Data, Measurement and Equity
To improve equity, first measure it.
STRATIFYING HEDIS MEASURES BY RACE & ETHNICITY
NCQA is expanding the race and ethnicity stratification to 9 HEDIS measures in measurement year 2024, bringing the total number of stratified measures to 22.
Why stratify? Because better transparency into health plan performance by race and ethnicity will help quality advocates understand:
- Where disparities exist, so we can address care gaps.
- Where disparities don’t exist, so the industry can learn from top performers.
To learn more about the HEDIS stratification, see our February 2021, June 2021 and October 2022 webinars, The Future of HEDIS: Health Equity (in Webinar Archives, Episodes 8, 9 and 12). Additionally, please reference our July 2023 webinar on the Race and Ethnicity Stratification Learning Network, to learn more about how plans can improve collection and management of race and ethnicity data.
Here is a quick summary of how the stratification works in HEDIS:
- Align race and ethnicity reporting with Office of Management and Budget categories.
- Include options for “declined” if a member chooses not to provide race or ethnicity.
- Stratify separately by race and ethnicity.
- Allow reporting of self-reported member data and indirect imputed data–regardless of completeness and using separate reporting fields.
- Use existing HEDIS audit and hybrid sampling guidelines.
Stratifying HEDIS measures is part of our agenda to Investigate inequities in care.
Our interest in stratifying measures stems from our belief that improving equity starts with data.
Download the Resource Guide for Auditors.
HEDIS AND HEALTH EQUITY
A June 2021 Issue Brief from NCQA summarizes key considerations in using HEDIS to assess and advance health equity.
- Defining frequently used terms—including terms that are often conflated or misused.
- Using HEDIS to gauge language diversity and racial/ethnic diversity among health plan members.
- Using administrative and community-level proxy data to detect social needs.