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Conversion of Prevalence Survey Data on Nosocomial Infections to Incidence Estimates: A Simplified Tool for Surveillance?

Published online by Cambridge University Press:  02 January 2015

Philippe Berthelot*
Affiliation:
Infection Control Unit, Infectious Diseases Department, University Hospital of Saint-Etienne, Saint-Etienne, France Laboratory of Microbiology, University Hospital of Saint-Etienne, Saint-Etienne, France
Maud Garnier
Affiliation:
Infection Control Unit, Infectious Diseases Department, University Hospital of Saint-Etienne, Saint-Etienne, France
Pascal Fascia
Affiliation:
Infection Control Unit, Infectious Diseases Department, University Hospital of Saint-Etienne, Saint-Etienne, France
Stéphane Guyomarch
Affiliation:
Intensive Care Unit, Hospital Bellevue, University Hospital of Saint-Etienne, Saint-Etienne, France
Richard Jospé
Affiliation:
Intensive Care Unit, North Hospital, University Hospital of Saint-Etienne, Saint-Etienne, France
Frédéric Lucht
Affiliation:
Infection Control Unit, Infectious Diseases Department, University Hospital of Saint-Etienne, Saint-Etienne, France
Fabrice Zéni
Affiliation:
Intensive Care Unit, Hospital Bellevue, University Hospital of Saint-Etienne, Saint-Etienne, France
Christian Auboyer
Affiliation:
Intensive Care Unit, North Hospital, University Hospital of Saint-Etienne, Saint-Etienne, France
Bruno Pozzetto
Affiliation:
Laboratory of Microbiology, University Hospital of Saint-Etienne, Saint-Etienne, France
*
Infection Control Unit, Infectious Diseases Department and Laboratory of Microbiology, Hospital Bellevue, University Hospital of Saint-Etienne, 42055 Saint-Étienne Cedex 2, France (philippe.berthelot@chu-st-etienne.fr)

Abstract

We calculated the incidence of nosocomial infection in 2 intensive care units (ICUs) on the basis of prevalence data recorded from 1997 through 2002 and compared these estimates to cumulative incidences measured in the 2 ICUs during the same period to investigate the feasibility and the reliability of converting prevalence data to incidence estimates. Decreases in the calculated and measured incidences over time in the ICUs were found to be statistically significantly related.

Type
Concise Communication
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2007

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