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Landscape of racial and ethnic health disparities in the All of Us Research Program.
- Source :
-
Database : the journal of biological databases and curation [Database (Oxford)] 2024 Aug 30; Vol. 2024. - Publication Year :
- 2024
-
Abstract
- The All of Us Research Program ("All of Us") is an initiative led by the National Institutes of Health whose goal is to advance research on personalized medicine and health equity through the collection of genetic, environmental, demographic, and health data from volunteer participants who reside in the USA. The program's emphasis on recruiting a diverse participant cohort makes "All of Us" an effective platform for investigating health disparities. In this work, we analyzed participant electronic health record (EHR) data to identify the diseases and disease categories in the "All of Us" cohort for which racial and ethnic prevalence disparities can be observed. In conjunction with these analyses, we developed the US Health Disparities Browser as an interactive web application that enables users to visualize differences in race- and ethnic-group-specific prevalence estimates for 1755 different diseases: https://usdisparities.biosci.gatech.edu/. The web application features a catalog of all diseases represented in the browser, which can be sorted by overall prevalence as well as the variance in prevalence across racial and ethnic groups. The analyses outlined here provide details on the nature and extent of racial and ethnic health disparities in the "All of Us" participant cohort, and the accompanying browser can serve as a resource through which researchers can explore these disparities Database URL: https://usdisparities.biosci.gatech.edu.<br /> (Published by Oxford University Press 2024. This work is written by (a) US Government employee(s) and is in the public domain in the US.)
Details
- Language :
- English
- ISSN :
- 1758-0463
- Volume :
- 2024
- Database :
- MEDLINE
- Journal :
- Database : the journal of biological databases and curation
- Publication Type :
- Academic Journal
- Accession number :
- 39213390
- Full Text :
- https://doi.org/10.1093/database/baae082