Patient non-compliance with treatment goals and medical guidance poses significant health risks for the patient and a financial burden on the health care system. The proposed compliance prediction process provides health care professionals with a patient-centric methodology to improve patient self-management. The Social Personal Organizational Technological (SPOT) Patient Compliance Model was developed to integrate the success-critical Performance Shaping Factors (PSF) of the patient compliance system. The SPOT Model will be built and validated in an empirical study to iteratively evaluate the dynamic relationship between compliance prognostics and treatment adherence. PSF risk severity states, determined from compliance stakeholder questionnaires, are input to an algorithm which predicts patient non-compliance probability. SPOT Model predictions can be utilized by providers to develop strategies to mitigate identified compliance risks. Potential benefits of utilizing SPOT Model predictions in treatment decisions include: 1) a reduction in chronic and acute conditions due to effective patient self-management and disease prevention and 2) a significant decrease in patient and health care system resources.
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References
1.
AdeponleA.B.BadukuA.S.AdelekanM.L.SuleimanG.T.AdeyemiS.O. (2008). Prospective Study of Psychiatric Follow-up Default and Medication Compliance after Discharge at a Psychiatric Hospital in Nigeria. Community Mental Health Journal45(1), 19–25.
2.
BarbaraR.DicksonV.V.GoldbergL.R., (2007). Social Support Predicts Success in Self-Care in Heart Failure Patients with Excessive Daytime Sleepiness. Journal of Cardiac Failure13(6), S183–S184.
3.
BaumeisterR.F.TiceD.M. (1990). Anxiety and social exclusion. Journal of Social and Clinical Psychology, 9, 165–195.
4.
BeckerM.H. (1974). The Health Belief Model and Personal Health Behavior. New Jersey: Slack.
5.
BiniarisC.G.MarshA.J. (2008). Intelligent device management in the selfcare marketplace. Studies in Health Technology and Informatics, 137, 299–309.
6.
ColemanE.A.BerensonR.A. (2004). Lost in Translation: Challenges and opportunities for improving the quality of transitional care. Annals of Internal Medicine141(7), 553–536.
7.
ConnerM.NormanP. (1996). The role of social cognition in health behaviours. In ConnerM.NormanP.Predicting health behaviour: research and practice with social cognition models (1–22). Buckingham: Open University Press.
8.
CurkendallS.PatelV.GleesonM.CampbellR.S.ZagariM.DouboisR. (2008). Compliance with biologic therapies for rheumatoid arthritis: Do patient out-of-pocket payments matter? Arthritic Care and Research, 59(10), 1519–1526.
9.
DiMatteoM.R. (2004). Variations in patients' adherence to medical recommendations: A quantitative review of 50 years of research. Medical Care, 42, 200–209.
10.
DonovanJ.L. (1995). Patient decision making: The missing ingredient in compliance research. International Journal of Technology Assessment Health Care, 11(3), 443–455.
11.
GlasgowR.E.AndersonR.M. (1999). In diabetes care moving from compliance to adherence is not enough. Diabetes Care, 2, 2090–2091.
12.
GoldneyR.D.PhillipsP.J.FisherL.J.WilsonD.H. (2004). Diabetes, depression, and quality of life, a population study. Diabetes Care, 27, 1066–70.
13.
GreenB.B.CookA.J.RalstonJ.D.FishmanP.A.CatzS.L.CarlsonJ.CarrellD.TyllL.LarsonE.B.ThompsonR.S. (2008). Effectiveness of home blood pressure monitoring, Web communication, and pharmacist care on hypertension control: A randomized controlled trial. JAMA, 299(24), 2857–2867.
IreneH.MyronH.HosseinT. (2005). Web Based Health Education, E-learning, for Weight Management Source. Journal of Medical Systems, 29(6), 611–617.
16.
KlingemannH.SobellL.C.BarkerJ.BlomqvistJ.EllinstadT.GranfieldR.MoggiF.JunkerC.HuntGHodgingsD.FinfgeldD.CloudW. (2001). Promoting Self-Change from Problem Substance Use. Practical Implications for Policy, Prevention and Treatment. Kluwer Academic Publishers: Dordrecht/Boston/London.
17.
KnoppR.H. (1999). Drug treatment of lipid disorders. New England Journal of Medicine, 341, 498–511.
18.
LeeR.G.LaiC.C.ChiangS.S.LiuH.S.ChenC.C.HsiehG.Y. (2006). Design and implementation of a mobile-care system over wireless sensor network for home healthcare applications. Conference Proceedings IEEE Engineering in Medicine and Biology Society, 1, 6004–6007.
MarcusB.H.LewisB.A.WilliamsD.M.DunsigerS.JakicicJ.M.WhiteleyJ.A.AlbrechtA.E.NapolitanoM.A.BockB.C.TateD.F.SciamannaC.N.ParisiA.F. (2007). A comparison of Internet and print-based physical activity interventions. Archives of Internal Medicine, 167(9), 944–949.
21.
McGuireT.G. (2000). Physician agency. In CulyerA.J.New-HouseJ.P.. (eds.). Handbook of Health Economics. North Holland.
22.
McKeeM.D.LurioJ.MarantzP.BurtonW.MulvihillM. (1999). Barriers to follow-up of abnormal Papanicplau smears in an urban community health center. Archives of Family Medicine, 8, 129–134.
23.
MillerW.R.RollnickS. (2002). Motivational interviewing: Preparing people for change. New York: Guilford Press.
24.
RahimiM.Vaughn-CookeM. (2007). Information architecture for an Alzheimer's communication and monitoring system. Gerontechnology, 6(1), 42–55.
25.
RawlS.M.MenonU.ChampionV.L.MayF.E.SrP.L.HunterC.AzzousF.MonahanP.O.SkinnerC.S. (2005). Do benefits and barriers differ by stage of adoption for colorectal cancer screening? Health Education Research, 20, 137–148.
26.
ReasonJ. (1990). Human Error. Cambridge University Press: New York, NY.
27.
RoyR.JahanM.KumariS.ChakrabortyP.K. (2005). Reasons for drug non-compliance of psychiatric patients: A centre based study. Journal of the Indian Academy of Applied Psychology, 31 (1–2), 24–28.
28.
SackettD.L. (1979). Introduction. In: HaynesB.TaylorD.W.SackettD.L.Compliance in Health Care. The John Hopkins University Press: Baltimore.
29.
SargentR.G. (1992). Validation and Verification of Simulation Models. Proceedings of 1992 Winter Simulation Conference. Arlington, VA, 104–114.
30.
SpiegelD.Giese-DavisJ.. (2003). Depression and cancer: Mechanisms and disease progression. Biological Psychiatry, 54, 269–82.
31.
TsuyukiR.T.BungardT.J. (2001). Poor adherence with hypolipidemic drugs: A lost opportunity. Pharmacotherapy, 21, 576–582.
32.
VermeireE.HearnshawH.Van RoyenP.DenekensJ. (2001). Patient adherence to treatment: Three decades of research. A comprehensive review. Journal of Clinical Pharmacy and Therapeutics, 26, 331–342.
33.
ZapkaJ.G.PuleoE.TaplinS.H.GoinsK.V.YoodM.U.MouchawarJ.SomkinC.ManosM.M. (2004). Processes of care in cervical and breast cancer screening and follow-up – the importance of communication. Preventative Medicine, 39, 81–90.
34.
ZhengY.F.SaitoT.TakahashiM.IshibashiT.KaiI. (2006). Factors associated with intentions to adhere to colorectal cancer screening follow-up exams. BMC Public Health, 6, 272.
35.
ZugerA. (1998). The other drug problem: Forgetting to take them. New York Times. June 2, C1.
