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医院感染监测资料统计分析
引用本文:杜勇英,杨南,谢蓉. 医院感染监测资料统计分析[J]. 内蒙古中医药, 2009, 0(7): 14-16
作者姓名:杜勇英  杨南  谢蓉
作者单位:成都市核工业四一六医院,610051
摘    要:目的:了解我院院感发生率、抗生素使用情况以及发生医院感染耐药菌的情况。方法:以回顾性调查的方法,对我院2007年14352份住院病人病历抽查结果进行统计分析,抽查病历1449份。结果:14352位住院病人,282人发生医院感染,总感染率为1.96%。1449份病例抽查结果统计,医院感染发生率前三位分别是呼吸内科8.72%,风湿血液科8.52%,消化科5.56%。医院感染部位前三位分别是下呼吸道感染63.82%,泌尿道感染14.54%,上呼吸道6.4%;抗生素使用率前三位为普外科100%,泌尿外科98.85%,呼吸内科93.20%;医院感染病原菌主要是革兰氏阴性菌58.33%;结论:切实落实医院感染控制措施,加强抗生素合理使用,是降低医院感染发生率的关键。

关 键 词:医院感染  监测资料  统计分析

Statical Analysis on Monitoring Data of Hospital Infection
DU Yongying,YANG Nan,XIE Rong. Statical Analysis on Monitoring Data of Hospital Infection[J]. Nei Mongol Journal of Traditional Chinese Medicine, 2009, 0(7): 14-16
Authors:DU Yongying  YANG Nan  XIE Rong
Affiliation:( The 416 th Hospital of Nuclear Industry, Chengdu, 610051)
Abstract:Purpose: Discussed situation of the hospital infection, the way of using antibiotics and the drug--resistant strains' occur- ration in No. 416 hospital. Methods: Picked up 1449 samples from 14352 paitients in the year of 2007 in random and analyzed the result by statistical methods. Result: In 14352 patients, 282 of them occurred hospital infection(1.96 %). In 1449 samples, there were 3 departments of hospital which got high hospital infection. There were: the department of respiratory (8.72 %), the department of rheumatoid hematologists(8.52 %) and the department of gastroenterology(5. 56 %). The hospital infection often hap- pened in lower respiratory tract cavity(63.82 % ), urinary tract(14.54 % ) and upper respiratory tract cavity(6.4 % ). There were 3 departments of hospital which got high usage of antibiotics. There were: the department of general surgery(100 %), the department of urinary surgery(98.85 %) and the department of respiratory(93.20%). The hospitals infection strain were mainly gram-- negative bacteria(58.33 % ). Result:To find a way to control the hospital infection in an effective way and use the antibiotics reasonably is the most important way in reducing the hospital infection.
Keywords:Hospital infection  Monitoring data  Statistical Analysis
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