Understanding trust in mandatory telemedicine use during COVID-19: a modified health belief model approach
Clinical Snapshot
PICO Framework
| P — Population | 288 confirmed COVID-19 patients required to use telemedicine services during isolation in South Korea |
| I — Intervention | Mandatory telemedicine use during COVID-19 pandemic |
| C — Comparator | Not applicable (single group cross-sectional study) |
| O — Outcomes | Trust in telemedicine, behavioral intention to continue using telemedicine services |
Bottom Line
This cross-sectional study of 288 COVID-19 patients in South Korea found that trust in mandatory telemedicine was driven primarily by user self-efficacy, service quality, and cost perceptions rather than health risk beliefs. While the study provides novel insights into telemedicine acceptance under mandatory conditions, the findings have limited generalisability to voluntary telemedicine use in Australian healthcare settings. The research suggests that building patient confidence and ensuring high service quality may be more important than emphasising health risks when promoting telemedicine adoption. However, the cross-sectional design, modest sample size, and potential for selection bias limit the strength of causal inferences. Australian clinicians should focus on patient education and service quality improvement when implementing telehealth services, while recognising that voluntary adoption may involve different psychological factors than mandatory use.
Key Findings
P Value: Not reported
Effect Size: Not reported in abstract
Primary Outcome: Trust in telemedicine positively influenced by self-efficacy, service quality, and perceived cost
Nnt Or Sensitivity: Trust identified as key mediator for continued telemedicine use intention
Confidence Interval: Not reported
Clinical Application
Findings suggest focusing on user self-efficacy and service quality rather than health risk messaging Limited applicability as Australia's telemedicine adoption was largely voluntary; however, insights on service quality and user confidence remain relevant for Medicare-subsidised telehealth services COVID-19 patients and potentially other patients using telemedicine during mandatory or emergency conditions
Abstract
PURPOSE: This study explores the determinants of trust in telemedicine when its use was mandated during the COVID-19 pandemic in South Korea. It extends the health belief model by incorporating two service related constructs: service quality and perceived cost. DESIGN/METHODOLOGY/APPROACH: An online survey was conducted with 288 individuals who were confirmed COVID-19 patients and required to use telemedicine services during isolation. Partial least squares structural equation modeling was applied to examine the relationships between health beliefs including perceived severity, perceived susceptibility and self-efficacy, service perceptions such as service quality and perceived cost, trust in telemedicine and behavioral intention to use telemedicine services. FINDINGS: The results showed that self-efficacy, service quality and perceived cost positively influenced trust in telemedicine. In contrast, perceived severity and perceived susceptibility did not have a meaningful impact. Trust was found to be a key factor in shaping patients' intention to continue using telemedicine services. Overall, the proposed model was supported, highlighting the importance of confidence and service related perceptions in building trust under mandatory usage conditions. ORIGINALITY/VALUE: This study provides empirical evidence on trust formation under mandatory telemedicine use, a scenario rarely explored in the literature. It demonstrates that trust is primarily driven by users' self-efficacy and service perceptions rather than by health risk perceptions, offering practical guidance for enhancing remote care engagement during policy enforced use conditions.
References
- 1.Shin, S., & Lee, W. J. (2026). Understanding trust in mandatory telemedicine use during COVID-19: a modified health belief model approach. International Journal of Health Care Quality Assurance. https://doi.org/10.1108/IJHCQA-07-2025-0084
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