Workshop Series: Addressing Health Equity through Data Disaggregation
Disaggregated race/ethnicity data is needed to expose gaps in health equities and inform policies and programs and close those gaps. If you work with health data and want to increase population representation, we invite you to join in our technical assistance workshops to address barriers to disaggregation.
The National Network of Health Surveys, part of the UCLA Center for Health Policy Research, is offering 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.
Survey leaders, health data managers, community groups and data users are encouraged to join us for expert-led sessions to work on the more pressing issues of disaggregation.
Disaggregated Racial/Ethnic Data: Considerations for Data Collection and Processing
Wednesday, October 21 | 10 a.m.–11:30 a.m. PT
Question Wording and Response Sets for Disaggregated Racial/Ethnic Data
Friday, October 30 | 10 a.m.–11:30 a.m. PT
Strategies in Mitigating Disclosure Risk in Disaggregated Racial/Ethnic Data
Friday, November 13 | 10 a.m.–11:30 a.m. PT
User Experience Accessing Disaggregated Racial/Ethnic Data
Wednesday, November 18 | 10 a.m.–11:30 a.m. PT
Advanced Weighting Strategies for Disaggregated Racial/Ethnic Data
Friday, December 4 | 10 a.m.–11:30 a.m. PT
Coding and Machine-Learning Strategies for Disaggregated Racial/Ethnic Data
Tuesday, December 15 | 10 a.m.–11:30 a.m. PT
For more detailed information about each workshop, visit the registration website.
All workshops will be held on Zoom
AJ Scheitler, EdD
UCLA Center for Health Policy Research