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Exploring the Association Between USMLE Scores and ACGME Milestone Ratings: A Validity Study Using National Data From Emergency Medicine

PURPOSE: The United States Medical Licensing Examination (USMLE) sequence and the Accreditation Council for Graduate Medical Education (ACGME) milestones represent 2 major components along the continuum of assessment from undergraduate through graduate medical education. This study examines associat...

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Autores principales: Hamstra, Stanley J., Cuddy, Monica M., Jurich, Daniel, Yamazaki, Kenji, Burkhardt, John, Holmboe, Eric S., Barone, Michael A., Santen, Sally A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378430/
https://www.ncbi.nlm.nih.gov/pubmed/34133345
http://dx.doi.org/10.1097/ACM.0000000000004207
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author Hamstra, Stanley J.
Cuddy, Monica M.
Jurich, Daniel
Yamazaki, Kenji
Burkhardt, John
Holmboe, Eric S.
Barone, Michael A.
Santen, Sally A.
author_facet Hamstra, Stanley J.
Cuddy, Monica M.
Jurich, Daniel
Yamazaki, Kenji
Burkhardt, John
Holmboe, Eric S.
Barone, Michael A.
Santen, Sally A.
author_sort Hamstra, Stanley J.
collection PubMed
description PURPOSE: The United States Medical Licensing Examination (USMLE) sequence and the Accreditation Council for Graduate Medical Education (ACGME) milestones represent 2 major components along the continuum of assessment from undergraduate through graduate medical education. This study examines associations between USMLE Step 1 and Step 2 Clinical Knowledge (CK) scores and ACGME emergency medicine (EM) milestone ratings. METHOD: In February 2019, subject matter experts (SMEs) provided judgments of expected associations for each combination of Step examination and EM subcompetency. The resulting sets of subcompetencies with expected strong and weak associations were selected for convergent and discriminant validity analysis, respectively. National-level data for 2013–2018 were provided; the final sample included 6,618 EM residents from 158 training programs. Empirical bivariate correlations between milestone ratings and Step scores were calculated, then those correlations were compared with the SMEs’ judgments. Multilevel regression analyses were conducted on the selected subcompetencies, in which milestone ratings were the dependent variable, and Step 1 score, Step 2 CK score, and cohort year were independent variables. RESULTS: Regression results showed small but statistically significant positive relationships between Step 2 CK score and the subcompetencies (regression coefficients ranged from 0.02 [95% confidence interval (CI), 0.01–0.03] to 0.12 [95% CI, 0.11–0.13]; all P < .05), with the degree of association matching the SMEs’ judgments for 7 of the 9 selected subcompetencies. For example, a 1 standard deviation increase in Step 2 CK score predicted a 0.12 increase in MK-01 milestone rating, when controlling for Step 1. Step 1 score showed a small statistically significant effect with only the MK-01 subcompetency (regression coefficient = 0.06 [95% CI, 0.05–0.07], P < .05). CONCLUSIONS: These results provide incremental validity evidence in support of Step 1 and Step 2 CK score and EM milestone rating uses.
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spelling pubmed-83784302021-08-23 Exploring the Association Between USMLE Scores and ACGME Milestone Ratings: A Validity Study Using National Data From Emergency Medicine Hamstra, Stanley J. Cuddy, Monica M. Jurich, Daniel Yamazaki, Kenji Burkhardt, John Holmboe, Eric S. Barone, Michael A. Santen, Sally A. Acad Med Research Reports PURPOSE: The United States Medical Licensing Examination (USMLE) sequence and the Accreditation Council for Graduate Medical Education (ACGME) milestones represent 2 major components along the continuum of assessment from undergraduate through graduate medical education. This study examines associations between USMLE Step 1 and Step 2 Clinical Knowledge (CK) scores and ACGME emergency medicine (EM) milestone ratings. METHOD: In February 2019, subject matter experts (SMEs) provided judgments of expected associations for each combination of Step examination and EM subcompetency. The resulting sets of subcompetencies with expected strong and weak associations were selected for convergent and discriminant validity analysis, respectively. National-level data for 2013–2018 were provided; the final sample included 6,618 EM residents from 158 training programs. Empirical bivariate correlations between milestone ratings and Step scores were calculated, then those correlations were compared with the SMEs’ judgments. Multilevel regression analyses were conducted on the selected subcompetencies, in which milestone ratings were the dependent variable, and Step 1 score, Step 2 CK score, and cohort year were independent variables. RESULTS: Regression results showed small but statistically significant positive relationships between Step 2 CK score and the subcompetencies (regression coefficients ranged from 0.02 [95% confidence interval (CI), 0.01–0.03] to 0.12 [95% CI, 0.11–0.13]; all P < .05), with the degree of association matching the SMEs’ judgments for 7 of the 9 selected subcompetencies. For example, a 1 standard deviation increase in Step 2 CK score predicted a 0.12 increase in MK-01 milestone rating, when controlling for Step 1. Step 1 score showed a small statistically significant effect with only the MK-01 subcompetency (regression coefficient = 0.06 [95% CI, 0.05–0.07], P < .05). CONCLUSIONS: These results provide incremental validity evidence in support of Step 1 and Step 2 CK score and EM milestone rating uses. Lippincott Williams & Wilkins 2021-08-24 2021-09 /pmc/articles/PMC8378430/ /pubmed/34133345 http://dx.doi.org/10.1097/ACM.0000000000004207 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Association of American Medical Colleges. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
spellingShingle Research Reports
Hamstra, Stanley J.
Cuddy, Monica M.
Jurich, Daniel
Yamazaki, Kenji
Burkhardt, John
Holmboe, Eric S.
Barone, Michael A.
Santen, Sally A.
Exploring the Association Between USMLE Scores and ACGME Milestone Ratings: A Validity Study Using National Data From Emergency Medicine
title Exploring the Association Between USMLE Scores and ACGME Milestone Ratings: A Validity Study Using National Data From Emergency Medicine
title_full Exploring the Association Between USMLE Scores and ACGME Milestone Ratings: A Validity Study Using National Data From Emergency Medicine
title_fullStr Exploring the Association Between USMLE Scores and ACGME Milestone Ratings: A Validity Study Using National Data From Emergency Medicine
title_full_unstemmed Exploring the Association Between USMLE Scores and ACGME Milestone Ratings: A Validity Study Using National Data From Emergency Medicine
title_short Exploring the Association Between USMLE Scores and ACGME Milestone Ratings: A Validity Study Using National Data From Emergency Medicine
title_sort exploring the association between usmle scores and acgme milestone ratings: a validity study using national data from emergency medicine
topic Research Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378430/
https://www.ncbi.nlm.nih.gov/pubmed/34133345
http://dx.doi.org/10.1097/ACM.0000000000004207
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