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Description

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.

Authors:

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:

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