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
{"title":"The application of statistical process control charts to the detection and monitoring of hospital-acquired infections","authors":"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","doi":"10.1046/j.1440-1762.2001.00423.x","DOIUrl":null,"url":null,"abstract":"<p> <b>Abstract</b> 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.</p>","PeriodicalId":79407,"journal":{"name":"Journal of quality in clinical practice","volume":"21 4","pages":"112-117"},"PeriodicalIF":0.0000,"publicationDate":"2002-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1046/j.1440-1762.2001.00423.x","citationCount":"127","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of quality in clinical practice","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1046/j.1440-1762.2001.00423.x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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