Objective: The paper analyzes the structure of DRG groups with the degree of structural variation to provide a data analysis method for finding out the hospital's illegal adjustment of DRG groups. Methods: Using the evaluation indicators of values of structure variation|degree of structure variation and contribution rate of structure variation|the DRG groups and the number of violation cases of 345 hospitals in Hangzhou in 2020 and 2021 were analyzed. Results: With the increase of contribution rate of structure variation in the interval|the proportion of illegal cases in the total number of inpatient cases in the interval showed an increasing trend. The increase of contribution rate of structure variation in the disease group could reflect the growth trend of violations in medical institutions to a certain extent and there was a positive correlation between them. Conclusion: The analysis of DRG groups structure with the degree of structure change can reflect violations of hospitals|which can be applied in strengthening the medical records supervision in the DRG payment reform.
Key words
DRG /
degree of structure variation /
medical record supervision
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References
[1] 黄虹. 疾病诊断相关分组(DRG)信息系统应知应会[M].上海:上海交通大学出版社,2020.
[2] 梁晚福,马庆红,沙卫芹.结构变动度在医保住院患者医疗费用结构分析中的应用[J].现代医院,2010,10(5):134-136.
[3] 宋燕,卞鹰.住院医保患者的医疗费用结构分析[J].中国卫生政策研究,2010,3(12):25-27.
[4] 刘娜,孟虹,宁义,等.结构变动度在住院死亡患者医疗费用结构分析中的应用[J].中国卫生统计,2008,25(1):29-30.
[5] 周吴平,简伟研.以智能审核应对DRG高靠分组问题[J].中国医疗保险,2022(06):44-47.
[6] 杨婷,王玉贵,杨波,等.结构变动度在住院医疗费用结构分析中的应用[J].中国卫生统计,2010,27(1):90-91.