A Novel mHealth Application Guided by an Optimization Algorithm for T1D Sensor-Augmented Insulin Injection Users

NCT04123054 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 84

Last updated 2024-05-16

No results posted yet for this study

Summary

The Artificial Pancreas lab at McGill University has developed an optimization algorithm for adults with Type 1 Diabetes (T1D) on Multiple Daily Injection (MDI) therapy with the adjunctive use of glucose sensor technology, collectively known as sensor-augmented MDI therapy. The algorithm is designed to estimate optimal basal-bolus parameters based on the patient's glucose, insulin and meal data over several days. The investigators hope that this algorithm will be better able to improve long-term glycemic targets by reducing HbA1c levels compared to sensor-augmented MDI therapy alone.

Conditions

Interventions

DEVICE

Mobile App

Participants will use the mobile app to log their daily basal dose and calculate their meal doses by entering their sensor glucose value (and amount of meal carbohydrates if applicable) using the built-in bolus calculator.

DEVICE

Mobile App + Basal-Bolus Optimization Algorithm

Participants will use the mobile app to log their daily basal dose and calculate their meal doses by entering their sensor glucose value (and amount of meal carbohydrates if applicable) using the built-in bolus calculator. In addition, participants will receive weekly app notifications with personalized recommendations for insulin parameter adjustments made by the optimization algorithm.

Sponsors & Collaborators

Principal Investigators

  • Michael Tsoukas, MD · RI-MUHC

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-03-05
Primary Completion
2023-12-21
Completion
2024-01-12

Countries

  • Canada

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04123054 on ClinicalTrials.gov