This paper links Medicaid and restricted ACS microdata to evaluate social determinants of health of Medicaid enrollees during the COVID-19 pandemic.

The paper uses the Linked Retail Health Clinic (LiHRC) database combined with census tract-level social determinants data to compare characteristics of populations living near retail health clinics.

In collaboration with the University of North Carolina at Chapel Hill (UNC), we evaluated the representativeness of electronic health records by linking them at the individual level to restricted, nationally representative ACS microdata.

In collaboration with the American Board of Family Medicine (ABFM) and Stanford University, we evaluated race and ethnicity reporting across administrative sources to assess how discordant information impacts estimation of disease prevalence.

In collaboration with external researchers, this study compared physician incomes across the United States, Canada, Sweden, and the Netherlands.

In collaboration with external researchers, this study compared physician incomes across the United States, Canada, Sweden, and the Netherlands.

In collaboration with the University of North Carolina at Chapel Hill (UNC), this work assessed how well patients represented North Carolina by linking electronic health records with publicly available 5-year ACS census tract data.

The authors evaluated the completeness of death information in Medicaid administrative records, revealing substantial variation in underreporting across states and beneficiary groups.