Identifying Substantial Racial and Ethnic Disparities in Health Outcomes and Care in Wisconsin Using Electronic Health Record Data

WMJ. 2021 Mar;120(S1):S13-S16.

Abstract

Background: Our goal was to identify racial and ethnic disparities in health outcome and care measures in Wisconsin.

Methods: We used electronic health record data from 25 health systems submitting to the Wisconsin Collaborative for Healthcare Quality to identify disparities in measures, including vaccinations, screenings, risk factors for chronic disease, and chronic disease management.

Results: American Indian/Alaska Native and Black populations experienced substantial disparities across multiple measures. Asian/Pacific Islander, Hispanic/Latino, and White populations experienced substantial disparities for 2 measures each.

Discussion: Reducing health disparities is a statewide imperative. Root causes of health disparities, such as systemic racism and socioeconomic factors, should be addressed for groups experiencing multiple disparities, with focused efforts on selected measures when indicated.

MeSH terms

  • Electronic Health Records*
  • Ethnicity
  • Humans
  • Outcome Assessment, Health Care
  • Racial Groups*
  • Wisconsin / epidemiology