Acceptance of telehealth in the Kingdom of Saudi Arabia: an application of the UTAUT model
Introduction: Understanding telehealth users’ acceptance is essential for ensuring effective implementation and may lead to successful, higher quality, and safer telehealth programs. Therefore, this study aimed to measure telehealth acceptance in the population of Saudi Arabia and to explore the ass...
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KeAi Communications Co., Ltd.
2025-12-01
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| Series: | Clinical eHealth |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2588914125000218 |
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| author | Abdullah A. Almojaibel Assim M. AlAbdulKader Mohammad A. Al-Bsheish Abdulelah M. Aldhahir Saeed M. Alghamdi Fatma I. Almaghlouth Abdullah S. Alqahtani Jaber S. Alqahtani Yousef D. Alqurashi Mohammed E. Alsubaiei Abdulrahman M. Jabour Mu’taman K. Jarrar Jithin K. Sreedharan Shoug Y. Al Humoud |
| author_facet | Abdullah A. Almojaibel Assim M. AlAbdulKader Mohammad A. Al-Bsheish Abdulelah M. Aldhahir Saeed M. Alghamdi Fatma I. Almaghlouth Abdullah S. Alqahtani Jaber S. Alqahtani Yousef D. Alqurashi Mohammed E. Alsubaiei Abdulrahman M. Jabour Mu’taman K. Jarrar Jithin K. Sreedharan Shoug Y. Al Humoud |
| author_sort | Abdullah A. Almojaibel |
| collection | DOAJ |
| description | Introduction: Understanding telehealth users’ acceptance is essential for ensuring effective implementation and may lead to successful, higher quality, and safer telehealth programs. Therefore, this study aimed to measure telehealth acceptance in the population of Saudi Arabia and to explore the associations between sociodemographic variables and intention to use telehealth. Materials and methods: This study was conducted online from May 1, 2024, to June 30, 2024. Part 1 of the questionnaire collected sociodemographic data. Part 2 employed the Unified Theory of Acceptance and Use of Technology (UTAUT), which includes performance expectancy (PE), effort expectancy (EE), social influence (SF), and facilitating conditions (FC) in addition to the Behavioral Intention (BI) subscale to examine factors influencing telehealth acceptance. The associations between the sociodemographic variables and each construct of the UTAUT and the associations between the sociodemographic variables of participants who agreed for each construct and BI to use telehealth were analyzed using bivariate logistic regression to evaluate predictors. Results: A total of 2234 participants completed the survey. 95.7 % of the participants were positive about using telehealth. PE was a significant predictor of the intention to use telehealth (p < 0.01). EE was also a significant predictor of the positive intention to use telehealth (p < 0.01). SI significantly predicted telehealth usage (p < 0.01), as did the FC construct (p < 0.01). Conclusion: Telehealth was highly accepted by the population in KSA. User acceptance of telehealth was influenced by their perception of its benefits, ease of use, social pressure, and the availability of facilitating logistics such as a computer and the internet. |
| format | Article |
| id | doaj-art-b10f67c857ac4260a511fd7a25a7a51f |
| institution | Kabale University |
| issn | 2588-9141 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Clinical eHealth |
| spelling | doaj-art-b10f67c857ac4260a511fd7a25a7a51f2025-08-24T05:14:00ZengKeAi Communications Co., Ltd.Clinical eHealth2588-91412025-12-01816217410.1016/j.ceh.2025.08.002Acceptance of telehealth in the Kingdom of Saudi Arabia: an application of the UTAUT modelAbdullah A. Almojaibel0Assim M. AlAbdulKader1Mohammad A. Al-Bsheish2Abdulelah M. Aldhahir3Saeed M. Alghamdi4Fatma I. Almaghlouth5Abdullah S. Alqahtani6Jaber S. Alqahtani7Yousef D. Alqurashi8Mohammed E. Alsubaiei9Abdulrahman M. Jabour10Mu’taman K. Jarrar11Jithin K. Sreedharan12Shoug Y. Al Humoud13Department of Respiratory Care, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia; Corresponding author.Department of Family and Community Medicine, Imam Abdulrahman Bin Faisal University, Dammam, Saudi ArabiaHealth Management Department, Batterjee Medical College, Jeddah, Saudi Arabia; Al-Nadeem Governmental Hospital, Ministry of Health, Amman, JordanRespiratory Therapy Program, Nursing Department, College of Nursing and Health Sciences, Jazan University, Jazan, Saudi ArabiaClinical Technology Department, Respiratory Care Program, College of Applied Medical Sciences, Umm Al-Qura University, Makkah 24382, Saudi ArabiaDepartment of Respiratory Therapy, Faculty of Medical Rehabilitation Sciences, King Abdulaziz University, Jeddah, Saudi ArabiaDepartment of Respiratory Care, Prince Sultan Military College of Health Sciences, Dammam, Saudi Arabia; Department of Respiratory Therapy, Armed Forces Hospital, Dhahran, Saudi ArabiaDepartment of Respiratory Care, Prince Sultan Military College of Health Sciences, Dammam, Saudi ArabiaDepartment of Respiratory Care, Imam Abdulrahman Bin Faisal University, Dammam, Saudi ArabiaDepartment of Physical Therapy, Faculty of Applied Medical Sciences, Imam Abdulrahman bin Faisal University, Dammam, Saudi ArabiaDepartment of Public Health, College of Nursing and Health Sciences, Jazan University, Jazan, Saudi ArabiaNursing Department, Princess Aisha Bint Al Hussein College for Nursing and Health Sciences, Al-Hussein Bin Talal University, Ma’an 71111, JordanDepartment of Respiratory Therapy, College of Health Sciences, University of Doha for Science & Technology, Doha, QatarDepartment of Respiratory Care, Imam Abdulrahman Bin Faisal University, Dammam, Saudi ArabiaIntroduction: Understanding telehealth users’ acceptance is essential for ensuring effective implementation and may lead to successful, higher quality, and safer telehealth programs. Therefore, this study aimed to measure telehealth acceptance in the population of Saudi Arabia and to explore the associations between sociodemographic variables and intention to use telehealth. Materials and methods: This study was conducted online from May 1, 2024, to June 30, 2024. Part 1 of the questionnaire collected sociodemographic data. Part 2 employed the Unified Theory of Acceptance and Use of Technology (UTAUT), which includes performance expectancy (PE), effort expectancy (EE), social influence (SF), and facilitating conditions (FC) in addition to the Behavioral Intention (BI) subscale to examine factors influencing telehealth acceptance. The associations between the sociodemographic variables and each construct of the UTAUT and the associations between the sociodemographic variables of participants who agreed for each construct and BI to use telehealth were analyzed using bivariate logistic regression to evaluate predictors. Results: A total of 2234 participants completed the survey. 95.7 % of the participants were positive about using telehealth. PE was a significant predictor of the intention to use telehealth (p < 0.01). EE was also a significant predictor of the positive intention to use telehealth (p < 0.01). SI significantly predicted telehealth usage (p < 0.01), as did the FC construct (p < 0.01). Conclusion: Telehealth was highly accepted by the population in KSA. User acceptance of telehealth was influenced by their perception of its benefits, ease of use, social pressure, and the availability of facilitating logistics such as a computer and the internet.http://www.sciencedirect.com/science/article/pii/S2588914125000218TelehealthTelemedicineAcceptanceIntentionUTAUTKingdom of Saudi Arabia |
| spellingShingle | Abdullah A. Almojaibel Assim M. AlAbdulKader Mohammad A. Al-Bsheish Abdulelah M. Aldhahir Saeed M. Alghamdi Fatma I. Almaghlouth Abdullah S. Alqahtani Jaber S. Alqahtani Yousef D. Alqurashi Mohammed E. Alsubaiei Abdulrahman M. Jabour Mu’taman K. Jarrar Jithin K. Sreedharan Shoug Y. Al Humoud Acceptance of telehealth in the Kingdom of Saudi Arabia: an application of the UTAUT model Clinical eHealth Telehealth Telemedicine Acceptance Intention UTAUT Kingdom of Saudi Arabia |
| title | Acceptance of telehealth in the Kingdom of Saudi Arabia: an application of the UTAUT model |
| title_full | Acceptance of telehealth in the Kingdom of Saudi Arabia: an application of the UTAUT model |
| title_fullStr | Acceptance of telehealth in the Kingdom of Saudi Arabia: an application of the UTAUT model |
| title_full_unstemmed | Acceptance of telehealth in the Kingdom of Saudi Arabia: an application of the UTAUT model |
| title_short | Acceptance of telehealth in the Kingdom of Saudi Arabia: an application of the UTAUT model |
| title_sort | acceptance of telehealth in the kingdom of saudi arabia an application of the utaut model |
| topic | Telehealth Telemedicine Acceptance Intention UTAUT Kingdom of Saudi Arabia |
| url | http://www.sciencedirect.com/science/article/pii/S2588914125000218 |
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