首页 | 本学科首页   官方微博 | 高级检索  
     

平均住院日影响因素的灰色关联分析
引用本文:秦峰,沈琼. 平均住院日影响因素的灰色关联分析[J]. 解放军医院管理杂志, 2013, 20(2): 118-120
作者姓名:秦峰  沈琼
作者单位:解放军第105医院医务处,合肥,230031
摘    要:目的了解住院患者平均住院日的主要影响因素,为医院管理者进行科学化、定量化的管理提供参考依据。方法采用灰色关联分析法,结合Excel 2003对某院2002—2012年住院患者平均住院日及其影响因素进行关联分析。结果影响平均住院日的因素根据其关联强度依次为治愈好转率、病床周转次数、抢救成功率、床位使用率、病死率、实际占床总天数、收容人次、手术总例数、院内感染例数。结论用灰色关联分析法分析住院患者平均住院日影响因素,结果可靠,简单易行,为医院管理者合理控制平均住院日提供依据。

关 键 词:医院管理  平均住院日  灰色关联  分析

Grey Relation Analysis of Influence Factors of Average Length of Stay
QIN Feng , SHEN Qiong. Grey Relation Analysis of Influence Factors of Average Length of Stay[J]. Hospital Administration Journal of Chinese People's Liberation Army, 2013, 20(2): 118-120
Authors:QIN Feng    SHEN Qiong
Affiliation:(Division of Medical Affairs, No.105 Hospital of PLA, Hefei 230031)
Abstract:Objectives To find influence factors of average length of stay and provide references for scien- tific and quantified management. Methods The gray correlation analysis was applied to analyzed the average length of stay and its influencing factors of one hospital between 2002 and 2012. Results 9 factors correlated with it, according to the correlation intensity, 9 factors were found, which in turn was the highest in curative rate, dis- charged from the total number of beds, the rescue success rate, utilization rate of beds, mortality rate, sickbed turnover number, hospitalized number, the number of surgeries, the number of inside - hospital infection. Conclu- sion It is convenient to use the grey correlation analysis in researching the influence factor of average length of stay, and the results can provide a reasonable reference for hospital administration.
Keywords:hospital management  average length of stay  grey correlation  analysis
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号