上海交通大学学报（医学版）

›› 2012, Vol. 32 ›› Issue (10): 1356-.doi: 10.3969/j.issn.1674-8115.2012.10.017

• 论著（卫生事业管理） • 上一篇    下一篇

600例非小细胞肺癌患者住院费用的新灰色关联分析

杜 巍, 张 晓, 高 翠, 张 璟   

  1. 东南大学公共卫生学院医疗保险系, 南京 210009
  • 出版日期:2012-10-28 发布日期:2012-11-05
  • 通讯作者: 张 晓, 电子信箱: zhangxiao@seu.edu.cn。
  • 作者简介:杜 巍（1987—）, 女, 硕士生；电子信箱: xiaodian_2515@163.com。
  • 基金资助:

    国家社科基金重大项目（11&ZD176）

New grey correlation analysis of hospitalization expenses of 600 patients with non-small cell lung cancer

DU Wei, ZHANG Xiao, GAO Cui, ZHANG Jing   

  1. Department of Medical Insurance, School of Public Health, Southeast University, Nanjing 210009, China
  • Online:2012-10-28 Published:2012-11-05
  • Supported by:

    National Social Science Foundation of China, 11&ZD176

PDF (PC)

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摘要：

目的 分析非小细胞肺癌患者住院费用的结构及发展态势，探讨分析不同费用类别指标对住院费用影响的恰当方法。方法 运用新灰色关联分析法，对南京市两家三级甲等医院2005—2009年600例非小细胞肺癌住院患者住院费用中的6项费用类别指标进行量化分析。结果 新灰色关联法分析结果表明，各项费用类别指标与住院费用的关联度由高到低依次为药品费、治疗费、手术费、检查费、化验费和床位费。药品费和治疗费是影响非小细胞肺癌患者住院费用的主要因素，床位费与住院费用的关联度最低。结论 新灰色关联法计算步骤简单，结果合理可靠，适用于住院费用各构成因素关联程度的衡量和动态过程分析。

关键词: 新灰色关联法, 非小细胞肺癌, 住院费用

Abstract:

Objective To analyse the structure of medical cost and its development in inpatients with non-small cell lung cancer, and to explore appropriate methods to analyse the impact of different expenses on the hospitalization expenses. Methods New grey correlation analysis was employed to quantitatively analyse 6 kinds of hospitalization expenses of 600 patients with non-small cell lung cancer in 2 municipal hospitals in Nanjing between 2005 and 2009. Results New grey correlation analysis revealed that the relational degree of 6 kinds of hospitalization expenses sort order from the highest to the lowest were medicine, treatment, operation, examination, laboratory test and bed occupation. Medicine charges and treatment costs were the main factors affecting hospitalization expenses of patients with non-small cell lung cancer, while bed charges had the lowest association with hospitalization expenses. Conclusion New grey correlation analysis can provide reliable results with simple calculation steps, which is suitable for the dynamic analysis of relational degree of different hospitalization expenses.

Key words: new grey correlation analysis, non-small cell lung cancer, hospitalization expense