Analysis on the Hospitalization Expenses of Thyroid Cancer Patients Based on Structural Change Degree and Grey Correlation
- VernacularTitle:基于结构变动度及灰色关联分析的某医院甲状腺癌手术患者住院费用研究
- Author:
Yuxin PENG
1
;
Zhixu ZHU
;
Juntao YAN
;
Jing LIU
;
Yingyao CHEN
;
Yan WEI
Author Information
1. 复旦大学公共卫生学院·国家卫生健康委员会卫生技术评估重点实验室(复旦大学) 上海 200032
- Keywords:
thyroid cancer;
hospitalization expenses;
structural change degree;
grey correlation analysis
- From:
Chinese Hospital Management
2024;44(2):83-86
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the structural changes and reasons for hospitalization expenditure among patients with thyroid cancer,so as to provide a reference basis for reasonable control of medical costs,making the structure of hospitalisation costs for patients undergoing surgery for thyroid cancer more rational.Methods The degree of structural change and the grey correlation method were used to quantitatively analyze the changes in the structure of hospitalization expenses and the degree of correlation of patients with thyroid cancer surgery in a hospital in Shanxi Province from 2017 to 2022.Results From 2017 to 2022,the hospitalization expenses of thyroid cancer surgery patients in the hospital showed a decreasing trend,and drug fees and consumables fees accounted for a large proportion.Consumables fees and treatment fees showed positive contribution changes,drug fees and diagnosis fees showed negative contribution changes.Nursing fees and general medical service fees showed positive contribution changes,but were not obvious.During the 6-year period,the top two related factors affecting the hospitalization expenses of thyroid cancer patients were drug fees and consumables fees.Conclusion The structure of hospitalization expenses of per thyroid cancer patients tends to be reasonable,but there is still a large room for improvement.It is suggested to continue to strengthen the control of drugs and medical consumables,and clarify the value composition of technical labor and material consumables,so as to further optimize the structure of hospitalization expenses.
