The intelligent Diabetes TelemonitoRing Using decision Support to treat patients on insulin Therapy (DiaTRUST) trial: study protocol for a randomized controlled trial

Camilla H. N. Thomsen, Jannie D. Nørlev, Stine Hangaard, Morten H. Jensen, Ole Hejlesen, Sika N. S. Kristensen, Tinna B. Aradóttir, Anne Kaas, Peter Vestergaard, Thomas Kronborg

Publikation: Working paper/PreprintPreprint

Abstract

Background
Diabetes affects 10.5% of adults globally, with type 2 diabetes accounting for 90–95% of cases.
Achieving optimal glycemic control is crucial yet challenging, particularly with insulin therapy, where 30–
50% of patients fail to meet treatment targets. Telemedicine can improve diabetes management but
generates vast amounts of data, burdening healthcare providers. Integrating clinical decision support
tools into telemonitoring systems may enhance care efficiency and glycemic control.
Methods
The trial is a six-month, three-arm, open-label randomized controlled study conducted at Steno Diabetes
Center North Denmark, aiming to enroll 51 participants with type 2 diabetes on insulin therapy.
Participants will be divided in a 3:1:1 ratio into telemonitoring with decision support, telemonitoring
without decision support, and usual care groups. The study employs connected insulin pens, continuous
glucose monitors (CGMs), and activity trackers to enable telemonitoring. Outcomes measured include
CGM time in range, HbA1c, hypoglycemia and hyperglycemia incidents, total daily insulin dose, body
weight, treatment satisfaction, and adherence.
Discussion
Telemonitoring with decision support has the potential to revolutionize diabetes management by offering
personalized treatment suggestions, thereby reducing the burden on healthcare providers and improving
patient outcomes. This study will provide valuable insights into the effectiveness of such an approach in
achieving glycemic control in people with type 2 diabetes on insulin therapy. By evaluating both clinical
outcomes and patient and healthcare providers’ satisfaction, the study aims to contribute to the
development of efficient, scalable telehealth solutions for diabetes care.
OriginalsprogEngelsk
UdgiverResearch Square Platform LLC
Antal sider21
DOI
StatusUdgivet - 8 sep. 2024

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