Perception study of perceived value and social influence of digital health services in Indonesia

Int J Risk Saf Med. 2023;34(4):367-377. doi: 10.3233/JRS-220058.

Abstract

Background: Healthtech has become a nascent sector of the internet economy since the emergence of the COVID-19 pandemic in 2020. Telemedicine features are facilitated, such as teleconsultation, e-diagnosis, e-prescribing, and e-pharmacy. However, the intention to use digital health services in Indonesia is still underdeveloped though the sales of other risk-free e-commerce products are high enough.

Objective: This study aims to assess the human perception of perceived value and social influences regarding the intention to use digital health services.

Methods: Google Forms web link is employed to disseminate a set of 4-Point Likert scale questionnaires. In total, 364 complete responses are collected. A descriptive approach is employed to process the data using Microsoft Excel and SPSS software. Validity and reliability are quantified using the item total-correlation method and Cronbach's Alpha coefficient.

Results: Only 87 respondents (24%) ever used digital health services, of which Halodoc (92%) is the most preferred application, and teleconsultation became the most popular service to access. Out of four, the average score is 3.16 for perceived value and 2.86 for the social influence dimension.

Conclusion: Most respondents, not dependent on user experience, perceive more values obtained using digital health services, such as time and money savings, convenience, flexible order time, undiscovered identity, adventurous experience, and enjoyment. Another finding of this research proves that some social influences from family, friends, and mass media also bring effect to amplify the intention to use. A low level of trust is assumed to be the cause of a small number of users.

Keywords: Digital health service; human perception; perceived value; social influences; telemedicine.

MeSH terms

  • Humans
  • Indonesia
  • Pandemics*
  • Perception
  • Reproducibility of Results
  • Surveys and Questionnaires