Evidence map›Paper›PMID 38304877›Full record

ArticleVaccine: X2024

Mpox knowledge and vaccination hesitancy among healthcare workers in Beijing, China: A cross-sectional survey.

Yuan Yang, Weijie Zhang, Baihui Han, Han Meng, Jiaqi Wang, Ke Wu, Leiwen Fu, Bingyi Wang, Xiaohong Jiang, Qian Li and 4 more

Open access · goldAbstract read
In one paragraph

Article in Vaccine: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

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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

14 authors at 4 institutions in 1 country.

Yuan YangBeijing Chaoyang District Center for Disease Prevention and Control, Beiijng, China.
Weijie ZhangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Baihui HanBeijing Chaoyang District Center for Disease Prevention and Control, Beiijng, China.
Han MengBeijing Chaoyang District Center for Disease Prevention and Control, Beiijng, China.
Jiaqi WangBeijing Chaoyang District Center for Disease Prevention and Control, Beiijng, China.
Ke WuBeijing Chaoyang District Center for Disease Prevention and Control, Beiijng, China.
Leiwen FuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Bingyi WangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Xiaohong JiangBeijing Chaoyang District Center for Disease Prevention and Control, Beiijng, China.
Qian LiBeijing Chaoyang District Center for Disease Prevention and Control, Beiijng, China.
Zhiyuan XuBeijing Chaoyang District Center for Disease Prevention and Control, Beiijng, China.
Ye ZhangBeijing Chaoyang District Center for Disease Prevention and Control, Beiijng, China.
Xiao QiBeijing Chaoyang District Center for Disease Prevention and Control, Beiijng, China.
Huachun ZouSchool of Public Health, Fudan University, Shanghai, China.
Beijing Center for Disease Prevention and Control · CNSun Yat-sen University · CNFudan University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mpox, one of the most serious threats to global health, is now being seen in small but rising numbers in Beijing, China. Our study aimed to investigate healthcare workers' (HCWs) knowledge of Mpox and to explore reasons associated with their hesitancy to vaccinate against Mpox in Beijing, China. Methods: A cross-sectional study was conducted among HCWs in Beijing from July 24 to August 2, 2023, through an online questionnaire. Participants answered questions about sociodemographic characteristics, Mpox information sources, Mpox knowledge, perception of vaccines, and attitudes toward Mpox vaccination. We used Chi-squared test to compare difference in Mpox vaccination hesitancy between different groups. Multivariable logistic regression models were applied to analyze correlates of vaccination hesitancy among HCWs. Results: A total of 2331 HCWs completed the questionnaire, with an effective response rate of 92.45 % (2155/2331). Most of the HCWs in this study worked at tertiary hospitals (89.65 %), with a mean age of 36.69 ± 9.08 years. Among the 2155 participants, 52.99 % had over ten years of working experience, and 16.66 % were from high-risk departments relevant to Mpox treatment. Approximately 84.41 % knew about Mpox before this study, 80.79 % exhibited a high level of knowledge about Mpox, whereas 42.37 % were hesitant to be vaccinated against Mpox. Moreover, the hesitancy rate of HCWs in high-risk departments (47.91 %) was higher than in lower-risk departments (41.26 %). Higher educational level (aOR = 1.75, 95 %CI: 1.17-2.62), longer working years (1.71, 1.32-2.22), working at high-risk departments (1.34, 1.05-1.71), and lower level of knowledge about Mpox (1.78, 1.13-2.85) appeared as the most significant determinants of Mpox vaccination hesitancy among HCWs who knew about Mpox. For the HCWs who did not know about Mpox, longer working years (1.96, 1.02-3.78) were significant factors associated with their hesitancy. The predominant reason for hesitancy toward Mpox vaccination among HCWs encompassed apprehensions about vaccine side effects. Conclusion: HCWs had good knowledge of Mpox, whereas their Mpox vaccination hesitancy was also relatively high in Beijing, China. Increasing HCWs' vaccination confidence and knowledge level about Mpox, especially for those working in high-risk departments, may be an essential way of reducing their hesitancy.

Indexed as

ChinaHealthcare workersKnowledgeMpoxVaccines hesitancy

Identifiers

PMID38304877
PMCPMC10831242
OpenAlexW4390685602

What OpenQuestion 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 OpenQuestion graph.