{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T17:03:29Z","timestamp":1790787809417,"version":"4.1.0"},"reference-count":58,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Pediatr Parent"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n 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.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n 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.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n The chatbot was created using the artificial intelligence (AI) chatbot behavior change model, integrating behavioral change theories into content designed for 3\u20105 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).<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n 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 (\n P<\/jats:italic>\n =.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 (\n P<\/jats:italic>\n <.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\u2019s content quality, empathetic communication, and multimedia design, but noted the intervention\u2019s lengthy duration and messaging system as limitations.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n The 30-Day FunDee chatbot effectively enhanced caregivers\u2019 perceptions of oral health care and improved tooth-brushing practices for children aged 6\u201036 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.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/62738","type":"journal-article","created":{"date-parts":[[2025,2,3]],"date-time":"2025-02-03T15:16:16Z","timestamp":1738595776000},"page":"e62738-e62738","source":"Crossref","is-referenced-by-count":20,"title":["Development of Chatbot-Based Oral Health Care for Young Children and Evaluation of its Effectiveness, Usability, and Acceptability: Mixed Methods Study"],"prefix":"10.2196","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5046-3933","authenticated-orcid":false,"given":"Kittiwara","family":"Pupong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0427-7213","authenticated-orcid":false,"given":"Jaranya","family":"Hunsrisakhun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6697-4751","authenticated-orcid":false,"given":"Samerchit","family":"Pithpornchaiyakul","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2840-327X","authenticated-orcid":false,"given":"Supawadee","family":"Naorungroj","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2025,2,3]]},"reference":[{"issue":"4","key":"R1","doi-asserted-by":"publisher","DOI":"10.2196\/27850","article-title":"Chatbot for health care and oncology applications using artificial intelligence and machine learning: systematic review","volume":"7","author":"Xu","journal-title":"JMIR Cancer"},{"key":"R2","doi-asserted-by":"crossref","unstructured":"Hung J . 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