Why #WeAreNotWaiting-Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery...

Area of Science:

• Diabetes Technology
• Endocrinology
• Health Informatics

Background:

• Commercial automated insulin delivery (AID) systems are not universally accessible or affordable.
• User-driven, open-source AID systems are gaining popularity among individuals with diabetes.
• There is a growing need to understand the motivations behind adopting these personalized systems.

Purpose of the Study:

• To investigate the motivations driving individuals with diabetes and their caregivers to build and use open-source AID systems.
• To explore the self-reported clinical outcomes associated with the use of personalized open-source AID.
• To provide insights into the evolving landscape of diabetes technology.

Main Methods:

• A cross-sectional, web-based survey was administered to participants globally.
• The survey assessed personal motivations for using open-source AID.
• Self-reported clinical outcomes, including glycated hemoglobin (HbA1c) and time in range, were evaluated.

Main Results:

• Key motivations included improving glycemic outcomes, reducing complication risks, and decreasing interaction with diabetes technology.
• Participants reported significant improvements in HbA1c (7.14% to 6.24%) and time in range (62.96% to 80.34%).
• Caregivers frequently cited improved sleep quality for themselves and their children as a primary motivator.

Conclusions:

• Open-source AID systems address unmet needs for people with diabetes.
• These systems demonstrate potential for improved clinical outcomes and offer valuable insights for healthcare professionals and policymakers.
• The study highlights the growing importance and effectiveness of personalized, open-source diabetes management solutions.