Exploring Strategies to Fill Gaps in Medicaid Race, Ethnicity, and Language Data

As states seek to address the social determinants of health and advance health equity, they face longstanding and persistent challenges in collecting complete, accurate, and consistent race, ethnicity and language (REL) data. This expert perspective provides an overview of current REL data collection standards; ideas for increasing completeness in data by engaging the enrollee and enrollment assisters, and modifying enrollment and renewal interface; and provides suggestions for how states could leverage alternative sources of data in order to improve REL data completeness.