The Effectiveness of Telemedicine Solutions for the Management of Type 2 Diabetes: A Systematic Review, Meta-Analysis, and Meta-Regression

Author:

Hangaard Stine12ORCID,Laursen Sisse H.13,Andersen Jonas D.1ORCID,Kronborg Thomas12,Vestergaard Peter245,Hejlesen Ole1,Udsen Flemming W.1ORCID

Affiliation:

1. Department of Health Science and Technology, Aalborg University, Aalborg, Denmark

2. Steno Diabetes Center North Denmark, Aalborg, Denmark

3. Department of Nursing, University College of Northern Denmark, Aalborg, Denmark

4. Department of Endocrinology, Aalborg University Hospital, Aalborg, Denmark

5. Department of Clinical Medicine, Aalborg University, Aalborg, Denmark

Abstract

Background: Previous systematic reviews have aimed to clarify the effect of telemedicine on diabetes. However, such reviews often have a narrow focus, which calls for a more comprehensive systematic review within the field. Hence, the objective of the present systematic review, meta-analysis, and meta-regression is to evaluate the effectiveness of telemedicine solutions versus any comparator without the use of telemedicine on diabetes-related outcomes among adult patients with type 2 diabetes (T2D). Methods: This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We considered telemedicine randomized controlled trials (RCT) including adults (≥18 years) diagnosed with T2D. Change in glycated hemoglobin (HbA1c, %) was the primary outcome. PubMed, EMBASE, and the Cochrane Library Central Register of Controlled Trials (CENTRAL) were searched on October 14, 2020. An overall treatment effect was estimated using a meta-analysis performed on the pool of included studies based on the mean difference (MD). The revised Cochrane risk-of-bias tool was applied and the certainty of evidence was graded using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach. Results: The final sample of papers included a total of 246, of which 168 had sufficient information to calculate the effect of HbA1c%. The results favored telemedicine, with an MD of −0.415% (95% confidence interval [CI] = −0.482% to −0.348%). The heterogeneity was great (I2 = 93.05%). A monitoring component gave rise to the higher effects of telemedicine. Conclusions: In conclusion, telemedicine may serve as a valuable supplement to usual care for patients with T2D. The inclusion of a telemonitoring component seems to increase the effect of telemedicine.

Publisher

SAGE Publications

Subject

Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine

Reference287 articles.

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3. Prevalence of diagnosed type 1 and type 2 diabetes among US adults in 2016 and 2017: population based study

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