Yan Chadakan, Samphanwattanachai Boonyarat, Ratarat Chitsanupong, Phinyo Phichayut
Faculty of Business and Technology, Stamford International University, Bangkok, Thailand.
Center for Clinical Epidemiology and Clinical Statistics, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
PLoS One. 2025 Jun 4;20(6):e0325512. doi: 10.1371/journal.pone.0325512. eCollection 2025.
Telemedicine applications have been used worldwide to support the healthcare system in both private and government sectors. However, the factors influencing users' decisions to use the telemedicine application have not been well determined. Exploratory cross-sectional research was conducted using an offline and online questionnaire on Thai individuals aged 18-65. The recruitment period for this study spanned from December 25, 2023, to March 25, 2024, utilizing quota sampling to ensure representation across different regions of Thailand. The objectives were to estimate the proportion of individuals using telemedicine applications and to identify significant determinants of the decision to use telemedicine applications, including Acceptance and Use of Technology, the information systems (IS) Success Model, Trust, and Perceived Risk factors. Exploratory factor analysis (EFA) was used to identify potential latent factors from the 62-item multidimensional questionnaire. Multiple linear regression was used to identify significant determinants of using telemedicine applications. EFA was performed to group 62 variables into 6 latent factors, including trust, ease of use, system quality, benefits of use, price, and service quality. Of 385 Thai individuals, the proportion of those who use telemedicine applications was 63.63%. All six determinants significantly influenced the decision to use telemedicine applications. The factors influencing individuals' decisions to use telemedicine applications include trust, ease of use, system quality, benefits of use, price, and service quality.
远程医疗应用已在全球范围内得到使用，以支持私营和政府部门的医疗保健系统。然而，影响用户使用远程医疗应用决策的因素尚未得到很好的确定。本研究采用线下和线上问卷对18 - 65岁的泰国人进行了探索性横断面研究。本研究的招募期为2023年12月25日至2024年3月25日，采用配额抽样以确保泰国不同地区的代表性。研究目的是估计使用远程医疗应用的个人比例，并确定使用远程医疗应用决策的重要决定因素，包括技术接受与使用、信息系统（IS）成功模型、信任和感知风险因素。探索性因素分析（EFA）用于从62项多维问卷中识别潜在的潜在因素。多元线性回归用于识别使用远程医疗应用的重要决定因素。进行探索性因素分析将62个变量分为6个潜在因素，包括信任、易用性、系统质量、使用效益、价格和服务质量。在385名泰国人中，使用远程医疗应用的比例为63.63%。所有六个决定因素都显著影响了使用远程医疗应用的决策。影响个人使用远程医疗应用决策的因素包括信任、易用性、系统质量、使用效益、价格和服务质量。
