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A Simulation Framework for Evaluating the Effectiveness of Chronic Disease Management Interventions

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  • Rafael Diaz

    (Virginia Modeling, Analysis, and Simulation Center, Old Dominion University, Suffolk, VA, USA)

  • Joshua G. Behr

    (Virginia Modeling, Analysis, and Simulation Center, Old Dominion University, Suffolk, VA, USA)

Abstract

The treatment and management of chronic diseases currently comprise a major fraction of the United States' healthcare expenditures. These expenses are projected to increase as the US population ages. Utilization of the ambulatory healthcare system stemming from chronic conditions has been seen as contributory factor in the rising expenditures. Efforts to better manage chronic conditions ought to result in better health outcomes and, by extension, savings through lower utilization of ambulatory services. The longer-term financial consequences of such interventions, however, are more uncertain. This study offers a System Dynamics simulation framework that identifies and models the critical relationships associated with health outcomes and longer-term financial consequences. This framework is demonstrated through a comparison between groups with a similar generic chronic condition, but one group is subjected to a management intervention and the other group is not. The framework provides constructive insights into how the initial intervention cost estimates, the resulting savings, and the health status may change depending on uncertainties, feedback effects, and cost structures.

Suggested Citation

  • Rafael Diaz & Joshua G. Behr, 2014. "A Simulation Framework for Evaluating the Effectiveness of Chronic Disease Management Interventions," International Journal of Information Systems in the Service Sector (IJISSS), IGI Global, vol. 6(4), pages 40-59, October.
  • Handle: RePEc:igg:jisss0:v:6:y:2014:i:4:p:40-59
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