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中国医护人员对 COVID-19 疫苗的接受度:系统评价和荟萃分析。

COVID-19 vaccine acceptance among healthcare workers in China: A systematic review and meta-analysis.

机构信息

School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.

Nursing Department, Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.

出版信息

PLoS One. 2022 Aug 12;17(8):e0273112. doi: 10.1371/journal.pone.0273112. eCollection 2022.

DOI:10.1371/journal.pone.0273112
PMID:35960730
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9374244/
Abstract

BACKGROUND

Since the successful development of Coronavirus Disease (COVID-19) vaccine, COVID-19 vaccination has been actively advocated all over the world. As the key population for COVID-19 vaccination, the acceptance of Healthcare Workers (HCWs) is not only related to their risk of contracting COVID-19 infection at work, but also affects the decision of the general population on COVID-19 vaccination. Currently, a series of observational studies have been conducted on the acceptance of COVID-19 vaccines among HCWs in China, but there are presently no all-inclusive reviews. Therefore, this paper reviewed to identify a reliable estimate of acceptance rate of COVID-19 vaccine among HCWs in China.

METHODS

We conducted a search on PubMed, EMbase, The Cochrane Library, Web of Science, CNKI (Chinese National Knowledge Infrastructure), Wanfang Database, CBM (Chinese Biomedical Literature Database) and VIP database (Chinese Scientific Journal Database) from January 2020 to June 2022. The quality of included articles was estimated using the Newcastle-Ottawa Quality Assessment tool suitable for cross-sectional studies and STATA 16 was used for analysis, A random-effects model was used to calculate acceptance rate for COVID-19 vaccine, as well as subgroup analysis and sensitivity analysis.

RESULT

This review included 18 studies involving 45,760 subjects, all of which were of medium or high quality. Meta-analysis results represented that, the pooled estimated acceptance rate of COVID-19 vaccine among HCWs in China was 78% (95%CI: 73-83%), and the pooled acceptance rate in 2021 (82%, 95%CI: 78-86%) was significantly higher than that in 2020 (73%, 95%CI: 65%-81%). Subgroup analysis showed different acceptance rates for COVID-19 vaccine among HCWs with different characteristics.

CONCLUSION

The result revealed that HCWs in China generally have a high acceptance rate of COVID-19 vaccines, but the acceptance rate varies with different characteristics of the population. Therefore, corresponding training should be carried out for HCWs with different characteristics, and they should play an exemplary and leading role in COVID-19 vaccination, so as to improve the vaccination rate of the whole population and form an immune barrier at an early date.

摘要

背景

自新型冠状病毒病(COVID-19)疫苗成功开发以来,全球积极倡导 COVID-19 疫苗接种。医护人员(HCWs)作为 COVID-19 疫苗接种的重点人群,其对疫苗的接受程度不仅与他们在工作中感染 COVID-19 的风险有关,还影响着普通民众对 COVID-19 疫苗接种的决策。目前,中国已对 HCWs 对 COVID-19 疫苗的接受程度进行了一系列观察性研究,但尚无全面的综述。因此,本文旨在评估中国 HCWs 对 COVID-19 疫苗的接受率,以确定一个可靠的估计值。

方法

我们检索了 2020 年 1 月至 2022 年 6 月期间PubMed、EMbase、The Cochrane Library、Web of Science、中国知网(CNKI)、万方数据库、中国生物医学文献数据库(CBM)和维普数据库(中国科技期刊数据库)中的相关文献。采用适合于横断面研究的纽卡斯尔-渥太华质量评估工具对纳入文献进行质量评价,采用 STATA 16 进行分析,采用随机效应模型计算 COVID-19 疫苗的接受率,并进行亚组分析和敏感性分析。

结果

本综述共纳入 18 项研究,共涉及 45760 名受试者,均为中高质量研究。Meta 分析结果表明,中国 HCWs 对 COVID-19 疫苗的总体估计接受率为 78%(95%CI:73-83%),2021 年(82%,95%CI:78-86%)的接受率明显高于 2020 年(73%,95%CI:65%-81%)。亚组分析显示,不同特征的 HCWs 对 COVID-19 疫苗的接受率存在差异。

结论

结果表明,中国 HCWs 对 COVID-19 疫苗的总体接受率较高,但接受率因人群特征的不同而有所差异。因此,应对具有不同特征的 HCWs 进行相应的培训,并使其在 COVID-19 疫苗接种中发挥示范和引领作用,以提高全民接种率,尽早形成免疫屏障。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97f7/9374244/81917b7beb72/pone.0273112.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97f7/9374244/5814a0946ef4/pone.0273112.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97f7/9374244/37479bad9ff8/pone.0273112.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97f7/9374244/14a5e8201ad8/pone.0273112.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97f7/9374244/81917b7beb72/pone.0273112.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97f7/9374244/5814a0946ef4/pone.0273112.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97f7/9374244/37479bad9ff8/pone.0273112.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97f7/9374244/14a5e8201ad8/pone.0273112.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97f7/9374244/81917b7beb72/pone.0273112.g004.jpg

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