Using Geospatial Analysis and Emergency Claims Data to Improve Minority Health Surveillance.

ABSTRACT: Traditional methods of health surveillance often under-represent racial and ethnic minorities. Our objective was to use geospatial analysis and emergency claims data to estimate local chronic disease prevalence separately for specific racial and ethnic groups. We also performed a regression analysis to identify associations between median household income and local disease prevalence among Black, Hispanic, Asian, and White adults in New York City. The study population included individuals who visited an emergency department at least once from 2009 to 2013. Our main outcomes were geospatial estimates of diabetes, hypertension, and asthma prevalence by Census tract as stratified by race and ethnicity. Using emergency claims data, we identified 4.9 million unique New York City adults with 28.

SUBMITTER: Lee DC 

PROVIDER: S-EPMC5803484 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature