title: International Nosocomial Infection Control Consortium (INICC) resources: INICC multidimensional approach and INICC surveillance online system.
abstract: The International Nosocomial Infection Control Consortium (INICC) is an international, nonprofit, multicentric health care-associated infection (HAI) cohort surveillance network with a methodology based on the U.S. Centers for Disease Control and Prevention's National Healthcare Safety Network (CDC-NHSN). The INICC was founded in 1998 to promote evidence-based infection control in limited-resource countries through the analysis of surveillance data collected by their affiliated hospitals. The INICC is comprised of >3,000-affiliated infection control professionals from 1,000 hospitals in 67 countries and is the only source of aggregate standardized international data on HAI epidemiology. Having published reports on device-associated (DA) HAI (HAI) and surgical site infections (SSIs) from 43 countries and several reports per individual country, the INICC showed DA HAI and SSI rates in limited-resources countries are 3-5 times higher than in high-income countries.
  
  
  
  The INICC developed the INICC Multidimensional Approach (IMA) for HAI prevention with 6 components, bundles with 7-13 elements, and the INICC Surveillance Online System (ISOS) with 15 modules.
  
  
  
  In this article the IMA, the ISOS for outcome surveillance of HAIs and process surveillance of bundles to prevent HAIs, and the use of surveillance data feedback are described.
  
  
  
  Remarkable features of the IMA and ISOS are INICC's applying of the latest published CDC-NHSN HAI definitions, including their updates and revisions in 2008, 2013, 2015 and 2016; INICC's informatics system to check accuracy of fulfillment of CDC-NHSN HAI criteria; and INICC's system to check compliance with each bundle element.
authors.affiliation: International Nosocomial Infection Control Consortium, Buenos Aires, Argentina. Electronic address: victor_rosenthal@inicc.org.
authors.forename: Victor Daniel
authors.initials: VD
authors.lastname: Rosenthal
mesh_terms: D003428:Cross Infection / Q000453:epidemiology* / Q000517:prevention & control*; D062665:Epidemiological Monitoring; D006801:Humans; D017053:Infection Control / Q000379:methods*; D009862:Online Systems; D014481:United States / Q000453:epidemiology
keywords: antibiotic resistance; catheter-associated urinary tract infection; central line–associated bloodstream infections; device-associated infection; health care–associated infection; limited-resources countries; low-income countries; network; nosocomial infection; ventilator-associated pneumonia