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https://hdl.handle.net/2440/140511
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Type: | Journal article |
Title: | Are e-Health Interventions Effective in Reducing Diabetes-Related Distress and Depression in Patients with Type 2 Diabetes? A Systematic Review with Meta-Analysis |
Author: | Fernández-Rodríguez, R. Zhao, L. Bizzozero-Peroni, B. Martínez-Vizcaíno, V. Mesas, A.E. Wittert, G. Heilbronn, L.K. |
Citation: | Telemedicine and e-Health, 2023; 30(4):919-939 |
Publisher: | Mary Ann Liebert Inc |
Issue Date: | 2023 |
ISSN: | 1530-5627 1556-3669 |
Statement of Responsibility: | Rubén Fernández-Rodrıguez, Bruno Bizzozero-Peroni, Vicente Martínez-Vizcaíno, Arthur Eumann Mesas, Gary Wittert, Leonie K. Heilbronn |
Abstract: | Background: e-Health refers to any health care service delivered through the internet or related technologies, to improve quality of life. Despite the increasing use of e-health interventions to manage type 2 diabetes (T2D), there is a lack of evidence about the effectiveness on diabetes distress and depression, which are common issues in those living with T2D. Purpose: To synthesize and determine the effects of e-health interventions on diabetes distress and depression among patients with T2D. Methods: We systematically searched PubMed, Scopus, Cochrane CENTRAL, and Web of Science for randomized controlled trials (RCTs), non-RCTs and observational cohort studies for the effects of e-health interventions on diabetes distress and depression in patients with T2D up to September 14, 2022. The Preferred Reporting Items for Systematic Reviews and MetaAnalyses 2020 recommendations were followed. The risk of bias was assessed according to the Risk-of-Bias 2 tool (RCTs), the Risk Of Bias In Non-randomised Studies-of Interventions (ROBINS-I) (non-RCTs) and the National Institute of Health tool (observational). The standardized mean difference (SMD) and its related 95% confidence intervals (CIs) were estimated with the DerSimonian–Laird method through random-effect models. A pooled raw mean difference (MD) meta-analysis was conducted for RCTs comparing the effects of e-health versus control on diabetes distress screening to display the clinical impact. Results: A total of 41 studies (24 RCTs, 14 non-RCTs, and 3 observational) involving 8,667 individuals were included. The pooled SMD for the effect of e-health versus the control group on diabetes distress was -0.14 (95% CI = -0.24 to -0.04; I 2 = 23.9%; n = 10 studies), being -0.06 (95% CI = -0.15 to 0.02; I 2 = 7.8%; n = 16 studies) for depression. The pooled raw MD on diabetes distress screening showed a reduction of -0.54 points (95% CI = -0.81 to -0.27; I 2 = 85.1%; n = 7 studies). Conclusion: e-Health interventions are effective in diminishing diabetes distress among adults with T2D, inducing clinically meaningful reductions. |
Keywords: | depression diabetes distress e-health emotional burden meta-analysis telemedicine type 2 diabetes |
Rights: | © Mary Ann Liebert, INC. |
DOI: | 10.1089/tmj.2023.0374 |
Published version: | http://dx.doi.org/10.1089/tmj.2023.0374 |
Appears in Collections: | Research Outputs |
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