Publications by authors named "Riper H"

Article Synopsis
  • The study aimed to evaluate a guided internet- and smartphone-based gratitude intervention’s effectiveness in reducing repetitive negative thinking among adults, focusing on cognitive, emotional, and behavioral aspects of gratitude.
  • Participants (200 adults) were randomly assigned to either receive the gratitude intervention over four sessions or join a control waiting list, with their repetitive negative thinking assessed at three months, and additional evaluations at six weeks and six months.
  • Results showed that those who completed the gratitude intervention reported significantly lower levels of repetitive negative thinking and improvements in depression and anxiety symptoms, suggesting that gratitude-focused interventions could be a beneficial approach for managing these issues.
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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).

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Article Synopsis
  • - The study investigates the cost-effectiveness of a digital stress management intervention for employees versus a waitlist control group over six months, focusing on health costs and productivity losses.
  • - Results indicate that the intervention is likely to be cost-effective from both societal and employer perspectives, with a high probability of being dominant and providing a positive return on investment.
  • - Overall, the findings suggest that digital stress management programs not only improve employee wellbeing but also offer economic benefits, making them a worthwhile investment for employers.
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  • Sleep problems like insomnia are common in autistic adults, affecting around 60% and dramatically reducing their quality of life; tailored treatments like internet-based cognitive behavioral therapy for insomnia (iCBT-I) may offer a solution.
  • * This study will involve 160 autistic adults diagnosed with insomnia to test the effectiveness of a new guided iCBT-I intervention specifically designed for them, called i-Sleep Autism, over a six-week period, comparing results against a waitlist control group.
  • * The trial will measure various outcomes including insomnia severity, mental health, and quality of life at multiple points, helping to determine if this intervention is beneficial for the target population.*
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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.

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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.

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Article Synopsis
  • Research indicates that machine learning (ML) algorithms utilizing natural behavior data (like text, audio, and video) could enhance personalization in psychology and psychiatry, but there's a lack of a comprehensive review on this topic.
  • The systematic review analyzed 128 studies, predominantly focusing on predicting anxiety (87 studies) and posttraumatic stress disorder (41 studies), mostly published since 2019 in computer science journals, with a greater emphasis on text data.
  • While many studies showed promising predictive power, significant variations in quality and reporting standards exist, and further standardization and research in clinical settings are needed for effective application in mental health diagnostics.
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Background: Insomnia is a highly prevalent disorder associated with numerous adverse health outcomes. Cognitive behavioural therapy for insomnia (CBT-I) is recommended as first-line treatment by clinical guidelines but is accessible to only a minority of patients suffering from insomnia. Internet-delivered CBT-I (iCBT-I) could contribute to the widespread dissemination of this first-line treatment.

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Article Synopsis
  • The study explores the impact of blended cognitive behavioral therapy (bCBT) on the working alliance and clinical outcomes in treating depression, comparing it to usual treatment (TAU).
  • Researchers analyzed data from the E-COMPARED trial involving 943 participants across Europe to evaluate working alliance scores and depression severity after 3 months.
  • Key findings include potential differences in working alliance between bCBT and TAU, and the relationship between system usability and working alliance within the bCBT group.
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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.

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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.

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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.

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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).

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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.

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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.

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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.

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Digital innovations in mental health offer great potential, but present unique challenges. Using a consensus development panel approach, an expert, international, cross-disciplinary panel met to provide a framework to conceptualise digital mental health innovations, research into mechanisms and effectiveness and approaches for clinical implementation. Key questions and outputs from the group were agreed by consensus, and are presented and discussed in the text and supported by case examples in an accompanying appendix.

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Providing therapist-guided cognitive behaviour therapy via the Internet (ICBT) has advantages, but a central research question is to what extent similar clinical effects can be obtained as with gold-standard face-to-face cognitive behaviour therapy (CBT). In a previous meta-analysis published in this journal, which was updated in 2018, we found evidence that the pooled effects for the two formats were equivalent in the treatment of psychiatric and somatic disorders, but the number of published randomized trials was relatively low (n=20). As this is a field that moves rapidly, the aim of the current study was to conduct an update of our systematic review and meta-analysis of the clinical effects of ICBT vs.

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Background: Internet-based cognitive behavioral therapy (iCBT) services for common mental health disorders have been found to be effective. There is a need for strategies that improve implementation in routine practice. One-size-fits-all strategies are likely to be ineffective.

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There is an unmet need for effective early interventions that can relieve initial trauma symptoms and reduce symptoms of posttraumatic stress disorder (PTSD). We evaluated the efficacy of cognitive interventions compared to control in reducing intrusion frequency and PTSD symptoms in healthy individuals using the trauma film paradigm, in which participants view a film with aversive content as an experimental analogue of trauma exposure. A systematic literature search identified 41 experiments of different cognitive interventions targeting intrusions.

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Background: There is a great evidence base today for the effectiveness of e-mental health, or the use of technology in mental healthcare. However, large-scale implementation in mental healthcare organisations is lacking, especially in inpatient specialized mental healthcare settings.

Aim: The current study aimed to gain insights into the factors that promote or hinder the implementation of e-mental health applications on organisational, professional and patient levels in Belgium.

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Background: Young adults' drinking habits often exceed low-risk drinking guidelines. As young adults show increased access, use, and interest in personalized content related to physical and mental well-being, mobile applications might be a suitable tool to reach this target group. This study investigates the effectiveness of "Boozebuster", a self-guided mobile application incorporating various therapeutic principles to reduce young adults' alcohol consumption to not exceeding low-risk drinking guideline levels, compared to an educational website condition.

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