Assessing Justice, Equity, Diversity, and Inclusion Best Practices for Test Item Writing at a Physician Assistant Program: A Retrospective Analysis

Author:

Wright Hannah R.,Nelson Courtney E.,Toussaint Michele,Ip Eric J.

Abstract

Introduction Outcomes for specific racial and ethnic groups during the COVID-19 pandemic and the widespread protests demanding racial justice in 2020 renewed a focus on health equity practices and bias in medical education. Routine inclusion of sociodemographic identifiers such as sex/gender, age, race, and/or ethnicity in test items risks perpetuation of implicit bias and race-based practices in medical education. Methods A retrospective review was conducted of test items in a pathophysiology course series at an academic medical center in the Western United States. Sociodemographic identifiers in multiple choice test items were reviewed to determine clinical relevance. Results Of 795 test items, 475 referred to sociodemographic information (gender, race/ethnicity, age, sexual orientation) and in only 27.5% of questions, this inclusion was clinically relevant (131/475). Discussion Current evidence suggests that routine inclusion of sociodemographic information in test items infrequently supports the clinical diagnosis and perpetuates implicit bias and race-based practices in medical education. Thoughtful inclusion of sociodemographic information in assessment offers an opportunity to address sociostructural determinants of health.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Reference11 articles.

1. Race in a genome: long read sequencing, ethnicity-specific reference genomes and the shifting horizon of race;Kowal;J Anthropol Sci,2019

2. Race based medicine, colorblind disease: how racism in medicine harms us all;Yearby;Am J Bioeth,2021

3. From race-based to race-conscious medicine: how anti-racist uprisings call us to act;Cerdeña;Lancet,2020

4. NIH must confront the use of race in science;Yudell;Science,2020

5. Racism, COVID-19, and health inequity in the USA: a call to action [published online ahead of print, 2020 Nov 16];Johnson-Agbakwu;J Racial Ethn Health Disparities,2020

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