A Novel mHealth Application Guided by an Optimization Algorithm for T1D Sensor-Augmented Insulin Injection Users
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Diabetes Mellitus
- Diabetes Mellitus - Type 1
- Type
- Interventional
- Phase
- Not Applicable
- Design
- Allocation: RandomizedIntervention Model: Parallel AssignmentIntervention Model Description: This is an open-label, randomized, controlled, two-way parallel study to compare glucose control between sensor-augmented MDI therapy and our basal-bolus optimizing algorithm over 3 months. Adults with type 1 diabetes who are enrolled in the study will randomly undergo one of the two interventions for the entire study duration.Masking: None (Open Label)Primary Purpose: Treatment
Participation Requirements
- Age
- Between 18 years and 125 years
- Gender
- Both males and females
Description
The changes in eligibility criteria indicated below are from a previously approved amendment but were inadvertently omitted in the previous PRS update made in November of 2020. Therefore, this note serves to clarify the order of updates. Inclusion: HbA1c ? 7.5% in the last 2 months (modification) Ex...
The changes in eligibility criteria indicated below are from a previously approved amendment but were inadvertently omitted in the previous PRS update made in November of 2020. Therefore, this note serves to clarify the order of updates. Inclusion: HbA1c ? 7.5% in the last 2 months (modification) Exclusion: More than 1 slow-acting injection and unwilling to switch to once a day for the study (addition) Severe hypoglycemic episode within one month of admission (addition) In the subsequent amendment, we modified the timeframe for the HbA1c inclusion criterion to obtain a more accurate representation of their current glucose control at the time of enrollment.
Tracking Information
- NCT #
- NCT04123054
- Collaborators
- Not Provided
- Investigators
- Principal Investigator: Michael Tsoukas, MD RI-MUHC