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9 September 2019 Simulation of Narrowing the Gap for Common Ailment' Visiting Rates in Coastline Rural Areas of China
Jian Ma, Runtong Zhang, Qinghua Li, Xiaomin Zhu
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Abstract

Ma, J., Zhang, R., Li, Q., and Zhu, X., 2019. Simulation of narrowing the gap for common ailment' visiting rates in coastline rural areas of China. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 666–670. Coconut Creek (Florida), ISSN 0749-0208.

Nowadays, the polarization trend of consultation rates between big hospitals and primary medical institutions is becoming more and more serious, which indicates that big hospitals are overloaded and have occupied the function of primary medical institutions, and led to the primary medical institutions' insufficient workload, for where there are less and less outpatients to visit. In coastline areas of China, this situation is much worse for the main cause is the residents seeking higher level hospitals even the common ailments or chronic diseases. Thus, this paper proposed a model based on System Dynamics (SD) to balance the two consultation rates by adjusting reimbursement-ratio's d-value (RRD) between Big hospitals and primary medical institutions according to the hospitals' levels, and then, simulate the model with a technical tool named Anylogic to verify the hypothesis. Trial results illustrated that adjusting RRD dynamically can improve the trend of polarization between the MHs and PMIs, guiding patients to PMIs for consulting. In this way, it should be asserted that the medical resources be made good use and the productivity of BHs and PMIs could be improved to some extent.

©Coastal Education and Research Foundation, Inc. 2019
Jian Ma, Runtong Zhang, Qinghua Li, and Xiaomin Zhu "Simulation of Narrowing the Gap for Common Ailment' Visiting Rates in Coastline Rural Areas of China," Journal of Coastal Research 94(sp1), 666-670, (9 September 2019). https://doi.org/10.2112/SI94-132.1
Received: 15 March 2019; Accepted: 20 April 2019; Published: 9 September 2019
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KEYWORDS
big hospital (BH)
primary medical institution (PMI)
Reimbursement ratios' D-value (RRD)
simulation
system dynamics (SD)
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