Study on DRGs grouping and quality control of cerebrovascular disease

VernacularTitle:脑血管病诊断相关组分组及质控研究
Author: Chunhui WANG ; Jiale HU ; Yuxiu LIU ; Dejie DU
Publication Type:Journal Article
Keywords: Cerebrovascular disease; Diagnosis related groups; Quality indicators
From: Journal of Medical Postgraduates 2015;28(10):1079-1082
CountryChina
Language:Chinese
Abstract: Objective Diagnosis related groups ( DRGs) is a system to classify hospital cases into groups , which is effective in the control of medical cost .The article was to explore the DRGs grouping method and quality control indexes of cerebrovascular dis -ease in Nanjing first-class hospitals at grade 3. Methods Polytomous logistic regression for ordinal response was used in the factor analysis of hospitalization cost .E -CHAID decision tree method was applied in the DRGs grouping of cerebrovascular patients . Results Totally 9095 cases were enrolled in this study with the average age was (64.52 ±14.85).The average of stay lengths and expenses were (11.77 ±9.26)d and (25921.04 ±23096.76)rmb respectively.Hospitalization expense was associated with neurologi-cal surgery, main diagnosis, interventional surgery, main complication and ICU days.Taking neurological surgery as the first forced variable, cerebrovascular cases could be divided into 14 DRGs groups. Conclusion The terminal quality control index , the step warning index and case maximum index of cerebrovascular disease established by the DRGs grouping method are suitable in the area .