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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: May 3, 2024
Open Peer Review Period: May 9, 2024 - Jul 4, 2024
Date Accepted: Nov 25, 2024
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Building a Digital Health Research Platform to Enable Recruitment, Enrollment, Data Collection, and Follow-Up for a Highly Diverse Longitudinal US Cohort of 1 Million People in the All of Us Research Program: Design and Implementation Study

Klein D, Montgomery A, Begale M, Sutherland S, Sawyer S, McCauley J, Shokouhi S, Verdecia M, Husbands L, Joshi D, Ashbeck A, Palmer M, Jain P

Building a Digital Health Research Platform to Enable Recruitment, Enrollment, Data Collection, and Follow-Up for a Highly Diverse Longitudinal US Cohort of 1 Million People in the All of Us Research Program: Design and Implementation Study

J Med Internet Res 2025;27:e60189

DOI: 10.2196/60189

PMID: 39813673

PMCID: 11780292

Building a Digital Health Research Platform to Enable Recruitment, Enrollment, Data Collection and Follow Up for a Highly Diverse Longitudinal United States Cohort of 1 Million People: The All of Us Research Program

  • Dave Klein; 
  • Aisha Montgomery; 
  • Mark Begale; 
  • Scott Sutherland; 
  • Sherilyn Sawyer; 
  • Jacob McCauley; 
  • Sepideh Shokouhi; 
  • Mark Verdecia; 
  • Letheshia Husbands; 
  • Deepti Joshi; 
  • Alan Ashbeck; 
  • Marcy Palmer; 
  • Praduman Jain

ABSTRACT

Background:

Longitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital platforms can be used to increase participant access, improve study engagement, streamline data collection, and increase data quality; however, the efficacy and sustainability of digitally enabled studies rely heavily on the design, implementation, and management of the digital platform being used.

Objective:

We sought to design and build a secure, privacy-preserving, validated, participant-centric digital research platform to recruit, enroll, collect multi-modal data, and engage participants from diverse backgrounds in the National Institutes of Health’s (NIH) All of Us Research Program (AOU). AOU is an ongoing national, multiyear study aimed to build a research cohort of 1,000,000 participants that reflects the diversity of the United States, including minority, health disparate, and other populations underrepresented in biomedical research (UBR).

Methods:

We collaborated with community members, healthcare provider organizations, and NIH leadership to design, build, and validate a secure, feature-rich digital platform to facilitate multi-site, hybrid, and remote study participation and multimodal data collection in AOU. Participants were recruited by in-person, print, and online digital campaigns. Participants securely accessed the digital research platform via web and mobile applications, either independently or with research staff support. The participant-facing tool facilitated electronic consent, multi-source data collection, including surveys, genomic results, wearables, electronic health records, and ongoing participant engagement. We also built tools for research staff to conduct remote participant support, study workflow management, participant tracking, data analytics, data harmonization, and data management.

Results:

We built a secure, participant-centric digital research platform with engaging functionality used to recruit, engage, and collect data from 705,719 diverse participants throughout the United States. As of April 2024, 87% of participants enrolled via the platform were from UBR groups, including racial and ethnic minorities (46%), rural dwelling individuals (8%), those over the age of 65 (31%), and individuals with low socioeconomic status (20%).

Conclusions:

This digital research platform demonstrated successful use among diverse participants. We built a participant-centric digital platform with tools to enable engagement with individuals from different racial, ethnic, socioeconomic, and other UBR groups. These findings could be used as best practices for effective use of digital platforms to build and sustain cohorts of various study designs to increase engagement with diverse populations in health research.


 Citation

Please cite as:

Klein D, Montgomery A, Begale M, Sutherland S, Sawyer S, McCauley J, Shokouhi S, Verdecia M, Husbands L, Joshi D, Ashbeck A, Palmer M, Jain P

Building a Digital Health Research Platform to Enable Recruitment, Enrollment, Data Collection, and Follow-Up for a Highly Diverse Longitudinal US Cohort of 1 Million People in the All of Us Research Program: Design and Implementation Study

J Med Internet Res 2025;27:e60189

DOI: 10.2196/60189

PMID: 39813673

PMCID: 11780292

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