Concordance Between Survey and Electronic Health Record Data in the COVID-19 Citizen Science Study: Retrospective Cohort Analysis.

ABSTRACT:

Background

Real-world data reported by patients and extracted from electronic health records (EHRs) are increasingly leveraged for research, policy, and clinical decision-making. However, it is not always obvious the extent to which these 2 data sources agree with each other.

Objective

This study aimed to evaluate the concordance of variables reported by participants enrolled in an electronic cohort study and data available in their EHRs.

Methods

Survey data from COVID-19 Citizen Science, an electronic cohort study, were linked to EHR data from 7 health systems, comprising 34,908 participants. Concordance was evaluated for demographics, chronic conditions, and COVID-19 characteristics. Overall agreement, sensitivity, specificity, positive predictive value, negative pr

SUBMITTER: Crull E 

PROVIDER: S-EPMC12303549 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature