Effects of Internet-Based Cognitive Behavioral Therapy in Routine Care for Adults in Treatment for Depression and Anxiety: Systematic Review and Meta-Analysis
- PMID: 32865497
- PMCID: PMC7490682
- DOI: 10.2196/18100
Effects of Internet-Based Cognitive Behavioral Therapy in Routine Care for Adults in Treatment for Depression and Anxiety: Systematic Review and Meta-Analysis
Abstract
Background: Although there is evidence for the efficacy of internet-based cognitive behavioral therapy (iCBT), the generalizability of results to routine care is limited.
Objective: This study systematically reviews effectiveness studies of guided iCBT interventions for the treatment of depression or anxiety.
Methods: The acceptability (uptake, participants' characteristics, adherence, and satisfaction), effectiveness, and negative effects (deterioration) of nonrandomized pre-post designs conducted under routine care conditions were synthesized using systematic review and meta-analytic approaches.
Results: A total of 19 studies including 30 groups were included in the analysis. Despite high heterogeneity, individual effect sizes of investigated studies indicate clinically relevant changes, with effect sizes ranging from Hedges' g=0.42-1.88, with a pooled effect of 1.78 for depression and 0.94 for anxiety studies. Uptake, participants' characteristics, adherence, and satisfaction indicate a moderate to high acceptability of the interventions. The average deterioration across studies was 2.9%.
Conclusions: This study provides evidence supporting the acceptability and effectiveness of guided iCBT for the treatment of depression and anxiety in routine care. Given the high heterogeneity between interventions and contexts, health care providers should select interventions that have been proven in randomized controlled clinical trials. The successful application of iCBT may be an effective way of increasing health care in multiple contexts.
Keywords: acceptability; anxiety; depression; effectiveness; internet-based interventions; routine care.
©Anne Etzelmueller, Christiaan Vis, Eirini Karyotaki, Harald Baumeister, Nickolai Titov, Matthias Berking, Pim Cuijpers, Heleen Riper, David Daniel Ebert. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 31.08.2020.
Conflict of interest statement
Conflicts of Interest: Associate Prof DE reports to have received consultancy fees or served in the scientific advisory board for several companies such as Minddistrict, Sanofi, Lantern, and Schön Kliniken; German health insurance companies (BARMER and Techniker Krankenkasse); and chambers of psychotherapists. Dr DE is one of the stakeholders of the Institute for Health Training Online (GET.ON), which aims to implement scientific findings related to digital health interventions into routine care. AE is employed by the Institute for Health Training Online (GET.ON) as a research coordinator. Prof. NT is funded by the Australian Government to develop and provide a free national online and telephone-delivered treatment service. Prof. HB served in the e-mental health–associated scientific advisory boards, e-mental health interest groups, and task forces. All other authors do not report any conflicts of interest.
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