APS

31st APS Annual Convention · 2019

A Novel Approach to Assess Patient Burden Using Data from a Digital Therapeutic for Type 2 Diabetes Predicts Glucose Outcomes

Washington, DC · May 2019

Poster · Cross-Cutting Theme Poster - Me, My Phone and I

  • Michelle Dugas
    University of Maryland, College Park
  • Weiguang Wang
    University of Maryland, College Park
  • Kenyon Crowley
    University of Maryland, College Park
  • Anand Iyer
    Welldoc Inc.
  • Malinda Peeples
    Welldoc, Inc.
  • Mansur Shomali
    Welldoc Inc.
  • Guodong (Gordon) Gao
    University of Maryland, College Park

Abstract

Digital therapeutic data hold great promise in assessing patient burden but are under-explored. Based on data from 811 BlueStar users with Type 2 diabetes, we distilled measures of patient burden from patient annotations in the mobile app. We found that patient burden was associated with worse blood glucose control.

Health/Exercise/Sport

← Poster Session II