摘要
目的同时用倾向性评分匹配及广义线性模型的方法研究医院感染的直接经济损失,为感控措施的制定提供参考。方法回顾性调查中国科学院大学深圳医院(西院区)2016年6月-2018年11月所有出院患者的住院信息,将患者分为医院感染组及非医院感染组,用倾向性评分匹配法和广义线性模型法研究病例组与对照组住院天数和住院费用增量。结果倾向性评分匹配后,医院感染组较非医院感染组住院天数中位数增加14.00 d,2.00倍(Z=-21.485,P<0.001),住院费用中位数增加17 264.00元,1.57倍(Z=-13.576,P<0.001),与广义线性模型法得出的结果相似;神经外科感染延长住院时间最长,达31.00 d(Z=-8.225,P<0.001);而重症监护病房感染增加的住院费用最多,达80 096.00元(Z=-6.371,P<0.001);结论医院感染明显增加患者住院时间和住院费用,神经外科和重症监护病房的医院感染,应作为感控工作的重点制定有针对性的措施加以控制。
OBJECTIVE To investigate the direct economic loss due to nosocomial infection by using propensity score matching(PSM) and generalized linear model(GLM) so as provide guidance for development of control measures. METHODS A retrospective survey was conducted for the hospitalized information of all of the patients who were discharged from Shenzhen Hospital, Chinese Academy of Sciences from Jun 2016 to Nov 2018, the patients were divided into the nosocomial infection group and the non-nosocomial infection group, and the length of hospital stay and increase of hospitalization cost of the case group and the control group were studied by means of PSM and GLM. RESULTS After PSM, the median length of hospital stay of the nosocomial infection group was increased by 14.00 days, 2.00 times the length of hospital stay of the non-nosocomial infection group(Z=-21.485,P<0.001).The median hospitalization cost of the nosocomial infection group was increased by 17 264.00 yuan, 1.57 times the hospitalization cost of the non-nosocomial infection group(Z=-13.576,P<0.001), the result of PSM was consistent with that of the GLM.The extended length of hospital stay of the hospitalized patients with infection of neurosurgery department was the longest, reaching to 31.00 days(Z=-8.225,P<0.001).The increased hospitalization cost of the ICU patients with infection was the most, reaching to 80096.00 yuan(Z=-6.371,P<0.001). CONCLUSION The nosocomial infection may result in remarkable extension of length of hospital stay and increase of hospitalization cost, and it is necessary to focus on the control of nosocomial infection in the neurosurgery department and ICU and develop targeted measures.
作者
钟晓
肖丽华
吴庆飞
汪东篱
ZHONG Xiao;XIAO Li-hua;WU Qing-fei;WANG Dong-li(Shenzhen Hospital,Chinese Academy of Sciences,Shenzhen,Guangdong 518106,China)
出处
《中华医院感染学杂志》
CAS
CSCD
北大核心
2020年第1期130-134,共5页
Chinese Journal of Nosocomiology
关键词
医院感染
直接经济损失
住院时间
倾向性评分匹配
广义线性模型
Nosocomial infection
Direct economic loss
Length of hospital stay
Propensity score matching
Generalized linear model
