Understanding the impact of chronic diseases on COVID‐19 vaccine hesitancy using propensity score matching: Internet‐based cross‐sectional study

Author:

Miao Yudong12,Shen Zhanlei12ORCID,Li Quanman12,Ma Mingze12,Xu Dongyang3,Tarimo Clifford Silver124,Gu Jianqin5,Wei Wei67,Zhou Xue8,Zhao Lipei12,Feng Yifei12,Wu Jian12,Wang Meiyun67

Affiliation:

1. Department of Health management, College of Public Health Zhengzhou University Zhengzhou Henan China

2. Henan Province Engineering Research Center of Health Economy & Health Technology Assessment Zhengzhou China

3. Henan Provincial Center for Disease Control and Prevention Zhengzhou China

4. Department of Science and Laboratory Technology Dar es salaam Institute of Technology Dar es Salaam Tanzania

5. School of Medicine Southern University of Science and Technology Shenzhen Guangdong China

6. Henan Provincial People's Hospital Zhengzhou Henan China

7. People's Hospital of Zhengzhou University Zhengzhou Henan China

8. College of Health Management Mudanjiang Medical University Mudanjiang Heilongjiang China

Abstract

AbstractAims and ObjectivesTo investigate whether chronic diseases are associated with higher COVID‐19 vaccine hesitancy and explore factors that influence COVID‐19 vaccine hesitancy in patients with chronic diseases.BackgroundVaccine hesitancy has been acknowledged as one of the greatest hazards to public health. However, little information is available about COVID‐19 vaccine hesitancy among patients with chronic diseases who may be more susceptible to COVID‐19 infection, severe disease or death.MethodsFrom 6 to 9 August 2021, we performed an internet‐based cross‐sectional survey with 22,954 participants (14.78% participants with chronic diseases). Propensity score matching with 1:1 nearest neighbourhood was used to reduce confounding factors between patients with chronic diseases and the general population. Using a multivariable logistic regression model, the factors impacting COVID‐19 vaccine hesitancy were identified among patients with chronic diseases.ResultsBoth before and after propensity score matching, patients with chronic diseases had higher COVID‐19 vaccine hesitancy than the general population. In addition, self‐reported poor health, multiple chronic diseases, lower sociodemographic backgrounds and lower trust in nurses and doctors were associated with COVID‐19 vaccine hesitancy among patients with chronic diseases.ConclusionsPatients with chronic diseases were more hesitant about the COVID‐19 vaccine. Nurses should focus on patients with chronic diseases with poor health conditions, low socioeconomic backgrounds and low trust in the healthcare system.Relevance to Clinical PracticeClinical nurses are recommended to not only pay more attention to the health status and sociodemographic characteristics of patients with chronic diseases but also build trust between nurses and patients by improving service levels and professional capabilities in clinical practice.Patient or Public ContributionPatients or the public were not involved in setting the research question, the outcome measures, or the design or implementation of the study. However, all participants were invited to complete the digital informed consent and questionnaires.

Funder

National Office for Philosophy and Social Sciences

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3