Objective:To group the hospitalization expenses of the children with bronchopneumonia in order to put forward more reasonable suggestions for the control of hospitalization expenses under DIP payment.Method:The statistical software SPSS 22 was used to conduct the univariate analysis and the multiple linear regression analysis on 3,448 children discharged with bronchial pneumonia from a 3A hospital from October 2019 to 2022.Result:The results showed that the node variables were screened out;the costs were combined by decision tree model;And the standard hospitalization costs and weights for each group were established.The hospitalization cost of children with bronchopneumonia in this hospital is increasing year by year,but the cost structure is being optimized.Through multiple linear regression analysis,the three significant factors of average length of stay,condition of admission and age were taken as classification nodes,and the decision tree model was used to divide them into 6 cost groups.The cost control standard and the early warning line of each group were proposed.Conclusion:The predicted value of hospitalization cost and the cost pre-warning line can provide more accurate references and suggestions for bronchopneumonia cost management and save health resources.
bronchopneumoniachildrencost analysis by disease kinddecision tree modelmultiple linear regression
NETL
NSTL
万方数据
