At a glance
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Adapting Diabetes Treatment Expert Systems to Patient's Expectations and Psychobehavioral Characteristics in Type 1 Diabetes
In Brief
A clinical study evaluating Personalized Feedback, Decision Support System, and 1 other intervention for Diabetes Mellitus, Type 1. Completed, enrolled 88 participants across 1 site.
Detailed Summary
This study is evaluate the superior efficacy of a Continuous Glucose Monitor (CGM)-based advisory system in Type 1 Diabetes Mellitus (T1DM), as compared to Sensor Augmented Mode (SAM) therapy, and with characterizing the impact of psycho-behavioral factors on system performance, which will enable system individualization and lead to automated adaptation of advice delivery to optimize glycemic control and reduce the system's psychological impact.
Study Details
Timeline
Interventions
Provides tailored information to the user about what glycemic risk they may be facing as well as how glycemic control and system use looked in the past week. Treatment decision and therapy changes are entirely left to the decision of the user.
CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges
A mode in Diabetes Assistant (DiAs) that combines Diabetes Assistant, Insulin pump or Multiple Daily Injections, CGM, ketone meters, and glycemic treatment guidelines together to manage diabetes.