| Simulation training improves diagnostic performance on a real patient with similar clinical findings. | |
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MedLine Citation:
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PMID: 20829332 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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BACKGROUND: Training on a cardiopulmonary simulator improves subsequent diagnostic performance on the same simulator. But data are lacking on transfer of learning. The objective of this study was to determine whether training on a cardiorespiratory simulator improves diagnostic performance on a real patient. METHODS: We randomly allocated first-year medical students at the University of Calgary to simulator training in one of three clinical scenarios of acute-onset chest pain: pulmonary embolism with right ventricular strain but no murmur, symptomatic aortic stenosis, or myocardial ischemia causing mitral regurgitation. Simulation sessions ran for 20 min, after which participants had a standardized debriefing session and reviewed the physical findings. Immediately following the training sessions, students assessed the auscultatory findings of a real patient with mitral regurgitation. Our outcome measures were accuracy of identifying abnormal auscultatory findings and diagnosing the underlying cardiac abnormality (mitral regurgitation). RESULTS: Eighty-six students participated in the study. Students trained on mitral regurgitation were more likely to identify and diagnose these findings on a real patient with mitral regurgitation than those who had trained on aortic stenosis or a scenario with no cardiac murmur. The accuracy (SD) of identifying clinical features of mitral regurgitation for these three groups was 74.0 (36.4) vs 56.2 (34.3) vs 36.8 (33.1), respectively (P = .0005), and for diagnosing mitral regurgitation, the accuracy was 68.0 (45.4) vs 51.6 (50.0) vs 29.9 (40.7), respectively (P = .01). CONCLUSIONS: Simulator training on mitral regurgitation increases the likelihood of diagnosing this abnormality on a real patient. |
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Authors:
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Kristin Fraser; Bruce Wright; Louis Girard; Janet Tworek; Mike Paget; Lisa Welikovich; Kevin McLaughlin |
Publication Detail:
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Type: Journal Article; Randomized Controlled Trial; Research Support, Non-U.S. Gov't Date: 2010-09-09 |
Journal Detail:
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Title: Chest Volume: 139 ISSN: 1931-3543 ISO Abbreviation: Chest Publication Date: 2011 Feb |
Date Detail:
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Created Date: 2011-02-02 Completed Date: 2011-03-17 Revised Date: 2011-06-20 |
Medline Journal Info:
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Nlm Unique ID: 0231335 Medline TA: Chest Country: United States |
Other Details:
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Languages: eng Pagination: 376-81 Citation Subset: AIM; IM |
Affiliation:
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Department of Medicine, University of Calgary, Calgary, AB, Canada. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adult Analysis of Variance Aortic Diseases / complications, diagnosis* Auscultation Chest Pain / diagnosis*, etiology Clinical Competence Education, Medical, Undergraduate / methods* Educational Measurement Female Humans Male Mitral Valve Insufficiency / complications, diagnosis* Patient Simulation* Prospective Studies |
| Comments/Corrections | |
Comment In:
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Chest. 2011 May;139(5):1257-8; author reply 1258
[PMID:
21540230
]
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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