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.
Publication types
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Evaluation Study
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Research Support, Non-U.S. Gov't
MeSH terms
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Cohort Studies
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Cross Infection / diagnosis*
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Cross Infection / epidemiology
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Cross Infection / etiology
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Cross Infection / prevention & control
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Decision Support Techniques*
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Drainage / adverse effects*
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Drainage / instrumentation
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Humans
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Infection Control / methods*
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Meningitis / diagnosis*
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Meningitis / epidemiology
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Meningitis / etiology
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Meningitis / prevention & control
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Multivariate Analysis
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Patient Discharge*
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Retrospective Studies
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Sensitivity and Specificity