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

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

Rafael Diaz, Joshua G. Behr
Copyright: © 2014 |Volume: 6 |Issue: 4 |Pages: 20
ISSN: 1935-5688|EISSN: 1935-5696|EISBN13: 9781466655140|DOI: 10.4018/ijisss.2014100103
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MLA

Diaz, Rafael, and Joshua G. Behr. "A Simulation Framework for Evaluating the Effectiveness of Chronic Disease Management Interventions." IJISSS vol.6, no.4 2014: pp.40-59. http://doi.org/10.4018/ijisss.2014100103

APA

Diaz, R. & Behr, J. G. (2014). A Simulation Framework for Evaluating the Effectiveness of Chronic Disease Management Interventions. International Journal of Information Systems in the Service Sector (IJISSS), 6(4), 40-59. http://doi.org/10.4018/ijisss.2014100103

Chicago

Diaz, Rafael, and Joshua G. Behr. "A Simulation Framework for Evaluating the Effectiveness of Chronic Disease Management Interventions," International Journal of Information Systems in the Service Sector (IJISSS) 6, no.4: 40-59. http://doi.org/10.4018/ijisss.2014100103

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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.

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