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Miao Y, Shen Z, Li Q, Ma M, Xu D, Tarimo CS, Gu J, Wei W, Zhou X, Zhao L, Feng Y, Wu J, Wang M. Understanding the impact of chronic diseases on COVID-19 vaccine hesitancy using propensity score matching: Internet-based cross-sectional study. J Clin Nurs 2024; 33:2165-2177. [PMID: 38291345 DOI: 10.1111/jocn.16958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 01/16/2023] [Accepted: 11/26/2023] [Indexed: 02/01/2024]
Abstract
AIMS AND OBJECTIVES To 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. BACKGROUND Vaccine 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. METHODS From 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. RESULTS Both 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. CONCLUSIONS Patients 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 PRACTICE Clinical 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 CONTRIBUTION Patients 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.
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Affiliation(s)
- Yudong Miao
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Zhanlei Shen
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Quanman Li
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Mingze Ma
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Dongyang Xu
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Clifford Silver Tarimo
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
- Department of Science and Laboratory Technology, Dar es salaam Institute of Technology, Dar es Salaam, Tanzania
| | - Jianqin Gu
- School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China
| | - Wei Wei
- Henan Provincial People's Hospital, Zhengzhou, Henan, China
- People's Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xue Zhou
- College of Health Management, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China
| | - Lipei Zhao
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Yifei Feng
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Jian Wu
- Department of Health management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- Henan Province Engineering Research Center of Health Economy & Health Technology Assessment, Zhengzhou, China
| | - Meiyun Wang
- Henan Provincial People's Hospital, Zhengzhou, Henan, China
- People's Hospital of Zhengzhou University, Zhengzhou, Henan, China
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