Effectiveness of digital interventions for eight mental disorders: A meta-analytic synthesis.

Objectives: In this unified series of meta-analyses, we integrate the effects of digital interventions in adults with mental disorders compared to inactive controls. We cover eight indications: depressive disorder, insomnia, specific phobias, generalized anxiety, panic, social anxiety, obsessive-compulsive, and posttraumatic stress disorder.

Methods: Digital intervention trials in patients with a diagnosed mental disorder (confirmed by clinical interviews) were extracted from the Metapsy living databases for psychological treatments.

Machine-learning detection of stress severity expressed on a continuous scale using acoustic, verbal, visual, and physiological data: lessons learned.

Background: Early detection of elevated acute stress is necessary if we aim to reduce consequences associated with prolonged or recurrent stress exposure. Stress monitoring may be supported by valid and reliable machine-learning algorithms. However, investigation of algorithms detecting stress severity on a continuous scale is missing due to high demands on data quality for such analyses.

A randomized controlled trial into the effectiveness of a mobile health application (SAM) to reduce stress and improve well-being in autistic adults.

Autistic adults experience more daily stress compared to non-autistic adults. However, stress recognition is often delayed, potentially leading to chronic stress and significant (mental) health risks. We evaluated the effectiveness of Stress Autism Mate (SAM), a stress-monitoring mobile health application co-created with autistic individuals.

Effectiveness of psychotherapy: Synthesis of a "meta-analytic research domain" across world regions and 12 mental health problems.

The scientific output generated in psychology has surged in recent decades, including the number of studies investigating psychological treatments. To keep track of all this evidence, we developed the "Metapsy" meta-analytic research domain: a comprehensive system of open databases and tailored software that allows for rapid evidence generation. We leverage this novel infrastructure to summarize the effect of psychological treatment across 12 mental health problems and trace back the global expansion of psychotherapy research over the past 50 years.

Transdiagnostic psychological interventions for emotional disorders: A comprehensive meta-analysis.

Previous meta-analyses have integrated evidence on the effects of transdiagnostic interventions for depression and anxiety symptoms. Nevertheless, no recent study covers all types of transdiagnostic interventions administered through a wide range of delivery formats, and targeting participants with different emotional disorders (i.e.

Cognitive Behavior Therapy for Mental Disorders in Adults: A Unified Series of Meta-Analyses.

Importance: Cognitive behavior therapy (CBT) is a first-line treatment for most mental disorders. However, no meta-analytic study has yet integrated the results of randomized clinical trials on CBT across different disorders, using uniform methodologies and providing a complete overview of the field.

Objective: To examine the effect sizes of CBT for 4 anxiety disorders, 2 eating disorders, major depression, obsessive-compulsive disorder (OCD), posttraumatic stress disorder (PTSD), and psychotic and bipolar disorders on symptoms of the respective disorders using uniform methodologies for data extraction, risk of bias (RoB) assessment, and meta-analytic techniques.

Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review.

Background: Just-In-Time Adaptive Interventions (JITAIs) are interventions designed to deliver timely tailored support by adjusting to changes in users' internal states and external contexts. To accomplish this, JITAIs often apply complex analytic techniques, such as machine learning or Bayesian algorithms to real- or near-time data acquired from smartphones and other sensors. Given the idiosyncratic, dynamic, and context dependent nature of mental health symptoms, JITAIs hold promise for mental health.

Acceptance and Use of eHealth in Support and Psychological Therapy for People With Intellectual Disabilities: Two Cross-Sectional Studies of Health Care Professionals.

Background: Acceptance of health care professionals is of paramount importance for the uptake and implementation of eHealth. The Unified Theory of Acceptance and Use of Technology (UTAUT) model is a widely used framework for studying health care professionals' acceptance and actual use of eHealth among general client populations. However, there is limited understanding of the eHealth acceptance of health care professionals working with people with intellectual disabilities (ID).

Does outcome expectancy predict outcomes in online depression prevention? Secondary analysis of randomised-controlled trials.

Background: Evidence shows that online interventions could prevent depression. However, to improve the effectiveness of preventive online interventions in individuals with subthreshold depression, it is worthwhile to study factors influencing intervention outcomes. Outcome expectancy has been shown to predict treatment outcomes in psychotherapy for depression.

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

Background: Internet-based cognitive behavioral interventions (iCBTs) are efficacious treatments for depression and anxiety. However, it is unknown whether adding human guidance is feasible and beneficial within a large educational setting.

Objective: This study aims to potentially demonstrate the superiority of 2 variants of a transdiagnostic iCBT program (human-guided and computer-guided iCBT) over care as usual (CAU) in a large sample of university students and the superiority of human-guided iCBT over computer-guided iCBT.

Amount and frequency of psychotherapy as predictors of treatment outcome for adult depression: A meta-regression analysis.

Background: It is not clear whether the amount and frequency of psychotherapy is associated with treatment effects for adult depression. We investigated whether a number of indicators of the amount and frequency of psychotherapy were related to the treatment effects in randomized controlled trials (RCTs) comparing individual, face-to-face psychotherapy to a control group (e.g.

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

Psychotherapies are first-line treatments for most mental disorders, but their absolute outcomes (i.e., response and remission rates) are not well studied, despite the relevance of such information for health care users, providers and policy makers.

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

Background: Major depressive disorder (MDD) is highly prevalent and burdensome for individuals and society. While there are psychological interventions able to prevent and treat MDD, uptake remains low. To overcome structural and attitudinal barriers, an indirect approach of using online insomnia interventions seems promising because insomnia is less stigmatized, predicts MDD onset, is often comorbid and can outlast MDD treatment.

Effects on voice hearing distress and social functioning of unguided application of a smartphone app - A randomized controlled trial.

Background: Temstem is a smartphone app developed with and for clinical voice hearing individuals with the aim to reduce their voice hearing distress and improve social functioning.

Methods: A randomized controlled trial with adult outpatients suffering from distressing and frequent auditory verbal hallucinations (AVH) was conducted. Participants were randomized to unguided 'Temstem+AVH monitoring' or unguided 'AVH monitoring only' (control condition).

Effectiveness of a blended school-based mindfulness program for the prevention of co-rumination and internalizing problems in Dutch secondary school girls: a cluster randomized controlled trial.

Background: A growing body of literature indicates that adolescent girls who talk with close friends about interpersonal problems or worries in an excessive, speculative way, and with an intense focus on distress (i.e., co-rumination) are at heightened risk for developing internalizing symptoms and disorders as well as reduced friendship quality.

Use of tailoring features and reasons for dropout in a guided internet-based transdiagnostic individually-tailored cognitive behavioral therapy for symptoms of depression and/or anxiety in college students.

Transdiagnostic individually-tailored digital interventions reduce symptoms of depression and anxiety in adults with moderate effects. However, research into these approaches for college students is scarce and contradicting. In addition, the exact reasons for intervention dropout in this target group are not well known, and the use of individually-tailored intervention features, such as optional modules, has not yet been explored.

The effectiveness of two novel approaches to prevent intrusions: A pilot study comparing Tetris_dualtask and imagery rescripting to control.

Background And Objectives: Post-traumatic stress disorder (PTSD) is a global health problem. Although effective treatments for it exist, early interventions that prevent PTSD from developing are lacking. The aim of this pilot analogue trauma study was to compare the effects of two potential early intervention strategies, namely Tetris_dualtask and imagery rescripting (IR) to a no-intervention control group on intrusion frequency and the vividness and emotionality of aversive film memory.