| Literature DB >> 35308947 |
Jimmy Phuong1,2, Elizabeth Zampino1,2, Nicholas Dobbins1,2, Juan Espinoza3, Daniella Meeker4, Heidi Spratt5, Charisse Madlock-Brown6, Nicole G Weiskopf7, Adam Wilcox1.
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. ©2021 AMIA - All rights reserved.Entities:
Mesh:
Year: 2022 PMID: 35308947 PMCID: PMC8861735
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN: 1559-4076