Exploration into the Influencing Factors for the Intention of the Public to Vaccinate against Infectious Diseases Based on the Theory of Planned Behavior—Example of the COVID-19 Vaccine

Author:

Li Zeming1ORCID,Li Zihan2,Sun Xinying2

Affiliation:

1. Department of Biostatistics, School of Public Health, Guangxi Medical University, Nanning 530021, China

2. Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing 100191, China

Abstract

Objectives: The coronavirus disease 2019 (COVID-19) was applied as an example, and the Theory of Planned Behavior (TPB) was used as a conceptual model. This study aimed to explore the impact of subjective norms (SNs), attitude towards the behavior (ATT), and perceived behavioral control (PBC) on the intention of the public for regular vaccination during COVID-19. The outcomes can provide certain recommendations for relevant policymakers in developing targeted health education intervention programs in the event of similar events. Methods: An online survey was performed between 17 April and 14 May 2021, via the online survey platform “WENJUANXING”. The multistage stratified cluster sampling was employed, and 2098 participants (1114 males; 53.10%) with a mean age of 31.22 years (SD = 8.29) completed the survey. The survey covered the factors influencing the public’s intention to receive future regular vaccinations during COVID-19 based on TPB. The effects of different variables on the public’s vaccination intention were analyzed using hierarchical stepwise regression. Results: The public’s intention to receive the COVID-19 vaccine (i.e., behavioral intention) in the future was taken as the dependent variable. Gender, age, marital status, education level, per capita monthly household income, vaccine-related knowledge, whether the COVID-19 vaccine was received, subjective norms (SNs), attitude towards the behavior (ATT), and perceived behavioral control (PBC) were used as independent variables. In this way, a hierarchical stepwise multiple regression model was developed. It can be seen from the final model that gender, age, vaccine-related knowledge, vaccination, attitude, SNs, and PBC were all influential factors in the public’s intention to get vaccinated in the future, with R2 = 0.399 and adjusted R2 = 0.397 (p < 0.001). Conclusion: TPB explains the intention of the public to receive future vaccinations to a large extent, and ATT and SNs are the most important influencing factors. It is suggested that vaccine intervention programs be developed to enhance public awareness and acceptance of vaccination. This can be achieved in three aspects, namely, improving the ATT of the public, SNs, and PBC. Furthermore, the influence of gender, age, vaccine knowledge, and previous vaccination behavior on vaccination intention should be taken into account.

Funder

The Basic Ability Enhancement Program for Young and Middle-aged Teachers of Guangxi

The National Social Science Fund of China

Publisher

MDPI AG

Subject

Pharmacology (medical),Infectious Diseases,Drug Discovery,Pharmacology,Immunology

Reference38 articles.

1. Zhan, S.Y. (2017). Epidemiology, People’s Medical Publishing House.

2. (2023, March 04). How Was the British New Crown Variant That Caused Chaos in Europe Found? What Does It Mean for Vaccines. Available online: https://baijiahao.baidu.com/s?id=1686760629683256807&wfr=spider&for=pc.

3. (2023, March 04). The Variant of the New Coronavirus Detected in India Has Spread to More than 40 Countries and Regions. Available online: http://henan.china.com.cn/news/2021-05/13/content_41559745.htm.

4. (2023, March 04). About Omicron, the Authoritative Answer of the National Health Commission Is Here!. Available online: https://content-static.cctvnews.cctv.com/snow-book/index.html?toc_style_id=feeds_default&share_to=copy_url&item_id=443257440784935416&track_id=E32059DA-05D6-444E-BD8A-2AE902E755EF_659879106725.

5. (2023, March 04). At Present, the Domestic Epidemic Strains Are Still Mainly BA.5.2 and BF.7, and No New Variants Have Been Imported. Available online: https://baijiahao.baidu.com/s?id=1756441286931162985&wfr=spider&for=pc.

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