Indonesian hospital telemedicine acceptance model: the influence of user behavior and technological dimensions

Steffi Alexandra, Putu Wuri Handayani, Fatimah Azzahro

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Since the COVID-19 pandemic hit, several hospitals in Indonesia have started to develop teleconsultation services to expand the reach of health services and prevent the spread of the COVID-19 virus. Therefore, this study was conducted with the aim of analyzing the influence of user and technological dimensions on the acceptance of the use of hospital teleconsultation applications by users. The research was conducted using quantitative methods with data from questionnaires distributed online. The respondent criteria for this study were Indonesians aged 17 years and over who knew about or had used a hospital's teleconsultation application, and this resulted in 534 respondents. Data processing was carried out using the covariance-based structural equation modeling method with the AMOS 24 application. The user behavior and technology dimensions are influence intention to use telemedicine applications. Furthermore, the results showed that contamination avoidance, safety, reliability, professionalism, perceived ease of use, perceived usefulness, and information quality have a significant positive influence on the behavioral intention to use hospital telemedicine applications. Meanwhile, facilitating conditions and social influence were not shown to have a significant positive effect on the behavioral intention to use such applications. Finally, behavioral intention to use significantly and positively influences actual use. This research can help hospitals and the government in providing guidance in terms of developing telemedicine applications.

Original languageEnglish
Article numbere08599
JournalHeliyon
Volume7
Issue number12
DOIs
Publication statusPublished - Dec 2021

Keywords

  • Acceptance model
  • Hospital
  • Indonesia
  • Technological
  • Telemedicine
  • User behaviour

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