Objective:No recent meta-analysis has examined the effects of cognitive-behavioural therapy (CBT) for adult depression. We decided to conduct such an updated meta-analysis.Methods: Studies were identified through systematic searches in bibliographical databases (PubMed, PsycINFO, Embase, and the Cochrane library). We included studies examining the effects of CBT, compared with control groups, other psychotherapies, and pharmacotherapy.Results: A total of 115 studies met inclusion criteria. The mean effect size (ES) of 94 comparisons from 75 studies of CBT and control groups was Hedges g = 0.71 (95% CI 0.62 to 0.79), which corresponds with a number needed to treat of 2.6. However, this may be an overestimation of the true ES as we found strong indications for publication bias (ES after adjustment for bias was g = 0.53), and because the ES of higher-quality studies was significantly lower (g = 0.53) than for lower-quality studies (g = 0.90). The difference between high-and low-quality studies remained significant after adjustment for other study characteristics in a multivariate meta-regression analysis. We did not find any indication that CBT was more or less effective than other psychotherapies or pharmacotherapy. Combined treatment was significantly more effective than pharmacotherapy alone (g = 0.49). Conclusions:There is no doubt that CBT is an effective treatment for adult depression, although the effects may have been overestimated until now. CBT is also the most studied psychotherapy for depression, and thus has the greatest weight of evidence. However, other treatments approach its overall efficacy. W W WUne méta-analyse de la thérapie cognitivo-comportementale pour la dépression adulte, seule et en comparaison avec d'autres traitements Objectif : Aucune méta-analyse récente n'a examiné les effets de la thérapie cognitivocomportementale (TCC) sur la dépression adulte. Nous avons décidé de mener cette mise à jour de méta-analyses.Méthodes : Des études ont été identifiées lors de recherches systématiques dans les bases de données bibliographiques (PubMed, PsycINFO, Embase, et Cochrane library). Nous avons inclus des études qui examinent les effets de la TCC, comparé à des groupes témoins, d'autres psychothérapies, et la pharmacothérapie.Résultats : Un total de 115 études satisfaisaient aux critères d'inclusion. L'ampleur (AE) moyenne de l'effet de 94 comparaisons dans 75 études de TCC et de groupes témoins

IMPORTANCE Self-guided internet-based cognitive behavioral therapy (iCBT) has the potential to increase access and availability of evidence-based therapy and reduce the cost of depression treatment.OBJECTIVES To estimate the effect of self-guided iCBT in treating adults with depressive symptoms compared with controls and evaluate the moderating effects of treatment outcome and response.DATA SOURCES A total of 13 384 abstracts were retrieved through a systematic literature search in PubMed, Embase, PsycINFO, and Cochrane Library from database inception to January 1, 2016.STUDY SELECTION Randomized clinical trials in which self-guided iCBT was compared with a control (usual care, waiting list, or attention control) in individuals with symptoms of depression. DATA EXTRACTION AND SYNTHESISPrimary authors provided individual participant data from 3876 participants from 13 of 16 eligible studies. Missing data were handled using multiple imputations. Mixed-effects models with participants nested within studies were used to examine treatment outcomes and moderators. MAIN OUTCOMES AND MEASURESOutcomes included the Beck Depression Inventory, Center for Epidemiological Studies-Depression Scale, and 9-item Patient Health Questionnaire scores. Scales were standardized across the pool of the included studies. RESULTSOf the 3876 study participants, the mean (SD) age was 42.0 (11.7) years, 2531 (66.0%) of 3832 were female, 1368 (53.1%) of 2574 completed secondary education, and 2262 (71.9%) of 3146 were employed. Self-guided iCBT was significantly more effective than controls on depressive symptoms severity (β = −0.21; Hedges g = 0.27) and treatment response (β = 0.53; odds ratio, 1.95; 95% CI, 1.52-2.50; number needed to treat, 8). Adherence to treatment was associated with lower depressive symptoms (β = −0.19; P = .001) and greater response to treatment (β = 0.90; P < .001). None of the examined participant and study-level variables moderated treatment outcomes.CONCLUSIONS AND RELEVANCE Self-guided iCBT is effective in treating depressive symptoms. The use of meta-analyses of individual participant data provides substantial evidence for clinical and policy decision making because self-guided iCBT can be considered as an evidence-based first-step approach in treating symptoms of depression. Several limitations of the iCBT should be addressed before it can be disseminated into routine care. M any studies [1][2][3][4] have found that depressive symptoms can be effectively treated with psychotherapy, pharmacotherapy, or both. Nevertheless, many people with depressive symptoms do not seek help, and even well-resourced health care systems find it difficult to marshal enough qualified therapists to offer psychological interventions. Access barriers to psychotherapy include limited availability of trained clinicians, high cost of treatment, and fear of stigmatization.5-8 As a consequence, a significant number of individuals with depressive symptoms remain untreated.9,10Self-guided internet-based cognitive behavioral therapy (iCBT) wi...

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Insomnia is a major public health problem considering its high prevalence, impact on daily life, co-morbidity with other disorders and societal costs. Cognitive behavioral treatment for insomnia (CBTI) is currently considered to be the preferred treatment. However, no meta-analysis exists of all studies using at least one component of CBTI for insomnia, which also uses modern techniques to pool data and to analyze subgroups of patients. We included 87 randomized controlled trials, comparing 118 treatments (3724 patients) to non-treated controls (2579 patients). Overall, the interventions had significant effects on: insomnia severity index (g = 0.98), sleep efficiency (g = 0.71), Pittsburgh sleep quality index (g = 0.65), wake after sleep onset (g = 0.63) and sleep onset latency (SOL; g = 0.57), number of awakenings (g = 0.29) and sleep quality (g = 0.40). The smallest effect was on total sleep time (g = 0.16). Face-to-face treatments of at least four sessions seem to be more effective than self-help interventions or face-to-face interventions with fewer sessions. Otherwise the results seem to be quite robust (similar for patients with or without comorbid disease, younger or older patients, using or not using sleep medication). We conclude that CBTI, either its components or the full package, is effective in the treatment of insomnia.