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Title

Brief report: beyond clinical experience: features of data collection and interpretation that contribute to diagnostic accuracy
Authors
Nendaz, Mathieu
Gut, Anne-Marie
Perrier, Arnaud
Louis Simonet, Martine
Blondon, Katherine
Herrmann, François
Junod, Alain
Vu, Nu Viet
Published in Journal of General Internal Medicine. 2006, vol. 21, no. 12, p. 1302-1305
Collection Open Access - Licence nationale Springer
Abstract BACKGROUND: Clinical experience, features of data collection process, or both, affect diagnostic accuracy, but their respective role is unclear. OBJECTIVE, DESIGN: Prospective, observational study, to determine the respective contribution of clinical experience and data collection features to diagnostic accuracy. METHODS: Six Internists, 6 second year internal medicine residents, and 6 senior medical students worked up the same 7 cases with a standardized patient. Each encounter was audiotaped and immediately assessed by the subjects who indicated the reasons underlying their data collection. We analyzed the encounters according to diagnostic accuracy, information collected, organ systems explored, diagnoses evaluated, and final decisions made, and we determined predictors of diagnostic accuracy by logistic regression models. RESULTS: Several features significantly predicted diagnostic accuracy after correction for clinical experience: early exploration of correct diagnosis (odds ratio [OR] 24.35) or of relevant diagnostic hypotheses (OR 2.22) to frame clinical data collection, larger number of diagnostic hypotheses evaluated (OR 1.08), and collection of relevant clinical data (OR 1.19). CONCLUSION: Some features of data collection and interpretation are related to diagnostic accuracy beyond clinical experience and should be explicitly included in clinical training and modeled by clinical teachers. Thoroughness in data collection should not be considered a privileged way to diagnostic success.
Keywords Clinical Competence — Data Collection — Diagnosis — Diagnostic Errors — Faculty, Medical — Humans — Internal Medicine — Internship and Residency — Prospective Studies — Students, Medical
Identifiers
PMID: 17458573
Full text
Article - public document Free access
Other version: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1924750/pdf/jgi0021-1302.pdf
Structures
Faculté de médecine / Section de médecine clinique / Département de médecine interne des spécialités
Citation
(ISO format) 		NENDAZ, Mathieu et al. Brief report: beyond clinical experience: features of data collection and interpretation that contribute to diagnostic accuracy. In: Journal of General Internal Medicine, 2006, vol. 21, n° 12, p. 1302-1305. https://archive-ouverte.unige.ch/unige:7968

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Deposited on : 2010-06-21

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