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Control:Diabetes Pilot Study I

Control:Diabetes - a Mobile App to Improve Glycemic Control in Patients With Diabetes

Status
Terminated
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04158921
Enrollment
55
Registered
2019-11-12
Start date
2019-11-07
Completion date
2022-07-20
Last updated
2023-06-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes Mellitus, Type 1, Insulin Treated Type 2 Diabetes Mellitus

Keywords

Diabetes Mellitus, Insulin Therapy, Glycemic Control, Hyperglycemia, Hypoglycemia, Health Education, Self-Management, Lifestyle

Brief summary

This is a single arm open label pilot clinical trial that will assess patient-reported blood glucose levels before and after using the Control:Diabetes mobile app, while collecting user feedback and recommendations for further improvements to the app functionality and user interface. This study will enroll approximately 70 individuals with insulin-treated diabetes mellitus. The study will include two online surveys (baseline and exit), one study initiation phone call, and will also collect data entered by the users into the mobile app.

Detailed description

The objectives of this study are to: * Test the hypothesis that patients with diabetes mellitus treated with insulin and elevated blood glucose will achieve better glycemic control after using the Control:Diabetes mobile app. * Test the hypothesis that patients with diabetes mellitus treated with insulin and frequent hypoglycemia will achieve lower frequency of hypoglycemia after using the Control:Diabetes mobile app.

Interventions

OTHERControl:Diabetes mobile app

The Control:Diabetes app will encourage patients to: a) predict their blood glucose level at a particular time point in the future (e.g. the next morning); then b) enter their actual blood glucose levels when that time (the next morning) comes; and c) enter reasons for the discrepancy between prediction and reality, if the prediction was significantly (e.g. \> 20%) different from the actual measurement. We hypothesize that by repeatedly encouraging disassembly of blood glucose changes into individual reasons (cognitive task analysis) while providing an incentive in the form of being able to more accurately predict blood glucose levels (operant conditioning), the app will prompt the patient to learn how various internal and environmental factors affect their blood glucose. They will then be able to adjust their behavior and medications to improve their blood glucose control.

Sponsors

Brigham and Women's Hospital
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Age ≥ 18 years * Diagnosis of Type 1 Diabetes or Type 2 Diabetes * Treatment with multiple daily insulin injections (MDII) or continuous subcutaneous insulin infusion (CSII) * Baseline HbA1c between 7% and 10.5% (as reported by the participant) and/or self- reported frequency of symptomatic hypoglycemia ≥ 3 times / week * Ownership of a smartphone running either Android or iOS operating system with an active data plan

Exclusion criteria

* Using a closed loop insulin delivery system (Medtronic 670G or OpenAPS)

Design outcomes

Primary

MeasureTime frameDescription
The mean change in blood glucose.Measured between the first two weeks and the last two weeks of the study.As recorded by the patient in the app.

Secondary

MeasureTime frameDescription
The change in the number of hypoglycemic episodes.Measured every week between the two weeks prior to the study entry and the last two weeks of study follow-up.Number of low blood sugar episodes as reported in the study surveys.

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026