USMLE Step 3 Scores Have Value in Predicting ABR Core Examination Outcome and Performance: A Multi-institutional Study.


Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
05 2021
Historique:
received: 24 04 2020
revised: 19 06 2020
accepted: 27 06 2020
pubmed: 11 8 2020
medline: 20 5 2021
entrez: 11 8 2020
Statut: ppublish

Résumé

We analyzed multi-institutional data to determine if Step 3 performance tiers can identify radiology residents with increased risk of Core examination failure and submean performance. We collected Step 3 scores (USMLE Step 3 or COMLEX Level 3) and American Board of Radiology (ABR) Core examination outcomes and scores for anonymized residents from 13 different Diagnostic Radiology residency programs taking the ABR Core examination between 2013 and 2019. Step 3 scores were converted to percentiles based on Z-score, with Core outcome and performance analyzed for Step 3 groups based on 50th percentile and based on quintiles. Core outcome was scored as fail when conditionally passed or failed. Core performance was measured by the percent of residents with scores below the mean. Differences between Step 3 groups for Core outcome and Core performance were statistically evaluated. Data were available for 342 residents. The Core examination failure rate for 121 residents with Step 3 scores <50th percentile was 19.8% (fail relative risk = 2.26), significantly higher than the 2.7% failure rate for the 221 other residents. Of 42 residents with Step 3 scores in the lowest quintile, the Core failure rate increased to 31.0% (fail relative risk = 3.52). Core performance improved with higher Step 3 quintiles. Step 3 licensing scores have value in predicting radiology resident performance on the ABR Core examination, enabling residency programs to target higher risk residents for early assessment and intervention.

Identifiants

pubmed: 32773330
pii: S1076-6332(20)30412-8
doi: 10.1016/j.acra.2020.06.032
pii:
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

726-732

Informations de copyright

Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Auteurs

Maitray D Patel (MD)

Department of Radiology, Mayo Clinic Arizona, 5777 E. Mayo Blvd., Phoenix, AZ 85054. Electronic address: patel.maitray@mayo.edu.

Thad Benefield (T)

Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina.

Katie N Hunt (KN)

Department of Radiology, Mayo Clinic Rochester, Rochester, Minnesota.

Courtney M Tomblinson (CM)

Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennesse.

Kamran Ali (K)

Department of Radiology, University of Kansas School of Medicine, Wichita, Kansas.

Carolynn M DeBenedectis (CM)

Department of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts.

Eric England (E)

Department of Radiology, University of Cincinnati Medical Center, Cincinnati, Ohio.

Glenn C Gaviola (GC)

Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts.

Christopher P Ho (CP)

Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia.

Ann K Jay (AK)

Department of Radiology, MedStar Georgetown University Hospital, Washington, District of Columbia.

James M Milburn (JM)

Department of Radiology, Ochsner Clinic Foundation, New Orleans, Louisiana.

Seng Ong (S)

Department of Radiology, University of Chicago Medical Center, Chicago, Illinois.

Jessica B Robbins (JB)

University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.

David S Sarkany (DS)

Department of Radiology, Staten Island University Hospital Northwell Health, Staten Island, New York.

Darel E Heitkamp (DE)

AdventHealth Imaging, Orlando, Florida.

Sheryl G Jordan (SG)

Department of Radiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina.

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Classifications MeSH