Mobile-Phone Based Patient Compliance System for Chronic Illness care in Nigeria


  • O. P. Akinbode Department of Computer Science, Federal Polytechnic Ede, Osun State, Nigeria
  • O. L. Longe Department of Computer Science, Federal Polytechnic Ede, Osun State, Nigeria
  • B.M.G. Amosa Department of Computer Science, Federal Polytechnic Ede, Osun State, Nigeria


Chronic Illness, Association theory, Patient Compliance System, Mobile Phone, Self-regulation


To improve chronic illness care, patients must be empowered and engaged in health self-management. However, only half of all patients with chronic illness comply with treatment programme. The self-regulation model needs practical tools to help patients adopt this selfcentered approach for long-term care. This research work considered a Mobile-phone based Patient Compliance System (MPCS) that can reduce the time-consuming and error-prone processes of existing self-regulation practice to facilitate self-reporting, non-compliance detection, and compliance reminder among patients in Nigeria. The uniqueness of this work is to apply social behavior theories to engineer the MPCS to positively influence patients' compliance behaviors, including mobile-delivered contextual reminders based on association theory; mobiletriggered questionnaires based on self-perception theory; mobile enabled social interactions based on socialconstruction theory, also explained how mobile phone can help patient to comply to their medication treatment; the existence of mobile phones and its uses in health sectors in Nigeria.


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[1] D. Boneh, X. Boyen, and H. Shacham, Short group signatures. In Proceedings of Crypto, 2004, pp. 41–55.
[2] J. Braa and C. Nermunkh, Health Information System in Mongolia: a difficult process of change. In C. Avgeuru & G. Walsham (Eds.), Information Technology in Context, perspectives from developing countries, UK: Ashgate, 2000.
[3] M. Jensen, Africa Internet Connectivity: Information and Communication technologies (ICTs) Telecommunications, Internet and Computer Infrastructure in Africa. Retrieved from The Association for Progressive Communications Web site July, 2010.
[4] E. H Wagner, B. T. Austin, C. Davis, M. Hindmarsh, J. Schaefer, and A. Bonomi, Improving chronic illness care: Translating evidence into action. The Policy Journal of the Health Sphere, Vol. 20(6), 2001.
[5] A. M. Delamater, Improving patient adherence. Clinical Diabetes, vol. 24(2), 2006, pp. 71–77.
[6] V. Gay, and P. Leijdekkers, A health monitoring system using smart phones and wearable sensors. International Journal of Assistive Robotics and Mechatronics, vol. 8(2), 2007, pp. 29–36.
[7] A. G. Logan, W. J. McIsaac, A. Tisler, M. J. Irvine, A. Saunders, A. Dunai, C. A. Rizo, D. S. Feig, M. Hamill, M. Trudel, and J. A. Cafazzo, Mobile phone based remote patient monitoring system for management of hypertension in diabetic patients. American Journal of Hypertension, Vol. 20(9), 2007.
[8] H. Leventhal, E. Halm, C. Horowitz, E. A. Leventhal, and G. Ozakinci, Living with chronic illness: A contextualized, self-regulation approach. In The SAGE Handbook of Health Psychology. SAGE Publications Ltd., 2004.
[9] R. A. Rescorla, and A. R. Wagner, A theory of palovian conditioning: Variations in the effectiveness of reinforcement and non-reinforcement. In Classical Conditioning II. Current Research and Theory, 1972. pp 64– 99.
[10] F. Evangelista, G. Albaum and P. Poon, An empirical test of alternative theories of survey response behavior. Journal of the Market Research Society, Vol. 41(2), 1999, pp. 227–244.
[11] WHO Report, Adherence to long-term therapies: Evidence for action, 2003.
[12] J. Fulk, Social construction of Communication Technology. Academy of Management Journal, Vol. 36(5), 1993.
[13] S. W. Campbell, and T. C. Russo, The social construction of mobile telephony. Communication Monographs, Vol. 70(4), 2003.
[14] B. Idowu, E. Ogunbodede and B. Idowu, Information and Communication Technology in Nigeria: The Health Sector Experience, Journal of Information Technology Impact, 3, 2, 2003, pp. 69–76.
[15] R.T. Lester, L. Gelmon and F.A. Plummer, Cell Phones: Tightening the Communication Gap in Resource-Limited Antiretroviral Programmes? AIDS, 20, 2006, pp 2242–2244.
[16] J. C. McElnay, C. R. McCallion, F Al-Deagi and M. Scott, Self-reported medication non compliance in the elderly. European Journal of Clinical Pharmacology, Vol. 53(3–4), 1997. pp. 171–178.
[17] Guanling Chen, Bo Yan, Minho Shin, David Kotz, Ethan Berke, Mobile-Phone Based Patient Compliance System for Chronic Illness Care. Department of Computer Science, University of Massachusetts Lowell, 2011.




How to Cite

Akinbode, O. P., Longe, O. L., & Amosa, B. (2012). Mobile-Phone Based Patient Compliance System for Chronic Illness care in Nigeria. Journal of Computer Science and Technology, 12(01), p. 22–26. Retrieved from



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