What Predicts Patients' Adoption Intention Toward mHealth Services in China: Empirical Study

JMIR MHealth and UHealth
Zhaohua DengFei Xiang

Abstract

With the increasing concerns about the health of individuals in China and the development of information technology, mHealth enables patients to access health information and interact with doctors anytime and anywhere. Examining patients' willingness to use mHealth is considered critical because its success depends on the adoption of patients. The objective of our study was to explore the determinants of mHealth service adoption among Chinese patients using an extended technology acceptance model (TAM) with trust and perceived risks. We conducted a questionnaire-based survey in 3 large hospitals in China and analyzed the data using structural equation modeling. The results corroborated that the proposed model fits well. Trust, perceived usefulness, and perceived ease of use positively correlated with mHealth service adoption. Privacy and performance risks negatively correlated with the patients' trust and adoption intention toward mHealth services. In addition, patients' age and chronic diseases can help predict their trust level and adoption intention toward mHealth, respectively. We concluded that the TAM generally works in the context of mHealth adoption, although its significance has declined. In addition to technical facto...Continue Reading

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Citations

Feb 8, 2020·Computers, Informatics, Nursing : CIN·Scott SittigGeoffrey M Hudson
Aug 22, 2020·Yearbook of Medical Informatics·Hannah K Galvin, Paul R DeMuro
Apr 25, 2020·International Journal of Environmental Research and Public Health·Dan Liang, Guanhua Fan
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Apr 13, 2019·International Journal of Environmental Research and Public Health·Guangyu HuYuanli Liu
Nov 8, 2019·JMIR Mental Health·Jennifer Apolinário-HagenBernhard Breil
Apr 3, 2020·Journal of Medical Internet Research·Panpan ZhuMan Xu
Oct 3, 2020·JMIR MHealth and UHealth·Gorkem AkdurGizdem Akdur
Apr 2, 2019·Journal of Healthcare Engineering·Fanbo MengXinli Zhao
May 28, 2020·JMIR Medical Informatics·Boumediene RamdaniIlhem Berrou
Jan 7, 2021·Tobacco Use Insights·Joonwoo MoonJanice E Smith
Feb 21, 2021·BMJ Health & Care Informatics·Zeleke Abebaw MekonnenBinyam Tilahun
Mar 11, 2021·Information Systems Frontiers : a Journal of Research and Innovation·Ming YangFangyun Yuan
May 21, 2021·International Journal of Telemedicine and Applications·Gilbert Sterling Octavius, Ferdi Antonio
Jun 8, 2021·JMIR MHealth and UHealth·Dario SalviElizabeth Orchard
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Sep 10, 2021·JMIR MHealth and UHealth·Pedro R Palos-SanchezMariano Aguayo-Camacho

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