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A Stochastic Game Analysis of Incentives and Behavioral Barriers in Chronic Disease Management

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  • Hui Zhang

    (The Center for Health and the Social Sciences, The University of Chicago, Chicago, Illinois 60637)

  • Christian Wernz

    (Department of Health Administration, Virginia Commonwealth University, Richmond, Virginia 23298)

  • Danny R. Hughes

    (Harvey L. Neiman Health Policy Institute, Reston, Virginia 20191; School of Economics, Georgia Institute of Technology, Atlanta, Georgia 30332)

Abstract

Chronic diseases can be prevented or mitigated by changing the behavior of patients and physicians. Incentives are one of the mechanisms to motivate such change. We present a two-player, multiperiod stochastic game model in which patients and primary care physicians jointly decide on chronic disease management activities. The model accounts for the decisions of patients regarding primary care engagement and lifestyle, as well as physicians’ choice of effort spent in clinical encounters. We capture the behavioral aspects of patients’ decisions by incorporating the health belief model. The physician-patient interaction is modeled as a general-sum stochastic game with switching control structure. A nonlinear programming (NLP) approach is used to find the agents’ optimal strategies. Using data on coronary heart disease, we provide a numerical example that quantifies how behavioral barriers and incentives affect patients’ and physicians’ decisions. Our results provide insights for health policy makers on how to design incentive mechanisms that contribute to more effective chronic disease management.

Suggested Citation

  • Hui Zhang & Christian Wernz & Danny R. Hughes, 2018. "A Stochastic Game Analysis of Incentives and Behavioral Barriers in Chronic Disease Management," Service Science, INFORMS, vol. 10(3), pages 302-319, September.
  • Handle: RePEc:inm:orserv:v:10:y:2018:i:3:p:302-319
    DOI: serv.2018.0211
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    References listed on IDEAS

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    1. Reinganum, Jennifer F., 1981. "Dynamic games of innovation," Journal of Economic Theory, Elsevier, vol. 25(1), pages 21-41, August.
    2. Hui Zhang & Christian Wernz & Danny R. Hughes, 2018. "Modeling and designing health care payment innovations for medical imaging," Health Care Management Science, Springer, vol. 21(1), pages 37-51, March.
    3. Hui Zhang & Christian Wernz & Anthony D. Slonim, 2016. "Aligning incentives in health care: a multiscale decision theory approach," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 4(3), pages 219-244, November.
    4. Lisa M. Maillart & Julie Simmons Ivy & Scott Ransom & Kathleen Diehl, 2008. "Assessing Dynamic Breast Cancer Screening Policies," Operations Research, INFORMS, vol. 56(6), pages 1411-1427, December.
    5. Oguzhan Alagoz & Jagpreet Chhatwal & Elizabeth S. Burnside, 2013. "Optimal Policies for Reducing Unnecessary Follow-Up Mammography Exams in Breast Cancer Diagnosis," Decision Analysis, INFORMS, vol. 10(3), pages 200-224, September.
    6. Franco Sassi & Jeremy Hurst, 2008. "The Prevention of Lifestyle-Related Chronic Diseases: an Economic Framework," OECD Health Working Papers 32, OECD Publishing.
    7. Oguzhan Alagoz & Lisa M. Maillart & Andrew J. Schaefer & Mark S. Roberts, 2004. "The Optimal Timing of Living-Donor Liver Transplantation," Management Science, INFORMS, vol. 50(10), pages 1420-1430, October.
    8. Joseph S. Pliskin & Donald S. Shepard & Milton C. Weinstein, 1980. "Utility Functions for Life Years and Health Status," Operations Research, INFORMS, vol. 28(1), pages 206-224, February.
    9. repec:mpr:mprres:6543 is not listed on IDEAS
    10. repec:mpr:mprres:6526 is not listed on IDEAS
    11. Hey, John D. & Patel, Mahesh S., 1983. "Prevention and cure? : Or: Is an ounce of prevention worth a pound of cure?," Journal of Health Economics, Elsevier, vol. 2(2), pages 119-138, August.
    12. Yarnall, K.S.H. & Pollak, K.I. & Østbye, T. & Krause, K.M. & Michener, J.L., 2003. "Primary care: Is there enough time for prevention?," American Journal of Public Health, American Public Health Association, vol. 93(4), pages 635-641.
    13. Deborah Peikes & Randall Brown & Greg Peterson & Jennifer Schore, 2009. "The Promise of Care Coordination: Models that Decrease Hospitalizations and Improve Outcomes for Medicare Beneficiaries with Chronic Illnesses," Mathematica Policy Research Reports 2de6fbb7f31a459cace4e08ce, Mathematica Policy Research.
    14. Vrieze, O.J. & Tijs, S.H. & Raghavan, T.E.S. & Filar, J.A., 1983. "A finite algorithm for the switching control stochastic game," Other publications TiSEM 61df4c61-65ea-4357-99c0-1, Tilburg University, School of Economics and Management.
    15. Raghavan, T.E.S. & Tijs, S.H. & Vrieze, O.J., 1985. "On stochastic games with additive reward and transition structure," Other publications TiSEM 28f85a14-9a6e-4ed8-9a4b-a, Tilburg University, School of Economics and Management.
    16. Jerzy A. Filar & T. E. S. Raghavan, 1984. "A Matrix Game Solution of the Single-Controller Stochastic Game," Mathematics of Operations Research, INFORMS, vol. 9(3), pages 356-362, August.
    17. McPhee, S.J. & Schroeder, S.A., 1987. "Promoting preventive care: Changing reimbursement is not enough," American Journal of Public Health, American Public Health Association, vol. 77(7), pages 780-781.
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