Epidemiol Health.  2023;45(1):e2023074. 10.4178/epih.e2023074.

Epidemiologic Questionnaire (EPI-Q) – a scalable, app-based health survey linked to electronic health record and genotype data

Affiliations
  • 1Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
  • 2Center for Precision Health Data Science, University of Michigan, Ann Arbor, MI, USA
  • 3Department of Epidemiology, University of Michigan, Ann Arbor, MI, USA
  • 4Rogel Cancer Center, University of Michigan, Ann Arbor, MI, USA
  • 5Precision Health, University of Michigan, Ann Arbor, MI, USA
  • 6Survey Research Center, Institute for Social Research, Ann Arbor, MI, USA
  • 7Anesthesiology, Michigan Medicine, Ann Arbor, MI, USA

Abstract

The Epidemiologic Questionnaire (EPI-Q) was established to collect broad, uniform, self-reported health data to supplement electronic health record (EHR) and genotype information from participants in the University of Michigan (UM) Precision Health cohorts. Recruitment of EPI-Q participants, who were already enrolled in 1 of 3 ongoing UM Precision Health cohorts—the Michigan Genomics Initiative, Mental Health Biobank, and Metabolism, Endocrinology, and Diabetes cohorts—began in March 2020. Of 54,043 retrospective invitations, 5,577 individuals enrolled, representing a 10.3% response rate. Of these, 3,502 (63.7%) were female, and the average age was 56.1 years (standard deviation, 15.4). The baseline survey comprises 11 modules on topics including personal and family health history, lifestyle, and cancer screening and history. Additionally, 11 optional modules cover topics including financial toxicity, occupational exposure, and life meaning. The questions are based on standardized and validated instruments used in other cohorts, and we share resources to expedite development of similar surveys. Data are collected via the MyDataHelps platform, which enables current and future participants to share non-Michigan Medicine EHR data. Recruitment is ongoing. Cohort data are available to those with institutional review board approval; for details, contact the Data Office for Clinical and Translational Research (DataOffice@umich.edu).

Keyword

Survey; Electronic health records; Genetics; Epidemiology; Biobank
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