Literature DB >> 21879372

The impact of postgraduate training on USMLE® step 3® and its computer-based case simulation component.

Richard A Feinberg1, Kimberly A Swygert, Steven A Haist, Gerard F Dillon, Constance T Murray.   

Abstract

BACKGROUND: The United States Medical Licensing Examination® (USMLE®) Step 3® examination is a computer-based examination composed of multiple choice questions (MCQ) and computer-based case simulations (CCS). The CCS portion of Step 3 is unique in that examinees are exposed to interactive patient-care simulations.
OBJECTIVE: The purpose of the following study is to investigate whether the type and length of examinees' postgraduate training impacts performance on the CCS component of Step 3, consistent with previous research on overall Step 3 performance.
DESIGN: Retrospective cohort study PARTICIPANTS: Medical school graduates from U.S. and Canadian institutions completing Step 3 for the first time between March 2007 and December 2009 (n = 40,588).
METHODS: Post-graduate training was classified as either broadly focused for general areas of medicine (e.g. pediatrics) or narrowly focused for specific areas of medicine (e.g. radiology). A three-way between-subjects MANOVA was utilized to test for main and interaction effects on Step 3 and CCS scores between the demographic characteristics of the sample and type of residency. Additionally, to examine the impact of postgraduate training, CCS scores were regressed on Step 1 and Step 2 Clinical Knowledge (CK) scores. Residuals from the resulting regressions were plotted.
RESULTS: There was a significant difference in CCS scores between broadly focused (μ = 216, σ = 17) and narrowly focused (μ=211, σ = 16) residencies (p < 0.001). Examinees in broadly focused residencies performed better overall and as length of training increased, compared to examinees in narrowly focused residencies. Predictors of Step 1 and Step 2 CK explained 55% of overall Step 3 variability and 9% of CCS score variability.
CONCLUSIONS: Factors influencing performance on the CCS component may be similar to those affecting Step 3 overall. Findings are supportive of the validity of the Step 3 program and may be useful to program directors and residents in considering readiness to take this examination.

Entities:  

Mesh:

Year:  2011        PMID: 21879372      PMCID: PMC3250543          DOI: 10.1007/s11606-011-1835-1

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  10 in total

1.  The impact of postgraduate training and timing on USMLE Step 3 performance.

Authors:  Amy J Sawhill; Gerard F Dillon; Douglas R Ripkey; Richard E Hawkins; David B Swanson
Journal:  Acad Med       Date:  2003-10       Impact factor: 6.893

2.  Working group 8: Defining the different types of cardiovascular specialists and developing a new model for training general clinical cardiologists.

Authors:  Valentin Fuster; John W Hirshfeld; Alan S Brown; Bruce H Brundage; W Bruce Fye; Richard P Lewis; Ira S Nash; Michael H Sketch; George W Vetrovec
Journal:  J Am Coll Cardiol       Date:  2004-07-21       Impact factor: 24.094

3.  What predicts USMLE Step 3 performance?

Authors:  Dorothy A Andriole; Donna B Jeffe; Heather L Hageman; Alison J Whelan
Journal:  Acad Med       Date:  2005-10       Impact factor: 6.893

4.  Internal medicine resident perceptions of optimal training duration.

Authors:  Kris G Thomas; Colin P West; Carol Popkave; Steven E Weinberger; Joseph C Kolars
Journal:  Acad Med       Date:  2007-10       Impact factor: 6.893

5.  Education first: reforming the first-year curriculum of the internal medicine residency.

Authors:  William Gustin; Romilla Batra; Alpesh Amin; Lloyd Rucker
Journal:  Acad Med       Date:  2009-03       Impact factor: 6.893

6.  Doctor scores on national qualifying examinations predict quality of care in future practice.

Authors:  Elizabeth Wenghofer; Daniel Klass; Michal Abrahamowicz; Dale Dauphinee; André Jacques; Sydney Smee; David Blackmore; Nancy Winslade; Kristen Reidel; Ilona Bartman; Robyn Tamblyn
Journal:  Med Educ       Date:  2009-12       Impact factor: 6.251

7.  Assessing potentially dangerous medical actions with the computer-based case simulation portion of the USMLE step 3 examination.

Authors:  Polina Harik; Monica M Cuddy; Seosaimhin O'Donovan; Constance T Murray; David B Swanson; Brian E Clauser
Journal:  Acad Med       Date:  2009-10       Impact factor: 6.893

8.  Is there a relationship between high-quality performance in major teaching hospitals and residents' knowledge of quality and patient safety?

Authors:  Susan K Pingleton; Bernard J Horak; David A Davis; Donald A Goldmann; Mark A Keroack; Robert M Dickler
Journal:  Acad Med       Date:  2009-11       Impact factor: 6.893

Review 9.  Internal medicine training in the 21st century.

Authors:  Thomas S Huddle; Gustavo R Heudebert
Journal:  Acad Med       Date:  2008-10       Impact factor: 6.893

10.  Redesigning residency training in internal medicine: the consensus report of the Alliance for Academic Internal Medicine Education Redesign Task Force.

Authors:  Frederick J Meyers; Steven E Weinberger; John P Fitzgibbons; Jeffrey Glassroth; F Daniel Duffy; Charles P Clayton
Journal:  Acad Med       Date:  2007-12       Impact factor: 6.893

  10 in total

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