Study On The Difference And Equalization Of Hospitalized Medical Service In Yunnan Province

In recent years, the study for differences of the basic medical services between some regions, most scholars are turning to urban-rural differences within the country or in a province-wide. So far no one has systematically explored the issue of regional medical service equalization, who has taken all counties of one province as a research unit. On the one hand, Hospital demand for medical services need to be guaranteed, because it is one of the rigid requirements of the most basic medical services; On the other hand, Elimination of inter-regional differences in hospital care is an important part of achieving the equalization of basic medical services. Based on the above two or more premises, I has been multi-ethnic and border areas of Yunnan Province as the analysis object in this paper, and I has analyzed the differences and Equalization of inpatient care for 129 counties of this province.After reviewing and summarizing the related research results of the domestic and foreign medical service differentiation and equalization, I has firstly used entropy method to calculate the weight. According to the comprehensive evaluation model, the development conditions of the inpatient medical services in the all counties of Yunnan province were compared. Then I has inferred the county’s comprehensive measures for the standardized index of dissimilarity, and it has been introduced into the spatial autocorrelation analysis. Based on the spatial correlation theory, the spatial and geographical differences of the utilization level of the inpatient medical services in those counties has been obtained, And it is divided into four categories: at a higher level of the "coupling aggregation region" and the "core region", at the lower level of the "edge region" and the "antagonistic aggregation region”. Comprehensive both differences conclusions of development conditions and utilization levels in individual counties, I has used overlay analysis to divide the inpatient medical services into four areas: developed areas, potential areas, shortage areas and general areas. The results showed that there were 41 " shortage areas " in Yunnan province. According to the 4 contiguous poor areas of Yunnan Province, I has divided this 41 " shortage areas " for " Southwestern Yunnan border shortage areas ", " Northwest Yunnan border shortage areas ", " Wu Meng Shan shortage areas ", " Rocky desertification shortage areas”.In order to achieving the goal of equalization of inpatient medical services in Yunnan Province, I think it should first solve the problem of the shortage of inpatient medical services differentiation of the above four shortage areas. In addition to the development of local economy and the improvement of the hospital’s hardware facilities, I think it should be accord to local conditions to develop the relevant medical security policy from the impact factors of the inpatient medical services of the shortage areas. In this paper, I cannot determine the distribution of the sample data, and I select a random forest regression model to empirical analysis for the inpatient medical services of the shortage areas. This regression is very representative of the machine learning regression method. The results show that the most important factor affecting the cost of hospitalization is health insurance claims, followed by the number of days in hospital. And as we know, hospital costs are the most reflected in the index of inpatient medical services. Therefore, I think that the reform and improvement of the medical insurance system in the shortage area can have an immediate effect on the realization of the equalization of medical service in Yunnan province.