Journal article
A Bayesian perspective on constructing a written assessment of probabilistic clinical reasoning in experienced clinicians
Journal of evaluation in clinical practice, Vol.23(1), pp.44-48
02/01/2017
DOI: 10.1111/jep.12469
PMID: 26486941
Abstract
RationaleDecision-making performance assessments have proven problematic for assessing clinical reasoning.
Aims and ObjectivesA Bayesian approach to designing an advanced clinical reasoning assessment is well grounded in mathematical and cognitive theory and may offer significant psychometric advantages. Probabilistic logic plays an important role in medical problem solving, and performances on Bayesian-type tasks appear to be causally-related to the ability to make sound clinical decisions.
MethodsA validity argument is used to guide the design of an assessment of medical reasoning using clinical probabilities.
Results/ConclusionsThe practical advantage of using a Bayesian approach to item design relates to the fact that probability theory provides a rationally optimal method for managing uncertain information and provides the criteria for objective correct answer scoring. Potential item formats are discussed.
Details
- Title: Subtitle
- A Bayesian perspective on constructing a written assessment of probabilistic clinical reasoning in experienced clinicians
- Creators
- Clarence D. Kreiter - Roy J. and Lucille A. Carver College of Medicine
- Resource Type
- Journal article
- Publication Details
- Journal of evaluation in clinical practice, Vol.23(1), pp.44-48
- Publisher
- Wiley
- DOI
- 10.1111/jep.12469
- PMID
- 26486941
- ISSN
- 1356-1294
- eISSN
- 1365-2753
- Number of pages
- 5
- Grant note
- Fulbright Scholar Commission Royal College of Surgeons in Ireland
- Language
- English
- Date published
- 02/01/2017
- Academic Unit
- Family and Community Medicine
- Record Identifier
- 9984297349602771
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