Evidence map›Paper›PMID 42804696›Full record

Trial reportJAMA network open2026

AI Chatbot Use for Human Papillomavirus Vaccine Literacy in Japan: A Randomized Clinical Trial.

Kana Kobayashi, Zhengdong Wu, Hana Tomoi, Ken Masuda, Heidi J Larson, Kathy Leung, Joseph T Wu, Leesa Lin

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06702423 (Enhancing Health Literacy Through Artificial Intelligence-Powered Chatbot), which is not on this map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06702423 nacompletednot on this map

Enhancing Health Literacy Through Artificial Intelligence-Powered Chatbot: A Randomized Controlled Trial on Addressing Human Papillomavirus Vaccination Misinformation Among Caregivers in Japan

TypeinterventionalSponsorThe University of Hong KongRan2024 to 2024Enrolled804ConditionsHealthyArmsAI-based chatbot, Leaflet
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Kana KobayashiDepartment of Infectious Disease Epidemiology and Dynamics, London School of Hygiene and Tropical Medicine Faculty of Epidemiology and Public Health, London, United Kingdom.
Zhengdong WuMoonrise Initiative, Hong Kong Special Administrative Region, Hong Kong, China.
Hana TomoiDepartment of Infectious Disease Epidemiology and Dynamics, London School of Hygiene and Tropical Medicine Faculty of Epidemiology and Public Health, London, United Kingdom.
Ken MasudaDepartment of Global Health, Nagasaki University School of Tropical Medicine and Global Health, Nagasaki, Japan.
Heidi J LarsonDepartment of Infectious Disease Epidemiology and Dynamics, London School of Hygiene and Tropical Medicine Faculty of Epidemiology and Public Health, London, United Kingdom.
Kathy LeungLaboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China.
Joseph T WuLaboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China.
Leesa LinDepartment of Infectious Disease Epidemiology and Dynamics, London School of Hygiene and Tropical Medicine Faculty of Epidemiology and Public Health, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Persistent misinformation and low confidence impede human papillomavirus (HPV) vaccine uptake in Japan. Artificial intelligence (AI)-driven conversational agents may provide scalable vaccine education, but randomized evidence for HPV vaccine communication remains limited. Objective: To determine whether an AI-driven HPV vaccine chatbot improves caregiver HPV vaccine literacy compared with a government leaflet. Design, Setting, and Participants: Parallel-group randomized clinical trial (RCT) conducted through a national research panel of female caregivers in Japan with unvaccinated daughters aged 12 to 18 years from November 30 to December 27, 2024, with 2-week follow-up. Interventions: Participants were randomized 1:1 to an AI-driven HPV vaccine chatbot or standard government HPV vaccine leaflet. Main outcomes and measures: The primary outcome was an HPV vaccine literacy, evaluated immediately after intervention to estimate immediate intervention efficacy and evaluated at 2-week follow-up to estimate durability. HPV vaccine literacy was measured using 7 factual questions about HPV and HPV vaccination; scores are shown on a 0 to 7 scale, with higher scores indicating more correct responses.The secondary outcome was decision to vaccinate at 2-week follow-up. Results: Among 848 randomized participants, 704 of 841 (83.7%) were included in the immediate modified intention-to-treat (mITT) analysis (353 chatbot, 351 leaflet) and 477 of 841 (56.7%) in the mITT analysis at 2 weeks (237 chatbot, 240 leaflet). A total of 447 of 703 participants (63.6%) were aged 40 to 49 years and had college or university education (472 of 703 participants [67.1%]). Immediately after the intervention, analysis of covariance-adjusted literacy was higher with the chatbot (adjusted mean difference, 0.30 points on the 0 to 7 scale; 95% CI, 0.18-0.43 points; P < .001). At the 2-week durability assessment, mean (SD) literacy increased by 0.40 (1.21) with the chatbot vs 0.28 (1.13) points with the leaflet; adjusted literacy again favored the chatbot (adjusted mean difference, 0.30 points; 95% CI, 0.13-0.47; P < .001). At 2 weeks, caregivers' vaccination decisions did not differ between groups (102 of 253 participants [40.3%] vs 103 of 260 participants [39.6%]; adjusted odds ratio, 0.74; 95% CI, 0.41 to 1.33; P = .31). Conclusions and Relevance: In this RCT of female caregivers in Japan, an AI-driven HPV vaccine chatbot produced higher adjusted HPV vaccine literacy than a government leaflet immediately after intervention and at 2-week follow-up, without a measurable short-term effect on vaccination decision. Conversational AI may complement official materials and health care professional recommendations. Trial Registration: ClinicalTrials.gov Identifier: NCT06702423.

Indexed as

CaregiversGenerative Artificial IntelligenceHealth LiteracyPapillomavirus InfectionsPapillomavirus VaccinesAdolescentAdultChildFemaleHumansJapanMiddle AgedPapillomavirus Vaccines

Identifiers

PMID42804696
PMCPMC13595185

What Socratic holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.