Congruency of multimodal data-driven personalization with shared decision-making for StayFine: individualized app-based relapse prevention for anxiety and depression in young people.

Tailoring interventions to the individual has been hypothesized to improve treatment efficacy. Personalization of target-specific underlying mechanisms might improve treatment effects as well as adherence. Data-driven personalization of treatment, however, is still in its infancy, especially concerning the integration of multiple sources of data-driven advice with shared decision-making. This study describes an innovative type of data-driven personalization in the context of StayFine, a guided app-based relapse prevention intervention for 13- to 21-year-olds in remission of anxiety or depressive disorders (n = 74). Participants receive six modules, of which three are chosen from five optional modules. Optional modules are Enhancing Positive Affect, Behavioral Activation, Exposure, Sleep, and Wellness. All participants receive Psycho-Education, Cognitive Restructuring, and a Relapse Prevention Plan. The personalization approach is based on four sources: (1) prior diagnoses (diagnostic interview), (2) transdiagnostic psychological factors (online self-report questionnaires), (3) individual symptom networks (ecological momentary assessment, based on a two-week diary with six time points per day), and subsequently, (4) patient preference based on shared decision-making with a trained expert by experience. This study details and evaluates this innovative type of personalization approach, comparing the congruency of advised modules between the data-driven sources (1-3) with one another and with the chosen modules during the shared decision-making process (4). The results show that sources of data-driven personalization provide complementary advice rather than a confirmatory one. The indications of the modules Exposure and Behavioral Activation were mostly based on the diagnostic interview, Sleep on the questionnaires, and Enhancing Positive Affect on the network model. Shared decision-making showed a preference for modules improving positive concepts rather than combating negative ones, as an addition to the data-driven advice. Future studies need to test whether treatment outcomes and dropout rates are improved through personalization.

Evaluating Effect Moderators in Cognitive Versus Behavioral Based CBT-Modules and Sequences Towards Preventing Adolescent Depression.

OBJECTIVE: The aim of this study was to investigate age group, gender, and baseline depressive symptom severity as possible effect moderators in (1) cognitive versus behavioral based CBT-modules and (2) sequences of modules that started either with cognitive or behavioral modules in indicated depression prevention in adolescents. METHOD: We conducted a pragmatic cluster-randomized trial under four parallel conditions. Each condition consisted of four CBT-modules of three sessions (cognitive restructuring, problem solving, behavioral activation, relaxation), but the sequencing of modules differed. The CBT-modules and sequences were clustered into more cognitive versus more behavioral based approaches. The sample involved 282 Dutch adolescents with elevated depressive symptoms (Mage = 13.8; 55.7% girls, 92.9% Dutch). Assessments were conducted at baseline, after three sessions, at post-intervention and 6-month follow-up with self-reported depressive symptoms as the primary outcome. RESULTS: We found no evidence for substantial moderation effects. Age group, gender, and depressive symptom severity level at baseline did not moderate the effects of cognitive versus behavioral modules after three sessions. No evidence was also found that these characteristics moderated the effectiveness of sequences of modules that started either with cognitive or behavioral modules at post-intervention and 6-month follow-up. CONCLUSION: Cognitive and behavioral based modules and sequences in the prevention of depression in adolescents might apply to a relatively wide range of adolescents in terms of age group, gender, and severity levels of depressive symptoms.Abbreviation: CDI-2:F: Children's Depression Inventory-2 Full-length version; CDI-2:S: Children's Depression Inventory-2 Short version; STARr: Solve, Think, Act, Relax, and repeat.

Individual behavioral activation in the treatment of depression: A meta analysis.

OBJECTIVE: Behavioral activation (BA) is an extensively examined treatment for depression which is relatively simple to apply in comparison to other psychotherapies. BA aims to increase positive interactions between a person and the environment. All previous meta-analyses focused on BA in groups and guided self-help, but none focused on BA in individual psychotherapy. The goal of the current meta-analysis is to examine the pooled effects of trials comparing individual BA to control conditions. METHODS: We conducted systematic searches and conducted random effects meta-analyses to examine the effects of BA. RESULTS: We included 22 randomized controlled trials (with 819 patients) comparing individual behavioral activation with waitlist, usual care, or other control conditions on distal treatment outcomes. Nine studies were rated as low risk of bias. We found a large effect (Hedges' g = 0.85; 95% CI: 0.57; 1.1) with high heterogeneity (75%; 95% CI: 62; 83). When only studies with low risk of bias were considered, the effect size was still significant (g = 0.56; 95% CI: 0.09; 1.03), with high heterogeneity (I2 = 80%; 95% CI: 66; 89; prediction interval: -0.85; 1.98). CONCLUSION: BA is an effective, relatively simple type of therapy that can be applied broadly in differing populations/.

A Multilevel Meta-analysis of Single-Case Research on Interventions for Internalizing Disorders in Children and Adolescents.

The effectiveness of interventions for internalizing disorders in children and adolescents was studied using a review and meta-analysis of published single-case research. Databases and other resources were searched for quantitative single-case studies in youth with anxiety, depressive, and posttraumatic stress disorders. Raw data from individual cases were aggregated and analyzed by means of multilevel meta-analytic models. Outcome variables were symptom severity assessed across baseline and treatment phases of the studies, and diagnostic status at post- and follow-up treatment. Single-case studies were rated for quality. We identified 71 studies including 321 cases (Mage = 10.66 years; 55% female). The mean quality of the studies was rated as below average, although there were considerable differences between the studies. Overall, positive within-person changes during the treatment phase in comparison to the baseline phase were found. In addition, positive changes in the diagnostic status were observed at post- and follow-up treatment. Yet high variability in treatment effects was found between cases and studies. This meta-analysis harvests the knowledge from published single-case research in youth-internalizing disorders and illustrates how within-person information from single-case studies can be summarized to explore the generalizability of the results from this type of research. The results emphasize the importance of keeping account of individual variability in providing and investigating youth interventions.

Commentary: Why treatment is the best choice for childhood mental disorders - a commentary on Roest et al. (2022).

An important question in mental healthcare for children is whether treatments are effective and safe in the long run. Here, we comment on a recent editorial perspective by Roest et al. (2022), who argue, based on an overview of systematic reviews, 'that there is no convincing evidence that interventions for the most common childhood disorders are beneficial in the long term'. We believe that the available evidence does not justify this conclusion and express our concern regarding the harmful effects of their message. We show that there is evidence to suggest beneficial longer term treatment effects for each of the disorders and explain why evidence-based treatment should be offered to children with mental disorders.

Relative Effectiveness of CBT-Components and Sequencing in Indicated Depression Prevention for Adolescents: A Cluster-Randomized Microtrial.

OBJECTIVE: Cognitive Behavioral Therapy (CBT) was dismantled into four modules of three sessions each: cognitive restructuring (Think), behavioral activation (Act), problem solving (Solve) and relaxation (Relax). We investigated the modules' relative effectiveness in indicated depression prevention for adolescents and examined variations in sequencing of these modules. METHOD: We performed a pragmatic cluster-randomized microtrial with four parallel conditions: (1) Think-Act-Relax-Solve (n = 14 clusters, n = 81 participants); (2) Act-Think-Relax-Solve (n = 13, n = 69); (3) Solve-Act-Think-Relax (n = 13, n = 77); and (4) Relax-Solve-Act-Think (n = 12, n = 55). The sample consisted of 282 Dutch adolescents with elevated depressive symptoms (Mage = 13.8; 55.7% girls, 92.9% Dutch). In total 52 treatment groups were randomized as a cluster. Assessments were conducted at baseline, after each module and at 6-month follow-up with depressive symptoms as primary outcome. RESULTS: None of the modules (Think, Act, Solve, Relax) was associated with a significant decrease in depressive symptoms after three sessions and no significant differences in effectiveness were found between the modules. All sequences of modules were associated with a significant decrease in depressive symptoms at post-intervention, except the sequence Relax-Solve-Act-Think. At 6-month follow-up, all sequences showed a significant decrease in depressive symptoms. No significant differences in effectiveness were found between the sequences at post-intervention and 6-month follow-up. CONCLUSIONS: Regardless of the CBT technique provided, one module of three sessions may not be sufficient to reduce depressive symptoms. The sequence in which the CBT components cognitive restructuring, behavioral activation, problem solving and relaxation are offered, does not appear to significantly influence outcomes at post- intervention or 6-month follow-up. ABBREVIATIONS: CDI-2:F: Children's Depression Inventory-2 Full-length version; CDI-2:S: Children's Depression Inventory-2 Short version; STARr: Solve, Think, Act, Relax and repeat.

The effects of psychological treatments of depression in children and adolescents on response, reliable change, and deterioration: a systematic review and meta-analysis.

Meta-analyses show that psychotherapies are effective in the treatment of depression in children and adolescents. However, these effects are usually reported in terms of effect sizes. For patients and clinicians, it is important to know whether patients achieve a clinically significant improvement or deterioration. We conducted such a meta-analysis to examine response, clinically significant change, clinically significant deterioration and recovery as outcomes. We searched four bibliographic databases and included 40 randomised trials comparing psychotherapy for youth depression against control conditions. We used a validated method to estimate outcome rates, based on means, standard deviation and N at baseline and post-test. We also calculated numbers-need-to- treat (NNT). The overall response rate in psychotherapies at 2 (±1) months after baseline was 39% (95% CI: 34-45) and 24% (95% CI: 0.19-28) in control conditions (NNT: 6.2). The difference between therapy and control was still significant at 6-12 months after baseline (NNT=7.8). Clinically significant improvement was found in 54% of youth in therapy, compared with 32% in control groups (NNT=5.3); clinically significant deterioration was 6% in therapy, 13% in controls (NNT=5.1); recovery was 58% in therapy, 36% in controls (NNT=3.3). Smaller effects were found in studies with low risk of bias. Psychotherapies for depression in youth are effective compared to control conditions, but more than 60% of youth receiving therapy do not respond. More effective treatments and treatment strategies are clearly needed. Trial registration https://osf.io/84xka.

Meta-Analysis: Relapse Prevention Strategies for Depression and Anxiety in Remitted Adolescents and Young Adults.

OBJECTIVE: Depression and anxiety cause a high burden of disease and have high relapse rates (39%-72%). This meta-analysis systematically examined effectiveness of relapse prevention strategies on risk of and time to relapse in youth who remitted. METHOD: PubMed, PsycInfo, Embase, Cochrane, and ERIC databases were searched up to June 15, 2021. Eligible studies compared relapse prevention strategies to control conditions among youth (mean age 13-25 years) who were previously depressed or anxious or with ≥30% improvement in symptoms. Two reviewers independently assessed titles, abstracts, and full texts; extracted study data; and assessed risk of bias and overall strength of evidence. Random-effects models were used to pool results, and mixed-effects models were used for subgroup analyses. Main outcome was relapse rate at last follow-up (PROSPERO ID: CRD42020149326). RESULTS: Of 10 randomized controlled trials (RCTs) that examined depression, 9 were eligible for analysis: 4 included psychological interventions (n = 370), 3 included antidepressants (n = 80), and 2 included combinations (n = 132). No RCTs for anxiety were identified. Over 6 to 75 months, relapse was half as likely following psychological treatment compared with care as usual conditions (k = 6; odds ratio 0.56, 95% CI 0.31 to 1.00). Sensitivity analyses including only studies with ≥50 participants (k = 3), showed similar results. Over 6 to 12 months, relapse was less likely in youth receiving antidepressants compared with youth receiving pill placebo (k = 3; OR 0.29, 95% CI 0.10 to 0.82). Quality of studies was suboptimal. CONCLUSION: Relapse prevention strategies for youth depression reduce risk of relapse, although adequately powered, high-quality RCTs are needed. This finding, together with the lack of RCTs on anxiety, underscores the need to examine relapse prevention in youth facing these common mental health conditions.

Personalised app-based relapse prevention of depressive and anxiety disorders in remitted adolescents and young adults: a protocol of the StayFine RCT.

INTRODUCTION: Youth in remission of depression or anxiety have high risks of relapse. Relapse prevention interventions may prevent chronicity. Aim of the study is therefore to (1) examine efficacy of the personalised StayFine app for remitted youth and (2) identify high-risk groups for relapse and resilience. METHOD AND ANALYSIS: In this Dutch single-blind parallel-group randomised controlled trial, efficacy of app-based monitoring combined with guided app-based personalised StayFine intervention modules is assessed compared with monitoring only. In both conditions, care as usual is allowed. StayFine modules plus monitoring is hypothesised to be superior to monitoring only in preventing relapse over 36 months. Participants (N=254) are 13-21 years and in remission of depression or anxiety for >2 months. Randomisation (1:1) is stratified by previous treatment (no treatment vs treatment) and previous episodes (1, 2 or >3 episodes). Assessments include diagnostic interviews, online questionnaires and monitoring (ecological momentary assessment with optional wearable) after 0, 4, 12, 24 and 36 months. The StayFine modules are guided by certified experts by experience and based on preventive cognitive therapy and ingredients of cognitive behavioural therapy. Personalisation is based on shared decision-making informed by baseline assessments and individual symptom networks. Time to relapse (primary outcome) is assessed by the Kiddie Schedule for Affective Disorders and Schizophrenia-lifetime version diagnostic interview. Intention-to-treat survival analyses will be used to examine the data. Secondary outcomes are symptoms of depression and anxiety, number and duration of relapses, global functioning, and quality of life. Mediators and moderators will be explored. Exploratory endpoints are monitoring and wearable outcomes. ETHICS, FUNDING AND DISSEMINATION: The study was approved by METC Utrecht and is funded by the Netherlands Organisation for Health Research and Development (636310007). Results will be submitted to peer-reviewed scientific journals and presented at (inter)national conferences. TRIAL REGISTRATION NUMBER: NCT05551468; NL8237.

Effectiveness of an add-on guided internet-based emotion regulation training (E-TRAIN) in adolescents with depressive and/or anxiety disorders: study protocol for a multicenter randomized controlled trial.

BACKGROUND: During adolescence, depressive and anxiety disorders are among the most common mental health disorders. Both disorders tend to persist, are predictive for other mental disorders, and are associated with severe impairment in diverse areas. Although Cognitive Behavioral Therapy (CBT) has proven to be an effective treatment, a considerable number of adolescents do not respond to CBT and residual symptoms often remain. Therefore, it is of great importance to improve treatment outcomes for depressed and/or anxious adolescents. Dysfunctional emotion regulation appears to be a transdiagnostic factor in the development and maintenance of aforementioned disorders. Enhancing emotion regulation skills may therefore reduce symptom severity. In light of this, we developed a guided internet-based emotion regulation training (E-TRAIN) that will be added to CBT. This study aims to evaluate the effectiveness of E-TRAIN + CBT compared to CBT alone on depressive and anxiety outcomes among adolescents with depressive and/or anxiety disorder. METHODS: In this multicenter two-arm randomized controlled trial with parallel group design, we aim to include 138 adolescents, aged 13-19 years, referred for treatment and diagnosed with depressive and/or anxiety disorder. Participants will be allocated to either CBT or CBT + E-TRAIN. Assessments will take place at baseline, and at 3 (T1), 6 (T2) and 12 (T3) months after baseline. We will conduct multi-informant assessments: the adolescent, a parent/caregiver, and the CBT therapist will be asked to fill in questionnaires. The continuous primary outcome measure is self-reported depressive and anxiety symptoms at six months after baseline, measured with the RCADS25. Secondary outcome measures include anxiety or depression diagnosis based on a semi-structured clinical interview, emotion (dys) regulation, and parent-report measures of anxiety, depression and emotion (dys) regulation. DISCUSSION: This study is the first randomized controlled trial to examine the additional value of a guided internet-based emotion regulation training to regular CBT in adolescents with depressive and/or anxiety disorders. If this intervention is effective, it can be implemented in mental health care and improve treatment for these young people. TRIAL REGISTRATION: Registered on June 23, 2021 in The Netherlands Trial Register (NL9564). Retrospectively registered. Recruitment started in May 2021 and is ongoing.

[Alarming situation amongst mental health care employees; mental health issues with possible resignation as a consequence]. / Alarmerend beeld onder personeel ggz; uitputting, angst- en somberheidsklachten met mogelijk vertrek uit de ggz als gevolg: Wat kan de ggz doen?

While the COVID-19 pandemic integrates more and more into daily life and hospitalizations decrease, the consequence for mental health care personnel is becoming clearer. 50% of the employees in mental health care institutes experience stress and 30% have signs of depression. Simultaneously more patients present themselves at the mental health care institutes with complaints as a result of the COVID-19 pandemic. This increases workload even more while the waiting lists are already very long. To prevent sick leave and/or even resigning, social support in the working environment, prevention measures for mental complaints, and support have to be initiated by every level of the mental health care institutes.

Trajectories of Symptom Change in School-Based Prevention Programs for Adolescent Girls with Subclinical Depression.

Effectiveness research on depression prevention usually compares pre- to post-intervention outcomes across groups, but this aggregation across individuals may mask heterogeneity in symptom change trajectories. Hence, this study aimed to identify subgroups of adolescents with unique trajectories of change in a school-based depression prevention trial. It was also examined how trajectory membership was associated with the intervention conditions, depressive symptoms at 12-month follow-up, and baseline predictors. Hundred-ninety adolescent girls (Mage = 13.34; range = 11-16 years) with subclinical depression at screening (M = 57 days before pre-test) were allocated to four conditions: a face-to-face, group-based program (OVK), a computerized, individual program (SPARX), OVK and SPARX combined, and a monitoring control condition. Growth Mixture Modeling was used to identify the distinct trajectories during the intervention period using weekly depressive symptom assessments from pre-test to post-test. Analyses revealed three trajectories of change in the full sample: Moderate-Declining (62.1% of the sample), High-Persistent (31.1%), and Deteriorating-Declining (6.8%) trajectories. Trajectories were unrelated to the intervention conditions and the High-Persistent trajectory had worse outcomes at follow-up. Several baseline factors (depression severity, age, acceptance, rumination, catastrophizing, and self-efficacy) enabled discrimination between trajectories. It is concluded that information about likely trajectory membership may enable (school) clinicians to predict an individual's intervention response and timely adjust and tailor intervention strategies as needed.

Pragmatic Quasi-Experimental Controlled Trial Evaluating the Outcomes of Blended CBT Compared to Face-to-Face CBT and Treatment as Usual for Adolescents with Depressive Disorders.

Depression is a major problem in youth mental health. Current treatment is on average effective, but adolescents are hesitant to seek help. Blended treatment could lower the barriers to seeking treatment. Evidence on effectiveness is, however, scarce. The present pragmatic quasi-experimental controlled trial aimed to compare the outcomes of blended cognitive behavioral therapy (CBT) to face-to-face CBT and treatment as usual. A total of 129 adolescents with clinical depression (82.2% female), aged 13-22 (M = 16.60, SD = 2.03) received blended CBT, face-to-face CBT or treatment as usual. Clinical diagnosis, depressive symptoms, and secondary outcomes were assessed at baseline, post-intervention, and six-months follow-up. Participants receiving blended CBT were, compared to participants receiving face-to-face CBT and treatment as usual, evenly likely to be in remission from their depressive disorder at post-intervention and at six-month follow-up. Depressive symptoms decreased significantly over time in all three conditions, and changes were not significantly different between conditions. Other secondary outcomes (suicide risk, internalizing and externalizing symptoms, severity of depression, and global functioning) did not differ between treatment conditions at post-intervention and six-month follow-up. Since there was no evidence for favorable outcomes for face-to-face therapies above blended CBT, blended CBT may also be an effective treatment format in clinical practice.

Effectiveness and moderators of individual cognitive behavioral therapy versus treatment as usual in clinically depressed adolescents: a randomized controlled trial.

We examined if manualized cognitive behavioral therapy (CBT) was more effective than Treatment As Usual (TAU) for clinically depressed adolescents within routine care. This multisite Randomized controlled trail included 88 clinically depressed adolescents (aged 12-21 years) randomly assigned to CBT or TAU. Multiple assessments (pre-, post treatment and six-month follow-up) were done using semi-structured interviews, questionnaires and ratings and multiple informants. The primary outcome was depressive or dysthymic disorder based on the KSADS. Completers, CBT (n = 19) and TAU (n = 26), showed a significant reduction of affective diagnoses at post treatment (76% versus 76%) and after six months (90% versus 79%). Intention-to-treat analyses on depressive symptoms showed that 41.6% within CBT and 31.8% within the TAU condition was below clinical cut-off at post treatment and after six-months, respectively 61.4% and 47.7%. No significant differences in self-reported depressive symptoms between CBT and TAU were found. No prediction or moderation effects were found for age, gender, child/parent educational level, suicidal criteria, comorbidity, and severity of depression. We conclude that CBT did not outperform TAU in clinical practice in the Netherlands. Both treatments were found to be suitable to treat clinically referred depressed adolescents. CBT needs further improvement to decrease symptom levels below the clinical cut-off at post treatment.

Internet and Computer-Based Cognitive Behavioral Therapy for Anxiety and Depression in Adolescents and Young Adults: Systematic Review and Meta-Analysis.

BACKGROUND: Anxiety and depressive disorders are prevalent in adolescents and young adults. However, most young people with mental health problems do not receive treatment. Computerized cognitive behavior therapy (cCBT) may provide an accessible alternative to face-to-face treatment, but the evidence base in young people is limited. OBJECTIVE: The objective was to perform an up-to-date comprehensive systematic review and meta-analysis of the effectiveness of cCBT in treating anxiety and depression in adolescents and young adults compared with active treatment and passive controls. We aimed to examine posttreatment and follow-up effects and explore the moderators of treatment effects. METHODS: We conducted systematic searches in the following six electronic databases: PubMed, EMBASE, PsycINFO, CINAHL, Web of Science, and Cochrane Central Register of Controlled Trials. We included randomized controlled trials comparing cCBT with any control group in adolescents or young adults (age 12-25 years) with anxiety or depressive symptoms. The quality of included studies was assessed using the Cochrane risk-of-bias tool for randomized trials, version 2.0. Overall quality of evidence for each outcome was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. Posttreatment means and SDs were compared between intervention and control groups, and pooled effect sizes (Hedges g) were calculated. Random-effects meta-analyses were conducted using Comprehensive Meta-Analysis software. Subgroup analyses and meta-regression analyses were conducted to explore whether age, guidance level, and adherence rate were associated with treatment outcome. RESULTS: The search identified 7670 papers, of which 24 studies met the inclusion criteria. Most included studies (22/24) had a high risk of bias owing to self-report measures and/or inappropriate handling of missing data. Compared with passive controls, cCBT yielded small to medium posttreatment pooled effect sizes regarding depressive symptoms (g=0.51, 95% CI 0.30-0.72, number needed to treat [NNT]=3.55) and anxiety symptoms (g=0.44, 95% CI 0.23-0.65, NNT=4.10). cCBT yielded effects similar to those of active treatment controls regarding anxiety symptoms (g=0.04, 95% CI -0.23 to 0.31). For depressive symptoms, the nonsignificant pooled effect size favored active treatment controls (g=-0.70, 95% CI -1.51 to 0.11, P=.09), but heterogeneity was very high (I2=90.63%). No moderators of treatment effects were identified. At long-term follow-up, cCBT yielded a small pooled effect size regarding depressive symptoms compared with passive controls (g=0.27, 95% CI 0.09-0.45, NNT=6.58). No other follow-up effects were found; however, power was limited owing to the small number of studies. CONCLUSIONS: cCBT is beneficial for reducing posttreatment anxiety and depressive symptoms in adolescents and young adults compared with passive controls. Compared with active treatment controls, cCBT yielded similar effects regarding anxiety symptoms. Regarding depressive symptoms, however, the results remain unclear. More high-quality research involving active controls and long-term follow-up assessments is needed in this population. TRIAL REGISTRATION: PROSPERO CRD42019119725; https://tinyurl.com/y5acfgd9.

Coping with stressful life events: Cognitive emotion regulation profiles and depressive symptoms in adolescents.

Cognitive strategies that adolescents use to cope with negative emotions might show distinct profiles of cognitive emotion regulation strategies, which could be differentially associated with depressive symptoms. In total, 411 Dutch adolescents who had experienced at least one stressful life event that required some coping strategy participated in this study, including 334 nonclinical and 77 clinically depressed adolescents (12-21 years). A person-centered approach with Latent Profile Analysis was used to identify underlying profiles of cognitive emotion regulation based on the adolescents' reports of their use of cognitive emotion regulation strategies when they were confronted with stressful life events. Nine different strategies, five adaptive and four maladaptive, were used as indicators. Four profiles with distinct features were found in the nonclinical sample, as well as in the combined sample of nonclinical and clinically depressed adolescents: Low Regulators, High Regulators, Maladaptive Regulators, and Adaptive Regulators. In both samples, the High Regulators profile was most commonly used, followed by the Adaptive, Maladaptive, and Low Regulators profile. Maladaptive Regulators endorsed higher levels of depressive symptoms relative to Low, High, and Adaptive Regulators. The findings underscore the utility of using a person-centered approach in order to identify patterns of cognitive emotion regulation deficits in psychopathology.

Is Digital Treatment the Holy Grail? Literature Review on Computerized and Blended Treatment for Depressive Disorders in Youth.

Computerized and blended treatments seem to be an attractive treatment for adolescents as an alternative to face-to-face treatment, but mental health professionals seem hesitant to use these treatment modalities. This review provides an overview of factors contributing to and withholding from using computerized or blended treatment in routine care. Three databases were searched with terms related to (1) adolescents, (2) depression, (3) computerized or blended, and (4) treatment. Of the 33 articles identified, 10 focused on unguided computerized treatments, six on guided, two on blended, two compared unguided, blended- and face-to-face treatment to no treatment, and eight studies on games. Further, two articles that were focused on an online monitoring tool and three on intervention characteristics or preferred modes of help-seeking. Evidence for effectiveness, adherence, drop-out, and forming therapeutic relations were suspected to be barriers, but are no reason to reject computerized or blended treatment. Improvement in mental health literacy and the possibility to tailor the intervention are facilitators. However, adolescents' intention to seek help, acceptability of computerized treatment, symptom severity, time spent by therapist, and other facilities are identified as barriers and they need to be taken into account when using computerized or blended interventions. Nevertheless, computerized and blended are promising treatments for depressed youth.

Effectiveness and Cost-Effectiveness of Blended Cognitive Behavioral Therapy in Clinically Depressed Adolescents: Protocol for a Pragmatic Quasi-Experimental Controlled Trial.

BACKGROUND: Cognitive behavioral therapy (CBT) is an effective intervention to treat depressive disorders in youth. However, 50% of adolescents still have depressive symptoms after treatment, and 57% drop out during treatment. Online CBT interventions have proven to be effective in reducing depressive symptoms and seem promising as a treatment for depressed adolescents. However, combining online programs with face-to-face sessions seems necessary to increase their effectiveness and monitor for suicide risk. OBJECTIVE: In this study, we examine the effectiveness and cost-effectiveness of a blended CBT treatment protocol, a mixture of online and face-to-face CBT, as a treatment for clinically depressed adolescents. METHODS: A pragmatic quasi-experimental controlled trial will be conducted to study the effectiveness of a blended CBT treatment protocol, in which blended CBT is compared with face-to-face CBT (n=44) and treatment as usual (n=44); the latter two were collected in a previous randomized controlled trial. The same inclusion and exclusion criteria will be used: adolescents aged between 12 and 21 years, with a clinical diagnosis of a depressive disorder, and referred to one of the participating mental health institutions. Assessments will be conducted at the same time points: before the start of the intervention, during the intervention (after 5 and 10 weeks), postintervention, and at 6- and 12-month follow-ups. RESULTS: The primary outcome is the presence of a depression diagnosis at 12-month follow-up. Several secondary outcomes will be measured, such as depressive symptoms, quality of life, and suicide risk. Costs and effects in both conditions will be compared to analyze cost-effectiveness. Further, moderating (age, gender, alcohol and drug use, parental depression, and other psychopathology) and mediating effects (negative automatic thoughts, cognitive emotion regulation, attributional style) will be analyzed. Also, treatment characteristics will be studied, such as characteristics of the therapists, treatment expectancy, and therapeutic alliance. Dropout rates and treatment characteristics will be measured to study the feasibility of blended CBT. CONCLUSIONS: This study will examine the effectiveness and cost-effectiveness of a blended CBT program in which depressed adolescents are treated in mental health care. Results of blended CBT will be compared with face-to-face CBT and treatment as usual, and implications for implementation will be reviewed. TRIAL REGISTRATION: Dutch Trial Register (NTR6759); http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=6759. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/13434 RR1-10.2196/12654.

Effectiveness of CBT for children and adolescents with depression: A systematic review and meta-regression analysis.

BACKGROUND: Cognitive-behavioral therapy (CBT) is first choice of treatment for depressive symptoms and disorders in adolescents, however improvements are necessary because overall efficacy is low. Insights on CBT components and contextual and structural characteristics might increase the efficacy. The aim of our approach is to evaluate the efficacy of CBT for youth with depression and investigate the influence of specific components, contextual and structural factors that could improve effects. METHODS: A systematic review of randomized controlled trials was conducted, searches were undertaken in CINAHL, CENTRAL, EMBASE, MEDLINE/PubMed and PsycINFO. Outcomes were meta-analyzed and confidence in results was assessed using the GRADE-method. Meta-regression was used to pinpoint components or other factors that were associated with an in- or decrease of effects of CBT. RESULTS: We included 31 trials with 4335 participants. Moderate-quality evidence was found for CBT reducing depressive symptoms at the end of treatment and at follow-up, and CBT as indicated prevention resulted in 63% less risk of being depressed at follow-up. CBT containing a combination of behavioral activation and challenging thoughts component (as part of cognitive restructuring) or the involvement of caregiver(s) in intervention were associated with better outcomes for youth on the long term. CONCLUSIONS: There is evidence that CBT is effective for youth with a (subclinical) depression. Our analyses show that effects might improve when CBT contains the components behavioral activation and challenging thoughts and also when the caregiver(s) are involved. However, the influential effects of these three moderators should be further tested in RCTs.

Correction: Adolescent Depression and Negative Life Events, the Mediating Role of Cognitive Emotion Regulation.

[This corrects the article DOI: 10.1371/journal.pone.0161062.].