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Diminishing Effects After Recurrent Use of Self-Guided Internet-Based Interventions in Depression: Randomized Controlled Trial

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Background Self-guided internet-based interventions have several advantages over guided interventions and are generally effective in treating psychiatric symptoms. Objective We aimed to investigate whether the use of a new self-guided… Click to show full abstract

Background Self-guided internet-based interventions have several advantages over guided interventions and are generally effective in treating psychiatric symptoms. Objective We aimed to investigate whether the use of a new self-guided internet-based intervention (MOOD) would lead to a significant reduction in depressive symptoms compared with a care-as-usual (CAU) control group in a sample of individuals with depressive symptoms, most of whom had already used a different self-guided internet-based intervention in a previous trial. Methods A total of 125 individuals were randomized to the intervention condition (MOOD) and received access to the intervention for a period of six weeks or a CAU group. After six weeks, all participants were invited to take part in the post assessment. The Beck Depression Inventory-II served as the primary outcome. Results Both intention-to-treat as well as per-protocol analyses indicated that the depressive symptomatology decreased in both conditions but showed no advantage for those who had used MOOD. Subsequent moderation analyses suggested that those individuals who had less experience with psychotherapy benefitted to a greater extent compared with those with more experience. Conclusions Self-guided internet-based interventions are deemed a suitable first-step approach to the treatment of depression. However, our results indicate that they are more efficacious in those with less psychotherapy experience. Trial Registration ClinicalTrials.gov NCT03795480; http://clinicaltrials.gov/ct2/show/NCT03795480

Keywords: internet based; guided internet; internet; self guided; based interventions

Journal Title: Journal of Medical Internet Research
Year Published: 2019

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