Evidence map›Paper›PMID 37231110›Full record

ArticleNPJ digital medicine2023

Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore.

Kristi Yoonsup Lee, Saudamini Vishwanath Dabak, Vivian Hanxiao Kong, Minah Park, Shirley L L Kwok, Madison Silzle, Chayapat Rachatan, Alex Cook, Aly Passanante, Ed Pertwee and 7 more

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in NPJ digital medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
7.4field-weighted citation impact, top 2% of its field
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.

NCT06227689 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Evaluation of Vaccine Chatbot on HPV Vaccine Awareness and Vaccination for Middle School Girls in China: a Randomized Controlled Trial and Implementation Science Study

TypeinterventionalSponsorFudan UniversityRan2024 to 2024Enrolled1,800ConditionsHPV VaccineArmsVaccine chatbot that offering HPV vaccine-related information
NCT06405048 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Evaluating the Feasibility and Effectiveness of a Mock-up Fact-checking Extension to Improve Ability to Debunk HPV Vaccine Misinformation Among Parents of Middle School Girls: A Survey Experiment

TypeinterventionalSponsorFudan UniversityRan2024 to 2024Enrolled1,200ConditionsHPV VaccineArmsMobile Weibo post screenshot with mock-up Chinese fact-checking extension
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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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

17 authors at 8 institutions in 8 countries.

Kristi Yoonsup Lee *Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China.
Saudamini Vishwanath Dabak *Health Intervention and Technology Assessment Program, Ministry of Public Health, Nonthaburi, Thailand.
Vivian Hanxiao Kong *Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China.
Minah Park *Department of Health Convergence, Ewha Womans University, Seoul, Korea.
Shirley L L Kwok *Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China.ORCID http://orcid.org/0000-0003-0149-1940
Madison SilzleHealth Intervention and Technology Assessment Program, Ministry of Public Health, Nonthaburi, Thailand.ORCID http://orcid.org/0000-0003-3345-8117
Chayapat RachatanHealth Intervention and Technology Assessment Program, Ministry of Public Health, Nonthaburi, Thailand.
Alex CookSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
Aly PassananteDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-8931-9549
Ed PertweeDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-9089-1649
Zhengdong WuLaboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China.
Javier A ElkinDepartment of Digital Health and Innovation, World Health Organization, Genève, Switzerland.
Heidi J LarsonDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Eric H Y LauLaboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China.
Kathy LeungLaboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China. ksmleung@hku.hk.ORCID http://orcid.org/0000-0003-4777-388X
Joseph T WuLaboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China. joewu@hku.hk.
Leesa LinLaboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong Special Administrative Region, Hong Kong, China. llin@d24h.hk.ORCID http://orcid.org/0000-0003-4123-4762
University of Hong Kong · HKDepartment of Health · CNMinistry of Public Health · THLondon School of Hygiene & Tropical Medicine · GBEwha Womans University · KRNational University of Singapore · SGUniversity of Washington · USWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

Chatbots have become an increasingly popular tool in the field of health services and communications. Despite chatbots' significance amid the COVID-19 pandemic, few studies have performed a rigorous evaluation of the effectiveness of chatbots in improving vaccine confidence and acceptance. In Thailand, Hong Kong, and Singapore, from February 11th to June 30th, 2022, we conducted multisite randomised controlled trials (RCT) on 2,045 adult guardians of children and seniors who were unvaccinated or had delayed vaccinations. After a week of using COVID-19 vaccine chatbots, the differences in vaccine confidence and acceptance were compared between the intervention and control groups. Compared to non-users, fewer chatbot users reported decreased confidence in vaccine effectiveness in the Thailand child group [Intervention: 4.3 % vs. Control: 17%, P = 0.023]. However, more chatbot users reported decreased vaccine acceptance [26% vs. 12%, P = 0.028] in Hong Kong child group and decreased vaccine confidence in safety [29% vs. 10%, P = 0.041] in Singapore child group. There was no statistically significant change in vaccine confidence or acceptance in the Hong Kong senior group. Employing the RE-AIM framework, process evaluation indicated strong acceptance and implementation support for vaccine chatbots from stakeholders, with high levels of sustainability and scalability. This multisite, parallel RCT study on vaccine chatbots found mixed success in improving vaccine confidence and acceptance among unvaccinated Asian subpopulations. Further studies that link chatbot usage and real-world vaccine uptake are needed to augment evidence for employing vaccine chatbots to advance vaccine confidence and acceptance.

Identifiers

PMID37231110
PMCPMC10208906
OpenAlexW4378232676

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.