上海交通大学学报(医学版)

• 论著(公共卫生) • 上一篇    下一篇

江苏省某市5种重大疾病患病人群住院费用的新灰色关联分析

李潇潇,张晓,刘蓉,张文杰   

  1. 东南大学 公共卫生学院医疗保险学系, 南京 210009
  • 出版日期:2015-04-28 发布日期:2015-04-29
  • 通讯作者: 张晓, 电子信箱: zhangxiao@seu.edu.cn。
  • 作者简介:李潇潇(1990—), 女, 硕士生; 电子信箱: riconia@126.com。
  • 基金资助:

    国家自然科学基金(71373042)

New grey relational analysis of hospitalization expense of patients with 5 major diseases in a city of Jiangsu Province

LI Xiao-xiao, ZHANG Xiao, LIU Rong, ZHANG Wen-jie   

  1. Department of Medical Insurance, School of Public Health, Southeast University, Nanjing 210009, China
  • Online:2015-04-28 Published:2015-04-29
  • Supported by:

    National Natural Science Foundation of China, 71373042

摘要:

目的 分析5种重大疾病患者住院费用的影响因素及费用结构,探讨大病保险可行的控费措施。方法 运用新灰色关联法,使用SPSS 19.0和Excel 2010对江苏省某市2013年5种重大疾病患者(共2 184例)住院费用的5类构成进行定量分析,计算各因素对住院费用的关联度,找出主要的费用影响因素。结果 新灰色关联分析关联度计算结果表明该地区5种重大疾病患者的住院费用中,西药费是最主要影响因素,其次为治疗费,检验检查费、中药费和其他费用影响较低。结论 新灰色关联法的结果接近实际,计算简明,适用于重大疾病患者住院费用各构成影响因素的分析。

关键词: 大病保险, 住院费用, 新灰色关联

Abstract:

Objective To analyze the influencing factors and structure of hospitalization expense of patients with 5 major diseases and explore feasible measures of controlling the hospitalization expense. Methods The new grey relational analysis was adopted and 5 components of hospitalization expense of 2 184 patients with 5 major diseases in 2013 were quantitatively analyzed by SPSS 19.0 and Excel 2010. The relationship of each factor and hospitalization expense was calculated and the major influencing factor of the expense was identified. Results The results of relationship calculation of new grey relational analysis showed that the drug cost was the most important influencing factor of hospitalization expense of patients with 5 major diseases and the treatment cost was the second important influencing factor. The influence of other costs such as examination costs and costs for traditional Chinese medicine was relatively less. Conclusion The results of new grey relational analysis is close to the reality and the calculation is simple. It is suitable for analyzing the influencing factors of hospitalization expense of patients with major diseases.

Key words: medical insurance for major diseases, hospitalization expense, new grey relational analysis