Psychosocial Effects of the Loop Open-Source Automated Insulin Delivery System

Abstract

Aims: This study examined the psychosocial impact of Loop, an open-source automated insulin dosing system that has emerged from the diabetes technology “Do-It-Yourself” (DIY) movement. Methods: Subsamples of 239 adults, 115 children, and 243 parents completed data collection at the time of Loop initiation and 3 and 6 months later. Surveys collected demographic and clinical information, percent time-in-range, HbA1c, and validated psychosocial measures. Analyses included paired t tests and McNemar’s tests to compare psychosocial functioning at 3 and 6 months and regression models to assess baseline predictors of psychosocial outcomes at 6 months. Results: Adults reported significant improvements in diabetes distress (t = −7.20 P