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

Published online by Cambridge University Press:  02 January 2015

Maaike S. M. van Mourik ,
Annet Troelstra ,
Karel G. M. Moons  and
Marc J. M. Bonten
Maaike S. M. van Mourik*
Affiliation:
Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
Annet Troelstra
Affiliation:
Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
Karel G. M. Moons
Affiliation:
Julius Center for Health Science and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
Marc J. M. Bonten
Affiliation:
Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands Julius Center for Health Science and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
*
Department of Medical Microbiology, HP G04.614, PO Box 85500, 3508 GA Utrecht, Netherlands ([email protected])
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Abstract

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.

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 34 , Issue 4 , April 2013 , pp. 433 - 436
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2013

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