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Understanding Factors Influencing Diabetic Patients’ Intention to Use Digital Health Services in Saudi Arabia Using the Technology Acceptance Model

Author

Listed:
  • Tagreed Sadeek Al-Sulimani

    (College of Business, University of Jeddah, Jeddah 23445, Saudi Arabia)

  • Waad Bouaguel

    (College of Business, University of Jeddah, Jeddah 23445, Saudi Arabia
    LARODEC, ISG, University of Tunis, Le Bardo 2000, Tunisia)

Abstract

This study employs the Technology Acceptance Model to investigate the factors influencing Saudi Arabian diabetic patients’ intention to use digital health services. There is an urgent need to investigate the possibilities of digital health services in managing diabetes given the startlingly rapidly increasing prevalence rate of diabetes in KSA. The study examines the variables affecting patients’ acceptance and desire to use digital health tools to manage their diabetes. The study employs the Technology Acceptance Model to ascertain the crucial factors that impact patients’ opinions regarding the usefulness and ease of use of digital healthcare technologies. The proposed model extends the traditional Technology Acceptance Model by adding two new constructs, perceived privacy and trust. These constructs were examined by analyzing the intentions of 600 respondents through online surveys. The study’s conclusions showed that attitudes toward using digital health services for KSA diabetic patients are greatly influenced by every component of the extended Technology Acceptance Model. The study’s conclusions add to the body of knowledge already in existence and offer insightful information to decision-makers hoping to improve digital health services.

Suggested Citation

  • Tagreed Sadeek Al-Sulimani & Waad Bouaguel, 2024. "Understanding Factors Influencing Diabetic Patients’ Intention to Use Digital Health Services in Saudi Arabia Using the Technology Acceptance Model," IJERPH, MDPI, vol. 21(7), pages 1-14, July.
    • Handle: RePEc:gam:jijerp:v:21:y:2024:i:7:p:889-:d:1431361
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    References listed on IDEAS

    as
    1. Xu, Zhuo, 2019. "An empirical study of patients' privacy concerns for health informatics as a service," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 297-306.
    2. Khin Shoon Lei Thant Zin & Seieun Kim & Hak-Seon Kim & Israel Fisseha Feyissa, 2023. "A Study on Technology Acceptance of Digital Healthcare among Older Korean Adults Using Extended Tam (Extended Technology Acceptance Model)," Administrative Sciences, MDPI, vol. 13(2), pages 1-18, February.
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