Exploration of DRG Optimized Grouping of AIDS Patients based on Decision Tree Model
10.11783/j.issn.1002-3674.2025.03.004
- VernacularTitle:基于决策树模型的艾滋病患者DRG优化分组探索
- Author:
Pingping LU
1
;
Yumei LI
;
Junxia WU
Author Information
1. 南通大学公共卫生学院(226006);南通市第三人民医院病案统计科/南通大学附属南通第三医院
- Publication Type:Journal Article
- Keywords:
Acquired immunodeficiency syndrome;
Disease related groups;
Hospitalization costs;
Decision tree model
- From:
Chinese Journal of Health Statistics
2025;42(3):340-343
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the optimal grouping scheme of diagnosis related groups (DRG) for acquired immunodeficiency syndrome(AIDS) patients and develop cost criteria to provide a reference for implementing DRG payment reform in this region. Methods Information on the first pages of 1987 cases of AIDS patients from Nantong AIDS designated hospitals between 2018 and 2022 was collected, the influencing factors of hospitalization costs were analyzed by applying univariate and multiple linear regression and screening out the classification nodes, and the DRG grouping scheme was constructed by using a decision tree model. Results Complications or comorbidities, number of other diagnoses, and case type were used as classification nodes to form a total of 6 case combinations and corresponding hospitalization cost criteria. The difference in hospitalization cost between groups was statistically significant (P<0. 001), the reduction in variation(RIV) value was 51. 0％, and the coefficient of variation(CV) value of each group was less than 1 (0. 33～0. 63), with good inter-group heterogeneity and intra-group homogeneity. Conclusion The grouping scheme constructed based on the decision tree model is more reasonable, and the standard cost can objectively reflect the actual level of medical consumption of patients, providing a reference for improving DRG grouping and cost payment for AIDS patients in the region.
