| The predictive value of general surgery application data for future resident performance. | |
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MedLine Citation:
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PMID: 22000538 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVE: The predictive value of application data for future general surgery resident performance and attrition are poorly understood. We sought to determine what variables obtained in the application process might predict future resident success. METHODS: We performed an 18-year review (1990-2008) of all matched residents (n = 101) to a university program. Both categorical graduates (CG) and nongraduates (CNG) and nondesignated preliminaries matching (PM) and preliminaries nonmatching (PNM) were evaluated. We also screened for previous high-performance accomplishments outside of the medical field such as in the performing arts or collegiate athletics (SKILL). Outcome data include graduation or match status, American Board of Surgery In-service Training Examination (ABSITE), and faculty Accreditation Council for Graduate Medical Education (ACGME) core competency evaluations. RESULTS: Background data from the Electronic Residency Application Service (ERAS) application between the various groups was compared with univariate analysis and logistic regression. There were significant differences between the groups on the measures of USMLE step 1 (STEP1) (p = 0.001), medical school grade point average (GPA) (p = 0.023), interview data (INTERVIEW) (p < 0.001), and ABSITE (p < 0.001). The variable of INTERVIEW had an odds ratio of 188.27 (95% confidence interval, 3.757-9435.405). Overall attrition was 23.7% (n = 24) and was evenly divided between those who left for lifestyle reasons and those who were encouraged to leave. CONCLUSIONS: Within our system, INTERVIEW, USMLE STEP1, and SKILL predict successful completion of a general surgery residency. In contrast to prior reports, female sex, ethnicity, medical school grades, or Alpha Omega Alpha Honor Society (AOA) status were not significant. The variable SKILL is novel and highlights the importance of nonacademic background data. Our data indicate STEP1 is an independent predictor of resident success in general surgery and should maintain an important role in general surgery applicant screening. The ideal screening threshold is likely > 215. |
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Authors:
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Daniel Mark Alterman; Thomas M Jones; Robert E Heidel; Brian J Daley; Mitchell H Goldman |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of surgical education Volume: 68 ISSN: 1878-7452 ISO Abbreviation: J Surg Educ Publication Date: 2011 Nov-Dec |
Date Detail:
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Created Date: 2011-10-17 Completed Date: 2012-02-24 Revised Date: 2012-04-02 |
Medline Journal Info:
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Nlm Unique ID: 101303204 Medline TA: J Surg Educ Country: United States |
Other Details:
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Languages: eng Pagination: 513-8 Citation Subset: IM |
Copyright Information:
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Copyright © 2011 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved. |
Affiliation:
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Department of Surgery, Graduate School of Medicine, University of Tennessee - Knoxville, Knoxville, Tennessee 37920-6999, USA. dalterma@mc.utmck.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Clinical Competence* Female Forecasting General Surgery* Humans Internship and Residency* Job Application* Male Retrospective Studies |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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