Effects of a Chatbot-Based Intervention on Stress and Health-Related Parameters in a Stressed Sample: Randomized Controlled Trial.

IF 4.8 2区 医学 Q1 PSYCHIATRY
Jmir Mental Health Pub Date : 2024-05-28 DOI:10.2196/50454
Christine Schillings, Echo Meißner, Benjamin Erb, Eileen Bendig, Dana Schultchen, Olga Pollatos
{"title":"Effects of a Chatbot-Based Intervention on Stress and Health-Related Parameters in a Stressed Sample: Randomized Controlled Trial.","authors":"Christine Schillings, Echo Meißner, Benjamin Erb, Eileen Bendig, Dana Schultchen, Olga Pollatos","doi":"10.2196/50454","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Stress levels and the prevalence of mental disorders in the general population have been rising in recent years. Chatbot-based interventions represent novel and promising digital approaches to improve health-related parameters. However, there is a lack of research on chatbot-based interventions in the area of mental health.</p><p><strong>Objective: </strong>The aim of this study was to investigate the effects of a 3-week chatbot-based intervention guided by the chatbot ELME, specifically with respect to the ability to reduce stress and improve various health-related parameters in a stressed sample.</p><p><strong>Methods: </strong>In this multicenter two-armed randomized controlled trial, 118 individuals with medium to high stress levels were randomized to the intervention group (n=59) or the treatment-as-usual control group (n=59). The ELME chatbot guided participants of the intervention group through 3 weeks of training based on the topics stress, mindfulness, and interoception, with practical and psychoeducative elements delivered in two daily interactive intervention sessions via a smartphone (approximately 10-20 minutes each). The primary outcome (perceived stress) and secondary outcomes (mindfulness; interoception or interoceptive sensibility; subjective well-being; and emotion regulation, including the subfacets reappraisal and suppression) were assessed preintervention (T1), post intervention (T2; after 3 weeks), and at follow-up (T3; after 6 weeks). During both conditions, participants also underwent ecological momentary assessments of stress and interoceptive sensibility.</p><p><strong>Results: </strong>There were no significant changes in perceived stress (β<sub>03</sub>=-.018, SE=.329; P=.96) and momentary stress. Mindfulness and the subfacet reappraisal significantly increased in the intervention group over time, whereas there was no change in the subfacet suppression. Well-being and momentary interoceptive sensibility increased in both groups over time.</p><p><strong>Conclusions: </strong>To gain insight into how the intervention can be improved to achieve its full potential for stress reduction, besides a longer intervention duration, specific sample subgroups should be considered. The chatbot-based intervention seems to have the potential to improve mindfulness and emotion regulation in a stressed sample. Future chatbot-based studies and interventions in health care should be designed based on the latest findings on the efficacy of rule-based and artificial intelligence-based chatbots.</p><p><strong>Trial registration: </strong>German Clinical Trials Register DRKS00027560; https://drks.de/search/en/trial/DRKS00027560.</p><p><strong>International registered report identifier (irrid): </strong>RR2-doi.org/10.3389/fdgth.2023.1046202.</p>","PeriodicalId":48616,"journal":{"name":"Jmir Mental Health","volume":"11 ","pages":"e50454"},"PeriodicalIF":4.8000,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11167325/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jmir Mental Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2196/50454","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Stress levels and the prevalence of mental disorders in the general population have been rising in recent years. Chatbot-based interventions represent novel and promising digital approaches to improve health-related parameters. However, there is a lack of research on chatbot-based interventions in the area of mental health.

Objective: The aim of this study was to investigate the effects of a 3-week chatbot-based intervention guided by the chatbot ELME, specifically with respect to the ability to reduce stress and improve various health-related parameters in a stressed sample.

Methods: In this multicenter two-armed randomized controlled trial, 118 individuals with medium to high stress levels were randomized to the intervention group (n=59) or the treatment-as-usual control group (n=59). The ELME chatbot guided participants of the intervention group through 3 weeks of training based on the topics stress, mindfulness, and interoception, with practical and psychoeducative elements delivered in two daily interactive intervention sessions via a smartphone (approximately 10-20 minutes each). The primary outcome (perceived stress) and secondary outcomes (mindfulness; interoception or interoceptive sensibility; subjective well-being; and emotion regulation, including the subfacets reappraisal and suppression) were assessed preintervention (T1), post intervention (T2; after 3 weeks), and at follow-up (T3; after 6 weeks). During both conditions, participants also underwent ecological momentary assessments of stress and interoceptive sensibility.

Results: There were no significant changes in perceived stress (β03=-.018, SE=.329; P=.96) and momentary stress. Mindfulness and the subfacet reappraisal significantly increased in the intervention group over time, whereas there was no change in the subfacet suppression. Well-being and momentary interoceptive sensibility increased in both groups over time.

Conclusions: To gain insight into how the intervention can be improved to achieve its full potential for stress reduction, besides a longer intervention duration, specific sample subgroups should be considered. The chatbot-based intervention seems to have the potential to improve mindfulness and emotion regulation in a stressed sample. Future chatbot-based studies and interventions in health care should be designed based on the latest findings on the efficacy of rule-based and artificial intelligence-based chatbots.

Trial registration: German Clinical Trials Register DRKS00027560; https://drks.de/search/en/trial/DRKS00027560.

International registered report identifier (irrid): RR2-doi.org/10.3389/fdgth.2023.1046202.

基于聊天机器人的干预对压力样本中压力和健康相关参数的影响:随机对照试验
背景:近年来,普通人群的压力水平和精神疾病患病率不断上升。基于聊天机器人的干预措施是改善健康相关参数的新颖而有前景的数字方法。然而,在心理健康领域,基于聊天机器人的干预措施还缺乏研究:本研究旨在调查由聊天机器人 ELME 指导的为期 3 周的聊天机器人干预的效果,特别是在压力样本中减轻压力和改善各种健康相关参数的能力:在这项多中心双臂随机对照试验中,118 名具有中度至高度压力水平的人被随机分配到干预组(59 人)或照常治疗对照组(59 人)。ELME聊天机器人指导干预组的参与者进行为期3周的培训,培训主题包括压力、正念和内感知,每天通过智能手机进行两次互动干预(每次约10-20分钟),培训内容包括实践和心理教育。在干预前(T1)、干预后(T2;3 周后)和随访时(T3;6 周后)对主要结果(感知到的压力)和次要结果(正念、内感知或内感知敏感性、主观幸福感和情绪调节,包括重新评估和抑制两个子方面)进行了评估。在这两种情况下,参与者还接受了压力和内感知敏感性的生态瞬间评估:结果:感知压力(β03=-.018,SE=.329;P=.96)和瞬间压力均无明显变化。随着时间的推移,干预组的正念和亚方面重评显著增加,而亚方面抑制没有变化。随着时间的推移,两组的幸福感和瞬间感受性都有所提高:为了深入了解如何改进干预措施以充分发挥其减压潜力,除了延长干预时间外,还应该考虑特定的样本分组。基于聊天机器人的干预似乎有可能改善压力样本的正念和情绪调节。未来在医疗保健领域开展基于聊天机器人的研究和干预时,应根据基于规则和人工智能的聊天机器人功效的最新研究成果进行设计:德国临床试验注册中心 DRKS00027560;https://drks.de/search/en/trial/DRKS00027560.International 注册报告标识符(irrid):RR2-doi.org/10.3389/fdgth.2023.1046202.
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Jmir Mental Health
Jmir Mental Health Medicine-Psychiatry and Mental Health
CiteScore
10.80
自引率
3.80%
发文量
104
审稿时长
16 weeks
期刊介绍: JMIR Mental Health (JMH, ISSN 2368-7959) is a PubMed-indexed, peer-reviewed sister journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR Mental Health focusses on digital health and Internet interventions, technologies and electronic innovations (software and hardware) for mental health, addictions, online counselling and behaviour change. This includes formative evaluation and system descriptions, theoretical papers, review papers, viewpoint/vision papers, and rigorous evaluations.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信