncertainty. With monetary incentives emphasizing speed and penalty for slower responses, patients decreased the decision thresholds relative to controls, accumulating less evidence in low uncertainty. These findings were unrelated to visual perceptual deficits and response conflict. This study provides evidence for impaired decision-formation processes in OCD, with a differential influence of high and low uncertainty contexts on evidence accumulation (decision threshold) and on the quality of evidence gathered (drift rates). It further emphasizes that OCD patients are sensitive to monetary incentives heightening speed in the speed-accuracy tradeoff, improving evidence accumulation.
Identifying and Evaluating External Validity Evidence for Passing Scores
ERIC Educational Resources Information Center
Davis-Becker, Susan L.; Buckendahl, Chad W.
2013-01-01
A critical component of the standard setting process is collecting evidence to evaluate the recommended cut scores and their use for making decisions and classifying students based on test performance. Kane (1994, 2001) proposed a framework by which practitioners can identify and evaluate evidence of the results of the standard setting from (1)…
The judgement process in evidence-based medicine and health technology assessment.
Kelly, Michael P; Moore, Tessa A
2012-02-01
This article describes the judgements used to interpret evidence in evidence-based medicine (EBM) and health technology assessment (HTA). It outlines the methods and processes of EBM and HTA. Respectively, EBM and HTA are approaches to medical clinical decision making and efficient allocation of scarce health resources. At the heart of both is a concern to review and synthesise evidence, especially evidence derived from randomised controlled trials (RCTs) of clinical effectiveness. The driver of the approach of both is a desire to eliminate, or at least reduce, bias. The hierarchy of evidence, which is used as an indicator of the likelihood of bias, features heavily in the process and methods of EBM and HTA. The epistemological underpinnings of EBM and HTA are explored with particular reference to the distinction between rationalism and empiricism, developed by the philosopher David Hume and elaborated by Immanuel Kant in the Critique of Pure Reason. The importance of Humian and Kantian principles for understanding the projects of EBM and HTA is considered and the ways in which decisions are made in both, within a judgemental framework originally outlined by Kant, are explored.
Chambers, Duncan; Wilson, Paul
2012-07-09
We have developed a framework for translating existing sources of synthesized and quality-assessed evidence, primarily systematic reviews, into actionable messages in the form of short accessible briefings. The service aims to address real-life problems in response to requests from decision-makers.Development of the framework was based on a scoping review of existing resources and our initial experience with two briefing topics, including models of service provision for young people with eating disorders. We also drew on previous experience in dissemination research and practice. Where appropriate, we made use of the SUPporting POlicy relevant Reviews and Trials (SUPPORT) tools for evidence-informed policymaking. To produce a product that it is fit for this purpose it has been necessary to go beyond a traditional summary of the available evidence relating to effectiveness. Briefings have, therefore, included consideration of cost effectiveness, local applicability, implications relating to local service delivery, budgets, implementation and equity. Our first evidence briefings produced under this framework cover diagnostic endoscopy by specialist nurses and integrated care pathways in mental healthcare settings. The framework will enable researchers to present and contextualize evidence from systematic reviews and other sources of synthesized and quality-assessed evidence. The approach is designed to address the wide range of questions of interest to decision-makers, especially those commissioning services or managing service delivery and organization in primary or secondary care. Evaluation of the use and usefulness of the evidence briefings we produce is an integral part of the framework and will help to fill a gap in the literature.
Iglesias, Cynthia P; Drummond, Michael F; Rovira, Joan
2005-01-01
The use of economic evaluation studies (EE) in the decision-making process within the health-care system of nine Latin American (LA) and three European countries was investigated. The aim was to identify the opportunities, obstacles, and changes needed to facilitate the introduction of EE as a formal tool in health-care decision-making processes in LA. A comparative study was conducted based on existing literature and information provided through a questionnaire applied to decision makers in Argentina, Brazil, Colombia, Cuba, Mexico, Nicaragua, Peru, Portugal Spain, United Kingdom, Uruguay, and Venezuela. Systematic electronic searches of HEED, NHS EED, and LILACS were conducted to identify published economic evaluation studies in LA from 1982 onward. There is relatively little evidence of the conduct and use of EE within the health care systems in LA. Electronic searches retrieved 554 records; however, only 93 were EE. In the nine LA participating countries, broad allocation of health-care resources is primarily based on political criteria, historical records, geographical areas, and specific groups of patients and diseases. Public-health provision and inclusion of services in health-insurance package are responsibilities of the Ministry of Health. Decisions regarding the purchase of medicines are primarily made through public tenders, and mainly based on differences in clinical efficacy and the price of health technologies of interest. To expedite the process of incorporating EE as a formal tool to inform decision-making processes within the health-care systems in LA countries, two main conditions need to be fulfilled. First, adequate resources and skills need to be available to conduct EE of good quality. Second, decision-making procedures need to be modified to accommodate "evidence-based" approaches such as EE.
Meta-analysis in evidence-based healthcare: a paradigm shift away from random effects is overdue.
Doi, Suhail A R; Furuya-Kanamori, Luis; Thalib, Lukman; Barendregt, Jan J
2017-12-01
Each year up to 20 000 systematic reviews and meta-analyses are published whose results influence healthcare decisions, thus making the robustness and reliability of meta-analytic methods one of the world's top clinical and public health priorities. The evidence synthesis makes use of either fixed-effect or random-effects statistical methods. The fixed-effect method has largely been replaced by the random-effects method as heterogeneity of study effects led to poor error estimation. However, despite the widespread use and acceptance of the random-effects method to correct this, it too remains unsatisfactory and continues to suffer from defective error estimation, posing a serious threat to decision-making in evidence-based clinical and public health practice. We discuss here the problem with the random-effects approach and demonstrate that there exist better estimators under the fixed-effect model framework that can achieve optimal error estimation. We argue for an urgent return to the earlier framework with updates that address these problems and conclude that doing so can markedly improve the reliability of meta-analytical findings and thus decision-making in healthcare.
Shah, Bhartesh A; Qureshi, Muhammad M; Jalisi, Scharukh; Grillone, Gregory; Salama, Andrew; Cooley, Timothy; Zaner, Ken; Sakai, Osamu; Truong, Minh Tam
2016-01-01
To evaluate incorporation of National Cancer Comprehensive Network (NCCN) guidelines in decision making at a head and neck cancer (HNC) multidisciplinary tumor board (MDT) at an urban academic medical center. A retrospective study of 176 HNC patients was performed. The extent to which MDT decisions and subsequent patient care incorporate NCCN guidelines was evaluated. A total of 173 (98.3%) HNC patients received MDT recommendations according to NCCN guidelines. Of the 159 patients treated, 153 (96.2%) received treatment according to NCCN guidelines. The MDT recommended the highest available evidence-based NCCN category guideline in 78.0%. Subsequent treatment using the same or higher category MDT recommendation occurred in 87.0% of patients. Evaluation of patients at an MDT using NCCN guidelines incorporates the highest level of evidence in approximately 80% of patients and translates well into subsequent care. Incorporation of the highest available NCCN guideline may be improved, although management should be individualized. Copyright © 2016 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.
Triñanes, Yolanda; Atienza, Gerardo; Louro-González, Arturo; de-las-Heras-Liñero, Elena; Alvarez-Ariza, María; Palao, Diego J
2015-01-01
One of the proposals for improving clinical practice is to introduce computerised decision support systems (CDSS) and integrate these with electronic medical records. Accordingly, this study sought to systematically review evidence on the effectiveness of CDSS in the management of depression. A search was performed in Medline, EMBASE and PsycInfo, in order to do this. The quality of quantitative studies was assessed using the SIGN method, and qualitative studies using the CASPe checklist. Seven studies were identified (3 randomised clinical trials, 3 non-randomised trials, and one qualitative study). The CDSS assessed incorporated content drawn from guidelines and other evidence-based products. In general, the CDSS had a positive impact on different aspects, such as the screening and diagnosis, treatment, improvement in depressive symptoms and quality of life, and referral of patients. The use of CDSS could thus serve to optimise care of depression in various scenarios by providing recommendations based on the best evidence available and facilitating decision-making in clinical practice. Copyright © 2014 SEP y SEPB. Published by Elsevier España. All rights reserved.
Rishniw, Mark; Pion, Paul D
2011-07-01
Feline hypertrophic cardiomyopathy (HCM) is the most common cardiac disease of cats. Treatment of HCM is usually directed at controlling signs of congestive heart failure (CHF), preventing occurrence or recurrence of systemic thromboembolism or delaying/preventing/reversing progression of subclinical disease. Despite the laudable goals of therapy, however, little objective evidence supporting therapeutic decisions has been published. We, therefore, hypothesized that cardiologists base their treatment strategies on information other than published clinically relevant science. To gain insight into therapeutic decisions that cardiologists and clinicians with an interest in cardiology (n=99) make for cats with HCM, and on what information they base these decisions, we presented participants with, and asked them to select therapy for, 12 hypothetical scenarios of HCM (± CHF). Responses and justifications for treatment choices were compiled and compared with the results of a comprehensive literature search for published information about treatment of feline HCM. Evaluation of the therapeutic strategies chosen for these hypothetical cases of HCM suggests that cardiologists or clinicians with a strong interest in cardiology often prescribe treatments knowing that little documented evidence supports their decisions. Copyright © 2011 ISFM and AAFP. Published by Elsevier Ltd. All rights reserved.
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
Retrospective revaluation in sequential decision making: a tale of two systems.
Gershman, Samuel J; Markman, Arthur B; Otto, A Ross
2014-02-01
Recent computational theories of decision making in humans and animals have portrayed 2 systems locked in a battle for control of behavior. One system--variously termed model-free or habitual--favors actions that have previously led to reward, whereas a second--called the model-based or goal-directed system--favors actions that causally lead to reward according to the agent's internal model of the environment. Some evidence suggests that control can be shifted between these systems using neural or behavioral manipulations, but other evidence suggests that the systems are more intertwined than a competitive account would imply. In 4 behavioral experiments, using a retrospective revaluation design and a cognitive load manipulation, we show that human decisions are more consistent with a cooperative architecture in which the model-free system controls behavior, whereas the model-based system trains the model-free system by replaying and simulating experience.
EBM, HTA, and CER: clearing the confusion.
Luce, Bryan R; Drummond, Michael; Jönsson, Bengt; Neumann, Peter J; Schwartz, J Sanford; Siebert, Uwe; Sullivan, Sean D
2010-06-01
The terms evidence-based medicine (EBM), health technology assessment (HTA), comparative effectiveness research (CER), and other related terms lack clarity and so could lead to miscommunication, confusion, and poor decision making. The objective of this article is to clarify their definitions and the relationships among key terms and concepts. This article used the relevant methods and policy literature as well as the websites of organizations engaged in evidence-based activities to develop a framework to explain the relationships among the terms EBM, HTA, and CER. This article proposes an organizing framework and presents a graphic demonstrating the differences and relationships among these terms and concepts. More specific terminology and concepts are necessary for an informed and clear public policy debate. They are even more important to inform decision making at all levels and to engender more accountability by the organizations and individuals responsible for these decisions.
Petrova, Dafina; Garcia-Retamero, Rocio; Cokely, Edward T
2015-10-01
Decisions about cancer screenings often involve the consideration of complex and counterintuitive evidence. We investigated psychological factors that promote the comprehension of benefits and harms associated with common cancer screenings and their influence on shared decision making. In experiment 1, 256 men received information about PSA-based prostate cancer screening. In experiment 2, 355 women received information about mammography-based breast cancer screening. In both studies, information about potential screening outcomes was provided in 1 of 3 formats: text, a fact box, or a visual aid (e.g., mortality with and without screening and rate of overdiagnosis). We modeled the interplay of comprehension, perceived risks and benefits, intention to participate in screening, and desire for shared decision making. Generally, visual aids were the most effective format, increasing comprehension by up to 18%. Improved comprehension was associated with 1) superior decision making (e.g., fewer intentions to participate in screening when it offered no benefit) and 2) more desire to share in decision making. However, comprehension of the evidence had a limited effect on experienced emotions, risk perceptions, and decision making among those participants who felt that the consequences of cancer were extremely severe. Even when information is counterintuitive and requires the integration of complex harms and benefits, user-friendly risk communications can facilitate comprehension, improve high-stakes decisions, and promote shared decision making. However, previous beliefs about the effectiveness of screening or strong fears about specific cancers may interfere with comprehension and informed decision making. © The Author(s) 2015.
From Population Databases to Research and Informed Health Decisions and Policy.
Machluf, Yossy; Tal, Orna; Navon, Amir; Chaiter, Yoram
2017-01-01
In the era of big data, the medical community is inspired to maximize the utilization and processing of the rapidly expanding medical datasets for clinical-related and policy-driven research. This requires a medical database that can be aggregated, interpreted, and integrated at both the individual and population levels. Policymakers seek data as a lever for wise, evidence-based decision-making and information-driven policy. Yet, bridging the gap between data collection, research, and policymaking, is a major challenge. To bridge this gap, we propose a four-step model: (A) creating a conjoined task force of all relevant parties to declare a national program to promote collaborations; (B) promoting a national digital records project, or at least a network of synchronized and integrated databases, in an accessible transparent manner; (C) creating an interoperative national research environment to enable the analysis of the organized and integrated data and to generate evidence; and (D) utilizing the evidence to improve decision-making, to support a wisely chosen national policy. For the latter purpose, we also developed a novel multidimensional set of criteria to illuminate insights and estimate the risk for future morbidity based on current medical conditions. Used by policymakers, providers of health plans, caregivers, and health organizations, we presume this model will assist transforming evidence generation to support the design of health policy and programs, as well as improved decision-making about health and health care, at all levels: individual, communal, organizational, and national.
[Application of evidence based medicine to the individual patient: the role of decision analysis].
Housset, B; Junod, A F
2003-11-01
The objective of evidence based medicine (EBM) is to contribute to medical decision making by providing the best possible information in terms of validity and relevance. This allows evaluation in a specific manner of the benefits and risks of a decision. The limitations and hazards of this approach are discussed in relation to a clinical case where the diagnosis of pulmonary embolism was under consideration. The individual details and the limited availability of some technical procedures illustrate the need to adapt the data of EBM to the circumstances. The choice between two diagnostic tests (d-dimers and ultrasound of the legs) and their optimal timing is analysed with integration of the consequences for the patient of the treatments proposed. This allows discussion of the concept of utility and the use of sensitivity analysis. If EBM is the cornerstone of rational and explicit practise it should also allow for the constraints of real life. Decision analysis, which depends on the same critical demands as EBM but can also take account of the individual features of each patient and test the robustness of a decision, gives a unique opportunity reconcile rigorous reasoning with individualisation of management.
Decision-making in schizophrenia: A predictive-coding perspective.
Sterzer, Philipp; Voss, Martin; Schlagenhauf, Florian; Heinz, Andreas
2018-05-31
Dysfunctional decision-making has been implicated in the positive and negative symptoms of schizophrenia. Decision-making can be conceptualized within the framework of hierarchical predictive coding as the result of a Bayesian inference process that uses prior beliefs to infer states of the world. According to this idea, prior beliefs encoded at higher levels in the brain are fed back as predictive signals to lower levels. Whenever these predictions are violated by the incoming sensory data, a prediction error is generated and fed forward to update beliefs encoded at higher levels. Well-documented impairments in cognitive decision-making support the view that these neural inference mechanisms are altered in schizophrenia. There is also extensive evidence relating the symptoms of schizophrenia to aberrant signaling of prediction errors, especially in the domain of reward and value-based decision-making. Moreover, the idea of altered predictive coding is supported by evidence for impaired low-level sensory mechanisms and motor processes. We review behavioral and neural findings from these research areas and provide an integrated view suggesting that schizophrenia may be related to a pervasive alteration in predictive coding at multiple hierarchical levels, including cognitive and value-based decision-making processes as well as sensory and motor systems. We relate these findings to decision-making processes and propose that varying degrees of impairment in the implicated brain areas contribute to the variety of psychotic experiences. Copyright © 2018 Elsevier Inc. All rights reserved.
Interventions to Modify Health Care Provider Adherence to Asthma Guidelines: A Systematic Review
Okelo, Sande O.; Butz, Arlene M.; Sharma, Ritu; Diette, Gregory B.; Pitts, Samantha I.; King, Tracy M.; Linn, Shauna T.; Reuben, Manisha; Chelladurai, Yohalakshmi
2013-01-01
BACKGROUND AND OBJECTIVE: Health care provider adherence to asthma guidelines is poor. The objective of this study was to assess the effect of interventions to improve health care providers’ adherence to asthma guidelines on health care process and clinical outcomes. METHODS: Data sources included Medline, Embase, Cochrane CENTRAL Register of Controlled Trials, Cumulative Index to Nursing and Allied Health Literature, Educational Resources Information Center, PsycINFO, and Research and Development Resource Base in Continuing Medical Education up to July 2012. Paired investigators independently assessed study eligibility. Investigators abstracted data sequentially and independently graded the evidence. RESULTS: Sixty-eight eligible studies were classified by intervention: decision support, organizational change, feedback and audit, clinical pharmacy support, education only, quality improvement/pay-for-performance, multicomponent, and information only. Half were randomized trials (n = 35). There was moderate evidence for increased prescriptions of controller medications for decision support, feedback and audit, and clinical pharmacy support and low-grade evidence for organizational change and multicomponent interventions. Moderate evidence supports the use of decision support and clinical pharmacy interventions to increase provision of patient self-education/asthma action plans. Moderate evidence supports use of decision support tools to reduce emergency department visits, and low-grade evidence suggests there is no benefit for this outcome with organizational change, education only, and quality improvement/pay-for-performance. CONCLUSIONS: Decision support tools, feedback and audit, and clinical pharmacy support were most likely to improve provider adherence to asthma guidelines, as measured through health care process outcomes. There is a need to evaluate health care provider-targeted interventions with standardized outcomes. PMID:23979092
Kiani, Roozbeh; Hanks, Timothy D; Shadlen, Michael N
2008-03-19
Decisions about sensory stimuli are often based on an accumulation of evidence in time. When subjects control stimulus duration, the decision terminates when the accumulated evidence reaches a criterion level. Under many natural circumstances and in many laboratory settings, the environment, rather than the subject, controls the stimulus duration. In these settings, it is generally assumed that subjects commit to a choice at the end of the stimulus stream. Indeed, failure to benefit from the full stream of information is interpreted as a sign of imperfect accumulation or memory leak. Contrary to these assumptions, we show that monkeys performing a direction discrimination task commit to a choice when the accumulated evidence reaches a threshold level (or bound), sometimes long before the end of stimulus. This bounded accumulation of evidence is reflected in the activity of neurons in the lateral intraparietal cortex. Thus, the readout of visual cortex embraces a termination rule to limit processing even when potentially useful information is available.
A Decision Fusion Framework for Treatment Recommendation Systems.
Mei, Jing; Liu, Haifeng; Li, Xiang; Xie, Guotong; Yu, Yiqin
2015-01-01
Treatment recommendation is a nontrivial task--it requires not only domain knowledge from evidence-based medicine, but also data insights from descriptive, predictive and prescriptive analysis. A single treatment recommendation system is usually trained or modeled with a limited (size or quality) source. This paper proposes a decision fusion framework, combining both knowledge-driven and data-driven decision engines for treatment recommendation. End users (e.g. using the clinician workstation or mobile apps) could have a comprehensive view of various engines' opinions, as well as the final decision after fusion. For implementation, we leverage several well-known fusion algorithms, such as decision templates and meta classifiers (of logistic and SVM, etc.). Using an outcome-driven evaluation metric, we compare the fusion engine with base engines, and our experimental results show that decision fusion is a promising way towards a more valuable treatment recommendation.
Changes of mind in an attractor network of decision-making.
Albantakis, Larissa; Deco, Gustavo
2011-06-01
Attractor networks successfully account for psychophysical and neurophysiological data in various decision-making tasks. Especially their ability to model persistent activity, a property of many neurons involved in decision-making, distinguishes them from other approaches. Stable decision attractors are, however, counterintuitive to changes of mind. Here we demonstrate that a biophysically-realistic attractor network with spiking neurons, in its itinerant transients towards the choice attractors, can replicate changes of mind observed recently during a two-alternative random-dot motion (RDM) task. Based on the assumption that the brain continues to evaluate available evidence after the initiation of a decision, the network predicts neural activity during changes of mind and accurately simulates reaction times, performance and percentage of changes dependent on difficulty. Moreover, the model suggests a low decision threshold and high incoming activity that drives the brain region involved in the decision-making process into a dynamical regime close to a bifurcation, which up to now lacked evidence for physiological relevance. Thereby, we further affirmed the general conformance of attractor networks with higher level neural processes and offer experimental predictions to distinguish nonlinear attractor from linear diffusion models.
The Use of Research Evidence in Public Health Decision Making Processes: Systematic Review
Orton, Lois; Lloyd-Williams, Ffion; Taylor-Robinson, David; O'Flaherty, Martin; Capewell, Simon
2011-01-01
Background The use of research evidence to underpin public health policy is strongly promoted. However, its implementation has not been straightforward. The objectives of this systematic review were to synthesise empirical evidence on the use of research evidence by public health decision makers in settings with universal health care systems. Methods To locate eligible studies, 13 bibliographic databases were screened, organisational websites were scanned, key informants were contacted and bibliographies of included studies were scrutinised. Two reviewers independently assessed studies for inclusion, extracted data and assessed methodological quality. Data were synthesised as a narrative review. Findings 18 studies were included: 15 qualitative studies, and three surveys. Their methodological quality was mixed. They were set in a range of country and decision making settings. Study participants included 1063 public health decision makers, 72 researchers, and 174 with overlapping roles. Decision making processes varied widely between settings, and were viewed differently by key players. A range of research evidence was accessed. However, there was no reliable evidence on the extent of its use. Its impact was often indirect, competing with other influences. Barriers to the use of research evidence included: decision makers' perceptions of research evidence; the gulf between researchers and decision makers; the culture of decision making; competing influences on decision making; and practical constraints. Suggested (but largely untested) ways of overcoming these barriers included: research targeted at the needs of decision makers; research clearly highlighting key messages; and capacity building. There was little evidence on the role of research evidence in decision making to reduce inequalities. Conclusions To more effectively implement research informed public health policy, action is required by decision makers and researchers to address the barriers identified in this systematic review. There is an urgent need for evidence to support the use of research evidence to inform public health decision making to reduce inequalities. PMID:21818262
Esene, Ignatius N.; Baeesa, Saleh S.; Ammar, Ahmed
2016-01-01
Medical evidence is obtainable from approaches, which might be descriptive, analytic and integrative and ranked into levels of evidence, graded according to quality and summarized into strengths of recommendation. Sources of evidence range from expert opinions through well-randomized control trials to meta-analyses. The conscientious, explicit, and judicious use of current best evidence in making decisions related to the care of individual patients defines the concept of evidence-based neurosurgery (EBN). We reviewed reference books of clinical epidemiology, evidence-based practice and other previously related articles addressing principles of evidence-based practice in neurosurgery. Based on existing theories and models and our cumulative years of experience and expertise conducting research and promoting EBN, we have synthesized and presented a holistic overview of the concept of EBN. We have also underscored the importance of clinical research and its relationship to EBN. Useful electronic resources are provided. The concept of critical appraisal is introduced. PMID:27356649
Jansen, Jeroen P; Fleurence, Rachael; Devine, Beth; Itzler, Robbin; Barrett, Annabel; Hawkins, Neil; Lee, Karen; Boersma, Cornelis; Annemans, Lieven; Cappelleri, Joseph C
2011-06-01
Evidence-based health-care decision making requires comparisons of all relevant competing interventions. In the absence of randomized, controlled trials involving a direct comparison of all treatments of interest, indirect treatment comparisons and network meta-analysis provide useful evidence for judiciously selecting the best choice(s) of treatment. Mixed treatment comparisons, a special case of network meta-analysis, combine direct and indirect evidence for particular pairwise comparisons, thereby synthesizing a greater share of the available evidence than a traditional meta-analysis. This report from the ISPOR Indirect Treatment Comparisons Good Research Practices Task Force provides guidance on the interpretation of indirect treatment comparisons and network meta-analysis to assist policymakers and health-care professionals in using its findings for decision making. We start with an overview of how networks of randomized, controlled trials allow multiple treatment comparisons of competing interventions. Next, an introduction to the synthesis of the available evidence with a focus on terminology, assumptions, validity, and statistical methods is provided, followed by advice on critically reviewing and interpreting an indirect treatment comparison or network meta-analysis to inform decision making. We finish with a discussion of what to do if there are no direct or indirect treatment comparisons of randomized, controlled trials possible and a health-care decision still needs to be made. Copyright © 2011 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.
Rhudy, Lori M; Tucker, Sharon J; Ofstead, Cori L; Poland, Gregory A
2010-06-01
Nursing interventions are actions taken by nurses to enhance patient outcomes. Little is known about nursing interventions such as influenza vaccination in which the nurse's decision to adopt a health behavior impacts patient outcomes. There is strong evidence that immunization of health care workers (HCWs) against influenza is effective in preventing the spread of this disease and lowers mortality among patients. Yet, worldwide influenza vaccination rates among HCWs are low, with nurse vaccination rates among the lowest. To understand the factors influencing nurses' decision-making about personally receiving immunization against influenza. A qualitative descriptive design in which data were collected using semistructured interviews was used. Participants were 14 RNs who indicated on a prior survey that they were uncertain about, or would not receive an influenza vaccine during the next vaccination season. Data were analyzed using content analysis. The overarching theme is that influenza immunization is a low priority for nurses. Subthemes include a sense of good health, skepticism of the vaccine's value, fear of vaccine side effects, hand washing as prevention, and inconvenient immunization locations. The nurse participants in this study viewed influenza vaccination as a personal health choice, not as an evidence-based nursing intervention. As a result, the decision to decline influenza vaccination was made in the context of personal health choice and/or risk of injury or illness to the nurse. Patient safety outcomes were not expressed as a factor in making the decision to decline influenza vaccination.
Data warehousing: toward knowledge management.
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.
Lynn, Elizabeth; Shakir, Saad
2018-01-01
Objectives To assess the sources of publicly available evidence supporting withdrawal, revocation or suspension of marketing authorisations (‘regulatory actions’) due to safety reasons in the EU since 2012 and to investigate the time taken since initial marketing authorisation to reach these regulatory decisions. Setting This investigation examined the sources of evidence supporting 18 identified prescription medicinal products which underwent regulatory action due to safety reasons within the EU in the period 1 July 2012 to 31 December 2016. Results Eighteen single or combined active substances (‘medicinal products’) withdrawn, revoked or suspended within the EU for safety reasons between 2012 and 2016 met the inclusion criteria. Case reports were most commonly cited, supporting 94.4% of regulatory actions (n=17), followed by randomised controlled trial, meta-analyses, animal and in vitro, ex vivo or in silico study designs, each cited in 72.2% of regulatory actions (n=13). Epidemiological study designs were least commonly cited (n=8, 44.4%). Multiple sources of evidence contributed to 94.4% of regulatory decisions (n=17). Death was the most common adverse drug reaction leading to regulatory action (n=5; 27.8%), with four of these related to medication error or overdose. Median (IQR) time taken to reach a decision from the start of regulatory review was found to be 204.5 days (143, 535 days) and decreased across the study period. Duration of marketing prior to regulatory action, from the medicinal product’s authorisation date, increased across the period 2012–2016. Conclusions The sources of evidence supporting pharmacovigilance regulatory activities appear to have changed since implementation of Directive 2010/84/EU and Regulation (EU) No. 1235/2010. This, together with a small improvement in regulatory efficiency, suggests progress towards more rapid regulatory decisions based on more robust evidence. Future research should continue to monitor sources of evidence supporting regulatory decisions and the time taken to reach these decisions over time. PMID:29362275
Boruch, Robert; Rui, Ning
2008-11-01
With the advance of web search and navigation technology, enormous amount of information, non-information, and misinformation may be obtained in milliseconds in response to questions about 'what works' in social sciences. Today, policy makers in non-medical public service arenas are under increasing pressure to make sound decisions based on scientific evidence. Some of these decisions are a matter of legal requirement. This paper shows how such movements are closely aligned with the evolution of organizations that develop and apply evidence standards and evidence grading schemes within the social science communities. The current state of evidence-based practice in social sciences is examined by reviewing the latest development of randomized trials and evidence grading schemes in the fields of education, criminal justice, and social welfare. Studies conducted under the auspices of the Campbell Collaboration and What Works Clearinghouse are used to illustrate ingredients of evidence grading schemes, graphic display of results of systematic reviews, and discrepancies of evidence derived from randomized trials and non-experimental trials. Furthermore, it is argued that the use of evidence on 'what works' depends on the potential users' awareness, understanding of the evidence, as well as their capacity and willingness to use it. Awareness and understanding depends on the world wide web and its augmentations, while capacity and willingness depends more on incentives to use good evidence and on political and ethical values. Implications for the future development of evidence grading organizations are discussed. © 2008 Blackwell Publishing Asia Pty Ltd and Chinese Cochrane Center, West China Hospital of Sichuan University.
Value of information and pricing new healthcare interventions.
Willan, Andrew R; Eckermann, Simon
2012-06-01
Previous application of value-of-information methods to optimal clinical trial design have predominantly taken a societal decision-making perspective, implicitly assuming that healthcare costs are covered through public expenditure and trial research is funded by government or donation-based philanthropic agencies. In this paper, we consider the interaction between interrelated perspectives of a societal decision maker (e.g. the National Institute for Health and Clinical Excellence [NICE] in the UK) charged with the responsibility for approving new health interventions for reimbursement and the company that holds the patent for a new intervention. We establish optimal decision making from societal and company perspectives, allowing for trade-offs between the value and cost of research and the price of the new intervention. Given the current level of evidence, there exists a maximum (threshold) price acceptable to the decision maker. Submission for approval with prices above this threshold will be refused. Given the current level of evidence and the decision maker's threshold price, there exists a minimum (threshold) price acceptable to the company. If the decision maker's threshold price exceeds the company's, then current evidence is sufficient since any price between the thresholds is acceptable to both. On the other hand, if the decision maker's threshold price is lower than the company's, then no price is acceptable to both and the company's optimal strategy is to commission additional research. The methods are illustrated using a recent example from the literature.
Chatterji, Madhabi; Green, Lawrence W; Kumanyika, Shiriki
2014-02-01
This article summarizes a comprehensive, systems-oriented framework designed to improve the use of a wide variety of evidence sources to address population-wide obesity problems. The L.E.A.D. framework (for Locate the evidence, Evaluate the evidence, Assemble the evidence, and inform Decisions), developed by an expert consensus committee convened by the Institute of Medicine, is broadly applicable to complex, community-wide health problems. The article explains how to use the framework, presenting an evidence typology that helps specify relevant research questions and includes examples of how particular research methodologies and sources of evidence relate to questions that stem from decision-maker needs. The utility of a range of quantitative, qualitative, and mixed method designs and data sources for assembling a broad and credible evidence base is discussed, with a call for ongoing "evidence generation" to fill information gaps using the recommended systems perspective.
Derosiere, Gerard; Zénon, Alexandre; Alamia, Andrea; Duque, Julie
2017-02-01
In the present study, we investigated the functional contribution of the human primary motor cortex (M1) to motor decisions. Continuous theta burst stimulation (cTBS) was used to alter M1 activity while participants performed a decision-making task in which the reward associated with the subjects' responses (right hand finger movements) depended on explicit and implicit value-based rules. Subjects performed the task over two consecutive days and cTBS occurred in the middle of Day 2, once the subjects were just about to implement implicit rules, in addition to the explicit instructions, to choose their responses, as evident in the control group (cTBS over the right somatosensory cortex). Interestingly, cTBS over the left M1 prevented subjects from implementing the implicit value-based rule while its implementation was enhanced in the group receiving cTBS over the right M1. Hence, cTBS had opposite effects depending on whether it was applied on the contralateral or ipsilateral M1. The use of the explicit value-based rule was unaffected by cTBS in the three groups of subject. Overall, the present study provides evidence for a functional contribution of M1 to the implementation of freshly acquired implicit rules, possibly through its involvement in a cortico-subcortical network controlling value-based motor decisions. Copyright © 2016 Elsevier Inc. All rights reserved.
Djulbegovic, Benjamin; Elqayam, Shira
2017-10-01
Given that more than 30% of healthcare costs are wasted on inappropriate care, suboptimal care is increasingly connected to the quality of medical decisions. It has been argued that personal decisions are the leading cause of death, and 80% of healthcare expenditures result from physicians' decisions. Therefore, improving healthcare necessitates improving medical decisions, ie, making decisions (more) rational. Drawing on writings from The Great Rationality Debate from the fields of philosophy, economics, and psychology, we identify core ingredients of rationality commonly encountered across various theoretical models. Rationality is typically classified under umbrella of normative (addressing the question how people "should" or "ought to" make their decisions) and descriptive theories of decision-making (which portray how people actually make their decisions). Normative theories of rational thought of relevance to medicine include epistemic theories that direct practice of evidence-based medicine and expected utility theory, which provides the basis for widely used clinical decision analyses. Descriptive theories of rationality of direct relevance to medical decision-making include bounded rationality, argumentative theory of reasoning, adaptive rationality, dual processing model of rationality, regret-based rationality, pragmatic/substantive rationality, and meta-rationality. For the first time, we provide a review of wide range of theories and models of rationality. We showed that what is "rational" behaviour under one rationality theory may be irrational under the other theory. We also showed that context is of paramount importance to rationality and that no one model of rationality can possibly fit all contexts. We suggest that in context-poor situations, such as policy decision-making, normative theories based on expected utility informed by best research evidence may provide the optimal approach to medical decision-making, whereas in the context-rich circumstances other types of rationality, informed by human cognitive architecture and driven by intuition and emotions such as the aim to minimize regret, may provide better solution to the problem at hand. The choice of theory under which we operate is important as it determines both policy and our individual decision-making. © 2017 The Authors Journal of Evaluation in Clinical Practice Published by John Wiley & Sons Ltd.
Intramuscular injection technique: an evidence-based approach.
Ogston-Tuck, Sherri
2014-09-30
Intramuscular injections require a thorough and meticulous approach to patient assessment and injection technique. This article, the second in a series of two, reviews the evidence base to inform safer practice and to consider the evidence for nursing practice in this area. A framework for safe practice is included, identifying important points for safe technique, patient care and clinical decision making. It also highlights the ongoing debate in selection of intramuscular injection sites, predominately the ventrogluteal and dorsogluteal muscles.
Toward a Transdisciplinary Model of Evidence-Based Practice
Satterfield, Jason M; Spring, Bonnie; Brownson, Ross C; Mullen, Edward J; Newhouse, Robin P; Walker, Barbara B; Whitlock, Evelyn P
2009-01-01
Context This article describes the historical context and current developments in evidence-based practice (EBP) for medicine, nursing, psychology, social work, and public health, as well as the evolution of the seminal “three circles” model of evidence-based medicine, highlighting changes in EBP content, processes, and philosophies across disciplines. Methods The core issues and challenges in EBP are identified by comparing and contrasting EBP models across various health disciplines. Then a unified, transdisciplinary EBP model is presented, drawing on the strengths and compensating for the weaknesses of each discipline. Findings Common challenges across disciplines include (1) how “evidence” should be defined and comparatively weighted; (2) how and when the patient's and/or other contextual factors should enter the clinical decision-making process; (3) the definition and role of the “expert”; and (4) what other variables should be considered when selecting an evidence-based practice, such as age, social class, community resources, and local expertise. Conclusions A unified, transdisciplinary EBP model would address historical shortcomings by redefining the contents of each model circle, clarifying the practitioner's expertise and competencies, emphasizing shared decision making, and adding both environmental and organizational contexts. Implications for academia, practice, and policy also are discussed. PMID:19523122
Tremel, Joshua J; Ortiz, Daniella M; Fiez, Julie A
2018-06-01
When making a decision, we have to identify, collect, and evaluate relevant bits of information to ensure an optimal outcome. How we approach a given choice can be influenced by prior experience. Contextual factors and structural elements of these past decisions can cause a shift in how information is encoded and can in turn influence later decision-making. In this two-experiment study, we sought to manipulate declarative memory efficacy and decision-making in a concurrent discrimination learning task by altering the amount of information to be learned. Subjects learned correct responses to pairs of items across several repetitions of a 50- or 100-pair set and were tested for memory retention. In one experiment, this memory test interrupted learning after an initial encoding experience in order to test for early encoding differences and associate those differences with changes in decision-making. In a second experiment, we used fMRI to probe neural differences between the two list-length groups related to decision-making across learning and assessed subsequent memory retention. We found that a striatum-based system was associated with decision-making patterns when learning a longer list of items, while a medial cortical network was associated with patterns when learning a shorter list. Additionally, the hippocampus was exclusively active for the shorter list group. Altogether, these behavioral, computational, and imaging results provide evidence that multiple types of mnemonic representations contribute to experienced-based decision-making. Moreover, contextual and structural factors of the task and of prior decisions can influence what types of evidence are drawn upon during decision-making. Copyright © 2018 Elsevier Ltd. All rights reserved.
Baker-Ericzén, Mary J.; Jenkins, Melissa M.; Park, Soojin; Garland, Ann F.
2014-01-01
Background Mental health professionals’ decision-making practice is an area of increasing interest and importance, especially in the pediatric research and clinical communities. Objective The present study explored the role of prior training in evidence-based treatments on clinicians’ assessment and treatment formulations using case vignettes. Specifically, study aims included using the Naturalistic Decision Making (NDM) cognitive theory to 1) examine potential associations between EBT training and decision-making processes (novice versus expert type), and 2) explore how client and family contextual information affects clinical decision-making. Methods Forty-eight clinicians across two groups (EBT trained=14, Not EBT trained=34) participated. Clinicians were comparable on professional experience, demographics, and discipline. The quasi-experimental design used an analog “think aloud” method where clinicians read case vignettes about a child with disruptive behavior problems and verbalized case conceptualization and treatment planning out-loud. Responses were coded according to NDM theory. Results MANOVA results were significant for EBT training status such that EBT trained clinicians’ displayed cognitive processes more closely aligned with “expert” decision-makers and non-EBT trained clinicians’ decision processes were more similar to “novice” decision-makers, following NDM theory. Non-EBT trained clinicians assigned significantly more diagnoses, provided less detailed treatment plans and discussed fewer EBTs. Parent/family contextual information also appeared to influence decision-making. Conclusion This study offers a preliminary investigation of the possible broader impacts of EBT training and potential associations with development of expert decision-making skills. Targeting clinicians’ decision-making may be an important avenue to pursue within dissemination-implementation efforts in mental health practice. PMID:25892901
Evidence synthesis for decision making 7: a reviewer's checklist.
Ades, A E; Caldwell, Deborah M; Reken, Stefanie; Welton, Nicky J; Sutton, Alex J; Dias, Sofia
2013-07-01
This checklist is for the review of evidence syntheses for treatment efficacy used in decision making based on either efficacy or cost-effectiveness. It is intended to be used for pairwise meta-analysis, indirect comparisons, and network meta-analysis, without distinction. It does not generate a quality rating and is not prescriptive. Instead, it focuses on a series of questions aimed at revealing the assumptions that the authors of the synthesis are expecting readers to accept, the adequacy of the arguments authors advance in support of their position, and the need for further analyses or sensitivity analyses. The checklist is intended primarily for those who review evidence syntheses, including indirect comparisons and network meta-analyses, in the context of decision making but will also be of value to those submitting syntheses for review, whether to decision-making bodies or journals. The checklist has 4 main headings: A) definition of the decision problem, B) methods of analysis and presentation of results, C) issues specific to network synthesis, and D) embedding the synthesis in a probabilistic cost-effectiveness model. The headings and implicit advice follow directly from the other tutorials in this series. A simple table is provided that could serve as a pro forma checklist.
Camacho, Jhon; Medina Ch, Ana María; Landis-Lewis, Zach; Douglas, Gerald; Boyce, Richard
2018-04-13
The distribution of printed materials is the most frequently used strategy to disseminate and implement clinical practice guidelines, although several studies have shown that the effectiveness of this approach is modest at best. Nevertheless, there is insufficient evidence to support the use of other strategies. Recent research has shown that the use of computerized decision support presents a promising approach to address some aspects of this problem. The aim of this study is to provide qualitative evidence on the potential effect of mobile decision support systems to facilitate the implementation of evidence-based recommendations included in clinical practice guidelines. We will conduct a qualitative study with two arms to compare the experience of primary care physicians while they try to implement an evidence-based recommendation in their clinical practice. In the first arm, we will provide participants with a printout of the guideline article containing the recommendation, while in the second arm, we will provide participants with a mobile app developed after formalizing the recommendation text into a clinical algorithm. Data will be collected using semistructured and open interviews to explore aspects of behavioral change and technology acceptance involved in the implementation process. The analysis will be comprised of two phases. During the first phase, we will conduct a template analysis to identify barriers and facilitators in each scenario. Then, during the second phase, we will contrast the findings from each arm to propose hypotheses about the potential impact of the system. We have formalized the narrative in the recommendation into a clinical algorithm and have developed a mobile app. Data collection is expected to occur during 2018, with the first phase of analysis running in parallel. The second phase is scheduled to conclude in July 2019. Our study will further the understanding of the role of mobile decision support systems in the implementation of clinical practice guidelines. Furthermore, we will provide qualitative evidence to aid decisions made by low- and middle-income countries' ministries of health about investments in these technologies. ©Jhon Camacho, Ana María Medina Ch, Zach Landis-Lewis, Gerald Douglas, Richard Boyce. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 13.04.2018.
Gifford, Wendy; Lefebre, Nancy; Davies, Barbara
2014-01-01
The aims of this study were to field test and evaluate a series of organizational strategies to promote evidence-informed decision making (EIDM) by nurse managers and clinical leaders in home healthcare. EIDM is central to delivering high-quality and effective healthcare. Barriers exist and organizational strategies are needed to support EIDM. Management and clinical leaders from 4 units participated in a 20-week organization-focused intervention. Preintervention (n = 32) and postintervention (n = 17) surveys and semistructured interviews (n = 15) were completed. Statistically significant increases were found on 4 of 31 survey items reflecting an increased organizational capacity for participants to acquire and apply research evidence in decision making. Support from designated facilitators with advanced skills in finding, appraising, and applying research was the highest rated intervention strategy. Results are useful to inform the development of organizational infrastructures to increase EIDM capacity in community-based healthcare organizations.
77 FR 29691 - Matthew J. Kachinas, M.D.; Decision and Order
Federal Register 2010, 2011, 2012, 2013, 2014
2012-05-18
... Medicine, Registrant no longer holds authority to dispense controlled substances in Florida, the State in... lieu of a hearing. 21 CFR 1301.43(e). Accordingly, I issue this Decision and Order based on relevant evidence contained in the Investigative Record submitted by the Government. I make the following findings...