利用控制图检测医院感染暴发的新体验。
A novel experience in the use of control charts for the detection of nosocomial infection outbreaks.
机构信息
Minas Gerais Federal University, Belo Horizonte, MG, Brazil.
出版信息
Clinics (Sao Paulo). 2011;66(10):1681-9. doi: 10.1590/s1807-59322011001000004.
OBJECTIVE
This study aims to compare different control charts to monitor the nosocomial infection rate per 1,000 patient-days.
METHODS
The control charts considered in this study were the traditional Shewhart chart and a variation of this, the Cumulative Sum and Exponentially Weighted Moving Average charts.
RESULTS
We evaluated 238 nosocomial infections that were registered in the intensive care unit and were detected by the Committee for Nosocomial Infection Control in a university hospital in Belo Horizonte, Brazil, in 2004 and 2005. The results showed that the traditional Shewhart chart was the most appropriate method for monitoring periods with large deviations, while the Exponentially Weighted Moving Average and Cumulative Sum charts were better for monitoring periods with smaller deviations of the mean infection rate.
CONCLUSION
The ability to detect nosocomial outbreaks was improved by using the information provided by all three different control charts.
目的
本研究旨在比较不同的控制图，以监测每千名患者住院日的医院感染率。
方法
本研究中考虑的控制图包括传统的休哈特图和其变化形式，即累积和和指数加权移动平均图。
结果
我们评估了 2004 年至 2005 年在巴西贝洛奥里藏特的一所大学医院中，由医院感染控制委员会登记的重症监护病房中发生的 238 例医院感染。结果表明，传统的休哈特图最适合监测具有较大偏差的时期，而指数加权移动平均和累积和图则更适合监测平均感染率偏差较小的时期。
结论
通过使用三种不同控制图提供的信息，可以提高检测医院感染暴发的能力。
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