Document Detail


Assessing potentially dangerous medical actions with the computer-based case simulation portion of the USMLE step 3 examination.
MedLine Citation:
PMID:  19907393     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
BACKGROUND: The 2000 Institute of Medicine report on patient safety brought renewed attention to the issue of preventable medical errors, and subsequently specialty boards and the National Board of Medical Examiners were encouraged to play a role in setting expectations around safety education. This paper examines potentially dangerous actions taken by examinees during the portion of the United States Medical Licensing Examination Step 3 that is particularly well suited to evaluating lapses in physician decision making, the Computer-based Case Simulation (CCS). METHOD: Descriptive statistics and a general linear modeling approach were used to analyze dangerous actions ordered by 25,283 examinees that completed CCS for the first time between November 2006 and January 2008. RESULTS: More than 20% of examinees ordered at least one dangerous action with the potential to cause significant patient harm. The propensity to order dangerous actions may vary across clinical cases. CONCLUSIONS: The CCS format may provide a means of collecting important information about patient-care situations in which examinees may be more likely to commit dangerous actions and the propensity of examinees to order dangerous tests and treatments.
Authors:
Polina Harik; Monica M Cuddy; Seosaimhin O'Donovan; Constance T Murray; David B Swanson; Brian E Clauser
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Academic medicine : journal of the Association of American Medical Colleges     Volume:  84     ISSN:  1938-808X     ISO Abbreviation:  Acad Med     Publication Date:  2009 Oct 
Date Detail:
Created Date:  2009-11-12     Completed Date:  2010-02-22     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8904605     Medline TA:  Acad Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  S79-82     Citation Subset:  AIM; IM    
Affiliation:
pharik@nbme.org
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MeSH Terms
Descriptor/Qualifier:
Clinical Competence*
Computer-Assisted Instruction*
Educational Measurement*
Licensure, Medical*
Medical Errors*
Risk Assessment
United States

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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