Evidence map›Paper›PMID 37526963›Full record

Observational studyJMIR public health and surveillance2023

Dynamic Trends and Underlying Factors of COVID-19 Vaccine Booster Hesitancy in Adults: Cross-Sectional Observational Study.

Jian Wu, Mingze Ma, Quanman Li, Xinghong Guo, Clifford Silver Tarimo, Shiyu Jia, Xue Zhou, Meiyun Wang, Jianqin Gu, Yudong Miao and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in JMIR public health and surveillance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
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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

11 authors at 4 institutions in 2 countries.

Jian WuDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.ORCID 0000-0003-2959-7448
Mingze MaDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.ORCID 0009-0009-3906-550X
Quanman LiDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.ORCID 0000-0002-4271-8112
Xinghong GuoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.ORCID 0009-0008-4488-5054
Clifford Silver TarimoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.ORCID 0000-0002-0672-9471
Shiyu JiaDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.ORCID 0009-0002-3195-5814
Xue ZhouDepartment of Public Utilities Management, College of Health Management, Mudanjiang Medical University, Hei Longjiang, China.ORCID 0009-0003-7153-4851
Meiyun WangHenan Provincial People's Hospital, Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-7163-2617
Jianqin GuSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.ORCID 0009-0004-9795-7737
Yudong MiaoDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.ORCID 0000-0002-8403-3795
Beizhu YeDepartment of Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.ORCID 0000-0001-7347-1661
Zhengzhou University · CNDar es Salaam Institute of Technology · TZMudanjiang Medical University · CNSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 vaccine hesitancy reduces vaccination rates, which is detrimental to building herd immunity and halting the spread of COVID-19 and its variations. Most researches have simply identified the reasons affecting COVID-19 vaccination reluctance without delving into its dynamics, which makes forecasting future trends difficult.

objectiveThis study aimed to examine the current COVID-19 vaccine booster hesitancy rate in Chinese adults as well as the dynamics of vaccine hesitancy and its influencing factors. The results of this study will have practical implications for policy responses in mainland China, and effective COVID-19 booster vaccination in specific populations.

methodsThe web-based survey was completed by creating questionnaires and using a stratified random sampling method to collect information from adults (≥18 years old) among 2556 households in 4 geographical regions of China. We collected sociodemographic information, health status, awareness of COVID-19 and its vaccine, self-perceptions, trust in medical staff and vaccine developers, and so on. The odds ratios and 95% CI for the statistical associations were estimated using logistic regression models.

resultsOverall, 6659 participants (females: n=3540, 53.2%; males: n=3119, 46.8%) responded. In total, 533 (8%; 95% CI 7.4%-8.7%) participants presented a clear hesitancy in receiving the COVID-19 booster vaccination, while 736 (11.1%; 95% CI 10.3%-11.8%) expressed hesitancy in regular booster vaccination. A higher prevalence of vaccine hesitancy in both booster vaccination and regular booster vaccination was observed among participants with a history of allergies, experiencing chronic disease, lower levels of public health prevention measures or susceptibility or benefits or self-efficiency, higher levels of severity or barriers, and lower trust in both medical staff and vaccine developers (P<.05). The females and participants with higher education levels, higher levels of barriers, lower levels of susceptibility, and lower trust in vaccine developers preferred to have attitudinal changes from acceptance to hesitancy, while people with higher education levels, lower self-report health conditions, experiencing chronic disease, history of allergies, and lower trust in medical staff and developers were all positively associated with constant COVID-19 booster hesitancy.

conclusionsThe prevalence of COVID-19 vaccine booster hesitancy is not high in mainland China. However, there is a slight increment in hesitancy on regular booster vaccination. Conducting targeted information guidance for people with higher education levels and chronic diseases, as well as improving accessibility to booster vaccination and increasing trust in medical staff and vaccine producers may be highly effective in reducing vaccine hesitancy.

Indexed as

COVID-19HypersensitivityAdolescentAdultCOVID-19 VaccinesFemaleHumansImmunization, SecondaryMaleVaccinationCOVID-19 VaccinesChinaCOVID-19 booster vaccinationCOVID-19 vaccineinfluencing factorsvaccine hesitancy

Identifiers

PMID37526963
PMCPMC10395646
OpenAlexW4380882604

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.