Analysis and Policy Suggestions on the Charging Structure and Profits of Patients with Neck,Waist and Back Disease Based on Hedonic Model
- VernacularTitle:基于Hedonic模型的颈腰背疾患病组收费结构及盈亏动因分析与政策建议
- Author:
Mengqi XIE
1
;
Mei ZHANG
1
;
Min LIU
1
Author Information
1. 成都中医药大学 四川 成都 611137
- Publication Type:Journal Article
- Keywords:
Diagnosis Related Group;
neck and waist and back disease;
charging structure;
profit and loss dynamics analysis;
Hedonic model
- From:
Chinese Health Economics
2025;44(7):45-50
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To analyze the hospitalization cost of 116 860 patients under DRG implementation,and explore the effect of charging structure on the profit and loss of cases,so as to provide suggestion for improving the medical insurance"item+disease group".Methods:Descriptive analysis,K-means clustering,and the Hedonic model.Results:(1)The average profit and loss of the cases was 83.12±883.175 yuan.The surplus group was 71 148 cases,accounting for 60.88%,while the loss group was 45 712 cases,accounting for 39.12%.(2)There are seven types of charging structures,and cases are mainly distributed in medium service low goods and low service low goods.The average surplus of low service low goods is the most.The cases of high service high goods had the largest average loss.(3)The Hedonic model shows that the key influencing factors of case profit and loss include the"service-commodity"fee structure,the number of days of hospitalization,whether the operation is performed or not,and the level of the hospital.Conclusion:(1)Systematically evaluate the risk effect of structural adjustment on the micro-allocation mechanism of medical insurance budget;(2)strengthen the monitoring of typical disease expenses/costs and the regular mining of collection and payment data;(3)promote the convergence of the"project+disease group/disease"collection and payment system and promote the reform of doctors'salaries;(4)expand the application scenarios of big data decision support in the regional medical and medical insurance economy.
