New gray correlation and structural variation degree analysis of average hospitalization costs of patients with hepatitis B cirrhosis at decompensated stage
Objective To understand the average hospitalization cost structure of patients with hepatitis B cirrhosis at decompensated stage from January,2018 to August,2023,so as to provide a reference for reducing the medical burden of pa-tients,optimizing the hospitalization cost structure and controlling the growth of medical costs.Methods The medical costs of 7 459 patients with hepatitis B cirrhosis at decompensated stage in a tertiary hospital in Guangdong Province from a January,2018 to August,2023 were selected.Grey correlation and structural variation degree analysis method were used to analyze the correla-tion degree,variation degree and contribution rate of each item cost of patients.Results The average hospitalization cost of pa-tients with decompensated post-hepatitis B cirrhosis increased year by year from 2018 to 2021,with an average annual growth of 7.01％,and then decreased in 2022 and 2023,with a decline rate of 7.64％and 8.04％,respectively.The top four costs were the drug cost,the diagnosis cost,the consumables cost,and the treatment cost.The drug cost(0.915),the diagnosis cost(0.909)and the consumables cost(0.770)had the highest correlation coefficient.The top three items with the highest structur-al contribution rate were drug cost(43.27％),diagnostic cost(19.12％),and consumables cost(17.91％),and the cumula-tive structural change contribution rate of the three was over 80％.Conclusion The drug cost,diagnostic cost and consumables cost were the main factors affecting hospitalization costs,and were the key points to reduce the hospitalization cost of patients.It is necessary to further adjust and optimize the structure of hospitalization costs,reflect the labor and technology value of medical staff,and reduce the burden of patients'medical expenses.
hospitalization costnew grey correlationstructural variation degreehepatitis B cirrhosis at decompensated stage
NETL
NSTL
维普
万方数据
