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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
科研通AI2S应助www采纳,获得10
1秒前
liciky完成签到 ,获得积分10
1秒前
2秒前
2秒前
CodeCraft应助ZDJ采纳,获得10
2秒前
2秒前
四方发布了新的文献求助10
3秒前
ireswork完成签到,获得积分10
4秒前
stand应助怕黑的飞柏采纳,获得10
4秒前
stand应助怕黑的飞柏采纳,获得10
4秒前
stand应助怕黑的飞柏采纳,获得10
4秒前
stand应助怕黑的飞柏采纳,获得10
4秒前
stand应助怕黑的飞柏采纳,获得10
4秒前
4秒前
stand应助怕黑的飞柏采纳,获得10
4秒前
stand应助怕黑的飞柏采纳,获得10
4秒前
4秒前
善学以致用应助橙啊程采纳,获得10
6秒前
中原完成签到,获得积分20
6秒前
6秒前
xiaoyeken发布了新的文献求助200
7秒前
haowei发布了新的文献求助10
7秒前
量子星尘发布了新的文献求助10
7秒前
7秒前
zxyan发布了新的文献求助10
8秒前
HP完成签到,获得积分10
8秒前
中原发布了新的文献求助10
9秒前
beifa完成签到,获得积分10
9秒前
9秒前
Twonej应助星星采纳,获得30
10秒前
陈2026完成签到,获得积分10
10秒前
Ss完成签到,获得积分10
10秒前
小辉辉同学完成签到,获得积分10
11秒前
12秒前
CR完成签到,获得积分10
12秒前
药学小马发布了新的文献求助30
13秒前
蓝天应助DARLING002采纳,获得10
14秒前
量子星尘发布了新的文献求助10
14秒前
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
从k到英国情人 1500
Ägyptische Geschichte der 21.–30. Dynastie 1100
„Semitische Wissenschaften“? 1100
Russian Foreign Policy: Change and Continuity 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5729996
求助须知:如何正确求助?哪些是违规求助? 5321270
关于积分的说明 15317857
捐赠科研通 4876709
什么是DOI,文献DOI怎么找? 2619577
邀请新用户注册赠送积分活动 1569041
关于科研通互助平台的介绍 1525657