Development of a Telemedicine Acceptance Model in Indonesia by Considering Trust and Usability Factors for Self-Isolated Patients

Abstract

Telemedicine use during COVID-19 pandemic had significant impact in helping to deal with health problems, especially for self-isolation users. This study aims to develop a theoretical framework for model acceptance technology of telemedicine in Indonesia by considering aspects of trust and usability for self-isolation patients. Technology acceptance model (TAM) is used as a theoretical framework for this study involving several antecedents. Data was collected using Likert scale questionnaire and distributed online, receiving responses from 467 respondents. Partial Least Square-Structural Equation Model (PLS-SEM) analysis method used to explore factors related to behavioral intention and actual use. This study indicates a positive relationship between learnability and memorability on perceived ease of use. Then, effectiveness and trust have a positive relationship to perceived usefulness, but it is proven not to have a positive relationship to behavioral intention to use. Furthermore, the results show that contamination avoidance, perceived ease of use, perceived usefulness, reliability, and information quality significantly affect behavioral intention to use. As for safety and professionalism, it is not proven to have a positive relationship with behavioral intention to use. These findings can provide input for government and telemedicine application developers in considering user factors to anticipate patients using telemedicine in self-isolation.