Factors related to public COVID-19 vaccine hesitancy based on the "3Cs" model: a cross-sectional study

Q4 Medicine
Xiao Xi Liu, J. Dai, Hao Chen, Xiao Li, Suhong Chen, Yang Yu, Q. Zhao, Ru Wang, Yimeng Mao, H. Fu, Junling Gao, P. Zheng
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引用次数: 8

Abstract

Objective: To understand the current situation of the hesitation of COVID-19 vaccines among Chinese residents, analyze the factors of vaccine hesitancy based on the "3Cs" model, and to provide reference for population intervention. Methods: From Dec 31, 2020 to Jan 11, 2021, a convenience sampling method was adopted to conduct an online survey of residents in 34 provinces, cities and autonomous regions across the country.The survey content included demographic characteristics, vaccine hesitancy, and the dimensions of the "3Cs" (confidence, complacency, and convenience) model.We analyzed the influence of demographic characteristics on vaccine hesitancy by χ2 test.Logistic regression was used to evaluate the effects of "3Cs" variables on vaccine hesitancy. Results: A total of 2 531 respondents were surveyed.Their average age was (33.9±8.9) years old, male to female ratio was 1:1.42, and vaccine hesitating respondents accounted for 44.3%.Logistic regression analysis found that gender (ORfemale=1.33, 95%CI: 1.12-1.58), monthly income (compared with 10 000=1.57, 95%CI: 1.25-1.97), healthcare workers(ORno=1.39, 95%CI: 1.12-1.73), and confidence (OR=0.47, 95%CI: 0.40-0.56) and complacency (OR=2.49, 95%CI: 2.10-2.96) in the "3Cs" model showed statistically significant impacts on the hesitation of COVID-19 vaccines. Conclusion: The confidence and complacency dimensions in the "3Cs" model have an impact on the hesitation of COVID-19 vaccines.Future interventions can focus on improving the public's confidence and reducing complacency associated with COVID-19 vaccines to increase the vaccination rate. © 2021, Editorial Department of Fudan University Journal of Medical Sciences. All right reserved.
基于“3c”模型的公众COVID-19疫苗犹豫相关因素:一项横断面研究
目的:了解我国居民新冠肺炎疫苗犹豫的现状,基于“3Cs”模型分析疫苗犹豫的因素,为人群干预提供参考。方法:自2020年12月31日至2021年1月11日,采用方便抽样法对全国34个省、市、自治区的居民进行在线调查。调查内容包括人口统计学特征、疫苗犹豫和“3C”(信心、自满和便利)模型的维度。我们通过χ2检验分析了人口统计学特征对疫苗犹豫的影响。Logistic回归用于评估“3Cs”变量对疫苗犹豫的影响。结果:共有2531名受访者接受调查。他们的平均年龄为(33.9±8.9)岁,男女比例为1:1.42,对疫苗犹豫不决的受访者占44.3%。Logistic回归分析发现,性别(ORfemal=1.33,95%CI:1.12-1.58)、月收入(与10000相比=1.57,95%CI:1.25-1.97)、医护人员(ORno=1.39,95%CI:1.11-1.73),“3Cs”模型中的置信度(OR=0.47,95%CI:0.40-0.56)和自满情绪(OR=2.49,95%CI:2.10-2.96)对新冠肺炎疫苗的犹豫有统计学显著影响。结论:“3Cs”模型中的信心和自满维度对新冠肺炎疫苗的犹豫有影响。未来的干预措施可以侧重于提高公众的信心,减少与新冠肺炎疫苗相关的自满情绪,以提高疫苗接种率。©2021,《复旦大学医学科学杂志》编辑部。保留所有权利。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
复旦学报(医学版)
复旦学报(医学版) Medicine-Medicine (all)
CiteScore
0.30
自引率
0.00%
发文量
7922
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