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From National Policy to Local Practice: A County Health Department's Experience With Race and Ethnicity Data
Farah Kader1, Charis Davidson, Marc Campo
1Author Affiliations: Westchester County Department of Health, White Plains, New York (Ms Kader); and School of Health and Natural Sciences, Mercy University, Dobbs Ferry, New York (Drs Davidson and Campo).
New federal standards require disaggregated race and ethnicity data. This study found younger adults and Spanish speakers were more likely to provide detailed responses, improving health data inclusivity.
Area of Science:
- Public Health
- Health Equity
- Survey Methodology
Background:
- Federal reporting standards for race and ethnicity have been updated under the US Office of Management and Budget's Statistical Policy Directive Number 15 (SPD 15).
- A community-engaged health department implemented COVID-19 health education programs, incorporating a race and ethnicity questionnaire aligned with new federal standards.
Purpose of the Study:
- To examine survey attributes and attendee characteristics associated with disaggregated race and ethnicity responses.
- To inform the design of data instruments compliant with revised SPD 15 requirements.
Main Methods:
- A race and ethnicity questionnaire was developed, consolidating questions, adding a Middle Eastern or North African category, and including disaggregated options based on local ancestries.
- Surveys were administered to attendees of virtual and in-person health information sessions in the New York City metropolitan area between March 2022 and March 2023.
- Primary outcomes included disaggregated race and ethnicity response rates analyzed by race, ethnicity, age, education, gender, and language.
Main Results:
- A total of 984 paper and 335 online surveys were collected in English and Spanish.
- Black or African American respondents were least likely to provide granular racial or ethnic identification.
- Younger adults and Spanish speakers showed higher likelihoods of selecting disaggregated race and ethnicity options, with variations between paper and online formats.
Conclusions:
- Inclusive survey designs are crucial for obtaining precise health data.
- Findings support the development of SPD 15-compliant data instruments for use in communities with medical and government mistrust.
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