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Acad Radiol. 2017 Nov 24. pii: S1076-6332(17)30413-0. doi: 10.1016/j.acra.2017.09.020. [Epub ahead of print]

Do Residency Selection Factors Predict Radiology Resident Performance?

Author information

1
Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Suite 200 East Wing, Pittsburgh, PA 15213. Electronic address: agarwalv@upmc.edu.
2
Division of General Internal Medicine, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
3
Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Suite 200 East Wing, Pittsburgh, PA 15213.
4
Department of Statistics, University of Pittsburgh, Pittsburgh, Pennsylvania.

Abstract

RATIONALE AND OBJECTIVES:

The purpose of our study is to determine what information in medical student residency applications predicts radiology residency success as defined by objective clinical performance data.

MATERIALS AND METHODS:

We performed a retrospective cohort study of residents who entered our institution's residency program through the National Resident Matching Program as postgraduate year 2 residents and completed the program over the past 2 years. Medical school grades, selection to Alpha Omega Alpha (AOA) Honor Society, United States Medical Licensing Examination (USMLE) scores, publication in peer-reviewed journals, and whether the applicant was from a peer institution were the variables examined. Clinical performance was determined by calculating each resident's cumulative major discordance rate for on-call cases the resident read and gave a preliminary interpretation. A major discordance was defined as a difference between the preliminary resident and the final attending interpretations that could immediately impact the care of the patient. A multivariate logistic regression was performed to determine significant variables.

RESULTS:

Twenty-seven residents provided preliminary reports on call for 67,145 studies. The mean major discordance rate was 1.08% (range 0.34%-2.54%). Higher USMLE Step 1 scores, publication before residency, and election to AOA Honor Society were all statistically significant predictors of lower major discordance rates (P values 0.01, 0.01, ‚ÄČand <0.001, respectively).

CONCLUSIONS:

Overall resident performance was excellent. There are predictors that help select the better performing residents, namely higher USMLE Step 1 scores, one to two publications during medical school, and election to AOA in the junior year of medical school.

KEYWORDS:

Radiology residency performance; USMLE Step 1; error rate; medical student application; residency performance

PMID:
29239834
DOI:
10.1016/j.acra.2017.09.020
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