Effects of reflective practice on the accuracy of medical diagnoses
Abstract
Context Reflective practice has been suggested to be an important instrument in improving clinical judgement and developing medical expertise. Empirical evidence supporting this suggestion, however, is absent. This paper reports on an experiment conducted to study the effects of reflective practice on diagnostic accuracy. Methods Participants were 42 internal medicine residents in hospitals in 2 states in the northeast of Brazil. They diagnosed 16 clinical cases. The experiment employed a repeated measures design, with 2 independent variables: the complexity of clinical cases (simple or complex), and the reasoning approach induced to diagnose the case (participants were instructed to diagnose each case either through pattern recognition or reflective reasoning). The dependent variable was the accuracy of the diagnosis provided for each case. All participants participated in each of the 2 levels of both independent variables. Results A main effect of case complexity emerged. There was no statistically significant main effect of reflective practice. However, a significant interaction effect was found between case complexity and mode of processing (F[1,41] = 4.48, P < 0.05), indicating that although reflective practice did not make a difference to accuracy of diagnosis in simple cases, it had a positive effect when diagnosing complex cases. Conclusions Reflective practice had a positive effect on diagnosis of complex, unusual cases. Non‐analytical reasoning was shown to be as effective as reflective reasoning for diagnosing routine clinical cases. Findings support the idea that reflective practice may particularly improve diagnoses in situations of uncertainty and uniqueness, reducing diagnostic errors.
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Methods such as reflective medical practice and debiasing through feedback can help reduce the number of cognitive errors.
“methods such as reflective medical practice36, which help clinicians enhance their ability to navigate complex cases37, or debiasing through feedback to identify and correct cognitive biases38 can help in reducing the number of cognitive errors.”
From Large Language Models lack essential metacognition for reliable medical reasoning (2025) · cites this paper as [37]
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- Authors
- Mamede, S., Schmidt, H. G., & Penaforte, J. C.
- Affiliations
- Erasmus University Rotterdam (NL)
- ORCID
- Schmidt, Henk G
- Venue
- Medical Education
- Publisher
- Wiley
- Published
- 2008-04-11
- Volume
- 42
- Issue
- 5
- Pages
- 468-475
- ISSN
- 0308-0110 (ISSN-L)
- 1365-2923
- OpenAlex
- W1975402326
- Cited by
- 382
- References
- 24
- Citations by year
- 2026: 31 · 2025: 9 · 2024: 26 · 2023: 19 · 2022: 29 · 2021: 27 · 2020: 26 · 2019: 26 · 2018: 19 · 2017: 20 · 2016: 20 · 2015: 24 · 2014: 23 · 2013: 26 · 2012: 21
- FWCI
- 8.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medical Education (publishedVersion)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Topics
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Social Sciences › Education › Reflective Practices in Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Keywords
- reflective practice, diagnostic accuracy, clinical judgment, internal medicine residents, case complexity, pattern recognition, reflective thinking, diagnostic errors, clinical reasoning
- MeSH terms
- Brazil, Clinical Competence, Diagnosis, Internal Medicine, Internship and Residency, Thinking
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