Evidence map›Paper›PMID 40052507›Full record

ArticleBritish journal of health psychology2025

Dual decision-making routes for COVID-19 and influenza vaccines uptake in parents: A mixed-methods study.

Jiehu Yuan, Meihong Dong, Dennis Kai Ming Ip, Hau Chi So, Qiuyan Liao

Abstract read
In one paragraph

Article in British journal of health psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jiehu YuanLi Ka Shing Faculty of Medicine, School of Public Health, The University of Hong Kong, Hong Kong, China.ORCID 0000-0003-3429-8514
Meihong DongHospital-Acquired Infection Control Department, Affiliated Foshan Hospital of Southern Medical University, Foshan, Guangdong, China.
Dennis Kai Ming IpWorld Health Organization Collaborating Center for Infectious Disease Epidemiology and Control, Li Ka Shing Faculty of Medicine, School of Public Health, The University of Hong Kong, Hong Kong, China.
Hau Chi SoWorld Health Organization Collaborating Center for Infectious Disease Epidemiology and Control, Li Ka Shing Faculty of Medicine, School of Public Health, The University of Hong Kong, Hong Kong, China.
Qiuyan LiaoLi Ka Shing Faculty of Medicine, School of Public Health, The University of Hong Kong, Hong Kong, China.

Funding

Health and Medical Research Fund INF-HKU-2
6 · The paper itself

Abstract

objectiveParental decision-making for children's uptake of a relatively novel vaccine and a more common vaccine could involve different processes. This study aimed to compare the psychological processes and the relative importance of psychological factors influencing parental decision-making for children's seasonal influenza vaccination (SIV) and COVID-19 vaccination. DESIGN AND

methodsWe adopted mixed-methods approach. Study 1 was a qualitative study involving 29 parents to explore and compare their decision-making processes for children's SIV and COVID-19 vaccination. In Study 2, data from 632 parents were collected longitudinally; then, machine learning was used to quantify the relative importance of factors identified in Study 1 that were relevant to parents' decision-making for childhood vaccination decisions. Alluvial plots were used to compare the predictability of parents' baseline intention for follow-up children's SIV and COVID-19 vaccination.

resultsStudy 1 revealed that parents used the influenza vaccine as an anchor to assess the COVID-19 vaccine's risks. Decision-making for children's SIV was habitual and rule-based, while for COVID-19 vaccination, it involved more deliberation influenced by negative situational cues like negative news and anecdotal experiences. Study 2 further found that, for COVID-19 vaccination, situation-varying factors including distressed emotional states and affective response to news were significant. While for SIV, past-year vaccination behaviour was a more important factor. Baseline intention reliably predicted children's SIV but not COVID-19 vaccination.

conclusionsThe convergence of qualitative and quantitative data highlighted the distinct decision-making strategies for these two vaccines. Targeting key factors in parental decisions can enhance the effectiveness of future vaccination campaigns.

Indexed as

COVID-19COVID-19 VaccinesDecision MakingInfluenza, HumanInfluenza VaccinesParentsVaccinationAdultChildChild, PreschoolFemaleHumansMaleQualitative ResearchCOVID-19 VaccinesInfluenza VaccinesCOVID‐19 vaccinationinfluenza vaccinationmixed‐methodsparental decision‐makingpsychological factors

Identifiers

PMID40052507
PMCPMC11887008

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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.