Assessing individual- and neighborhood-level indicators of social determinants of health (SDoH) as predictors of COVID-19 outcomes
The goal of the study is to contribute to the knowledge on COVID-19 inequities and identify population groups and communities at greater risk for adverse COVID-19 outcomes. The researchers will use patient-level longitudinal electronic health records from a cohort of patients in the HealthShare Exchange (HSX) Clinical Data Repository linked to neighborhood-level data for several socioeconomic and built environment characteristics. They will assess whether individual- and neighborhood-level indicators of Social Determinants of Health (SDOH) predict COVID-19 hospitalization and deaths in a large and diverse cohort of patients. The researchers will also identify and validate a set of indicators of SDOH that can be used to guide policy by identifying communities at high risk of exposure to and adverse outcomes from COVID-19, including poor and minoritized groups.
- Pricila Mullachery, PhD, MPH, Principal Investigator
- Usama Bilal, MD, PhD, MPH, PhD, Co-Investigator
- Leslie McClure, PhD, MS, Co-Investigator
- Ran Li, MS, Analytics Engineer
- HealthShare Exchange (HSX)
This project is funded by the Robert Wood Johnson Foundation's Health Data for Action (HD4A) program, managed by AcademyHealth.