Tailored vs. standardized internet-based cognitive behavior therapy for depression and comorbid symptoms: a randomized controlled trial

The health risks of generative AI-based wellness apps

Artificial intelligence (AI)-enabled chatbots are increasingly being used to help people manage their mental health. Chatbots for mental health and particularly 'wellness' applications currently exist in a regulatory 'gray area'. Indeed, most generative AI-powered wellness apps will not be reviewed by health regulators. However, recent findings suggest that users of these apps sometimes use them to share mental health problems and even to seek support during crises, and that the apps sometimes respond in a manner that increases the risk of harm to the user, a challenge that the current US regulatory structure is not well equipped to address. In this Perspective, we discuss the regulatory landscape and potential health risks of AI-enabled wellness apps. Although we focus on the United States, there are similar challenges for regulators across the globe. We discuss the problems that arise when AI-based wellness apps cross into medical territory and the implications for app developers and regulatory bodies, and we outline outstanding priorities for the field.

Transdiagnostic and tailored internet intervention to improve mental health among university students: Research protocol for a randomized controlled trial

BACKGROUND

Emerging adulthood is often associated with mental health problems. About one in three university students report symptoms of depression and anxiety that can negatively affect their developmental trajectory concerning work, intimate relationships, and health. This can interfere with academic performance, as mood and anxiety disorders are key predictors of dropout from higher education. A treatment gap exists, where a considerable proportion of students do not seek help for mood and anxiety symptoms. Offering internet interventions to students with mental health problems could reduce the treatment gap, increase mental health, and improve academic performance. A meta-analysis on internet interventions for university students showed small effects for depression and none for anxiety. Larger trials are recommended to further explore effects of guidance, transdiagnostic approaches, and individual treatment components.

METHODS

This study will offer 1200 university students in Sweden participation in a three-armed randomized controlled trial (RCT) evaluating a guided or unguided transdiagnostic internet intervention for mild to moderate depression and anxiety, where the waitlist control group accesses the intervention at 6-month follow-up. Students reporting suicidal ideation/behaviors will be excluded and referred to treatment within the existing healthcare system. An embedded study within the trial (SWAT) will assess at week 3 of 8 whether participants in the guided and unguided groups are at higher risk of failing to benefit from treatment. Those at risk will be randomized to an adaptive treatment strategy, or to continue the treatment as originally randomized. Primary outcomes are symptoms of depression and anxiety. Follow-ups will occur at post-treatment and at 6-, 12-, and 24-month post-randomization. Between-group outcome analyses will be reported, and qualitative interviews about treatment experiences are planned.

DISCUSSION

This study investigates the effects of a transdiagnostic internet intervention among university students in Sweden, with an adaptive treatment strategy employed during the course of treatment to minimize the risk of treatment failure. The study will contribute knowledge about longitudinal trajectories of mental health and well-being following treatment, taking into account possible gender differences in responsiveness to treatment. With time, effective internet interventions could make treatment for mental health issues more widely accessible to the student group.

Target-user preferences, motivations, and acceptance for a dialectical behaviour therapy smartphone application for eating disorders

PURPOSE

Evidence shows that dialectical behavioural therapy (DBT) is efficacious for eating disorders (ED), yet few people have access to specialized treatments like DBT. Translating key DBT skills for delivery via a smartphone application may broaden the dissemination of evidence-based interventions. However, prior to developing a DBT-based app, it is crucial to gather information on target-user needs and preferences. Assessing overall acceptance and identifying predictors of acceptance, informed by the UTAUT framework, is also important. This process ensures not only a demand for such an app, but also that users receive content and features tailored to their needs.

METHOD

This study aimed to understand target-user preferences of DBT-based apps for EDs by assessing willingness to engage, overall acceptance levels, and preferred functionality/content delivery modes (n = 326 symptomatic participants).

RESULTS

Eighty-eight percent indicated they would be willing to use a DBT-based ED app if it were available. Acceptance levels of a DBT app were high (64%), which was uniquely predicted by performance expectancy (perceptions of how beneficial an intervention is) and facilitating conditions (expectations of technological infrastructure and support in interventions) in path analysis. Content perceived as important to contain were emotion regulation techniques, tailored intervention strategies, and psychoeducation.

CONCLUSION

Findings generate important information about target-user preferences of a DBT-based app for EDs, highlighting necessary design principles for apps of this kind. Level of evidence Level V, cross-sectional descriptive study.

The latest developments with internet-based psychological treatments for depression

INTRODUCTION

Internet-based psychological treatments for depression have been around for more than 20 years. There has been a continuous line of research with new research questions being asked and studies conducted.

AREAS COVERED

In this paper, the author reviews studies with a focus on papers published from 2020 and onwards based on a Medline and Scopus search. Internet-based cognitive behavior therapy (ICBT) programs have been developed and tested for adolescents, older adults, immigrant groups and to handle a societal crisis (e.g. COVID-19). ICBT works in regular clinical settings and long-term effects can be obtained. Studies on different treatment orientations and approaches such as acceptance commitment therapy, unified protocol, and tailored treatments have been conducted. Effects on quality-of-life measures, knowledge acquisition and ecological momentary assessment as a research tool have been reported. Factorial design trials and individual patient data meta-analysis are increasingly used in association with internet intervention research. Finally, prediction studies and recent advances in artificial intelligence are mentioned.

EXPERT OPINION

Internet-delivered treatments are effective, in particular if therapist guidance is provided. More target groups have been covered but there are many remaining challenges including how new tools like artificial intelligence will be used when treating depression.

Psychological Treatment of Comorbid Insomnia and Depression: A Double-Blind Randomized Placebo-Controlled Trial

INTRODUCTION

Insomnia and depression are highly prevalent disorders and commonly occur together. Cognitive behavioral therapy for insomnia, CBT-I, has been shown to be effective in treating insomnia and also comorbid depression. However, it is unclear whether effects of CBT-I on depression are specific or nonspecific. Also, depressive symptoms often remain too high after CBT-I, indicating a need for improved treatments. The objective was to determine whether combining CBT-I with CBT for depression, without increasing treatment length, reduces both insomnia and depression more than CBT for depression with a placebo insomnia intervention.

METHODS

A 12-week double-blind randomized controlled trial with a 6-month follow-up in a psychiatric setting using therapist-guided internet-delivered treatments was conducted. Patients (N = 126) were diagnosed with insomnia disorder and major depression by physicians. Primary outcome measures were as follows: self-rating scales Insomnia Severity Index (ISI) and Montgomery-Åsberg Depression Rating Scale (MADRS-S).

RESULTS

The combined treatment showed specific effects on insomnia severity over the control treatment (p = 0.007) but was not more effective in reducing depression severity. Within-group effects (Cohen's d) at post and at 6 months were as follows: ISI 1.40 and 1.42 (combined treatment), 0.95 and 1.00 (control); MADRS-S 0.97 and 1.12 (combined), 0.88 and 0.89 (control).

CONCLUSIONS

CBT-I shows large specific effects on insomnia severity and is superior to control in this regard. Both treatments had similar effects on depression severity, i.e., combining CBT-I with CBT for depression did not enhance outcomes on depression compared to control. We suggest CBT-I should always be offered to patients with insomnia and depression comorbidity, possibly as the first-hand choice. Combining it with a psychological treatment for depression could be too burdening and may not be beneficial.

Tailored internet-delivered cognitive behavioral therapy for individuals experiencing psychological distress associated with climate change: A pilot randomized controlled trial

Even among people who are not directly impacted by the consequences of climate change, perceptions about the ongoing crisis can have a negative effect on mental health and well-being. However, empirical evidence on interventions aiming to provide support is currently scarce. In order to address this issue, a pilot-RCT was carried out to investigate the effects of a novel ICBT treatment program. Sixty participants (23-73 years) were recruited and randomly allocated to eight weeks of therapist-supported ICBT (n = 30) or a wait-list control condition (n = 30). Measures of depressive symptoms, stress, and quality of life were used as primary outcomes, while measures of anxiety, insomnia, climate change-related distress, pro-environmental behaviour, and alcohol use were used as secondary outcomes. The treatment group had moderate to large between-group effects compared to the waitlist group on measures of depression (d = 0.87), stress (d = 0.76), quality of life (d = 0.79) and climate change-related distress (d = 0.79). There were no significant between-group differences on the other outcome measures. The results from this pilot-RCT indicate that individually tailored ICBT can be an effective way to reduce psychological distress associated with climate change without reducing pro-environmental behaviour.

Tailored internet-based psychological treatment for psychological problems during the COVID-19 pandemic: A randomized controlled trial

The COVID-19 pandemic influence mental health in both infected and non-infected populations. In this study we examined if individually tailored internet-based cognitive behavioral therapy (ICBT) could be an effective treatment for psychological symptoms related to the pandemic. Following recruitment we included 76 participants who were randomized to either a treatment group (n = 37) or a waitlist control group (n = 39). The treatment group received 8 modules (out of 16 possible) during 8 weeks with weekly therapist support. We collected data on symptoms of depression, experienced quality of life, anxiety, stress, anger, insomnia, PTSD, and alcohol use before, after the treatment and at one year follow-up. Using multiple regression analysis, group condition was found to be a statistically significant predictor for a decrease, favoring the treatment group, in symptoms of depression, insomnia, and anger with small to moderate effect sizes. The improvements remained at one year follow-up. Group condition did not significantly predict changing symptoms regarding experienced quality of life, anxiety, stress, PTSD and alcohol use. Findings indicate that ICBT is an effective intervention for some psychological symptoms associated with the COVID-19 pandemic. There is a need for further studies on mechanisms of change and on tailored ICBT for problems associated with crises like the pandemic.

Individually Tailored and Culturally Adapted Internet-Based Cognitive Behavioral Therapy for Arabic-Speaking Youths With Mental Health Problems in Sweden: Qualitative Feasibility Study

BACKGROUND

Most forcibly displaced refugees in Sweden originate from the Arab Republic of Syria and Iraq. Approximately half of all refugees are aged between 15 and 26 years. This particular group of youths is at a higher risk for developing various mental disorders. However, low use of mental health services across Europe has been reported. Previous research indicates that culturally adapted psychological interventions may be suitable for refugee youths. However, little is known about the feasibility, acceptability, and efficacy of such psychological interventions.

OBJECTIVE

This study aimed to explore the feasibility, acceptability, and preliminary efficacy of an individually tailored and culturally adapted internet-based cognitive behavioral therapy for Arabic-speaking refugees and immigrant youths in Sweden.

METHODS

A total of 17 participants were included to participate in an open trial study of an individually tailored and culturally adapted internet-based cognitive behavioral therapy targeting common mental health problems. To assess the intervention outcome, the Hopkins Symptom Checklist was used. To explore the acceptability of the intervention, in-depth interviews were conducted with 12 participants using thematic analysis. Feasibility was assessed by measuring treatment adherence and by calculating recruitment and retention rates.

RESULTS

The intervention had a high dropout rate and low feasibility. Quantitative analyses of the treatment efficacy were not possible because of the high dropout rate. The qualitative analysis resulted in 3 overarching categories: experiences with SahaUng (the treatment), attitudes toward psychological interventions, and personal factors important for adherence.

CONCLUSIONS

The findings from this study indicate that the feasibility and acceptability of the current intervention were low and, based on the qualitative analysis, could be increased by a refinement of recruitment strategies, further simplification of the treatment content, and modifications to the cultural adaptation.

Effectiveness of online cognitive behavioural therapy on quality of life in adults with depression: A systematic review

WHAT IS KNOWN ON THE SUBJECT

Depression is a leading cause of disability worldwide that negatively impacts quality of life. Talk therapy such as cognitive behavioural therapy is an effective treatment for depression. The Internet is an important tool for mental healthcare delivery. Internet-delivered or online talk therapy interventions are associated with lower costs and improved accessibility. Current reviews do not address the effectiveness of Internet-delivered cognitive behavioural therapy (iCBT) on quality of life (QoL).

WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE

Interventions for iCBT have better QoL improvements for individuals with greater depressive symptom severity, females, young adults and individuals with complex comorbid disorders. Support from a healthcare provider for iCBT interventions have better outcomes than self-guided therapy interventions. Tailoring the iCBT intervention to the specialized needs of the population is beneficial.

WHAT ARE THE IMPLICATIONS FOR PRACTICE

There is potential to address treatment gaps for managing the care of individuals with depression. Utilizing iCBT promotes the integration of accessible mental healthcare in clinical settings. Healthcare providers can have a more comprehensive approach to delivering iCBT by considering adaptations relevant to the clinical population being treated.

ABSTRACT

INTRODUCTION: Major depressive disorder (MDD) is a leading cause of disability resulting from social, psychological and biological factors affecting quality of life (QoL). Cognitive behavioural therapy (CBT) is an effective psychotherapy for MDD. Internet-delivered CBT (iCBT) is associated with lower costs and improved accessibility.

AIM

We aimed to examine the effectiveness of iCBT on QoL in adults with depression.

METHOD

PubMed, Embase and PsycINFO were searched between 2010 and 2022. Inclusion criteria were experimental designs, adults ≥18 years old, depression diagnosis or valid self-report measure, iCBT intervention; and QoL outcome. Exclusion criteria were studies without depression analysis and intellectual disabilities or psychosis.

RESULTS

Seventeen articles were included, with a negative correlation between depression severity and QoL. Sex, age and physical comorbidity positively influenced effectiveness. Depressive severity, dysfunctional attitude and negative thinking were predictors and moderators of QoL. Clinician support can impact social interactions and sense of belonging.

DISCUSSION

Internet-delivered cognitive behavioural therapy is effective for improving QoL in adults with MDD. Severe depression, females, younger age and comorbid disorders were associated with greater QoL improvements.

IMPLICATIONS FOR PRACTICE

The findings suggest iCBT could address depression treatment gaps related to improving QoL. Utilizing iCBT potentially improves the care continuum for individuals with complex disorders.

Effects of digital psychotherapy for depression and anxiety: A systematic review and bayesian network meta-analysis

OBJECTIVE

To evaluate the effectiveness of digital psychotherapies for depression and anxiety. We conducted a systematic review and network meta-analyses (NMA) to make comparisons of digital psychotherapies.

METHODS

A bayesian NMA was conducted in this study. The databases including PubMed, Embase, Web of Science, the Cochrane Central Register of Controlled Trials and CINAL were searched for all eligible randomized controlled trials (RCTs) published from Jan 1, 2012 to Oct 1, 2022. We used the Cochrane Collaboration's Risk of bias tool for quality assessment. The primary outcomes were set as a standardized mean difference model in efficacy to describe continuous outcomes. We used STATA and WinBUGS to conduct a bayesian network meta-analysis of all interventions based on a random-effects model. This study was registered with PROSPERO, number CRD42022374558.

RESULTS

From the retrieved 16,750 publications, we included 72 RCTs (13,096 participants) with the overall medium quality and above. In terms of depression scale, cognitive behavioral therapy (CBT) was more effective than TAU (SMDs 0.53) and NT (SMDs 0.98). In terms of anxiety scale, CBT (SMDs 0.68; SMDs 0.72) and exercise therapy (ERT) (SMDs 1.01; SMDs 1.05) were more effective than TAU and NT.

LIMITATIONS

Uneven quality of literature, simple network, and subjective judgment.

CONCLUSION

Based on NMA results, we suggest that CBT, which is the most commonly used digital technology, should be preferred among digital psychotherapy for relieving depression and anxiety symptoms. Digital exercise therapy is an effective strategy to relieve some anxiety problems in the context of COVID-19.

The effect of internet-delivered cognitive behavioral therapy for depression and anxiety on quality of life: A meta-analysis of randomized controlled trials

Although numerous studies have examined the effects of internet-delivered cognitive behavioral therapy (iCBT) for depression and anxiety on quality of life, no meta-analysis has yet been conducted to integrate the results of these studies. We conducted systematic searches in PubMed, Cochrane, and PsycInfo, which included terms for treatment type, modality of delivery, condition, and main outcome. We included studies that met the following inclusion criteria: (a) randomized controlled trials, (b) patients allocated to some form of the control condition, (c) patients receiving some type of treatment of anxiety and/or depression involving Internet-delivered Cognitive Behavioral Therapy, (d) use of a validated outcome measure assessing the level of quality of life, (e) conducted with adult participants diagnosed with anxiety disorder and/or unipolar depression, (f) papers written in English. We analyzed 40 randomized controlled trials with a total of 4289 participants that met inclusion criteria. The pooled between-group effect size for the quality of life overall score was small (g = 0.35, 95 % CI: 0.26-0.44, p = .0001), favoring iCBT over the control conditions. Regarding the distinct quality of life domains measured by the World Health Organization Quality of Life Assessment, a statistically significant difference between iCBT and control conditions was found only for the physical health domain (g = 0.56, 95 % CI: 0.06-1.07, p = .029), in favor of iCBT. In both cases, heterogeneity was moderate. While the effect on the quality of life is small (the overall quality of life score) to moderate (the physical health domain score), we conclude that iCBT for depression and anxiety may be a promising approach for improving the quality of life of patients.

Internet-delivered cognitive behavioural therapy for symptoms of PTSD among public safety personnel: Initial outcomes of an open cohort preference trial of transdiagnostic and disorder-specific therapy

Public safety personnel (PSP) face high rates of mental health problems and many barriers to care. Initial outcomes of transdiagnostic internet-delivered cognitive behavioural therapy (ICBT) tailored for PSP are promising, but prior research has not evaluated outcomes of PTSD-specific ICBT among PSP or PSP's preferences for transdiagnostic or PTSD-specific ICBT. The current paper presents the initial outcomes (N = 150) of a mixed-methods observational study designed to (a) investigate preferences for transdiagnostic or PTSD-specific ICBT among PSP with elevated symptoms of PTSD and/or a primary concern with PTSD symptoms and (b) explore potential differences in client engagement, satisfaction, and symptom changes between the two forms of ICBT. PSP completed questionnaires before and after their preferred ICBT program. Mixed-methods analyses included generalized estimating equations, descriptive statistics, and inductive conventional qualitative content analysis. More clients (n = 85; 57 %) selected transdiagnostic ICBT than PTSD-specific ICBT (n = 65; 43 %), but the difference in the number of clients who selected each course was not statistically significant. Clients in both ICBT programs reported similar and favorable treatment satisfaction (e.g., 98 % would recommend the course to a friend), treatment engagement (i.e., 69 % accessed at least four of the five lessons), and pre-post improvement in symptoms (e.g., Hedges' g = 0.81 for reduction in PTSD symptom). Transdiagnostic ICBT resulted in greater reductions in symptoms of panic disorder than PTSD-specific ICBT. Qualitative analyses showed similarities across the ICBT programs in client feedback. The current study provides further evidence supporting the use and outcomes of ICBT for PSP in both transdiagnostic and disorder-specific formats. Implications for the literatures on PSP mental health and ICBT, as well as practical recommendations, are discussed.

Assessing Patient Adherence to and Engagement With Digital Interventions for Depression in Clinical Trials: Systematic Literature Review

BACKGROUND

New approaches to the treatment of depression are necessary for patients who do not respond to current treatments or lack access to them because of barriers such as cost, stigma, and provider shortage. Digital interventions for depression are promising; however, low patient engagement could limit their effectiveness.

OBJECTIVE

This systematic literature review (SLR) assessed how participant adherence to and engagement with digital interventions for depression have been measured in the published literature, what levels of adherence and engagement have been reported, and whether higher adherence and increased engagement are linked to increased efficacy.

METHODS

We focused on a participant population of adults (aged ≥18 years) with depression or major depressive disorder as the primary diagnosis and included clinical trials, feasibility studies, and pilot studies of digital interventions for treating depression, such as digital therapeutics. We screened 756 unique records from Ovid MEDLINE, Embase, and Cochrane published between January 1, 2000, and April 15, 2022; extracted data from and appraised the 94 studies meeting the inclusion criteria; and performed a primarily descriptive analysis. Otsuka Pharmaceutical Development & Commercialization, Inc (Princeton, New Jersey, United States) funded this study.

RESULTS

This SLR encompassed results from 20,111 participants in studies using 47 unique web-based interventions (an additional 10 web-based interventions were not described by name), 15 mobile app interventions, 5 app-based interventions that are also accessible via the web, and 1 CD-ROM. Adherence was most often measured as the percentage of participants who completed all available modules. Less than half (44.2%) of the participants completed all the modules; however, the average dose received was 60.7% of the available modules. Although engagement with digital interventions was measured differently in different studies, it was most commonly measured as the number of modules completed, the mean of which was 6.4 (means ranged from 1.0 to 19.7) modules. The mean amount of time participants engaged with the interventions was 3.9 (means ranged from 0.7 to 8.4) hours. Most studies of web-based (34/45, 76%) and app-based (8/9, 89%) interventions found that the intervention group had substantially greater improvement for at least 1 outcome than the control group (eg, care as usual, waitlist, or active control). Of the 14 studies that investigated the relationship between engagement and efficacy, 9 (64%) found that increased engagement with digital interventions was significantly associated with improved participant outcomes. The limitations of this SLR include publication bias, which may overstate engagement and efficacy, and low participant diversity, which reduces the generalizability.

CONCLUSIONS

Patient adherence to and engagement with digital interventions for depression have been reported in the literature using various metrics. Arriving at more standardized ways of reporting adherence and engagement would enable more effective comparisons across different digital interventions, studies, and populations.

Internet-Delivered, Therapist-Assisted Treatment for Anxiety and Depression in Patients with Cardiovascular Disease: Evidence-Base and Challenges

PURPOSE OF REVIEW

This review focuses on the efficacy of internet-based psychological interventions for patients with cardiovascular disease (CVD) and comorbid anxiety and depression. Anxiety and depression comprise barriers for treatment adherence and are associated with poorer patient-reported and clinical outcomes, and greater health care costs.

RECENT FINDINGS

Internet-based, therapist-assisted interventions targeting anxiety and depression can be as efficacious as face-to-face therapy and may have some advantages, as patients can do it from their own laptop/smartphone at home at a time of their convenience, which may facilitate a better integration in their lives. To enhance the field of internet-based therapy for patients with CVD, we need to involve patients in the development of interventions, focus on developing standards for adherence and assessment of fidelity, and assess and augment health literacy in patients to safeguard equality in health care.

Free choice of treatment content, support on demand and supervision in internet-delivered CBT for adults with depression: A randomized factorial design trial

Even if much is known regarding the effects of internet-delivered cognitive behaviour therapy (ICBT) for depression there are several topics that have not been studied. In this factorial design trial with 197 participants we investigated if clients in ICBT could select treatment modules themselves based on a selection of 15 tailored treatment modules developed for use in ICBT for depression. We contrasted this against clinician-tailored module selection. We also investigated if support on demand (initiated by the client) could work as well as scheduled support. Finally, we tested if clients that were mentioned in supervision would improve more than clients not mentioned (with the exception of acute cases). The treatment period lasted for 10 weeks, and we measured effects at post-treatment and two-year follow-up. Measures of depression and secondary outcomes were collected at pre-treatment, post-treatment and two-year follow-up. Overall, within-group effects were large across conditions (e.g., d = 1.73 on the BDI-II). We also found a small but significant difference in favour of self-tailored treatment over clinician-tailored (d = 0.26). Within-group effects for the secondary measures were all moderate to large including a test of knowledge about CBT. The other two contrasts "support on demand" and "supervision" yielded mostly non-significant differences, with the exception of a larger dropout rate in the support on demand condition. There were few negative effects (2.2%). Effects were largely maintained at a two-year follow-up. We conclude that clients can choose treatment modules and that support on demand may work. The role of supervision is not yet clear as advice can be transferred across clients.

Apparent Lack of Benefit of Combining Repetitive Transcranial Magnetic Stimulation with Internet-Delivered Cognitive Behavior Therapy for the Treatment of Resistant Depression: Patient-Centered Randomized Controlled Pilot Trial

Background: Treatment-resistant depression (TRD) is considered one of the major clinical challenges in the field of psychiatry. An estimated 44% of patients with major depressive disorder (MDD) do not respond to two consecutive antidepressant therapies, and 33% do not respond to up to four antidepressants. Over 15% of all patients with MDD remain refractory to any treatment intervention. rTMS is considered a treatment option for patients with TRD. Likewise, iCBT is evidence-based, symptom-focused psychotherapy recommended for the treatment of TRD. Objective: This study aimed to evaluate the initial comparative clinical effectiveness of rTMS treatment with and without iCBT as an innovative intervention for the treatment of participants diagnosed with TRD. Methods: This study is a prospective two-arm randomized controlled trial. Overall, 78 participants diagnosed with TRD were randomized to one of two treatment interventions: rTMS sessions alone and rTMS sessions plus iCBT. Participants in each group were made to complete evaluation measures at baseline, and 6 weeks (discharge) from treatment. The primary outcome measure was baseline to six weeks change in mean score for the 17-item Hamilton depression rating scale (HAMD-17). Secondary outcomes included mean baseline to six-week changes in the Columbia suicide severity rating scale (CSSRS) for the rate of suicidal ideations, the QIDS-SR16 for subjective depression, and the EQ-5D-5L to assess the quality of health in participants. Results: A majority of the participants were females 50 (64.1%), aged ≥ 40 39 (50.0%), and had college/university education 54 (73.0%). After adjusting for the baseline scores, the study failed to find a significant difference in the changes in mean scores for participants from baseline to six weeks between the two interventions under study on the HAMD-17 scale: F (1, 53) = 0.15, p = 0.70, partial eta squared = 0.003, CSSRS; F (1, 56) = 0.04 p = 0.85, partial eta squared = 0.001, QIDS-SR16 scale; F (1, 53) = 0.04 p = 0.61, partial eta squared = 0.005, and EQ-5D-VAS; F (1, 51) = 0.46 p = 0.50, and partial eta squared = 0.009. However, there was a significant reduction in means scores at week six compared to baseline scores for the combined study population on the HAMD-17 scale (42%), CSSRS (41%), QIDS-SR16 scale (35%), and EQ-VAS scale (62%). Conclusion: This study did not find that combined treatment of TRD with rTMS + iCBT (unguided) was superior to treatment with rTMS alone. Our findings do not support the use of combined treatment of rTMS + iCBT for the management of TRD disorders.

eHealth to Improve Psychological Functioning and Self-Management of People With Chronic Kidney Disease: A Randomized Controlled Trial

OBJECTIVE

Psychological distress is common among patients with chronic kidney disease and can interfere with disease self-management. We assessed the effectiveness of the personalized E-GOAL electronic health care pathway with screening and cognitive-behavioral therapy including self-management support, aimed to treat psychological distress and facilitate self-management among people with chronic kidney disease not on dialysis ( N = 121).

METHODS

Primary outcome of the open two-arm parallel randomized controlled trial in four Dutch hospitals was psychological distress at posttest directly after the intervention and at 3-month follow-up. Secondary outcomes were physical and mental health-related quality of life, self-efficacy, chronic disease self-management, and personalized outcomes, that is, perceived progress compared with the previous time point on functioning (e.g., mood or social functioning) and self-management (e.g., dietary or medication adherence) outcomes that were prioritized by each individual.

RESULTS

Linear mixed-effects analyses showed no significant time-by-group interaction effects for psychological distress, health-related quality of life, self-efficacy, and chronic condition self-management, whereas analyses of covariance showed significantly more perceived progress in the intervention group at posttest on personally prioritized areas of functioning ( b = 0.46, 95% confidence interval = 0.07-0.85) and self-management ( b = 0.55, 95% confidence interval = 0.16-0.95), with Cohen d values of 0.46 and 0.54 (medium effects), respectively. Effects on personalized outcomes were maintained at follow-up.

CONCLUSIONS

Compared with regular care only, the electronic health intervention did not reduce psychological distress, whereas personalized outcomes did improve significantly after intervention. Future studies could consider personalized outcomes that reflect individually relevant areas and treatment goals, matching person-tailored treatments.

TRIAL REGISTRATION

Registered at the Netherlands Trial Register with study number NTR7555 ( https://trialsearch.who.int/Trial2.aspx?TrialID=NTR7555 ).

A Web-Based Self-help Intervention for Coping With the Loss of a Partner: Protocol for Randomized Controlled Trials in 3 Countries

Background

The death of a partner is a critical life event in later life, which requires grief work as well as the development of a new perspective for the future. Cognitive behavioral web-based self-help interventions for coping with prolonged grief have established their efficacy in decreasing symptoms of grief, depression, and loneliness. However, no study has tested the efficacy for reducing grief after losses occurring less than 6 months ago and the role of self-tailoring of the content.

Objective

This study aims to evaluate the clinical efficacy and acceptance of a web-based self-help intervention to support the grief process of older adults who have lost their partner. It will compare the outcomes, adherence, and working alliance in a standardized format with those in a self-tailored delivery format and investigate the effects of age, time since loss, and severity of grief at baseline as predictors. Focus groups to understand user experience and a cost-effectiveness analysis will complement the study.

Methods

The study includes 3 different randomized control trials. The trial in Switzerland comprises a waitlist control group and 2 active arms consisting of 2 delivery formats, standardized and self-tailored. In the Netherlands and in Portugal, the trials follow a 2-arm design that will be, respectively, complemented with focus groups on technology acceptance and cost-effectiveness analysis. The main target group will consist of adults aged >60 years from the general population in Switzerland (n≥85), the Netherlands (n≥40), and Portugal (n≥80) who lost their partner and seek help for coping with grief symptoms, psychological distress, and adaptation problems in daily life. The trials will test the intervention’s clinical efficacy for reducing grief (primary outcome) and depression symptoms and loneliness (secondary outcomes) after the intervention. Measurements will take place at baseline (week 0), after the intervention (week 10), and at follow-up (week 20).

Results

The trials started in March 2022 and are expected to end in December 2022 or when the needed sample size is achieved. The first results are expected by January 2023.

Conclusions

The trials will provide insights into the efficacy and acceptance of a web-based self-help intervention among older adults who have recently lost a partner. Results will extend the knowledge on the role of self-tailoring, working alliance, and satisfaction in the effects of the intervention. Finally, the study will suggest adaptations to improve the acceptance of web-based self-help interventions for older mourners and explore the cost-effectiveness of this intervention. Limitations include a self-selective sample and the lack of cross-cultural comparisons.

Trial Registration

Switzerland: ClinicalTrials.gov NCT05280041; https://clinicaltrials.gov/ct2/show/NCT05280041; Portugal: ClinicalTrials.gov NCT05156346; https://clinicaltrials.gov/ct2/show/NCT05156346

International Registered Report Identifier (IRRID)

PRR1-10.2196/37827

Online psychosocial interventions for improving mental health in people during the COVID-19 pandemic: A systematic review and meta-analysis

BACKGROUND

During the COVID-19 pandemic, interventions for public mental health were mostly delivered through online modalities. Although many studies have explored the effectiveness of online psychosocial interventions through randomized controlled trials, there is a lack of quantitative synthesis of the effectiveness of online psychosocial interventions and an examination of their overall application.

OBJECTIVE

To understand the commonly used psychosocial interventions during the COVID-19 pandemic and the effectiveness of the interventions.

METHODS

Risk bias was assessed in the included studies according to the Cochrane Collaboration criteria, and data from post-test and follow-up were combined for standardized mean differences using Stata 16.0 software, and sources of heterogeneity were explored by subgroup analysis, and risk bias was assessed in the included studies using Review Manager 5.4 software. The study was written in strict accordance with PRISMA specifications, and registration was completed on the PROSPERO platform (CRD42022302917).

RESULTS

The online psychosocial intervention had an ameliorating effect on anxiety (SMD = -0.78), depression (SMD = -0.80), and insomnia (SMD = -0.19) in the public during the COVID-19 pandemic, was ineffective for the intervention on stress, and the effectiveness of the intervention on depression continued at follow-up. Subgroup analyses showed that the type of intervention, intervention form, Duration of intervention, and setting of the control group influenced the trial results to some extent, with cognitive behavioral therapy being the most effective intervention for anxiety and depressive symptoms, self-help interventions being more effective than interventions with therapist interventions, and 1-4 week interventions being more effective than 5-8 week interventions. Due to the limited number of studies included in the analysis and variability in quality, more randomized controlled trials are needed to test the findings.

CONCLUSION

Online psychosocial interventions can be effective in improving symptoms of anxiety, depression, stress, and insomnia in the public during the COVID-19 pandemic. However, additional randomized controlled trial studies are needed to determine which types of interventions are more appropriate for which populations and how they can be implemented to achieve better intervention outcomes.

Guided Internet-Delivered Treatment for Depression: Scoping Review

BACKGROUND

Studies on guided internet-delivered treatment have demonstrated promising results for patients with depressive disorder.

OBJECTIVE

The aim of this study was to provide an overview of this research area and identify potential gaps in the research.

METHODS

In this scoping review, web-based databases were used to identify research papers published between 2010 and 2022 where guided internet-delivered treatment was administered to participants with depressive disorders, a standardized rating scale of depressive symptoms was used as the primary outcome measure, and the treatment was compared with a control condition.

RESULTS

A total of 111 studies were included, and an overview of the studies was provided. Several gaps in the research were identified regarding the design of the studies, treatments delivered, participant representation, and treatment completion.

CONCLUSIONS

This review provides a comprehensive overview of the research area, and several research gaps were identified. The use of other designs and active control conditions is recommended. Future studies should provide access to treatment manuals, and more replications should be conducted. Researchers should aim to include underrepresented populations and provide reports of comorbidities. Definitions of adequate dosage, reports of completion rates, and reasons for treatment dropout are recommended for future studies.

Study protocol for a randomized controlled trial evaluating the effectiveness of an internet-based self-help intervention to cope with psychological distress due to COVID-19 in the Italian general population: the RinasciMENTE project

BACKGROUND

This study aims to evaluate the feasibility and effectiveness of the RinasciMENTE program, an Internet-based self-help intervention based on cognitive behavioral therapy (CBT) principles and techniques in supporting individuals experiencing psychological impairments during the COVID-19 pandemic. A randomized controlled trial (RCT) design with random allocation at the level of individual will be conducted to compare the impact of the RinasciMENTE program with a waiting list control in improving the psychological functioning of the general population during the COVID-19 pandemic.

METHODS

A minimum sample of 128 participants experiencing mild/subthreshold levels of psychological symptoms during the COVID-19 pandemic will be recruited. After the initial screening, participants will be randomly assigned to either the experimental group or the control condition. The program will last 2 months, during which participants will receive 8 weekly CBT treatment modules. The impact of the RinasciMENTE program on selected primary and secondary psychological outcomes will be tested at the end of the intervention (2 months) and 6- and 12-month follow-ups.

DISCUSSION

We expect people to show an increased level of psychological functioning and to acquire the skills and self-confidence necessary to deal with the psychological consequences of the COVID-19 outbreak and its related social isolation during and following the pandemic.

TRIAL REGISTRATION

ClinicalTrials.gov NCT0497903 Registered on 28 May 2021.

Motive-Oriented, Personalized, Internet-Based Interventions for Depression: Nonclinical Experimental Study

Background

The low level of adherence in internet-based self-help interventions for depression suggests that in many existing programs, the motivational fit between the program and the user is unsatisfactory (eg, the user seeks autonomy, but the program provides directive guidance). Personalized, motive-oriented, self-help interventions could enable participants who interact with a program and its contents to have more engaging and less aversive experiences and thus increase adherence.

Objective

In an experimental study with a nonclinical analogue sample, we aimed to test the hypotheses that a better motivational person-program fit is linked with higher anticipated adherence, working alliance, and satisfaction with the program.

Methods

Motivational person-program fit was examined with respect to the 2 contrasting motives being autonomous and being supported. The hypotheses were tested by specifically varying the motivational person-program fit in a nonclinical sample (N=55), where participants were asked to work on, and subsequently evaluate, a limited set of individual pages of a self-help program with guidance (in the form of text messages) for depression. The sections of the self-help program were redesigned to either particularly address the autonomy motive or the support motive. For the quasi-experimental variation of the motivational person-program characteristics, we divided the 55 participants into 2 groups (autonomy group: n=27, 49%; support group: n=28, 51%) by screening method (using the Inventory of Approach and Avoidance Motivation), corresponding to the 2 motives. Both groups evaluated (in randomized order) 2 excerpts of the program—one that matched their motive (fit) and one that was contrary to it (no fit). Immediately after the evaluation of each excerpt, anticipated adherence, working alliance, and treatment satisfaction were assessed.

Results

Regarding being supported, the satisfaction with or violation of this motive had an impact on (optimal) anticipated adherence as well as working alliance and satisfaction with the intervention; a congruent person-program fit resulted in significantly higher anticipated adherence (t₂₇=3.00; P=.006), working alliance (t₂₇=3.20; P=.003), and satisfaction (t₂₇=2.86; P=.008) than a noncongruent fit. However, a similar impact could not be found for the motive being autonomous. Several correlations were found that supported our hypotheses (eg, for the congruent person-program fit autonomy motive and autonomy group, support satisfaction negatively correlated with optimal anticipated adherence).

Conclusions

This first experimental study gives reason to assume that motive orientation may have a positive influence on adherence, working alliance, and satisfaction in internet-based self-help interventions for depression and other mental disorders. Future studies should conduct randomized controlled trials with clinical samples and assess clinical outcomes.

The Use of Telehealth in Depression Treatment during the Crisis Caused by COVID-19

Throughout the COVID-19 pandemic, there has been increased interest in telehealth as a means of providing care for depression. In this article, we provide an overview of telehealth utilization for the treatment of depression and provide some insight into the rapid shift made to quickly implement these telehealth services into our everyday practices due to COVID-19 personal distancing requirements. We review the application of telehealth in the treatment of depression during the COVID-19 pandemic. The multiple advantages and disadvantages of telehealth in treatment of depression are summarized through the literature, and we analyze the methods to improve the effect and quality of telehealth in depression treatment. It has been highlighted in the current research that against its proven capacity for convenience, its relative cheapness, and its ability to overcome geographic barriers, telehealth has its own shortfalls, including disparities in rural-urban infrastructure and an alleged inability to be exhaustive when intensive interventions are needed. Recommendations for the improvement of telehealth during the COVID-19 pandemic also presuppose that it is infrastructure and human resource intensive and that short-term improvements in its efficiency are largely dependent on the creativity and resourcefulness of physicians to provide custom solutions for patients.

E-HEalth treatment in Long-term Dialysis (E-HELD): study protocol for a multicenter randomized controlled trial evaluating personalized Internet-based cognitive-behavioral therapy in dialysis patients

Background

Kidney failure and dialysis treatment have a large impact on a patient’s life. Patients experience numerous, complex symptoms and usually have multiple comorbid conditions. Despite the multitude of problems, patients often have priorities for improvement of specific aspects of their functioning, which would be helpful for clinicians to become informed of. This highlights a clear need for patient-centered care in this particular patient group, with routine screening as a vital element to timely recognize symptoms and tailored treatment to match individual patients’ needs and priorities. By also providing feedback on patient’s screening results to the patient itself, the patient is empowered to actively take control in one’s mostly uncontrollable disease process. The current paper describes the study design of a multicenter randomized controlled trial evaluating the effectiveness of the “E-HEealth treatment in Long-term Dialysis” (E-HELD) intervention. This therapist-guided Internet-based cognitive-behavioral therapy (ICBT) intervention is focused on and personalized to the myriad of problems that dialysis patients experience and prioritize.

Methods

After a screening procedure on adjustment problems, 130 eligible dialysis patients will be randomized to care as usual or the E-HELD intervention. Patients will complete questionnaires on distress (primary outcome measure), several domains of functioning (e.g., physical, psychological, social), potential predictors and mediators of treatment success, and the cost-effectiveness of the intervention, at baseline, 6-month follow-up, and 12-month follow-up. In addition, to take account of the personalized character of the intervention, the Personalized Priority and Progress Questionnaire (PPPQ) will be administered which is a personalized instrument to identify, prioritize, and monitor individual problems over time.

Discussion

The present study design will provide insight in the effectiveness of tailored ICBT in patients with kidney failure who are treated with dialysis. When proven effective, the screening procedure and the subsequent ICBT intervention could be implemented in routine care to detect, support, and treat patients struggling with adjustment problems.

Trial registration

NL63422.058.17 [Registry ID: METC-LDD]

NL7160 [Netherlands Trial Register; registered on 16 July 2018]

Tailored internet-based cognitive behavioral therapy for individuals with chronic pain and comorbid psychological distress: a randomized controlled trial

Comorbid psychological problems are commonly related to chronic pain but addressing heterogeneous comorbidities in traditional settings is often difficult. Delivering individually tailored treatment using the internet could be a viable alternative. The present study investigates whether a guided, individually tailored and internet-delivered cognitive behavioral therapy (ICBT) could improve mood and reduce disability in individuals suffering from chronic pain and comorbid psychological distress.Participants were recruited from a pain clinic and randomized to either ICBT or waiting list. The participants (n = 187) individually tailored treatments included 6-13 modules targeting different types of psychological distress. Modules were designed to be completed weekly, and feedback was provided by clinicians. Participants completed an average of 5.1 (49.7%) modules, with 22.9% completing all assigned modules. Intention-to-treat analyses showed significantly larger improvements in depression, disability, pain acceptance, catastrophizing, and quality of life in the ICBT-group compared to the control group. Between-group effect sizes were very small or small at post for the primary outcomes depression (d = 0.18) and pain interference (d = 0.22). Other effect sizes ranged from very small to small, with the largest effect being improvements in pain acceptance (d = 0.3). All significant changes were stable at 12-month follow up.

Changes of symptoms of eating disorders (ED) and their related psychological health issues during the COVID-19 pandemic: a systematic review and meta-analysis

BACKGROUND

The COVID-19 pandemic and its related social restrictions have profoundly affected people's mental health. It can be assumed that symptomatic behaviors and mental health of individuals with eating disorders (ED) deteriorated during this time. To get a thorough overview, we conducted a systematic review and meta-analysis with the following aims: First, to provide a comprehensive overview of symptoms of ED during the COVID-19-related confinement; second, to identify psychological mechanisms which impacted the emergence and maintenance of ED symptoms; third, to describe changes of daily routine and changes of access to healthcare in individuals with ED during confinement.

METHODS

We searched Embase, PubMed, and Scopus databases for observational studies published between January 1st, 2020, to July 1st, 2021, which investigated the symptomatology of ED during the COVID-19 pandemic.

RESULTS

After the screening, 13 studies with 7848 participants were included in the present systematic review and meta-analysis. The overall pooled prevalence of exacerbation of binge eating, food restriction, purging behaviors, and concerns about food intake in the pooled sample of 7848 was 59.65% (95% CI: 49.30%; 69.60%), and the overall prevalence of improved symptoms of ED in the pooled sample of 741 individuals was 9.37% (95% CI: 3.92%; 16.57%). Furthermore, COVID-19-related social restrictions negatively impacted the psychological health, daily routines, and physical activity of individuals with ED. More specifically, symptoms of anxiety and depression related to ED were increased significantly over time. However, there were also positive aspects to the COVID-19 pandemic. The main positive consequences included more emotional support from the family, less pressure to engage in social activities, and more flexible meal planning. Individuals with ED reported having difficulties getting access to healthcare centers and using telemedicine. They also found a hard time communicating via online sessions.

CONCLUSIONS

According to our interpretation, based on the data included in the systematic review and meta-analysis, the COVID-19 pandemic and its related social restrictions detrimentally impacted the mental health of majority of individuals with ED. Limited and impaired access to healthcare interventions appeared to have further exacerbated mental health issues of individuals with ED. Given this background, it seems that individuals with ED demand more attention during the COVID-19 crisis, and it is necessary to ensure that their course of treatment remains uninterrupted.

Consulting the Oracle: A Delphi study for determining parameters for a mental health user profile and personalization strategy for an online service to aid grieving older adults

While much effort has been devoted to the development of mental e-health interventions, the tailoring of these applications to user characteristics and needs is a comparatively novel field of research. The premise of personalizing mental e-health interventions is that personalization increases user motivation and (thereby) mitigates intervention dropout and enhances clinical effectiveness. In this study, we selected user profile parameters for personalizing a mental e-health intervention for older adults who lost their spouse. We conducted a three-round Delphi study involving an international and interdisciplinary expert panel (N = 16) with two objectives. The first aim was to elicit adaptation strategies that can be used to dynamically readjust the intervention to the user's needs. The second aim was to identify a set of meaningful indicators for monitoring the user from within the grief intervention to escalate from self-help to blended care, whenever advisable. This Delphi study used as starting point an evaluated, text-based grief intervention composed of ten modules, including psychoeducation about grief and cognitive-behavioral exercises to support the user in adjusting their lives after bereavement. Every user follows this grief intervention in a linear fashion from beginning to end. The resulting conceptual adaptation model encompasses dynamic adjustments, as well as one-time adjustments performed at the initialization of the service. On the level of the application structure, the adaptations affect when which topic module is presented to the user. The adaptations further provide strategies for adjusting the text-based content of individual intervention modules dependent on user characteristics and for selecting appropriate reactions to user input. Eighteen monitoring parameters were elicited and grouped into four categories: clinical, behavioral/emotional, interactive, and external. Parameters that were perceived as most urgent to attend to for escalation were Suicidality, Self-destructive behavior, Client-initiated escalation, Unresponsiveness and (Complicated) Grief symptoms.

The Efficacy of a Smartphone-Based App on Stress Reduction: Randomized Controlled Trial

Background

Stress management in the workplace is essential for a healthy mental and physical state. Due to technological advancements, individually tailored therapy and online cognitive behavioral therapy (CBT) are on the rise.

Objective

This study analyzed the efficacy of a smartphone app based on third-wave CBT tailored to an individual.

Methods

A randomized controlled trial was conducted with 126 participants who were divided into 2 groups. The intervention group used the smartphone app BetterLife for 10 weeks, while the control group was placed on a waiting list for the same duration. The Perceived Stress Scale–10 (PSS), Korean Utrecht Work Engagement Scale–9 (UWES), World Health Organization Quality of Life Assessment (WHOQOL), Beck Depression Inventory–II (BDI), and Beck Anxiety Inventory (BAI) were administered at baseline and after 10 weeks to both groups.

Results

Of the 126 participants, 11 dropped out during the trial. A 2-way repeated measure analysis of covariance was conducted, controlling for baseline BDI. There were greater improvements in PSS (F=24.33, P<.001, η²=0.17) and UWESK scores (F=8.32, P=.0046, η²=0.06) in the intervention group than in the control group. WHOQOL scores exhibited statistically significant improvement in the intervention group in the overall quality of life (F=8.19, P=.0049, η²=0.06), physical health (F=8.87, P=.003, η²=0.07), psychological health (F=13.32, P<.001, η²=0.10), social relationships (F=19.43, P<.001, η²=0.14), and environmental domains (F=10.14, P=.002, η²=0.08) but not overall health (F=1.68, P=.20). BDI (F=7.17, P=.008, η²=0.06) and BAI (F=6.00, P=.02, η²=0.05) showed a statistically significant improvement in the intervention group, but this significance did not survive the Bonferroni correction (P<.005).

Conclusions

These results provide evidence that smartphone-based CBT is a viable option for reducing stress in the workplace.

Trial Registration

Clinical Research Information Service KCT0003231; https://cris.nih.go.kr/cris/search/detailSearch.do/15137

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.

Efficacy of an online intervention for treatment of depressive disorders: a three-arm randomized controlled trial comparing guided and unguided self-help with waitlist control (Preprint)

Background

Digital health apps are efficacious treatment options for mild-to-moderate depressive disorders. However, the extent to which psychological guidance increases the efficacy of these apps is controversial.

Objective

We evaluated the efficacy of a web-based intervention, called Selfapy, for unipolar depression. We also investigated differences between psychotherapist-guided and unguided versions.

Methods

Selfapy is a cognitive behavioral therapy–based intervention for depressive disorders. Participants with mild-to-severe depressive disorders were assigned randomly to participate in either guided (weekly 25-minute duration telephone calls) intervention, unguided version, or waiting list (control group) for 12 weeks. We assessed depressive symptoms at the start of the study, midway through the intervention (6 weeks), at the end of the intervention (12 weeks), and at follow-up (6 months). The main outcome was difference in the Beck Depression Inventory score between the start of the study and the end of the intervention. Secondary outcomes were the Quick Inventory of Depressive Symptomatology—Self Report, the Hamilton Rating Depression Scale, and the Beck Anxiety Inventory.

Results

Of 401 participants, 301 participants (75.1%) completed the intervention. Changes in the Beck Depression Inventory from baseline differed significantly between groups at the postintervention (F_2,398=37.20, P<.001). The reductions in scores for both guided and unguided intervention groups were greater than that for the control group, with large between-group effect sizes (guided vs control: d=1.63, 95% CI 1.37 to 1.93; unguided vs control: d=1.47, 95% CI 1.22 to 1.73) at postintervention. No significant differences were found between guided and unguided intervention groups (P=.18). At follow-up (6 months), treatment effects on the primary outcome were maintained for both intervention groups (guided: F_1,194=0.62, P>.999; unguided: F_1,176=0.13, P>.999).

Conclusions

Both guided and unguided versions of the intervention were highly effective in reducing depressive symptoms. Follow-up data suggest that these effects could be maintained. The guided version was not superior to the unguided version.

Trial Registration

German Clinical Trials Register DRKS00017191; https://tinyurl.com/2p9h5hnx

International Registered Report Identifier (IRRID)

RR2-10.1186/s13063-021-05218-4

Individually tailored Internet-delivered cognitive-behavioral therapy for survivors of intimate partner violence: A randomized controlled pilot trial

Intimate partner violence (IPV) is a serious public health concern worldwide and defined as behavior performed by spouses or other intimate partners that causes physical, sexual, or psychological harm. Internet-delivered cognitive-behavioral therapy (ICBT) may be particularly useful for survivors of IPV for several reasons, including barriers pertaining to limited community recourses and treatment availability, safety concerns, and issues of stigma, guilt and shame, which may prevent members of this population from seeking help via face-to-face interactions. However, Internet interventions are lacking. The primary aim of the present randomized controlled pilot trial was to explore the feasibility of ICBT as guided self-help individually tailored to the predominant symptomatology of PTSD or depression in survivors of IPV. A second aim was to conduct a preliminary evaluation exploring the short- and long-term effects of the treatment in comparison to a waitlist control condition. Results showed that the treatment was feasible. Attrition rate was low (9.4%), and participants were satisfied with treatment. However, treatment adherence was moderate in terms of completed modules (62.5%). Results of the preliminary evaluation of treatment effects showed large and statistically significant between-group effect sizes (Cohen's d = 0.86-1.08) on some measures of PTSD and depression at post assessment, favoring the treatment condition. However, there were no effects on other measures. At follow-up assessment, when the control condition had received delayed treatment, there were large and statistically significant within-group effect sizes (d = 0.96-1.48) on measures of PTSD, depression and anxiety, and small effects (d = 0.48) on a measure of quality of life. The results of the present pilot study are promising and warrant further research on ICBT for this population.

Overcome Death Anxiety: The Development of an Online Cognitive Behaviour Therapy Programme for Fears of Death

Emerging research suggests that death anxiety is a transdiagnostic construct, which may underpin a number of mental illnesses. Although cognitive behaviour therapy (CBT) has been found to be the most effective treatment for death anxiety, no self-guided treatments for this construct exist at present. Furthermore, there is a growing need for accessible, scalable and cost-effective psychological treatments. To address these gaps, we created Overcome Death Anxiety (ODA), an online CBT-based programme which specifically targets fears of death. ODA was designed to be a fully automated, standalone, yet individualised online treatment. The present study outlines the development and structure of this programme using responses from four users to illustrate feasibility. Research is needed to examine the efficacy and usability of ODA with a larger clinical sample.

The uptake and effectiveness of online cognitive behaviour therapy for symptoms of anxiety and depression during COVID-19

BACKGROUND

The mental health impacts of COVID-19 have been considerable with many individuals experiencing significant anxiety and depression. Online cognitive behavioural therapy (iCBT) programs provide scalable access to psychological interventions, however the effectiveness of these programs during the pandemic has not been investigated. This study examined the uptake and effectiveness of iCBT for symptoms of anxiety and depression during the first eight months of the pandemic in Australia (March- October 2020) and compared outcomes to the 12 months prior to COVID-19.

METHODS

6,132 adults commenced iCBT (5,074 during the pandemic and 1,058 in the year before) and completed measures of anxiety and depression symptom severity, and psychological distress pre- and post-treatment.

RESULTS

In the COVID-19 period, we observed a 504% increase in the number of monthly course registrations compared to the year prior (with a peak increase of 1,138% between April and June 2020). Baseline anxiety and depression symptom severity were similar for the COVID and pre-COVID groups. Prior to and during the pandemic, the iCBT course was associated with large effect size reductions in anxiety (g = 0.94-1.18) and depression (g = 0.92-1.12) symptom severity, as well as psychological distress (g = 1.08-1.35).

LIMITATIONS

lack of control group and long-term follow-up, as well as lack of detailed information about course users (e.g., health status and life context).

CONCLUSION

Results indicate the considerable increase in demand for psychological support during the COVID-19 pandemic in Australia and demonstrate the effectiveness and scalability of iCBT for symptoms of anxiety and depression.

Psychotherapy outcome research: Implications of a new clinical taxonomy

Since the publication of DSM-III in 1980, the scientist-practitioner gap in clinical psychology has expanded, as almost all outcome research in clinical psychology has been on diagnosed mental disorders within a medical model using drug trial methodologies, whereas most practising clinicians undertake functional analyses and case formulations of clinical psychological problems (CPPs) and then apply tailored interventions within an ongoing hypothesis-testing methodology. But comparatively reliable assessment and generalizable conclusions in psychotherapy outcome research require a comprehensive theory-derived conception or operational definition of 'CPPs', standardized functional analyses, and a taxonomy of CPPs comparable to DSM's listings of mental disorders. An alternative conception and taxonomy of CPPs have recently been proposed, offering improvements in the reliability and generalizability of case formulation-based psychotherapy outcome research. It conceives of CPPs as instances of the formation and operation of self-sustaining problem-maintaining circles (PMCs) of psychological-level causal elements-that is, at the level of cognitions, behaviours, emotions, and events or situations (stimuli). The paper describes this new conception of CPPs, a subsequent nascent taxonomy of evidence-based PMCs which standardizes the underlying mechanisms that maintain CPPs, and ensuing benefits to research (as well as to practice) in clinical psychology. These benefits include being able to encompass all treatment-worthy CPPs, not just diagnosable mental disorders; to assess theory-derived intervention strategies, not just arbitrary therapy bundles; and to directly feed back into psychological theories, not just expand an atheoretical list of patented "evidence supported therapies."

Internet-Based Cognitive Behavioral Therapy for Psychological Distress Associated With the COVID-19 Pandemic: A Pilot Randomized Controlled Trial

Background: The COVID-19 pandemic has been associated with various negative psychological consequences. This is a challenge for the society as regular psychological services cannot be offered to the same extent as before the pandemic. In addition to the requirement of social distancing, there is a need to adjust psychological treatment components like exposure to avoid increasing the spread of the infection. Internet-delivered cognitive behavior therapy (ICBT) has an established evidence base for a range of psychiatric problems and has been suggested as one possible approach to deal with the situation. This study aimed to conduct a randomized controlled pilot trial during the summer of 2020 with a broad focus on psychological distress and a treatment approach that tailors the intervention based on symptom profile and preferences.

Methods: Following the advertisement and interview, we included 52 participants with elevated levels of psychological distress. They were randomly allocated to either a 7-week-long individually tailored ICBT (n = 26) or a wait-list control condition (n = 26). Measures of depression and quality of life were used as primary outcomes. We also included secondary outcome measures of anxiety, insomnia, trauma, stress, anger, and alcohol use. For screening, we used the CoRonavIruS Health Impact Survey (CRISIS).

Results: Overall moderate to large between-group effects were found at post-treatment in favor of the treatment on measures of both depression [Beck Depression Inventory (BDI); Cohens d = 0.63; Patient Health Questionnaire (PHQ-9): d = 0.62] and anxiety [Generalized Anxiety Disorder-7-item scale (GAD-7); d = 0.82]. This was also observed for stress symptoms [Perceived Stress Scale (PSS-14); d = 1.04]. No effects were seen on measures of quality of life, insomnia, symptoms of post-traumatic stress, and anger. There was an effect on alcohol use [Alcohol Use Disorder Identification Test (AUDIT); d = 0.54], which was not of clinical relevance.

Conclusion: Individually tailored ICBT shows initial promise as a way to reduce psychological problems in association with the COVID-19 pandemic. A possible limitation was that the trial was conducted when the effects of the pandemic were decreasing and when fewer people were affected by the restrictions (e.g., the summer of 2020).

Internet-Based Cognitive Behavioral Therapy for Depression: A Systematic Review and Individual Patient Data Network Meta-analysis

Importance

Personalized treatment choices would increase the effectiveness of internet-based cognitive behavioral therapy (iCBT) for depression to the extent that patients differ in interventions that better suit them.

Objective

To provide personalized estimates of short-term and long-term relative efficacy of guided and unguided iCBT for depression using patient-level information.

Data Sources

We searched PubMed, Embase, PsycInfo, and Cochrane Library to identify randomized clinical trials (RCTs) published up to January 1, 2019.

Study Selection

Eligible RCTs were those comparing guided or unguided iCBT against each other or against any control intervention in individuals with depression. Available individual patient data (IPD) was collected from all eligible studies. Depression symptom severity was assessed after treatment, 6 months, and 12 months after randomization.

Data Extraction and Synthesis

We conducted a systematic review and IPD network meta-analysis and estimated relative treatment effect sizes across different patient characteristics through IPD network meta-regression.

Main Outcomes and Measures

Patient Health Questionnaire-9 (PHQ-9) scores.

Results

Of 42 eligible RCTs, 39 studies comprising 9751 participants with depression contributed IPD to the IPD network meta-analysis, of which 8107 IPD were synthesized. Overall, both guided and unguided iCBT were associated with more effectiveness as measured by PHQ-9 scores than control treatments over the short term and the long term. Guided iCBT was associated with more effectiveness than unguided iCBT (mean difference [MD] in posttreatment PHQ-9 scores, -0.8; 95% CI, -1.4 to -0.2), but we found no evidence of a difference at 6 or 12 months following randomization. Baseline depression was found to be the most important modifier of the relative association for efficacy of guided vs unguided iCBT. Differences between unguided and guided iCBT in people with baseline symptoms of subthreshold depression (PHQ-9 scores 5-9) were small, while guided iCBT was associated with overall better outcomes in patients with baseline PHQ-9 greater than 9.

Conclusions and Relevance

In this network meta-analysis with IPD, guided iCBT was associated with more effectiveness than unguided iCBT for individuals with depression, benefits were more substantial in individuals with moderate to severe depression. Unguided iCBT was associated with similar effectiveness among individuals with symptoms of mild/subthreshold depression. Personalized treatment selection is entirely possible and necessary to ensure the best allocation of treatment resources for depression.

Discovering Common Elements of Empirically Supported Self-Help Interventions for Depression in Primary Care: a Systematic Review

BACKGROUND

Although the efficacy of self-help cognitive-behavioral therapy (CBT) for depression has been well established, its feasibility in primary care settings is limited because of time and resource constraints. The goal of this study was to identify common elements of empirically supported (i.e., proven effective in controlled research) self-help CBTs and frameworks for effective use in practice.

METHODS

Randomized controlled trials (RCTs) for self-help CBTs for depression in primary care were systematically identified in Pubmed, PsycINFO, and CENTRAL. The distillation and matching model approach was used to abstract commonly used self-help techniques (practice elements). Study contexts associated with unique combinations of intervention elements were explored, including total human support dose (total face-to-face, telephone, and personalized email contact time recommended by the protocol), effective symptom domain (depression vs. general psychological distress), and severity of depression targeted by the study. Relative contribution to intervention success was estimated for individual elements and human support by conditional probability (CP, proportion of the number of times each element appeared in a successful intervention to the number of times it was used in the interventions identified by the review).

RESULTS

Twenty-one interventions (12 successful) in 20 RCTs and 21 practice elements were identified. Cognitive restructuring, behavioral activation, and homework assignment were elements appearing in > 80% of successful interventions. The dose of human support was positively associated with the proportion of interventions that were successful in a significant linear fashion (CPs: interventions with no support, 0.20; 1-119 min of support, 0.60; 120 min of support, 0.83; p = 0.042). In addition, human support increased the probability of success for most of the extracted elements. Only social support activation, homework assignment, and interpersonal skills were highly successful (CPs ≥ 0.60) when minimal support was provided.

DISCUSSION

These findings suggest that human support is an important component in creating an evidence-informed brief self-help program compatible with primary care settings.

Lessons learned from an attempted randomized-controlled feasibility trial on "WIDeCAD" - An internet-based depression treatment for people living with coronary artery disease (CAD)

Despite the high prevalence of comorbid depression in people living with coronary artery disease (CAD), uptake of psychological treatment is generally low. This study was designed to investigate the feasibility of an internet-based cognitive-behavioral (iCBT) depression intervention for people with CAD and depressive symptoms.

METHODS

People with CAD and depressive symptoms (PHQ-9 ≥ 5) were randomly assigned to the eight modules comprising iCBT (N = 18), or waitlist-control (N = 16). Measures were taken at baseline (t1) and at post-treatment (eight weeks after randomization, t2). Feasibility-related outcomes were recruitment strategy, study attrition, intervention dropout, satisfaction, negative effects as well as the potential of the intervention to affect likely outcomes in a future full-scale trial (depression, anxiety, quality of life, fear of progression). Data analyses were based on intention-to-treat principles. Linear regression models were used to detect between group differences. Linear Mixed Models were used to model potential changes over time.

RESULTS

This trial was terminated prior to a-priori defined sample size has been reached given low recruitment success as well as high intervention dropout (88%) and study attrition (23%). On average, participants in the intervention group completed M = 2.78 (SD = 3.23) modules. Participants in the waitlist control group barely started one module (M = 0.82, SD = 1.81). The satisfaction with the intervention was low (M = 20.6, SD = 0.88). Participants reported no negative effects attributed to the iCBT. Differences between groups with regard to depression, anxiety, fear of progression and quality of life remained non-significant (p > 0.05).

CONCLUSION

This trial failed to recruit a sufficient number of participants. Future work should explore potential pitfalls with regards to the reach and persuasiveness of internet interventions for people living with CAD. The study gives important indications for future studies with regard to the need for new ideas to reach and treat people with CAD and depression.

Internet-delivered cognitive behaviour therapy for adolescents with insomnia comorbid to psychiatric conditions: A non-randomised trial

Insomnia is highly prevalent among adolescents with psychiatric conditions and is known to aggravate psychiatric symptoms. Research on cognitive behaviour therapy for adolescents with comorbid insomnia (CBT-I) is still limited. The aim of this study was to investigate feasibility and preliminary effects of internet-delivered CBT for adolescents with insomnia comorbid to a psychiatric condition. Twenty-one patients (13-17 years) with comorbid insomnia were recruited from Child and Adolescent Psychiatry. All patients received 7 weeks of internet-delivered CBT-I with therapist support. Outcomes were assessed at baseline, post-treatment, and at a 4-month follow-up. The proportion of completed assessments was overall acceptable. Participants on average completed 4.48 (sd = 1.97) of the seven treatment modules and therapists on average spent 12.80 minutes (sd = 6.23) per patient and week. Results showed large statistically significant improvements on insomnia severity, sleep efficiency, sleep onset latency and sleep quality. Medium to large improvements were also seen on the psychiatric symptoms of depression, obsessive-compulsive symptoms, interpersonal sensitivity, paranoid ideation and psychoticism. These findings indicate that internet-delivered CBT is feasible and potentially promising for improving sleep and reducing psychiatric symptoms in adolescent psychiatric patients with insomnia and co-morbid psychiatric disorders. A larger randomised trial is warranted to verify these preliminary results.

Evidence on Technology-Based Psychological Interventions in Diagnosed Depression: Systematic Review

BACKGROUND

Evidence on technology-based psychological interventions (TBIs) for the treatment of depression is rapidly growing and covers a broad scope of research. Despite extensive research in this field, guideline recommendations are still limited to the general effectiveness of TBIs.

OBJECTIVE

This study aims to structure evidence on TBIs by considering different application areas (eg, TBIs for acute treatment and their implementation in health care, such as stand-alone interventions) and treatment characteristics (eg, therapeutic rationale of TBIs) to provide a comprehensive evidence base and to identify research gaps in TBIs for diagnosed depression. Moreover, the reporting of negative events in the included studies is investigated in this review to enable subsequent safety assessment of the TBIs.

METHODS

Randomized controlled trials on adults diagnosed with unipolar depression receiving any kind of psychotherapeutic treatment, which was at least partly delivered by a technical medium, were eligible for inclusion in our preregistered systematic review. We searched for trials in CENTRAL (Cochrane Central Register of Controlled Trials; until August 2020), MEDLINE, PsycINFO, PSYNDEX, CINAHL; until the end of January 2018), clinical trial registers, and sources of gray literature (until the end of January 2019). Study selection and data extraction were conducted by 2 review authors independently.

RESULTS

Database searches resulted in 15,546 records, of which 241 publications were included, representing 83 completed studies and 60 studies awaiting classification (ie, preregistered studies, study protocols). Almost all completed studies (78/83, 94%) addressed the acute treatment phase, being largely either implemented as stand-alone interventions (66/83, 80%) or blended treatment approaches (12/83, 14%). Studies on TBIs for aftercare (4/83, 5%) and for bridging waiting periods (1/83, 1%) were scarce. Most TBI study arms (n=107) were guided (59/107, 55.1%), delivered via the internet (80/107, 74.8%), and based on cognitive behavioral treatment approaches (88/107, 79.4%). Almost all studies (77/83, 93%) reported information on negative events, considering dropouts from treatment as a negative event. However, reports on negative events were heterogeneous and largely unsystematic.

CONCLUSIONS

Research has given little attention to studies evaluating TBIs for aftercare and for bridging waiting periods in people with depression, even though TBIs are seen as highly promising in these application areas; thus, high quality studies are urgently needed. In addition, the variety of therapeutic rationales on TBIs has barely been represented by identified studies hindering the consideration of patient preferences when planning treatment. Finally, future studies should use specific guidelines to systematically assess and report negative events.

TRIAL REGISTRATION

International Prospective Register of Systematic Reviews (PROSPERO) CRD42016050413; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42016050413.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1136/bmjopen-2018-028042.

Who seeks Internet-based interventions for depression in Brazil?

Abstract Specific psychological treatments for depressive disorders delivered on the Internet have shown effectiveness and presented advantages over face-to-face treatments (potentially less expensive, flexible schedules, available in remote areas). This paper aims to describe the characteristics of those who sought help from an online self-guided intervention for depression and to explore hypotheses about predictors of enrollment to the program. Based on a sample of 282 of individuals who filled in screening questionnaires, we verified that the respondents were mainly female, were on average 34.36 years old, were primarily recruited through Facebook, had been previously diagnosed by mental health professionals, presented moderate self-efficacy perception, and had moderately severe symptoms of depression. Respondents who reported comorbid conditions were more likely to attend enrollment interviews, and being in treatment or not did not influence attendance. Such characterization may provide strategies to reach more people and to optimize the design of interventions targeting help-seeking depressed individuals in Brazil.

Innovative Self-Confidence Webinar Intervention for Depression in the Workplace: A Focus Group Study and Systematic Development

Brief face-to-face self-confidence workshops were effective in reducing depression among the public. Technological advances have enabled traditional face-to-face interventions to be adapted using unique technology-mediated platforms. This article details the formative development of a self-confidence web-based seminar (webinar) intervention for workplace depression. The first section discusses a qualitative study that explores the feasibility and acceptability of adapting the self-confidence workshops into a webinar platform on employees in the workplace. The second section describes the systematic development of this new webinar intervention informed by the qualitative study findings, a published systematic review, and previous face-to-face self-confidence workshops. The qualitative study involves three focus groups (n = 10) conducted in a small organization. Three themes were identified relevant to the running of the new self-confidence webinars in the workplace: personal (content, time and duration preference, features of the webinar, individual participation, personalization), interpersonal (stigma from others, engagement with participants/presenter, moderated interaction), and organizational (endorsement from management, work demand). For the intervention development, the format, structure, features, and content of the self-confidence webinar intervention are described. Features such as file sharing, virtual whiteboard, live chat, and poll are explained with the intervention primarily based on cognitive behavior therapy and coping flexibility concepts.

CBT at the Crossroads: The Rise of Transdiagnostic Treatments

Transdiagnostic treatments span a heterogeneous group of interventions that target a wider range of disorders and can be applied to treat several disorders simultaneously. Several meta-analyses have highlighted the evidence base of these novel therapies. However, these meta-analyses adopt different definitions of transdiagnostic treatments, and the growing field of transdiagnostic therapies has become increasingly difficult to grasp. The current narrative review proposes a distinction of “one size fits all” unified and “my size fits me” individualized approaches within transdiagnostic therapies. Unified treatments are applied as “broadband” interventions to a range of disorders without tailoring to the individual, while individualized treatments are tailored to the specific problem presentation of the individual, e.g., by selecting modules within modular treatments. The underlying theoretical foundation and relevant empirical evidence for these different transdiagnostic approaches are examined. Advantages and limitations of the transdiagnostic treatments as well as future developments are discussed.

Effectiveness and acceptance of technology-based psychological interventions for the acute treatment of unipolar depression: a systematic review and meta-analysis (Preprint)

Background

Evidence on technology-based psychological interventions (TBIs) for the acute treatment of depression is rapidly growing. Despite extensive research in this field, there is a lack of research determining effectiveness and acceptance of TBIs considering different application formats in people with a formally diagnosed depressive disorder.

Objective

The goal of the review was to investigate the effectiveness and acceptance of TBIs in people with diagnosed depression with particular focus on application formats (stand-alone interventions, blended treatments, collaborative and/or stepped care interventions).

Methods

Studies investigating adults with diagnosed unipolar depressive disorders receiving any kind of psychotherapeutic treatment delivered (at least partly) by a technical medium and conducted as randomized controlled trials (RCTs) were eligible for inclusion. We searched CENTRAL (Cochrane Central Register of Controlled Trials; August 2020), MEDLINE, PsycINFO, PSYNDEX, CINAHL (January 2018), clinical trial registers, and sources of grey literature (January 2019). Two independent authors decided about study inclusion and extracted data. We performed random effects meta-analyses to synthesize the data.

Results

Database searches resulted in 15,546 records of which 78 completed studies were included. TBIs delivered as stand-alone interventions showed positive effects on posttreatment depression severity when compared to treatment as usual (SMD –0.44, 95% CI –0.73 to –0.15, k=10; I²=86%), attention placebo (SMD –0.51, 95% CI –0.73 to –0.30; k=12; I²=66%), and waitlist controls (SMD –1.01, 95% CI –1.23 to –0.79; k=19; I²=73%). Superior long-term effects on depression severity were shown when TBIs were compared to treatment as usual (SMD –0.24, 95% CI –0.41 to –0.07; k=6; I²=48%) attention placebo (SMD –0.23, 95% CI –0.40 to –0.07; k=7; I²=21%) and waitlist controls (SMD –0.74, 95% CI –1.31 to –0.18; k=3; I²=79%). TBIs delivered as blended treatments (providing a TBI as an add-on to face-to-face treatment) yielded beneficial effects on posttreatment depression severity (SMD –0.27, 95% CI –0.48 to –0.05; k=8; I²=53%) compared to face-to-face treatments only. Additionally, TBIs delivered within collaborative care trials were more effective in reducing posttreatment (SMD –0.20, 95% CI –0.36 to –0.04; k=2; I²=0%) and long-term (SMD –0.23, 95% CI –0.39 to –0.07; k=2; I²=0%) depression severity than usual care. Dropout rates did not differ between the intervention and control groups in any comparison (all P≥.09).

Conclusions

We found that TBIs are effective not only when delivered as stand-alone interventions but also when they are delivered as blended treatments or in collaborative care trials for people with diagnosed depression. Our results may be useful to inform routine care, since we focused specifically on different application formats, formally diagnosed patients, and the long-term effectiveness of TBIs.

Trial Registration

PROSPERO International Prospective Register of Systematic Reviews CRD42016050413; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42016050413

International Registered Report Identifier (IRRID)

RR2-10.1136/bmjopen-2018-028042

User Experience and Effects of an Individually Tailored Transdiagnostic Internet-Based and Mobile-Supported Intervention for Anxiety Disorders: Mixed-Methods Study

BACKGROUND

Internet interventions have been shown to be effective in treating anxiety disorders. Most interventions to date focus on single disorders and disregard potential comorbidities.

OBJECTIVE

The aim of this mixed-methods study was to investigate feasibility, user experience, and effects of a newly developed individually tailored transdiagnostic guided internet intervention for anxiety disorders.

METHODS

This study is an uncontrolled, within-group, baseline, postintervention pilot trial with an embedded qualitative and quantitative process and effect evaluation. In total, 49 adults with anxiety disorders (generalized anxiety disorder n=20, social phobia n=19, agoraphobia without panic n=12, panic with agoraphobia n=6, panic without agoraphobia n=4, subclinical depression n=41) received access to the 7-session intervention. We examined motivation and expectations, intervention use, user experience, impact, and modification requests. Qualitative data were assessed using semistructured interviews and analyzed by qualitative content analysis. Quantitative outcomes included symptom severity of anxiety and depression (Hamilton Anxiety Rating Scale [HAM-A], Quick Item Inventory of Depressive Symptomatology clinician rating [QIDS-C]), diagnostic status in clinical interviews (Mini International Neuropsychiatric Interview [MINI]), and web-based self-reports (Generalized Anxiety Disorder-7 [GAD-7], Center for Epidemiological Studies Depression Scale [CES-D], Beck Anxiety Inventory [BAI], Panic and Agoraphobia Scale [PAS], Social Phobia Scale [SPS], Patient Health Questionnaire-9 [PHQ-9]) at baseline and postassessment. Quantitative data was analyzed by comparing within-group means expressed as Cohen d.

RESULTS

Anxiety symptom severity (HAM-A d=1.19) and depressive symptoms (QIDS-C d=0.42) improved significantly, and 54% (21/39) no longer were diagnosed as having any anxiety disorder. The main positive effects were the general improvement of disease burden and attentiveness to feelings and risk situations while the main negative effects experienced were lack of change in disease burden and symptom deterioration. The most prevalent reasons for participation were the advantages of online treatment, symptom burden, and openness toward online treatment. Helpful factors included support, psychoeducation and practicing strategies in daily life; the main hindering factors were too little individualization and being overwhelmed by the content and pace.

CONCLUSIONS

The intervention was found to be feasible and results show preliminary data indicating potential efficacy for improving anxiety and depression. The next step should be the evaluation within a randomized controlled trial. Concerning intervention development, it was found that future interventions should emphasize individualization even more in order to further improve the fit to individual characteristics, preferences, and needs.

Efficacy of a Guided Web-Based Self-Management Intervention for Depression or Dysthymia: Randomized Controlled Trial With a 12-Month Follow-Up Using an Active Control Condition

BACKGROUND

An increasing number of studies suggest that web-based interventions for patients with depression can reduce their symptoms and are expected to fill currently existing treatment gaps. However, evidence for their efficacy has mainly been derived from comparisons with wait-list or treatment as usual controls. In particular, designs using wait-list controls are unlikely to induce hope and may even have nocebo effects, making it difficult to draw conclusions about the intervention's efficacy. Studies using active controls are rare and have not yielded conclusive results.

OBJECTIVE

The main objective of this study is to assess the acute and long-term antidepressant efficacy of a 6-week, guided, web-based self-management intervention building on the principles of cognitive behavioral therapy (iFightDepression tool) for patients with depression compared with web-based progressive muscle relaxation as an active control condition.

METHODS

A total of 348 patients with mild-to-moderate depressive symptoms or dysthymia (according to the Mini International Neuropsychiatric Interview) were recruited online and randomly assigned to 1 of the 2 intervention arms. Acute antidepressant effects after 6 weeks and long-term effects at 3-, 6-, and 12-month follow-up were studied using the Inventory of Depressive Symptomatology-self-rating as a primary outcome parameter and change in quality of life (Short Form 12) and user satisfaction (client satisfaction questionnaire) as secondary outcome parameters. Treatment effects were assessed using mixed model analyses.

RESULTS

Over the entire observation period, a greater reduction in symptoms of depression (P=.01) and a greater improvement of life quality (P<.001) was found in the intervention group compared with the active control group. Separate tests for each time point revealed significant effects on depressive symptoms at the 3-month follow-up (d=0.281; 95% CI 0.069 to 0.493), but not after 6 weeks (main outcome:d=0.192; 95% CI -0.020 to 0.404) and 6 and 12 months. The intervention was significantly superior to the control condition with respect to user satisfaction (25.31 vs 21.97; t₂₅₉=5.804; P<.01).

CONCLUSIONS

The fact that antidepressant effects have been found for a guided self-management tool in comparison with an active control strengthens the evidence base for the efficacy of web-based interventions. The antidepressant effect became most prominent at the 3-month follow-up. After 6 weeks of intervention, significant positive effects were observed on life quality but not on depressive symptoms. Although the effect size of such web-based interventions on symptoms of depression might be smaller than that suggested by earlier studies using wait-list control conditions, they can be a cost-effective addition to antidepressants and face-to-face psychotherapy.

TRIAL REGISTRATION

International Clinical Trials Registry Platform ICTRP080-15-09032015; https://apps.who.int/trialsearch/Trial2.aspx?TrialID=DRKS00009323.

Effects of a Tailored Brief Behavioral Therapy Application on Insomnia Severity and Social Disabilities Among Workers With Insomnia in Japan: A Randomized Clinical Trial

IMPORTANCE

According to the stepped-care model, there is a medium to large effect size for using cognitive behavioral therapy for insomnia that is delivered digitally, such as a smartphone application. However, it has been reported that studies using fully automated cognitive behavioral therapy for insomnia applications without expert support have high dropout rates.

OBJECTIVE

To examine the effects of using a fully automated and individually tailored brief behavior therapy for insomnia (BBTI) applications for 2 weeks on insomnia-related symptoms, social disabilities, and work productivity among workers with insomnia in Japan.

DESIGN, SETTING, AND PARTICIPANTS

This intent-to-treat prospective parallel-group randomized clinical trial included participants 20 years or older with Insomnia Severity Index (ISI) scores of 8 or higher. Participants were recruited via internet advertisements and workplace flyers and randomized to tailored BBTI, standard BBTI, self-monitoring with sleep diaries, or a waiting list control group. The study was conducted from September 21, 2017, to February 23, 2018. Data were analyzed from February 24, 2018, to February 22, 2019.

INTERVENTIONS

A personalized BBTI and standard BBTI intervention, both of which included sleep scheduling, relaxation, sleep hygiene, and sleep diaries, administered via smartphone application.

MAIN OUTCOMES AND MEASURES

Primary outcomes were insomnia severity, measured using the Japanese version of the Insomnia Severity Index, and social disabilities, measured using the Japanese version of the Sheehan Disability Scale. Secondary outcomes were dysfunctional beliefs, sleep reactivity, and work productivity. All measures were taken before and after the intervention and at 1-month and 3-month follow-ups.

RESULTS

A total of 92 participants (mean [SD] age, 42.7 [11.5] years; 60 [65%] men) were randomized and included in analysis, with 24 participants assigned to tailored BBTI, 23 participants assigned to standard BBTI, 23 participants assigned to self-monitoring, and 22 participants assigned to the waiting list control group. At baseline, there were no significant differences among groups on any demographic characteristics or outcome measures. The results of the intent-to-treat analysis showed an interaction effect for all outcome measures. Compared with the waiting list control group, the BBTI interventions were more effective for reduction of insomnia severity (tailored BBTI: Hedges g = -1.64 [95% CI, -2.32 to -0.96]; P < .001; standard BBTI: g = -1.28 [95% CI, -1.93 to -0.63]; P < .001), social disabilities relating to social life (tailored BBTI: g = -1.33 [95% CI, -1.97 to -0.68]; P < .001; standard BBTI: g = -0.84 [95% CI, -1.46 to -0.22]; P = .009), and dysfunctional beliefs (tailored BBTI: g = -1.17 [95% CI, -1.80 to -0.54]; P < .001; standard BBTI: g = -0.84 [95% CI, -1.46 to -0.23]; P = .02) at the 3-month follow-up. Tailored BBTI quickly reduced insomnia severity (1-month follow-up: g = -0.85 [95% CI, -1.46 to -0.24]). Tailored BBTI was only more effective for improvement of work performance (g = -1.09 [95% CI, -1.71 to -0.46]; P = .005), social disabilities related to family life (g = -0.89 [95% CI, -1.51 to -0.28]; P = .005), and sleep reactivity (g = -1.09 [95% CI, -1.72 to -0.46]; P = .007) compared with the waiting list control group at the 3-month follow-up. The tailored BBTI led to improved worker productivity compared with standard BBTI (g = 0.94 [95% CI, 0.33 to 1.55]; P = .01) at the 3-month follow-up.

CONCLUSIONS AND RELEVANCE

These findings suggest that an application for individually tailored BBTI is an inexpensive and effective treatment for insomnia. In future research, it would be informative to investigate the reasons for dropout during the follow-up period.

TRIAL REGISTRATION

umin.ac.jp/ctr Identifier: UMIN000036572.

The Association of Therapeutic Alliance With Long-Term Outcome in a Guided Internet Intervention for Depression: Secondary Analysis From a Randomized Control Trial

BACKGROUND

Therapeutic alliance has been well established as a robust predictor of face-to-face psychotherapy outcomes. Although initial evidence positioned alliance as a relevant predictor of internet intervention success, some conceptual and methodological concerns were raised regarding the methods and instruments used to measure the alliance in internet interventions and its association with outcomes.

OBJECTIVE

The aim of this study was to explore the alliance-outcome association in a guided internet intervention using a measure of alliance especially developed for and adapted to guided internet interventions, showing evidence of good psychometric properties.

METHODS

A sample of 223 adult participants with moderate depression received an internet intervention (ie, Deprexis) and email support. They completed the Working Alliance Inventory for Guided Internet Intervention (WAI-I) and a measure of treatment satisfaction at treatment termination and measures of depression severity and well-being at termination and 3- and 9-month follow-ups. For data analysis, we used two-level hierarchical linear modeling that included two subscales of the WAI-I (ie, tasks and goals agreement with the program and bond with the supporting therapist) as predictors of the estimated values of the outcome variables at the end of follow-up and their rate of change during the follow-up period. The same models were also used controlling for the effect of patient satisfaction with treatment.

RESULTS

We found significant effects of the tasks and goals subscale of the WAI-I on the estimated values of residual depressive symptoms (γ₀₂=-1.74, standard error [SE]=0.40, 95% CI -2.52 to -0.96, t₂₀₆=-4.37, P<.001) and patient well-being (γ₀₂=3.10, SE=1.14, 95% CI 0.87-5.33, t₁₉₈=2.72, P=.007) at the end of follow-up. A greater score in this subscale was related to lower levels of residual depressive symptoms and a higher level of well-being. However, there were no significant effects of the tasks and goals subscale on the rate of change in these variables during follow-up (depressive symptoms, P=.48; patient well-being, P=.26). The effects of the bond subscale were also nonsignificant when predicting the estimated values of depressive symptoms and well-being at the end of follow-up and the rate of change during that period (depressive symptoms, P=.08; patient well-being, P=.68).

CONCLUSIONS

The results of this study point out the importance of attuning internet interventions to patients' expectations and preferences in order to enhance their agreement with the tasks and goals of the treatment. Thus, the results support the notion that responsiveness to a patient's individual needs is crucial also in internet interventions. Nevertheless, these findings need to be replicated to establish if they can be generalized to different diagnostic groups, internet interventions, and supporting formats.