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Understanding telehealth adoption among healthcare professionals in Saudi Arabia through an extended technology acceptance model

Author

Listed:
  • Batool Al-Jasim

    (Almoosa College of Health Sciences, Mahasin Al-Awal District, Al-Ahsa, Saudi Arabia)

  • Emna Baklouti

    (Psychiatry Department, Razi Psychiatric Hospital, Manouba, Tunisia)

  • Ebtesam Elsayed

    (Department of Public Health, College of Health Sciences, Saudi Electronic University, Riyadh, Saudi Arabia)

  • Khaled Ouanes

    (Department of Health Informatics, College of Health Sciences, Saudi Electronic University, Dammam, Saudi Arabia)

Abstract

This study investigates factors influencing telehealth adoption among healthcare professionals in Saudi Arabia using an extended Technology Acceptance Model (TAM). Incorporating classical TAM constructs—perceived usefulness and ease of use—alongside system quality dimensions such as learnability, interface quality, interaction quality, and reliability, the model was tested on a sample of 102 healthcare professionals from public and private hospitals. Structural Equation Modeling (SmartPLS) results show that perceived usefulness, learnability, interaction quality, and reliability significantly influence satisfaction, which in turn predicts future usage intention. Ease of use and interface quality were not significant, indicating that functional reliability and clinical utility outweigh aesthetics during crisis-driven adoption. The extended TAM demonstrated strong explanatory and predictive power (R² = 0.691 for satisfaction, R² = 0.623 for intention). This research underscores the importance of robust, reliable systems and targeted training to support long-term telehealth adoption in healthcare settings.

Suggested Citation

  • Batool Al-Jasim & Emna Baklouti & Ebtesam Elsayed & Khaled Ouanes, 2025. "Understanding telehealth adoption among healthcare professionals in Saudi Arabia through an extended technology acceptance model," Priviet Social Sciences Journal, Privietlab Research Center, vol. 5(5), pages 42-56, May.
    • Handle: RePEc:prv:pssjpv:455
    DOI: 10.55942/pssj.v5i5.455
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    References listed on IDEAS

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    1. Nouf Sahal Alharbi & Amany Shlyan AlGhanmi & Mochammad Fahlevi, 2022. "Adoption of Health Mobile Apps during the COVID-19 Lockdown: A Health Belief Model Approach," IJERPH, MDPI, vol. 19(7), pages 1-9, March.
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    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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