Are e-Health Interventions Effective in Reducing Diabetes-Related Distress and Depression in Patients with Type 2 Diabetes? A Systematic Review with Meta-Analysis

被引:4
|
作者
Fernandez-Rodriguez, Ruben [1 ,2 ]
Zhao, Lijun [2 ,6 ]
Bizzozero-Peroni, Bruno [1 ,3 ]
Martinez-Vizcaino, Vicente [1 ,4 ]
Mesas, Arthur Eumann [1 ,5 ]
Wittert, Gary [2 ]
Heilbronn, Leonie K. [2 ]
机构
[1] Univ Castilla La Mancha, Hlth & Social Res Ctr, Cuenca, Spain
[2] Univ Adelaide, Fac Hlth & Med Sci, Adelaide Med Sch, Adelaide, Australia
[3] Univ Republ, Higher Inst Phys Educ, Rivera, Uruguay
[4] Univ Autonoma Chile, Fac Hlth Sci, Talca, Chile
[5] Univ Estadual Londrina, Postgrad Program Publ Hlth, Londrina, Parana, Brazil
[6] South Australia Hlth & Med Res Inst, Level 7,North Terrace, Adelaide, SA 5000, Australia
关键词
emotional burden; type; 2; diabetes; meta-analysis; diabetes distress; depression; telemedicine; e-health; SELF-MANAGEMENT; RANDOMIZED-TRIAL; SUPPORT; ADULTS; PREVALENCE; OUTCOMES; PEOPLE; REHABILITATION; TELEMEDICINE;
D O I
10.1089/tmj.2023.0374
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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; 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.
引用
收藏
页码:919 / 939
页数:21
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