Evidence-Based Medicine, Pharmacogenetics, and Antiplatelet Therapy Decision Making for Acute Coronary Syndrome

2014 ◽  
Vol 160 (4) ◽  
pp. 284-285 ◽  
Author(s):  
John B. Wong
Keyword(s):  
Decision Making ◽  
Acute Coronary Syndrome ◽  
Antiplatelet Therapy ◽  
Evidence Based Medicine ◽  
Evidence Based ◽  
Coronary Syndrome ◽  
Therapy Decision ◽  
Based Medicine

Predictors of Early Discontinuation of Evidence-Based Medicine After Acute Coronary Syndrome

2009 ◽  
Vol 104 (2) ◽  
pp. 175-181 ◽  
Author(s):  
Chiara Melloni ◽  
Karen P. Alexander ◽  
Fang-Shu Ou ◽  
Nancy M. Allen LaPointe ◽  
Matthew T. Roe ◽  
...  
Keyword(s):  
Acute Coronary Syndrome ◽  
Evidence Based Medicine ◽  
Evidence Based ◽  
Early Discontinuation ◽  
Coronary Syndrome ◽  
Based Medicine

scholarly journals Applying evidence-based medicine in general practice: a video-stimulated interview study on workplace-based observation

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Lisanne S. Welink ◽  
Kaatje Van Roy ◽  
Roger A. M. J. Damoiseaux ◽  
Hilde A. Suijker ◽  
Peter Pype ◽  
...  
Keyword(s):  
Decision Making ◽  
General Practice ◽  
Evidence Based Medicine ◽  
Evidence Based ◽  
Clinical Expertise ◽  
Stimulated Recall ◽  
Previous Discussion ◽  
Based Medicine ◽  
Stimulated Recall Interviews ◽  
Gp Training

Abstract Background Evidence-based medicine (EBM) in general practice involves applying a complex combination of best-available evidence, the patient’s preferences and the general practitioner’s (GP) clinical expertise in decision-making. GPs and GP trainees learn how to apply EBM informally by observing each other’s consultations, as well as through more deliberative forms of workplace-based learning. This study aims to gain insight into workplace-based EBM learning by investigating the extent to which GP supervisors and trainees recognise each other’s EBM behaviour through observation, and by identifying aspects that influence their recognition. Methods We conducted a qualitative multicentre study based on video-stimulated recall interviews (VSI) of paired GP supervisors and GP trainees affiliated with GP training institutes in Belgium and the Netherlands. The GP pairs (n = 22) were shown fragments of their own and their partner’s consultations and were asked to elucidate their own EBM considerations and the ones they recognised in their partner’s actions. The interview recordings were transcribed verbatim and analysed with NVivo. By comparing pairs who recognised each other’s considerations well with those who did not, we developed a model describing the aspects that influence the observer’s recognition of an actor’s EBM behaviour. Results Overall, there was moderate similarity between an actor’s EBM behaviour and the observer’s recognition of it. Aspects that negatively influence recognition are often observer-related. Observers tend to be judgemental, give unsolicited comments on how they would act themselves and are more concerned with the trainee-supervisor relationship than objective observation. There was less recognition when actors used implicit reasoning, such as mindlines (internalised, collectively reinforced tacit guidelines). Pair-related aspects also played a role: previous discussion of a specific topic or EBM decision-making generally enhanced recognition. Consultation-specific aspects played only a marginal role. Conclusions GP trainees and supervisors do not fully recognise EBM behaviour through observing each other’s consultations. To improve recognition of EBM behaviour and thus benefit from informal observational learning, observers need to be aware of automatic judgements that they make. Creating explicit learning moments in which EBM decision-making is discussed, can improve shared knowledge and can also be useful to unveil tacit knowledge derived from mindlines.

Evidence-Based Decision-Making (Part 1): Origins and Evolution in the Health Sciences

2009 ◽  
Vol 24 (4) ◽  
pp. 298-305 ◽  
Author(s):  
David A. Bradt
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Evidence Based Medicine ◽  
Strategic Decision ◽  
Systematic Research ◽  
Evidence Based ◽  
Clinical Expertise ◽  
Strength Of Evidence ◽  
Based Medicine ◽  
Evidence Based Decision Making

AbstractEvidence is defined as data on which a judgment or conclusion may be based. In the early 1990s, medical clinicians pioneered evidence-based decision-making. The discipline emerged as the use of current best evidence in making decisions about the care of individual patients. The practice of evidence-based medicine required the integration of individual clinical expertise with the best available, external clinical evidence from systematic research and the patient's unique values and circumstances. In this context, evidence acquired a hierarchy of strength based upon the method of data acquisition.Subsequently, evidence-based decision-making expanded throughout the allied health field. In public health, and particularly for populations in crisis, three major data-gathering tools now dominate: (1) rapid health assessments; (2) population based surveys; and (3) disease surveillance. Unfortunately, the strength of evidence obtained by these tools is not easily measured by the grading scales of evidence-based medicine. This is complicated by the many purposes for which evidence can be applied in public health—strategic decision-making, program implementation, monitoring, and evaluation. Different applications have different requirements for strength of evidence as well as different time frames for decision-making. Given the challenges of integrating data from multiple sources that are collected by different methods, public health experts have defined best available evidence as the use of all available sources used to provide relevant inputs for decision-making.

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