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Are e-Health Interventions Effective in Reducing Diabetes-Related Distress and Depression in Patients with Type 2 Diabetes? A Systematic Review with Meta-Analysis
dc.contributor.author | Fernández-Rodríguez, Rubén | |
dc.contributor.author | Zhao, Lijun | |
dc.contributor.author | Bizzozero-Peroni, Bruno | |
dc.contributor.author | Martínez-Vizcaíno, Vicente | |
dc.contributor.author | Mesas, Arthur Eumann | |
dc.contributor.author | Wittert, Gary | |
dc.contributor.author | Heilbronn, Leonie K. | |
dc.date.accessioned | 2024-06-19T04:40:10Z | |
dc.date.available | 2024-06-19T04:40:10Z | |
dc.date.issued | 2024 | |
dc.identifier | 10.1089/tmj.2023.0374 | |
dc.identifier.issn | 15305627 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12728/11317 | |
dc.description.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 Meta-Analyses 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; I2 = 23.9%; n = 10 studies), being -0.06 (95% CI = −0.15 to 0.02; I2 = 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; I2 = 85.1%; n = 7 studies). Conclusion: e-Health interventions are effective in diminishing diabetes distress among adults with T2D, inducing clinically meaningful reductions. Copyright 2024, Mary Ann Liebert, Inc., publishers. | es_ES |
dc.description.sponsorship | Ministerio de Educación, Cultura y Deporte, MECD, (FPU 19/00167); Ministerio de Educación, Cultura y Deporte, MECD; European Social Fund Plus, ESF, (2020-PREDUCLM-16746); European Social Fund Plus, ESF; Universidad de Castilla-La Mancha, UCLM | es_ES |
dc.language.iso | en | es_ES |
dc.publisher | Mary Ann Liebert Inc. | es_ES |
dc.subject | depression | es_ES |
dc.subject | diabetes distress | es_ES |
dc.subject | e-health | es_ES |
dc.subject | emotional burden | es_ES |
dc.subject | meta-analysis | es_ES |
dc.subject | telemedicine | es_ES |
dc.subject | type 2 diabetes | es_ES |
dc.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 | es_ES |
dc.type | Article | es_ES |