摘要
目的探索适合南通市肝癌患者的病例诊断组合相关组(DRGs)及费用标准,为相关部门决策提供依据。方法用多重线性回归方法对2006-2013年以肝癌为主要诊断的6882例病案数据进行分析,筛选分类节点变量,运用决策树模型进行病例分组,用绝对值法和相对权重法对住院费用的标准进行测算。结果治疗方法、入院途径、伴随病、转归、并发症、首次入院、性别等作为肝癌病例分类节点的关键变量,共形成17个DRGs组合和相对应住院费用标准。结论病例分组结果合理,住院费用标准和病种权重可作为相关部门参考。
Objective The study explored the case-mix diagnosis-related-groups of patients with liver cancer in Nantong and developed related health expense standards,so as to provide evidence for related departments' decisions. Methods Accord-ing to 6882 inpatients with the principal diagnosis liver cancer from 2006 to 2013 in Nantong tumor hospital,multiple regression model was employed to screening the classification node variables,and the regression tree model was applied to set up the case-mix diagnosis-related-groups. The absolute value method and relative weights were used to calculate the standard. Results The main classification node variables were therapies,admission from emergency setting,prognosis,concomitant diseases,complica-tion,first hospitalization,and gender. 17 diagnosis-related-groups and related health expense standards were established. Conclu-sion Case-mix diagnosis-related-groups are reasonable,and the health expense standards and related case weight could make references for related departments.
出处
《中国卫生统计》
CSCD
北大核心
2017年第5期726-728,共3页
Chinese Journal of Health Statistics
基金
南通市科技局社会发展项目资助(HS2013004)
南通大学博士科研启动基金(14B16)
关键词
病例诊断组合相关组
回归树
肝癌
住院费用
Diagnosis-related-groups
Regression tree
Liver cancer
Hospitalization expense