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User Acceptance Level of and Attitudes towards Telemedicine in the United Arab Emirates: A quantitative study

OBJECTIVES: This study aimed to examine acceptance levels of and attitudes towards telemedicine among users in the United Arab Emirates (UAE) and assess associations between perceived usefulness (PU), perceived ease of use (PEOU), attitudes towards use (ATU) and behavioural intention of use (BIU) in...

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Detalles Bibliográficos
Autores principales: Abdool, Shaikha, Abdallah, Sherief, Akhlaq, Suhair, Razzak, Hira Abdul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sultan Qaboos University Medical Journal, College of Medicine & Health Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219325/
https://www.ncbi.nlm.nih.gov/pubmed/34221467
http://dx.doi.org/10.18295/squmj.2021.21.02.008
Descripción
Sumario:OBJECTIVES: This study aimed to examine acceptance levels of and attitudes towards telemedicine among users in the United Arab Emirates (UAE) and assess associations between perceived usefulness (PU), perceived ease of use (PEOU), attitudes towards use (ATU) and behavioural intention of use (BIU) in relation to telemedicine technology. METHODS: This cross-sectional study used a simple random sampling design to obtain an appropriate sample from throughout the UAE. The technology acceptance model (TAM) and Rogers’ diffusion of innovations (DOI) theory were applied as the conceptual basis for this study. An Arabic/English version of the questionnaire was distributed via email to physicians and nurses, members of the public (including patients), healthcare directors and information technology professionals. Data were collected from 1st March to 30th August 2019 and analysed using Statistical Package for the Social Sciences (SPSS). RESULTS: A total of 330 participants were included (response rate: 85.7%). BIU and PU were considered important elements of TAM in the adoption of telemedicine services compared to the other variables. The association between PEOU (beta = 0.033, P = 0.692), PU (beta = 0.034; P = 0.679) and ATU (beta = 0.055; P = 0.421) in relation to telemedicine were positive but not significant. However, BIU was found to be a strong significant predictor of actual usage (beta = 0.224; P = 0.003). CONCLUSION: This study confirms TAM’s applicability in the adoption of telemedicine services in the UAE. The results show that users’ perceptions were significantly related to their behavioural intention to use telemedicine. Factors influencing telemedicine technology are likely to vary as technology acceptance in other geographical areas may differ from the sample presented here.