Combining an Effective Rule-based Chatbot With ChatGPT-supported Real-time Question-answer Functions to Promote Seasonal Influenza Vaccination Among Community-dwelling People Aged 65 Years and Above

November 8, 2026 updated by: Zixin Wang, Chinese University of Hong Kong

Combining an Effective Rule-based Chatbot With ChatGPT-supported Real-time Question-answer Functions to Promote Seasonal Influenza Vaccination Among Community-dwelling People Aged 65 Years and Above: a Partially Blinded Randomized Controlled Trial

This study is a partially blinded (outcome assessors and data analysts) and parallel-group randomized controlled trial. Community-dwelling people aged ≥65 years who have not received the SIV for the approaching flu season will be randomized evenly (1:1) into either the intervention group or the control group. During the intervention period, the intervention group will have access to the hybrid combination of a rule-based chatbot (SIV-Chatbot) with the ChatGPT-supported real-time Question & Answer (QA) functions, while the control group will have access only to the SIV-Chatbot.

The SIV-Chatbot will deliver the same interventions for both groups. The number of intervention sessions (four) and timing (week 0, 2, 4 & 6) will also be the same. In the intervention group, the hybrid Chatbot will invite the participants to raise open-ended questions related to SIV using flexible methods (such as voice messages, typing with keyboards, or handwriting) at each session. The ChatGPT will answer these questions immediately in the format of text messages. The functions can be used repeatedly throughout the intervention period (weeks 0-6), and participants will be free to spend as much time as they want on such functions.

Telephone interviews will be conducted at baseline (T0), after completion of the intervention (T1), and six months after T1 (T2). The primary outcome will be the self-reported SIV uptake measured at T2. The research team will validate that outcome by requesting the participants upload an image of their SIV receipt, while hiding their personal identification, via the WhatsApp account used in this study.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

454

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

65 years and older (Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • aged ≥65 years
  • possession of a Hong Kong ID
  • able to speak and comprehend Cantonese
  • have a smartphone with internet access
  • have either installed or are willing to install WhatsApp on their smartphone
  • have not taken seasonal influenza vaccination for the approaching flu season

Exclusion Criteria:

  • score ≤16 in the validated telephone version of the Cantonese Mini-Mental State Examination (T-CMMSE)
  • either blindness or deafness
  • with known contraindications to the SIV as indicated by the Hong Kong Centre for Health Protection (e.g., history of severe allergic reactions to any of the vaccine component or a previous dose of SIV and bleeding disorders)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Intervention group

Have access to the hybrid combination of a rule-based chatbot (SIV-Chatbot) with the ChatGPT-supported real-time QA functions

After assessing participants' stage of change (SOC) regarding SIV uptake, the rule-based component (SIV-Chatbot) will deliver online interventions tailored to their current SOC. There will be four intervention sessions at week 0, 2, 4 and 6. In addition, the hybrid Chatbot will invite the participants to raise open-ended questions related to SIV using flexible methods at each session. The ChatGPT will answer these questions immediately in the format of text messages. The functions can be used repeatedly throughout the intervention period (weeks 0-6), and participants will be free to spend as much time as they want on such functions.

Active Comparator: Control group

Have access only to a rule-based chatbot (SIV-Chatbot)

After assessing participants' stage of change (SOC) regarding SIV uptake, the rule-based chatbot (SIV-Chatbot) will deliver online interventions tailored to their current SOC. There will be four intervention sessions at week 0, 2, 4 and 6.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Uptake of seasonal influenza vaccination
Time Frame: Six months after completion of the intervention

The primary outcome will be the self-reported seasonal influenza vaccination uptake measured at T2 (six months after completion of the intervention). The research team will validate that outcome by requesting the participants upload an image of their receipt.

Six months after completion of the intervention

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Stage of change related to seasonal influenza vaccination uptake
Time Frame: T0 (baseline), T1 (after completion of intervention), and T2 (six months after completion of the intervention)

Participants' SOC will be measured at T0 (baseline), T1 (after completion of intervention), and T2 (six months after completion of the intervention) by using validated questions

T0 (baseline), T1 (after completion of intervention), and T2 (six months after completion of the intervention)
Knowledge and attitudes related to seasonal influenza vaccination
Time Frame: T0 (baseline) and T2 (6 months after completion of the intervention)

Knowledge and attitudes will be measured at T0 (baseline) and T2 (6 months after completion of the intervention) by validated tools

T0 (baseline) and T2 (6 months after completion of the intervention)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

November 16, 2026

Primary Completion (Estimated)

December 31, 2027

Study Completion (Estimated)

December 31, 2027

Study Registration Dates

First Submitted

November 8, 2026

First Submitted That Met QC Criteria

November 8, 2026

First Posted (Actual)

November 13, 2026

Study Record Updates

Last Update Posted (Actual)

November 13, 2026

Last Update Submitted That Met QC Criteria

November 8, 2026

Last Verified

November 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • GRF14611325

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

The data presented in this study are available from the corresponding author upon request. The data are not publicly available as they contain sensitive personal information.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.