Abstract
Studies have shown that virtual clinics enjoyed high use and high patient satisfaction during the COVID-19 pandemic. Thus, virtual clinics are expected to be the new normal mode of receiving care after the COVID-19 pandemic. This study aimed to assess public awareness and use of virtual clinics following the pandemic and identify factors associated with virtual clinic use. Methods: A cross-sectional design was employed in which data were collected via a structured online questionnaire based on the Technology Acceptance Model (TAM) domains: perceived usefulness, perceived ease of use, and social influence. Participants were selected based on the non-probability sampling of convenience. Univariate, bivariate, and binary logistic regression models were used for analysis. Results: A total of 405 responses were received; of those, 286 (70.6%) were aware of the existence of virtual clinics and 99 (34.6%) were post-pandemic users. Among users, 50% used virtual clinics more than two times, 72% used virtual clinics to seek care for themselves, with the vast majority using it via voice calls (83.8%), and for visits to the family medicine clinic (55%). Young adults, females, single adults, those with a higher level of education, the employed, and those with lower income were more likely to use virtual clinics (p < 0.05). The logistic regression model showed that 20% of the variation in virtual clinic use was explained by perceived usefulness and perceived use (p < 0.001). Conclusion: This study showed high awareness of virtual clinics among the population following the COVID-19 pandemic, with one-third being active users. Age, gender, marital status, education, income, employment status, perceived usefulness, and ease of use are associated with virtual clinics’ awareness and use. Considering those factors is important when planning for sustained use of e-health and virtual care.