Epidemiological approach to nosocomial infection surveillance data: the Japanese Nosocomial Infection Surveillance System.

Environ Health Prev Med

Department of Preventive Medicine, St Marianna University School of Medicine, 2-16-1 Sugao, Miyamae-ku Kawasaki, Kanagawa, 216-8511, Japan,

Published: January 2008

AI Article Synopsis

  • Surveillance of nosocomial infections is crucial for effective infection control, requiring data to be summarized and reported to health care staff for action.
  • Using data from the Japanese Nosocomial Infection Surveillance (JANIS), the study found the incidence of nosocomial infections in ICUs and their effects on patient mortality and hospital stay.
  • The findings highlight the need for improved feedback in surveillance systems and propose methods to enhance data assessment for better infection control in Japanese hospitals.

Article Abstract

Surveillance of nosocomial infection is the foundation of infection control. Nosocomial infection surveillance data ought to be summarized, reported, and fed back to health care personnel for corrective action. Using the Japanese Nosocomial Infection Surveillance (JANIS) data, we determined the incidence of nosocomial infections in intensive care units (ICUs) of Japanese hospitals and assessed the impact of nosocomial infections on mortality and length of stay. We also elucidated individual and environmental factors associated with nosocomial infections, examined the benchmarking of infection rates and developed a practical tool for comparing infection rates with case-mix adjustment. The studies carried out to date using the JANIS data have provided valuable information on the epidemiology of nosocomial infections in Japanese ICUs, and this information will contribute to the development of evidence-based infection control programs for Japanese ICUs. We conclude that current surveillance systems provide an inadequate feedback of nosocomial infection surveillance data and, based on our results, suggest a methodology for assessing nosocomial infection surveillance data that will allow infection control professionals to maintain their surveillance systems in good working order.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2698243PMC
http://dx.doi.org/10.1007/s12199-007-0004-yDOI Listing

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