Czasopismo
Tytuł artykułu
Warianty tytułu
Języki publikacji
Abstrakty
Purpose: During the Covid-19 pandemic, Polish Primary healthcare centres (PHCs) switched to remote medical care provided in the form of teleconsultation to ensure the safety of their patients. The present study was conducted to better understand the factors influencing the general practitioners' (GPs) acceptance of the telemedicine system in Poland. We used the behavioural intentions of GPs to use the teleconsultation system, which is the main factor from the technology acceptance model (TAM) and analysed the impact of the social impact and self-efficacy on this factor. Design/methodology/approach: The analysis used survey data from 361 GPs across Poland in 2021, which were analysed using structural equation modelling. Findings: The results indicate that Polish GPs reported a positive perception and high acceptance of the telemedicine system during the Covid-19 pandemic. The social impact and self-efficacy are determinants of the behavioural intention to use the teleconsultation system by GPs in Poland. Originality/value: The study contributes to empirical knowledge by identifying the vital predictive factors affecting the behavioural intention to use the teleconsultation system by GPs.
Rocznik
Numer
Strony
101--122
Opis fizyczny
Twórcy
autor
- Wrocław University of Science and Technology
autor
- Warsaw University of Technology, Poland
autor
- Warsaw University of Technology, Poland
- Warsaw University of Technology, Poland
Bibliografia
- 1. Adams, D.A., Nelson, R.R., Todd, P.A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly: Management Information Systems, 16(2), 227-247. https://doi.org/10.2307/249577.
- 2. Adenuga, K.I., Iahad, N.A., Miskon, S. (2017). Towards reinforcing telemedicine adoption amongst clinicians in Nigeria. International Journal of Medical Informatics, 104(May), 84-96. https://doi.org/10.1016/j.ijmedinf.2017.05.008.
- 3. Agarwal, R., Sambamurthy, V., Stair, R.M. (2000). Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy-An Empirical Assessment. Information System Research, 11(4), 418-430. https://doi.org/10.1287/ ISRE.11.4.418.11876.
- 4. Ahlan, A., Ahmad, B. (2015). An overview of patient acceptance of Health Information Technology in developing countries: a review and conceptual model. International Journal of Information Systems and Project Management, 3(1). Retrieved from https://aisel.aisnet.org/ijispm/vol3/iss1/3.
- 5. Ajzen, I., Fishbein, M. (2011). Attitudes and the Attitude-Behavior Relation: Reasoned and Automatic Processes. European Review of Social Psychology, 11(1), 1-33. https://doi.org/10.1080/14792779943000116.
- 6. Alexandra, S., Handayani, P.W., Azzahro, F. (2021). Indonesian hospital telemedicine acceptance model: the influence of user behavior and technological dimensions. Heliyon, 7(12), e08599. https://doi.org/10.1016/J.HELIYON.2021.E08599.
- 7. Alqudah, A.A., Al-Emran, M., Shaalan, K. (2021). Technology Acceptance in Healthcare: A Systematic Review. Applied Sciences 2021, Vol. 11, Page 10537, 11(22), 10537. https://doi.org/10.3390/APP112210537.
- 8. Amoako-Gyampah, K., Salam, A. F. (2004). An extension of the technology acceptance model in an ERP implementation environment. Information & Management, 41(6), 731-745. https://doi.org/10.1016/J.IM.2003.08.010.
- 9. Anderson, J.C., Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411-423. https://doi.org/10.1037/0033-2909.103.3.411.
- 10. Bandura, A. (2002). Social foundations of thought and action. In D. Marks (Ed.), The Health Psychology Reader. SAGE. Retrieved from https://books.google.pl/books?hl=pl&lr= &id=PdY9o3l5vpYC&oi=fnd&pg=PA94&ots=uGgUxYYo7M&sig=RIZkxaXWpr3WbZesMI-Bcf0eJ68&redir_esc=y
Typ dokumentu
Bibliografia
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