Abstract

Hot Spotting Chronic Disease Prevalence in the KP Member Population
Track: Health and Human Services
Authors: Katie Clift, Luke Scott, Carlos Gonzalez

In support of Community Health Needs Assessments required by the Patient Protection and Affordable Care Act, we investigated geographic variation in chronic disease prevalence among KP members. The results confirm spatial clustering of certain chronic conditions and highlight where socioeconomic and environmental factors may be contributing to negative health outcomes.

The analysis was conducted at a census tract-based neighborhood level. Health outcomes data were sourced from KP's electronic health record, geocoded to the member's home address, and aggregated to census tracts. To account for variability in KP member counts across census tracts, census tract chronic condition prevalence rates were standardized using members per tract. The Getis-Ord Gi* hotspot algorithm was then run on the standardized rates. The resulting hotspot intensity values highlight where neighborhood rates significantly differ from the overall rate, and provide opportunities for comparison with possible socioeconomic and environmental influences on health outcomes.