From research to routine care: A historical review of internet-based cognitive behavioral therapy for adult mental health problems in Sweden.

This narrative historical review examines the development of internet-based cognitive behavioral therapy (ICBT) in Sweden, describing its progression within both academic and routine care settings. The review encompasses key publications, significant scientific findings, and contextual factors in real-world settings. Over 25 years ago, Sweden emerged as a pioneering force in internet-delivered treatment research for mental health. Since then, Swedish universities, in collaboration with research partners, have produced substantial research demonstrating the efficacy of ICBT across various psychological problems, including social anxiety disorder, panic disorder, generalized anxiety disorder, and depression. Although research conducted in clinical settings has been less frequent than in academic contexts, it has confirmed the effectiveness of therapist-supported ICBT programs for mild-to-moderate mental health problems in routine care. Early on, ICBT was provided as an option for patients at both the primary care level and in specialized clinics, using treatment programs developed by both public and private providers. The development of a national platform for delivering internet-based treatment and the use of procurement in selecting ICBT programs and providers are factors that have shaped the current routine care landscape. However, gaps persist in understanding how to optimize the integration of digital treatment in routine care, warranting further research and the use of specific implementation frameworks and outcomes. This historical perspective on the research and delivery of ICBT in Sweden over two decades offers insights for the international community into the development and broad dissemination of a specific digital mental health intervention within a national context.

Internet-delivered cognitive behaviour therapy for affective disorders, anxiety disorders and somatic conditions: An updated systematic umbrella review.

Background: Internet-delivered cognitive behaviour therapy (ICBT), which can involve guidance from a clinician, continues to be a way to deliver psychological treatments. A previous umbrella review identified moderate-to-large effect sizes favouring ICBT compared to control conditions when treating major depression and anxiety disorders. Given the rapid developments in the field, an updated umbrella review of available meta-analyses can show other conditions and subpopulations for which ICBT is effective. The aim of the study was to provide an expanded overview of the efficacy of ICBT for a broader range of adult psychiatric and somatic conditions. Methods: We conducted an updated search of the literature since the publication of the previous umbrella review back in 2019 and up until March 2024. Five different search engines were used (Medline (OVID), Scopus, Web of Science, Cochrane library and CINAHL). The search was expanded to include additional psychiatric conditions (e.g., suicidal ideation) and somatic conditions (e.g., tinnitus and chronic pain). Results: Of the 6509 identified articles, 39 meta-analyses met the inclusion criteria. In these meta-analyses 19 unique outcomes were represented. The most common outcome was symptoms of major depressive disorder, followed by symptoms of anxiety. Effect sizes for the comparisons against control conditions ranged between small (e.g., SMD = 0.10 for stress in employees) to large (e.g., SMD = 1.20 for depressive symptoms among older adults). Conclusions: ICBT can generally reduce symptoms of a wide range of conditions including both psychiatric and somatic conditions, as well as other mental health problems. This updated review of available meta-analyses also indicated that ICBT has been successful in treating symptoms in different subpopulations such as older adults and students. However, some knowledge gaps remain, including the use of ICBT for psychotic disorders, and the quality of the available meta-analyses' points to a need for more stringent methodological procedures.

Internet-based, parent-led cognitive behavioral therapy for autistic youth with anxiety-related disorders: A randomized trial comparing email vs. telehealth support.

This study tested two versions of parent-led, Internet-delivered cognitive behavioral therapy for anxiety among autistic youth; one that provided weekly email support (iCBT-Email), and one that provided alternating bi-weekly emails and video calls (iCBT-Video) across 12 weeks. It was expected that those in the iCBT-Video condition would complete more treatment content, which in turn would lead to more anxiety improvement. Fifty-seven autistic youth (7-15 years-old) with anxiety disorders were randomized to iCBT-Email or iCBT-Video. There were no significant differences in improvement in clinician-rated, child-reported, or parent-reported anxiety severity or functional impairment. Posttreatment response rates were 55% in iCBT-Email and 67% in iCBT-Video. Module completion predicted improved treatment outcome, though there was no difference in module completion across groups. Therapists spent an average of 16.29 min/family/week (SD = 7.11) in the iCBT-Email condition and 24.13 min/family/week (SD = 6.84) in the iCBT-Video condition. Email and telehealth-supported, parent-led iCBT both appear to be effective treatments for autistic youth with anxiety disorders that require reduced therapist effort. Future research should seek novel methods to enhance engagement with iCBT content. CLINICALTRIALS.GOV IDENTIFIER: NCT05284435.

Long-Term Effects of Internet-Based Cognitive Behavioral Therapy on Depression Prevention Among University Students: Randomized Controlled Factorial Trial.

Background: Internet-based cognitive behavioral therapy (iCBT) shows promise in the prevention of depression. However, the specific iCBT components that contribute to its effectiveness remain unclear. Objective: We aim to evaluate the effects of iCBT components in preventing depression among university students. Methods: Using a smartphone cognitive behavioral therapy (CBT) app, we randomly allocated university students to the presence or absence of 5 different iCBT components: self-monitoring, behavioral activation, cognitive restructuring, assertiveness training, and problem-solving. The active intervention lasted 8 weeks but the app remained accessible through the follow-up. The primary outcome was the onset of a major depressive episode (MDE) between baseline and the follow-up after 52 weeks, as assessed with the computerized World Health Organization Composite International Diagnostic Interview. Secondary outcomes included changes in the 9-item Patient Health Questionnaire, 7-item General Anxiety Disorder, and CBT Skills Scale. Results: During the 12-month follow-up, 133 of 1301 (10.22%) participants reported the onset of an MDE. There were no significant differences in the incidence of MDEs between the groups with or without each component (hazard ratios ranged from 0.85, 95% CI 0.60-1.20, for assertiveness training to 1.26, 95% CI 0.88-1.79, for self-monitoring). Furthermore, there were no significant differences in the changes on the 9-item Patient Health Questionnaire, 7-item General Anxiety Disorder, or for CBT Skills Scale between component allocation groups. However, significant reductions in depression and anxiety symptoms were observed among all participants at the 52-week follow-up. Conclusions: In this study, we could not identify any specific iCBT components that were effective in preventing depression or the acquisition of CBT skills over the 12-month follow-up period, but all participants with and without intervention of each iCBT component demonstrated significant improvements in depressive and anxiety symptoms. Further research is needed to explore the potential impact of frequency of psychological assessments, nonspecific intervention effects, natural change in the mental state, and the baseline depression level.

Introducing and Evaluating the Effectiveness of Online Cognitive Behavior Therapy for Gambling Disorder in Routine Addiction Care: Comparative Cohort Study.

BACKGROUND: Several treatment-related challenges exist for gambling disorder, in particular at-scale dissemination in health care settings. OBJECTIVE: This study describes the introduction of a newly developed internet-delivered cognitive behavioral therapy (iCBT) program for gambling disorder (GD), provided with therapist support in routine addiction care, in a nationally recruited sample in Sweden. The study details the introduction of the iCBT program, evaluates its effectiveness and acceptability, and compares registry outcomes among iCBT patients with other patients with GD at the clinic who received face-to-face psychological treatment as usual. METHODS: The study site was the Stockholm Addiction eClinic, which offers digital interventions for addictive disorders in routine care. The iCBT program was introduced nationally for treatment-seeking patients through the Swedish eHealth platform. After approximately 2 years of routine treatment provision, we conducted a registry study, including ordinary patients in routine digital care (n=218), and a reference sample receiving face-to-face psychological treatment for GD (n=216). RESULTS: A statistically significant reduction in the Gambling Symptom Assessment Scale scores during the treatment was observed (B=-1.33, SE=0.17, P<.001), corresponding to a large within-group Cohen d effect size of d=1.39. The iCBT program was rated high for satisfaction. A registry-based survival analysis, controlling for psychiatric comorbidity, showed that patients receiving iCBT exhibited posttreatment outcomes (re-engagement in outpatient addiction care, receiving new psychiatric prescriptions, enrollment in psychiatric inpatient care, and care events indicative of contact with social services) similar to comparable patients who underwent face-to-face treatment-as-usual. CONCLUSIONS: A lack of randomized allocation notwithstanding, the iCBT program for GD evaluated in this study was well-received by patients in routine addiction care, was associated with the expected symptom decrease during treatment, and appears to result in posttreatment registry outcomes similar to face-to-face treatment. Future studies on treatment mechanisms and moderators are warranted. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s40814-020-00647-5.

Efficacy of an internet-based guided trauma-focused intervention in reducing ICD-11 posttraumatic stress disorder symptoms: study protocol of a randomized controlled trial.

BACKGROUND: Posttraumatic stress disorder (PTSD) is a common mental disorder. However, many cases of PTSD remain untreated because of limited healthcare resources and other treatment-seeking barriers. Effective internet-based interventions could help to improve access to PTSD treatments. Therefore, the main objective of the planned randomized controlled trial is to evaluate the efficacy of the Lithuanian version of the guided internet-based self-help programme (Spring) in reducing ICD-11 PTSD symptoms. METHODS: The planned sample size is 50 participants exposed to different traumatic experiences. Participants eligible for the study will be randomized into two study groups: the immediate treatment group and the delayed treatment control group. Both groups will receive guided trauma-focused ICBT intervention, but the delayed treatment group will receive access to the programme five months after randomization. The International Trauma Interview (ITI) will be used for the assessment of ICD-11 PTSD symptoms at pre-treatment, post-treatment, and at a 3-month follow-up. Changes in disturbances in self-organization, depression and anxiety levels, as well as posttraumatic cognitions and trauma-related shame, will also be evaluated. In addition, associations between changes in symptoms of PTSD and readiness for treatment, treatment expectations and working alliance will be explored. Changes in treatment outcomes will be evaluated using multiple Latent Change Models. DISCUSSION: This study is expected to contribute to valuable knowledge on the efficacy of internet-based interventions for posttraumatic stress disorder. TRIAL REGISTRATION: ClinicalTrials.gov NCT06475716. Registered on 25 June 2024.

Naturalistic use of a digital mental health intervention for depression and anxiety: A randomized clinical trial.

BACKGROUND: Digital mental health interventions (DMHI) may offer scalable treatment for common mental health conditions. However, many commercially available apps have not been subjected to rigorous evaluation of effectiveness, particularly among users experiencing clinically significant symptomatology. We examined depression and anxiety symptom outcomes associated with a top-rated, commercially available self-guided DMHI based on cognitive behavioral therapy ("Sanvello") relative to waitlist control. METHODS: This preregistered web-based, 2-arm, parallel-group randomized trial enrolled U.S. adults with self-reported elevated symptoms of depression and/or anxiety. Those assigned to the treatment condition were provided 8 weeks of access to Sanvello. Co-primary outcomes of depression (Patient Health Questionnaire [PHQ-9]) and anxiety (Generalized Anxiety Disorder 7-item scale [GAD-7]) severity were assessed at baseline and 2, 4, 6, and 8 weeks. RESULTS: Intention-to-treat analyses included 280 participants (mean age 32.47 ± 9.32 years; 86.1 % women). Generalized linear mixed models showed a significant improvement in depression (F(4,779) = 6.51, p < .001) and anxiety (F(4,907) = 3.28, p = .01) associated with the DMHI over time. The intervention was also associated with a greater proportion of participants exhibiting depression response (25 [45.5 %] vs 26 [16.9 %]) and remission (10 [18.2 %] vs 7 [4.5 %]) on the PHQ-9, and anxiety response (31 [44.9 %] vs 39 [22.8 %]) and remission (20 [29.0 %] vs 27 [15.8 %]) on the GAD-7, relative to waitlist. LIMITATIONS: Findings may not represent people with serious mental illness, suicidality, or the broader population of DMHI users. CONCLUSIONS: A commercially available, self-guided DMHI was effective at improving symptoms in individuals experiencing depression or anxiety. TRIAL REGISTRATION: ClinicalTrials.gov [NCT05373329].

Suicidal ideation following internet-delivered tailored CBT for depression - a secondary analysis of a factorial design trial.

Introduction: Suicidal ideation is common in major depressive disorder (MDD) and a risk factor for suicidal behavior. Although it can be reduced with psychological treatments, the risks often make clinicians hesitant to offer treatment. This concerns remote treatment options, such as internet-delivered cognitive behavior therapy (ICBT), which may be considered unsafe. Although previous studies indicate that ICBT can reduce self-reported suicidal ideation both as primary and indirect treatment target, questions remain about under what circumstances ICBT can be offered as the primary treatment. In this secondary report, we investigated the importance of different treatment factors in reducing suicidal ideation via ICBT, including different kinds of therapist support. Methods: We analyzed data from 197 participants from a factorial trial of ICBT for symptoms of MDD. Before inclusion all participants completed a structured clinical interview where obvious suicidal intent lead to exclusion. Suicidal ideation was assessed at pre- and posttreatment using one item of the PHQ-9 and one from BDI-II. The data were analyzed using generalized linear models. Results: The pre- to posttreatment comparisons showed decreases in the reporting of suicidal ideation. Findings were consistent across the two measures that was used. There was no effect of support format and content tailoring. Conclusions: The findings suggest that ICBT can help alleviate suicidal ideation even when it is not the focus of the treatment. This was the case regardless of mode of therapist support, who tailored the treatment content, and if case supervision was available or not.

Older Adults Experience with a Layperson-Supported Digital Mental Health Intervention for Depression: Qualitative Insights on Engagement.

OBJECTIVES: This qualitative study examines the experiences of older adults with Empower@Home, an older adult-centered, layperson-supported internet-based cognitive behavioral therapy (iCBT) program for depression, with a focus on engagement-related factors. METHODS: Adults aged 50 or older with at least mild depressive symptoms were recruited from multiple resources. A random subset of participants was invited for a semi-structured qualitative interview during a post-intervention assessment conducted over the phone (N = 148). Interviews were recorded and transcribed verbatim. Transcripts were coded in a multi-phase, team-based approach utilizing inductive coding techniques, followed by thematic analysis to identify key themes. RESULTS: Six key themes regarding engagement emerged: the importance of a structured, skills-based, and self-paced approach; the essential role of weekly coaching for accountability, web interface's ease of use and accessibility; narrative engagement dynamics; enhanced learning through multimodal instruction; and tailoring challenges in iCBT. CONCLUSIONS: Older adult-centered, layperson-supported, and multimodal iCBT can effectively engage older adults in managing their mental health. CLINICAL IMPLICATIONS: iCBT programs can be integrated into various community aging settings. By leveraging each setting's strengths and involving a range of professionals, these programs can play an important role in enhancing older adults' mental health.

Uptake of a self-guided digital treatment for depression and anxiety: A qualitative study exploring patient perspectives and decision-making.

BACKGROUND: Despite the demonstrated efficacy and potential scalability of self-guided digital treatments for common mental health conditions, there is substantial variability in their uptake and engagement. This study explored the decision-making processes, influences and support needs of people taking up a self-guided digital treatment for anxiety and/or depression. METHODS: Australian-based adults (n = 20) were purposively sampled from a trial of self-guided digital mental health treatment. One-to-one, semistructured interviews were conducted, based on the Ottawa Decision-Support Framework. Interviews were transcribed verbatim and analysed thematically using framework methods. Baseline sociodemographic, clinical and decision-making characteristics were also collected. RESULTS: Analyses yielded four themes. Theme 1 captured participants' openness to try self-guided digital treatment, despite limited deliberation on potential downsides or alternative options. Theme 2 highlighted that immediacy and ease of access were major drivers of uptake, which participants contrasted with gaps in access and continuity of care in face-to-face services, especially rurally. Theme 3 centred on participants as the main agents in their decision-making, with family and health professional attitudes also reportedly influencing decision-making. Theme 4 revealed participants' primary motivations for deciding to take up treatment (e.g., the potential to increase insight and coping skills), while also acknowledging that pre-existing characteristics (e.g., health and digital literacy, insight) determined participants' personal suitability for self-guided digital treatment. CONCLUSION: Findings help to elucidate the decision-making influences and processes amongst people who started a self-guided treatment for depression and anxiety. Additional information and decision support resources appear warranted, which may also improve the accessibility of self-guided treatments. PUBLIC OR PATIENT CONTRIBUTION: Patients were interviewed about their views and experiences of decision-making about accessing and taking up treatment. As such, patient contribution to the research was as study participants.

Predictors of dropout, time spent on the program and client satisfaction in an internet-based, telephone-assisted CBT anxiety program among elementary school children in a population-based sample.

Increasing evidence has shown that childhood anxiety can be effectively treated by Internet-based cognitive behavioral therapy (ICBT). Being able to predict why participants decide to drop out of such programs enables scarce resources to be used appropriately. The aim of this study was to report dropout predictors for a population-based ICBT intervention aimed at children with anxiety, together with the time they and their parents spent on the program and client satisfaction rates. The study focused on 234 Finnish children aged 10-13 who received an ICBT intervention, with telephone support, for anxiety symptoms, as a part of a randomized control trial. Their parents also had access to Internet-based material and participated in the weekly telephone calls with the coach. Possible drop out factors were explored and these included various family demographics, child and parent psychopathology and therapeutic alliance. Just under a fifth (23.9%) of the children dropped out of the intervention. The risk was higher if the child did not fulfill the criteria for any anxiety diagnosis or reported a poorer therapeutic alliance. Family demographics and the COVID-19 pandemic did not increase the risk. The families spent an average of 127 min on the webpage each week and an average of 32 min on the phone calls. The overall satisfaction with the program was 87% for the children and 95% for the parents. Both the children and the parents found the telephone calls helpful. These findings are important in clinical practice when assessing a family's eligibility for ICBT.

For Whom and for How Long Does the "Be a Mom" Intervention Work? A Secondary Analysis of Data From a Randomized Controlled Trial Exploring the Mid-Term Efficacy and Moderators of Treatment Response.

This study explored clinical and sociodemographic moderators of treatment response to "Be a Mom", an internet-based cognitive behavioral therapy (iCBT) intervention, from baseline to postintervention, in women at high risk for postpartum depression (PPD). The study also assessed the stability of women's treatment gains from baseline to 4-months postintervention (follow-up). This open-label randomized controlled trial (RCT) involved a sample of 1,053 postpartum Portuguese women identified as being at high risk for PPD (i.e., having a score of 5.5 or higher on the Postpartum Depression Predictors Inventory-Revised); participants were allocated to "Be a Mom" intervention group or a waiting-list control group, and completed self-report measures at baseline, postintervention, and a 4-month follow-up (554 women completed follow-up assessments). Depressive and anxiety symptoms were measured using the Edinburgh Postnatal Depression Scale and the anxiety subscale of the Hospital Anxiety and Depression Scale, and flourishing/positive mental health was assessed with the Mental Health Continuum. Regression models and linear mixed models were used to examine moderators of treatment and the mid-term efficacy of the "Be a Mom" intervention, respectively. The results revealed that treatment completion, higher depression scores at baseline, and higher income levels were linked to greater symptom reduction and positive mental health enhancement. Moreover, the efficacy of the "Be a Mom" intervention was supported at the 4-month follow-up. The "Be a Mom" intervention appears to be an effective iCBT tool for reducing psychological distress and enhancing positive mental health in women at risk for PPD, with therapeutic improvements maintained over a 4-month period.

Web-Based, Human-Guided, or Computer-Guided Transdiagnostic Cognitive Behavioral Therapy in University Students With Anxiety and Depression: Randomized Controlled Trial.

BACKGROUND: Internet-based cognitive behavioral interventions (iCBTs) are efficacious treatments for depression and anxiety. However, it is unknown whether adding human guidance is feasible and beneficial within a large educational setting. OBJECTIVE: This study aims to potentially demonstrate the superiority of 2 variants of a transdiagnostic iCBT program (human-guided and computer-guided iCBT) over care as usual (CAU) in a large sample of university students and the superiority of human-guided iCBT over computer-guided iCBT. METHODS: A total of 801 students with elevated levels of anxiety, depression, or both from a large university in the Netherlands were recruited as participants and randomized to 1 of 3 conditions: human-guided iCBT, computer-guided iCBT, and CAU. The primary outcome measures were depression (Patient Health Questionnaire) and anxiety (Generalized Anxiety Disorder scale). Secondary outcomes included substance use-related problems (Alcohol Use Disorder Identification Test and Drug Abuse Screening Test-10 items). Linear mixed models were used to estimate the effects of time, treatment group, and their interactions (slopes). The primary research question was whether the 3 conditions differed in improvement over 3 time points (baseline, midtreatment, and after treatment) in terms of depression and anxiety symptoms. Results were analyzed according to the intention-to-treat principle using multiple imputation. Patients were followed exploratively from baseline to 6 and 12 months. RESULTS: In both short-term and long-term analyses, the slopes for the 3 conditions did not differ significantly in terms of depression and anxiety, although both web-based interventions were marginally more efficacious than CAU over 6 months (P values between .02 and .03). All groups showed significant improvement over time (P<.001). For the secondary outcomes, only significant improvements over time (across and not between groups) were found for drug use (P<.001). Significant differences were found in terms of adherence, indicating that participants in the human-guided condition did more sessions than those in the computer-guided condition (P=.002). CONCLUSIONS: The transdiagnostic iCBT program offers a practical, feasible, and efficacious alternative to usual care to tackle mental health problems in a large university setting. There is no indication that human guidance should be preferred over technological guidance. The potential preference of human support also depends on the scale of implementation and cost-effectiveness, which need to be addressed in future trials. TRIAL REGISTRATION: International Clinical Trials Registry Platform NL7328/NTR7544; https://trialsearch.who.int/Trial2.aspx?TrialID=NL-OMON26795.

Web-Based Therapist-Guided Mindfulness-Based Cognitive Behavioral Therapy for Body Dysmorphic Disorder: Pilot Randomized Controlled Trial.

BACKGROUND: Internet-based cognitive behavioral therapy (CBT) and stand-alone mindfulness meditation interventions are gaining empirical support for a wide variety of mental health conditions. In this study, we test the efficacy of web-based therapist-guided mindfulness-based cognitive behavioral therapy (CBT-M) for body dysmorphic disorder (BDD), a psychiatric disorder characterized by preoccupations with perceived defects in appearance. OBJECTIVE: This study aims to determine whether CBT-M for BDD delivered on the web is feasible and acceptable and whether mindfulness meditation adds to CBT treatment effects for BDD. METHODS: In this 8-week, 2-arm, parallel pilot randomized controlled trial, n=28 adults (aged between 18 and 55 years) were randomly allocated to an experimental group (web-based therapist-guided CBT-M) or a control group (web-based therapist-guided CBT). Study retention, accrual, and intervention adherence were assessed, along with self-report measures for BDD, depression, anxiety, and pain intensity taken at baseline and postintervention. RESULTS: This study was feasible to implement and deemed acceptable by participants. After 8 weeks, significant improvements were found on all outcome measures for both treatment groups, and large between-group effect sizes favoring CBT-M were found for BDD symptom severity (d=-0.96), depression (d=-1.06), pain severity (d=-1.12), and pain interference (d=-1.28). However, linear mixed models demonstrated no significant differences between the groups over 8 weeks. CONCLUSIONS: The results suggest that mindfulness meditation may add to beneficial web-based CBT treatment effects for BDD. An adequately powered randomized control trial of web-based CBT-M is warranted. TRIAL REGISTRATION: ClinicalTrials.gov NCT05402475, http://clinicaltrials.gov/ct2/show/NCT05402475.

Dataset size versus homogeneity: A machine learning study on pooling intervention data in e-mental health dropout predictions.

Objective: This study proposes a way of increasing dataset sizes for machine learning tasks in Internet-based Cognitive Behavioral Therapy through pooling interventions. To this end, it (1) examines similarities in user behavior and symptom data among online interventions for patients with depression, social anxiety, and panic disorder and (2) explores whether these similarities suffice to allow for pooling the data together, resulting in more training data when prediction intervention dropout. Methods: A total of 6418 routine care patients from the Internet Psychiatry in Stockholm are analyzed using (1) clustering and (2) dropout prediction models. For the latter, prediction models trained on each individual intervention's data are compared to those trained on all three interventions pooled into one dataset. To investigate if results vary with dataset size, the prediction is repeated using small and medium dataset sizes. Results: The clustering analysis identified three distinct groups that are almost equally spread across interventions and are instead characterized by different activity levels. In eight out of nine settings investigated, pooling the data improves prediction results compared to models trained on a single intervention dataset. It is further confirmed that models trained on small datasets are more likely to overestimate prediction results. Conclusion: The study reveals similar patterns of patients with depression, social anxiety, and panic disorder regarding online activity and intervention dropout. As such, this work offers pooling different interventions' data as a possible approach to counter the problem of small dataset sizes in psychological research.

An internet-based cognitive behavioural intervention for adults with depression in Arabic-speaking countries: A randomized controlled trial.

Internet-based interventions have proven to be effective for the treatment of depression in different samples, but evidence from the Middle East and North Africa (MENA) region is scarce. The aim of this study was to investigate the acceptance and efficacy of an internet-based cognitive behavioural writing intervention for Arabic-speaking participants with depression living in the MENA region. A total of 259 participants (167 female, age in years: M = 25.58, SD = 6.39) with depressive symptoms indicative of clinical relevance were randomly allocated to a treatment group (TG; nTG = 128) or a waitlist control group (WG; nWG = 131). The TG received an internet-based intervention over a 6-week period. The primary outcome was depressive symptoms, and secondary outcomes were anxiety and quality of life (QoL). T-tests with change scores from pre- to post-treatment were used for data analyses. Intention-to-treat (ITT) as well as completer analyses were calculated. The ITT analysis revealed significant differences between the TG and WG in depression (T257 = -4.89, p < 0.001, d = 0.70) and QoL (T257 = 3.39, p < 0.001, d = 0.47). Significant differences regarding anxiety symptoms (T257 = 3.25, p < 0.05, d = 0.53) were identified for the completer sample. The general dropout rate was 39.9%. The results indicate the feasibility and efficacy of an internet-based cognitive behavioural writing intervention in adults from Arabic-speaking countries. The development and implementation of such interventions can be used to improve access to psychological help and adequate treatment.

Internet-Based Cognitive Behavioural Treatments for Obsessive-Compulsive Disorder: A Systematic Review and Meta-Analysis.

Obsessive-compulsive disorder (OCD) is a common mental health condition characterized by distressing, intrusive thoughts (obsessions) and repetitive behaviours (compulsions) aimed at reducing anxiety. Internet-based cognitive behavioural therapy (ICBT) has emerged as an effective treatment modality for various mental health disorders. This meta-analysis evaluates the efficacy of guided self-help ICBT (GSH ICBT) and unguided self-help ICBT (SH ICBT) against active and passive control conditions in adults with OCD. A comprehensive systematic literature search yielded 12 randomized controlled trials (RCTs) comprising 15 comparison arms (N = 1416) that met the inclusion criteria. Results indicate that GSH ICBT significantly reduced OCD symptomatology posttreatment compared to active controls (g = 0.378, k = 9), with no significant effects maintained at follow-up (g = 0.153, k = 4). GSH ICBT was also found to be as effective as active CBT interventions in reducing comorbid anxiety and depression symptoms posttreatment (g = 0.278, k = 6) and at follow-up (g = 0.124, k = 4). However, improvements in quality of life were not significant posttreatment (g = 0.115, k = 4) nor at follow-up (g = 0.179, k = 3). Combined GSH and SH ICBT demonstrated large effects on reducing OCD symptoms (g = 0.754, k = 6), medium effects on comorbid symptoms (g = 0.547, k = 6) and small effects on quality of life (g = 0.227, k = 2) when compared to inactive controls. No significant differences were found between GSH and SH ICBT in all measured outcomes posttreatment (OCD: g = 0.098, k = 3; AD: g = 0.070, k = 3; QoL: g = -0.030, k = 1) and at follow-up (OCD: g = 0.265, k = 2; AD: g = 0.084, k = 2; QoL: g = 0.00, k = 1). Sample size was identified as a significant moderator of treatment effects. This paper further explores clinical significance, treatment adherence, therapist time investment and moderator influences of the ICBT. The limitations of the study and recommendations for future research are thoroughly discussed.

Economic evaluation of Be a Mom, a web-based intervention to prevent postpartum depression in high-risk women alongside a randomized controlled trial.

BACKGROUND: Postpartum depression (PPD) poses significant challenges, affecting both mothers and children, with substantial societal and economic implications. Internet-based cognitive behavioral therapy interventions (iCBT) offer promise in addressing PPD, but their economic impact remains unexplored. This study aimed to evaluate the cost-utility of Be a Mom, a self-guided iCBT intervention, compared with a waiting-list control among postpartum women at high risk of PPD. METHODS: This economic evaluation was conducted alongside a 14-month randomized controlled trial adopting a societal perspective. Participants were randomized to Be a Mom (n = 542) or a waitlisted control group (n = 511). Self-report data on healthcare utilization, productivity losses, and quality-adjusted life years (QALYs) were collected at baseline, post-intervention, and 4 and 12 months post-intervention. Incremental cost-effectiveness ratios (ICERs) were calculated, and cost-effectiveness acceptability curves were generated using nonparametric bootstrapping. Sensitivity analyses were conducted to assess result robustness. RESULTS: Over 14 months, Be a Mom generated a QALY gain of 0.0184 (0.0022, 0.0346), and cost savings of EUR 34.06 (-176.16, 108.04) compared to the control group. At a willingness to pay of EUR 20,000, Be a Mom had a 97.6 % probability of cost-effectiveness. LIMITATIONS: Results have limitations due to self-selected sample, potential recall bias in self-reporting, missing data, limited follow-up, and the use of a waiting-list control group. CONCLUSIONS: This study addresses a critical gap by providing evidence on the cost-utility of an iCBT intervention tailored for PPD prevention. Further research is essential to identify scalable and cost-effective interventions for reducing the burden of PPD.

Interpersonal factors in internet-based cognitive behavioral therapy for depression: Attachment style and alliance with the program and with the therapist.

Objective This open-trial study examined effects of a culturally-adapted Hebrew version of guided internet-based cognitive behavioural therapy (ICBT) for depression. We examined therapeutic alliance with the therapist and with the programme (content) as potential predictors of outcomes. Furthermore, we examined whether anxious and avoidant attachment styles improved, although relationships were not the focus of treatment. Method: We examined alliance with therapist and alliance with programme and their time-lagged (1 week), longitudinal relationship with depression outcomes, and change in anxious and avoidant attachment during treatment. Results: Depression and insomnia improved significantly (Cohen's d: depression = 1.34, insomnia = 0.86), though dropout was relatively high (49%). Alliance with programme and with the therapist predicted adherence and dropout, whereas only alliance with therapist predicted symptom improvement. Avoidant attachment decreased over treatment whereas anxious attachment did not. Conclusion: A culturally-adapted version of ICBT for depression showed that alliance with therapist and alliance with programme both can play an important role in its effectiveness: alliance with programme and the therapist drive adherence and dropout and alliance with therapist is related to symptom improvement. Although the focus of treatment is not interpersonal, avoidant attachment style can improve following ICBT.

Layperson-Supported, Web-Delivered Cognitive Behavioral Therapy for Depression in Older Adults: Randomized Controlled Trial.

BACKGROUND: Depression is the most prevalent mental health condition in older adults. However, not all evidence-based treatments are easily accessible. Web-delivered cognitive behavioral therapy (wCBT) facilitated by laypersons is a viable treatment alternative. OBJECTIVE: This randomized controlled trial aims to evaluate the efficacy of a novel wCBT program, Empower@Home, supported by trained lay coaches, against a waitlist attention control. Empower@Home is among the very few existing wCBT programs specifically designed for older adults. The primary objective was to assess the efficacy of the intervention compared with attention control. The secondary objective was to evaluate the program's impact on secondary psychosocial outcomes and explore potential change mechanisms. METHODS: Older adults (N=70) were recruited via web-based research registries, social media advertisements, and community agency referrals and randomly assigned to either the intervention or control group in a 1:1 allocation ratio. The intervention group received access to Empower@Home, which included 9 web-delivered self-help lessons and weekly telephone coaching sessions by a trained layperson over 10 weeks. The control group received weekly friendly phone calls and depressive symptom monitoring. The primary clinical outcome was the severity of depressive symptoms assessed using the Patient Health Questionnaire-9. The secondary clinical outcomes included anxiety, anger, social isolation, insomnia, pain intensity, and quality of life. Linear mixed modeling was used to determine the treatment effects on depression, and 2-tailed t tests were used to assess within-group changes and between-group differences. RESULTS: Most participants in the intervention group completed all 9 sessions (31/35, 89%). The usability and acceptability ratings were excellent. The intervention group had a large within-group change in depressive symptoms (Cohen d=1.22; P<.001), whereas the attention control group experienced a medium change (Cohen d=0.57; P<.001). The between-group effect size was significant, favoring the intervention group over the control group (Cohen d=0.72; P<.001). In the linear mixed model, the group-by-time interaction was statistically significant (b=-0.68, 95% CI -1.00 to -0.35; P<.001). The treatment effects were mediated by improvements in cognitive behavioral therapy skills acquisition; behavioral activation; and satisfaction with the basic psychological needs of autonomy, competence, and relatedness. Furthermore, the intervention group showed significant within-group improvements in secondary psychosocial outcomes, including anxiety (P=.001), anger (P<.001), social isolation (P=.02), insomnia (P=.007), and pain (P=.03). By contrast, the control group did not experience significant changes in these outcome domains. However, the between-group differences in secondary outcomes were not statistically significant, owing to the small sample size. CONCLUSIONS: Empower@Home, a wCBT program supported by lay coaches, was more efficacious in reducing depressive symptoms than friendly telephone calls and depression symptom monitoring. Future studies should examine the effectiveness of the intervention in community and practice settings using nonclinician staff already present in these real-world settings as coaches. TRIAL REGISTRATION: ClinicalTrials.gov NCT05593276; https://clinicaltrials.gov/ct2/show/NCT05593276. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/44210.