Klein Dave, Montgomery Aisha, Begale Mark, Sutherland Scott, Sawyer Sherilyn, McCauley Jacob L, Husbands Letheshia, Joshi Deepti, Ashbeck Alan, Palmer Marcy, Jain Praduman
Vibrent Health, Inc, Fairfax, VA, United States.
Boston VA Research Institute, VA Boston Health Care, Veterans Administration, Boston, MA, United States.
J Med Internet Res. 2025 Jan 15;27:e60189. doi: 10.2196/60189.
Longitudinal 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.
We 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).
We 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.
We 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%).
We 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.
纵向队列研究传统上依赖基于诊所的招募模式,这限制了队列的多样性以及研究结果的普遍性。数字研究平台可用于增加参与者的参与机会、提高研究参与度、简化数据收集并提高数据质量;然而,数字化研究的有效性和可持续性在很大程度上依赖于所使用数字平台的设计、实施和管理。
我们试图设计并构建一个安全、保护隐私、经过验证且以参与者为中心的数字健康研究平台(DHRP),以招募和登记参与者、收集多模态数据,并让来自不同背景的参与者参与美国国立卫生研究院(NIH)的“我们所有人”研究计划(AOU)。AOU是一项正在进行的全国性多年研究,旨在建立一个由100万参与者组成的研究队列,以反映美国的多样性,包括少数族裔、健康状况存在差异的群体以及生物医学研究中代表性不足的其他人群(UBR)。
我们与社区成员、医疗服务提供者组织(HPO)以及NIH领导层合作,设计、构建并验证了一个安全且功能丰富的数字平台,以促进AOU中的多地点、混合式和远程研究参与以及多模态数据收集。通过面对面、印刷和在线数字活动招募参与者。参与者可通过网络和移动应用程序独立或在研究人员的支持下安全访问DHRP。面向参与者的工具促进了电子知情同意(eConsent)、多源数据收集(如调查问卷、基因组结果、可穿戴设备和电子健康记录[EHR])以及持续的参与者参与。我们还为研究人员构建了工具,用于进行远程参与者支持服务、研究工作流程管理、参与者跟踪、数据分析、数据协调和数据管理。
我们构建了一个以参与者为中心的安全DHRP,其具有吸引人的功能,用于从美国各地705,719名不同的参与者中招募、吸引并收集数据。截至2024年4月,通过该平台登记的参与者中有87%(n = 613,976)来自UBR群体,包括种族和族裔少数群体(n = 282,429,46%)、农村居民(n = 49,118,8%)、65岁以上的人群(n = 190,333,31%)以及社会经济地位较低的个体(n = 122,795,20%)。
我们构建了一个以参与者为中心的数字平台,配备了相关工具,以促使不同种族、族裔和社会经济背景以及其他UBR群体的个体参与进来。这个DHRP在不同参与者中得到了成功应用。这些发现可作为有效利用数字平台构建和维持各种研究设计队列并提高健康研究中不同人群参与度的最佳实践。