Who benefits from indirect prevention and treatment of depression using an online intervention for insomnia? Results from an individual-participant data meta-analysis.

BACKGROUND: Major depressive disorder (MDD) is highly prevalent and burdensome for individuals and society. While there are psychological interventions able to prevent and treat MDD, uptake remains low. To overcome structural and attitudinal barriers, an indirect approach of using online insomnia interventions seems promising because insomnia is less stigmatized, predicts MDD onset, is often comorbid and can outlast MDD treatment. This individual-participant-data meta-analysis evaluated the potential of the online insomnia intervention GET.ON Recovery as an indirect treatment to reduce depressive symptom severity (DSS) and potential MDD onset across a range of participant characteristics. METHODS: Efficacy on depressive symptom outcomes was evaluated using multilevel regression models controlling for baseline severity. To identify potential effect moderators, clinical, sociodemographic, and work-related variables were investigated using univariable moderation and random-forest methodology before developing a multivariable decision tree. RESULTS: IPD were obtained from four of seven eligible studies (N = 561); concentrating on workers with high work-stress. DSS was significantly lower in the intervention group both at post-assessment (d = -0.71 [95% CI-0.92 to -0.51]) and at follow-up (d = -0.84 [95% CI -1.11 to -0.57]). In the subsample (n = 121) without potential MDD at baseline, there were no significant group differences in onset of potential MDD. Moderation analyses revealed that effects on DSS differed significantly across baseline severity groups with effect sizes between d = -0.48 and -0.87 (post) and d = - 0.66 to -0.99 (follow-up), while no other sociodemographic, clinical, or work-related characteristics were significant moderators. CONCLUSIONS: An online insomnia intervention is a promising approach to effectively reduce DSS in a preventive and treatment setting.

Transdiagnostic treatment of depression and anxiety: a meta-analysis.

BACKGROUND: In the past 10 years an increasing number of randomised trials have examined the effects of transdiagnostic treatments of patients with depression or anxiety. We conducted the first comprehensive meta-analysis of the outcomes of this emerging field. METHODS: We used the searches in PubMed, PsychINFO, Embase and the Cochrane library of an existing database of randomised trials of psychological interventions for depression to identify studies comparing a transdiagnostic treatment of patients with depression or anxiety with a control group (deadline 1 January 2022). We conducted random-effects meta-analyses and examined the effects on depression and anxiety at the short and longer term. RESULTS: We included 45 randomised controlled trials with 51 comparisons between a psychotherapy and a control group and 5530 participants. Thirty-five (78%) studies were conducted in the last 10 years. The overall effect size was g = 0.54 (95% CI 0.40-0.69; NNT = 5.87), with high heterogeneity (I2 = 78; 95% CI 71-83), and a broad PI (-0.31-1.39). The effects remained significant in a series of sensitivity analyses, including exclusion of outliers, adjustment for publication bias, for studies with low risk of bias, and in multilevel analyses. The results were comparable for depression and anxiety separately. At 6 months after randomisation the main effects were still significant, but not at 12 months, although the number of studies was small. CONCLUSIONS: Transdiagnostic treatments of patients with depression or anxiety are increasingly examined and are probably effective at the short term.

Internet-Based Treatment of Body Dysmorphic Disorder: Feasibility, Evaluation, and Self-Report Data.

ABSTRACT: Initial findings indicate the effectiveness of internet-based interventions for body dysmorphic disorder (BDD). In order to substantiate these findings, a seven-module guided internet-based intervention was created and examined. We report the mixed data of participants with clinical and subclinical BDD of the treatment group (n = 18). We investigated the feasibility, the quality of the program content, the design and usability, and its effects on symptom severity and related psychopathology. Adherence to the intervention was low and dropout rate high (55.6%). The program content, perceived website usability, and visual aesthetic were rated high. Credibility and expectancy were on a medium level. Satisfaction with appearance improved significantly in the intention-to-treat analysis (d = 0.58). In sum, symptom-related outcomes and program evaluation showed a positive trend albeit the study conduction was difficult. Future programs should investigate the role of additional motivation strategies and more flexible support addressing the known treatment barriers.

Psychological treatment of depression with other comorbid mental disorders: systematic review and meta-analysis.

Most people with a mental disorder meet criteria for multiple disorders. We conducted a systematic review and meta-analysis of randomized trials comparing psychotherapies for people with depression and comorbid other mental disorders with non-active control conditions. We identified studies through an existing database of randomized trials on psychotherapies for depression. Thirty-five trials (3,157 patients) met inclusion criteria. Twenty-seven of the 41 interventions in the 35 trials (66%) were based on CBT. The overall effect on depression was large (g = 0.65; 95% CI: 0.40 ~ 0.90), with high heterogeneity (I2 = 78%; 95% CI: 70 ~ 83). The ten studies in comorbid anxiety showed large effects on depression (g = 0.90; 95% CI: 0.30 ~ 1.51) and anxiety (g = 1.01; 95% CI: 0.28 ~ 1.74). For comorbid insomnia (11 comparisons) a large and significant effect on depression (g = 0.99; 95% CI: 0.16 ~ 1.82) and insomnia (g = 1.38; 95% CI: 0.38 ~ 2.38) were found. For comorbid substance use problems (12 comparisons) effects on depression (g = 0.25; 95% CI: 0.06 ~ 0.43) and on substance use problems (g = 0.25; 95% CI: 0.01 ~ 0.50) were significant. Most effects were no longer significant after adjustment for publication bias and when limited to studies with low risk of bias. Therapies are probably effective in the treatment of depression with comorbid anxiety, insomnia, and substance use problems.

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/.

Psychological interventions as an alternative and add-on to antidepressant medication to prevent depressive relapse: systematic review and meta-analysis.

BACKGROUND: After remission, antidepressants are often taken long term to prevent depressive relapse or recurrence. Whether psychological interventions can be a viable alternative or addition to antidepressants remains unclear. AIMS: To compare the effectiveness of psychological interventions as an alternative (including delivered when tapering antidepressants) or addition to antidepressants alone for preventing depressive relapse. METHOD: Embase, PubMed, the Cochrane Library and PsycINFO were searched from inception until 13 October 2019. Randomised controlled trials (RCTs) with previously depressed patients in (partial) remission where preventive psychological interventions with or without antidepressants (including tapering) were compared with antidepressant control were included. Data were extracted independently from published trials. A random-effects meta-analysis on time to relapse (hazard ratio, HR) and risk of relapse (risk ratio, RR) at the last point of follow-up was conducted. PROSPERO ID: CRD42017055301. RESULTS: Among 11 included trials (n = 1559), we did not observe an increased risk of relapse for participants receiving a psychological intervention while tapering antidepressants versus antidepressants alone (RR = 1.02, 95% CI 0.84-1.25; P = 0.85). Psychological interventions added to antidepressants significantly reduced the risk of relapse (RR = 0.85, 95% CI 0.74-0.97; P = 0.01) compared with antidepressants alone. CONCLUSIONS: This study found no evidence to suggest that adding a psychological intervention to tapering increases the risk of relapse when compared with antidepressants alone. Adding a psychological intervention to antidepressant use reduces relapse risk significantly versus antidepressants alone. As neither strategy is routinely implemented these findings are relevant for patients, clinicians and guideline developers.

Efficacy and Moderators of Internet-Based Interventions in Adults with Subthreshold Depression: An Individual Participant Data Meta-Analysis of Randomized Controlled Trials.

INTRODUCTION: Evidence on effects of Internet-based interventions to treat subthreshold depression (sD) and prevent the onset of major depression (MDD) is inconsistent. OBJECTIVE: We conducted an individual participant data meta-analysis to determine differences between intervention and control groups (IG, CG) in depressive symptom severity (DSS), treatment response, close to symptom-free status, symptom deterioration and MDD onset as well as moderators of intervention outcomes. METHODS: Randomized controlled trials were identified through systematic searches via PubMed, PsycINFO, Embase and Cochrane Library. Multilevel regression analyses were used to examine efficacy and moderators. RESULTS: Seven trials (2,186 participants) were included. The IG was superior in DSS at all measurement points (posttreatment: 6-12 weeks; Hedges' g = 0.39 [95% CI: 0.25-0.53]; follow-up 1: 3-6 months; g = 0.30 [95% CI: 0.15-0.45]; follow-up 2: 12 months, g = 0.27 [95% CI: 0.07-0.47], compared with the CG. Significantly more participants in the IG than in the CG reached response and close to symptom-free status at all measurement points. A significant difference in symptom deterioration between the groups was found at the posttreatment assessment and follow-up 2. Incidence rates for MDD onset within 12 months were lower in the IG (19%) than in the CG (26%). Higher initial DSS and older age were identified as moderators of intervention effect on DSS. CONCLUSIONS: Our findings provide evidence for Internet-based interventions to be a suitable low-threshold intervention to treat individuals with sD and to reduce the incidence of MDD. This might be particularly true for older people with a substantial symptom burden.

Prevention of eating disorders at universities: A systematic review and meta-analysis.

BACKGROUND: Eating problems are highly prevalent among young adults. Universities could be an optimal setting to prevent the onset of eating disorders through psychological intervention. As part of the World Mental Health-International College Student initiative, this systematic review and meta-analysis synthesizes data on the efficacy of eating disorder prevention programs targeting university students. METHOD: A systematic literature search of bibliographical databases (CENTRAL, MEDLINE, PsycINFO) for randomized trials comparing psychological preventive interventions for eating disorders targeting university students with psychoeducation or inactive controls was performed on October 22, 2019. RESULTS: Twenty-seven studies were included. Thirteen (48.1%) were rated to have a low risk of bias. The relative risk of developing a subthreshold or full-blown eating disorder was incidence rate ratio = 0.62 (95% CI [0.44, 0.87], n c = 8, numbers-needed-to-treat [NNT] = 26.08; standardized clinical interviews only), indicating a 38% decrease in incidence in the intervention groups compared to controls. Small to moderate between-group effects at posttest were found on eating disorder symptoms (g = 0.35, 95% CI [0.24, 0.46], NNT = 5.10, n c = 26), dieting (g = 0.43, 95% CI [0.29, 0.57], NNT = 4.17, n c = 21), body dissatisfaction (g = 0.40, 95% CI [0.27, 0.53], NNT = 4.48, n c = 25), drive for thinness (g = 0.43, 95% CI [0.27, 0.59], NNT = 4.23, n c = 12), weight concerns (g = 0.33, 95% CI [0.10, 0.57], NNT = 5.35, n c = 13), and affective symptoms (g = 0.27, 95% CI [0.15, 0.38], NNT = 6.70, n c = 18). The effects on bulimia nervosa symptoms were not significant. Heterogeneity was moderate across comparisons. DISCUSSION: Eating disorder prevention on campus can have significant, small-to-moderate effects on eating disorder symptoms and risk factors. Results also suggest that the prevention of subthreshold and full-syndrome eating disorders is feasible using such interventions. More research is needed to identify ways to motivate students to use preventive eating disorder interventions. ANTECEDENTES: Los trastornos de la conducta alimentaria son altamente prevalentes entre los adultos jóvenes. Las universidades podrían ser un entorno óptimo para prevenir la aparición de trastornos alimentarios a través de la intervención psicológica. Como parte de la iniciativa World Mental Health-International College Student, esta revisión sistemática y meta-análisis sintetiza datos sobre la eficacia de los programas de prevención de trastornos alimentarios dirigidos a estudiantes universitarios. MÉTODO: Una búsqueda bibliográfica sistemática de datos bibliográficas (CENTRAL, MEDLINE, PsycINFO) para ensayos aleatorios que comparaban intervenciones preventivas psicológicas para trastornos alimentarios dirigidos a estudiantes universitarios con psicoeducación o controles inactivos fue realizada hasta el 22 de octubre de 2019. RESULTADOS: Se incluyeron 27 estudios. Trece (48,1%) fueron calificados como de bajo riesgo de sesgo. El riesgo relativo de desarrollar un trastorno de la conducta alimentaria subclínico (parcial) o completo fue IRR = 0.62 (95% CI [0.44, 0.87], nc = 8, NNT = 26.08; sólo entrevistas clínicas estandarizadas), lo que indica una disminución del 38% en la incidencia en los grupos de intervención en comparación con los controles. Se encontraron efectos pequeños a moderados entre los grupos en la post-prueba en los síntomas del trastorno alimentario (g = 0.35, 95% CI [0.24, 0.46], NNT = 5.10, nc = 26), dieta (g = 0.43, 95% CI [0.29, 0.57], NNT = 4.17, nc = 21), insatisfacción corporal (g = 0.40, 95% CI [0.27, 0.53], NNT = 4.48, nc = 25), impulso por delgadez (g = 0.43, 95% CI [0.27, 0.59], NNT = 4.23, nc = 12), problemas de peso (g = 0.33, 95% CI [0.10, 0.57], NNT = 5.35, nc = 13) y síntomas afectivos (g = 0.27, 95% CI [0.15, 0.38], NNT = 6.70, nc = 18). Los efectos sobre los síntomas de la bulimia nervosa no fueron significativos. La heterogeneidad fue moderada en las comparaciones. DISCUSIÓN: La prevención de los trastornos de la conducta alimentaria en el campus universitario puede tener efectos significativos, de pequeños a moderados, sobre los síntomas del trastorno alimentario y los factores de riesgo. Los resultados también sugieren que la prevención de los trastornos alimentarios subclínicos o parciales y síndromes completos es factible utilizando tales intervenciones. Se necesita más investigación para identificar formas de motivar a los estudiantes a usar intervenciones preventivas para los trastornos de la conducta alimentaria.

Digital Interventions for Mental Disorders: Key Features, Efficacy, and Potential for Artificial Intelligence Applications.

Mental disorders are highly prevalent and often remain untreated. Many limitations of conventional face-to-face psychological interventions could potentially be overcome through Internet-based and mobile-based interventions (IMIs). This chapter introduces core features of IMIs, describes areas of application, presents evidence on the efficacy of IMIs as well as potential effect mechanisms, and delineates how Artificial Intelligence combined with IMIs may improve current practices in the prevention and treatment of mental disorders in adults. Meta-analyses of randomized controlled trials clearly show that therapist-guided IMIs can be highly effective for a broad range of mental health problems. Whether the effects of unguided IMIs are also clinically relevant, particularly under routine care conditions, is less clear. First studies on IMIs for the prevention of mental disorders have shown promising results. Despite limitations and challenges, IMIs are increasingly implemented into routine care worldwide. IMIs are also well suited for applications of Artificial Intelligence and Machine Learning, which provides ample opportunities to improve the identification and treatment of mental disorders. Together with methodological innovations, these approaches may also deepen our understanding of how psychological interventions work, and why. Ethical and professional restraints as well as potential contraindications of IMIs, however, should also be considered. In sum, IMIs have a high potential for improving the prevention and treatment of mental health disorders across various indications, settings, and populations. Therefore, implementing IMIs into routine care as both adjunct and alternative to face-to-face treatment is highly desirable. Technological advancements may further enhance the variability and flexibility of IMIs, and thus even further increase their impact in people's lives in the future.

Effectiveness of an Internet- and App-Based Intervention for College Students With Elevated Stress: Randomized Controlled Trial.

BACKGROUND: Mental health problems are highly prevalent among college students. Most students with poor mental health, however, do not receive professional help. Internet-based self-help formats may increase the utilization of treatment. OBJECTIVE: The aim of this randomized controlled trial was to evaluate the efficacy of an internet-based, app-supported stress management intervention for college students. METHODS: College students (n=150) with elevated levels of stress (Perceived Stress Scale 4-item version, PSS-4 ≥8) were randomly assigned to either an internet- and mobile-based stress intervention group with feedback on demand or a waitlist control group. Self-report data were assessed at baseline, posttreatment (7 weeks), and 3-month follow-up. The primary outcome was perceived stress posttreatment (PSS-4). Secondary outcomes included mental health outcomes, modifiable risk and protective factors, and college-related outcomes. Subgroup analyses were conducted in students with clinically relevant symptoms of depression (Center for Epidemiological Studies' Depression Scale >17). RESULTS: A total of 106 participants (76.8%) indicated that they were first-time help-seekers, and 77.3% (intervention group: 58/75; waitlist control group: 58/75) showed clinically relevant depressive symptoms at baseline. Findings indicated significant effects of the intervention compared with the waitlist control group for stress (d=0.69; 95% CI 0.36-1.02), anxiety (d=0.76; 95% CI 0.43-1.09), depression (d=0.63; 95% CI 0.30-0.96), college-related productivity (d=0.33; 95% CI 0.01-0.65), academic work impairment (d=0.34; 95% CI 0.01-0.66), and other outcomes after 7 weeks (posttreatment). Response rates for stress symptoms were significantly higher for the intervention group (69%, 52/75) compared with the waitlist control group (35%, 26/75, P<.001; number needed to treat=2.89, 95% CI 2.01-5.08) at posttest (7 weeks). Effects were sustained at 3-month follow-up, and similar findings emerged in students with symptoms of depression. CONCLUSIONS: Internet- and mobile-based interventions could be an effective and cost-effective approach to reduce consequences of college-related stress and might potentially attract students with clinically relevant depression who would not otherwise seek help. TRIAL REGISTRATION: German Clinical Trial Register DRKS00010212; http://www.drks.de/drks_web/navigate.do? navigationId=trial.HTML&TRIAL_ID=DRKS00010212 (Archived by WebCite at http://www.webcitation.org/6w55Ewhjd).

Non-directive supportive therapy for depression: A meta-analytic review.

BACKGROUND: Non-directive supportive therapy (NDST) is an important treatment of adult depression, but no recent meta-analysis has integrated the randomized trials examining its effects. METHODS: We conducted a meta-analysis comparing NDST to control conditions and to other therapies, by using an existing database of randomized trials of psychological treatments of depression in adults. This database was built through searches in PubMed, PsycINFO, Embase and the Cochrane Library. RESULTS: 48 randomized controlled trials (5075 participants), with 20 comparisons between NDST and a control group and 49 comparisons between NDST and another psychotherapy were included. Random effects meta-analyses found an effect size of NDST compared with control conditions of g = 0.53 (95 % CI, 0.34; 0.72) with moderate heterogeneity (I2 = 51; 95 % CI: 18; 71; PI = -0.02 to 1.09). NDST was less effective than other therapies (g = -0.21; 95 % CI: -0.31; -0.11). The difference with other therapies was significantly larger in studies in which NDST was used as a control group (p = .003). There was no significant difference between NDST and other therapies in which NDST was not used as a control group (k = 14; g = -0.05; 95 % CI: -0.17; 0.07). CONCLUSIONS: NDST probably is an effective treatment of depression. The effects may be somewhat smaller than those of other therapies, but that may also be an artefact, because NDST is often used as a control group and may be designed as an "intent-to-fail" intervention in some studies.

Internet- and mobile-based psychological interventions for post-traumatic stress symptoms in youth: a systematic review and meta-analysis.

Psychological interventions can help reduce posttraumatic stress symptoms (PTSS) in youth, but many do not seek help. Internet- and mobile-based interventions (IMIs) show promise in expanding treatment options. However, the overall evidence on IMIs in reducing PTSS among youth remains unclear. This systematic review and meta-analysis investigated the efficacy of IMIs in PTSS reduction for youth exposed to traumatic events. A comprehensive literature search was conducted in January 2023 including non-randomized and randomized-controlled trials (RCT) investigating the effects of IMIs on PTSS in youth aged ≤25 years. Six studies were identified with five providing data for the meta-analysis. The majority of studies included youth with different types of trauma irrespective of PTSS severity at baseline (k = 5). We found a small within-group effect in reducing PTSS from baseline to post-treatment (g = -0.39, 95% CrI: -0.67 to -0.11, k = 5; n = 558; 9 comparisons). No effect emerged when comparing the effect of IMIs to control conditions (g = 0.04; 95%-CrI: -0.52 to 0.6, k = 3; n = 768; k = 3; 4 comparisons). Heterogeneity was low between and within studies. All studies showed at least some concerns in terms of risk of bias. Current evidence does not conclusively support the overall efficacy of IMIs in addressing youth PTSS. This review revealed a scarcity of studies investigating IMIs for youth exposed to traumatic events, with most being feasibility studies rather than adequately powered RCTs and lacking a trauma focus. This underscores the demand for more high-quality research.

The outcomes of mental health care for depression over time: A meta-regression analysis of response rates in usual care.

BACKGROUND: Over the past decades dozens of randomized trials have shown that psychological treatments are more effective than care-as-usual (CAU). It could be expected that these treatments are implemented in routine care and that the response rates in usual care improve over time. The aim of the current meta-analysis is to examine if response and remission rates in usual care have improved over time. METHODS: We used an existing meta-analytic database of randomized controlled trials examining the effects of psychological treatments of depression and selected CAU control groups from these trials. We only included CAU conditions in primary care, specialized mental health care, perinatal care and general medical care. The response rate (50 % symptom reduction) was the primary outcome. RESULTS: We included 125 CAU control groups (8542 participants). The response rate for all CAU control groups was 0.22 (95 % CI: 0.19; 0.24) with high heterogeneity (I2 = 83; 95 % CI: 80; 85), with somewhat higher rates in primary care (0.27; 95 % CI: 0.23; 0.31). We found hardly any indications that the outcomes have improved over the years. The meta-regression analysis with publication year as predictor in the full dataset resulted in a coefficient of 0.1 (SE = 0.01; p = 0.0.35). A series of sensitivity analyses supported the main findings. Remission rates and pre-post effect sizes also did not significantly improve over time. CONCLUSIONS: Response and remission rates in usual care are low, with the large majority of patients not responding or remitting, and the outcomes have probably not improved over time.

Predicting effects of a digital stress intervention for patients with depressive symptoms: Development and validation of meta-analytic prognostic models using individual participant data.

OBJECTIVE: Digital stress interventions could be helpful as an "indirect" treatment for depression, but it remains unclear for whom this is a viable option. In this study, we developed models predicting individualized benefits of a digital stress intervention on depressive symptoms at 6-month follow-up. METHOD: Data of N = 1,525 patients with depressive symptoms (Center for Epidemiological Studies' Depression Scale, CES-D ≥ 16) from k = 6 randomized trials (digital stress intervention vs. waitlist) were collected. Prognostic models were developed using multilevel least absolute shrinkage and selection operator and boosting algorithms, and were validated using bootstrap bias correction and internal-external cross-validation. Subsequently, expected effects among those with and without a treatment recommendation were estimated based on clinically derived treatment assignment cut points. RESULTS: Performances ranged from R² = 21.0%-23.4%, decreasing only slightly after model optimism correction (R² = 17.0%-19.6%). Predictions were greatly improved by including an interim assessment of depressive symptoms (optimism-corrected R2 = 32.6%-35.6%). Using a minimally important difference of d = -0.24 as assignment cut point, approximately 84.6%-93.3% of patients are helped by this type of intervention, while the remaining 6.7%-15.4% would experience clinically negligible benefits (δ^ = -0.02 to -0.19). Using reliable change as cut point, a smaller subset (39.3%-46.2%) with substantial expected benefits (δ^ = -0.68) receives a treatment recommendation. CONCLUSIONS: Meta-analytic prognostic models applied to individual participant data can be used to predict differential benefits of a digital stress intervention as an indirect treatment for depression. While most patients seem to benefit, the developed models could be helpful as a screening tool to identify those for whom a more intensive depression treatment is needed. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Additive effects of adjunctive app-based interventions for mental disorders - A systematic review and meta-analysis of randomised controlled trials.

Background: It is uncertain whether app-based interventions add value to existing mental health care. Objective: To examine the incremental effects of app-based interventions when used as adjunct to mental health interventions. Methods: We searched PubMed, PsycINFO, Scopus, Web of Science, and Cochrane Library databases on September 15th, 2023, for randomised controlled trials (RCTs) on mental health interventions with an adjunct app-based intervention compared to the same intervention-only arm for adults with mental disorders or respective clinically relevant symptomatology. We conducted meta-analyses on symptoms of different mental disorders at postintervention. PROSPERO, CRD42018098545. Results: We identified 46 RCTs (4869 participants). Thirty-two adjunctive app-based interventions passively or actively monitored symptoms and behaviour, and in 13 interventions, the monitored data were sent to a therapist. We found additive effects on symptoms of depression (g = 0.17; 95 % CI 0.02 to 0.33; k = 7 comparisons), anxiety (g = 0.80; 95 % CI 0.06 to 1.54; k = 3), mania (g = 0.2; 95 % CI 0.02 to 0.38; k = 4), smoking cessation (g = 0.43; 95 % CI 0.29 to 0.58; k = 10), and alcohol use (g = 0.23; 95 % CI 0.08 to 0.39; k = 7). No significant effects were found on symptoms of depression within a bipolar disorder (g = -0.07; 95 % CI -0.37 to 0.23, k = 4) and eating disorders (g = -0.02; 95 % CI -0.44 to 0.4, k = 3). Studies on depression, mania, smoking, and alcohol use had a low heterogeneity between the trials. For other mental disorders, only single studies were identified. Only ten studies had a low risk of bias, and 25 studies reported insufficient statistical power. Discussion: App-based interventions may be used to enhance mental health interventions to further reduce symptoms of depression, anxiety, mania, smoking, and alcohol use. However, the effects were small, except for anxiety, and limited due to study quality. Further high-quality research with larger sample sizes is warranted to better understand how app-based interventions can be most effectively combined with established interventions to improve outcomes.

The efficacy of psychotherapy for social anxiety disorder, a systematic review and meta-analysis.

BACKGROUND: Given the growth in research examining the effects of psychotherapy on social anxiety disorder (SAD), an up-to-date comprehensive meta-analysis in this field is needed. METHODS: We selected studies from a database of randomized trials (RCTs) on psychotherapies for anxiety disorders (last updated search of PubMed, PsycINFO, Embase, and Cochrane (CENTRAL): 1 January 2024) We included RCTs comparing psychotherapy to a control condition for adults with SAD and conducted random effects meta-analyses to examine the efficacy of psychotherapy compared to control conditions at post-treatment. RESULTS: Sixty-six RCTs were included with 5560 participants and 98 comparisons between psychotherapy and control groups. Psychotherapy was effective in reducing SAD symptoms, with a large effect size (g = 0.88; 95 % CI: 0.76 to 1.0; I2 = 74 %; 95 % CI: 69 to 79, NNT = 3.8). Effects remained robust across sensitivity analyses. However, there was evidence for significant risk of bias in the included trials. The multivariable meta-regression indicated significant differences in treatment delivery formats, type of recruitment strategy, target group, and number of sessions. CONCLUSION: Psychotherapy is an effective treatment for SAD, with moderate to large effect sizes across all treatment types and formats. Future research is needed to determine the long-term effects.

Assessment of suicidality in trials of psychological interventions for depression: a meta-analysis.

BACKGROUND: Psychological interventions that are efficacious as treatments for depression could indirectly affect suicide-related outcomes. We examined suicidal thoughts and behaviours as eligibility criteria, outcomes, and adverse events across trials of psychotherapy for depression. METHODS: We used a publicly available meta-analytic database developed through systematic searches (updated as of May 1, 2023) to identify randomised controlled trials in which a psychological intervention for depression was compared with an inactive or non-specific control condition in adults with depression and in which any suicide-related outcomes were reported. We also identified studies in which suicide risk was an exclusion criterion. We excluded inpatient studies and trials of unguided digital interventions or collaborative care that included a psychological component. Pairs of reviewers worked independently to select studies and extract data. In a random-effects meta-analysis with robust variance estimation, we assessed the effect of the psychological intervention on suicide outcomes in trials in which suicide was explicitly assessed as an outcome with clinical scales with established psychometric properties. Risk of bias was assessed with the Cochrane risk-of-bias tool (version 2). FINDINGS: Of the 469 randomised trials we identified in which a psychological intervention was compared with an inactive control in people with depression, 251 excluded people judged at risk of suicide. Any assessment of suicide was included in only 45 trials, 12 of which assessed suicidal ideation or risk as an outcome. These 12 trials included 3930 participants, 2795 (71%) of whom were female and 1135 (29%) of whom were male; data for age and ethnicity were not consistently reported. Psychological interventions for depression were associated with a small reduction in suicidal ideation and risk in 11 trials (one trial reported only follow-up data) after the intervention (standardised mean difference -0·31 [95% CI -0·60 to -0·03]) but not at follow-up (-0·49 [-1·31 to 0·32]). Suicide-related adverse events were reported in 25 trials, and suicide-related serious adverse events (eg, suicide attempts, deaths by suicide) were reported in 13 trials. Heterogeneity was substantial across all analyses, and prediction intervals crossed zero. INTERPRETATION: Trials of psychological interventions for depression rarely report assessments of suicide. Psychological interventions might reduce suicidal ideation in patients with depression, but more randomised controlled trials are required to clarify this effect. Monitoring and reporting of suicide-related adverse events should be improved in trials of psychological interventions for depression, and future trials should incorporate outcomes related to suicidal thoughts or behaviours. FUNDING: None. TRANSLATION: For the Spanish translation of the abstract see Supplementary Materials section.

Are web-based stress management interventions effective as an indirect treatment for depression? An individual participant data meta-analysis of six randomised trials.

QUESTION: Depression is highly prevalent and associated with numerous adverse consequences for both individuals and society. Due to low uptake of direct treatment, interventions that target related, but less stigmatising problems, such as perceived stress, have emerged as a new research paradigm.This individual participant data (IPD) meta-analysis examines if a web-based stress management intervention can be used as an 'indirect' treatment of depression. STUDY SELECTION AND ANALYSIS: Bayesian one-stage models were used to estimate pooled effects on depressive symptom severity, minimally important improvement and reliable deterioration. The dose-response relationship was examined using multilevel additive models, and IPD network meta-analysis was employed to estimate the effect of guidance. FINDINGS: In total, N=1235 patients suffering from clinical-level depression from K=6 randomised trials were included. Moderate-to-large effects were found on depressive symptom severity at 7 weeks post-intervention (d=-0.65; 95% credibility interval (CrI): -0.84 to -0.48) as measured with the Center for Epidemiological Studies' Depression Scale. Effects were sustained at 3-month follow-up (d=-0.74; 95% CrI: -1.01 to -0.48). Post-intervention symptom severity was linearly related to the number of completed sessions. The incremental impact of guidance was estimated at d=-0.25 (95% CrI: -1.30 to 0.82), with a 35% posterior probability that guided and unguided formats produce equivalent effects. CONCLUSIONS: Our results indicate that web-based stress management can serve as an indirect treatment, yielding effects comparable with direct interventions for depression. Further research is needed to determine if such formats can indeed increase the utilisation of evidence-based treatment, and to corroborate the favourable effects for human guidance. STUDY REGISTRATION: Open material repository: osf.io/dbjc8, osf.io/3qtbe. TRIAL REGISTRATION NUMBER: German Clinical Trial Registration (DRKS): DRKS00004749, DRKS00005112, DRKS00005384, DRKS00005687, DRKS00005699, DRKS00005990.

Psychotherapies for Generalized Anxiety Disorder in Adults: A Systematic Review and Network Meta-Analysis of Randomized Clinical Trials.

Importance: Generalized anxiety disorder (GAD) is one of the most common mental disorders in adults. Psychotherapies are among the most recommended treatments for GAD, but which should be considered as first-line treatment needs to be clarified. Objective: To use a network meta-analysis to examine the short- and long-term associations of different psychotherapies with outcomes of effectiveness and acceptability in adults with GAD. Data Sources: MEDLINE, Embase, PsycINFO, and the Cochrane Register of Controlled Trials were searched from database inception to January 1, 2023, to identify randomized clinical trials (RCTs) of psychotherapies for adults with GAD. Study Selection: RCTs comparing any type of psychotherapy against another or with a control condition for the treatment of adults (≥18 years, both sexes) with a primary diagnosis of GAD were eligible for inclusion. Data Extraction and Synthesis: This study followed Cochrane standards for extracting data and assessing data quality and used the PRISMA guideline for reporting. Risk of bias of individual studies was assessed using the second version of the Cochrane risk of bias tool, and the Confidence in Network Meta-Analysis was used to rate the certainty of evidence for meta-analytical results. Main Outcomes and Measures: Eight psychotherapies were compared against one another and with 2 control conditions. Primary outcomes were severity of GAD symptoms and acceptability of the psychotherapies. Random-effects model pairwise and network meta-analyses were conducted. For effectiveness, standardized mean differences (SMDs) were pooled, and for acceptability, relative risks with 95% CIs were calculated. Results: Data from 65 RCTs were included. Effect size estimates on data from 5048 participants (mean [SD], 70.9% [11.9%] women; mean [SD] age, 42.2 [12.5] years) suggested that third-wave cognitive behavior therapies (CBTs) (SMD, -0.76 [95% CI, -1.15 to -0.36]; certainty, moderate), CBT (SMD, -0.74 [95% CI, -1.09 to -0.38]; certainty, moderate), and relaxation therapy (SMD, -0.59 [95% CI, -1.07 to -0.11]; certainty, low) were associated with reduced GAD symptoms vs treatment as usual. Relative risks for all-cause discontinuation (indication of acceptability) signaled no differences compared with treatment as usual for all psychotherapies (eg, relative risk, 1.04 [95% CI, 0.64-1.67] for CBT vs treatment as usual). When excluding studies at high risk of bias, relaxation therapy lost its superiority over treatment as usual (SMD, -0.47; 95% CI, -1.18 to 0.23). When considering anxiety severity at 3 to 12 months after completion of the intervention, only CBT remained significantly associated with greater effectiveness than treatment as usual (SMD, -0.60; 95% CI, -0.99 to -0.21). Conclusions and Relevance: Given the evidence in this systematic review and network meta-analysis for its associations with both acute and long-term effectiveness, CBT may represent the first-line therapy of GAD. Third-wave CBTs and relaxation therapy were associated with short-term effectiveness and may also be offered.

Absolute and relative outcomes of psychotherapies for eight mental disorders: a systematic review and meta-analysis.

Psychotherapies are first-line treatments for most mental disorders, but their absolute outcomes (i.e., response and remission rates) are not well studied, despite the relevance of such information for health care users, providers and policy makers. We aimed to examine absolute and relative outcomes of psychotherapies across eight mental disorders: major depressive disorder (MDD), social anxiety disorder, panic disorder, generalized anxiety disorder (GAD), specific phobia, post-traumatic stress disorder (PTSD), obsessive-compulsive disorder (OCD), and borderline personality disorder (BPD). We used a series of living systematic reviews included in the Metapsy initiative (www.metapsy.org), with a common strategy for literature search, inclusion of studies and extraction of data, and a common format for the analyses. Literature search was conducted in major bibliographical databases (PubMed, PsycINFO, Embase, and the Cochrane Register of Controlled Trials) up to January 1, 2023. We included randomized controlled trials comparing psychotherapies for any of the eight mental disorders, established by a diagnostic interview, with a control group (waitlist, care-as-usual, or pill placebo). We conducted random-effects model pairwise meta-analyses. The main outcome was the absolute rate of response (at least 50% symptom reduction between baseline and post-test) in the treatment and control conditions. Secondary outcomes included the relative risk (RR) of response, and the number needed to treat (NNT). Random-effects meta-analyses of the included 441 trials (33,881 patients) indicated modest response rates for psychotherapies: 0.42 (95% CI: 0.39-0.45) for MDD; 0.38 (95% CI: 0.33-0.43) for PTSD; 0.38 (95% CI: 0.30-0.47) for OCD; 0.38 (95% CI: 0.33-0.43) for panic disorder; 0.36 (95% CI: 0.30-0.42) for GAD; 0.32 (95% CI: 0.29-0.37) for social anxiety disorder; 0.32 (95% CI: 0.23-0.42) for specific phobia; and 0.24 (95% CI: 0.15-0.36) for BPD. Most sensitivity analyses broadly supported these findings. The RRs were significant for all disorders, except BPD. Our conclusion is that most psychotherapies for the eight mental disorders are effective compared with control conditions, but absolute response rates are modest. More effective treatments and interventions for those not responding to a first-line treatment are needed.