App-based conversational agents for tinnitus distress and mental health: A randomised controlled trial

基于应用程序的对话式代理在耳鸣困扰和心理健康方面的应用:一项随机对照试验

阅读:2

Abstract

Tinnitus is often accompanied by anxiety, depression, insomnia, and significant psychological distress, highlighting the need for accessible, evidence-based interventions. Internet-delivered cognitive behavioural therapy (iCBT) offers a scalable and standardised approach, and chatbots provide an emerging mode of automated delivery. This randomised controlled trial investigated the effectiveness of two app-based iCBT interventions for adults with persistent tinnitus (N = 105). Participants were randomly allocated to one of three conditions for eight weeks: a tinnitus-specific iCBT chatbot (Tinnibot), a general iCBT chatbot for mood and anxiety (Woebot), or a waiting-list control group. Outcomes were assessed at baseline and post-intervention and included tinnitus-related distress (Tinnitus Functional Index; primary outcome), anxiety (Generalised Anxiety Disorder Scale), depression (Patient Health Questionnaire), insomnia (Insomnia Severity Index), mindfulness (Mindful Attention Awareness Scale), and life satisfaction (Satisfaction with Life Scale). Analyses used mixed analysis of variance with an intention-to-treat approach. Both chatbot groups showed significant improvements in anxiety and depression relative to the control group. Tinnibot also produced significant improvements in insomnia severity. Tinnitus distress decreased in both chatbot groups, but only Tinnibot achieved a clinically meaningful reduction. Changes in mindfulness and life satisfaction were modest and did not differ between groups. These findings indicate that chatbot-delivered iCBT can improve comorbid symptoms associated with tinnitus, and that tinnitus-specific tailoring confers additional, clinically meaningful benefits for tinnitus distress.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。