BACKGROUND: Cognitive Behavioral Therapy (CBT) has been proven an effective treatment for anxiety disorders. However, CBT still dominantly uses concepts and constructs rooted in Western cultures, and most research focuses on Western populations. It is unsure how this translates to non-Western cultures like Southeast Asia. AIMS: Our objective is to explore which types of cultural adaptations in CBT have been implemented for anxiety disorders in Southeast Asia and their effectiveness. METHODS: We systematically searched PubMed, PsycINFO, Embase, CENTRAL, GARUDA, and Google Scholar for CA-CBT for anxiety disorders in local communities in Southeast Asian countries. Data were analyzed using a narrative approach distinguishing between peripheral and core component adaptations. PROSPERO database preregistration number was CRD42022336376. RESULTS: Seven studies (one randomized controlled trial, three quasi-experimental studies, and three case reports) were selected. Two studies made cultural adaptations in multiple components. Two studies modified core treatment components by incorporating local values in the CBT restructuring process. Three studies conducted cultural adaptation on peripheral treatment components: adaptation to materials and semantics, cultural examples and themes, and session structure. Three studies did not provide detailed information. One RCT study showed better improvement for those who got CA-CBT than those in treatment as usual (TAU). CONCLUSION: The findings suggest some components to consider when conducting cultural adaptation. We could not establish the degree of superiority of CA-CBT over non-CA-CBT nor identify components with the most influence due to the limited number of studies found. Employing standard documentation in reporting trials is also important to increase transparency.

ObjectiveInternet-based cognitive behavior therapy (ICBT) may provide an accessible alternative to face-to-face treatment, but the evidence base in adolescents is limited. This systematic review and meta-analysis aims to comprehensively assess the efficacy of ICBT in addressing depression among adolescents.MethodsFour electronic databases were searched on June 8, 2023. Randomized controlled trials (RCTs) evaluating the efficacy of ICBT for depression in adolescents were included. The quality of the studies was assessed using the risk of bias tool recommended by the Cochrane Handbook. Furthermore, the GRADE approach was employed to gauge the certainty of the obtained evidence. Meta-analysis was conducted using RevMan 5.4, and Egger's test was implemented through Stata for assessment of potential publication bias.ResultsA total of 18 RCTs involving 1683 patients were included. In comparison to control groups like attention control, waiting list, and treatment as usual, our meta-analysis findings elucidate a significant reduction in depression scores (SMD = −0.42, 95 % CI: [−0.74, −0.11], p .05).ConclusionResults provide evidence of the efficacy of ICBT to reduce depressive and anxiety symptoms in adolescents. These research findings are of vital significance for the establishment of evidence-based treatment guidelines in the digital era.Trial registrationPROSPERO registration: CRD42021277562

Objective: Internet-based cognitive behavior therapy (ICBT) may provide an accessible alternative to face-to-face treatment, but the evidence base in adolescents is limited. This systematic review and meta-analysis aims to comprehensively assess the efficacy of ICBT in addressing depression among adolescents. Methods: Four electronic databases were searched on June 8, 2023. Randomized controlled trials (RCTs) evaluating the efficacy of ICBT for depression in adolescents were included. The quality of the studies was assessed using the risk of bias tool recommended by the Cochrane Handbook. Furthermore, the GRADE approach was employed to gauge the certainty of the obtained evidence. Meta-analysis was conducted using RevMan 5.4, and Egger's test was implemented through Stata for assessment of potential publication bias. Results: A total of 18 RCTs involving 1683 patients were included. In comparison to control groups like attention control, waiting list, and treatment as usual, our meta-analysis findings elucidate a significant reduction in depression scores (SMD = -0.42, 95 % CI: [-0.74, -0.11], p .05). Conclusion: Results provide evidence of the efficacy of ICBT to reduce depressive and anxiety symptoms in adolescents. These research findings are of vital significance for the establishment of evidence-based treatment guidelines in the digital era. Trial registration: PROSPERO registration: CRD42021277562.

Objectives: This study aimed to conduct a systematic review of cost-utility studies of internet-based and face-to-face cognitive behavioral therapy (CBT) for depression from childhood to adulthood and to examine their reporting and methodological quality. Methods: A structured search for cost-utility studies concerning CBT for depression was performed in 7 comprehensive databases from their inception to July 2020. Two reviewers independently screened the literature, abstracted data, and assessed quality using the Consolidated Health Economic Evaluation Reporting Standards and Quality of Health Economic Studies checklists. The primary outcome was the incremental cost-effectiveness ratio (ICER) across all studies. To make a relevant comparison of the ICERs across the identified studies, cost data were inflated to the year 2020 and converted into US dollars. Results: Thirty-eight studies were included in this review, of which 26 studies (68%) were deemed of high methodological quality and 12 studies (32%) of fair quality. Despite differences in study designs and settings, the conclusions of most included studies for adult depression were general agreement; they showed that face-to-face CBT monotherapy or combination therapy compared with antidepressants and usual care for adult depression were cost-effective from the societal, health system, or payer perspective (ICER $241 212.4/quality-adjusted life-year [QALY] to $33 032.47/QALY, time horizon 12-60 months). Internet-based CBT regardless of guided or unguided also has a significant cost-effectiveness advantage (ICER $37 717.52/QALY to $73 841.34/QALY, time horizon 3-36 months). In addition, CBT was cost-effective in preventing depression (ICER $23 932.07/QALY to $26 092.02/QALY, time horizon 9-60 months). Nevertheless, the evidence for the cost-effectiveness of CBT for children and adolescents was still ambiguous. Conclusions: Fair or high-quality evidence showed that CBT monotherapy or combination therapy for adult depression was cost-effective; whether CBT-related therapy was cost-effective for children and adolescents depression remains inconclusive.

This review compared the efficacy and acceptability of different delivery formats for cognitive behavioral therapy for insomnia (CBT-I) in insomnia. We searched five databases for randomized clinical trials that compared one CBT-I delivery format against another format or control conditions for insomnia in adults. We used pairwise meta-analyses and frequentist network meta-analyses with the random-effects model to synthesize data. A total of 61 unique trials including 11,571 participants compared six CBT-I delivery formats with four control conditions. At post-intervention, with low to high certainty evidence, individual, group, guided self-help, digital assisted, and unguided self-help CBT-I could significantly increase sleep efficiency and total sleep time (TST) and reduce sleep onset latency (SOL), wake after sleep onset (WASO), and insomnia severity compared with treatment as usual (MD range for sleep efficiency: 7.81%-12.45%; MD range for TST: 16.14-33.96 min; MD range for SOL:-22.42 to-13.81 min; MD range for WASO:-40.84 to-19.48 min; MD range for insomnia severity:-6.40 to-3.93) and waitlist (MD range for sleep efficiency: 7.68%-12.32%; MD range for TST: 12.67-30.49 min; MD range for SOL:-19.07 to-10.46 min; MD range for WASO:-47.10 to-19.15 min; MD range for insomnia severity:-7.59 to-5.07). The effects of different CBT-I formats per-sisted at short-term follow-up (4 wk-6 mo). Individual, group, and digital assisted CBT-I delivery formats would be the more appropriate choices for insomnia in adults, based on post-intervention and short-term effects. Further trials are needed to investigate the long-term effects of different CBT-I formats. (c) 2022 Elsevier Ltd. All rights reserved.

BACKGROUND: In recent years, virtual reality exposure-based cognitive behavioral therapy (VRE-CBT) has shown good treatment results in (subclinical) anxiety disorders and seems to be a good alternative to exposure in vivo in regular cognitive behavioral therapy (CBT). However, previous meta-analyses on the efficacy of VRE-CBT on anxiety disorders have included studies on specific phobias and subthreshold anxiety; therefore, these results may not be generalizable to patients with more severe and disabling anxiety disorders. OBJECTIVE: The objective of our study is to determine the efficacy of VRE-CBT on more severe anxiety disorders, excluding specific phobias and subthreshold anxiety disorders. Meta-analyses will be conducted to examine the efficacy of VRE-CBT versus waitlist and regular CBT. Our secondary objectives are to examine whether the efficacy differs according to the type of anxiety disorder, type of recruitment, and type of VRE-CBT (virtual reality exposure either with or without regular CBT). Furthermore, attrition in VRE-CBT and CBT will be compared. METHODS: Studies published until August 20, 2020, were retrieved through systematic literature searches in PubMed, PsycINFO, and Embase. We calculated the effect sizes (Hedges g) for the difference between the conditions and their 95% CIs for posttest and follow-up measurements in a random effects model. A separate meta-analysis was performed to compare attrition between the VRE-CBT and CBT conditions. RESULTS: A total of 16 trials with 817 participants were included. We identified 10 comparisons between VRE-CBT and a waitlist condition and 13 comparisons between VRE-CBT and a CBT condition. With regard to risk of bias, information on random sequence generation, allocation concealment, and risk of bias for selective outcome reporting was often absent or unclear. The mean effect size of VRE-CBT compared with waitlist (n(co)=10) was medium and significant, favoring VRE-CBT (Hedges g=-0.490, 95% CI -0.82 to -0.16; P=.003). The mean effect size of VRE-CBT compared with CBT (n(co)=13) was small and nonsignificant, favoring CBT (Hedges g=0.083, 95% CI -0.13 to 0.30; P=.45). The dropout rates between VRE-CBT and CBT (n(co)=10) showed no significant difference (odds ratio 0.79, 95% CI 0.49-1.27; P=.32). There were no indications of small study effects or publication bias. CONCLUSIONS: The results of our study show that VRE-CBT is more effective than waitlist and as effective as CBT in the treatment of more severe anxiety disorders. Therefore, VRE-CBT may be considered a promising alternative to CBT for patients with more severe anxiety disorders. Higher-quality randomized controlled trials are needed to verify the robustness of these findings.

Several reviews focused on the use of digital cognitive behavioral therapy (CBT) across different populations. This review synthesized randomized controlled trials (RCTs) that evaluated the effectiveness of digital CBT on psychological symptoms (depression, anxiety, and stress symptoms). An extensive search was conducted in 10 databases from inception until August 29, 2021. A meta-analysis using a random-effects model was performed using Hedges' g. The potential sources of heterogeneity were explored through subgroup analyses and meta-regression analysis. A total of 18 RCTs in 2514 perinatal women were identified from over 23 countries. The sample size ranged from 25 to 910. Meta-analyses showed that digital CBT significantly reduced depression (g = -0.56, 95% CI: -0.85, -0.27, I2 = 84.81%, p < 0.001), anxiety (g = -0.30, 95% CI: -0.44, -0.17, I2 = 0%, p < 0.001), and stress (g = -0.75, 95% CI: -0.95, -0.56, I2 = 0%, p < 0.001) symptoms at post-intervention and stress symptoms at follow-up (g = -0.52, 95% CI: -0.93, -0.11, I2 = 0%, p = 0.01) compared with those in the control group. Subgroup analyses highlighted that the intervention was effective when CBT was combined with other therapeutic components which delivered via a mobile application. Preferable features of intervention should be more than eight sessions and conducted for than 6 weeks among postnatal women. Multivariable meta-regression showed that age was a significant covariate on depression symptoms. The sample size in the selected RCTs was small, and the overall quality of the evidence was very low. Digital CBT is a potential intervention for alleviating psychological outcomes in perinatal women. This review suggests the essential features to optimize the intervention effect. Further well-designed RCTs with large sample sizes are necessary.

BACKGROUND: Mental ill-health presents a major public health problem. A potential part solution that is receiving increasing attention is computer-delivered psychological therapy, particularly during the COVID-19 pandemic as health care systems moved to remote service delivery. However, computerized cognitive behavioral therapy (cCBT) requires active engagement by service users, and low adherence may minimize treatment effectiveness. Therefore, it is important to investigate the acceptability of cCBT to understand implementation issues and maximize potential benefits. OBJECTIVE: This study aimed to produce a critical appraisal of published reviews about the acceptability of cCBT for adults. METHODS: An umbrella review informed by the Joanna Briggs Institute (JBI) methodology identified systematic reviews about the acceptability of cCBT for common adult mental disorders. Acceptability was operationalized in terms of uptake of, dropping out from, or completion of cCBT treatment; factors that facilitated or impeded adherence; and reports about user, carer, and health care professional experience and satisfaction with cCBT. Databases were searched using search terms informed by relevant published research. Review selection and quality appraisal were guided by the JBI methodology and the AMSTAR tool and undertaken independently by 2 reviewers. RESULTS: The systematic searches of databases identified 234 titles, and 9 reviews (covering 151 unique studies) met the criteria. Most studies were comprised of service users with depression, anxiety, or specifically, panic disorder or phobia. Operationalization of acceptability varied across reviews, thereby making it difficult to synthesize results. There was a similar number of guided and unguided cCBT programs; 34% of guided and 36% of unguided users dropped out; and guidance included email, telephone, face-to-face, and discussion forum support. Guided cCBT was completed in full by 8%-74% of the participants, while 94% completed one module and 67%-84% completed some modules. Unguided cCBT was completed in full by 16%-66% of participants, while 95% completed one module and 54%-93% completed some modules. Guided cCBT appeared to be associated with adherence (sustained via telephone). A preference for face-to-face CBT compared to cCBT (particularly for users who reported feeling isolated), internet or computerized delivery problems, negative perceptions about cCBT, low motivation, too busy or not having enough time, and personal circumstances were stated as reasons for dropping out. Yet, some users favored the anonymous nature of cCBT, and the capacity to undertake cCBT in one's own time was deemed beneficial but also led to avoidance of cCBT. There was inconclusive evidence for an association between sociodemographic variables, mental health status, and cCBT adherence or dropping out. Users tended to be satisfied with cCBT, reported improvements in mental health, and recommended cCBT. Overall, the results indicated that service users' preferences were important considerations regarding the use of cCBT. CONCLUSIONS: The review indicated that "one size did not fit all" regarding the acceptability of cCBT and that individual tailoring of cCBT is required in order to increase population reach, uptake, and adherence and therefore, deliver treatment benefits and improve mental health.

BACKGROUND: Obsessive-compulsive disorder (OCD) is a chronic mental health disorder characterized by recurring obsessions and compulsions affecting 1-3% of children and adolescents. Current treatment options are limited by accessibility, availability, and quality of care. New technologies provide opportunities to address at least some of these challenges. This paper aims to investigate the acceptability, feasibility, and efficacy of traditional cognitive behavioral therapy with Internet cognitive behavioral therapy (iCBT) for pediatric OCD according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. METHOD: We searched EMBASE, Medline, PsycINFO, CENTRAL, LILACS, CINAHL, and Scopus. Results include articles from 1987 to March 2018. Main inclusion criteria were patients aged 4-18, primary diagnosis of OCD, and iCBT. RESULTS: Of the 2323 unique articles identified during the initial search, six studies with a total of 96 participants met our inclusion criteria: three randomized controlled trials, one single-case multiple-baseline design, one open-label trial, and one case series. Four studies reported a significant decrease in OCD severity on the Children's Yale-Brown Obsessive-Compulsive Scale (CY-BOCS) following iCBT, one study reported significant decrease in CY-BOCS scores for iCBT relative to waitlist, and the case series reported (some) symptom reduction in all participants. Six studies reported high rates of feasibility, and five studies reported good acceptability of iCBT. CONCLUSION: At present, evidence regarding acceptability, feasibility, and efficacy of iCBT for pediatric OCD is limited. Results are promising but need to be confirmed and refined in further research.

OBJECTIVES:This study aimed to review the effectiveness of low-intensity cognitive behavioral therapy (CBT)-based interventions for informal dementia caregivers when compared to non-active control conditions. DESIGN: Literature searches were conducted in databases of published (PsycINFO, MEDLINE, CINAHL, Scopus) and unpublished (Open Grey, ISRCTN registry, ClinicalTrials.gov, ProQuest) literature. Individual meta-analyses were conducted for each outcome variable. Pooled intervention effect estimates were calculated as Hedge's g using a random-effects model. INCLUDED STUDIES: Studies examining the effect of low-intensity CBT-based interventions for informal caregivers for people with any progressive dementia were included. Randomized controlled trials and controlled clinical trials were included. MEASUREMENTS: Outcomes included the psychological variables of anxiety, depression, burden, and distress (defined as stress or strain). RESULTS: A total of five studies reported anxiety outcomes, 12 reported on depression, three reported on burden, and six reported distress outcomes. Results demonstrated a significant effect of low-intensity CBT-based interventions in reducing all examined psychological difficulties. Small effect sizes were found for anxiety (g = 0.35), depression (g = 0.27), and distress (g = 0.33). A medium effect was found for burden (g = 0.53). CONCLUSIONS: The results provide initial support for low-intensity CBT-based interventions for dementia caregivers. Clinical implications and research recommendations are explored. Strengths and limitations of the study are discussed.

BACKGROUND: Depression and anxiety disorders are common and treatable with cognitive behavior therapy (CBT), but access to this therapy is limited. OBJECTIVE: Review evidence that computerized CBT for the anxiety and depressive disorders is acceptable to patients and effective in the short and longer term. METHOD: Systematic reviews and data bases were searched for randomized controlled trials of computerized cognitive behavior therapy versus a treatment or control condition in people who met diagnostic criteria for major depression, panic disorder, social phobia or generalized anxiety disorder. Number randomized, superiority of treatment versus control (Hedges g) on primary outcome measure, risk of bias, length of follow up, patient adherence and satisfaction were extracted. PRINCIPAL FINDINGS: 22 studies of comparisons with a control group were identified. The mean effect size superiority was 0.88 (NNT 2.13), and the benefit was evident across all four disorders. Improvement from computerized CBT was maintained for a median of 26 weeks follow-up. Acceptability, as indicated by adherence and satisfaction, was good. Research probity was good and bias risk low. Effect sizes were non-significantly higher in comparisons with waitlist than with active treatment control conditions. Five studies comparing computerized CBT with traditional face-to-face CBT were identified, and both modes of treatment appeared equally beneficial. CONCLUSIONS: Computerized CBT for anxiety and depressive disorders, especially via the internet, has the capacity to provide effective acceptable and practical health care for those who might otherwise remain untreated.

The rapid advances and adoption of smartphone technology presents a novel opportunity for delivering mental health interventions on a population scale. Despite multi-sector investment along with wide-scale advertising and availability to the general population, the evidence supporting the use of smartphone apps in the treatment of depression has not been empirically evaluated. Thus, we conducted the first meta-analysis of smartphone apps for depressive symptoms. An electronic database search in May 2017 identified 18 eligible randomized controlled trials of 22 smartphone apps, with outcome data from 3,414 participants. Depressive symptoms were reduced significantly more from smartphone apps than control conditions (g=0.38, 95% CI: 0.24-0.52, p<0.001), with no evidence of publication bias. Smartphone interventions had a moderate positive effect in comparison to inactive controls (g=0.56, 95% CI: 0.38-0.74), but only a small effect in comparison to active control conditions (g=0.22, 95% CI: 0.10-0.33). Effects from smartphone-only interventions were greater than from interventions which incorporated other human/computerized aspects along the smartphone component, although the difference was not statistically significant. The studies of cognitive training apps had a significantly smaller effect size on depression outcomes (p=0.004) than those of apps focusing on mental health. The use of mood monitoring softwares, or interventions based on cognitive behavioral therapy, or apps incorporating aspects of mindfulness training, did not affect significantly study effect sizes. Overall, these results indicate that smartphone devices are a promising self-management tool for depression. Future research should aim to distil which aspects of these technologies produce beneficial effects, and for which populations.

BACKGROUND: Chronic low back pain is one of the most common presenting complaints to a physician's office. Treatment is often challenging and recovery depends on various factors, often resulting in significant investments of time and resources. OBJECTIVE: The aim of this review is to determine which Web-based interventions aimed at chronic low back pain are of benefit to patients. METHODS: Randomized controlled trials (RCTs) studying Web-based interventions directed at adults with chronic low back pain were included. Retrospective studies, narrative reviews, nonrandomized trials, and observational studies were excluded. Electronic databases and bibliographies were searched. RESULTS: In total, nine unique RCTs were identified (total participants=1796). The number of patients randomized in each trial ranged from 51 to 580. Four trials studied online cognitive behavioral therapy (CBT) and five trials studied other Web-based interventions with interactive features. Empowerment/control was improved in six studies. Use of CBT was associated with reduced catastrophization among patients. Mixed results were reported with regards to reduction in pain levels and disability, although some studies showed promise in reducing disability in the short term. One study that measured health care utilization reported reduced utilization with the use of moderated email discussion. CONCLUSIONS: Limited data are available regarding effective Web-based interventions to improve outcomes for patients with chronic low back pain. Nine RCTs with small sample sizes were identified in this review. Online CBT appears to show some promise in terms of reducing catastrophization and improving patient attitudes. Further research in this area with larger-scale studies focusing on appropriate outcomes appears to be a priority.

The demand for family caregivers steadily increases as the number of people receiving hospice and palliative care rises. Family caregivers play a significant role in supporting their loved ones in end-of-life care. However, there is limited evidence about the effectiveness of the interventions for supporting family caregivers. This article synthesizes behavioral and educational interventions that support family caregivers in end-of-life care. A systematic review was conducted and searched interventional studies published between 2004 and 2014 in PubMed, CINAHL, Embase, and The Cochrane Library electronic databases. Fourteen studies were identified and analyzed: 4 educational studies, 6 cognitive behavioral therapy studies, and 4 psychoeducational studies. All educational and behavioral interventions had developed structures and treatment manuals and improved family caregivers' outcomes. The cognitive behavioral therapy resulted in more positive outcomes than the other 2 interventions. More rigorous randomized controlled trials are needed to replicate current effective interventions with larger and diverse sample. Future studies need to develop tools for assessing family caregivers' needs, create consistent and specific tools to effectively measure family caregivers' outcomes, incorporate a cost-effectiveness analysis, and find the most efficient intervention format and method

PURPOSE: Driving phobia is prevalent in injured individuals following motor vehicle crashes (MVCs). The evidence for virtual reality (VR) based psychological treatments for driving phobia is unknown. This systematic review synthesized the available evidence on the effectiveness, feasibility, and user experience of psychological treatments for driving phobia using VR. METHODS: Three databases (PsycINFO, SCOPUS, and PubMed) were searched. Eligibility criteria included adults with clinical or sub-clinical levels of driving phobia manifesting as part of an anxiety disorder or post-traumatic stress disorder (PTSD). Primary outcomes were driving-related anxiety/fear or avoidance, PTSD symptoms and driving frequency/intensity, as well as treatment feasibility including recruitment, treatment completion and retention rates, user experience and immersion/presence in the VR program. Secondary outcomes were other health outcomes (e.g., depression) and VR technological features. RESULTS: The 14 included studies were of low methodological quality. Clinical and methodological heterogeneity prevented quantitative pooling of data. The evidence provided in this review is limited by trials with small sample sizes, and lack of diagnostic clarity, controlled designs, and long-term assessment. The evidence did suggest that VR-based psychological interventions could be feasible and acceptable in this population. CONCLUSIONS: For VR-based psychological interventions to be recommended for driving phobia, more high-quality trials are needed. Implications for rehabilitationVirtual reality (VR) based psychological treatments may be feasible and acceptable to patients with driving phobia.There is potential to increase accessibility to psychological therapies in patients with driving phobia following motor vehicle crashes through the use of digital psychiatry such as VR.

The advent of stepped-care and the need to disseminate cognitive behavioral therapy for insomnia (CBT-I) has led to novel interventions, which capitalize on non-specialist venues and/or health personnel. However, the translatability of these CBT-I programs into practice is unknown. This review evaluates the current state of CBT-I programs that are directly implemented in primary care and/or community settings. A literature search was conducted through major electronic databases (N = 840) and through snowballing (n = 8). After removing duplicates, 104 full-texts were extracted and evaluated against our initial inclusion criteria. Twelve studies including data from 1625 participants were subsequently evaluated for its study design and methodological quality. CBT-I program components varied across studies and included cognitive therapy (n = 6), relaxation (n = 7), sleep restriction therapy (n = 9), stimulus control therapy (n = 11) and sleep psychoeducation (n = 12). The respective interventions produced small-moderate post-treatment weighted effect sizes for the Insomnia Severity Index (0.40), Pittsburgh Sleep Quality Index (0.37), Sleep Efficiency (0.38), Sleep Onset Latency (0.38), and Wake time After Sleep Onset (0.46) but Total Sleep Time (0.10) did not reach statistical significance. While non-specialist community settings can potentially address the demands for CBT-I across clinical contexts, intervention heterogeneity precluded the full impact of the 12 CBT-I programs to be evaluated.