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
相关论文
共 299 条
[31]   Effectiveness of a Web-Based Intervention in Reducing Depression and Sickness Absence: Randomized Controlled Trial [J].
Beiwinkel, Till ;
Eissing, Tabea ;
Telle, Nils-Torge ;
Siegmund-Schultze, Elisabeth ;
Roessler, Wulf .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2017, 19 (06)
[32]  
Bendig E., 2019, Verhaltenstherapie, V32, P64, DOI DOI 10.1159/000501812
[33]   Internet-Based Interventions in Chronic Somatic Disease [J].
Bendig, Eileen ;
Bauereiss, Natalie ;
Ebert, David Daniel ;
Snoek, Frank ;
Andersson, Gerhard ;
Baumeister, Harald .
DEUTSCHES ARZTEBLATT INTERNATIONAL, 2018, 115 (40) :659-+
[34]   The therapeutic alliance in internet interventions: A narrative review and suggestions for future research [J].
Berger, Thomas .
PSYCHOTHERAPY RESEARCH, 2017, 27 (05) :511-524
[35]  
Berger Thomas, 2011, Cognitive Behaviour Therapy, V40, P251, DOI 10.1080/16506073.2011.616531
[36]   MoodHacker Mobile Web App With Email for Adults to Self-Manage Mild-to-Moderate Depression: Randomized Controlled Trial [J].
Birney, Amelia J. ;
Gunn, Rebecca ;
Russell, Jeremy K. ;
Ary, Dennis V. .
JMIR MHEALTH AND UHEALTH, 2016, 4 (01) :100-118
[37]   Network outcome analysis identifies difficulty initiating sleep as a primary target for prevention of depression: a 6-year prospective study [J].
Blanken, Tessa F. ;
Borsboom, Denny ;
Penninx, Brenda W. J. H. ;
Van Someren, Eus J. W. .
SLEEP, 2020, 43 (05)
[38]   Internet-based guided self-help for glioma patients with depressive symptoms: a randomized controlled trial [J].
Boele, Florien W. ;
Klein, Martin ;
Verdonck-de Leeuw, Irma M. ;
Cuijpers, Pim ;
Heimans, Jan J. ;
Snijders, Tom J. ;
Vos, Maaike ;
Bosma, Ingeborg ;
Tijssen, Cees C. ;
Reijneveld, Jaap C. .
JOURNAL OF NEURO-ONCOLOGY, 2018, 137 (01) :191-203
[39]   Internet-based treatment for depression in multiple sclerosis: A randomized controlled trial [J].
Boeschoten, Rosa E. ;
Dekker, Joost ;
Uitdehaag, Bernard M. J. ;
Beekman, Aartjan T. F. ;
Hoogendoorn, Adriaan W. ;
Collette, Emma H. ;
Cuijpers, Pim ;
Nieuwenhuis, Magdalena M. ;
van Oppen, Patricia .
MULTIPLE SCLEROSIS JOURNAL, 2017, 23 (08) :1112-1122
[40]   Basics of meta-analysis: I2 is not an absolute measure of heterogeneity [J].
Borenstein, Michael ;
Higgins, Julian P. T. ;
Hedges, Larry V. ;
Rothstein, Hannah R. .
RESEARCH SYNTHESIS METHODS, 2017, 8 (01) :5-18