Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Oct 3, 2023
Date Accepted: Nov 25, 2024
Reconstructing Risk Dimensions in Telemedicine: Investigating Technology Adoption and barriers during the COVID-19 Pandemic in Taiwan
ABSTRACT
Background:
The COVID-19 pandemic has triggered a shift toward virtual and online healthcare models, affecting both healthcare users and providers. In many countries, including Taiwan, there has been a substantial increase in the utilization of virtual healthcare visits, offering a unique opportunity for researchers to explore user concerns.
Objective:
Our primary aim is to investigate the reconstruction of risk dimensions associated with telemedicine and propose viable solutions to address these concerns. By integrating the newly constructed perceived risk with the Technology Acceptance Model (TAM), we scrutinize various dimensions of perceived risk and their influence on users' perceptions of ease of use (PEOU), perceived usefulness (PU), and usage intention (UI).
Methods:
We collected 1600 valid responses through a comprehensive questionnaire survey and reconstructed risk dimensions using Exploratory Factor Analysis (EFA). Subsequently, we analyzed the intricate relationship between perceived risk, Technology Acceptance Model, and the acceptance of telemedicine using Structural Equation Modeling (SEM).
Results:
Our findings culminated in the reconstruction of eight distinct risk dimensions and unveiled a substantial negative impact of performance risk (PFR) on usage intention. The psychological and social risk (PLSR) seems to be the strongest barrier to the ease of using telemedicine. The resultant model elucidates a remarkable 66% variance in usage intention (UI) for telemedicine services.
Conclusions:
This study makes significant contributions to the broader field of telemedicine research by reconstructing and then redefining eight risk dimensions and confirming the statistical significance of five perceived risks on the adoption of telemedicine services. These insights are poised to facilitate the promotion and enhancement of telemedicine services within the healthcare sector.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.