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Nosokomiale Infektionsraten: Messen und Vergleichen

Erfahrungen mit dem Krankenhaus-Infektions-Surveillance-System (KISS) und anderen Surveillance-Systemen

Healthcare-associated infection rates: measuring and comparing

Experiences from the German national nosocomial infection surveillance system (KISS) and from other surveillance systems

  • Leitthema
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Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz Aims and scope

Zusammenfassung

Die Surveillance der nosokomialen Infektionen ist inzwischen ein Grundpfeiler der Infektionspräventionsmaßnahmen im Krankenhaus. Ziel des vorliegenden Beitrages ist der Vergleich der Surveillance-Daten zu nosokomialen Infektionen auf Intensivstationen, neonatologischen Intensivstationen und bei operierten Patienten (ITS-KISS, NEO-KISS, OP-KISS) aus dem Krankenhaus-Infektions-Surveillance-System (KISS) mit den korrespondierenden Daten des US-amerikanischen NHSN (National Healthcare Safety Network) und des ECDC (European Centre for Disease Prevention and Control). Insgesamt sind die methodischen Unterschiede zwischen den Surveillance-Systemen eher gering, dennoch gibt es welche. Deshalb müssen die zwischen den Ländern beobachteten Differenzen bei den Infektionsraten sehr sorgfältig interpretiert werden; sie können aus Unterschieden bei der Diagnostik, der Patientenzusammensetzung, bei den medizinischen Interventionen, der Aufenthaltsdauer der Patienten im Krankenhaus, der Auswahl der beteiligten Krankenhäuser, bei der Patientennachverfolgung und der Interpretation der Definitionen resultieren. Auch organisatorische Aspekte wie eine Veröffentlichungspflicht der Infektionsraten können Einfluss haben.

Abstract

Surveillance of nosocomial infections is meanwhile a cornerstone of infection prevention activities in hospitals. The objective of this article is to compare healthcare-associated infection rates in intensive care patients, neonatal intensive care patients and operated patients (ICU-KISS, OP-KISS, NEO-KISS) of the German nosocomial infection surveillance system (KISS) with the corresponding data of the US American National Healthcare Safety Network (NHSN) and the European Centre for Disease Prevention and Control (ECDC). In general, the methodological differences among the three surveillance systems are minor but there are some exceptions. Therefore, differences between countries have to be interpreted very carefully as they may be due to differences in diagnostics, patient mix, types of interventions, length of stay, selection of participating hospitals, post-discharge surveillance activities and interpretation of case definitions. Organizational aspects, such as mandatory participation with public disclosure on infection rates may also have an impact.

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Literatur

  1. Gastmeier P, Sohr D, Schwab F et al (2008) Ten years of KISS: the most important requirements for success. J Hosp Infect 70(Suppl 1):11–16

    Article  PubMed  Google Scholar 

  2. Brandt C, Sohr D, Behnke M et al (2006) Reduction of surgical site infection rates with the help of benchmark data. Infect Control Hosp Epidemiol 27:1347–1351

    Article  PubMed  CAS  Google Scholar 

  3. Zuschneid I, Schwab F, Geffers C et al (2003) Reduction of central venous catheter associated bloodstream infection through surveilance. Infect Control Hosp Epidemiol 24:501–505

    Article  PubMed  Google Scholar 

  4. Zuschneid I, Schwab F, Geffers C et al (2007) Trends in ventilator-associated pneumonia rates within the German nosocomial infection surveillance system (KISS). Infect Control Hosp Epidemiol 28:314–318

    Article  PubMed  CAS  Google Scholar 

  5. Gastmeier P, Schwab F, Sohr D et al (2009) Reproducibility of the surveillance effect to decrease nosocomal infection rates. Infect Control Hosp Epidemiol 30:993–999

    Article  PubMed  CAS  Google Scholar 

  6. Schwab F, Geffers C, Bärwolff S et al (2007) Reducing neonatal nosocomial bloodstream infections through participation in a national surveillance system. J Hosp Infect 65:319–325

    Article  PubMed  CAS  Google Scholar 

  7. Emori TG, Culver DH, Horan TC et al (1991) National Nosocomial Infection Surveillance System (NNIS): description of surveillance methodology. Am J Infect Control 19:19–35

    Article  PubMed  CAS  Google Scholar 

  8. Sartor C, Edwards JR, Gaynes RP, Culver DH (1995) NNIS-System: evalution of hospital acquired participation in the National Nosocomial Infections Surveillance System. Am J Infect Control 23:364–368

    Article  PubMed  CAS  Google Scholar 

  9. Tokars J, Richards C, Andrus M et al (2004)The changing face of surveillance for healthcare-associated infections. Clin Infect Dis 39:1347–1352

    Article  PubMed  Google Scholar 

  10. Pronovost P, Needham D, Berenholtz S et al (2006) An intervention to decrease catheter-related bloodstream infections in the ICU. N Engl J Med 355:2725–2732

    Article  PubMed  CAS  Google Scholar 

  11. Pronovost P, Goeschel C, Colantuoni E et al (2010) Sustaining reductions in catheter related bloodstream infections in Michigan intensive care units: observational study. BMJ 340:c309

    Article  PubMed  Google Scholar 

  12. Berenholtz S, Pham J, Thompson D et al (2011) Collaborative cohort study of an intervention to reduce ventilator-associated pneumonia in the intensive care unit. Infect Control Hosp Epidemiol 32:305–314

    Article  PubMed  Google Scholar 

  13. Nationales Referenzzentrum für die Surveillance von nosokomialen Infektionen. http://www.nrz-hygiene.de

  14. Edwards J, Peterson K, Andrus M et al (2007) National Healthcare safety Network (NHSN) report, data summary for 2006, issued June 2007. Am J Infect Control 35:290–301

    Article  PubMed  Google Scholar 

  15. Dudeck M, Horan T, Peterson K et al (2011) National Healthcare Safety Network (NHSN) report, data summary for 2010, device-associated module. Am J Infect Control 39:798–816

    Article  PubMed  Google Scholar 

  16. Suetens C, Savey A, Labeeuw J et al (2002) The ICU-HELICS programme: towards European surveillance of hospital-acquired infections in intensive care units. Euro Surveill 7:127–128

    PubMed  CAS  Google Scholar 

  17. Wilson J, Ramboer I, Suetens C (2007) Hospitals in Europe Link for Infection Control through Surveillance (HELICS). J Hosp Infect 65:165–170

    Article  PubMed  Google Scholar 

  18. Anonym: EARS Net results 2010. http://www.ecdc.eu

  19. Gastmeier P, Schwab F, Behnke M, Geffers C (2011) Wenige Blukulturproben – wenige Infektionen? Anaesthesist 60:902–907

    Article  PubMed  CAS  Google Scholar 

  20. Hansen S, Schwab F, Behnke M et al (2009) National influences on catheter-associated bloodstream infection rates: practices among national surveillance networks participating in the European HELICS project. J Hosp Infect 71:66–73

    Article  PubMed  CAS  Google Scholar 

  21. Anonym (2011) ECDC Report surveillance of surgical site infections. http://www.ecdc.eu

  22. Edwards J, Peterson K, Banerjee S et al (2009) National Healthcare Safety Network (NHSN) report: data summary for 2006 through 2008, issued December 2009. Am J Infect Control 37:783–805

    Article  PubMed  Google Scholar 

  23. Gastmeier P, Geffers C, Schwab F et al (2004) Development of a surveillance system for nosocomial infections: the component for neonatal intensive care units in Germany as an example. J Hosp Infect 57:126–131

    Article  PubMed  CAS  Google Scholar 

  24. Gastmeier P, Hentschel J, De Veer I et al (1998): Device-associated nosocomial infection surveillance in neonatal intensive care using specified criteria for neonates. J Hosp Infect 38:51–60

    Article  PubMed  CAS  Google Scholar 

  25. Dettenkofer M, Wenzler-Röttele S, Babikir R et al (2005) Surveillance of nosocomial sepsis and pneumonia in patiente with a bone marrow or peripheral blood stem cell transplant: a multicenter project. Clin Infect Dis 40:926–931

    Article  PubMed  CAS  Google Scholar 

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Gastmeier, P., Behnke, M., Breier, AC. et al. Nosokomiale Infektionsraten: Messen und Vergleichen. Bundesgesundheitsbl. 55, 1363–1369 (2012). https://doi.org/10.1007/s00103-012-1551-y

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  • DOI: https://doi.org/10.1007/s00103-012-1551-y

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