Using a bring-your-own-device (BYOD) model for contributing mobile health (mHealth) data from wearable devices/apps is an emerging area of research. Fitbit and Garmin devices are the predominant devices represented in our Internet-based cohort, and there were differences in disease activity scores and patient-reported outcomes between those who contributed mhealth data versus those who did not. We find that there is heterogeneity in usage patterns and systematic differences between brands.

Learning Objective: To understand characteristics of a BYOD mHealth cohort and the variation in patterns of usage, missingness, and between brands.


Arlene Chung (Presenter)
University of North Carolina at Chapel Hill

Kimberly Glass, Brigham and Women's Hospital
Jacob Leisey-Bartsch, University of Pittsburgh
Lucas Mentch, University of Pittsburgh
Nils Gehlenborg, Harvard Medical School
David Gotz, University of North Carolina at Chapel Hill

Presentation Materials: