Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

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

Begale M, Klein D, Klein D, Sawyer S, McCauley J, Shokouhi S, Verdecia M, Sutherland S, 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

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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: The All of Us Research Program

  • Mark Begale; 
  • Dave Klein; 
  • Dave Klein; 
  • Sherilyn Sawyer; 
  • Jacob McCauley; 
  • Sepideh Shokouhi; 
  • Mark Verdecia; 
  • Scott Sutherland; 
  • 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:

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

Methods:

AOU applied digital research methods to facilitate multi-site, hybrid, and remote study participation and multimodal data collection. We collaborated with community members, healthcare provider organizations, and NIH leadership to design, build, and validate a secure, feature-rich digital research platform based upon the core values of AOU. Participants were recruited by many methods, including in-person, print, and online digital campaigns. Participants accessed a secure 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 study staff and researchers to provide remote participant support, study workflow management, participant tracking, data analytics, data harmonization, and data management tools.

Results:

We built a secure, participant-centric digital research platform with engaging functionality used to recruit, engage, and collect data from diverse participants throughout the United States. As of April 2024, 87% of participants enrolled via the platform are 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 user-friendly, 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. Clinical Trial: N/A


 Citation

Please cite as:

Begale M, Klein D, Klein D, Sawyer S, McCauley J, Shokouhi S, Verdecia M, Sutherland S, 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

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.