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探讨广义加性模型在新农合住院报销数据的统计分析中的应用,进行完善新农合医疗基金运行研究.收集福建省安溪县2005年1月1日至2014年12月31日的住院报销数据,利用R软件对按报销级别进行整理后的数据通过广义加性模型拟合并预测后面两年的实际报销金额.模型显示报销人数、可报销金额与因变量呈复杂的非线性关系,而报销级别、报销年份以参数形式进入模型更为适宜,光滑参数图也提供了详实的信息.广义加性模型是探索新农合报销数据间复杂关系的有力工具,依据分析结果建议适当拉大各报销级别补偿比例的差距,让实际补偿资金得到更有效率的使用.
To investigate the application of generalized additive model in the statistical analysis of reimbursement data of new rural cooperative medical institutions and improve the operation of new rural cooperative medical funds.Inpatient reimbursement was collected from January 1, 2005 to December 31, 2014 in Anxi County, Fujian Province. Data and using R software to fit the data reorganized according to the reimbursement level through the generalized additive model and predict the actual reimbursement amount in the next two years.The model shows that the number of reimburses, the reimbursable amount and the dependent variable show a complex non-linear relationship, Reimbursement level, reimbursement years to enter the model as a parameter more appropriate, smooth parameter map also provides detailed information.Generalized additive model is to explore the NCMS reimbursement of complex relationships between the powerful tool, according to the analysis results suggest that appropriate to widen Reimbursement of the level of compensation for the gap between the proportion of the actual compensation funds to be more efficient use.