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Automated Detection of External Ventricular and Lumbar Drain-Related Meningitis Using Laboratory and Microbiology Results and Medication Data

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Listed:
  • Maaike S M van Mourik
  • Rolf H H Groenwold
  • Jan Willem Berkelbach van der Sprenkel
  • Wouter W van Solinge
  • Annet Troelstra
  • Marc J M Bonten

Abstract

Objective: Monitoring of healthcare-associated infection rates is important for infection control and hospital benchmarking. However, manual surveillance is time-consuming and susceptible to error. The aim was, therefore, to develop a prediction model to retrospectively detect drain-related meningitis (DRM), a frequently occurring nosocomial infection, using routinely collected data from a clinical data warehouse. Methods: As part of the hospital infection control program, all patients receiving an external ventricular (EVD) or lumbar drain (ELD) (2004 to 2009; n = 742) had been evaluated for the development of DRM through chart review and standardized diagnostic criteria by infection control staff; this was the reference standard. Children, patients dying

Suggested Citation

  • Maaike S M van Mourik & Rolf H H Groenwold & Jan Willem Berkelbach van der Sprenkel & Wouter W van Solinge & Annet Troelstra & Marc J M Bonten, 2011. "Automated Detection of External Ventricular and Lumbar Drain-Related Meningitis Using Laboratory and Microbiology Results and Medication Data," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-7, August.
    • Handle: RePEc:plo:pone00:0022846
    DOI: 10.1371/journal.pone.0022846
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    1. Maaike S M van Mourik & Karel G M Moons & Wouter W van Solinge & Jan-Willem Berkelbach-van der Sprenkel & Luca Regli & Annet Troelstra & Marc J M Bonten, 2012. "Automated Detection of Healthcare Associated Infections: External Validation and Updating of a Model for Surveillance of Drain-Related Meningitis," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-7, December.

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