Department of Computer Science, University of California Davis, Davis, United States of America
Case Study
Case Study Exploring the Utility of a Novel Predictive Glucose Alerting Application for Young Adults Living with Type 1 Diabetes
Author(s): Hari Venugopalan, Samuel T. King, Salvador Lopez, Jun Min Kim, Grace Cheng, Tim Stewart, Sriram Magesh, Brendan Leung and Stephanie S. Crossen*
Aim: Continuous Glucose Monitoring (CGM) devices are now widely used among People with Type 1 Diabetes (PwT1D). However, the utility of these devices has not been specifically optimized for Adolescents and Young Adults (AYAs), whose engagement with diabetes technology often hinges on its ability to facilitate non-diabetes-related life goals. Our aim was to explore how a novel application providing predictive alerting for hypo-and hyperglycemia could improve the day-to-day experience of young adults living with T1D and using CGM. Method: We conducted a qualitative case study to better understand users’ experience with our novel predictive CGM alerting application "BeaGL" among a cohort of six young adults over five months. Feedback was solicited via weekly surveys and monthly interviews, which were analyzed thematically. Multiple changes were made to the application bas.. View more»