Acceptance factors of telemedicine in times of COVID-19: Case Argentina

Jorge Anibal Schlottke, Aldo Alvarez-Risco, Ezequiel Leandro Bertiche, Rocío Belén López, Carla Vanesa Torletti, Facundo Yamil del Hoyo, Shyla Del-Aguila-Arcentales, Christian R. Mejia, Mercedes Rojas-Osorio, Neal M. Davies, Jaime A. Yáñez
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Abstract

We performed an analytical, cross-sectional study of 285 consumers to assess the influence of social influence, resistance to use, facilitators to use, perceived ease of use and perceived usefulness of telemedicine on the intention to use telemedicine of citizens of Argentina in times of the pandemic by COVID-19. The proposed research model was analyzed using partial least square structural equation modeling (PLS-SEM). Perceived ease of use had a positive effect (0.624) on perceived usefulness; facilitating conditions had a positive effect (0.476) on usage intention; perceived risk (-0.062) and social influence (0.072) did not have an effect on usage intention. Bootstrapping showed that the beta coefficients were statistically significant. The outcomes may provide ideas to healthcare managers to know what an expectation about telemedicine is and develop new services directed to patients.
COVID-19 时代远程医疗的接受因素:阿根廷案例
我们对 285 名消费者进行了横截面分析研究,通过 COVID-19 评估了社会影响、使用阻力、使用促进因素、感知易用性和感知有用性对阿根廷公民在大流行时期使用远程医疗的意向的影响。利用偏最小二乘法结构方程模型(PLS-SEM)对提出的研究模型进行了分析。感知易用性对感知有用性有正向影响(0.624);便利条件对使用意向有正向影响(0.476);感知风险(-0.062)和社会影响(0.072)对使用意向没有影响。引导分析表明,贝塔系数在统计上具有显著性。研究结果可为医疗管理人员提供思路,帮助他们了解患者对远程医疗的期望,并开发针对患者的新服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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