Evidence map›Paper›PMID 39813673›Full record

ArticleJournal of medical Internet research2025

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.

Dave Klein, Aisha Montgomery, Mark Begale, Scott Sutherland, Sherilyn Sawyer, Jacob L McCauley, Letheshia Husbands, Deepti Joshi, Alan Ashbeck, Marcy Palmer and 1 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Dave KleinVibrent Health, Inc, Fairfax, VA, United States.ORCID 0000-0001-9960-3773
Aisha MontgomeryVibrent Health, Inc, Fairfax, VA, United States.ORCID 0000-0003-0175-3437
Mark BegaleVibrent Health, Inc, Fairfax, VA, United States.ORCID 0000-0002-3598-4498
Scott SutherlandVibrent Health, Inc, Fairfax, VA, United States.ORCID 0009-0009-0867-0854
Sherilyn SawyerBoston VA Research Institute, VA Boston Health Care, Veterans Administration, Boston, MA, United States.ORCID 0000-0002-7000-6016
Jacob L McCauleyJohn P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, United States.ORCID 0000-0002-1805-1733
Letheshia HusbandsThe Task Force for Global Health, Inc, Decatur, GA, United States.ORCID 0009-0001-5674-7416
Deepti JoshiVibrent Health, Inc, Fairfax, VA, United States.ORCID 0000-0001-7217-7217
Alan AshbeckVibrent Health, Inc, Fairfax, VA, United States.ORCID 0009-0008-5031-2594
Marcy PalmerVibrent Health, Inc, Fairfax, VA, United States.ORCID 0009-0000-5249-8507
Praduman JainVibrent Health, Inc, Fairfax, VA, United States.ORCID 0000-0002-0062-7044

Funding

HSRD VA IIR 16-003
6 · The paper itself

Abstract

backgroundLongitudinal cohort studies have traditionally relied on clinic-based recruitment models, which limit cohort diversity and the generalizability of research outcomes. Digital research 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.

objectiveWe sought to design and build a secure, privacy-preserving, validated, participant-centric digital health research platform (DHRP) to recruit and enroll participants, collect multimodal 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 million participants that reflects the diversity of the United States, including minority, health-disparate, and other populations underrepresented in biomedical research (UBR).

methodsWe collaborated with community members, health care provider organizations (HPOs), and NIH leadership to design, build, and validate a secure, feature-rich digital platform to facilitate multisite, 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 DHRP via web and mobile apps, either independently or with research staff support. The participant-facing tool facilitated electronic informed consent (eConsent), multisource data collection (eg, surveys, genomic results, wearables, and electronic health records [EHRs]), 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.

resultsWe built a secure, participant-centric DHRP with engaging functionality used to recruit, engage, and collect data from 705,719 diverse participants throughout the United States. As of April 2024, 87% (n=613,976) of the participants enrolled via the platform were from UBR groups, including racial and ethnic minorities (n=282,429, 46%), rural dwelling individuals (n=49,118, 8%), those over the age of 65 years (n=190,333, 31%), and individuals with low socioeconomic status (n=122,795, 20%).

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

Indexed as

Biomedical ResearchData CollectionPatient SelectionCohort StudiesDigital HealthFollow-Up StudiesHumansLongitudinal StudiesMaleNational Institutes of Health (U.S.)Research DesignUnited Statesbiomedical researchcohort studiesdatabase management systemdecentralizationdigital health technologyhealth disparitieslongitudinal studiesminority populationsprecision medicinevulnerable populations

Identifiers

PMID39813673
PMCPMC11780292

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.