Disaggregated Racial/Ethnic Data: Considerations for Data Collection and Processing
Disaggregated Racial/Ethnic Data: Considerations for Data Collection and Processing
Published: 10/17/2020

The workshop explores effective strategies to ensure your data represents the true diversity of your population. The discussion includes decision-making approaches, community engagement strategies, and case studies in survey science. Following the presentation, Dr. Ninez Ponce, CHPR Director, leads activities and provide opportunities to discuss specific project needs.
 

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.

Ninez A. Ponce
Ninez A. Ponce, PhD, MPP
Director, UCLA Center for Health Policy Research
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