Spatial Allocation and Location Optimization of Medical Resources in Midwifery Institutions in Shenzhen
Zhu Bin
He Yifei
Zhou Qingqing
Abstract:Objective:To analyze the status quo of medical resources allocation of midwifery institutions in Shenzhen,to measure the spatial accessibility of the midwifery institutions,to give the optimal location of new midwifery institutions,and to optimize the allocation of midwifery medical resources.Methods:The spatial accessibility of midwifery institutions was accurately measured using the two-step moving search method,and the spatial layout optimization analysis was carried out using the model of maximum coverage site selection problem.Results:(1)There is obvious spatial heterogeneity in the accessibility of midwifery institutions in Shenzhen,with the accessibility of the western region higher than that of the eastern region,and that of the urban center higher than the peripheral region;(2)the accessibility of midwifery institutions in Shenzhen is obviously affected by factors such as demography,economy,topography,and road network;(3)after simulating the addition of new midwifery institutions by using the maximal-coverage siting model,the accessibility of midwifery institutions in various districts of Shenzhen rises significantly.Conclusion:(1)to formulate urban maternal and child health care resource plans based on accurate portraits of regional populations;(2)to use the advantages of digital intelligence technology to drive the optimization of the layout and radiation of high-quality maternal and child health care resources;(3)and to give priority to establish maternal and child medical institutions in low-accessibility areas and special medical bus lines.
Keywords:midwifery institutionhealth resource allocationspatial accessibilitylayout optimizationShenzhen
Publication Date:2025-02-04
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:5( 64-68 )
Chinese Health Economics

Chinese Health Economics

ISTICPKUAMI
ISSN:1003-0743
Year, Vol.(Issue):2025,44(2)