Using an Extended Technology Acceptance Model to Understand the Factors Influencing Telehealth Utilization After Flattening the COVID-19 Curve in South Korea: Cross-sectional Survey Study

Autor: An, Min Ho, You, Seng Chan, Park, Rae Woong, Lee, Seongwon
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: JMIR Medical Informatics, Vol 9, Iss 1, p e25435 (2021)
Druh dokumentu: article
ISSN: 2291-9694
DOI: 10.2196/25435
Popis: BackgroundAlthough telehealth is considered a key component in combating the worldwide crisis caused by COVID-19, the factors that influence its acceptance by the general population after the flattening of the COVID-19 curve remain unclear. ObjectiveWe aimed to identify factors affecting telehealth acceptance, including anxiety related to COVID-19, after the initial rapid spread of the disease in South Korea. MethodsWe proposed an extended technology acceptance model (TAM) and performed a cross-sectional survey of individuals aged ≥30 years. In total, 471 usable responses were collected. Confirmatory factor analysis was used to examine the validity of measurements, and the partial least squares (PLS) method was used to investigate factors influencing telehealth acceptance and the impacts of COVID-19. ResultsPLS analysis showed that increased accessibility, enhanced care, and ease of telehealth use had positive effects on its perceived usefulness (P=.002, P
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