Evidence map›Paper›PMID 36016224›Full record

ArticleVaccines2022

Exploring the Willingness of the COVID-19 Vaccine Booster Shots in China Using the Health Belief Model: Web-Based Online Cross-Sectional Study.

Dehua Hu, Zhisheng Liu, Liyue Gong, Yi Kong, Hao Liu, Caiping Wei, Xusheng Wu, Qizhen Zhu, Yi Guo

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 13% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

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  3. Review
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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

9 authors at 1 institution in 1 country.

Dehua HuDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.
Zhisheng LiuDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.
Liyue GongDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.
Yi KongDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.
Hao LiuDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.
Caiping WeiDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.
Xusheng WuShenzhen Health Development Research and Data Management Center, Shenzhen 518028, China.
Qizhen ZhuDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.
Yi GuoDepartment of Biomedical Information, School of Life Sciences, Central South University, Changsha 410013, China.ORCID 0000-0003-2727-9809
Central South University · CN

Funding

National Social Science Fund of China Grant No.20BTQ081
6 · The paper itself

Abstract

(1) Objective: To explore Chinese residents' willingness to receive COVID-19 vaccine booster shots and identify predictors of the level of willingness based on the health belief model (HBM). (2) Methods: The snowball sampling method was used to distribute online questionnaires. A chi-square test was used to analyze the relationship between different variables. The causal relationship between HBM-related factors and booster vaccination intentions was explored by Structural equation modeling (SEM). (3) Results: A total of 898 complete responses were included; 64.3% had already received the booster injection. Most respondents intended to vaccinate themselves, while 16.1% were hesitant. Nearly half of the respondents chose to take the booster injection to support China's vaccination policy. Using the SEM, perceived susceptibility and perceived barriers were found to have a negative effect on booster vaccination intentions, whereas perceived benefit and cues to action positively affected booster vaccination intentions in the HBM. (4) Conclusions: Factors included in this study have different effects on the willingness to take the COVID-19 booster injections. Sociodemographic characteristics and characteristics of participants' COVID-19 vaccination have a significant effect on the willingness to receive vaccine booster shots. The HBM constructs can serve as good predictors of the acceptance of vaccine booster shots with the exception of perceived severity, which may benefit health officials in terms of conducting targeted strategies in vaccine programs.

Indexed as

booster vaccinationCOVID-19health belief modelinfluencing factorstructural equation modelvaccination willingness

Identifiers

PMID36016224
PMCPMC9416363
OpenAlexW4292409657

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.