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Research Article

Factors associated with intention to uptake pneumococcal vaccines among Chinese elderly aged 60 years and older during the early stage of COVID-19 pandemic

ORCID Icon, , , ORCID Icon &
Pages 91-105 | Received 18 Aug 2020, Accepted 15 Mar 2021, Published online: 26 Mar 2021
 

ABSTRACT

Innoculation of pneumococcal vaccines among the elderly is an effective public health policy to prevent pneumococcal diseases and it is widely promoted by many developed countries. The pneumococcal vaccination rate among the elderly in China was only 3.7% in 2019, it grew rapidly during the early stage of the COVID-19 pandemic. The purpose of this cross-sectional study was to investigate the psychological and demographic-economic factors related to the uptake behavior of pneumococcal vaccination among the Chinese elderly by using an integrated model based on the unified theory of acceptance and use of technology (UTAUT), and knowledge, attitudes and practices (KAP). The theoretical model was tested via structural equation modeling (SEM) with data collected from 516 Chinese older adults aged 60 years and older. Our results suggested that knowledge, performance expectancy, effort expectancy, attitude, and trust had a significant correlation with behavioral intention; behavioral intention and trust had a positive correlation with the uptake behavior, gender, and and education level and chronic obstructive pulmonary disease exerted significant moderating effects. To increase the coverage of pneumococcal vaccination among the elderly, it is necessary to provide effective health education by authoritative experts, thereby enhancing their knowledge and positive attitude towardthe vaccination.

Disclosure statement

The authors declare that they have no conflict of interests.

Author contribution

Min Zhou: Conceptualization, Methodology, Software, Funding acquisition. Jiaying Zhan: Data curation, Investigation. Nan Kong: Visualization, Writing, Original draft preparation. Kathryn S. Campy: Supervision, Writing, Reviewing, and Editing. Yan Chen: Methodology and Data curation.

Additional information

Funding

This work was supported by the Changsha Natural Science Foundation (grant number KQ2007081), and Key Scientific Research Project of Hunan Provincial Department of Education (grant number 20A129).

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