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Can ACGME Milestones predict surgical specialty board passage: an example in Obstetrics and Gynecology

BACKGROUND: Multiple tools including Accreditation Council for Graduate Medical Education (ACGME) standardized milestones can be utilized to assess trainee and residency program performance. However, little is known regarding the objective validation of these tools in predicting written board passag...

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Autores principales: Ottum, Sarah, Chao, Conrad, Tamakuwala, Sejal, Dean, Joshua, Shafi, Adib, Kramer, Katherine Jennifer, Kaur, Satinder, Recanati, Maurice-Andre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555913/
https://www.ncbi.nlm.nih.gov/pubmed/34720368
http://dx.doi.org/10.31083/j.ceog4805168
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author Ottum, Sarah
Chao, Conrad
Tamakuwala, Sejal
Dean, Joshua
Shafi, Adib
Kramer, Katherine Jennifer
Kaur, Satinder
Recanati, Maurice-Andre
author_facet Ottum, Sarah
Chao, Conrad
Tamakuwala, Sejal
Dean, Joshua
Shafi, Adib
Kramer, Katherine Jennifer
Kaur, Satinder
Recanati, Maurice-Andre
author_sort Ottum, Sarah
collection PubMed
description BACKGROUND: Multiple tools including Accreditation Council for Graduate Medical Education (ACGME) standardized milestones can be utilized to assess trainee and residency program performance. However, little is known regarding the objective validation of these tools in predicting written board passage. METHODS: In this retrospective study, data was gathered on n = 45 Wayne State University Obstetrics and Gynecology program graduates over the five-year period ending July 2018. United States Medical Licensing Examination (USMLE) scores, Council on Resident Education in Obstetrics and Gynecology (CREOG) in-training scores and ACGME milestones were used to predict American Board of Obstetrics and Gynecology (ABOG) board passage success on first attempt. Significance was set at p < 0.05. RESULTS: Written board passage was associated with average CREOGs (p = 0.01) and milestones (p = 0.008) while USMLE1 was not significantly associated (p = 0.055). USMLE1 <217 (Positive predictive value (PPV) = 96%). CREOGs <197 (PPV = 100%) and milestones <3.25 (PPV = 100%), particularly practice-based learning and systems-based practice milestones were most strongly correlated with board failure. Using a combination of these two milestones, it is possible to correctly predict board passage using our model (PPV = 86%). DISCUSSION: This study is the first validating the utility of milestones in a surgical specialty by demonstrating their ability to predict board passage. Residents with CREOGs or milestones below thresholds are at risk for board failure and may warrant early intervention.
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spelling pubmed-85559132021-10-29 Can ACGME Milestones predict surgical specialty board passage: an example in Obstetrics and Gynecology Ottum, Sarah Chao, Conrad Tamakuwala, Sejal Dean, Joshua Shafi, Adib Kramer, Katherine Jennifer Kaur, Satinder Recanati, Maurice-Andre Clin Exp Obstet Gynecol Article BACKGROUND: Multiple tools including Accreditation Council for Graduate Medical Education (ACGME) standardized milestones can be utilized to assess trainee and residency program performance. However, little is known regarding the objective validation of these tools in predicting written board passage. METHODS: In this retrospective study, data was gathered on n = 45 Wayne State University Obstetrics and Gynecology program graduates over the five-year period ending July 2018. United States Medical Licensing Examination (USMLE) scores, Council on Resident Education in Obstetrics and Gynecology (CREOG) in-training scores and ACGME milestones were used to predict American Board of Obstetrics and Gynecology (ABOG) board passage success on first attempt. Significance was set at p < 0.05. RESULTS: Written board passage was associated with average CREOGs (p = 0.01) and milestones (p = 0.008) while USMLE1 was not significantly associated (p = 0.055). USMLE1 <217 (Positive predictive value (PPV) = 96%). CREOGs <197 (PPV = 100%) and milestones <3.25 (PPV = 100%), particularly practice-based learning and systems-based practice milestones were most strongly correlated with board failure. Using a combination of these two milestones, it is possible to correctly predict board passage using our model (PPV = 86%). DISCUSSION: This study is the first validating the utility of milestones in a surgical specialty by demonstrating their ability to predict board passage. Residents with CREOGs or milestones below thresholds are at risk for board failure and may warrant early intervention. 2021-10-15 /pmc/articles/PMC8555913/ /pubmed/34720368 http://dx.doi.org/10.31083/j.ceog4805168 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY 4.0 license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ottum, Sarah
Chao, Conrad
Tamakuwala, Sejal
Dean, Joshua
Shafi, Adib
Kramer, Katherine Jennifer
Kaur, Satinder
Recanati, Maurice-Andre
Can ACGME Milestones predict surgical specialty board passage: an example in Obstetrics and Gynecology
title Can ACGME Milestones predict surgical specialty board passage: an example in Obstetrics and Gynecology
title_full Can ACGME Milestones predict surgical specialty board passage: an example in Obstetrics and Gynecology
title_fullStr Can ACGME Milestones predict surgical specialty board passage: an example in Obstetrics and Gynecology
title_full_unstemmed Can ACGME Milestones predict surgical specialty board passage: an example in Obstetrics and Gynecology
title_short Can ACGME Milestones predict surgical specialty board passage: an example in Obstetrics and Gynecology
title_sort can acgme milestones predict surgical specialty board passage: an example in obstetrics and gynecology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8555913/
https://www.ncbi.nlm.nih.gov/pubmed/34720368
http://dx.doi.org/10.31083/j.ceog4805168
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