Analysis of changes in structure variation and grey correlation of hospitalization expense of lung cancer patients undergoing surgery
Objective To analyze the changes in the composition of hospitalization expenses of lung cancer patients undergoing surgery in a certain cancer specialty hospital,and to explore the main factors affecting the hospitalization expenses of lung cancer patients undergoing surgery,so as to provide reference basis for reasonable control of medical expenses.Methods The information of hospitalization expenses composition of 5 578 lung cancer patients undergoing surgery in a certain cancer specialty hospital from January 1,2020 to December 31,2022 was selected.The degree of structure variation and grey correlation analysis methods were used to statistically analyze the structural change and correlation degree of hospitalization expenses of lung cancer patients undergoing surgery.Results In 2020,the proportion of surgical disposable medical materials and surgical expenses in the hospitalization expenses of lung cancer patients undergoing surgical treatment were 35.63％and 11.76％,35.92％and 12.50％in 2021,and 37.83％and 14.63％in 2022.The degree of structure variation of hospitalization expenses of patients was 15.31％,and the degree of annual structure variation was 7.66％.Grey correlation analysis showed that the top three related hospitalization expenses of lung cancer patients undergoing surgery treatment were the surgical disposable medical materials expenses(0.94),western medicine expenses(0.82)and surgical expenses(0.78).Conclusion The surgical disposable materials expenses,western medicine expenses and surgical expenses were the main factors affecting the hospitalization expenses of lung cancer patients.The management of medical consumables should be further strengthened,the structure of medical expenses should be optimized,and the proportion of project costs reflecting labor value should be reasonably increased.
Lung cancerHospitalization expenseDegree of structure variationGrey correlation analysis
NETL
NSTL
万方数据
