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One Institution’s evaluation of family medicine residency applicant data for academic predictors of success
BACKGROUND: Family Medicine residencies are navigating recruitment in a changing environment. The consolidation of accreditation for allopathic and osteopathic programs, the high volume of applicants, and the forthcoming transition of the United States Medical Licensing Exam (USMLE) Step 1 to pass/f...
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/PMC7851804/ https://www.ncbi.nlm.nih.gov/pubmed/33530993 http://dx.doi.org/10.1186/s12909-021-02518-w |
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author | Busha, Michael E. McMillen, Brock Greene, Jeffrey Gibson, Kristine Milnes, Charlotte Ziemkowski, Peter |
author_facet | Busha, Michael E. McMillen, Brock Greene, Jeffrey Gibson, Kristine Milnes, Charlotte Ziemkowski, Peter |
author_sort | Busha, Michael E. |
collection | PubMed |
description | BACKGROUND: Family Medicine residencies are navigating recruitment in a changing environment. The consolidation of accreditation for allopathic and osteopathic programs, the high volume of applicants, and the forthcoming transition of the United States Medical Licensing Exam (USMLE) Step 1 to pass/fail reporting all contribute. This retrospective cohort study evaluated which components of a student’s academic history best predict readiness for residency. METHODS: In 2020, we analyzed applicant data and initial residency data for program graduates at a single residency program between 2013 and 2020. This included undergraduate education characteristics, medical school academic performance, medical school academic problems (including professionalism), STEP exams, location of medical school, and assessments during the first 6 months of residency. Of 110 matriculating residents, assessment data was available for 97 (88%). RESULTS: Pre-matriculation USMLE data had a positive correlation with initial American Board of Family Medicine (ABFM) in-training exams. Pre-matriculation exam data did not have a positive correlation with resident assessment across any of the six Accreditation Council for Graduate Medical Education (ACGME) competency domains. A defined cohort of residents with a history of academic struggles during medical school or failure on a USMLE exam performed statistically similarly to residents with no such history on assessments across the six ACGME competency domains. CONCLUSIONS: Applicants with a history of academic problems perform similarly in the clinical environment to those without. While a positive correlation between pre-matriculation exams and the ABFM in-training exam was found, this did not extend to clinical assessments across the ACGME competency domains. |
format | Online Article Text |
id | pubmed-7851804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78518042021-02-02 One Institution’s evaluation of family medicine residency applicant data for academic predictors of success Busha, Michael E. McMillen, Brock Greene, Jeffrey Gibson, Kristine Milnes, Charlotte Ziemkowski, Peter BMC Med Educ Research Article BACKGROUND: Family Medicine residencies are navigating recruitment in a changing environment. The consolidation of accreditation for allopathic and osteopathic programs, the high volume of applicants, and the forthcoming transition of the United States Medical Licensing Exam (USMLE) Step 1 to pass/fail reporting all contribute. This retrospective cohort study evaluated which components of a student’s academic history best predict readiness for residency. METHODS: In 2020, we analyzed applicant data and initial residency data for program graduates at a single residency program between 2013 and 2020. This included undergraduate education characteristics, medical school academic performance, medical school academic problems (including professionalism), STEP exams, location of medical school, and assessments during the first 6 months of residency. Of 110 matriculating residents, assessment data was available for 97 (88%). RESULTS: Pre-matriculation USMLE data had a positive correlation with initial American Board of Family Medicine (ABFM) in-training exams. Pre-matriculation exam data did not have a positive correlation with resident assessment across any of the six Accreditation Council for Graduate Medical Education (ACGME) competency domains. A defined cohort of residents with a history of academic struggles during medical school or failure on a USMLE exam performed statistically similarly to residents with no such history on assessments across the six ACGME competency domains. CONCLUSIONS: Applicants with a history of academic problems perform similarly in the clinical environment to those without. While a positive correlation between pre-matriculation exams and the ABFM in-training exam was found, this did not extend to clinical assessments across the ACGME competency domains. BioMed Central 2021-02-02 /pmc/articles/PMC7851804/ /pubmed/33530993 http://dx.doi.org/10.1186/s12909-021-02518-w 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 Busha, Michael E. McMillen, Brock Greene, Jeffrey Gibson, Kristine Milnes, Charlotte Ziemkowski, Peter One Institution’s evaluation of family medicine residency applicant data for academic predictors of success |
title | One Institution’s evaluation of family medicine residency applicant data for academic predictors of success |
title_full | One Institution’s evaluation of family medicine residency applicant data for academic predictors of success |
title_fullStr | One Institution’s evaluation of family medicine residency applicant data for academic predictors of success |
title_full_unstemmed | One Institution’s evaluation of family medicine residency applicant data for academic predictors of success |
title_short | One Institution’s evaluation of family medicine residency applicant data for academic predictors of success |
title_sort | one institution’s evaluation of family medicine residency applicant data for academic predictors of success |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7851804/ https://www.ncbi.nlm.nih.gov/pubmed/33530993 http://dx.doi.org/10.1186/s12909-021-02518-w |
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