Study on Grouping Method of Diagnosis Related Groups for Surgical Groups in Female Reproductive System
10.7664/CHE20170316
- VernacularTitle:DRG女性生殖系统手术治疗组细分组方法研究
- Author:
Jingjing LANG
;
Hailong ZHOU
;
Qin JIANG
- Keywords:
diagnosis related groups;
female reproductive system;
patient clinical complexity level calculation;
classification and regression trees model
- From:
Chinese Health Economics
2017;36(3):59-62
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore grouping methods of subdividing adjacent diagnosis related groups(DRGs) by introducing patient clinical complexity level(PCCL) principle and provide references for exploring DRG grouping method in line with context in China.Methods:Clinical complexity level of each complication was assigned by clinicians.PCCL model was selected to calculate the scores of clinical complexity cases.Each adjacent DRG was subdivided into DRG groups by classification and regression trees(CART) model.The rank-sum test was applied to test the statistical significances of the grouping results.Results:9 surgical adjacent DRGs were subdivided into 18 DRG groups.There were statistical significances in the differences of hospitalization expenses and length of stay among different DRG groups in each adjacent group.Conclusion:PCCL model showed high performance in DRG subdivision.The unification of the quality of medical records and coding were the key factors to ensure the reasonable grouping results.
