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Symptom-specific effectiveness of an internet-based intervention in the treatment of mild to moderate depressive symptomatology: The potential of network estimation techniques

干预(咨询) 萧条(经济学) 随机对照试验 心理干预 临床心理学 抑郁症状 医学 精神科 心理学 物理疗法 焦虑 内科学 宏观经济学 经济
作者
Lynn Boschloo,Pim Cuijpers,Eirini Karyotaki,Thomas Berger,Steffen Moritz,Björn Meyer,Jan Klein
出处
期刊:Behaviour Research and Therapy [Elsevier]
卷期号:122: 103440-103440 被引量:15
标识
DOI:10.1016/j.brat.2019.103440
摘要

The internet-based intervention Deprexis® has proven to be effective in improving overall depression severity. The current pragmatic randomized controlled trial included 1013 participants with mild to moderate symptomatology and aimed to identify the symptom-specific effects of the internet-based intervention Deprexis (intervention group) in comparison to care as usual (control group). All participants -in both conditions- were permitted to use any type of treatment. Of the nine considered symptoms (assessed with the Patient Health Questionnaire), seven showed larger improvements in the intervention condition relative to care as usual (effect sizes ranging from 0.15 to 0.31). No significant differences were found for the two other symptoms. In a next step, a network was estimated including treatment condition as well as changes in all nine symptoms. The resulting network suggests that four of the seven identified symptom-specific effects were direct, whereas the three other symptom-specific effects were indirect and could be explained by effects on other symptoms. Lastly, exploratory analyses showed that the intervention was more effective in improving overall depression severity for participants with higher scores on those four symptoms that were directly affected by the intervention; consequently, the network estimation techniques showed potential in precision psychiatry. • Internet interventions are effective in improving overall depression severity. • The symptom-specific effectiveness is, however, never considered. • This study showed that the symptom-specific effects of the intervention differ. • Network estimation techniques were used to distinguish direct vs. indirect effects. • The techniques helped in identifying participants who were likely to benefit most.
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