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Objective predictors of intern performance
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 st...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839184/ https://www.ncbi.nlm.nih.gov/pubmed/33499857 http://dx.doi.org/10.1186/s12909-021-02487-0 |
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author | Filiberto, Amanda C. Cooper, Lou Ann Loftus, Tyler J. Samant, Sonja S. Sarosi, George A. Tan, Sanda A. |
author_facet | Filiberto, Amanda C. Cooper, Lou Ann Loftus, Tyler J. Samant, Sonja S. Sarosi, George A. Tan, Sanda A. |
author_sort | Filiberto, Amanda C. |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-021-02487-0. |
format | Online Article Text |
id | pubmed-7839184 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78391842021-01-27 Objective predictors of intern performance Filiberto, Amanda C. Cooper, Lou Ann Loftus, Tyler J. Samant, Sonja S. Sarosi, George A. Tan, Sanda A. BMC Med Educ Research Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-021-02487-0. BioMed Central 2021-01-26 /pmc/articles/PMC7839184/ /pubmed/33499857 http://dx.doi.org/10.1186/s12909-021-02487-0 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Filiberto, Amanda C. Cooper, Lou Ann Loftus, Tyler J. Samant, Sonja S. Sarosi, George A. Tan, Sanda A. Objective predictors of intern performance |
title | Objective predictors of intern performance |
title_full | Objective predictors of intern performance |
title_fullStr | Objective predictors of intern performance |
title_full_unstemmed | Objective predictors of intern performance |
title_short | Objective predictors of intern performance |
title_sort | objective predictors of intern performance |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7839184/ https://www.ncbi.nlm.nih.gov/pubmed/33499857 http://dx.doi.org/10.1186/s12909-021-02487-0 |
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