Evidence map›Paper›PMID 38273868›Full record

ArticleSSM - population health2024

Temporal changes in factors associated with COVID-19 vaccine hesitancy among Chinese adults: Repeated nationally representative survey.

Mingze Ma, Xiaoman Wu, Qiuping Zhao, Rongmei Liu, Quanman Li, Xinghong Guo, Zhanlei Shen, Clifford Silver Tarimo, Yifei Feng, Lipei Zhao and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in SSM - population health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  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

13 authors.

Mingze MaDepartment of Health Management, College of Public Health, Zhengzhou University, Henan, China.
Xiaoman WuDepartment of Health Management, College of Public Health, Zhengzhou University, Henan, China.
Qiuping ZhaoHenan Key Laboratory for Health Management of Chronic Diseases, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zheng Zhou, Henan, China.
Rongmei LiuHenan Key Laboratory for Health Management of Chronic Diseases, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Zheng Zhou, Henan, China.
Quanman LiDepartment of Health Management, College of Public Health, Zhengzhou University, Henan, China.
Xinghong GuoDepartment of Health Management, College of Public Health, Zhengzhou University, Henan, China.
Zhanlei ShenDepartment of Health Management, College of Public Health, Zhengzhou University, Henan, China.
Clifford Silver TarimoDepartment of Health Management, College of Public Health, Zhengzhou University, Henan, China.
Yifei FengDepartment of Health Management, College of Public Health, Zhengzhou University, Henan, China.
Lipei ZhaoDepartment of Health Management, College of Public Health, Zhengzhou University, Henan, China.
Beizhu YeDepartment of Health Management, College of Public Health, Zhengzhou University, Henan, China.
Jian WuDepartment of Health Management, College of Public Health, Zhengzhou University, Henan, China.
Yudong MiaoDepartment of Health Management, College of Public Health, Zhengzhou University, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: COVID-19 vaccine hesitancy has been cited as one of the main obstacles impacting vaccine coverage. However, factors that affect hesitancy may change over time. Understanding these evolving concerns and adapting strategies accordingly are crucial for effectively addressing vaccine hesitancy effectively and promoting public health. We aimed to explore the temporal changes in factors associated with COVID-19 VH during the COVID-19 pandemic and assess the dynamic evolution of VH. Methods: In August 2022 and February 2023, repeated online surveys were undertaken to collect information from 5378 adults across four regions of China. Multiple linear regression models assessed the influencing factors of COVID-19 VH. The association between protective motive theory (PMT) (perceived severity, susceptibility, benefits, barriers, and self-efficacy) and VH was evaluated by structural equation modeling (SEM). Results: Repeated measures showed that 573 (10.7%) and 1598 (29.7%) of the 5378 participants reported COVID-19 VH in the baseline and follow-up surveys, respectively. Educational levels, chronic disease, history of allergy, COVID-19 infection, and trust in medical staff and vaccine developers were positively associated with COVID-19 VH ( Conclusion: The prevalence of COVID-19 VH was relatively low in the baseline survey and much higher in the follow-up survey, with a significant increase in hesitancy rates among mainland Chinese residents. Acknowledging the substantial impact on the shaping of COVID-19 VH, one must consider factors including perceived severity, susceptibility, vaccination barriers, and self-efficacy.

Indexed as

ChinaCOVID-19 vaccineProtection motivation theoryStructural equation modelingVaccine hesitancy

Identifiers

PMID38273868
PMCPMC10809179

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.