The study investigates the factors influencing the adoption of telemedicine among Filipino users, utilizing an extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model. Through a combination of structural equation modeling and deep learning neural network analysis, the research identifies usage behavior as the most significant factor affecting the intention to use telemedicine, subsequently leading to perceived user adoption. Other influential factors include performance expectancy, effort expectancy, hedonic motivation, social influence, and resistance to use. Despite the recognized benefits of telemedicine in increasing access to healthcare services, particularly evident during the COVID-19 pandemic, its widespread acceptance and utilization in the Philippines remain limited. The study highlights the importance of addressing these factors to facilitate the effective implementation and promotion of telemedicine in the country, providing valuable insights for researchers and policymakers in the healthcare sector.
While telemedicine has been acknowledged globally as a valuable tool in healthcare delivery, its uptake in the Philippines faces challenges related to governance, implementation, and accessibility. The study underscores the urgent need to bridge these gaps to ensure equitable access to healthcare services, particularly for marginalized communities. By identifying key factors influencing user adoption of telemedicine and proposing strategies for improvement based on empirical evidence, the research contributes to the ongoing efforts to enhance healthcare accessibility and quality in the Philippines. Ultimately, the findings hold significant implications for the advancement of telemedicine infrastructure and technology acceptance in developing countries, offering a pathway towards more inclusive and resilient healthcare systems.
