Effectiveness of telemonitoring intervention on glycaemic control in patients with type 2 diabetes mellitus: A systematic review and meta-analysis.


Journal

Diabetes research and clinical practice
ISSN: 1872-8227
Titre abrégé: Diabetes Res Clin Pract
Pays: Ireland
ID NLM: 8508335

Informations de publication

Date de publication:
Jul 2023
Historique:
received: 18 04 2022
revised: 18 02 2023
accepted: 18 05 2023
medline: 19 6 2023
pubmed: 23 5 2023
entrez: 22 5 2023
Statut: ppublish

Résumé

Type 2 diabetes mellitus (T2DM) is a rising global health concern that requires long-term treatment and close monitoring. Telemonitoring has been shown to be a promising tool to facilitate patient-physician interaction and improve glycaemic control. Randomised controlled trials (RCT) of telemonitoring in T2DM published between 1990 and 2021 were searched through multiple electronic databases. The primary outcome variables included HbA1c and fasting blood glucose (FBG), and BMI was a secondary outcome variable. Thirty RCT with a total of 4,678 participants were included in this study. Twenty-six studies reported on HbA1c, which was shown to be significantly lower in participants on telemonitoring when compared to conventional care. Ten studies investigated FBG which collectively showed no statistically significant difference. Subgroup analysis demonstrated the effect of telemonitoring on glycaemic control is influenced by a range of factors concerning system practicality, user engagement, patient characteristics and disease education. Telemonitoring exhibited a great potential to improve T2DM management. Several technical features and patient factors may influence the effectiveness of telemonitoring. Further studies are needed to verify the findings and address limitations before its implementation into routine practice.

Sections du résumé

BACKGROUND BACKGROUND
Type 2 diabetes mellitus (T2DM) is a rising global health concern that requires long-term treatment and close monitoring. Telemonitoring has been shown to be a promising tool to facilitate patient-physician interaction and improve glycaemic control.
METHOD METHODS
Randomised controlled trials (RCT) of telemonitoring in T2DM published between 1990 and 2021 were searched through multiple electronic databases. The primary outcome variables included HbA1c and fasting blood glucose (FBG), and BMI was a secondary outcome variable.
RESULTS RESULTS
Thirty RCT with a total of 4,678 participants were included in this study. Twenty-six studies reported on HbA1c, which was shown to be significantly lower in participants on telemonitoring when compared to conventional care. Ten studies investigated FBG which collectively showed no statistically significant difference. Subgroup analysis demonstrated the effect of telemonitoring on glycaemic control is influenced by a range of factors concerning system practicality, user engagement, patient characteristics and disease education.
CONCLUSION CONCLUSIONS
Telemonitoring exhibited a great potential to improve T2DM management. Several technical features and patient factors may influence the effectiveness of telemonitoring. Further studies are needed to verify the findings and address limitations before its implementation into routine practice.

Identifiants

pubmed: 37217016
pii: S0168-8227(23)00490-4
doi: 10.1016/j.diabres.2023.110727
pii:
doi:

Substances chimiques

Glycated Hemoglobin 0
Blood Glucose 0

Types de publication

Meta-Analysis Systematic Review Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

110727

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jinxuan Cai (J)

School of Medicine and Dentistry, Griffith University, Q4215, Australia. Electronic address: jinxuan.cai@griffithuni.edu.au.

Huaying Xu (H)

School of Medicine and Dentistry, Griffith University, Q4215, Australia. Electronic address: huaying.xu@griffithuni.edu.au.

Stephen Jiang (S)

School of Medicine and Dentistry, Griffith University, Q4215, Australia. Electronic address: stephen.jiang@griffithuni.edu.au.

Jerry Sung (J)

School of Medicine and Dentistry, Griffith University, Q4215, Australia. Electronic address: jerry.sung@griffithuni.edu.au.

Rakshat Sawhney (R)

School of Medicine and Dentistry, Griffith University, Q4215, Australia. Electronic address: rakshat.sawhney@griffithuni.edu.au.

Simon Broadley (S)

School of Medicine and Dentistry, Griffith University, Q4215, Australia; Menzies Health Institute Queensland, Griffith University, Q4215, Australia; Department of Neurology, Gold Coast University Hospital, Q4222, Australia. Electronic address: simon.broadley@griffith.edu.au.

Jing Sun (J)

School of Medicine and Dentistry, Griffith University, Q4215, Australia; Menzies Health Institute Queensland, Griffith University, Q4215, Australia; Institute for Integrated and Intelligent System, Griffith University, Q4222, Australia. Electronic address: j.sun@griffith.edu.au.

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Classifications MeSH