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Abstract
Cognitive behavioral therapy (CBT) represents one of the major treatment options for depressive disorders besides pharmacological interventions. While newly developed digital CBT approaches hold important advantages due to higher accessibility, their relative effectiveness compared to traditional CBT remains unclear. We conducted a systematic literature search to identify all studies that conducted a CBT-based intervention (face-to-face or digital) in patients with major depression. Random-effects meta-analytic models of the standardized mean change using raw score standardization (SMCR) were computed. In 106 studies including n = 11854 patients face-to-face CBT shows superior clinical effectiveness compared to digital CBT when investigating depressive symptoms (p < 0.001, face-to-face CBT: SMCR = 1.97, 95%-CI: 1.74–2.13, digital CBT: SMCR = 1.20, 95%-CI: 1.08–1.32) and adherence (p = 0.014, face-to-face CBT: 82.4%, digital CBT: 72.9%). However, after accounting for differences between face-to-face and digital CBT studies, both approaches indicate similar effectiveness. Important variables with significant moderation effects include duration of the intervention, baseline severity, adherence and the level of human guidance in digital CBT interventions. After accounting for potential confounders our analysis indicates comparable effectiveness of face-to-face and digital CBT approaches. These findings underline the importance of moderators of clinical effects and provide a basis for the future personalization of CBT treatment in depression.
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1 University of Cologne, Faculty of Medicine and University Hospital of Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany (GRID:grid.6190.e) (ISNI:0000 0000 8580 3777); Ludwig-Maximilian University, Department of Psychiatry and Psychotherapy, Munich, Germany (GRID:grid.5252.0) (ISNI:0000 0004 1936 973X)
2 University of Cologne, Faculty of Medicine and University Hospital of Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany (GRID:grid.6190.e) (ISNI:0000 0000 8580 3777)
3 Ludwig-Maximilian University, Department of Psychiatry and Psychotherapy, Munich, Germany (GRID:grid.5252.0) (ISNI:0000 0004 1936 973X)
4 University of Heidelberg, Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Mannheim, Germany (GRID:grid.7700.0) (ISNI:0000 0001 2190 4373); King’s College London, ESRC Centre for Society and Mental Health, London, UK (GRID:grid.13097.3c) (ISNI:0000 0001 2322 6764); King’s College London, Centre for Epidemiology and Public Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology and Neuroscience, London, UK (GRID:grid.13097.3c) (ISNI:0000 0001 2322 6764)
5 Charité Universitätsmedizin, Department of Child and Adolescent Psychiatry, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662); University of Glasgow, Institute of Neuroscience and Psychology, Glasgow, UK (GRID:grid.8756.c) (ISNI:0000 0001 2193 314X)
6 University of Melbourne, Centre for Youth Mental Health, Melbourne, Australia (GRID:grid.1008.9) (ISNI:0000 0001 2179 088X); Orygen, Parkville, Australia (GRID:grid.488501.0) (ISNI:0000 0004 8032 6923)
7 University of Cologne, Faculty of Medicine and University Hospital of Cologne, Department of Psychiatry and Psychotherapy, Cologne, Germany (GRID:grid.6190.e) (ISNI:0000 0000 8580 3777); Institute for Cognitive Neuroscience (INM-3), Research Center Jülich, Jülich, Germany (GRID:grid.8385.6) (ISNI:0000 0001 2297 375X)