学生压力管理辅导聊天机器人(MISHA App):随机对照试验。

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2024-06-26 DOI:10.2196/54945
Sandra Ulrich, Natascha Lienhard, Hansjörg Künzli, Tobias Kowatsch
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引用次数: 0

摘要

背景:在全球范围内,学生面临着越来越多的心理健康挑战,包括压力水平升高和幸福感下降,从而导致学习成绩问题和心理健康失调。然而,由于耻辱感和症状被低估,学生很少寻求有效的压力管理解决方案。健康领域的对话代理在减轻压力、抑郁和焦虑方面已显示出前景。然而,有关其对有压力的学生的有效性的研究仍然有限:本研究旨在为学生开发一种名为 MISHA 的会话代理压力管理辅导干预措施,并对其有效性、参与度和接受度进行评估:在一项非盲法随机对照试验中,通过网络招募了面临压力的瑞士学生。采用 1:1 的随机分配比例,将参与者(N=140)分配到干预组或候补对照组。对主要结果(即感知压力)和次要结果(包括抑郁、焦虑、心身症状和积极应对)的治疗效果进行自我评估,并使用重复测量方差分析和一般估计方程进行评价:按协议分析显示,压力、抑郁和躯体症状得到了改善,其效应大小为中等(Cohen d=-0.36 至 Cohen d=-0.60),而焦虑和积极应对没有变化(Cohen d=-0.29 和 Cohen d=0.13)。在意向治疗分析中也发现了类似的结果,表明压力有所减轻(β 估计值=-0.13,95% CI -0.20至-0.05;PC结论:研究结果表明,MISHA 在减少瑞士学生感知压力方面是可行的、可接受的和有效的。未来还需要对不同人群进行研究,例如压力水平较高的学生或与积极的对照组进行比较:德国临床试验注册 DRKS 00030004;https://drks.de/search/en/trial/DRKS00030004。
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A Chatbot-Delivered Stress Management Coaching for Students (MISHA App): Pilot Randomized Controlled Trial.

Background: Globally, students face increasing mental health challenges, including elevated stress levels and declining well-being, leading to academic performance issues and mental health disorders. However, due to stigma and symptom underestimation, students rarely seek effective stress management solutions. Conversational agents in the health sector have shown promise in reducing stress, depression, and anxiety. Nevertheless, research on their effectiveness for students with stress remains limited.

Objective: This study aims to develop a conversational agent-delivered stress management coaching intervention for students called MISHA and to evaluate its effectiveness, engagement, and acceptance.

Methods: In an unblinded randomized controlled trial, Swiss students experiencing stress were recruited on the web. Using a 1:1 randomization ratio, participants (N=140) were allocated to either the intervention or waitlist control group. Treatment effectiveness on changes in the primary outcome, that is, perceived stress, and secondary outcomes, including depression, anxiety, psychosomatic symptoms, and active coping, were self-assessed and evaluated using ANOVA for repeated measure and general estimating equations.

Results: The per-protocol analysis revealed evidence for improvement of stress, depression, and somatic symptoms with medium effect sizes (Cohen d=-0.36 to Cohen d=-0.60), while anxiety and active coping did not change (Cohen d=-0.29 and Cohen d=0.13). In the intention-to-treat analysis, similar results were found, indicating reduced stress (β estimate=-0.13, 95% CI -0.20 to -0.05; P<.001), depressive symptoms (β estimate=-0.23, 95% CI -0.38 to -0.08; P=.003), and psychosomatic symptoms (β estimate=-0.16, 95% CI -0.27 to -0.06; P=.003), while anxiety and active coping did not change. Overall, 60% (42/70) of the participants in the intervention group completed the coaching by completing the postintervention survey. They particularly appreciated the quality, quantity, credibility, and visual representation of information. While individual customization was rated the lowest, the target group fitting was perceived as high.

Conclusions: Findings indicate that MISHA is feasible, acceptable, and effective in reducing perceived stress among students in Switzerland. Future research is needed with different populations, for example, in students with high stress levels or compared to active controls.

Trial registration: German Clinical Trials Register DRKS 00030004; https://drks.de/search/en/trial/DRKS00030004.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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