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

Accelerating NHS Digital Maturity: Paper…

Digitised clinical noting at South Tees Hospitals NHS Foundation Trust is creating efficiencies for busy doctors and nurses. The trust’s CCIO Dr Andrew Adair, deputy CCIO Dr John Greenaway, and...

AI Tool Helps Predict Who will Benefit f…

A study led by UCLA investigators shows that artificial intelligence (AI) could play a key role in improving treatment outcomes for men with prostate cancer by helping physicians determine who...

New Study Shows Promise for Gamified mHe…

A new study published in Multiple Sclerosis and Related Disorders highlights the potential of More Stamina, a gamified mobile health (mHealth) app designed to help people with Multiple Sclerosis (MS)...

AI in Healthcare: How do We Get from Hyp…

The Highland Marketing advisory board met to consider the government's enthusiasm for AI. To date, healthcare has mostly experimented with decision support tools, and their impact on the NHS and...

Research Shows AI Technology Improves Pa…

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders...

New AI Tool Accelerates Disease Treatmen…

University of Virginia School of Medicine scientists have created a computational tool to accelerate the development of new disease treatments. The tool goes beyond current artificial intelligence (AI) approaches by...

DMEA sparks: The Future of Digital Healt…

8 - 10 April 2025, Berlin, Germany. Digitalization is considered one of the key strategies for addressing the shortage of skilled workers - but the digital health sector also needs qualified...

First Therapy Chatbot Trial Shows AI can…

Dartmouth researchers conducted the first clinical trial of a therapy chatbot powered by generative AI and found that the software resulted in significant improvements in participants' symptoms, according to results...

Who's to Blame When AI Makes a Medi…

Assistive artificial intelligence technologies hold significant promise for transforming health care by aiding physicians in diagnosing, managing, and treating patients. However, the current trend of assistive AI implementation could actually...

DeepSeek: The "Watson" to Doct…

DeepSeek is an artificial intelligence (AI) platform built on deep learning and natural language processing (NLP) technologies. Its core products include the DeepSeek-R1 and DeepSeek-V3 models. Leveraging an efficient Mixture...

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...