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DOI: 10.14569/IJACSA.2019.0100547
PDF

MHealth for Decision Making Support: A Case Study of EHealth in the Public Sector

Author 1: Majed Kamel Al-Azzam
Author 2: Malik Bader Alazzam
Author 3: Majida Khalid al-Manasra

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 5, 2019.

  • Abstract and Keywords
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Abstract: This paper seeks to explore factors that determine the acceptance of the MHealth application patients. The research relied on (UTAUT2) Unified Theory of Acceptance and Use of Technology to assess the level of acceptance of a new mobile health application by patients. The study involved conducting test surveys across medical hospitals in Jordan with the goal of collecting data from hospital visitors and their patients concerning their intention to use the new mobile health application. 98 questionnaires were collected and 44 valid responses drawn from them for onward data analysis. The UTAUT2 research model was the most appropriate one for conducting the evaluation on MHealth’s user acceptance. Its results would support the government’s goal of building m-health solutions that meet user needs. The model also enhances the roles of DSS in facilitating adoption of MHealth applications. This study provides a theoretical framework for pursuing future research work on the rates of adoption of m-health applications by patients.

Keywords: Mobile health application; UTAUT1; UTAUT2; trust factors

Majed Kamel Al-Azzam, Malik Bader Alazzam and Majida Khalid al-Manasra, “MHealth for Decision Making Support: A Case Study of EHealth in the Public Sector” International Journal of Advanced Computer Science and Applications(IJACSA), 10(5), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100547

@article{Al-Azzam2019,
title = {MHealth for Decision Making Support: A Case Study of EHealth in the Public Sector},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100547},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100547},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {5},
author = {Majed Kamel Al-Azzam and Malik Bader Alazzam and Majida Khalid al-Manasra}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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