Uncovering Disparities in Medical Education: Advisory Guide of Strategies and Best Practices for Illuminating Blind Spots

Assessment and grading are prone to disparities based on race and ethnicity. Health professions educators need a guide for how to strategically navigate assessment data. This monograph provides a consensus-driven advisory guide, drawing upon common challenges schools face when detecting, measuring, and analyzing gender/racial disparities, and shares practical algorithms and strategies for engaging with the data. Five steps are proposed: create a process diagram; identify assessment data sources and potential manifestations of disparities and inequities in assessments; consider other variables when analyzing data; choose analytical approaches to evaluate sources of disparities; and identify potential threats and challenges.

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Publication Details

Journal
Medical Science Educator
Published
2025-08-15
DOI
https://doi.org/10.1007/s40670-025-02435-3
Primary Topic
Medical Education and Admissions
Type
article
Field-Weighted Citation Impact
0.00
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article

Uncovering Disparities in Medical Education: Advisory Guide of Strategies and Best Practices for Illuminating Blind Spots

Jeffrey B. Bird, Marjorie Westervelt, Laurah Turner, Lauren J. Germain et al.
Medical Science Educator
Medical Education and Admissions
article

Uncovering Disparities in Medical Education: Advisory Guide of Strategies and Best Practices for Illuminating Blind Spots

Jeffrey B. Bird, Marjorie Westervelt, Laurah Turner, Lauren J. Germain, Michael S. Ryan, Sally A. Santen, Josie Suser
article en

Abstract

Assessment and grading are prone to disparities based on race and ethnicity. Health professions educators need a guide for how to strategically navigate assessment data. This monograph provides a consensus-driven advisory guide, drawing upon common challenges schools face when detecting, measuring, and analyzing gender/racial disparities, and shares practical algorithms and strategies for engaging with the data. Five steps are proposed: create a process diagram; identify assessment data sources and potential manifestations of disparities and inequities in assessments; consider other variables when analyzing data; choose analytical approaches to evaluate sources of disparities; and identify potential threats and challenges.

Medical Science EducatorVol. 35(5)
Hofstra University (US), Baylor College of Medicine (US), Virginia Commonwealth University (US), SUNY Upstate Medical University (US), University of Virginia (US), University of Cincinnati (US), University of Cincinnati Medical Center (US)
Quality Education
Openalex Percentile: Top 71%
Medical Education and Admissions
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