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基于互联网的个体化治疗中,针对具体成分的治疗依从性的影响。

The effects of component-specific treatment compliance in individually tailored internet-based treatment.

机构信息

Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden.

Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.

出版信息

Clin Psychol Psychother. 2019 May;26(3):298-308. doi: 10.1002/cpp.2351. Epub 2019 Feb 22.

Abstract

The objective of this study was to explore the effects of treatment compliance in a guided individually tailored internet-based treatment (TAIL) in relation to depression and co-morbid symptoms. Compliance with the homework in the different treatment components in TAIL, each aimed at a specific condition, was rated for 207 participants by independent assessors. Six subgroups (n = 34-131) were constructed consisting of participants with co-occurring symptoms of worry, panic, social anxiety, stress, insomnia, or pain. For each group, hierarchical regression was used to investigate whether the total sum of compliance points, Overall Compliance, predicted reductions in depression and in condition-specific symptoms. Also, in each subgroup, it was tested whether working with specific treatment components, Specific Compliance, predicted reduction of the targeted symptoms. Overall Compliance predicted 15% of the reduction in depression symptoms. For participants with worry, panic, social anxiety, stress, or insomnia, Overall Compliance also predicted symptom reductions in that specific condition. Specific Compliance predicted reduction in the targeted symptoms for participants with social anxiety, stress, and insomnia. Specific Compliance with stress and insomnia components also predicted reductions in depression. Our results strengthen the importance of compliance in internet-based treatments. Because compliance with stress and insomnia components was particularly important for broad symptom reductions, these conditions should not be ignored when treating patients with co-morbid symptoms.

摘要

本研究旨在探讨治疗依从性在基于互联网的个体化指导治疗(TAIL)中对抑郁和共病症状的影响。本研究对 207 名参与者在 TAIL 中不同治疗成分的家庭作业进行了独立评估者的依从性评估,这些治疗成分旨在针对特定的情况。根据同时存在的担忧、恐慌、社交焦虑、压力、失眠或疼痛症状,将参与者分为六个亚组(n=34-131)。对于每个组,使用分层回归来调查总依从分数(Overall Compliance)是否可以预测抑郁和特定症状的减轻。此外,在每个亚组中,还检验了特定治疗成分的工作(Specific Compliance)是否可以预测针对症状的减轻。Overall Compliance 可预测 15%的抑郁症状减轻。对于同时存在担忧、恐慌、社交焦虑、压力或失眠的参与者,Overall Compliance 也可预测特定条件下的症状减轻。对于社交焦虑、压力和失眠的参与者,Specific Compliance 可预测针对症状的减轻。Specific Compliance 与压力和失眠成分的依从性也可预测抑郁的减轻。我们的结果强调了互联网治疗中依从性的重要性。因为压力和失眠成分的依从性对于广泛的症状减轻尤为重要,因此在治疗共病症状的患者时,不应忽视这些情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/40cf/6635903/d198f2673df6/CPP-26-298-g001.jpg

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