Open AccessUser Acceptance Level of and Attitudes towards Telemedicine in the United Arab Emirates
Author(s) -
Shaikha Abdool,
Sherief Abdallah,
Suhair Akhlaq,
Hira Abdul Razzak
Publication year - 2021
Publication title -
sultan qaboos university medical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.258
H-Index - 27
eISSN - 2075-0528
pISSN - 2075-051X
DOI - 10.18295/squmj.2021.21.02.008
Subject(s) - technology acceptance model , telemedicine , medicine , usability , arabic , cross sectional study , health care , family medicine , nursing , medical education , applied psychology , psychology , computer science , pathology , linguistics , philosophy , human–computer interaction , economics , economic growth
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.