- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05424952
The Effectiveness of Conversational AI Service (chatbot) Utilization on Vaccine Confidence
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The investigators will focus on vulnerable seniors and/or children from Hong Kong, Singapore and Thailand who have refused or delayed COVID-19 vaccination. Participants will be recruited by an online panel to meet the target quota by age and sex. Participants will then be randomly assigned to the intervention group and the control group. For both intervention and control groups, evaluation questionnaires will be given out to the study participants asking questions about their demographics, including age, sex, educational level, employment status and household income levels. Participants will then answer questions regarding COVID-19 vaccine confidence, including the effectiveness and safety of vaccines, and the motivations of the policymakers who decided on the needed vaccines. Participants will be asked about COVID-19 vaccine acceptance including the intention to receive COVID-19 vaccines, make plans to receive COVID-19 vaccines, and receive at least one dose of COVID-19 vaccines. The intervention group will then be asked to use the chatbot developed by the research team for up to two weeks. The chatbot is developed under the RE-AIM framework for formative, impact, and process evaluation of the intervention. The control group will have no exposure to the chatbot.
The chatbot will be supported with data from 1) social listening analytics for monitoring local real-time discourses in the digital space on COVID-19 vaccine hesitancy and misinformation, and 2) formative, baseline, and endpoint evaluation, which will generate evidence for development and improvement/refinement.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Hong Kong adult residents (English or Chinese users) with (a) unvaccinated senior parents/grandparents aged 60 (including those who received first dose after the announcement of the COVID passport on 4th of January) or (b) unvaccinated children aged below 18.
- Thailand adult residents (Thai users) with (a) unvaccinated senior parents/grandparents aged 60 or above or (b) unvaccinated children aged below 18.
- Singapore adult residents (English or Chinese users) with unvaccinated children aged between 5 to 11 years old.
Exclusion Criteria:
- People who do not meet the inclusion criteria.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Control
Eligible adults with unvaccinated senior parents/grandparents or children.
|
|
|
Experimental: Intervention
Eligible adults with unvaccinated senior parents/grandparents or children.
|
WhatsApp or Messenger Chatbot for COVID-19 vaccines
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Covid-19 vaccines confidence Index
Time Frame: 1 week
|
The response is a 5-point Likert scale: (a) Strongly agree (b)Tend to agree (c) Do not know (d) Tend to disagree (e) Strongly disagree |
1 week
|
|
Covid-19 vaccines acceptance
Time Frame: 1 week
|
|
1 week
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Joseph T Wu, PhD, The University of Hong Kong
Publications and helpful links
General Publications
- Glasgow RE, Vogt TM, Boles SM. Evaluating the public health impact of health promotion interventions: the RE-AIM framework. Am J Public Health. 1999 Sep;89(9):1322-7. doi: 10.2105/ajph.89.9.1322.
- Gaglio B, Shoup JA, Glasgow RE. The RE-AIM framework: a systematic review of use over time. Am J Public Health. 2013 Jun;103(6):e38-46. doi: 10.2105/AJPH.2013.301299. Epub 2013 Apr 18.
- de Figueiredo A, Simas C, Karafillakis E, Paterson P, Larson HJ. Mapping global trends in vaccine confidence and investigating barriers to vaccine uptake: a large-scale retrospective temporal modelling study. Lancet. 2020 Sep 26;396(10255):898-908. doi: 10.1016/S0140-6736(20)31558-0. Epub 2020 Sep 10.
- Kobayashi T, Nishina Y, Tomoi H, et al. Corowa-kun: Impact of a COVID-19 vaccine information chatbot on vaccine hesitancy, Japan 2021. medRxiv 2021: 2021.05.26.21257854.
- Larson HJ, Smith DM, Paterson P, Cumming M, Eckersberger E, Freifeld CC, Ghinai I, Jarrett C, Paushter L, Brownstein JS, Madoff LC. Measuring vaccine confidence: analysis of data obtained by a media surveillance system used to analyse public concerns about vaccines. Lancet Infect Dis. 2013 Jul;13(7):606-13. doi: 10.1016/S1473-3099(13)70108-7. Epub 2013 May 13.
- Wang Q, Yang L, Jin H, Lin L. Vaccination against COVID-19: A systematic review and meta-analysis of acceptability and its predictors. Prev Med. 2021 Sep;150:106694. doi: 10.1016/j.ypmed.2021.106694. Epub 2021 Jun 22.
- Zhang J, Featherstone JD, Calabrese C, Wojcieszak M. Effects of fact-checking social media vaccine misinformation on attitudes toward vaccines. Prev Med. 2021 Apr;145:106408. doi: 10.1016/j.ypmed.2020.106408. Epub 2021 Jan 1.
- Altay S, Hacquin AS, Chevallier C, Mercier H. Information delivered by a chatbot has a positive impact on COVID-19 vaccines attitudes and intentions. J Exp Psychol Appl. 2023 Mar;29(1):52-62. doi: 10.1037/xap0000400. Epub 2021 Oct 28.
- Thomala LL. Penetration rate of leading social networks in Hong Kong as of 3rd quarter 2020 (Link: https://www.statista.com/statistics/412500/hk-social-network-penetration/, last accessed on August 1, 2021). Statista; 2020.
- Kemp S. Digital 2021: Hong Kong (Link: https://datareportal.com/reports/digital-2021-hong-kong, last accessed on August 1, 2021). Data Reportal; 2021.
- Müller J. Social network penetration in Singapore Q3 2020 (Link: https://www.statista.com/statistics/284466/singapore-social-network-penetration/, last accessed on August 1, 2021). Statista; 2020.
- Huang C. Hong Kong faces uphill task to vaccinate its seniors against Covid-19 (Link: https://www.straitstimes.com/asia/east-asia/hong-kongs-uphill-push-to-vaccinate-its-seniors-against-covid-19, last accessed on August 1, 2021). The Straits Times. 2021.
- Steve. Lexicon. The LINE Phenomenon in Thailand - By the Numbers (Link: https://lexiconthai.com/blog/the-line-phenomenon-in-thailand-by-the-numbers/, last accessed on August 1, 2021), 2020.
- Agency T. Line in Thailand Internet Population (Link: https://www.twfdigital.com/blog/2020/04/line-user- stat-in-thailand-2020/, last accessed on August 1, 2021), 2020.
- Get bad news (Link: https://www.getbadnews.com/#intro, last accessed on August 1, 2021). 2021.
- Elkin J. WHO launches a chatbot on Facebook Messenger to combat COVID-19 misinformation. (Link: https://www.who.int/news-room/feature-stories/detail/who-launches-a-chatbot-powered-facebook- messenger-to-combat-covid-19-misinformation, last accessed: August 1, 2021). 2020.
- Larson HJ, Schulz WS, Tucker JD, Smith DM. Measuring vaccine confidence: introducing a global vaccine confidence index. PLoS Curr. 2015 Feb 25;7:ecurrents.outbreaks.ce0f6177bc97332602a8e3fe7d7f7cc4. doi: 10.1371/currents.outbreaks.ce0f6177bc97332602a8e3fe7d7f7cc4.
- SAGE. Report of the SAGE Working Group on Vaccine Hesitancy (Link: https://www.who.int/immunization/sage/meetings/2014/october/1_Report_WORKING_GROUP_vaccine_hesita ncy_final.pdf, last accessed on August 1, 2021), 2014.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- UW 21-659
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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.
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