Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model

Jimmy Phuong; Elizabeth Zampino; Nicholas Dobbins; Juan Espinoza; Daniella Meeker; Heidi Spratt; Charisse Madlock-Brown; Nicole G Weiskopf; Adam Wilcox

Extracting Patient-level Social Determinants of Health into the OMOP Common Data Model

AMIA Annu Symp Proc. 2022 Feb 21:2021:989-998. eCollection 2021.

Authors

Jimmy Phuong^{1

2}, Elizabeth Zampino^{1

2}, Nicholas Dobbins^{1

2}, Juan Espinoza³, Daniella Meeker⁴, Heidi Spratt⁵, Charisse Madlock-Brown⁶, Nicole G Weiskopf⁷, Adam Wilcox¹

Affiliations

¹ Division of Biomedical and Health Informatics, UW Medicine, Seattle, Washington.
² University of Washington Medicine Research IT, Seattle, Washington.
³ Department of Pediatrics, Children's Hospital Los Angeles, Los Angeles, CA.
⁴ Department of Preventive Medicine, University of Southern California, Los Angeles, California.
⁵ Preventative Medicine and Population Health, University of Texas Medical Branch, Galveston, Texas.
⁶ Dept of Health Informatics and Information Management, University of Tennessee Health Science Center, Memphis, Tennessee.
⁷ Department of Medical Informatics and Clinical Epidemiology, OHSU, Portland, Oregon.

PMID: 35308947
PMCID: PMC8861735

Abstract

Deficiencies in data sharing capabilities limit Social Determinants of Health (SDoH) analysis as part of COVID-19 research. The National COVID Cohort Collaborative (N3C) is an example of an Electronic Health Record (EHR) database of patients tested for COVID-19 that could benefit from a SDoH elements framework that captures various screening instruments in EHR data warehouse systems. This paper uses the University of Washington Enterprise Data Warehouse (a data contributor to N3C) to demonstrate how SDoH can be represented and managed to be made available within an OMOP common data model. We found that these data varied by type of social determinants data and where it was collected, in the time period that it was collected, and in how it was represented.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't

MeSH terms

COVID-19* / epidemiology
Electronic Health Records
Humans
Mass Screening
Social Determinants of Health*
Surveys and Questionnaires

Abstract

Publication types

MeSH terms

Grants and funding