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Monitoring Hospital-Associated Infections with Control Charts

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Frontiers in Statistical Quality Control 10

Part of the book series: Frontiers in Statistical Quality Control ((FSQC,volume 10))

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Abstract

Hospital-associated infections are a major concern in hospitals due to the potential loss of life and increased treatment costs. Monitoring the incidences of infections is an established part of quality maintenance programs for infectious disease departments in hospitals. However, traditional methods of analysis are often inadequate since the incidences of infections occur at relatively low rates. The g-type control chart is ideal for use since it monitors days between infections. However, users of the control charts find the g-type chart counter-intuitive and would prefer to use a u-chart or even a control chart for individuals. In this paper, we investigate g-type chart alternatives and how these charts may be applied to infection control surveillance data from Seattle Childrens Hospital.

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Author information

Authors and Affiliations

  1. Industrial & Systems Engineering, University of Washington, 352650, Seattle, WA, 98195-2650, USA

    Christina M. Mastrangelo & Anna M. Gillan

Authors
  1. Christina M. Mastrangelo
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  2. Anna M. Gillan
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Corresponding author

Correspondence to Christina M. Mastrangelo .

Editor information

Editors and Affiliations

  1. , Inst. Statistik und Ökonometrie, Freie Universität Berlin, Garystr. 21, Berlin, 14195, Berlin, Germany

    Hans-Joachim Lenz

  2. LS für Quantitative Methoden,, insbesondere Statistik, Europa-Universität Viadrina, Grosse Scharrnstr. 59, Frankfurt/Oder, 15230, Brandenburg, Germany

    Wolfgang Schmid

  3. , Inst. Statistik und Ökonometrie, Freie Universität Berlin, Garystr. 21, Berlin, 14195, Berlin, Germany

    Peter-Theodor Wilrich

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© 2012 Springer-Verlag Berlin Heidelberg

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Mastrangelo, C.M., Gillan, A.M. (2012). Monitoring Hospital-Associated Infections with Control Charts. In: Lenz, HJ., Schmid, W., Wilrich, PT. (eds) Frontiers in Statistical Quality Control 10. Frontiers in Statistical Quality Control, vol 10. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-2846-7_12

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