摘要
目的了解医院感染的横断面情况。方法采用床旁和病历相结合调查方式,填写个案调查表,对全院所有住院患者进行了1d的医院感染情况调查。结果应查例数663例,实查658例,实查率99.25%,发生医院感染12例,15例次,现患率为1.82%,例次感染率为2.28%,消化内科感染率最高,为3.80%,例次感染率为6.33%,其次为呼吸内科,其感染率及例次感染率均为3.16%;医院感染部位构成中呼吸道感染居首位,其中下呼吸道感染率8例次,占53.33%,上呼吸道感染2例次,占13.33%,泌尿道感染2例次,占13.33%,胃肠道、皮肤软组织和表浅切口感染各1例次,各占6.67%;病原菌送检15例次,送检率为100.00%,检出病原菌8株,阳性率为53.33%;住院患者抗菌药物使用385例,使用率为58.51%,其中治疗用药260例,预防用药99例,治疗+预防26例;一联使用350例,二联使用34例,三联使用1例;抗菌药物使用种类以头孢菌素类为最多,占68.57%。结论通过医院感染现患率调查,及时发现医院感染管理中存在的问题,有利于控制和预防医院感染。
OBJECTIVE To understand the cross-section of hospital nosocomial infection.METHODS One-day survey about nosocomial infection was conducted by using the bedside investigation combined with medical records to fill out the personal questionnaire.RESULTS A total of 663 cases should be checked,658 cases were in real research,the real research rate was 99.25%,among which 12 cases occurred the nosocomial infection,the prevalence rate was 1.82%.Case-time infection rate was 2.28%.The highest rate was presented in department of gastroenterology with 3.80%.Case-time infection rate 6.33%.The following was in department of respiratory,both of the infection rate and case-time infection rate were 3.16% Among the infected sites,the respiratory tract ranked the first,8 cases were lower respiratory tract infection,accounting for 53.33%,and 2 cases of upper infection(13.33%).385 cases used the antibiotics,and the use rate was 58.51%,among which the application for treatment were 260 cases,the use for precaution were 99 cases,while treatment added precaution were 26 cases;350 cases of single application,34 cases of two combination application and 1 case of three combination application;cephalosporin were the most common antibiotics,accounting for 68.57%.CONCLUSION Finding out the problems existed in the NI management in time by conducting the prevalence survey of nosocomial infection will benefit the control and prevention of nosocomial infection.
出处
《中华医院感染学杂志》
CAS
CSCD
北大核心
2010年第20期3119-3121,共3页
Chinese Journal of Nosocomiology
关键词
医院感染
现患率
调查分析
Nosocomial infection
Prevalence rate
Investigation and analysis