Reassessing the Use of Race in Clinical Algorithms: An Interactive, Case-Based Session for Medical Students Using eGFR

Date of Review: July, 2025

This resource introduces medical students to the misuse of race as a biological construct in medicine, its incorporation into diagnostic testing, and its implications for health equity. Using race-based adjustment in estimated glomerular filtration rate (eGFR) calculations as an example, the curriculum highlights how diagnostic bias can perpetuate inequities in care. The module includes a PowerPoint presentation, a facilitator guide, and pre/post assessments. Sessions were interactive and peer-led by third-year medical students for other medical students. Although the curriculum currently focuses on a single example (eGFR), its one-session format makes it readily adaptable for integration into preclinical or clinical training. It serves as an accessible introduction to the topic, prompting learners to recognize and challenge race-based biases in medical practice. –Dina Ghandour, MD, NCEAS

Corresponding Author’s Email:

joyce-goins@uiowa.edu

Institution:

University of Iowa Roy J. and Lucille A. Carver College of Medicine

Where was the Curriculum Implemented:

Iowa City, Iowa

Relevant Specialty:

Internal Medicine

Outcomes that Have Been Reported for the Curriculum:

Self-reported learner knowledge

Measured learner behavior in simulated setting

Outcome and Study Design:

Pre/Post

Level of Learner Assessment

Knowledge Acquisition (MCQ, IRAT, GRAT)