Organisational models supported by technology for the management of diabetic disease and its complications in a diabetic clinic setting: study protocol for a randomised controlled trial targeting type 2 diabetes individuals with non-ideal glycaemic values (Telemechron study)

Author:

Giovanazzi Alexia,Gios Lorenzo,Mastellaro Marina,Gentilini Maria Adalgisa,Valent Francesca,Condini Sara,Bincoletto Giorgia,Bacchiega Alessandro,Zorzi Andrea,Malfatti Giulia,Perini Francesca,Eccher Claudio,Marchesoni Michele,Dall’Alda Marlene,Orrasch Massimo,Conforti Diego,Inchiostro Sandro

Abstract

Abstract Introduction Type 2 diabetes mellitus (T2DM) is a non-communicable disease representing one of the most serious public health challenges of the twenty-first century. Its incidence continues to rise in both developed and developing countries, causing the death of 1.5 million people every year. The use of technology (e.g. smartphone application—App) in the health field has progressively increased as it has been proved to be effective in helping individuals manage their long-term diseases. Therefore, it has the potential to reduce the use of health service and its related costs. The objective of this study is to evaluate the impact of using a digital platform called “TreC Diabete” embedded into a novel organisational asset targeting poorly controlled T2DM individuals in the Autonomous Province of Trento (PAT), Italy. Methods This trial was designed as a multi-centre, open-label, randomised, superiority study with two parallel groups and a 1:1 allocation ratio. Individuals regularly attending outpatient diabetes clinics, providing informed consent, are randomised to be prescribed TreC Diabete platform as part of their personalised care plan. Healthcare staff members will remotely assess the data shared by the participants through the App by using a dedicated online medical dashboard. The primary end-point is the evaluation of the Hb1Ac level at 12-month post-randomisation. Data will be analysed on an intention-to-treat (ITT) basis. Discussion This trial is the first conducted in the PAT area for the use of an App specifically designed for individuals with poorly controlled T2DM. If the effects of introducing this specific App within a new organisational asset are positive, the digital platform will represent a possible way for people diagnosed with T2DM to better manage their health in the future. Results will be disseminated through conferences and peer-reviewed journals once the study is completed. Trial registration ClinicalTrials.gov NCT05629221. Registered on November 29, 2022, prior start of inclusion.

Funder

Department of Health of the Italian National Health System

Provincia Autonoma di Trento

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Medicine (miscellaneous)

Reference40 articles.

1. Caraballo C, Desai NR, Mulder H, Alhanti B, Wilson FP, Fiuzat M, et al. Clinical implications of the New York Heart Association classification. Journal of the American Heart Association. 2019;8(23).  https://doi.org/10.1161/jaha.119.014240.

2. European Parliament. Regulation (EU) 2017/745 of the European Parliament and of the Council of 5 April 2017 on medical devices, amending Directive 2001/83/EC, Regulation (EC) No 178/2002 and Regulation (EC) No 1223/2009 and repealing Council Directives 90/385/EEC and 93/42/EEC. [Internet]. 5AD [cited 26AD Jun]. Available from: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32017R0745.

3. Global report on diabetes. Geneva. Switzerland: World Health Organization; 2016.

4. Diabete - EpiCentro - Istituto Superiore di Sanità [Internet]. www.epicentro.iss.it. Available from: https://www.epicentro.iss.it/diabete/ Accessed 26/06/2023.

5. Yates T, Khunti K. Epidemiology: The diabetes mellitus tsunami: worse than the “Spanish flu” pandemic? Nat Rev Endocrinol. 2016;12(7):377–8. https://doi.org/10.1038/nrendo.2016.74.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3