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Digital Interventions for the Treatment of Depression: A Meta-Analytic Review
被引:177
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.
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页码:749 / 786
页数:38
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