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Internal and External Validation of a Computer-Assisted Surveillance System for Hospital-Acquired Infections in a 754-Bed General Hospital in the Netherlands

Published online by Cambridge University Press:  04 August 2016

H. Roel A. Streefkerk*
Affiliation:
Erasmus University Medical Center (Erasmus MC), Rotterdam, Netherlands Albert Schweitzer Hospital/Regionaal Laboratorium medische Microbiologie, Dordrecht, Netherlands
Ivar O. Lede
Affiliation:
Ziekenhuisgroep Twente, Almelo/Hengelo, Netherlands LabMicTA, Hengelo, Netherlands Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
John L. V. Eriksson
Affiliation:
Erasmus University Medical Center (Erasmus MC), Rotterdam, Netherlands Katholieke Universiteit Leuven, Belgium
Marije G. Meijling
Affiliation:
Ziekenhuisgroep Twente, Almelo/Hengelo, Netherlands
Conrad P. van der Hoeven
Affiliation:
Erasmus University Medical Center (Erasmus MC), Rotterdam, Netherlands
Jan C. Wille
Affiliation:
National Institute for Public Health and the Environment, Center for Infectious Disease Control Bilthoven, Netherlands
Titia E. M. Hopmans
Affiliation:
National Institute for Public Health and the Environment, Center for Infectious Disease Control Bilthoven, Netherlands
Alex W. Friedrich
Affiliation:
Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
Henri A. Verbrugh
Affiliation:
Erasmus University Medical Center (Erasmus MC), Rotterdam, Netherlands
Nashwan al Naiemi
Affiliation:
Ziekenhuisgroep Twente, Almelo/Hengelo, Netherlands LabMicTA, Hengelo, Netherlands Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
*
Address correspondence to H.R.A. Streefkerk, Albert Schweitzerplaats 25, 3318 AT Dordrecht, the Netherlands, P.O. Box 899, 3300 AW Dordrecht, Netherlands (r.streefkerk@rlm-microbiologie.nl).

Abstract

OBJECTIVE

To evaluate a computer-assisted point-prevalence survey (CAPPS) for hospital-acquired infections (HAIs).

DESIGN

Validation cohort.

SETTING

A 754-bed teaching hospital in the Netherlands.

METHODS

For the internal validation of a CAPPS for HAIs, 2,526 patients were included. All patient records were retrospectively reviewed in depth by 2 infection control practitioners (ICPs) to determine which patients had suffered an HAI. Preventie van Ziekenhuisinfecties door Surveillance (PREZIES) criteria were used. Following this internal validation, 13 consecutive CAPPS were performed in a prospective study from January to March 2013 to determine weekly, monthly, and quarterly HAI point prevalence. Finally, a CAPPS was externally validated by PREZIES (Rijksinstituut voor Volksgezondheid en Milieu [RIVM], Bilthoven, Netherlands). In all evaluations, discrepancies were resolved by consensus.

RESULTS

In our series of CAPPS, 83% of the patients were automatically excluded from detailed review by the ICP. The sensitivity of the method was 91%. The time spent per hospital-wide CAPPS was ~3 hours. External validation showed a negative predictive value of 99.1% for CAPPS.

CONCLUSIONS

CAPPS proved to be a sensitive, accurate, and efficient method to determine serial weekly point-prevalence HAI rates in our hospital.

Infect Control Hosp Epidemiol 2016;1–6

Type
Original Articles
Copyright
© 2016 by The Society for Healthcare Epidemiology of America. All rights reserved 

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Footnotes

a

These authors contributed equally to this manuscript.

References

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