Exploring the Future Research Agenda for Health Applications Adoption: A Systematic Literature Review

The healthcare sector is experiencing rapid digital transformation, marked by the growing popularity of mobile health (mHealth) and eHealth applications for various health-related purposes. However, despite their potential, the adoption of health applications remains inconsistent due to varying influencing factors. Previous reviews often focused on specific populations or limited frameworks, leaving a gap for a comprehensive synthesis. This study aims to systematically review and consolidate the current understanding of the factors affecting user adoption behavior in health applications. Following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines, a comprehensive literature search was conducted to identify relevant studies between 2016 and 2025. A total of 79 primary studies were analyzed to explore the theoretical model, variables, and emerging trends in health applications. The Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) models are the most widely used models by researchers. Beyond these core frameworks, researchers have proposed extended constructs such as psychological factors, health literacy, regulator readiness, security concerns, and infrastructure limitations. This review highlights the need for more inclusive, cross-cultural, and mixed-method research, particularly focusing on underrepresented populations such as rural users, the elderly, and low-literacy groups. These findings offer valuable insight to inform the design of future models and support the development of more effective, context-aware, and user-centered health technologies.

@article{Fauzi2025,
  title     = {Exploring the Future Research Agenda for Health Applications Adoption: A Systematic Literature Review},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {16},
  number    = {8},
  year      = {2025},
  publisher = {The Science and Information Organization},
  author    = {Rahmat Fauzi and Adhistya Erna Permanasari and Silmi Fauziati},
  doi       = {10.14569/IJACSA.2025.0160810},
  url       = {https://doi.org/10.14569/IJACSA.2025.0160810}
}