Demographic differences in willingness to share electronic health records in the All of Us Research Program

Author:

Joseph Christine L M1,Tang Amy1,Chesla David W2,Epstein Mara M34,Pawloski Pamala A5,Stevens Alan B6,Waring Stephen C7,Ahmedani Brian K8,Johnson Christine C1,Peltz-Rauchman Cathryn D1

Affiliation:

1. Henry Ford Health System, Public Health Sciences , Detroit, Michigan, USA

2. Spectrum Health, Research and Development, Grand Rapids, Michigan, USA

3. The Meyers Primary Care Institute , Worcester, Massachusetts, USA

4. Department of Medicine, University of Massachusetts Medical School , Worcester, Massachusetts, USA

5. Health Partners Institute , Bloomington, Minnesota, USA

6. Baylor Scott and White Medical Center Temple, Center for Applied Health Research , Temple, Texas, USA

7. Essentia Institute for Rural Health, Division of Research , Duluth, Minnesota, USA

8. Henry Ford Health System, Center for Health Policy and Health Services Research , Detroit, Michigan, USA

Abstract

Abstract Objective Participant willingness to share electronic health record (EHR) information is central to success of the National Institutes of Health All of Us Research Program (AoURP). We describe the demographic characteristics of participants who decline access to their EHR data. Materials and Methods We included participants enrolling in AoURP between June 6, 2017 and December 31, 2019 through the Trans-American Consortium for the Health Care Systems Research Network (TACH). TACH is a consortium of health care systems spanning 6 states, and an AoURP research partner. Results We analyzed data for 25 852 participants (89.3% of those enrolled). Mean age = 52.0 years (SD 16.8), with 66.5% White, 18.7% Black/African American, 7.7% Hispanic, 32.5% female, and 76% with >a high school diploma. Overall, 2.3% of participants declined to share access to their EHR data (range across TACH sites = 1.3% to 3.5%). Younger age, female sex, and education >high school were significantly associated with decline to share EHR data, odds ratio (95% confidence interval) = 1.26 (1.19–1.33), 1.74 (1.42–2.14), and 2.44 (1.86–3.21), respectively. Results were similar when several sensitivity analyses were performed. Discussion AoURP seeks a dataset reflecting our nation’s diversity in all aspects of participation. Those under-represented in biomedical research may be reluctant to share access to their EHR data. Conclusion In our data, race and ethnicity were not independently related to participant decision to decline access to their EHR information. Results suggest that the value of the AoURP dataset is unlikely to be constrained by the size or the racial/ethnic composition of this subgroup.

Funder

National Institute of Health

Publisher

Oxford University Press (OUP)

Subject

Health Informatics

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