This study measured the level of knowledge, attitudes and practices towards COVID-19 prevention and examined associated factors among patients at a national tertiary general hospital in Vietnam. Methods: Adult patients admitted to University Medical Center during research period were recruited in a cross-sectional study, which employed a convenience sampling method with a 4-component questionnaire in order to examine the patients' consciousness towards COVID-19 spreading prevention based on four aspects: demographic characteristics (10 items), knowledge (14 items), attitudes (6 items), and practices (7 items). Results: The study involved 2769 respondents (18-90 years) with the mean age of 38.05 ±13.91 years. About two thirds of the respondents obtained diploma degree or higher (63.4%) and shared their living space with others (64.4%). The majority of patients settled in urban area (74.9%). All participants stayed informed about COVID-19, with the most commonly used channels like television (75.2%), the Internet (72.2%) and phone (69.8%). The vast majority showed sufficient knowledge (93.7%) and positive attitudes (76.3%). Just over half of participants remained good practiced of COVID-19 prevention (57.7%). On average, the factors of younger age, higher educational level, frequency and department of admission, and the number of COVID-19 informative channels were significantly associated with sufficient knowledge, positive attitudes, and good practices regarding preventive action against COVID-19 spreading. The optimistic attitude and having more undergoing chronic diseases were associated with the likelihood of well-practiced COVID-19 preventive measures (OR 3.63, 95% CI 1.54-8.55, p=0.003 and OR 0.86, 95% CI 0.78-0.98, p=0.02, respectively). Conclusion:The results of this study demonstrated that the likelihood of good preventive practices in the fight against COVID-19 pandemic was influenced by attitudes and several sociodemographic factors. More drastic interventions for the prevention of COVID-19 should be widely furnished and equipped in hospitals, through various routes to maximize the efficiency and adherence to prevention practices.

Background This study investigated post-traumatic stress disorder (PTSD), anxiety, depression and their related factors among coronavirus disease 2019 (COVID-19) patients during the fourth wave of the pandemic in Vietnam. Methods Vietnamese-fluent confirmed COVID-19 patients for at least 3 d were recruited in this online cross-sectional study to answer a three-part questionnaire including participants’ sociodemographic characteristics, PTSD (Impact of Event Scale-Revised) and anxiety and depression (Hospital Anxiety and Depression Scale). Associated factors were determined using multivariable binary logistic regression models. Results Of 1544 responses, the majority were female (53.0%), ages 18–39 y (74.8%) and were isolated and treated at field hospitals (72.2%). Family or friends were the greatest sources of mental support (68.2%), followed by healthcare providers (51.1%). The overall prevalence rates of PTSD, anxiety and depression among COVID-19 patients were 22.9%, 11.2% and 17.4%, respectively. Risk factors included older age, higher education, getting infected from the public, knowing someone who died from COVID-19 and high perception of life threat. Meanwhile, mental assistance from family or friends, a greater number of supporters, living with someone not vulnerable and higher salaries were significantly protective factors. Conclusions The psychological responses associated with some sociodemographic details. Family or friends should be the first line of mental interventions for COVID-19 patients.

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 some 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%), completed higher education (69.7%). Most respondents reported sufficient knowledge (90.2%). 87.8% showed acceptance to get 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.