A Systematic Review of the Theory of Planned Behavior in Health Information System Use Among Healthcare Providers
DOI:
https://doi.org/10.59680/anestesi.v4i1.2385Keywords:
Database, Health Information System, Perceived Risk, TPB, Use BehaviorAbstract
The use of health information systems (HIS) in healthcare facilities is influenced not only by the quality of the technology, but also by users’ behavioral factors, such as attitudes, social norms, and perceived control over system use. Among healthcare professionals, the decision to use HIS reflects a planned behavior shaped by professional demands, organizational support, and individuals’ confidence in their ability to operate the system. This study aims to systematically examine how the Theory of Planned Behavior (TPB) has been used to explain HIS use among healthcare workers. The method employed was a systematic review of scientific articles from reputable databases discussing the application of TPB in the context of HIS use or adoption. The selected articles were empirical studies involving healthcare professionals and applying TPB in its original or extended forms. The review found that attitude, subjective norms, and perceived behavioral control were the most consistent core constructs in shaping behavioral intention to use HIS. In addition, TPB was often extended with variables such as self-efficacy, anxiety, habit, trust, and perceived risk. These findings suggest that TPB is a strong theoretical framework for explaining HIS use, but it becomes more comprehensive when combined with contextual variables or integrated with other technology adoption theories.
References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314-324. https://doi.org/10.1002/hbe2.195
AlQudah, A. A., Al-Emran, M., & Shaalan, K. (2021). Technology acceptance in healthcare: A systematic review. Applied Sciences, 11(22), 10537. https://doi.org/10.3390/app112210537
Gitimoghaddam, M., Chichkine, N., McArthur, L., Sangha, S. S., & Symington, V. (2022). Applied Behavior Analysis in Children and Youth with Autism Spectrum Disorders: A Scoping Review. Perspectives on Behavior Science, 45(3), 521-557. https://doi.org/10.1007/s40614-022-00338-x
Godin, G., & Kok, G. (1996). The theory of planned behavior: A review of its applications to health-related behaviors. American Journal of Health Promotion, 11(2), 87-98. https://doi.org/10.4278/0890-1171-11.2.87
Hagger, M. S., & Hamilton, K. (2025). Progress on theory of planned behavior research: Advances in research synthesis and agenda for future research. Annals of Behavioral Medicine. https://doi.org/10.1007/s10865-024-00545-8
Hsiao, J.-L., & Chen, R.-F. (2015). Physicians' acceptance of electronic medical records exchange: An extension of the decomposed TPB model with institutional trust and perceived risk. International Journal of Medical Informatics, 84(1), 1-14. https://doi.org/10.1016/j.ijmedinf.2014.08.008
Hsieh, P.-J. (2015). Physicians' acceptance of electronic medical records exchange: An extension of the decomposed TPB model with institutional trust and perceived risk. International Journal of Medical Informatics, 84(1), 1-14. https://doi.org/10.1016/j.ijmedinf.2014.08.008
Hung, S.-Y., Ku, Y.-C., & Chien, J.-C. (2012). Understanding physicians' acceptance of the Medline system for practicing evidence-based medicine: A decomposed TPB model. International Journal of Medical Informatics, 81(2), 130-142. https://doi.org/10.1016/j.ijmedinf.2011.09.009
Ifinedo, P. (2017). Using an extended theory of planned behavior to study nurses' adoption of healthcare information systems in Nova Scotia. Journal of Technology Management and Innovation, 8(1), 1-17. https://doi.org/10.4018/IJTD.2017010101
Ifinedo, P. (2018). Empirical study of Nova Scotia nurses' adoption of healthcare information systems: Implications for management and policy-making. International Journal of Health Policy and Management, 7(4), 317-327. https://doi.org/10.15171/ijhpm.2017.96
Ikawati, F. R. (2024). Efektivitas Penggunaan Rekam Medis Elektronik Terhadap Peningkatan Kualitas Pelayanan Pasien di Rumah Sakit. Ranah Research: Journal of Multidisciplinary Research and Development, 6(3), 288-298. https://doi.org/10.38035/rrj.v6i3.819
Jang, Y.-E., & Yang, H.-M. (2025). Clinical nurses' perceptions of digital nursing technology: A qualitative analysis using the Theory of Planned Behaviour (TPB). https://doi.org/10.1002/nop2.70411
Ojo, A. I., Soyemi, O., & Popoola, S. O. (2023). A systematic literature review of health information systems for healthcare. Healthcare, 11(7), 959. https://doi.org/10.3390/healthcare11070959
Tetik, G., Turkeli, S., Pinar, S., & Tarim, M. (2024). Health information systems with technology acceptance model approach: A systematic review. International Journal of Medical Informatics, 189, 105556. https://doi.org/10.1016/j.ijmedinf.2024.105556
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