The Intelligent Diabetes TelemonitoRing Using Decision Support to Treat Patients on Insulin Therapy
NCT ID: NCT06185296
Last Updated: 2025-01-30
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
51 participants
INTERVENTIONAL
2025-05-31
2026-06-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
NONE
Study Groups
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Intelligent telemonitoring
The subjects will be telemonitored using the intelligent telemonitoring system. All subjects will use a CGM, a Fitbit, and a smart pen during the trial period. Staff at the endocrinology clinic will monitor the data and contact the subjects continuously throughout the trial (depending on the individual needs of each subject) using the intelligent telemonitoring system with embedded decision support to facilitate treatment evaluation and adjustments. The subjects will have access to a smartphone app that is able to provide a risk for nocturnal hypoglycemia before bed.
Intelligent telemonitoring
Telemonitoring using CGM, insulin pen data, and Fitbit data supported by data-driven decision support.
Telemonitoring
The subjects will be telemonitored. All subjects will use a CGM, a Fitbit, and a smart pen during the entire trial period. Staff at the endocrinology clinic will monitor the data and contact the subjects continuously throughout the trial (depending on the individual needs of each subject)
Telemonitoring
Telemonitoring using CGM, insulin pen data, and Fitbit data
Usual care
The subjects will wear a blinded CGM the first 20 days after inclusion, 20 days before the second visit to the trial site, and the final 20 days of the trial. The subjects will use a blinded smart pen throughout the trial period. Hence, the subjects cannot see their measured data during the trial and will not be monitored.
No interventions assigned to this group
Interventions
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Intelligent telemonitoring
Telemonitoring using CGM, insulin pen data, and Fitbit data supported by data-driven decision support.
Telemonitoring
Telemonitoring using CGM, insulin pen data, and Fitbit data
Eligibility Criteria
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Inclusion Criteria
* Diagnosis of T2D for at least 12 months prior to the day of screening.
* Patients who are being treated with insulin or about to start insulin treatment (insulin naïve) willing to travel to trial site in North Denmark to attend in-person visits.
* Have internet at home, have MitID, and willingness to use a smartphone and the other devices used in the trial
* Signed informed consent.
* Ability to understand and read Danish.
Exclusion Criteria
* Major surgery is planned during the trial period.
* Cancer diagnosis within five years prior to inclusion.
* Participation in other interventional trials.
* Limited literacy affecting the use of trial devices.
* Patient who has worn a CGM monitor less than 6 months prior to the trial.
* Terms that, in the opinion of the sub-investigator or investigator, render the participant unfit to conduct the trial, including lack of understanding of the trial or lack of physical or cognitive ability to participate.
* Patients treated with mixed insulin.
18 Years
ALL
No
Sponsors
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Novo Nordisk A/S
INDUSTRY
DexCom, Inc.
INDUSTRY
Aalborg University Hospital
OTHER
Responsible Party
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Peter Vestergaard
MD, professor
Principal Investigators
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Peter Vestergaard, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Steno Diabetes Center North Denmark
Locations
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Department of Endocrinology
Aalborg, North Jutland, Denmark
Countries
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Central Contacts
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Facility Contacts
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References
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Thomsen CHN, Norlev JTD, Hangaard S, Jensen MH, Hejlesen O, Cohen SR, Kofoed-Enevoldsen A, Kristensen SNS, Aradottir TB, Kaas A, Vestergaard P, Kronborg T. The intelligent diabetes telemonitoring using decision support to treat patients on insulin therapy (DiaTRUST) trial: study protocol for a randomized controlled trial. Trials. 2024 Nov 8;25(1):744. doi: 10.1186/s13063-024-08588-7.
Other Identifiers
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DiaTRUST
Identifier Type: -
Identifier Source: org_study_id
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