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Social determinants of health (SDOH) are key factors impacting personal and population health. Historically, community-level SDOH data served as proxies for person-level data. These data, available from sources like the US Census Bureau and the CDC, enable public health practitioners to better analyze the ecological effects of SDOH. Collecting, storing, and aggregating personal-level SDOH data has become more common, and health centers collect data on individual-level factors using tools like PRAPARE. These data allow health centers to tailor clinical care and treatment plans to individual patient needs. Additionally, because these data are collected in standardized ways, the data can be aggregated to different levels for population health analyses.
During this session, we will discuss how to leverage community and person-level SDOH data to analyze communities (ZCTA-level aggregations) and health center service areas. The session will include an interactive walkthrough of the UDS Mapper. This tool facilitates leveraging data, providing health centers with an improved ability to understand market changes and needs of their patient communities, leading them to make data-driven decisions for organizational changes and appropriate community partnerships to address these changes and needs.
Learning Objectives
Differentiate between community and individual SDOH.
Upload your own area data in the UDS Mapper.
Conduct your own analysis of SDOH and your patients.
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