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Rochester Epidemiology Project (REP)
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Sample details

The REP is a population-based medical records-linkage system designed to support epidemiologic and health services research by enabling comprehensive follow-up of individuals across multiple healthcare providers. As of 2018, the REP includes over 690,000 participants from a 27-county region in southern Minnesota and western Wisconsin, expanding from its original base in Olmsted County in the United States of America. Recruitment began in 1966 in Olmsted County, where individuals were enrolled through their routine visits to local healthcare providers. The project was expanded in 2010 to include additional counties, adding over 540,000 new participants. This was motivated by the need to study rare conditions and underrepresented populations. Participants are followed up continuously through their routine healthcare data, with data updated annually from participating institutions.

Study design
Cohort

Number of participants at first data collection

735,000 (participants)

Recruitment is ongoing

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Service users
Dataset details

Country

United States of America

Year of first data collection

1966

Primary Institutions

Mayo Clinic

Olmsted Medical Center (OMC)

Links

rochesterproject.org/

mayo.edu/research/departments-divisions/quantitative-health-sciences/divisions/epidemiology/research/rochester-epidemiology-project

doi.org/10.1093/ije/dyx268

Profile paper DOI

doi.org/10.1093/ije/dys195

Funders

National Institute on Aging (NIA)

National Institutes of Health (NIH)

Ongoing?
Yes

Data types collected

mentalHealthData
dataLinkage
Quantitative data collection
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Census data
  • Healthcare data
  • Mortality data
Features

Engagement

  • Participant or community advisory groups
  • Community engagement
  • Keywords

    Clinical outcomes
    Diagnostic information
    Disease
    Epidemiology
    Healthcare services
    Lifecourse
    Passive data collection
    Physical health
    Population health
    Trajectory
    Treatment experiences and outcomes
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