Presentation (CTI)

OBJECTIVES: The Evidation Everyone Registry aims to create a longitudinal, person-centered data resource that makes data contribution straightforward, reflects diverse lived experiences, and helps power the future of health innovation. The registry leverages Evidation’s highly engaged user base and was purposefully designed to support representative health research based on collecting a broad range of data, including wearable devices, patient-reported outcomes, and electronic health records (EHRs).
METHODS: Evidation members are invited to the registry through multiple channels, including in-app messages. A two-step consent process explains the purpose of the registry, data use and protection, and compensation. Individuals first choose whether to share their existing and future Evidation platform data. Then they have the option to link their EHR data. This enrollment approach aims to reduce burden, increase access, and ensure transparency around data use and protection. When possible, registry related insights will be shared with participants so they can see the impact of their contributions.
RESULTS: The Evidation Everyone Registry launched on December 22, 2025 to a selected sample of the Evidation population (n=5,800). As of January 8, 2026, over 3,800 individuals have consented to participate, with 75% also opting to include their EHR data. Current registry participants are primarily White (76%), female (73%), and between 30-50 years old (60%). The most common self-reported diagnosed health conditions are anxiety (41%), depression (37%), allergies (36%), migraines (27%), and hypertension (24%). 97% of participants have connected at least one wearable device to Evidation. Participants have been members of Evidation for 7 years on average (SD = 2.7, range = 1-14).
CONCLUSIONS: The Evidation Everyone Registry offers a flexible approach to building a rich longitudinal, person-centered health data resource. By prioritizing participant choice and engagement, the registry aims to support more equitable, representative, and efficient health studies that reflect real-world health experiences from a diverse population.