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Appl Clin Inform 2019; 10(05): 820-840
DOI: 10.1055/s-0039-1697906
Research Article
Georg Thieme Verlag KG Stuttgart · New York

The Determinants of M-Health Adoption in Developing Countries: An Empirical Investigation

Ahmad Alaiad
1   Department of Computer Information Systems, Jordan University of Science and Technology, Irbid, Jordan
,
Mohammad Alsharo
2   Department of Information Systems, Al Albayt University, Mafraq, Jordan
,
Yazan Alnsour
3   Accounting and Computer Information Systems Department, Monfort College of Business, University of Northern Colorado, Greeley, Colorado, United States
› Author Affiliations
Further Information

Publication History

02 April 2019

18 August 2019

Publication Date:
30 October 2019 (online)

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Abstract

Background The potential benefit of mobile health (M-Health) in developing countries for improving the efficiency of health care service delivery, health care quality, and patient safety, as well as reducing cost, has been increasingly recognized and emphasized in the last few years.

Objective Limited research has investigated the facilitators and barriers for the adoption of M-Health in developing countries to secure successful implementation of the technology. To fill this knowledge gap, we propose an integrative model that explains the patient's adoption behavior of M-Health in developing countries grounded on the unified theory of acceptance and use of technology, dual-factor model, and health belief model.

Method We empirically tested and evaluated the model based on data collected using a survey method from 280 patients living in a developing country. Partial least squares (PLS-SEM) technique was used for data analysis.

Results The results showed that performance expectancy, effort expectancy, social influence, perceived health threat, M-Health app quality, and life quality expectancy have a direct positive effect on patients’ intention to use M-Health. The results also showed that security and privacy risks have a direct negative effect on the patient's intention to use M-Health. However, resistance to change was found to have an indirect negative effect on patients’ intention to use M-Health through the performance expectancy.

Conclusion The research contributes to the existing literature of health information systems and M-Health by better understanding how technological, social, and functional factors are associated with digital health applications and services use and success in the context of developing countries. With the widespread availability of mobile technologies and services and the growing demand for M-Health apps, this research can help guide the development of the next generation of M-Health apps with a focus on the needs of patients in developing countries. The research has several theoretical and practical implications for the health care industry, government, policy makers, and technology developers and designers.

Keywords

M-Health - technology acceptance - UTAUT - dual-factor model - health belief model - M-Health in developing countries

Protection of Human and Animal Subjects

This study was reviewed and approved by Jordan University of Science and Technology Institutional Review Board.


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