Accuracy of hospital discharge coding data for the surveillance of drain-related meningitis

Infect Control Hosp Epidemiol. 2013 Apr;34(4):433-6. doi: 10.1086/669867. Epub 2013 Feb 15.

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

  • Evaluation Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cohort Studies
  • Cross Infection / diagnosis*
  • Cross Infection / epidemiology
  • Cross Infection / etiology
  • Cross Infection / prevention & control
  • Decision Support Techniques*
  • Drainage / adverse effects*
  • Drainage / instrumentation
  • Humans
  • Infection Control / methods*
  • Meningitis / diagnosis*
  • Meningitis / epidemiology
  • Meningitis / etiology
  • Meningitis / prevention & control
  • Multivariate Analysis
  • Patient Discharge*
  • Retrospective Studies
  • Sensitivity and Specificity