NCT06405048

Brief Summary

The primary objective of this survey experiment study is to measure the impact of a mock-up Chinese fact-checking extension on the ability to dispel HPV and HPV vaccine-related misinformation among parents of middle school girls in China.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
1,200

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Apr 2024

Shorter than P25 for not_applicable

Geographic Reach
1 country

2 active sites

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

April 26, 2024

Completed
2 days until next milestone

Study Start

First participant enrolled

April 28, 2024

Completed
10 days until next milestone

First Posted

Study publicly available on registry

May 8, 2024

Completed
23 days until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 31, 2024

Completed
1 month until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2024

Completed
Last Updated

May 8, 2024

Status Verified

May 1, 2024

Enrollment Period

1 month

First QC Date

April 26, 2024

Last Update Submit

May 3, 2024

Conditions

Keywords

HPV vaccineknowledgemisinformationvaccine confidencefact-checking extension

Outcome Measures

Primary Outcomes (1)

  • Ability to debunk misinformation

    This outcome measures participants' ability to debunk misinformation about the HPV or HPV vaccine. Total debunking scores range from 0 to 10, with higher scores reflecting better debunking skills.

    Day 1, in a single survey

Secondary Outcomes (4)

  • HPV vaccination intention

    Day 1, in a single survey

  • HPV vaccine confidence

    Day 1, in a single survey

  • Tool acceptance

    Day 1, in a single survey

  • User experience of mock-up fact-checking extension

    Day 1, in a single survey

Study Arms (2)

Mock-up fact-checking extension intervention group

EXPERIMENTAL

Intervention group participants will engage with three modules: In Module 1, participants will examine six Weibo post screenshots, each featuring a mock-up of a Chinese fact-checking extension. Participants in the intervention group will assess a statement linked to the content of each post, which aligns with predefined HPV vaccine knowledge from section (b). Their response options will be: 1) Correct, 2) Incorrect, or 3) I don't know, taking into account both the post and the extension's feedback. In the module 2, participants will review four additional Weibo post screenshots, two of which include false information. Responses will follow the same format used in Module 1. In Module 3, participants will choose whether to view Weibo post screenshots with the fact-checking extension enabled or disabled. If they choose "Yes", the screenshot will be displayed with the extension; if "No", it will be shown without the extension.

Other: Mobile Weibo post screenshot with mock-up Chinese fact-checking extension

Control group

NO INTERVENTION

Control group participants will participate in three modules: In Modules 1 and 2, they will review six and four Weibo post screenshots, respectively, without the mock-up Chinese fact-checking extension. Participants will evaluate statements linked to the content of each post, aligning with predefined HPV vaccine knowledge from section (b). Their response options will be: 1) Correct, 2) Incorrect, or 3) I don't know, based solely on the content of the posts. In Module 3, participants will choose whether to view Weibo post screenshots with the fact-checking extension enabled or disabled. If they choose "Yes", the screenshot will be displayed with the extension; if "No", it will be shown without the extension.

Interventions

The intervention in this survey experiment involves mobile Weibo post screenshots equipped with a mock-up Chinese fact-checking browser extension. All screenshots are based on actual Weibo posts. The fact-checking content is generated by a Large Language Model (LLM), tailored to relevant knowledge and prompts, and subsequently validated by experts. The Weibo posts cover a range of popular topics known to contain misinformation, including infertility, safety, vaccine ingredients, high-risk cervical cancer types, regular check-ups, transmission routes, and others.

Mock-up fact-checking extension intervention group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Participants must be parents or legal guardians of female students currently enrolled in participating middle school.
  • The parent's or guardian's female middle school student must not have received the HPV vaccine, must not have an HPV vaccination appointment scheduled, and must not have any contraindications to receiving the HPV vaccine.
  • Participants must be free of mental health disorders or visual/reading disabilities that could prevent their full participation in and completion of the intervention activities.
  • Participants must have provided informed consent and expressed a willingness to actively participate throughout the study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (2)

Chizhou Health Center for Disease Control and Prevention

Chizhou, Anhui, 247100, China

Location

Jiading District Center for Disease Control and Prevention

Shanghai, Shanghai Municipality, 201800, China

Location

Related Publications (17)

  • Lee KY, Dabak SV, Kong VH, Park M, Kwok SLL, Silzle M, Rachatan C, Cook A, Passanante A, Pertwee E, Wu Z, Elkin JA, Larson HJ, Lau EHY, Leung K, Wu JT, Lin L. Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore. NPJ Digit Med. 2023 May 25;6(1):96. doi: 10.1038/s41746-023-00843-6.

    PMID: 37231110BACKGROUND
  • Huang S, Yang J, Fong S, Zhao Q. Artificial intelligence in the diagnosis of COVID-19: challenges and perspectives. Int J Biol Sci. 2021 Apr 10;17(6):1581-1587. doi: 10.7150/ijbs.58855. eCollection 2021.

    PMID: 33907522BACKGROUND
  • Scherer LD, McPhetres J, Pennycook G, Kempe A, Allen LA, Knoepke CE, Tate CE, Matlock DD. Who is susceptible to online health misinformation? A test of four psychosocial hypotheses. Health Psychol. 2021 Apr;40(4):274-284. doi: 10.1037/hea0000978. Epub 2021 Mar 1.

    PMID: 33646806BACKGROUND
  • Bin Naeem S, Kamel Boulos MN. COVID-19 Misinformation Online and Health Literacy: A Brief Overview. Int J Environ Res Public Health. 2021 Jul 30;18(15):8091. doi: 10.3390/ijerph18158091.

    PMID: 34360384BACKGROUND
  • Southwick L, Guntuku SC, Klinger EV, Seltzer E, McCalpin HJ, Merchant RM. Characterizing COVID-19 Content Posted to TikTok: Public Sentiment and Response During the First Phase of the COVID-19 Pandemic. J Adolesc Health. 2021 Aug;69(2):234-241. doi: 10.1016/j.jadohealth.2021.05.010. Epub 2021 Jun 22.

    PMID: 34167883BACKGROUND
  • Tangcharoensathien V, Calleja N, Nguyen T, Purnat T, D'Agostino M, Garcia-Saiso S, Landry M, Rashidian A, Hamilton C, AbdAllah A, Ghiga I, Hill A, Hougendobler D, van Andel J, Nunn M, Brooks I, Sacco PL, De Domenico M, Mai P, Gruzd A, Alaphilippe A, Briand S. Framework for Managing the COVID-19 Infodemic: Methods and Results of an Online, Crowdsourced WHO Technical Consultation. J Med Internet Res. 2020 Jun 26;22(6):e19659. doi: 10.2196/19659.

    PMID: 32558655BACKGROUND
  • Norman CD, Skinner HA. eHealth Literacy: Essential Skills for Consumer Health in a Networked World. J Med Internet Res. 2006 Jun 16;8(2):e9. doi: 10.2196/jmir.8.2.e9.

    PMID: 16867972BACKGROUND
  • Hu D, Martin C, Dredze M, Broniatowski DA. Chinese social media suggest decreased vaccine acceptance in China: An observational study on Weibo following the 2018 Changchun Changsheng vaccine incident. Vaccine. 2020 Mar 17;38(13):2764-2770. doi: 10.1016/j.vaccine.2020.02.027. Epub 2020 Feb 22.

    PMID: 32093982BACKGROUND
  • Chen L, Wang X, Peng TQ. Nature and Diffusion of Gynecologic Cancer-Related Misinformation on Social Media: Analysis of Tweets. J Med Internet Res. 2018 Oct 16;20(10):e11515. doi: 10.2196/11515.

    PMID: 30327289BACKGROUND
  • Keelan J, Pavri V, Balakrishnan R, Wilson K. An analysis of the Human Papilloma Virus vaccine debate on MySpace blogs. Vaccine. 2010 Feb 10;28(6):1535-40. doi: 10.1016/j.vaccine.2009.11.060. Epub 2009 Dec 8.

    PMID: 20003922BACKGROUND
  • Zimet GD, Rosberger Z, Fisher WA, Perez S, Stupiansky NW. Beliefs, behaviors and HPV vaccine: correcting the myths and the misinformation. Prev Med. 2013 Nov;57(5):414-8. doi: 10.1016/j.ypmed.2013.05.013. Epub 2013 May 31.

    PMID: 23732252BACKGROUND
  • Huang Y, Xu S, Xu Y, Yao D, Wang L, Zhao Y, Wu Q. A New Strategy for Cervical Cancer Prevention Among Chinese Women: How Much Do They Know and How Do They React Toward the HPV Immunization? J Cancer Educ. 2021 Apr;36(2):386-394. doi: 10.1007/s13187-019-01642-y.

    PMID: 31902089BACKGROUND
  • Zhang Y, Wang Y, Liu L, Fan Y, Liu Z, Wang Y, Nie S. Awareness and knowledge about human papillomavirus vaccination and its acceptance in China: a meta-analysis of 58 observational studies. BMC Public Health. 2016 Mar 3;16:216. doi: 10.1186/s12889-016-2873-8.

    PMID: 26936076BACKGROUND
  • Li K, Li Q, Song L, Wang D, Yin R. The distribution and prevalence of human papillomavirus in women in mainland China. Cancer. 2019 Apr 1;125(7):1030-1037. doi: 10.1002/cncr.32003. Epub 2019 Feb 12.

    PMID: 30748006BACKGROUND
  • Li C, Wu M, Wang J, Zhang S, Zhu L, Pan J, Zhang W. A population-based study on the risks of cervical lesion and human papillomavirus infection among women in Beijing, People's Republic of China. Cancer Epidemiol Biomarkers Prev. 2010 Oct;19(10):2655-64. doi: 10.1158/1055-9965.EPI-10-0212. Epub 2010 Aug 18.

    PMID: 20719907BACKGROUND
  • Zhao FH, Lin MJ, Chen F, Hu SY, Zhang R, Belinson JL, Sellors JW, Franceschi S, Qiao YL, Castle PE; Cervical Cancer Screening Group in China. Performance of high-risk human papillomavirus DNA testing as a primary screen for cervical cancer: a pooled analysis of individual patient data from 17 population-based studies from China. Lancet Oncol. 2010 Dec;11(12):1160-71. doi: 10.1016/S1470-2045(10)70256-4. Epub 2010 Nov 11.

    PMID: 21075054BACKGROUND
  • Li X, Xiang F, Dai J, Zhang T, Chen Z, Zhang M, Wu R, Kang X. Prevalence of cervicovaginal human papillomavirus infection and genotype distribution in Shanghai, China. Virol J. 2022 Sep 12;19(1):146. doi: 10.1186/s12985-022-01879-y.

    PMID: 36096810BACKGROUND

MeSH Terms

Conditions

Communication

Condition Hierarchy (Ancestors)

Behavior

Study Officials

  • Zhiyuan Hou, PhD

    Fudan University

    PRINCIPAL INVESTIGATOR
  • Leesa Lin, PhD

    The University of Hong Kong

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Zhiyuan Hou, PhD

CONTACT

Leesa Lin, PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
PARTICIPANT, CARE PROVIDER
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Professor

Study Record Dates

First Submitted

April 26, 2024

First Posted

May 8, 2024

Study Start

April 28, 2024

Primary Completion

May 31, 2024

Study Completion

June 30, 2024

Last Updated

May 8, 2024

Record last verified: 2024-05

Data Sharing

IPD Sharing
Will share

Individual participant data that underlie the results reported in the article, after de-identification (text, tables, figures, and appendices), will be shared upon reasonable requests. A written data-sharing request for meta-analysis should be submitted by email with a methodologically sound proposal. Proposals should be directed to zyhou@fudan.edu.cn; to gain access, data requestors will need to sign a data access agreement.

Shared Documents
STUDY PROTOCOL
Time Frame
Beginning 12 months and ending 36 months following article publication
Access Criteria
Researchers who provide a methodologically sound proposal for meta analysis. Proposals should be directed to zyhou@fudan.edu.cn; to gain access, data requestors will need to sign a data access agreement.

Locations