Abstract
With improvement in people’s living conditions, the diseases which residents are diagnosed with are changing. Specifically, kidney disease, diabetes, cardiovascular disease, cancer and other chronic non-communicable diseases become the principal diseases impairing individual health. The cost gap is huge between different treatments selected by the patients with advanced kidney disease. The medical insurance affects the patient’s choice of treatment, which, in turn, impacts the efficacy of treatment. By utilizing system dynamic, this article, hence, examines how medical insurance influences an individual’s choices of treatment in the hope that more reasonable medical insurance policies may be made for kidney disease patients. First of all, the paper, using the flow chart of system dynamics, describes directionally the relationship between medical insurance and the choice of treatment among kidney disease patients. Then, it proceeds to quantitatively address this problem by employing system dynamics simulation model. The paper, eventually, inspects and corrects the model using the data of Sichuan province, providing a reasonable health policy for kidney disease patients.
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References
Coresh J, Selvin E et al (2007) Prevalence of chronic kidney disease in the united states. Jama 298(17):2038–2047
Garrett G, Sardiwal S et al (2013) Pth-a particularly tricky hormone: why measure it at all in kidney patients? Clinl J Am Soc Nephrol 8(2):299–312
Stevens LA, Coresh J et al (2006) Assessing kidney functionmeasured and estimated glomerular filtration rate. N Engl J Med 354(23):2473–2483
Go AS, Chertow GM et al (2004) Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 351(13):1296–1305
Acknowledgments
The work is supported by the National Natural Science Foundation of China(Grant No. 71301109), the Western and Frontier Region Project of Humanity and Social Sciences Research, Ministry of Education of China (Grant No. 13XJC630018), the Philosophy and Social Sciences Planning Project of Sichuan province (Grant No. SC12BJ05), and the Initial Funding for Young Teachers of Sichuan University (Grant No. 2013SCU11014).
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© 2017 Springer Science+Business Media Singapore
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Liu, W., Zeng, X., Yao, L. (2017). An Analysis of the Impact of Medical Insurance Policies on Treatment Selection Among Kidney Disease Patients via System Dynamics. In: Xu, J., Hajiyev, A., Nickel, S., Gen, M. (eds) Proceedings of the Tenth International Conference on Management Science and Engineering Management. Advances in Intelligent Systems and Computing, vol 502. Springer, Singapore. https://doi.org/10.1007/978-981-10-1837-4_61
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DOI: https://doi.org/10.1007/978-981-10-1837-4_61
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