De Groot J, Wu D, Flynn D, Robertson D, Grant G, Sun J. Efficacy of telemedicine on glycaemic control in patients with type 2 diabetes: A meta-analysis. World J Diabetes 2021; 12(2): 170-197 [PMID: 33594336 DOI: 10.4239/wjd.v12.i2.170]
Corresponding Author of This Article
Jing Sun, PhD, Associate Professor, School of Medicine and Menzies Health Institute Queensland, Griffith University, Parkland Drive, Gold Coast, Queensland, QLD 4222, Brisbane 4222, Queensland, Australia. j.sun@griffith.edu.au
Research Domain of This Article
Health Care Sciences & Services
Article-Type of This Article
Meta-Analysis
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Diabetes. Feb 15, 2021; 12(2): 170-197 Published online Feb 15, 2021. doi: 10.4239/wjd.v12.i2.170
Efficacy of telemedicine on glycaemic control in patients with type 2 diabetes: A meta-analysis
Julia De Groot, Dongjun Wu, Declan Flynn, Dylan Robertson, Gary Grant, Jing Sun
Julia De Groot, Dongjun Wu, Declan Flynn, Dylan Robertson, School of Medicine, Griffith University, Gold Coast 4222, Queensland, Australia
Gary Grant, School of Pharmacy and Pharmacology, Griffith University, Gold Coast 4222, Queensland, Australia
Jing Sun, School of Medicine and Menzies Health Institute Queensland, Griffith University, Brisbane 4222, Queensland, Australia
Author contributions: Sun J contributed to paper conceptualisation and design; Sun J and De Groot J contributed to research design; De Groot J, Flynn D and Robertson D compiled studies and extracted data; Sun J conducted statistical and meta-analysis; Wu D completed table and figure presentation; De Groot J, Wu D, Flynn D and Sun J conducted writing of the paper; Sun J and Grant G edited and proofed the final draft of the paper.
Conflict-of-interest statement: All authors declare no conflict of interests.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Jing Sun, PhD, Associate Professor, School of Medicine and Menzies Health Institute Queensland, Griffith University, Parkland Drive, Gold Coast, Queensland, QLD 4222, Brisbane 4222, Queensland, Australia. j.sun@griffith.edu.au
Received: October 21, 2020 Peer-review started: October 21, 2020 First decision: December 4, 2020 Revised: December 7, 2020 Accepted: December 29, 2020 Article in press: December 29, 2020 Published online: February 15, 2021
Core Tip
Core Tip: The findings indicate that telemedicine is effective for improving hemoglobin A1c (HbA1c) and thus, glycemic control in patients with type 2 diabetes. In addition, telemedicine interventions were also found to significantly improve other health outcomes as well as quality of life scores. The results of the subgroup analysis emphasized that interventions in the form of telemonitoring, via a clinical treatment model and with a focus on biomedical parameters, delivered at a less than weekly frequency and 6 mo duration would have the largest effect on HbA1c reduction. This is in addition to being led by allied health, through modes such as video conference and interactive telephone, with an intervention engagement level > 70% and a drop-out rate between 10%-19.9%.
