Brief report: beyond clinical experience: features of data collection and interpretation that contribute to diagnostic accuracy

Nendaz, Mathieu; Gut, Anne-Marie; Perrier, Arnaud; Louis Simonet, Martine; Blondon, Katherine; Herrmann, François; Junod, Alain; Vu, Nu Viet

doi:10.1111/j.1525-1497.2006.00587.x

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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
Identifiers		DOI: 10.1111/j.1525-1497.2006.00587.x PMID: 17105525 PMCID: PMC1924750
Full text		Article (Published version) - 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
Research group		Acquisition de l'expertise médicale (662)
Project		Swiss National Science Foundation: 32003B-102265
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. doi: 10.1111/j.1525-1497.2006.00587.x https://archive-ouverte.unige.ch/unige:7968