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Reconstructing Risk Dimensions in Telemedicine: Investigating Technology Adoption and Barriers During the COVID-19
Tzu-Chi Wu1,2,3, Chien-Ta Ho1
1Graduate Institute of Technology Management, National Chung-Hsing University, Taichung, Taiwan.
This study identified key risks impacting telemedicine adoption, finding performance, psychological, and social risks significantly deter users. Addressing these can enhance telemedicine acceptance and utilization in healthcare.
Area of Science:
- Health Informatics
- Human-Computer Interaction
- Technology Acceptance Model
Background:
- The COVID-19 pandemic accelerated telemedicine adoption, increasing user concerns and risks.
- Understanding evolving user perceptions is crucial for effective virtual healthcare implementation.
Purpose of the Study:
- Reconstruct telemedicine risk dimensions and identify adoption risk factors.
- Integrate perceived risk with the Technology Acceptance Model (TAM).
- Propose solutions to mitigate user concerns regarding telemedicine.
Main Methods:
- Anonymous, web-based survey of adults (≥18) who use or may use telemedicine.
- Exploratory factor analysis to reconstruct risk dimensions.
- Structural equation modeling to analyze perceived risk and TAM relationships.
Main Results:
- 1600 valid responses analyzed, reconstructing 8 risk dimensions.
- Performance, psychological, and social risks significantly impacted telemedicine use intention (UI).
- Model explained 66% of the variance in UI for telemedicine services.
Conclusions:
- Redefined 8 risk dimensions, confirming 5 statistically significant risks for telemedicine adoption.
- Identified key barriers to telemedicine acceptance.
- Findings support enhancing telemedicine promotion and healthcare integration.
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