Analysis of Primary Health Care Resource Allocation of Tianjin Based on Agglomeration Degree and TOPSIS Method of Entropy Weight
Bo Yunque
Hui Hua
Wu ning
Zhang Mengjun
Liu Chunyu
Abstract:OBJECTIVE To comprehensively evaluate the allocation of primary medical and health service resources in 16 dis-tricts of Tianjin in 2022,so as to provide suggestions and references for further improving the primary medical and health service sys-tem and promoting the balanced distribution of primary medical and health resources.METHODS The clustering degree and entropy weight TOPSIS method were used to analyze the allocation of primary medical and health service resources in 16 districts of Tianjin,and the existing problems and deficiencies were analyzed.RESULTS According to the concentration degree of health resources,the allocation of primary medical and health resources in the six districts of the city is relatively rich.From the perspective of population concentration,7 of the 16 districts belong to densely populated areas,6 districts belong to average population areas,and 3 districts belong to sparsely populated areas.The allocation fairness in the number of institutions,the number of actual beds,the number of health technicians and other indicators are different in each district.From the comprehensive configuration level,Jinghai district,Jizhou district,Baodi district,Wuqing district,Heping district ranked in the top five.CONCLUSION The level of allocation of primary medical and health resources in different regions varies greatly.In the development pattern of Tianjin and coastal twin cities,the Bincheng area and the surrounding area become weak points.Therefore,geographical and population factors should be comprehensively considered in the allocation of primary medical and health resources,and the allocation level of material resources and human resources should be balanced.
Keywords:agglomeration degreeTOPSIS method of entropy weightprimary health care resource allocation
Publication Date:2023-12-10
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:4( 40-42,47 )
