Publications by authors named "Karyotaki E"

Background: Available empirical evidence on participant-level factors associated with dropout from psychotherapies for post-traumatic stress disorder (PTSD) is both limited and inconclusive. More comprehensive understanding of the various factors that contribute to study dropout from cognitive-behavioural therapy with a trauma focus (CBT-TF) is crucial for enhancing treatment outcomes.

Objective: Using an individual participant data meta-analysis (IPD-MA) design, we examined participant-level predictors of study dropout from CBT-TF interventions for PTSD.

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Article Synopsis
  • Cognitive-behavioral therapy (CBT) is identified as the most researched treatment for eating disorders, with a focus on its efficacy in clinical outcomes.
  • A new meta-analysis included 36 trials involving 2,809 participants, highlighting CBT's effectiveness compared to control conditions, especially for binge eating disorder and bulimia nervosa.
  • While the overall effect size for CBT was significant, indicating its benefits, a notable portion of patients still did not achieve sufficient improvement, suggesting the need for further research and alternative treatments.
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Aims: There is considerable evidence that waiting list (WL) control groups overestimate the effect sizes of psychotherapies for depression. It is not clear, however, what are the exact causes for this overestimation. We decided to conduct a meta-analytic study to compare trials on psychotherapy for depression with a WL control group against trials with a care-as-usual (CAU) control group.

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Background: The varying sizes of effects in published meta-analyses on digital interventions for depression prompt questions about their efficacy.

Methods: A systematic search in Embase, PsycINFO, and PubMed identified 125 randomised controlled trials up to February 2023, comparing digital interventions for depression against inactive controls. The stability of results was evaluated with a multiverse meta-analysis, thousands of meta-analyses were conducted based on different combinations of analytical choices, like target populations, intervention characteristics, and study designs.

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In the past decade, there has been an increasing focus within scientific research on how to assist people affected by the negative consequences of trauma and crises around the globe. As many countries struggle with a lack of resources to deliver mental health interventions, scalable strategies have been developed to help more people in need. These scalable strategies were the theme of the 39th annual meeting of the International Society for Traumatic Stress Studies (ISTSS).

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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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Background: Despite promising scalability and accessibility, evidence on the efficacy of self-guided interventions for adult depression is inconclusive. This study investigated their effectiveness and acceptability, considering diverse delivery formats and support levels.

Methods: We systematically searched PubMed, PsycINFO, Embase, and Cochrane Library until 1st January 2024.

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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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Scalable psychological interventions such as the WHO's Self-Help Plus (SH+) have been developed for clinical and non-clinical populations in need of psychological support. SH+ has been successfully implemented to prevent common mental disorders among asylum seekers and refugees who are growing in number due to increasing levels of forced migration. These populations are often exposed to multiple, severe sources of traumatisation, and evidence of the effect of such events on treatment is insufficient, especially for non-clinical populations.

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Background: Given the growth in research examining the effects of psychotherapy on social anxiety disorder (SAD), an up-to-date comprehensive meta-analysis in this field is needed.

Methods: We selected studies from a database of randomized trials (RCTs) on psychotherapies for anxiety disorders (last updated search of PubMed, PsycINFO, Embase, and Cochrane (CENTRAL): 1 January 2024) We included RCTs comparing psychotherapy to a control condition for adults with SAD and conducted random effects meta-analyses to examine the efficacy of psychotherapy compared to control conditions at post-treatment.

Results: Sixty-six RCTs were included with 5560 participants and 98 comparisons between psychotherapy and control groups.

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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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When studies use different scales to measure continuous outcomes, standardised mean differences (SMD) are required to meta-analyse the data. However, outcomes are often reported as endpoint or change from baseline scores. Combining corresponding SMDs can be problematic and available guidance advises against this practice.

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Background: Over the past decades dozens of randomized trials have shown that psychological treatments are more effective than care-as-usual (CAU). It could be expected that these treatments are implemented in routine care and that the response rates in usual care improve over time. The aim of the current meta-analysis is to examine if response and remission rates in usual care have improved over time.

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Article Synopsis
  • * In 2022/2023, extensive community-based research was conducted, gathering insights from 1,756 caregivers, 1,201 youth, 404 teachers, and 475 health professionals through surveys and focus groups.
  • * The resulting dataset, which includes quantitative and qualitative findings, is publicly available and aims to guide future research and training in mental health, potentially serving as a model for similar initiatives in other countries.
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Introduction: Forcibly displaced people (FDP) have a high risk of developing mental disorders such as post-traumatic stress (PTS) disorder. Providing adequate mental healthcare for FDP is crucial but despite overall efficacy of many existing interventions, a large proportion of FDP does not benefit from treatment, highlighting the necessity of further investigating factors contributing to individual differences in treatment outcome. Yet, the few studies that have explored moderators of treatment effects are often insufficiently powered.

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Background: Non-directive supportive therapy (NDST) is an important treatment of adult depression, but no recent meta-analysis has integrated the randomized trials examining its effects.

Methods: We conducted a meta-analysis comparing NDST to control conditions and to other therapies, by using an existing database of randomized trials of psychological treatments of depression in adults. This database was built through searches in PubMed, PsycINFO, Embase and the Cochrane Library.

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Background: Community health workers (CHWs) face high levels of stress (both professional and personal) and risk of burnout, highlighting the need for efforts to promote their mental health and well-being. This study seeks to develop a digital stress reduction program for CHWs in rural India.

Methods: A stepwise design process was employed to adapt and digitize the evidence-based World Health Organization's Self-Help Plus (SH+) intervention for addressing psychological distress among CHWs in Madhya Pradesh, India.

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Background: This systematic review and individual participant data meta-analysis (IPDMA) examined the overall effectiveness of eye movement desensitization and reprocessing (EMDR) in reducing posttraumatic stress disorder (PTSD) symptoms, achieving response and remission, and reducing treatment dropout among adults with PTSD compared to other psychological treatments. Additionally, we examined available participant-level moderators of the efficacy of EMDR.

Methods: This study included randomized controlled trials.

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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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High perceived stress is associated with psychological and academic difficulties among college students. In this study, we aimed to investigate associations of student status (international vs domestic student in the Netherlands) with eight common sources of stress (i.e.

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Background: In low-resource settings, e-mental health may substantially increase access to evidence-based interventions for common mental disorders. We conducted a systematic literature search to identify randomised trials examining the effects of digital interventions with or without therapeutic guidance compared to control conditions in individuals with anxiety and/or depression symptoms in low- and middle-income countries (LMICs).

Methods: The main outcome was the reduction in symptoms at the post-test.

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Since the 1970s, hundreds of randomized trials have examined the effects of psychotherapies for depression, and this number is increasing every year. In this study, we report outcomes from a living systematic review of these studies. We use Poisson regression analyses to examine if the proportions of studies have changed over time across the characteristics of the participants, therapies, and studies.

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Background: Transitioning to adulthood and challenges in university life can result in increased stress levels among university students. Chronic and severe stress is associated with deleterious psychological and physiological effects. Digital interventions could succeed in approaching and helping university students who might be at risk; however, the experiences of students with internet-based stress management interventions are insufficiently understood.

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