NCT07351604

Effectiveness of Large Language Model-Based Chatbot Among Female University Stdents in Improving HPV Vaccine Awareness, Intention and Vaccination Rates

A Study on the Effectiveness of Large Language Model-Based Chatbot Interventions Among Female University Stdents in Improving HPV Vaccine Awareness, Intention and Vaccination Rates

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 18,000 (estimated)
• Sponsor: Xiamen University · Academic / Other
• Sex: All
• Age: 15 Years
• Healthy volunteers: Accepted

Summary

This is an interventional study targeting female university students. The primary objective of the study is to evaluate the effectiveness of a vaccine chatbot in improving HPV vaccination rates. The secondary objectives are to evaluate the effectiveness in improving vaccine awareness and vaccination intention. All participants will be enrolled and randomly assigned to four groups: (1) vaccine chatbot plus scientific videos, (2) vaccine chatbot only, (3) scientific videos only, and (4) a control group (no intervention). The chatbot will provide immediate, validated answers to participants' HPV vaccine-related questions. The scientific videos will cover content related to HPV vaccine safety, efficacy, and other relevant information. The study will compare changes in HPV vaccine awareness, vaccination intention, and vaccination behavior between the intervention groups and the control group after the intervention to evaluate whether the three intervention strategies enhance HPV vaccine awareness, vaccination intention, and vaccination uptake.

Conditions

• HPV Vaccination Rates
• HPV Vaccine Awareness
• HPV Vaccination Intention

Interventions

Type	Name	Description
DEVICE	Scientific videos	Provide scientific videos related to HPV vaccine
DEVICE	Vaccine chatbot	Provide vaccine chatbot to answer HPV vaccine questions

Timeline

• Start date: 2026-04-01
• Primary completion: 2027-12-31
• Completion: 2027-12-31
• First posted: 2026-01-20
• Last updated: 2026-03-31