【打印本页】 【下载PDF全文】 【HTML】 查看/发表评论下载PDF阅读器关闭

←前一篇|后一篇→

过刊浏览    高级检索

本文已被:浏览 2293次   下载 1873 本文二维码信息
码上扫一扫!
军队医院药品收益主成分回归分析
夏文明1,2,田文华2*,何咸兵1,孙庆文3,汪勇1
0
(1. 解放军81医院医务处, 南京210002
2. 第二军医大学卫生勤务学系卫生事业管理学教研室, 上海 200433
3. 第二军医大学基础部数理教研室, 上海 200433
*通信作者)
摘要:
目的 通过分析7所军队医院2007年至2010年药品收益的影响因素,建立药品收益的回归方程。方法 数据摘自2007年至2010年7所医院财务收支数据和绩效考评数据;用Excel 2003建立数据库,运用SPSS 18.0软件进行医院规模、服务量、当地经济水平、药品加成率等变量的主成分分析。遴选3个主成分进行多重线性回归分析,并建立回归方程。结果 和结论 (1)医院规模和服务量是药品收益的主要影响因素;(2)均次费用对医院药品收益有一定影响;(3)药品加成率和当地经济水平与医院药品收益呈负相关。
关键词:  军队医院  药品收益  主成分分析  回归分析
DOI:10.3724/SP.J.1008.2012.00417
投稿时间:2011-06-08修订日期:2012-03-01
基金项目:
Analysis of drug revenues in military hospitals by principal component regression
XIA Wen-ming1,2,TIAN Wen-hua2*,HE Xian-bing1,SUN Qing-wen3,WANG Yong1
(1. Department of Medical Service, No.81 Hospital of PLA, Nanjing210002, Jiangsu, China
2. Department of Health Administration, Faculty of Health Service, Second Military Medical University, Shanghai 200433, China
3. Department of Mathematics and Physics, College of Basic Medical Sciences, Second Military Medical University, Shanghai200433, China
*Corresponding author.)
Abstract:
Objective To establish a regression equation for drug revenues by analyzing the factors influencing drug revenues in seven military hospitals from 2007 to 2010. Methods The data were obtained from the financial and performance-effect data in 7 hospitals from 2007 to 2010; the database was created by Excel 2003 software. Principal component regression analysis was performed for variables including the hospital scale, amount of service, local economic level, drug add rate using SPSS 18.0 software. Results and Conclusion (1) Hospital scale and amount of service were the critical influencing factors of drug revenues in military hospitals; (2) Per capita cost of outpatient and inpatient also contributed to drug revenues; and (3) drug add rate and local economic level were negative influencing factors of drug revenues.
Key words:  military hospitals  drug revenues  principal components analysis  regression analysis