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14. Using EHR Data to Identify Wisconsin ZIP Codes with High Percentages of Adults at Risk for Sever

 

 

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 PRESENTATION SUMMARY
Background The University of Wisconsin Institute for Clinical and Translational Research (ICTR) Neighborhood Health Partnerships (NHP) Program aims to advance the health of Wisconsin communities by reducing barriers to learn, act, and sustain improvements. In the midst of the COVID-19 pandemic, the program team leveraged the existing NHP data infrastructure to rapidly provide public health decision makers in Wisconsin with county-level maps and reports that identified ZIP codes with high numbers or percentages of people at risk for severe complications from COVID-19. Reports/maps included the severe COVID-19 risk factors that were published by the Centers for Disease Control and Prevention (CDC) and could be reliably identified in electronic health record data.   Methods Through a partnership with the Wisconsin Collaborative for Healthcare Quality (WCHQ), the data used in the reports/maps includes electronic health record (EHR) data from 21 health system members of WCHQ, representing approximately 65% of Wisconsin's primary care providers. These EHR data include most of the conditions recognized by the CDC that increase one's risk for severe complications from COVID-19.1  Results We had sufficient data coverage to create reports for 58 Wisconsin counties and 2 Iowa counties. For 15% of ZIP codes, over 35% of their population had 2 or more risk factors for severe complications from COVID-19. The reports were made available to 21 health systems for their patient populations. We delivered 157 county reports to 16 unique local or state health departments and health systems.   Implications Electronic health record data from primary care proved to be useful in identifying areas with a large proportion of individuals at risk for severe complications from COVID-19.  Upon requesting the reports, requestors were asked what the intended use of the reports were. These included: Prepare for the impact of COVID-19 in their community, better understand the populations that are more vulnerable and help prepare for a potential surge, help focus outreach and collaborative efforts to provide access to information, screening, testing and other resources related to COVID-19, guide decisions regarding personal protective equipment (PPE) distribution and identify communication priorities, and aid in modeling potential hospitalization rates. Reports/maps are expected to continue to be useful as the pandemic continues to expand into rural communities that have not yet been impacted and where resources are scarce.
 CONTACT INFORMATION

Jessica Bonham-Werling - jessica.bonhamwerling@wisc.edu 
Health Innovation Program

Korina Hendricks, Lauren Bednarz
Health Innovation Program

 

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