The Research On Differences Of Health Service Expenditures Factors

With the rapid development of our country economy, the change of the diseasestructure and the trend of population aging, the demand for health service is growing,which made the supply of health resources can’t match with health service needs, andcaused residents health service spending increasing year by year. And the majordisease brings our residents huge spirit pressure and economic burden, which oftenleading to poverty due to disease. At the same time, residents’ health serviceexpenditure also has the characteristics of urban and rural differences.In recent years, many cities in our country started the new health care reform. Inthe process of implementing the new health service reform and the basic drug system,we reduced the residents’ health service spending and improved the health of residents.At the same time, in view of the major disease, our government is focusing onbuilding a major health care and disease rescue mechanism, and carrying out rescuepilots, to reduce the risk of our residents’ major disease. But the overall level of healthservice spending is still on the high side, the scope and proportion of major healthservices is still low, and there is a serious gap between urban and rural areas.This paper took the urban and rural hospitalized patients’ medical expensespayments as an example, and used the economic theory and a variety of data miningtools, to analyze the differences in influence factors of urban and rural medical servicespending and research on major disease type impacting on medical spending, so wecan explore effective strategies of controlling health service expenditures rising,strengthening the major disease protection and reducing the differences of urban andrural.The methods of data mining this study adopted are achieved by SPSS softwareClementine. Firstly, we elaborated the research background, significance, andreviewed the related literature. Then on this basis, we preprocessed the inpatientsmedical expense payment data of urban and rural areas. Secondly, we used feature selection method to choose the attributes that having important effect on healthservice spending as independent variables. We adopted k-means clustering analysismethod dividing urban and rural medical service expenditure respectively, as thedependent variables, so as to build a data mining model.Then, we used support vector machine (SVM) method to arrange the importanceof the influence factors of the urban and rural medical service expenditure, andcompared the rationality of urban and rural differences and screening of variables.Factors that affected urban resident’s health service expenditure, from big to small,respectively are: nation, family per capita income, employment status, type of hospital,hospitalization medical expenses, hospitalization days and the terms of payment;while factors that affected rural resident’s health service expenditure, from big tosmall, respectively are: disease types, hospital types, the reason of leaving the hospital,hospitalization medical expenses and hospitalization days. Differences between urbanand rural medical service spending influence factors not only reflected in the differentimportance, also reflected in the proportion of different.Again, this study aimed at major disease patients, and used K-means clusteringalgorithm to analyze the major disease type influencing on urban and rural medicalservice spending. The proportion of rural patients suffering from major disease ismore than the city’s. And the payment of urban and rural patients who are sufferingfrom the same kind major disease existed differences.Finally, from the perspective of the government, the medical treatment serviceinstitutions and individuals, we established control strategies, so as to realizecontrolling health service spending rising, strengthening the major disease protectionand narrowing the gap between urban and rural areas.