Adapting Diabetes Treatment Expert Systems to Patient in Type 1 Diabetes

NACompletedINTERVENTIONAL
Enrollment

88

Participants

Timeline

Start Date

September 4, 2020

Primary Completion Date

September 19, 2024

Study Completion Date

September 19, 2024

Conditions
Diabetes Mellitus, Type 1
Interventions
DEVICE

Personalized Feedback

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.

DEVICE

Decision Support System

CGM-based system that includes Personalized Feedback (PF) and further assists with treatment recommendations for common metabolic challenges

DEVICE

Sensor Augmented Mode

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.

Trial Locations (1)

22903

University of Virginia Center for Diabetes Technology, Charlottesville

All Listed Sponsors
collaborator

National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

NIH

lead

University of Virginia

OTHER

NCT04443153 - Adapting Diabetes Treatment Expert Systems to Patient in Type 1 Diabetes | Biotech Hunter | Biotech Hunter