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

**Authors:** Laurah Turner, Lauren J. Germain, Jeffrey Bird, Michael S. Ryan, Marjorie Westervelt, Josie Suser, Sally A. Santen

PMC · DOI: 10.1007/s40670-025-02435-3 · Medical Science Educator · 2025-08-15

## TL;DR

This paper provides a guide for health educators to detect and address disparities in assessment data based on race and gender.

## Contribution

The paper introduces a five-step advisory guide for identifying and addressing disparities in medical education assessments.

## Key findings

- A consensus-driven advisory guide was developed to address disparities in assessment data.
- Five strategic steps are proposed for detecting and analyzing disparities in medical education.
- The guide includes practical algorithms and strategies for engaging with assessment data.

## 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.

## Full-text entities

- **Diseases:** Disparity (MESH:D011019)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

1 figure with captions in the complete paper: https://tomesphere.com/paper/PMC12812112/full.md

## References

5 references — full list in the complete paper: https://tomesphere.com/paper/PMC12812112/full.md

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Source: https://tomesphere.com/paper/PMC12812112