Context: Electronic cigarettes (e-cigarettes) are considerably popular, particularly among young adults. Their effects have elicited strong interest in cigarette control and community health, but evidence on the knowledge, usage, and perceptions of e-cigarettes among the Vietnamese population remains limited. Aims: To evaluate e-cigarette awareness, use, and perceptions among Vietnamese personnel. Methods: A cross-sectional study through an online survey was administered to 368 participants in March 2022. The questionnaire comprised sections on socio-demographic characteristics and awareness, use, sources of information, and perceptions of e-cigarettes. Results: Most of the participants were male (87.8%), married (65.2%), and living in urban areas (77.2%). Their average age was 34.6 ± 16.1 years. 56.8% had never smoked, 23.9% were smokers, and 19.3% used to smoke. There was low awareness of e-cigarettes with 26.1%, whereas 8.2% were using e-cigarettes. Most respondents (86.5%) accessed the Internet for e-cigarette information, followed by television or radio (54.2%). Although over half of the respondents who heard about e-cigarettes expressed positive attitudes toward the cost and safety of e-cigarettes compared with traditional equivalents, they remained uncertain concerning their effectiveness in advancing smoking cessation. Statistically significant differences (p<0.05) in e-cigarette awareness and use were found between the respondents depending on gender, marital status, residence, and education. Conclusions: Our findings could guide the development of public health plans and national policies on e-cigarette control. Future studies should determine the permanent effects of e-cigarettes on community health and society.

Primary healthcare is critical in addressing the main health problems of communities. In Vietnam, the increasing healthcare demands cause major challenges, especially overcrowding. This study identified public preferences regarding the selection of healthcare facilities for first visit. A discrete choice online survey was generated from five attributes including visit duration, travel time, personal connection with medical staff, doctors' experience, and health insurance. A D z -efficient design constructed 36 choice sets, divided into three blocks of 12 choice sets. Each block formed one version of the questionnaire, which was randomly distributed to the participants. Heterogeneity in participant preferences was analysed by a latent class model with socio demographic characteristics and experiences of the last visit.