Understanding predictors of telehealth acceptance: A more comprehensive perspective

Chung Hung Tsai*, Jin-Yuan Wang, Shih Wen Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study integrated psychosocial, technological, and health factors into a single unified behavioral model of telehealth systems (Psychosocial-Technological-Health model; PTH model) by applying social capital theory, social cognitive theory, technology acceptance model (TAM), and health belief model (HBM). The structural equation modeling (SEM) was used to assess the proposed model which sample data obtained for the current study were collected from residents of a rural community in Taiwan. The findings illustrated that the joint effects of psychosocial factors on usage intention were mediated by technological and health factors. Furthermore, cues to action, followed by social participation in order, has the strongest total effects on usage intention relative to the other factors. In addition, PTH model provided more explanatory power than TAM and HBM for the behavioral intention of telehealth. The integrated PTH model is thus a valuable guideline toward reinforcement and promotion of community healthcare services in health institutions.

Original languageEnglish
Pages (from-to)5731-5736
Number of pages6
JournalJournal of Computational and Theoretical Nanoscience
Volume13
Issue number9
DOIs
StatePublished - 1 Sep 2016

Keywords

  • Health belief model
  • Psychosocial-technological-health model
  • Social cognitive theory
  • Technology acceptance model
  • Telehealth

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