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The Adoption of Mobile Health Management Services: An Empirical Study

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Abstract

As their populations age, many countries are facing the increasing economic pressure of providing healthcare to their people. In Taiwan, this problem is exacerbated by an increasing rate of obesity and obesity-related conditions. Encouraging the adoption of personal health management services is one way to maintain current levels of personal health and to efficiently manage the distribution of healthcare resources. This study introduces Mobile Health Management Services (MHMS) and employs the Technology Acceptance Model (TAM) to explore the intention of students in Executive Master of Business Management programs to adopt mobile health management technology. Partial least squares (PLS) was used to analyze the collected data, and the results revealed that “perceived usefulness” and “attitude” significantly affected the behavioral intention of adopting MHMS. Both “perceived ease of use” and “perceived usefulness,” significantly affected “attitude,” and “perceived ease of use” significantly affected “perceived usefulness” as well. The results also show that the determinants of intention toward MHMS differed with age; young adults had higher intention to adopt MHMS to manage their personal health. Therefore, relevant governmental agencies may profitably promote the management of personal health among this population. Successful promotion of personal health management will contribute to increases in both the level of general health and the efficient management of healthcare resources.

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References

  1. China Times: Taiwan will confront zero population growth in 2017, http://tw.news.yahoo.com/article/url/d/a/100514/4/25mjv.html. (in Chinese) (Accessed date on 2011/05/14)

  2. Jen, W. Y., Mobile healthcare services in school-based health center. Int. J. Med. Inform. 78:425–434, 2009.

    Article  Google Scholar 

  3. Hunter, D. J., and Brown, J., A review of health management research. Eur. J. Public. Health. 17:33–37, 2007.

    Article  Google Scholar 

  4. Denberg, T. D., Ross, S. E., and Steiner J. F., Patient acceptance of a novel preventive care delivery system. Prev. Med., 44:543–546, 2007.

    Article  Google Scholar 

  5. Pham, H. H., Schrag, D., Hargraves, J. L., and Bach, P. B., Delivery of preventive services to older adults by primary care physicians. JAMA. 294:473–481, 2005.

    Article  Google Scholar 

  6. Stange, K. C., Woolf, S. H., and Gjeltema, K., One minute for prevention: the power of leveraging to fulfill the promise of health behavior counseling. Am. J. Prev. Med. 22:320–323, 2002.

    Article  Google Scholar 

  7. Haddock, C. C., McLean, R. D., Careers in healthcare management: how to find your path and follow it. Chicago: Health Administration Press, 2002.

    Google Scholar 

  8. Istepanian, R. S. H., and Laxminaryan, S., UNWIRED, the next generation of wireless and internetable telemedicine systems-editorial paper. IEEE T. Inf. Technol. B. 4:189–194, 2000.

    Article  Google Scholar 

  9. Istepanian, R. S. H., Jovanov, E., and Zhang, Y. T., Introduction to the special section on m-health: beyond seamless mobility and global wireless health-care connectivity. IEEE T. Inf. Technol. B., 8:405–414, 2004.

    Article  Google Scholar 

  10. Hameed, K., The application of mobile computing and technology to health care services. Telemat. Inform. 20:99–106, 2003.

    Article  Google Scholar 

  11. Chen, H., Wu, W., and Lee, J., A WBAN-based real-time electroencephalogram monitoring system: design and implementation. J. Med. Syst. 34:303–311, 2010.

    Article  Google Scholar 

  12. Eren, A., Subasi, A., and Coskun, O., A decision support system for telemedicine through the mobile telecommunications platform. J. Med. Syst. 32:31–35, 2008.

    Article  Google Scholar 

  13. Chao, C. C., Jen, W. Y., Patient safety management: RFID technology to improve Emergency Room medical care quality. In T. Shih and Q. Li (Eds.), Ubiquitous Multimedia Computing (pp. 323–339). CRC Press, Taylor & Francis Company, chapter 15, 2010.

  14. Tani, S., Marukami, T., Matsuda, A., Shindo, A., Takemoto, K., and Inada, T., Development of a health management support system for patients with diabetes mellitus at home. J. Med. Syst. 34:223–228, 2010.

    Article  Google Scholar 

  15. Chan, A. T. S., WWW+smart card: toward a mobile health care management system. Int. J. Med. Inform. 57:127-137, 2000.

    Article  Google Scholar 

  16. Wu, J., Wang, S., and Lin, L., Mobile computing acceptance factors in the healthcare industry: a structural equation model. Int. J. Med. Inform. 76:66–77, 2007.

    Article  Google Scholar 

  17. Rafael, A., Wangenheim, A., and Bortoluzzi, M., Wireless and PDA: a novel strategy to access DICOM-compliant medical data on mobile devices. Int. J. Med. Inform. 71:157–163, 2003.

    Article  Google Scholar 

  18. Jen, W. Y., and Hung, M. C., An empirical study of adopting mobile healthcare service: The family’s perspective on the healthcare needs of their elderly members. Telemed. e-Health. 16:1–8, 2010.

    Article  Google Scholar 

  19. Lorenz, A., Oppermann, R., Mobile health monitoring for the elderly: designing for diversity. Perv. Mobil. Comp. 5:478–495, 2009.

    Article  Google Scholar 

  20. Lalonde, M., A new perspective on the health of Canadians. Ottawa: Health and Welfare Canada, 1974.

    Google Scholar 

  21. Levin, L. S., Katz, A. H., and Holst, E., Self care: lay initiatives in health. London: Croom Helm, 1977.

    Google Scholar 

  22. Zwetsloot, G., and Pot, F., The business value of health management. J. Bus. Ethics. 55:115–124, 2004.

    Article  Google Scholar 

  23. Rogers, E. M., Diffusion of innovations. New York: Free Press, 2003.

    Google Scholar 

  24. Ajzen, I., From intention to action: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action control: From cognition to behavior. New York: Springer, 1985.

    Google Scholar 

  25. Davis, F. D., Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13: 318–339, 1989.

    Article  Google Scholar 

  26. Davis, F. D., Bagozzi, R. P., and Warshaw, P. R., User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35:982–1003, 1989.

    Article  Google Scholar 

  27. Chau, P. Y. K., and Hu, P. J. H., Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Inf. Manage. 39:297–311, 2002.

    Article  Google Scholar 

  28. Rahimpour, M., Lovell, N. H., Celler, B. G., and McCormick, J., Patients’ perceptions of a home telecare system. Int. J. Med. Inform. 77: 486–498, 2008.

    Article  Google Scholar 

  29. Venkatesh, V., Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inform. Syst. Res. 11: 342–365, 2000.

    Article  Google Scholar 

  30. Venkatesh, V., and Davis, F. D., A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46:186–204, 2000.

    Article  Google Scholar 

  31. Chen, I. J., Yang K. F., Tang F. I., Huang C. H., and Yu S., Applying the technology acceptance model to explore public health nurses’ intentions toward web-based learning: A cross-sectional questionnaire survey. Int. J. Nurs. Stud. 45:869–878, 2008.

    Article  Google Scholar 

  32. Taylor, S., and Todd, P. A., Understanding information technology usage: a test of competing models. Inform. Syst. Res. 6:144–176, 1995.

    Article  Google Scholar 

  33. Fornell, C. A., Second generation of multivariate analysis. Methods: Vol. 1. New York: Praeger, 1982.

  34. Yoo, Y., Alavi., M., Media and group cohesion: relative influences on social presence, task participation, and group consensus. MIS Quart. 25:371–390, 2001.

    Article  Google Scholar 

  35. Fornell, C., Bookstein, F., Two structural equation models: LISREL and PLS Applied to Consumer Exit-Voice Theory. J. Mark. Rese. 19:440–452, 1982.

    Article  Google Scholar 

  36. Jőreskog, K. G, and Sőrbom D., LISREL 8: users’ reference guide. Chicago, IL: Scientific Software International, 1993.

  37. Hair, J. F., Anderson, R. E., Tatham, R. L., and Black, W. C., Multivariate data analysis. Prentice Hall, NJ, 1998.

    Google Scholar 

  38. Fornell, C., and Larcker D. F., Evaluating structural equation models with unobservables and measurement error. J. Market. Res. 18:39–50, 1981.

    Article  Google Scholar 

  39. Farmer, J., Philip, L., King, G., Farrington, J., MacLeod, M., Territorial tensions: Misaligned management and community perspectives on health services for older people in remote rural areas. Heal. and Plac. 16:275–283, 2010.

    Article  Google Scholar 

  40. Chronaki, C. E., Lelis, P., Chiarugi, F., Trypakis, D., Moumouris, K., Stavrakis, H., Kavlentakis, G., Stathiakis, N., Tsiknakis, M., and Orphanoudakis, S. C., An open eHealth platform for health management using adaptable service profiles. Intl. Cong. Seri. 1268: 295–300, 2004.

    Article  Google Scholar 

  41. Tudor, T. L., Marsh, C. L., Butler, S., Van Horn, J. A., and Jenkin, L. E. T., Realising resource efficiency in the management of healthcare waste from the Cornwall National Health Service (NHS) in the UK. Waste. Manage. 28: 1209–1218, 2008.

    Article  Google Scholar 

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Acknowledgements

The authors would like to thank Dr. Ralph Grams, M.D. and the anonymous reviewers for their insightful suggestions.

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Authors and Affiliations

  1. Department of Information Management, Nanhua University, No.32, Chung Keng Li, Dalin, Chia-Yi, Taiwan

    Ming-Chien Hung

  2. Institute of Information and Society, National United University, No.1, Lien Da, Kung-Ching Li, Miao-Li, Taiwan

    Wen-Yuan Jen

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  1. Ming-Chien Hung
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Correspondence to Wen-Yuan Jen.

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Hung, MC., Jen, WY. The Adoption of Mobile Health Management Services: An Empirical Study. J Med Syst 36, 1381–1388 (2012). https://doi.org/10.1007/s10916-010-9600-2

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  • DOI: https://doi.org/10.1007/s10916-010-9600-2

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