Disaggregated race/ethnicity data is needed to expose health inequities and inform policies and programs to address those inequities. In this webinar, four researchers talk about data disaggregation and working with collecting data for populations in New York, one of the most diverse populations in the U.S. and in the world.
 

About the National Network of Health Surveys' Advancing Health Equity Through Data Disaggregation Workshop Series

Disaggregated race/ethnicity data is needed to expose gaps in health equities and inform policies and programs and close those gaps. The National Network of Health Surveys, part of the UCLA Center for Health Policy Research, offers a series of workshops designed to improve the disaggregation of race and ethnicity measures in health data sources. Our goal is to boost the number of subpopulation categories made available to key constituencies working to improve health equity. This is especially important for representing communities that are often “hidden” in large health data sets.