2022
DOI: 10.1016/j.ijmedinf.2022.104775
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An empirical study on factors influencing consumers’ motivation towards teleconsultation system use. A preliminary report about the Sehha application from Saudi Arabia

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Cited by 6 publications
(7 citation statements)
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“…24 This shows that various internal and external factors can positively or negatively motivate consumers to use telemedicine services. 25 Consumer perception in this study proved to have a significant influence on the decision to use telemedicine (p=0.017). Respondents' perceptions consist of respondents' views or assessments of ease of access, ease of use, quality of service, and affordability of service rates in digital health service applications.…”
Section: Resultsmentioning
confidence: 62%
“…24 This shows that various internal and external factors can positively or negatively motivate consumers to use telemedicine services. 25 Consumer perception in this study proved to have a significant influence on the decision to use telemedicine (p=0.017). Respondents' perceptions consist of respondents' views or assessments of ease of access, ease of use, quality of service, and affordability of service rates in digital health service applications.…”
Section: Resultsmentioning
confidence: 62%
“…These findings concur with the research done in the United States. Almathami et al [ 23 ] conducted a survey in Saudi Arabia and found that saving time would increase the motivation toward the use of web-based consultations.…”
Section: Discussionmentioning
confidence: 99%
“…To ensure questionnaire validation, all instruments were adopted from published research encompassing both quantitative and qualitative studies. Multimedia Appendix 1 [1,7,12,15,19,20,22,26,[29][30][31][32][33][34][35][36] illustrates each construct's derivation, items of constructs, and the source papers that influenced its formulation.…”
Section: Measurementmentioning
confidence: 99%
“…Finally, we used the structural equation model (SEM) to analyze the structural relationship for the developed framework and test the proposed hypotheses of the constructs. SEM is an exploratory multivariate data analysis technique proposed by Wold [38] and has been widely applied to multiple fields, such as business, economics, health care informatics, and information systems [23,31,32,39,40]. SEM is able to test and validate the proposed theoretical framework, offering insights into the factors influencing the motivation of patients with chronic diseases to adopt AI-based home care systems.…”
Section: Data Analysis Approachmentioning
confidence: 99%
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