Skip to content

Long-term Observation Of Patient Engagement in Automated Insulin Delivery

Long-term Observation Of Patient Engagement in Automated Insulin Delivery

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06858475
Acronym
LOOPED
Enrollment
453
Registered
2025-03-05
Start date
2025-03-20
Completion date
2025-04-30
Last updated
2025-06-20

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

Conditions

Type 1 Diabetes Mellitus

Keywords

Type 1 diabetes mellitus, Automated insulin delivery, Continuous glucose monitoring, Carbohydrate counting, Meal announcement

Brief summary

The purpose of this study is to assess the long-term evolution of patient interaction with the CONTROL-IQ (Tandem™) hybrid closed-loop (HCL) system in individuals with type 1 diabetes over 24 months. Specifically, the study examines user-initiated boluses and carbohydrate announcements to determine whether initially low-engagement users increase their involvement over time or, conversely, whether highly engaged users gradually rely more on automation.

Detailed description

Automated insulin delivery (AID) systems have revolutionized type 1 diabetes (T1D) management, offering superior glycemic control and quality of life compared to sensor-augmented insulin pumps or multiple daily injections (MDI). However, current AID systems operate as hybrid closed-loop (HCL) systems, requiring user intervention for meal boluses, including carbohydrate counting and timely insulin administration. Control-IQ (Tandem™) was the second AID system reimbursed by the French National Health Insurance and is now widely used in France. It combines the Tandem™ t:slim insulin pump with Dexcom™ G6 continuous glucose monitoring (CGM), adjusting basal insulin every five minutes based on glucose predictions and delivering automatic correction boluses once per hour. Despite these automation features, users must still manually initiate meal boluses, and additional correction boluses remain optional. While engagement in carbohydrate counting and timely meal announcements improves metabolic outcomes, real-world data suggest that AID benefits individuals across varying engagement levels. Long-term data on patient behavior and engagement, particularly regarding carbohydrate announcements and the ratio of automatic to user-initiated boluses, remain limited. Understanding these patterns could reveal whether initially low-engagement users increase involvement over time or whether highly engaged users eventually rely more on automation. This single-center, 24-month observational study will follow all T1D patients treated with Control-IQ at the Centre Hospitalier Sud-Francilien between October 2021 and October 2024.

Interventions

DEVICECONTROL-IQ (Tandem™)

interaction with the CONTROL-IQ (Tandem™) hybrid closed-loop (HCL) system in individuals with type 1 diabetes

Sponsors

Centre Hospitalier Sud Francilien
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Patients using the CONTROL-IQ hybrid closed-loop system with data uploaded to the myDiabby platform at least once between October 2021 and October 2024, affiliated with the diabetology department of CHSF.

Exclusion criteria

* Patients with a type of diabetes other than type 1 diabetes. * Patients who have objected to the use of their data.

Design outcomes

Primary

MeasureTime frameDescription
number of automatic bolusesrepeated measurement over 24 months (8 quarters)To assess the 24-month evolution of the automatic-to-user-initiated bolus ratio

Secondary

MeasureTime frameDescription
insulin dose (UI)repeated measurement over 24 months (8 quarters)Measurement of the quarterly evolution, over 24 months, of the average of total daily insulin dose (UI)
carbohydratesrepeated measurement over 24 months (8 quarters)Measurement of the quarterly evolution, over 24 months, of the average amount of carbohydrates reported daily in closed-loop mode (CONTROL-IQ).
glucoseRepeated measurement over 24 months (8 quarters)Measurement of the quarterly evolution, over 24 months, of continuous glucose monitoring parameters, including average glucose in closed-loop mode (CONTROL-IQ).
time spent in closed-loop moderepeated measurement over 24 months (8 quarters)Measurement of the quarterly evolution, over 24 months, of the percentage of time spent in closed-loop mode (CONTROL-IQ ON)
glucose coefficient of variationRepeated measurement over 24 months (8 quarters)Measurement of the quarterly evolution, over 24 months, of continuous glucose monitoring parameters, including glucose coefficient of variation in closed-loop mode (CONTROL-IQ).
percentage of time in target range (70-180 mg/dL)Repeated measurement over 24 months (8 quarters)Measurement of the quarterly evolution, over 24 months, of continuous glucose monitoring parameters, including percentage of time in target range (70-180 mg/dL) in closed-loop mode (CONTROL-IQ).
glucose management indicatorRepeated measurement over 24 months (8 quarters)Measurement of the quarterly evolution, over 24 months, of continuous glucose monitoring parameters, including average glucose management indicator in closed-loop mode (CONTROL-IQ).

Countries

France

Outcome results

None listed

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