Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jun 16:27:e65304.
doi: 10.2196/65304.

Willingness to Use and Pay for Telemedicine and Teleconsultation Across Five Clinical Domains in South Korea: Cross-Sectional Survey

Affiliations

Willingness to Use and Pay for Telemedicine and Teleconsultation Across Five Clinical Domains in South Korea: Cross-Sectional Survey

Hajae Jeon et al. J Med Internet Res. .

Abstract

Background: The COVID-19 pandemic accelerated global telehealth adoption, prompting the South Korean government to temporarily legalize telemedicine in 2020 and subsequently launch a pilot program in 2023. As South Korea transitions to a postpandemic digital health environment, understanding the factors associated with willingness to use (WTU) and willingness to pay (WTP) for telemedicine and teleconsultation is essential for informing effective policy and service design. However, few studies have explored how preferences vary across clinical domains or user groups.

Objective: This study examined the factors that influence WTU and WTP for telemedicine and teleconsultation across 5 clinical domains: dermatological, psychiatric, musculoskeletal, internal medicine, and cancer disorders.

Methods: A cross-sectional survey was conducted among 552 participants aged 19-69 years in South Korea, selected through stratified sampling. Multiple logistic regression analysis was used to examine WTU and WTP, considering sociodemographic factors and previous telemedicine experience.

Results: Participants' age, residence, and previous telemedicine experience significantly influenced their WTU and WTP for telemedicine services. WTP increased with age for both telemedicine (P-for-trend=.02) and teleconsultation (P-for-trend=.001). Noncapital residents showed significantly higher WTU for teleconsultation than capital area residents (odds ratio [OR] 1.48, 90% CI 1.03-2.12; P=.07). Participants with previous telemedicine experience showed higher WTU for telemedicine (OR 4.07, 90% CI 1.84-9.04; P=.004) and teleconsultation (OR 2.21, 90% CI 1.21-4.06; P=.03), and higher WTP for telemedicine (OR 2.89, 90% CI 1.84-4.54; P<.001) and teleconsultation (OR 2.76, 90% CI 1.77-4.30; P<.001). WTU and WTP varied by clinical domain: psychiatric care showed the highest WTU (64.5%) and WTP (27.0%) for telemedicine, while cancer disorders showed higher WTU (48.6%) and WTP (24.8%) for teleconsultation than for telemedicine.

Conclusions: WTU and WTP for telemedicine and teleconsultation differ substantially depending on service type, clinical domain, and user characteristics. These findings highlight the importance of considering prior telemedicine experience, regional access disparities, and condition-specific care needs when designing digital health strategies. Accordingly, flexible, user-centered telehealth policies are needed to support service accessibility and equitable implementation in the post-COVID-19 era. The insights from this study can serve as a practical foundation for developing inclusive digital health systems in countries undergoing similar transitions.

Keywords: digital health; health technology; patient preferences; telehealth.

PubMed Disclaimer

Conflict of interest statement

Conflicts of Interest: None reported.

Figures

Figure 1
Figure 1
The changes in South Korea’s telemedicine policy during the post–COVID-19 period.
Figure 2
Figure 2
Willingness to use and willingness to pay for telemedicine and teleconsultation across age groups. WTP: willingness to pay; WTU: willingness to use.

Similar articles

References

    1. Mahajan V, Singh T, Azad C. Using telemedicine during the COVID-19 pandemic. Indian Pediatr. 2020;57(7):658–661. doi: 10.1007/s13312-020-1895-6. - DOI - PubMed
    1. Kruse CS, Lee K, Watson JB, Lobo LG, Stoppelmoor AG, Oyibo SE. Measures of effectiveness, efficiency, and quality of telemedicine in the management of alcohol abuse, addiction, and rehabilitation: systematic review. J Med Internet Res. 2020;22(1):e13252. doi: 10.2196/13252. https://www.jmir.org/2020/1/e13252/ v22i1e13252 - DOI - PMC - PubMed
    1. Hong Y, Lee SH. Effectiveness of tele-monitoring by patient severity and intervention type in chronic obstructive pulmonary disease patients: a systematic review and meta-analysis. Int J Nurs Stud. 2019;92:1–15. doi: 10.1016/j.ijnurstu.2018.12.006.S0020-7489(18)30263-3 - DOI - PubMed
    1. Gustke SS, Balch DC, West VL, Rogers LO. Patient satisfaction with telemedicine. Telemedicine Journal. 2000;6(1):5–13. doi: 10.1089/107830200311806. - DOI
    1. Omboni S, Padwal RS, Alessa T, Benczúr B, Green BB, Hubbard I, Kario K, Khan NA, Konradi A, Logan AG, Lu Y, Mars M, McManus RJ, Melville S, Neumann CL, Parati G, Renna NF, Ryvlin P, Saner H, Schutte AE, Wang J. The worldwide impact of telemedicine during COVID-19: current evidence and recommendations for the future. Connect Health. 2022;1:7–35. doi: 10.20517/ch.2021.03. https://boris.unibe.ch/id/eprint/166317 - DOI - PMC - PubMed