Do Residency Selection Factors Predict Radiology Resident Performance?
| Autor: | Vikas Agarwal, Barton F. Branstetter, Ling-Wan Chen, Matthew T. Heller, Marion A. Hughes, Nikhil B. Amesur, Gregory M. Bump |
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| Rok vydání: | 2017 |
| Předmět: |
Adult
Male medicine.medical_specialty Matching (statistics) education Logistic regression 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Academic Performance Medicine Humans Radiology Nuclear Medicine and imaging School Admission Criteria 030212 general & internal medicine Selection (genetic algorithm) Retrospective Studies business.industry Medical school Clinical performance Internship and Residency Retrospective cohort study Residency program United States Medical Licensing Examination United States Family medicine Female Radiology business Licensure |
| Zdroj: | Academic radiology. 25(3) |
| ISSN: | 1878-4046 |
| Popis: | 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, and 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. |
| Databáze: | OpenAIRE |
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