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
- 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