A Learning Algorithm for MDI Individuals With Type 1 Diabetes to Adjust Recommendations for High Fat Meals and Exercise Management

NACompletedINTERVENTIONAL
Enrollment

15

Participants

Timeline

Start Date

July 7, 2021

Primary Completion Date

February 21, 2023

Study Completion Date

February 21, 2023

Conditions
Type 1 Diabetes
Interventions
DEVICE

Sensor augmented MDI therapy plus mobile application

"Participants will use the mobile application to calculate their basal dose and to calculate their meal bolus dose by entering their glucose value, carbs (if applicable), fat composition (high fat or not), and type and timing of postprandial exercises. Participants will receive their dosing parameters weekly upon adjustments made by the reinforcement learning algorithm. Participants will be contacted by telephone on Weeks 1, 3, 5, and 7 in case of any technical difficulties or questions.~All participants will be asked to complete the:~(i) Diabetes treatment satisfaction questionnaire (DTSQ) and hypoglycemia fear survey-II (HFS-II) at baseline, halfway through the intervention, and post-intervention.~(ii) mHealth usability questionnaire (MAUQ) at post-intervention."

Trial Locations (1)

H4A 3T2

Clinique Médicale Hygea, Montreal

All Listed Sponsors
lead

McGill University

OTHER