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Accuracy of Hospital Discharge Coding Data for the Surveillance of Drain-Related Meningitis

  • Maaike S. M. van Mourik (a1), Annet Troelstra (a1), Karel G. M. Moons (a2) and Marc J. M. Bonten (a1) (a2)


Surveillance of healthcare-associated infections is labor intensive and complex. Discharge coding is an accessible source of information that may support detection of cases. For drain-related meningitis, however, discharge coding data had low sensitivity (32%) and positive predictive value (35%) and could neither replace nor improve existing complex surveillance systems.


Corresponding author

Department of Medical Microbiology, HP G04.614, PO Box 85500, 3508 GA Utrecht, Netherlands (


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