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2019冠状病毒病疫苗接种:可接受性及其预测因素的系统评价与荟萃分析

Vaccination against COVID-19: A systematic review and meta-analysis of acceptability and its predictors.

作者信息

Wang Qiang, Yang Liuqing, Jin Hui, Lin Leesa

机构信息

Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing 210009, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.

Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing 210009, China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.

出版信息

Prev Med. 2021 Sep;150:106694. doi: 10.1016/j.ypmed.2021.106694. Epub 2021 Jun 22.

Abstract

We aimed to estimate the coronavirus disease 2019 (COVID-19) vaccine acceptance rate and identify predictors associated with acceptance. To this end, we searched PubMed, Web of Science, Cochrane Library, and Embase databases until November 4, 2020. Meta-analyses were performed to estimate the rate with 95% confidence intervals (CI). Predictors were identified to be associated with vaccination intention based on the health belief model framework. Thirty-eight articles, with 81,173 individuals, were included. The pooled COVID-19 vaccine acceptance rate was 73.31% (95%CI: 70.52, 76.01). Studies using representative samples reported a rate of 73.16%. The pooled acceptance rate among the general population (81.65%) was higher than that among healthcare workers (65.65%). Gender, educational level, influenza vaccination history, and trust in the government were strong predictors of COVID-19 vaccination willingness. People who received an influenza vaccination in the last year were more likely to accept COVID-19 vaccination (odds ratio: 3.165; 95%CI: 1.842, 5.464). Protecting oneself or others was the main reason for willingness, and concerns about side effects and safety were the main reasons for unwillingness. National- and individual-level interventions can be implemented to improve COVID-19 vaccine acceptance before large-scale vaccine rollout. Greater efforts could be put into addressing negative predictors associated with willingness.

摘要

我们旨在估计2019冠状病毒病(COVID-19)疫苗的接受率,并确定与接受情况相关的预测因素。为此,我们检索了PubMed、科学网、考克兰图书馆和Embase数据库,检索截止至2020年11月4日。进行荟萃分析以估计该比率及其95%置信区间(CI)。基于健康信念模型框架确定与接种意愿相关的预测因素。纳入了38篇文章,涉及81173名个体。COVID-19疫苗的合并接受率为73.31%(95%CI:70.52,76.01)。使用代表性样本的研究报告的接受率为73.16%。普通人群的合并接受率(81.65%)高于医护人员(65.65%)。性别、教育水平、流感疫苗接种史以及对政府的信任是COVID-19疫苗接种意愿的有力预测因素。去年接种过流感疫苗的人更有可能接受COVID-19疫苗接种(优势比:3.165;95%CI:1.842,5.464)。保护自己或他人是愿意接种的主要原因,而对副作用和安全性的担忧是不愿意接种的主要原因。在大规模疫苗推广之前,可以实施国家层面和个人层面的干预措施来提高COVID-19疫苗的接受率。可以加大力度解决与意愿相关的负面预测因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/adaf/8217737/155b74c136e1/gr1_lrg.jpg

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