Evidence map›Paper›PMID 37320944›Full record

SynthesisPublic health2023

Predictors of COVID-19 vaccination hesitancy in China: a meta-analysis.

Y Liu, K Kuang

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
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

2 authors.

Y LiuSchool of Journalism and Communication, Tsinghua University, Beijing, China. Electronic address: liuyongliangleo@163.com.
K KuangSchool of Journalism and Communication, Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to examine predictors and moderators of COVID-19 vaccine hesitancy in Chinese cultural contexts. STUDY

designA meta-analysis and meta-regression analyses were conducted to examine the associations between predictors and vaccine hesitancy as well as moderators that may impact these associations.

methodsWe searched relevant articles from January 1, 2020, to May 12, 2022, in the databases of Web of Science, PubMed, ProQuest, ProQuest Dissertations & Theses Global and CNKI. Weighted average effect sizes (e.g., odds ratio) and 95% confidence intervals were computed in Comprehensive Meta-Analysis 3.0 using random-effects models. Heterogeneity tests were conducted prior to moderation analyses.

resultsResults from 161 studies in 73 published articles (N = 705,957) were meta-analyzed. Perceived risk of COVID-19 infection, health status, medical workers' recommendation, recommendations from family and friends, and vaccine coverage among relatives and friends were significantly associated with COVID-19 vaccine hesitancy in Chinese cultural contexts. Participant age, operationalization of vaccine hesitancy, and the time of each study exerted significant moderation effects.

conclusionsBoth individual and relational factors influence vaccine hesitancy in Chinese cultural contexts Future vaccine promotion initiatives should focus on risk perceptions as well as influence from medical professionals, family and friends.

Indexed as

COVID-19COVID-19 VaccinesChinaHumansVaccinationVaccination HesitancyCOVID-19 VaccinesChinese cultural contextsCOVID-19Meta-analysisVaccine hesitancy

Identifiers

PMID37320944
PMCPMC10186963

What OpenQuestion holds

Textmetadata
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.