Literature DB >> 33499857

Objective predictors of intern performance.

Amanda C Filiberto1, Lou Ann Cooper2, Tyler J Loftus1, Sonja S Samant3, George A Sarosi1, Sanda A Tan4.   

Abstract

BACKGROUND: Residency programs select medical students for interviews and employment using metrics such as the United States Medical Licensing Examination (USMLE) scores, grade-point average (GPA), and class rank/quartile. It is unclear whether these metrics predict performance as an intern. This study tested the hypothesis that performance on these metrics would predict intern performance.
METHODS: This single institution, retrospective cohort analysis included 244 graduates from four classes (2015-2018) who completed an Accreditation Council for Graduate Medical Education (ACGME) certified internship and were evaluated by program directors (PDs) at the end of the year. PDs provided a global assessment rating and ratings addressing ACGME competencies (response rate = 47%) with five response options: excellent = 5, very good = 4, acceptable = 3, marginal = 2, unacceptable = 1. PDs also classified interns as outstanding = 4, above average = 3, average = 2, and below average = 1 relative to other interns from the same residency program. Mean USMLE scores (Step 1 and Step 2CK), third-year GPA, class rank, and core competency ratings were compared using Welch's ANOVA and follow-up pairwise t-tests.
RESULTS: Better performance on PD evaluations at the end of intern year was associated with higher USMLE Step 1 (p = 0.006), Step 2CK (p = 0.030), medical school GPA (p = 0.020) and class rank (p = 0.016). Interns rated as average had lower USMLE scores, GPA, and class rank than those rated as above average or outstanding; there were no significant differences between above average and outstanding interns. Higher rating in each of the ACGME core competencies was associated with better intern performance (p < 0.01).
CONCLUSIONS: Better performance as an intern was associated with higher USMLE scores, medical school GPA and class rank. When USMLE Step 1 reporting changes from numeric scores to pass/fail, residency programs can use other metrics to select medical students for interviews and employment.

Entities:  

Keywords:  Internship; Medical education; Medical student; Performance; Residency

Mesh:

Year:  2021        PMID: 33499857      PMCID: PMC7839184          DOI: 10.1186/s12909-021-02487-0

Source DB:  PubMed          Journal:  BMC Med Educ        ISSN: 1472-6920            Impact factor:   2.463


  20 in total

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Journal:  Acad Med       Date:  2003-01       Impact factor: 6.893

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Authors:  M De Villiers; B Van Heerden; S Van Schalkwyk
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8.  Does resident ranking during recruitment accurately predict subsequent performance as a surgical resident?

Authors:  Jonathan P Fryer; Noreen Corcoran; Brian George; Ed Wang; Debra Darosa
Journal:  J Surg Educ       Date:  2012-07-26       Impact factor: 2.891

9.  The Sorting Hat of Medicine: Why Hufflepuffs Wear Stethoscopes and Slytherins Carry Scalpels.

Authors:  Maria Baimas-George; Dionisios Vrochides
Journal:  J Surg Educ       Date:  2020-02-06       Impact factor: 2.891

10.  The association of USMLE Step 1 and Step 2 CK scores with residency match specialty and location.

Authors:  Jacqueline L Gauer; J Brooks Jackson
Journal:  Med Educ Online       Date:  2017
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