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

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

PLOS ONE, 2011, vol. 6, issue 8, 1-7

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

Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0022846

DOI: 10.1371/journal.pone.0022846

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