RESEARCH ARTICLE


COVID-19 Vaccination Acceptance and its Predicting Factors among Internet Users in Ho Chi Minh City and Other Regions in Vietnam



Hoang Bac Nguyen1, 2, Thi Hong Minh Nguyen1, *, Thi Hong Nhan Vo1, Hoang Phong Le1, Thi Mai Ca Vo1, Thi Anh Nhung Nguyen1, Tuan-Ngan Tang3, 4, Thi-Hiep Nguyen3, 4, Anh Long Dang1, Quang Binh Truong1, 2
1 University Medical Center Ho Chi Minh City, Ho Chi Minh City 700000, Vietnam
2 University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City Ho Chi Minh City 700000, Vietnam
3 Department of Tissue Engineering and Regenerative Medicine, School of Biomedical Engineering, International University, Ho Chi Minh City 700000, Vietnam
4 Vietnam National University, Ho Chi Minh City 700000, Vietnam


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Creative Commons License
© 2022 Nguyen

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the University Medical Center Ho Chi Minh City, 215, Hong Bang Street, Ward 11, District 5, Ho Chi Minh City 700000, Vietnam Tel: (+84) 908869685 E-mail: minh.nth@umc.edu.vn


Abstract

Aim:

This study was conducted to evaluate the acceptance of COVID-19 vaccination and its predictors among adult internet users residing in Ho Chi Minh City (HCMC) and other regions in Vietnam.

Methods:

An online survey was disseminated to eligible participants, applying the snowball sampling technique, including demographic details, knowledge, five components of the Health Belief Model (HBM), and acceptance of COVID-19 vaccination. Logistic regression analysis was employed to determine predicting factors toward COVID-19 vaccination acceptance.

Results:

Among 3310 participants, the majority were 18-39 years old (76.1%), and had completed higher education (69.7%). Most respondents reported sufficient knowledge (90.2%). 87.8% showed acceptance of getting COVID-19 vaccinated. While becoming unemployed (OR = 0.70, 95% CI 0.52-0.94), the number of chronic diseases (OR = 0.76, 95% CI 0.65-0.89), living in the environment with currently existing infected cases (OR = 0.68, 95% CI 0.50-0.93), and perceived barriers (OR = 0.88, 95% CI 0.85-0.91) were negative determinants, the number of information sources for updating COVID-19 vaccine (OR = 1.10, 95% CI 1.01-1.19), perceived benefits (OR = 1.12, 95% CI 1.07-1.18), and cues to action (OR = 1.23, 95% CI 1.18-1.29) were positive predictors for vaccination acceptance.

Conclusion:

The internet users’ level of acceptance of COVID-19 vaccination was impressively high and influenced by perceived benefits, barriers, cues to action, and some demographic and health-related details. People with low acceptance levels, such as chronically ill adults, should be imported into consideration and provided with reliable scientific information.

Keywords: COVID-19, Vaccine, Acceptance, Predictors, Vietnam, Disease, HBM.