Comparison of an AI Chatbot With a Nurse Hotline in Reducing Anxiety and Depression Levels in the General Population: Pilot Randomized Controlled Trial.

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES
JMIR Human Factors Pub Date : 2025-03-06 DOI:10.2196/65785
Chen Chen, Kok Tai Lam, Ka Man Yip, Hung Kwan So, Terry Yat Sang Lum, Ian Chi Kei Wong, Jason C Yam, Celine Sze Ling Chui, Patrick Ip
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Abstract

Background: Artificial intelligence (AI) chatbots have been customized to deliver on-demand support for people with mental health problems. However, the effectiveness of AI chatbots in tackling mental health problems among the general public in Hong Kong remains unclear.

Objective: This study aimed to develop a local AI chatbot and compare the effectiveness of the AI chatbot with a conventional nurse hotline in reducing the level of anxiety and depression among individuals in Hong Kong.

Methods: This study was a pilot randomized controlled trial conducted from October 2022 to March 2023, involving 124 participants allocated randomly (1:1 ratio) into the AI chatbot and nurse hotline groups. Among these, 62 participants in the AI chatbot group and 41 in the nurse hotline group completed both the pre- and postquestionnaires, including the GAD-7 (Generalized Anxiety Disorder Scale-7), PHQ-9 (Patient Health Questionnaire-9), and satisfaction questionnaire. Comparisons were conducted using independent and paired sample t tests (2-tailed) and the χ2 test to analyze changes in anxiety and depression levels.

Results: Compared to the mean baseline score of 5.13 (SD 4.623), the mean postdepression score in the chatbot group was 3.68 (SD 4.397), which was significantly lower (P=.008). Similarly, a reduced anxiety score was also observed after the chatbot test (pre vs post: mean 4.74, SD 4.742 vs mean 3.4, SD 3.748; P=.005), respectively. No significant differences were found in the pre-post scores for either depression (P=.38) or anxiety (P=.19). No statistically significant difference was observed in service satisfaction between the two platforms (P=.32).

Conclusions: The AI chatbot was comparable to the traditional nurse hotline in alleviating participants' anxiety and depression after responding to inquiries. Moreover, the AI chatbot has shown potential in alleviating short-term anxiety and depression compared to the nurse hotline. While the AI chatbot presents a promising solution for offering accessible strategies to the public, more extensive randomized controlled studies are necessary to further validate its effectiveness.

人工智能聊天机器人与护士热线在降低普通人群焦虑和抑郁水平方面的比较:试点随机对照试验。
背景:人工智能(AI)聊天机器人已经被定制,为有心理健康问题的人提供按需支持。然而,人工智能聊天机器人在解决香港公众心理健康问题方面的有效性尚不清楚。目的:本研究旨在开发本地人工智能聊天机器人,并比较人工智能聊天机器人与传统护士热线在减少香港个人焦虑和抑郁水平方面的有效性。方法:本研究是一项随机对照试验,于2022年10月至2023年3月进行,124名参与者按1:1的比例随机分配到人工智能聊天机器人组和护士热线组。其中,人工智能聊天机器人组的62名参与者和护士热线组的41名参与者完成了前问卷和后问卷,包括GAD-7(广泛性焦虑障碍量表-7)、PHQ-9(患者健康问卷-9)和满意度问卷。比较采用独立样本和配对样本t检验(双尾)和χ2检验,分析焦虑和抑郁水平的变化。结果:与基线平均评分5.13分(SD 4.623)相比,聊天机器人组抑郁后平均评分3.68分(SD 4.397),显著降低(P= 0.008)。同样,聊天机器人测试后也观察到焦虑评分降低(测试前与测试后:平均4.74,SD 4.742 vs平均3.4,SD 3.748;分别P = .005)。抑郁(P= 0.38)和焦虑(P= 0.19)的得分均无显著差异。两个平台的服务满意度差异无统计学意义(P= 0.32)。结论:人工智能聊天机器人在缓解被试问询后的焦虑和抑郁方面与传统护士热线相当。此外,与护士热线相比,人工智能聊天机器人在缓解短期焦虑和抑郁方面显示出了潜力。虽然人工智能聊天机器人为公众提供了一个很有前途的解决方案,但需要更广泛的随机对照研究来进一步验证其有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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