International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 10 - Issue 5, May 2021 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Perspectives Of Patients' Behavior Towards Mobile Health (Mhealth) In Saudi Arabia: A Modified Model Of The UTAUT

[Full Text]



Tamim Alkhalifah



mobile health(mHealth), technology acceptance, health informatics, UTAUT, trust, Ministry of Health, Saudi Arabia.



The introduction of information and communication technology (ICT) has been studied for the last twenty years. In the context of Saudi Arabia, better healthcare accessibility and quality of service provision could be achieved through a novel IT application specifically designed for the health sector, namely, mobile health (mHealth). Mobile health uses wireless cellular communication systems to facilitate connections between patients and health services. Nevertheless, there are obstacles that are delaying the implementation of this application in Saudi Arabia. In this study, the importance of effort expectancy, performance expectancy, facilitating conditions, system quality, and social influence were highlighted. Also emphasised was the significance of trust and how it affects the intention of patients to use mHealth. Hence, the study presented a research model following the UTAUT model for better understanding the identified constructs concerning mHealth acceptance. It was observed the importance of the identified constructs as well as put forth certain relevant arguments that future studies must explore.



[1] Sadegh, S.S., et al., A framework for m-health service development and success evaluation. International journal of medical informatics, 2018. 112: p. 123-130.
[2] Lee, E. and S. Han, Determinants of adoption of mobile health services. Online Information Review, 2015.
[3] Cajita, M.I., et al., Facilitators of and barriers to mHealth adoption in older adults with heart failure. Computers, informatics, nursing: CIN, 2018. 36(8): p. 376.
[4] Union, I.T., World telecommunication/ICT development report 2010—Monitoring the WSIS targets: A mid-term review. 2010, International Telecommuncation Union Geneva.
[5] Wallis, L., et al., Integrating mHealth at point of care in low-and middle-income settings: the system perspective. Global health action, 2017. 10(sup3): p. 1327686.
[6] Lee, S., Y.-m. Cho, and S.-Y. Kim, Mapping mHealth (mobile health) and mobile penetrations in sub-Saharan Africa for strategic regional collaboration in mHealth scale-up: an application of exploratory spatial data analysis. Globalization and health, 2017. 13(1): p. 63.
[7] Hoque, M.R., An empirical study of mHealth adoption in a developing country: the moderating effect of gender concern. BMC medical informatics and decision making, 2016. 16(1): p. 51.
[8] Deng, Z., X. Mo, and S. Liu, Comparison of the middle-aged and older users’ adoption of mobile health services in China. International journal of medical informatics, 2014. 83(3): p. 210-224.
[9] Fox, G. and R. Connolly, Mobile health technology adoption across generations: Narrowing the digital divide. Information Systems Journal, 2018. 28(6): p. 995-1019.
[10] Matricardi, P.M., et al., The role of mobile health technologies in allergy care: An EAACI position paper. Allergy, 2020. 75(2): p. 259-272.
[11] Tomlinson, M., et al., Scaling up mHealth: where is the evidence? PLoS medicine, 2013. 10(2).
[12] Kahn, J.G., J.S. Yang, and J.S. Kahn, ‘Mobile’health needs and opportunities in developing countries. Health affairs, 2010. 29(2): p. 252-258.
[13] Communications and Information Technology Commission. E-Commerce in Saudi Arabia, Annual Reports. 2017; Available from: http://www.citc.gov.sa.
[14] Fishbein, M. and I. Ajzen, Understanding attitudes and predicting social behavior. 1980.
[15] Davis, F.D., A technology acceptance model for empirically testing new end-user information systems: Theory and results. 1985, Massachusetts Institute of Technology.
[16] Ajzen, I., The theory of planned behavior. Organizational behavior and human decision processes, 1991. 50(2): p. 179-211.
[17] Rogers, E.M., A prospective and retrospective look at the diffusion model. Journal of health communication, 2004. 9(S1): p. 13-19.
[18] Taylor, S. and P. Todd, Decomposition and crossover effects in the theory of planned behavior: A study of consumer adoption intentions. International journal of research in marketing, 1995. 12(2): p. 137-155.
[19] Venkatesh, V. and F.D. Davis, A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 2000. 46(2): p. 186-204.
[20] Venkatesh, V., et al., User acceptance of information technology: Toward a unified view. MIS quarterly, 2003: p. 425-478.
[21] Venkatesh, V. and H. Bala, Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 2008. 39(2): p. 273-315.
[22] Khan, I.U., et al., Exploring the Effects of Culture on Acceptance of Online Banking: A Comparative Study of Pakistan and Turkey by Using the Extended UTAUT Model. Journal of Internet Commerce, 2021: p. 1-34.
[23] Malik, M., Elements Influencing the Adoption of Electronic Banking in Pakistan An investigation carried out by Using Unified Theory of Acceptance and Use Technology (UTAUT) Theory. Journal of Internet Banking and Commerce, 2020. 25(2): p. 1-24.
[24] Hubert, M., et al., Acceptance of smartphone‐based mobile shopping: Mobile benefits, customer characteristics, perceived risks, and the impact of application context. Psychology & Marketing, 2017. 34(2): p. 175-194.
[25] Alkhalifah, T., An Investigation of the Acceptance of Mobile Learning by High School Students in the K-12 Context in the Kingdom of Saudi Arabia. 2018, Flinders University, College of Science and Engineering.
[26] Idrish, S., et al., Mobile health technology evaluation: Innovativeness and efficacy vs. cost effectiveness, in Health Economics and Healthcare Reform: Breakthroughs in Research and Practice. 2018, IGI Global. p. 20-41.
[27] Akter, S., J. D'Ambra, and P. Ray, Trustworthiness in mHealth information services: an assessment of a hierarchical model with mediating and moderating effects using partial least squares (PLS). Journal of the American Society for Information Science and Technology, 2011. 62(1): p. 100-116.
[28] Zhang, X., et al., User acceptance of mobile health services from users’ perspectives: The role of self-efficacy and response-efficacy in technology acceptance. Informatics for Health and Social Care, 2017. 42(2): p. 194-206.
[29] Wu, J.-H., S.-C. Wang, and L.-M. Lin, Mobile computing acceptance factors in the healthcare industry: A structural equation model. International journal of medical informatics, 2007. 76(1): p. 66-77.
[30] Willison, R., M. Warkentin, and A.C. Johnston, Examining employee computer abuse intentions: Insights from justice, deterrence and neutralization perspectives. Information Systems Journal, 2018. 28(2): p. 266-293.
[31] Liu, F., E. Ngai, and X. Ju, Understanding mobile health service use: An investigation of routine and emergency use intentions. International Journal of Information Management, 2019. 45: p. 107-117.
[32] Hoque, R. and G. Sorwar, Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International journal of medical informatics, 2017. 101: p. 75-84.
[33] Liang, H., et al., Understanding the influence of team climate on IT use. J. AIS, 2010. 11(8): p. 2.
[34] Singh, S., V. Srivastava, and R. Srivastava, Customer acceptance of mobile banking: A conceptual framework. Sies journal of management, 2010. 7(1).
[35] Alshehri, M., et al., The Effects of Website Quality on Adoption of E-Government Service: AnEmpirical Study Applying UTAUT Model Using SEM. arXiv preprint arXiv:1211.2410, 2012.
[36] Deng, Z., et al., What predicts patients’ adoption intention toward mHealth services in China: empirical study. JMIR mHealth and uHealth, 2018. 6(8): p. e172.
[37] Meng, F., et al., Trust and elderly users' continuance intention regarding mobile health services: the contingent role of health and technology anxieties. Information Technology & People, 2021.
[38] Petersen, F., M. Jacobs, and S. Pather. Barriers for user acceptance of mobile health applications for diabetic patients: Applying the utaut model. in Conference on e-Business, e-Services and e-Society. 2020. Springer.
[39] Ajzen, I., From intentions to actions: A theory of planned behavior, in Action control. 1985, Springer. p. 11-39.
[40] Chao, C.-M., Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model. Frontiers in psychology, 2019. 10: p. 1652.
[41] Rahi, S. and M.A. Ghani, Investigating the role of UTAUT and e-service quality in internet banking adoption setting. The TQM Journal, 2019.
[42] Taylor, S. and P.A. Todd, Understanding information technology usage: A test of competing models. Information systems research, 1995. 6(2): p. 144-176.
[43] Chen, J., et al., Public Acceptance of Driverless Buses in China: An Empirical Analysis Based on an Extended UTAUT Model. Discrete Dynamics in Nature and Society, 2020. 2020.
[44] Jewer, J., Patients’ intention to use online postings of ED wait times: A modified UTAUT model. International journal of medical informatics, 2018. 112: p. 34-39.
[45] DeLone, W.H. and E.R. McLean, Information systems success: The quest for the dependent variable. Information systems research, 1992. 3(1): p. 60-95.
[46] Aladwani, A.M. and P.C. Palvia, Developing and validating an instrument for measuring user-perceived web quality. Information & management, 2002. 39(6): p. 467-476.
[47] Schaupp, L.C., W. Fan, and F. Belanger. Determining success for different website goals. in Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06). 2006. IEEE.
[48] Lin, J.C.-C. and H. Lu, Towards an understanding of the behavioural intention to use a web site. International journal of information management, 2000. 20(3): p. 197-208.
[49] Hernandez, J.M.d.C. and C.C.d. Santos, Development-based trust: Proposing and validating a new trust measurement model for buyer-seller relationships. BAR-Brazilian Administration Review, 2010. 7(2): p. 172-197.
[50] Sim, J.J., et al. Trust in vendor and perceived effectiveness of E-commerce institutional mechanisms in M-commerce adoption: A revised UTAUT model. in 2018 8th IEEE international conference on control system, computing and engineering (ICCSCE). 2018. IEEE.
[51] Cohen, J., J.-M. Bancilhon, and M. Jones, South African physicians’ acceptance of e-prescribing technology: an empirical test of a modified UTAUT model. South African Computer Journal, 2013. 50.
[52] Carter, L., et al., Citizen adoption of e-government services: Exploring citizen perceptions of online services in the United States and United Kingdom. Information Systems Management, 2016. 33(2): p. 124-140.
[53] Al Katheeri, H. The Adoption of mHealth Apps Testing the UTAUT Model with Gamification Impact. in International Conference on Applied Human Factors and Ergonomics. 2020. Springer.
[54] Alam, M.Z., et al., Factors influencing the adoption of mHealth services in a developing country: A patient-centric study. International journal of information management, 2020. 50: p. 128-143.