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

TitleComparison of an AI Chatbot With a Nurse Hotline in Reducing Anxiety and Depression Levels in the General Population: Pilot Randomized Controlled Trial
Authors
KeywordsAI chatbot
anxiety
artificial intelligence
depression
effectiveness
Issue Date1-Jan-2025
PublisherJMIR Publications
Citation
JMIR Human Factors, 2025, v. 12 How to Cite?
AbstractBackground: 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.
Persistent Identifierhttp://hdl.handle.net/10722/364068

 

DC FieldValueLanguage
dc.contributor.authorChen, Chen-
dc.contributor.authorLam, Kok Tai-
dc.contributor.authorYip, Ka Man-
dc.contributor.authorSo, Hung Kwan-
dc.contributor.authorLum, Terry Yat Sang-
dc.contributor.authorWong, Ian Chi Kei-
dc.contributor.authorYam, Jason C.-
dc.contributor.authorChui, Celine Sze Ling-
dc.contributor.authorIp, Patrick-
dc.date.accessioned2025-10-21T00:35:26Z-
dc.date.available2025-10-21T00:35:26Z-
dc.date.issued2025-01-01-
dc.identifier.citationJMIR Human Factors, 2025, v. 12-
dc.identifier.urihttp://hdl.handle.net/10722/364068-
dc.description.abstractBackground: 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 χ<sup>2</sup> 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.-
dc.languageeng-
dc.publisherJMIR Publications-
dc.relation.ispartofJMIR Human Factors-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAI chatbot-
dc.subjectanxiety-
dc.subjectartificial intelligence-
dc.subjectdepression-
dc.subjecteffectiveness-
dc.titleComparison of an AI Chatbot With a Nurse Hotline in Reducing Anxiety and Depression Levels in the General Population: Pilot Randomized Controlled Trial-
dc.typeArticle-
dc.identifier.doi10.2196/65785-
dc.identifier.scopuseid_2-s2.0-105001046146-
dc.identifier.volume12-
dc.identifier.eissn2292-9495-
dc.identifier.issnl2292-9495-

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