Digital Interventions for the Treatment of Depression: A Meta-Analytic Review

被引:211
作者
Moshe, Isaac [1 ]
Terhorst, Yannik [2 ,3 ]
Philippi, Paula [3 ]
Domhardt, Matthias [3 ]
Cuijpers, Pim [4 ]
Cristea, Ioana [5 ]
Pulkki-Raback, Laura [1 ,6 ,7 ]
Baumeister, Harald [3 ]
Sander, Lasse B. [8 ]
机构
[1] Univ Helsinki, Fac Med, Dept Psychol & Logoped, POB 63, Helsinki 00014, Finland
[2] Ulm Univ, Inst Psychol & Educ, Dept Res Methods, Ulm, Germany
[3] Ulm Univ, Inst Psychol & Educ, Dept Clin Psychol & Psychotherapy, Ulm, Germany
[4] Vrije Univ Amsterdam, Amsterdam Publ Hlth Res Inst, Dept Clin Neuro & Dev Psychol, Amsterdam, Netherlands
[5] Univ Pavia, Dept Brain & Behav Sci, Pavia, Italy
[6] Univ Turku, Res Ctr Child Psychiat, Turku, Finland
[7] Univ Turku, Invest Flagship Acad Finland, Turku, Finland
[8] Albert Ludwigs Univ Freiburg, Dept Rehabil Psychol & Psychotherapy, Freiburg, Germany
关键词
depression; internet-based interventions; meta-analysis; review; COGNITIVE-BEHAVIORAL THERAPY; RANDOMIZED CONTROLLED-TRIAL; INTERNET-BASED TREATMENT; GUIDED-SELF-HELP; FACE-TO-FACE; INDIVIDUAL PARTICIPANT DATA; MENTAL-HEALTH INTERVENTIONS; MOBILE-BASED INTERVENTIONS; WEB-BASED INTERVENTION; PSYCHOLOGICAL TREATMENTS;
D O I
10.1037/bul0000334
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The high global prevalence of depression, together with the recent acceleration of remote care owing to the COVID-19 pandemic, has prompted increased interest in the efficacy of digital interventions for the treatment of depression. We provide a summary of the latest evidence base for digital interventions in the treatment of depression based on the largest study sample to date. A systematic literature search identified 83 studies (N = 15,530) that randomly allocated participants to a digital intervention for depression versus an active or inactive control condition. Overall heterogeneity was very high (I-2 = 84%). Using a random-effects multilevel metaregression model, we found a significant medium overall effect size of digital interventions compared with all control conditions (g = .52). Subgroup analyses revealed significant differences between interventions and different control conditions (WLC: g = .70; attention: g = .36; TAU: g = .31), significantly higher effect sizes in interventions that involved human therapeutic guidance (g = .63) compared with self-help interventions (g = .34), and significantly lower effect sizes for effectiveness trials (g = .30) compared with efficacy trials (g = .59). We found no significant difference in outcomes between smartphone-based apps and computer- and Internet-based interventions and no significant difference between human-guided digital interventions and face-to-face psychotherapy for depression, although the number of studies in both comparisons was low. Findings from the current meta-analysis provide evidence for the efficacy and effectiveness of digital interventions for the treatment of depression for a variety of populations. However, reported effect sizes may be exaggerated because of publication bias, and compliance with digital interventions outside of highly controlled settings remains a significant challenge. Public Significance Statement This meta-analysis demonstrates the efficacy of digital interventions in the treatment of depression for a variety of populations. Additionally, it highlights that digital interventions may have a valuable role to play in routine care, most notably when accompanied by human guidance. However, compliance with digital interventions remains a major challenge, with little more than 50% of participants completing the full intervention on average.
引用
收藏
页码:749 / 786
页数:38
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