Eirini Karyotaki

Adherence to Internet-based and face-to-face cognitive behavioural therapy for depression: a meta-analysis.

Background Internet-based cognitive behavioural therapy (iCBT) is an effective and acceptable treatment for depression, especially when it includes guidance, but its treatment adherence has not yet been systematically studied. We conducted a meta-analysis, comparing the adherence to guided iCBT with the adherence to individual face-to-face CBT. Methods Studies were selected from a database of trials that investigate treatment for adult depression (see www.evidencebasedpsychotherapies.org), updated to January 2013. We identified 24 studies describing 26 treatment conditions (14 face-to-face CBT, 12 guided iCBT), by means of these inclusion criteria: targeting depressed adults, no comorbid somatic disorder or substance abuse, community recruitment, published in the year 2000 or later. The main outcome measure was the percentage of completed sessions. We also coded the percentage of treatment completers (separately coding for 100% or at least 80% of treatment completed). Results We did not find studies that compared guided iCBT and face-to-face CBT in a single trial that met our inclusion criteria. Face-to-face CBT treatments ranged from 12 to 28 sessions, guided iCBT interventions consisted of 5 to 9 sessions. Participants in face-to-face CBT completed on average 83.9% of their treatment, which did not differ significantly from participants in guided iCBT (80.8%, P  =  .59). The percentage of completers (total intervention) was significantly higher in face-to-face CBT (84.7%) than in guided iCBT (65.1%, P < .001), as was the percentage of completers of 80% or more of the intervention (face-to-face CBT: 85.2%, guided iCBT: 67.5%, P  =  .003). Non-completers of face-to-face CBT completed on average 24.5% of their treatment, while non-completers of guided iCBT completed on average 42.1% of their treatment. Conclusion We did not find studies that compared guided iCBT and face-to-face CBT in a single trial. Adherence to guided iCBT appears to be adequate and could be equal to adherence to face-to-face CBT.

The effects of psychotherapies for major depression in adults on remission, recovery and improvement: A meta-analysis

BACKGROUND Standardised effect sizes have been criticized because they are difficult to interpret and offer little clinical information. This meta-analyses examine the extent of actual improvement, the absolute numbers of patients no longer meeting criteria for major depression, and absolute rates of response and remission. METHODS We conducted a meta-analysis of 92 studies with 181 conditions (134 psychotherapy and 47 control conditions) with 6937 patients meeting criteria for major depressive disorder. Within these conditions, we calculated the absolute number of patients no longer meeting criteria for major depression, rates of response and remission, and the absolute reduction on the BDI, BDI-II, and HAM-D. RESULTS After treatment, 62% of patients no longer met criteria for MDD in the psychotherapy conditions. However, 43% of participants in the control conditions and 48% of people in the care-as-usual conditions no longer met criteria for MDD, suggesting that the additional value of psychotherapy compared to care-as-usual would be 14%. For response and remission, comparable results were found, with less than half of the patients meeting criteria for response and remission after psychotherapy. Additionally, a considerable proportion of response and remission was also found in control conditions. In the psychotherapy conditions, scores on the BDI were reduced by 13.42 points, 15.12 points on the BDI-II, and 10.28 points on the HAM-D. In the control conditions, these reductions were 4.56, 4.68, and 5.29. DISCUSSION Psychotherapy contributes to improvement in depressed patients, but improvement in control conditions is also considerable.

Efficacy of Self-guided Internet-Based Cognitive Behavioral Therapy in the Treatment of Depressive Symptoms: A Meta-analysis of Individual Participant Data

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 Synthesis Primary 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 Measures Outcomes 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. Results Of 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 (&bgr; = −0.21; Hedges g  = 0.27) and treatment response (&bgr; = 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 (&bgr; = −0.19; P = .001) and greater response to treatment (&bgr; = 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.

How effective are cognitive behavior therapies for major depression and anxiety disorders? A meta‐analytic update of the evidence

We report the current best estimate of the effects of cognitive behavior therapy (CBT) in the treatment of major depression (MDD), generalized anxiety disorder (GAD), panic disorder (PAD) and social anxiety disorder (SAD), taking into account publication bias, the quality of trials, and the influence of waiting list control groups on the outcomes. In our meta‐analyses, we included randomized trials comparing CBT with a control condition (waiting list, care‐as‐usual or pill placebo) in the acute treatment of MDD, GAD, PAD or SAD, diagnosed on the basis of a structured interview. We found that the overall effects in the 144 included trials (184 comparisons) for all four disorders were large, ranging from g=0.75 for MDD to g=0.80 for GAD, g=0.81 for PAD, and g=0.88 for SAD. Publication bias mostly affected the outcomes of CBT in GAD (adjusted g=0.59) and MDD (adjusted g=0.65), but not those in PAD and SAD. Only 17.4% of the included trials were considered to be high‐quality, and this mostly affected the outcomes for PAD (g=0.61) and SAD (g=0.76). More than 80% of trials in anxiety disorders used waiting list control groups, and the few studies using other control groups pointed at much smaller effect sizes for CBT. We conclude that CBT is probably effective in the treatment of MDD, GAD, PAD and SAD; that the effects are large when the control condition is waiting list, but small to moderate when it is care‐as‐usual or pill placebo; and that, because of the small number of high‐quality trials, these effects are still uncertain and should be considered with caution.

Predictors of treatment dropout in self-guided web-based interventions for depression: an 'individual patient data' meta-analysis

BACKGROUND It is well known that web-based interventions can be effective treatments for depression. However, dropout rates in web-based interventions are typically high, especially in self-guided web-based interventions. Rigorous empirical evidence regarding factors influencing dropout in self-guided web-based interventions is lacking due to small study sample sizes. In this paper we examined predictors of dropout in an individual patient data meta-analysis to gain a better understanding of who may benefit from these interventions. METHOD A comprehensive literature search for all randomized controlled trials (RCTs) of psychotherapy for adults with depression from 2006 to January 2013 was conducted. Next, we approached authors to collect the primary data of the selected studies. Predictors of dropout, such as socio-demographic, clinical, and intervention characteristics were examined. RESULTS Data from 2705 participants across ten RCTs of self-guided web-based interventions for depression were analysed. The multivariate analysis indicated that male gender [relative risk (RR) 1.08], lower educational level (primary education, RR 1.26) and co-morbid anxiety symptoms (RR 1.18) significantly increased the risk of dropping out, while for every additional 4 years of age, the risk of dropping out significantly decreased (RR 0.94). CONCLUSIONS Dropout can be predicted by several variables and is not randomly distributed. This knowledge may inform tailoring of online self-help interventions to prevent dropout in identified groups at risk.

Managing depression in older age: psychological interventions

The number of studies on psychological treatments of depression in older adults has increased considerably in the past years. Therefore, we conducted an updated meta-analysis of these studies. A total of 44 studies comparing psychotherapies to control groups, other therapies or pharmacotherapy could be included. The overall effect size indicating the difference between psychotherapy and control groups was g=0.64 (95% CI: 0.47-0.80), which corresponds with a NNT of 3. These effects were maintained at 6 months or longer post randomization (g=0.27; 95%CI: 0.16-0.37). Specific types of psychotherapies that were found to be effective included cognitive behavior therapy (g=0.45; 95% CI: 0.29-0.60), life review therapy (g=0.59; 95% CI: 0.36-0.82) and problem-solving therapy (g=0.46; 95% CI: 0.18-0.74). Treatment compared to waiting list control groups resulted in larger effect sizes than treatments compared to care-as-usual and other control groups (p<0.05). Studies with lower quality resulted in higher effect sizes than high-quality studies (p<0.05). Direct comparisons between different types of psychotherapy suggested that cognitive behavior therapy and problem-solving therapy may be more effective than non-directive counseling and other psychotherapies may be less effective than other therapies. This should be considered with caution, however, because of the small number of studies. There were not enough studies to examine the long-term effects of psychotherapies and to compare psychotherapy with pharmacotherapy or combined treatments. We conclude that it is safe to assume that psychological therapies in general are effective in late-life depression, and this is especially well-established for cognitive behavior therapy and problem-solving therapy.

Efficacy of Self-guided Internet-Based Cognitive Behavioral Therapy in the Treatment of Depressive Symptoms

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 Synthesis Primary 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 Measures Outcomes 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. Results Of 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 (&bgr; = −0.21; Hedges g  = 0.27) and treatment response (&bgr; = 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 (&bgr; = −0.19; P = .001) and greater response to treatment (&bgr; = 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.

Combining pharmacotherapy and psychotherapy or monotherapy for major depression? A meta-analysis on the long-term effects

BACKGROUND The present meta-analysis aimed to examine to what extent combined pharmacotherapy with psychotherapy results in a different response to treatment compared to psychotherapy or pharmacotherapy alone in adults with major depression at six months or longer postrandomization. METHODS A systematic literature search resulted in 23 randomized controlled trials with 2184 participants. Combined treatment was compared to either psychotherapy or anti-depressant medication alone in both the acute phase and the maintenance phase. Odds ratios of a positive outcome were calculated for all comparisons. RESULTS In acute phase treatment, combined psychotherapy with antidepressants outperformed antidepressants alone at six months or longer postrandomization in patients with major depressive disorder (OR=2.93, 95%CI 2.15-3.99, p<0.001). Heterogeneity was zero (95%CI 0-57%, p>0.05). However, combined therapy resulted in equal response to treatment compared to psychotherapy alone at six months or longer postrandomization. As for the maintenance treatment, combined maintenance psychotherapy with antidepressants resulted in better-sustained treatment response compared to antidepressants at six months or longer postrandomization (OR=1.61, 95%CI 1.14-2.27, p<0.05). Heterogeneity was zero (95%CI 0-68%, p>0.05). CONCLUSIONS Combined therapy results in a superior enduring effect compared to antidepressants alone in patients with major depression. Psychotherapy is an adequate alternative for combined treatment in the acute phase as it is as effective as combined treatment in the long-term.

The effects of blinding on the outcomes of psychotherapy and pharmacotherapy for adult depression: A meta-analysis.

BACKGROUND Randomized trials with antidepressants are often run under double blind placebo-controlled conditions, whereas those with psychotherapies are mostly unblinded. This can introduce bias in favor of psychotherapy when the treatments are directly compared. In this meta-analysis, we examine this potential source of bias. METHODS We searched Pubmed, PsycInfo, Embase and the Cochrane database (1966 to January 2014) by combining terms indicative of psychological treatment and depression, and limited to randomized trials. We included 35 trials (with 3721 patients) in which psychotherapy and pharmacotherapy for adult depression were directly compared with each other. We calculated effect sizes for each study indicating the difference between psychotherapy and pharmacotherapy at post-test. Then, we examined the difference between studies with a placebo condition and those without in moderator analyses. RESULTS We did not find a significant difference between the studies with and those without a placebo condition. The studies in which a placebo condition was included indicated no significant difference between psychotherapy and pharmacotherapy (g=-0.07; NNT=25). Studies in which no placebo condition was included (and patients and clinicians in both conditions were not blinded), resulted in a small, but significant difference between psychotherapy and pharmacotherapy in favor of pharmacotherapy (g=-0.13; NNT=14). CONCLUSIONS Studies comparing psychotherapy and pharmacotherapy in which both groups of patients (and therapists) are not blinded (no placebo condition is included) result in a very small, but significantly higher effect for pharmacotherapy.

THE LONG-TERM EFFICACY OF ACUTE-PHASE PSYCHOTHERAPY FOR DEPRESSION: A META-ANALYSIS OF RANDOMIZED TRIALS

Understanding the effectiveness of treatment for depression in both the short term and long term is essential for clinical decision making. The present meta‐analysis examined treatment effects on depression and quality of life in acute‐phase psychotherapeutic interventions compared to no treatment control groups for adult depression at 6 months or longer postrandomization.