分级预防法预防血液病患者医院感染的研究  被引量:1

Clinical Study of Classification Prevention Measures in Preventing Hematologic Diseases

在线阅读下载全文

作  者:范旭畅[1] 孙晓敏[1] 齐桂芝[1] 陶西萍[1] 王兴绒[1] 刘萍[1] 魏晨波[1] 

机构地区:[1]西安市中心医院控感办,陕西西安710003

出  处:《中华医院感染学杂志》2010年第15期2219-2221,共3页Chinese Journal of Nosocomiology

摘  要:目的采用分级预防法以预防或减少血液病患者医院感染的发生。方法研究对象分为试验组和对照组;试验组根据患者外周血中性粒细胞计数分为高度易感(<0.5×109/L)、低度易感〔(0.5~2.0)×109/L〕和一般患者(>2×109/L)3个级别,分别采取相应的预防措施;对照组使用血液病常规医院感染预防措施。结果试验组医院感染率(15.70%)明显低于对照组(21.86%),差异有统计学意义(P<0.05);试验组上呼吸道感染率(4.34%)低于对照组(8.29%),差异有统计学意义(P<0.05)。结论分级预防法用于血液病患者针对性强,预防措施调整及时,提高患者的预防意识与依从性,是预防血液患者医院感染的有效方法。OBJECTIVE Using Classification of susceptible patients prevention measures,to prevent nosocomial infection of patients with hematologic diseases.METHODS All the study subjects were divided into study and control groups.According to the peripheral blood neutrophil count,the study group were classified into three levels,the highly susceptible(0.5×109/L),the low susceptible(0.5~2.0×109/L) and the general(2×109/L),and they were taken corresponding preventive measures,respectively.The control group was taken conventional nosocomial infection preventive measures.RESULTS Nosocomial infection rate of the study group(15.70%) was significantly lower than that of control group(21.86%),the difference was statistically significant(P0.05).Upper respiratory tract infection rate of the study group(4.34%) was lower than the control group(8.29%),had significant difference(P0.05).CONCLUSIONS Susceptible patients with differrent prevention measures with the advantages of more targeted,timely adjustment,better compliance of prevention is an effective way to prevent the nosocomial infection in patients with hematologic disease.Promoting the preventive consciousness and compliance is also an effective way to prevent NI of patients with hematologic diseases.

关 键 词:分级预防 血液病患者 医院感染 

分 类 号:R181.32[医药卫生—流行病学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象