User Behavior Toward Telemedicine in Saudi Arabia: A Post Covid-19 Demographic Analysis

This report presents results of the study that investigates impact of demographic factors on user behavior toward telemedicine technology, in Saudi Arabia, during the post-COVID-19 era. Drawing on 215 valid survey responses collected through Qualtrics, we analyzed participants’ attitudes, prior usage and willingness to adopt telemedicine services. The findings reveal that prior exposure to telemedicine significantly influences future willingness to adopt, with 84% of users indicating strong agreement to continue using the service. Key factors shaping user perceptions include concerns over privacy, technology literacy and the lack of direct physical interaction with physicians. Among these, technology literacy and future use intentions received the highest positive responses, highlighting their critical role in telemedicine acceptance. Subgroup analysis showed that females and younger participants (particularly those aged 26-35) demonstrated greater openness to telemedicine. The education level was also a key driver, as participants with postgraduate qualifications reported higher acceptance rates. Interestingly, users living in cities and suburbs expressed more favorable attitudes compared to those in rural areas. Correlation analysis has exposed all those described statistical dependencies. In addition to that, our research shows a positive relationship between awareness of telemedicine and willingness to use it. These insights emphasize the importance of targeted education, digital literacy and user familiarity to enhance telemedicine adoption, especially in culturally diverse and developing contexts like Saudi Arabia.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.10.025
Primary Topic
Telemedicine and Telehealth Implementation
Type
article
Field-Weighted Citation Impact
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article

User Behavior Toward Telemedicine in Saudi Arabia: A Post Covid-19 Demographic Analysis

Abdulrahman S. Alamri, Milan Simić, Mohammed H. Al-Qahtani, Lucy Lunevich
Procedia Computer Science
Telemedicine and Telehealth Implementation
article

User Behavior Toward Telemedicine in Saudi Arabia: A Post Covid-19 Demographic Analysis

Abdulrahman S. Alamri, Milan Simić, Mohammed H. Al-Qahtani, Lucy Lunevich
article en

Abstract

This report presents results of the study that investigates impact of demographic factors on user behavior toward telemedicine technology, in Saudi Arabia, during the post-COVID-19 era. Drawing on 215 valid survey responses collected through Qualtrics, we analyzed participants’ attitudes, prior usage and willingness to adopt telemedicine services. The findings reveal that prior exposure to telemedicine significantly influences future willingness to adopt, with 84% of users indicating strong agreement to continue using the service. Key factors shaping user perceptions include concerns over privacy, technology literacy and the lack of direct physical interaction with physicians. Among these, technology literacy and future use intentions received the highest positive responses, highlighting their critical role in telemedicine acceptance. Subgroup analysis showed that females and younger participants (particularly those aged 26-35) demonstrated greater openness to telemedicine. The education level was also a key driver, as participants with postgraduate qualifications reported higher acceptance rates. Interestingly, users living in cities and suburbs expressed more favorable attitudes compared to those in rural areas. Correlation analysis has exposed all those described statistical dependencies. In addition to that, our research shows a positive relationship between awareness of telemedicine and willingness to use it. These insights emphasize the importance of targeted education, digital literacy and user familiarity to enhance telemedicine adoption, especially in culturally diverse and developing contexts like Saudi Arabia.

Procedia Computer ScienceVol. 270
University of Jeddah (SA), RMIT University (AU)
Openalex Percentile: Top 57%
Telemedicine and Telehealth Implementation
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