The application of statistical process control charts to the detection and monitoring of hospital-acquired infections

Journal of quality in clinical practice Pub Date : 2002-01-21 DOI:10.1046/j.1440-1762.2001.00423.x

Anthony P Morton MSc(Appl), MD, Michael Whitby MPH, FRACP, Mary-Louise McLaws MPH, PhD, Annette Dobson MSc, PhD, Sean McElwain BSc(Hons), PhD, David Looke MClinEpidemiol, FRACP, Jenny Stackelroth RN, GradDipInfControl, Anna Sartor BSc(Hons), PhD

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引用次数: 127

Abstract The monitoring of infection control indicators including hospital-acquired infections is an established part of quality maintenance programmes in many health-care facilities. However, surveillance data use can be frustrated by the infrequent nature of many infections. Traditional methods of analysis often provide delayed identification of increasing infection occurrence, placing patients at preventable risk. The application of Shewhart, Cumulative Sum (CUSUM) and Exponentially Weighted Moving Average (EWMA) statistical process control charts to the monitoring of indicator infections allows continuous real-time assessment. The Shewhart chart will detect large changes, while CUSUM and EWMA methods are more suited to recognition of small to moderate sustained change. When used together, Shewhart and EWMA methods are ideal for monitoring bacteraemia and multiresistant organism rates. Shewhart and CUSUM charts are suitable for surgical infection surveillance.

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统计过程控制图在医院获得性感染检测与监测中的应用

包括医院获得性感染在内的感染控制指标的监测是许多卫生保健设施质量维持计划的既定部分。然而，由于许多感染的罕见性，监测数据的使用可能会受到挫折。传统的分析方法往往不能及时发现日益增加的感染，使患者处于可预防的风险之中。将Shewhart、累积和(CUSUM)和指数加权移动平均(EWMA)统计过程控制图应用于指标感染监测，可以实现连续的实时评估。Shewhart图将检测大的变化，而CUSUM和EWMA方法更适合于识别小到中等的持续变化。当一起使用时，Shewhart和EWMA方法是监测菌血症和多重耐药生物率的理想方法。Shewhart图和CUSUM图适用于手术感染监测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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