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

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.

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.

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.

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.