Evidence map›Paper›PMID 40557310›Full record

ArticleFrontiers in clinical diabetes and healthcare2025

Impact of digital health on Type 2 diabetes management: a randomised controlled trial of the 'TreC Diabete' platform (TELEMECHRON Study).

Alexia Giovanazzi, Lorenzo Gios, Maria Adalgisa Gentilini, Marina Mastellaro, Patrizia Bartolotta, Lucrezia Nicolussi Giacomaz, Claudio Eccher, Sandro Inchiostro

Abstract read
In one paragraph

Article in Frontiers in clinical diabetes and healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Alexia GiovanazziServizio Governance Clinica, Azienda Provinciale per i Servizi Sanitari della Provincia Autonoma di Trento, Trento, Italy.
Lorenzo GiosTrentinoSalute4.0, Competence Center for Digital Health, Trento, Provincia Autonoma di Trento, Italy.
Maria Adalgisa GentiliniUnità Operativa epidemiologica clinica e valutativa, Azienda Provinciale per i Servizi Sanitari della Provincia Autonoma di Trento, Trento, Provincia Autonoma di Trento, Italy.
Marina MastellaroServizio Governance Clinica, Azienda Provinciale per i Servizi Sanitari della Provincia Autonoma di Trento, Trento, Italy.
Patrizia BartolottaUnità Operativa epidemiologica clinica e valutativa, Azienda Provinciale per i Servizi Sanitari della Provincia Autonoma di Trento, Trento, Provincia Autonoma di Trento, Italy.
Lucrezia Nicolussi GiacomazDigital Health Innovation Lab Unit, Fondazione Bruno Kessler, Trento, Provincia Autonoma di Trento, Italy.
Claudio EccherDigital Health Innovation Lab Unit, Fondazione Bruno Kessler, Trento, Provincia Autonoma di Trento, Italy.
Sandro InchiostroDipartimento medico, Azienda Provinciale per i Servizi Sanitari della Provincia Autonoma di Trento, Trento, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of technologies in the health field has progressively increased. Within the context of a broader project funded by the Italian Ministry of Health (TELEMECHRON study), a randomised controlled trial (RCT) has been conducted in the Autonomous Province of Trento on type 2 diabetes individuals with an untargeted glycated haemoglobin (HbA1c) level. Methods: The overall aim was to evaluate the impact of the "TreC Diabete" digital platform, including a smartphone application (app) and a dashboard. This open-label, parallel-group, 1:1 allocation ratio RCT in which the intervention group used the app for data entry, symptoms questionnaire, communication with healthcare staff and medication recording, while the control group received standard care. The primary endpoint was change in HbA1c levels at 12 months between groups. Results: Between December 2022 and August 2023, 103 participants were enrolled (51 intervention; 52 control), with a median age of 67 years old, time from diabetes diagnosis to enrolment 13 years, and 72% male. At 12 months, the median change in HbA1c levels did not differ significantly between groups. Regarding app usage, data entries decreased significantly from the first quarter to the second quarter but subsequently stabilised (p = 0.001). System usability (from 42 responders in the intervention group) had a median score of 95 (range: 0-100), indicating a high level of satisfaction with the platform. Discussion: The study faced several challenges, including platform technical issues, service interruption, data entry anomalies and difficulties in participant recruitment. Study generalisability may be limited by the sample's demographics, as the trial predominantly included younger male individuals with a specific HbA1c level. Conclusion: The study highlighted key factors for future implementations, including understanding technology benefits, addressing adoption barriers, and providing education and support to both patients and healthcare providers.

Indexed as

digital healthmetabolic controlmHealthrandomised controlled trialtelemedicinetype 2 diabetes

Identifiers

PMID40557310
PMCPMC12186056

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.