ABSTRACT
Background Characterizing the experience and impact of the COVID-19 pandemic among various populations remains challenging due to the limitations inherent in common data sources such as the electronic health record (EHR) or convenience sample surveys.
Objective To describe testing behaviors, symptoms, impact, vaccination status and case ascertainment during the COVID-19 pandemic using integrated data sources.
Methods In summer 2020 and 2021, we surveyed participants enrolled in the Biobank at the Colorado Center for Personalized Medicine (CCPM, N = 180,599) about their experience with COVID-19. Prevalence of testing, symptoms, and the impacts of COVID-19 on employment, family life, and physical and mental health were calculated overall and by demographic categories. Using the Electronic Health Record (EHR), we compared COVID-19 case ascertainment and characteristics in the EHR versus the survey.
Results Of the 25,063 survey respondents (13.9%), 42.5% had been tested for COVID-19 and of those, 12.8% tested positive. Nearly half of those tested had symptoms and/or had been exposed to someone who was infected. Young adults (18-29 years) and Hispanics were more likely to have positive tests compared to older adults and persons of other racial/ethnic groups. Mental health (54.6%) and family life (48.8%) were most negatively affected by the pandemic and more so among younger groups and women; negative impacts on employment were more commonly reported among Black respondents. After integration with EHR data up to the time of the survey completion, 4.0% of survey respondents (n=1,006) had discordant COVID-19 case status between the EHR and the survey. Using all longitudinal EHR and survey data, we identified 11,472 COVID-positive cases among Biobank participants (6.4%). In comparison to COVID-19 cases identified through the survey, EHR-identified cases were younger and more likely to be Hispanic.
Conclusions Integrated data assets such as the Biobank at the CCPM are key resources for population health monitoring in response to public health emergencies, such as the COVID-19 pandemic.
Competing Interest Statement
The authors have declared no competing interest.
Funding Statement
CCPM is supported by UCHealth and the University of Colorado Anschutz Medical Campus. The research derivation of the EHR was made possible by the Health Data Compass Data Warehouse project (healthdatacompass.org). KMM and CRG are partially supported by R01HG011345. The REDCap database in this publication was supported by NIH/NCATS Colorado CTSA Grant Number UL1TR002535.
Author Declarations
I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
Yes
The details of the IRB/oversight body that provided approval or exemption for the research described are given below:
The Colorado Multiple Institutional Review Board (COMIRB No: 15-0461) gave ethical approval for this work.
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Yes
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Footnotes
Trial Registration N/A.
ABBREVIATIONS
- CCPM
- Colorado Center for Personalized Medicine
- EHR
- Electronic Health Record
Paper in collection COVID-19 SARS-CoV-2 preprints from medRxiv and bioRxiv
The Chan Zuckerberg Initiative, Cold Spring Harbor Laboratory, the Sergey Brin Family Foundation, California Institute of Technology, Centre National de la Recherche Scientifique, Fred Hutchinson Cancer Center, Imperial College London, Massachusetts Institute of Technology, Stanford University, University of Washington, and Vrije Universiteit Amsterdam.