Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Adv Health Sci Educ Theory Pract. 2012 Aug;17(3):403-17. doi: 10.1007/s10459-011-9321-4. Epub 2011 Aug 28.

Modeling relationships between traditional preadmission measures and clinical skills performance on a medical licensure examination.

Author information

  • 1National Board of Osteopathic Medical Examiners, Inc, Conshohocken, PA 19428-2004, USA. broberts@nbome.org

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), uGPA(science) (0.07), and uGPA(non-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.

PMID:
21874593
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Springer
    Loading ...
    Write to the Help Desk