Pupong Kittiwara, Hunsrisakhun Jaranya, Pithpornchaiyakul Samerchit, Naorungroj Supawadee
Dental Public Health Division, Maelan Hospital, Pattani, Thailand.
Department of Preventive Dentistry, Faculty of Dentistry, Prince of Songkla University, 15 Kanjanavanich Rd, Hatyai, Songkhla, 90112, Thailand, 66 74429875, 66 74429875.
JMIR Pediatr Parent. 2025 Feb 3;8:e62738. doi: 10.2196/62738.
Chatbots are increasingly accepted in public health for their ability to replicate human-like communication and provide scalable, 24/7 services. The high prevalence of dental caries in children underscores the need for early and effective intervention.
This study aimed to develop the 30-Day FunDee chatbot and evaluate its effectiveness, usability, and acceptability in delivering oral health education to caregivers of children aged 6 to 36 months.
The chatbot was created using the artificial intelligence (AI) chatbot behavior change model, integrating behavioral change theories into content designed for 3-5 minutes of daily use over 30 days. A pre-post experimental study was conducted from December 2021 to February 2022 in Hat Yai District, Songkhla Province, and Maelan District, Pattani Province, Thailand. Fifty-eight caregivers completed a web-based structured questionnaire at baseline and 2 months post baseline to evaluate knowledge, protection motivation theory-based perceptions, and tooth-brushing practices. Usability was assessed via chatbot logfiles and a web-based questionnaire at 2 months post baseline. Acceptability was evaluated through three methods: (1) open-ended chatbot interactions on day 30, (2) a web-based structured questionnaire at 2 months post baseline, and (3) semistructured telephone interviews with 15 participants 2 weeks post intervention. Participants for interviews were stratified by adherence levels and randomly selected from Hatyai and Maelan districts. All self-reported variables were measured on a 5-point Likert scale (1=lowest, 5=highest).
The chatbot was successfully developed based on the 4 components of the AI chatbot behavior change model. Participants had a mean age of 34.5 (SD 8.6) years. The frequency of tooth brushing among caregivers significantly improved, increasing from 72.4% at baseline to 93.1% two months post baseline (P=.006). Protection motivation theory-based perceptions also showed significant improvement, with mean scores rising from 4.0 (SD 0.6) at baseline to 4.5 (SD 0.6) two months post baseline (P<.001). The chatbot received high ratings for satisfaction (4.7/5, SD 0.6) and usability (4.7/5, SD 0.5). Participants engaged with the chatbot for an average of 24.7 (SD 7.2) days out of 30. Caregivers praised the chatbot's content quality, empathetic communication, and multimedia design, but noted the intervention's lengthy duration and messaging system as limitations.
The 30-Day FunDee chatbot effectively enhanced caregivers' perceptions of oral health care and improved tooth-brushing practices for children aged 6-36 months. High user satisfaction and engagement demonstrate its potential as an innovative tool for oral health education. These findings warrant further validation through large-scale, randomized controlled trials.
聊天机器人因其能够模拟类人交流并提供全天候、可扩展的服务,在公共卫生领域越来越被接受。儿童龋齿的高发病率凸显了早期有效干预的必要性。
本研究旨在开发为期30天的FunDee聊天机器人,并评估其在为6至36个月大儿童的照顾者提供口腔健康教育方面的有效性、可用性和可接受性。
该聊天机器人是使用人工智能(AI)聊天机器人行为改变模型创建的,将行为改变理论整合到为30天内每天使用3至5分钟而设计的内容中。2021年12月至2022年2月在泰国宋卡府合艾区和北大年府麦兰区进行了一项前后对照实验研究。58名照顾者在基线时和基线后2个月完成了一份基于网络的结构化问卷,以评估知识、基于保护动机理论的认知以及刷牙习惯。在基线后2个月通过聊天机器人日志文件和一份基于网络的问卷评估可用性。通过三种方法评估可接受性:(1)在第30天进行开放式聊天机器人互动;(2)在基线后2个月进行基于网络的结构化问卷;(3)在干预后2周对15名参与者进行半结构化电话访谈。访谈参与者按依从水平分层,并从合艾区和麦兰区随机选取。所有自我报告的变量均采用5点李克特量表进行测量(1=最低,5=最高)。
该聊天机器人基于AI聊天机器人行为改变模型的4个组件成功开发。参与者的平均年龄为34.5(标准差8.6)岁。照顾者的刷牙频率显著提高,从基线时的72.4%增至基线后2个月的93.1%(P=0.006)。基于保护动机理论的认知也有显著改善,平均得分从基线时的4.0(标准差0.6)升至基线后2个月的4.5(标准差0.6)(P<0.001)。该聊天机器人在满意度(4.7/5,标准差0.6)和可用性(4.7/5,标准差0.5)方面获得了高分。在30天里,参与者平均与聊天机器人互动24.7(标准差7.2)天。照顾者称赞聊天机器人的内容质量、共情交流和多媒体设计,但指出干预时间长和信息系统是其局限性。
为期30天的FunDee聊天机器人有效增强了照顾者对口腔保健的认知,并改善了6至36个月大儿童的刷牙习惯。高用户满意度和参与度证明了其作为口腔健康教育创新工具的潜力。这些发现值得通过大规模随机对照试验进一步验证。