Abstract
M-Health is a new technology which has evolved from the unprecedented spread of mobile technologies as well as advancements in their innovative application to address health priorities. Implementing mobile technology will promote healthcare services with regards to improvement in accessibility, effectiveness, and affordability. This technology is growing rapidly since it was introduced 20 years ago. There are over 7 billion mobile cellular subscribers worldwide and 1.48 million of these are Malaysian subscribers. The penetration of mobile phone networks in Malaysia has transformed the way health services and information are accessed, delivered, and managed. While this technology is still new, there is a scarcity of research material on the acceptance of M-Health in Malaysia.This study proposes and empirically tests the smartphone users’ characteristics such as users’ sex, age, level of education and health condition as important factors that affected the adoption of new M-Health systems. To fill in this gap, this study is to explore the relationship between the smartphone users’ characteristics, with the intention of using M-Health. This study has recruited 80 smartphone users in Sarawak through random sampling using a survey method. Data were analysed using Statistical Package of Social Sciences (SPSS) Version 17, and various statistical techniques were used such as descriptive analysis, T-Test and One–way ANOVA. Findings indicate that there are no significant differences between sex, age, level of education and having health problems were there was an intention to use M-Health. In conclusion, the acceptance of M-Health is not dependent on the users’ characteristics, hence it is important for health technologies and mobile companies to handle different aspects in the planning and development of healthcare applications for a market strategy.
Keywords: Acceptance, Mobile technologies, M-Health, Smartphone users
Keywords
References
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- Longo, D.R., Patrick, T.B. & Kruse, R.L. (2001). The natural history of the use of healthcare information by women with breast cancer: a conceptual model, AMIA Annual Symposium proceedings, pp. 413-417.
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- Kim, S. H. (2010). Effects of perceived attributes on the purchase intention of smart-phone. Journal of Korea Contents Association, 10(9), 318–326.
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- WHO (2011). mHealth: New horizons for health through mobile technologies.
Abstract
References
- Becker, S., Brandl, C., Meister, S., Nagel, E., Miron-Shatz, T., Mitchell, A & Kribben, A. (2015). Demographic and Health Related Data of Users of a Mobile Application to Support Drug Adherence is Associated with Usage Duration and Intensity. http://dx.doi.org/10.1371/journal.pone.0116980
- Bigné, E., Ruiz, C., & Sanz, S. (2007). Key drivers of mobile commerce adoption an exploratory study of Spanish mobile users. Journal of Theoretical and Applied Electronic Commerce Research, 2(2), 48–60.
- Brown, I., Cajee, Z., Davies, D., & Stroebel, S. (2003). Cell phone banking: Predictors of adoption in South Africa—an exploratory study. International Journal of Information Management, 23(5), 381–394
- Conboy, L., Patel, S., Kaptchuk, T. J., Gottlieb, B., Eisenberg, D., & Acevedo-Garcia, D. (2005). Sociodemographic determinants of the utilization of specific types of complementary and alternative medicine: an analysis based on a nationally representative survey sample. Journal of Alternative & Complementary Medicine: Research on Paradigm, Practice, and Policy, 11(6), 977–994
- Gruessner, V. (2015). The History of Mobile Health: From Cell Phones to Wearables. MHealth Intelligence, 21 July.
- Farhaan, M. Norris, T. & Stockdale, R. (2008). Mobile technologies and the holistic management of chronic diseases. Health Informatics Journal. DOI: 10.1177/1460458208096559
- Illiger, K., Hupka, M., Jan, U.V., Wichelhaus, D. & Albrecth,U.V.(2014). Mobile Technologies: Expectancy, Usage, and Acceptance of Clinical Staff and Patients at a University Medical Center. JMIR Mhealth Uhealth, 2(4): e42. doi: 10.2196/mhealth.3799
- International Telecommunication Union (2015). ICT facts & figures.
- Kennedy, T., Wellman, B., & Klement, K. (2003). Gendering the digital divide. IT & Society, 1(5), 72–96
- Lee, S. J., Kim, Y. W., Seoh, H. S., & Lee, B. G. (2010). Acceptance and rejection of smartphones and application genre repertoire. In Korean society for internet information conference, Seoul, Korea
- Longo, D.R., Patrick, T.B. & Kruse, R.L. (2001). The natural history of the use of healthcare information by women with breast cancer: a conceptual model, AMIA Annual Symposium proceedings, pp. 413-417.
- Loo, J.L.(2009). Acceptance of Health Services on Mobile Phones: A Study of Consumer Perceptions. PhD Dissertation. Chapel Hill
- Myring, J. (2012). HighBeamResarch, http://www.highbeam.com, accessed Apr. 15, 2016. Available from: http://www.highbeam.com/doc/1G1-108911848.html.
- Kim, S. H. (2010). Effects of perceived attributes on the purchase intention of smart-phone. Journal of Korea Contents Association, 10(9), 318–326.
- Wang, B.R., Park, J.Y., Chung, K.Y & Choi, I.Y.(2014). Influential Factors of Smart Health Users according to Usage Experience and Intention to Use. Wireless Pers Commun, 79:2671–2683. DOI 10.1007/s11277-014-1769-0
- Wang, B. R., Park, J. Y., & Choi, I. Y. (2011). Influencing factors for the adoption of smart phone healthcare application. Journal of Korea Contents Association, 11(10), 396–404
- WHO (2011). mHealth: New horizons for health through mobile technologies.
Details
| Primary Language | English |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | August 26, 2016 |
| Submission Date | September 9, 2016 |
| Published in Issue | Year 2016Volume: 2 Issue: 5 |
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