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.
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.
View Article and Find Full Text PDFBackground: 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.
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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