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Using Longitudinal Milestones Data and Learning Analytics to Facilitate the Professional Development of Residents: Early Lessons From Three Specialties
To investigate the effectiveness of using national, longitudinal milestones data to provide formative assessments to identify residents at risk of not achieving recommended competency milestone goals by residency completion. The investigators hypothesized that specific, lower milestone ratings at ea...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published for the Association of American Medical Colleges by Lippincott Williams & Wilkins
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924938/ https://www.ncbi.nlm.nih.gov/pubmed/31348058 http://dx.doi.org/10.1097/ACM.0000000000002899 |
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author | Holmboe, Eric S. Yamazaki, Kenji Nasca, Thomas J. Hamstra, Stanley J. |
author_facet | Holmboe, Eric S. Yamazaki, Kenji Nasca, Thomas J. Hamstra, Stanley J. |
author_sort | Holmboe, Eric S. |
collection | PubMed |
description | To investigate the effectiveness of using national, longitudinal milestones data to provide formative assessments to identify residents at risk of not achieving recommended competency milestone goals by residency completion. The investigators hypothesized that specific, lower milestone ratings at earlier time points in residency would be predictive of not achieving recommended Level (L) 4 milestones by graduation. METHOD: In 2018, the investigators conducted a longitudinal cohort study of emergency medicine (EM), family medicine (FM), and internal medicine (IM) residents who completed their residency programs from 2015 to 2018. They calculated predictive values and odds ratios, adjusting for nesting within programs, for specific milestone rating thresholds at 6-month intervals for all subcompetencies within each specialty. They used final milestones ratings (May–June 2018) as the outcome variables, setting L4 as the ideal educational outcome. RESULTS: The investigators included 1,386 (98.9%) EM residents, 3,276 (98.0%) FM residents, and 7,399 (98.0%) IM residents in their analysis. The percentage of residents not reaching L4 by graduation ranged from 11% to 31% in EM, 16% to 53% in FM, and 5% to 15% in IM. Using a milestone rating of L2.5 or lower at the end of post-graduate year 2, the predictive probability of not attaining the L4 milestone graduation goal ranged from 32% to 56% in EM, 32% to 67% in FM, and 15% to 36% in IM. CONCLUSIONS: Longitudinal milestones ratings may provide educationally useful, predictive information to help individual residents address potential competency gaps, but the predictive power of the milestones ratings varies by specialty and subcompetency within these 3 adult care specialties. |
format | Online Article Text |
id | pubmed-6924938 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Published for the Association of American Medical Colleges by Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-69249382020-01-23 Using Longitudinal Milestones Data and Learning Analytics to Facilitate the Professional Development of Residents: Early Lessons From Three Specialties Holmboe, Eric S. Yamazaki, Kenji Nasca, Thomas J. Hamstra, Stanley J. Acad Med Research Reports To investigate the effectiveness of using national, longitudinal milestones data to provide formative assessments to identify residents at risk of not achieving recommended competency milestone goals by residency completion. The investigators hypothesized that specific, lower milestone ratings at earlier time points in residency would be predictive of not achieving recommended Level (L) 4 milestones by graduation. METHOD: In 2018, the investigators conducted a longitudinal cohort study of emergency medicine (EM), family medicine (FM), and internal medicine (IM) residents who completed their residency programs from 2015 to 2018. They calculated predictive values and odds ratios, adjusting for nesting within programs, for specific milestone rating thresholds at 6-month intervals for all subcompetencies within each specialty. They used final milestones ratings (May–June 2018) as the outcome variables, setting L4 as the ideal educational outcome. RESULTS: The investigators included 1,386 (98.9%) EM residents, 3,276 (98.0%) FM residents, and 7,399 (98.0%) IM residents in their analysis. The percentage of residents not reaching L4 by graduation ranged from 11% to 31% in EM, 16% to 53% in FM, and 5% to 15% in IM. Using a milestone rating of L2.5 or lower at the end of post-graduate year 2, the predictive probability of not attaining the L4 milestone graduation goal ranged from 32% to 56% in EM, 32% to 67% in FM, and 15% to 36% in IM. CONCLUSIONS: Longitudinal milestones ratings may provide educationally useful, predictive information to help individual residents address potential competency gaps, but the predictive power of the milestones ratings varies by specialty and subcompetency within these 3 adult care specialties. Published for the Association of American Medical Colleges by Lippincott Williams & Wilkins 2020-01 2019-07-23 /pmc/articles/PMC6924938/ /pubmed/31348058 http://dx.doi.org/10.1097/ACM.0000000000002899 Text en © 2019 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Association of American Medical Colleges. 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) (http://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. |
spellingShingle | Research Reports Holmboe, Eric S. Yamazaki, Kenji Nasca, Thomas J. Hamstra, Stanley J. Using Longitudinal Milestones Data and Learning Analytics to Facilitate the Professional Development of Residents: Early Lessons From Three Specialties |
title | Using Longitudinal Milestones Data and Learning Analytics to Facilitate the Professional Development of Residents: Early Lessons From Three Specialties |
title_full | Using Longitudinal Milestones Data and Learning Analytics to Facilitate the Professional Development of Residents: Early Lessons From Three Specialties |
title_fullStr | Using Longitudinal Milestones Data and Learning Analytics to Facilitate the Professional Development of Residents: Early Lessons From Three Specialties |
title_full_unstemmed | Using Longitudinal Milestones Data and Learning Analytics to Facilitate the Professional Development of Residents: Early Lessons From Three Specialties |
title_short | Using Longitudinal Milestones Data and Learning Analytics to Facilitate the Professional Development of Residents: Early Lessons From Three Specialties |
title_sort | using longitudinal milestones data and learning analytics to facilitate the professional development of residents: early lessons from three specialties |
topic | Research Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6924938/ https://www.ncbi.nlm.nih.gov/pubmed/31348058 http://dx.doi.org/10.1097/ACM.0000000000002899 |
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