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Modeling relationships between traditional preadmission measures and clinical skills performance on a medical licensure examination
Advances in Health Sciences Education
  • W. L. Roberts
  • G. Pugliano
  • E. E. Langenau, Philadelphia College of Osteopathic Medicine
  • J. R. Boulet
Document Type
Article
Publication Date
1-1-2012
Disciplines
Abstract
Medical schools employ a variety of preadmission measures to select students most likely to succeed in the program. The Medical College Admission Test (MCAT) and the undergraduate college grade point average (uGPA) are two academic measures typically used to select students in medical school. The assumption that presently used preadmission measures can predict clinical skill performance on a medical licensure examination was evaluated within a validity argument framework (Kane 1992). A hierarchical generalized linear model tested relationships between the log-odds of failing a high-stakes medical licensure performance examination and matriculant academic and non-academic preadmission measures, controlling for student-and school-variables. Data includes 3,189 matriculants from 22 osteopathic medical schools tested in 2009-2010. Unconditional unit-specific model expected average log-odds of failing the examination across medical schools is -3. 05 (se = 0. 11) or 5%. Student-level estimated coefficients for MCAT Verbal Reasoning scores (0. 03), Physical Sciences scores (0. 05), Biological Sciences scores (0. 04), uGPAscience (0. 07), and uGPAnon-science (0. 26) lacked association with the log-odds of failing the COMLEX-USA Level 2-PE, controlling for all other predictors in the model. Evidence from this study shows that present preadmission measures of academic ability are not related to later clinical skill performance. Given that clinical skill performance is an important part of medical practice, selection measures should be developed to identify students who will be successful in communication and be able to demonstrate the ability to systematically collect a medical history, perform a physical examination, and synthesize this information to diagnose and manage patient conditions. © 2011 Springer Science+Business Media B.V.
Comments

This article was published in Advances in Health Sciences Education, Volume 17, Issue 3, Pages 403-417.

The published version is available at http://dx.doi.org/10.1007/s10459-011-9321-4.

Copyright © 2012 Scopus.

Citation Information
W. L. Roberts, G. Pugliano, E. E. Langenau and J. R. Boulet. "Modeling relationships between traditional preadmission measures and clinical skills performance on a medical licensure examination" Advances in Health Sciences Education Vol. 17 Iss. 3 (2012) p. 403 - 417
Available at: http://works.bepress.com/erik_langenau/15/