Lower Blood Glucose when Using Remote Diabetes Care System with Patient App

Using the Triabetes® smartphone app and TriabetesClinic online decision support service in Type 2 diabetes treatment helps reduce long-term blood glucose levels. This is the main finding reported by Professor Kerstin Brismar from Karolinska Institutet in Stockholm.

Results from the first six months of a two-year randomized, multicenter clinical study show that the blood glucose marker HbA1c is significantly lower in patients being managed by the TriabetesClinic system compared with the control group who is not.

The research, presented during a seminar for delegates at the meeting of the Swedish Society for Diabetology, aims to detect a minimum 5.5 mmol/mol decrease in HbA1c in the patients who self-report to the healthcare provider's remote care system using a smartphone app across four different treatment clinics over 24 months. Intention-to-treat analysis was applied to the interim results which show a significant median difference of 5.3 mmol/mol between the smartphone app and control groups during just six months.

"We found that it is clinically worthwhile to use the Triabetes app combined with the TriabetesClinic service to support the patients to improve metabolic control and lower their HbA1c values," said Kerstin Brismar, Professor of diabetes research at Karolinska Institutet. "Our analysis after six months showed that apps are a viable way to help control type 2 diabetes when the patient shares live data with their doctor or nurse, who in turn use a web-based triage service to monitor, coach and suggest treatment strategies."

"I welcome today's interim results since there are few rigorous studies that report on the clinical use of telemedicine systems in diabetes management," said Diabetes Tools' Chief Executive Officer Anders Weilandt.

There are 226 patients with Type 2 diabetes taking part in the study. They are spread across nine different primary care clinics in Poland run by the managed care group Medicover. The study uses medtech firm Diabetes Tools' Triabetes smartphone app for patients and TriabetesClinic, a web-based diabetes decision support service, for healthcare providers. This research is backed by academics from the Medical University of Warsaw and Karolinska Institutet in Stockholm, Sweden.

About Triabetes and Diabetes Tools
Triabetes is a smartphone app and online decision support service for people living with and caring for all forms of diabetes. Triabetes is from Diabetes Tools, a Swedish medical technology company that develops scientifically based Software-as-a-Service solutions. Triabetes is scalable. It can be used by individuals, doctors and treatment clinics, and can be integrated with large-scale Electronic Medical Record (EMR) systems.

Founded in 2005, Diabetes Tools is a privately held company located in Stockholm, Sweden. Diabetes Tools holds an ISO 13485 certificate, a compliance standard for creating medical devices and related services. Triabetes is a CE-marked medical software product registered for sale in the European Union. More information at http://www.diabetestools.se.

Most Popular Now

AI for Real-Rime, Patient-Focused Insigh…

A picture may be worth a thousand words, but still... they both have a lot of work to do to catch up to BiomedGPT. Covered recently in the prestigious journal Nature...

New Research Shows Promise and Limitatio…

Published in JAMA Network Open, a collaborative team of researchers from the University of Minnesota Medical School, Stanford University, Beth Israel Deaconess Medical Center and the University of Virginia studied...

G-Cloud 14 Makes it Easier for NHS to Bu…

NHS organisations will be able to save valuable time and resource in the procurement of technologies that can make a significant difference to patient experience, in the latest iteration of...

Hampshire Emergency Departments Digitise…

Emergency departments in three hospitals across Hampshire Hospitals NHS Foundation Trust have deployed Alcidion's Miya Emergency, digitising paper processes, saving clinical teams time, automating tasks, and providing trust-wide visibility of...

Start-Ups will Once Again Have a Starrin…

11 - 14 November 2024, Düsseldorf, Germany. The finalists in the 16th Healthcare Innovation World Cup and the 13th MEDICA START-UP COMPETITION have advanced from around 550 candidates based in 62...

MEDICA HEALTH IT FORUM: Success in Maste…

11 - 14 November 2024, Düsseldorf, Germany. How can innovations help to master the great challenges and demands with which healthcare is confronted across international borders? This central question will be...

A "Chemical ChatGPT" for New M…

Researchers from the University of Bonn have trained an AI process to predict potential active ingredients with special properties. Therefore, they derived a chemical language model - a kind of...

Siemens Healthineers co-leads EU Project…

Siemens Healthineers is joining forces with more than 20 industry and public partners, including seven leading stroke hospitals, to improve stroke management for patients all over Europe. With a total...

MEDICA and COMPAMED 2024: Shining a Ligh…

11 - 14 November 2024, Düsseldorf, Germany. Christian Grosser, Director Health & Medical Technologies, is looking forward to events getting under way: "From next Monday to Thursday, we will once again...

In 10 Seconds, an AI Model Detects Cance…

Researchers have developed an AI powered model that - in 10 seconds - can determine during surgery if any part of a cancerous brain tumor that could be removed remains...

Does AI Improve Doctors' Diagnoses?

With hospitals already deploying artificial intelligence to improve patient care, a new study has found that using Chat GPT Plus does not significantly improve the accuracy of doctors' diagnoses when...

AI Analysis of PET/CT Images can Predict…

Dr. Watanabe and his teams from Niigata University have revealed that PET/CT image analysis using artificial intelligence (AI) can predict the occurrence of interstitial lung disease, known as a serious...