title: Accuracy of hospital discharge coding data for the surveillance of drain-related meningitis.
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.
authors: Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands. m.s.m.vanmourik-2@umcutrecht.nl
authors: Maaike S M
authors: MS
authors: van Mourik
authors: Annet
authors: A
authors: Troelstra
authors: Karel G M
authors: KG
authors: Moons
authors: Marc J M
authors: MJ
authors: Bonten
mesh_terms: D015331:Cohort Studies; D003428:Cross Infection / Q000175:diagnosis* / Q000453:epidemiology / Q000209:etiology / Q000517:prevention & control; D003661:Decision Support Techniques; D004322:Drainage / Q000009:adverse effects* / Q000295:instrumentation; D006801:Humans; D017053:Infection Control / Q000379:methods*; D008581:Meningitis / Q000175:diagnosis* / Q000453:epidemiology / Q000209:etiology / Q000517:prevention & control; D015999:Multivariate Analysis; D010351:Patient Discharge; D012189:Retrospective Studies; D012680:Sensitivity and Specificity