ArticleJournal of general internal medicine2009
Tips for teachers of evidence-based medicine: making sense of decision analysis using a decision tree.
Article in Journal of general internal medicine, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A scoping review of clinical reasoning research with Asian healthcare professionals.Advances in health sciences education : theory and practice · 2021Article
- Quantifying patient preferences for symptomatic breast clinic referral: a decision analysis study.BMJ open · 2018Article
- A framework for sensitivity analysis of decision trees.Central European journal of operations research · 2018Article
- Extended Twilight among Isogenic C. elegans Causes a Disproportionate Scaling between Lifespan and Health.Cell systems · 2016Article
- Using decision trees to characterize verbal communication during change and stuck episodes in the therapeutic process.Frontiers in psychology · 2015Article
- Cost analysis of strategies to reduce blood culture contamination in the emergency department: sterile collection kits and phlebotomy teams.Infection control and hospital epidemiology · 2014Article
- Foundational principles of classical Ayurveda research.Journal of Ayurveda and integrative medicine · 2013Article
- Clinical reasoning in the real world is mediated by bounded rationality: implications for diagnostic clinical practice guidelines.PloS one · 2010Article
- [Tree decision analysis of the therapeutic alternatives for Panic Disorders in Primary Care].Atencion primaria · 2010Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Decision analysis is a tool that clinicians can use to choose an option that maximizes the overall net benefit to a patient. It is an explicit, quantitative, and systematic approach to decision making under conditions of uncertainty. In this article, we present two teaching tips aimed at helping clinical learners understand the use and relevance of decision analysis. The first tip demonstrates the structure of a decision tree. With this tree, a clinician may identify the optimal choice among complicated options by calculating probabilities of events and incorporating patient valuations of possible outcomes. The second tip demonstrates how to address uncertainty regarding the estimates used in a decision tree. We field tested the tips twice with interns and senior residents. Teacher preparatory time was approximately 90 minutes. The field test utilized a board and a calculator. Two handouts were prepared. Learners identified the importance of incorporating values into the decision-making process as well as the role of uncertainty. The educational objectives appeared to be reached. These teaching tips introduce clinical learners to decision analysis in a fashion aimed to illustrate principles of clinical reasoning and how patient values can be actively incorporated into complex decision making.
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