DOI: 10.7664/CHE20170316
Study on Grouping Method of Diagnosis Related Groups for Surgical Groups in Female Reproductive System
LANG Jing-jing
ZHOU Hai-long
JIANG Qin
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.
Keywords：diagnosis related groupsfemale reproductive systempatient clinical complexity level calculationclassification and regression trees model
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 59-62 )