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Assessing the Relative Burden of Hospital-Acquired Infections in a Network of Community Hospitals

Part of: BARRY FARR AWARD RECIPIENTS

Published online by Cambridge University Press:  02 January 2015

Sarah S. Lewis ,
Rebekah W. Moehring ,
Luke F. Chen ,
Daniel J. Sexton  and
Deverick J. Anderson
Sarah S. Lewis*
Affiliation:
Department of Medicine, Division of Infectious Diseases, Duke University Medical Center, Durham, North Carolina Duke Infection Control Outreach Network, Durham, North Carolina
Rebekah W. Moehring
Affiliation:
Department of Medicine, Division of Infectious Diseases, Duke University Medical Center, Durham, North Carolina Duke Infection Control Outreach Network, Durham, North Carolina
Luke F. Chen
Affiliation:
Department of Medicine, Division of Infectious Diseases, Duke University Medical Center, Durham, North Carolina Duke Infection Control Outreach Network, Durham, North Carolina
Daniel J. Sexton
Affiliation:
Department of Medicine, Division of Infectious Diseases, Duke University Medical Center, Durham, North Carolina Duke Infection Control Outreach Network, Durham, North Carolina
Deverick J. Anderson
Affiliation:
Department of Medicine, Division of Infectious Diseases, Duke University Medical Center, Durham, North Carolina Duke Infection Control Outreach Network, Durham, North Carolina
*
PO Box 102359, Department of Medicine, Division of Infectious Diseases, Duke University Medical Center, Durham, NC 27710 (sarah.stamps@duke.edu)
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Extract

Hospital-acquired infections (HAIs) occur commonly, cause significant harm to patients, and result in excess healthcare expenditures. The urinary tract is frequently cited as the most common site of HAI, but these estimates were extrapolated from National Nosocomial Infection Surveillance (NNIS) data from the 1990s. Updated information regarding the relative burden of specific types of HAIs would help governmental agencies and other stakeholders within the field of infection prevention to prioritize areas for research and innovation. The objective of our study was to assess the relative proportion of HAIs attributed to each of the following 5 types of infection in a network of community hospitals: catheter-associated urinary tract infection (CAUTI), surgical site infection (SSI), ventilator-associated pneumonia (VAP), central line–associated bloodstream infection (CLABSI), and Clostridium difficile infection (CDI).

We performed a retrospective cohort study using prospectively collected HAI surveillance data from hospitals participating in the Duke Infection Control Outreach Network (DICON). DICON hospital epidemiologists and liaison infection preventionists work directly with local hospital infection preventionists to provide surveillance data validation, benchmarking, and infection prevention consultation services to participating hospitals.

Type
Research Briefs
Information
Infection Control & Hospital Epidemiology , Volume 34 , Issue 11 , November 2013 , pp. 1229 - 1230
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2013

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References

1.Klevens, RM, Edwards, JR, Richards, CL Jr, et al. Estimating health care-associated infections and deaths in U.S. hospitals, 2002. Public Health Rep 2007;122(2):160–166.CrossRefGoogle ScholarPubMed
2.Anderson, DJ, Miller, BA, Chen, LF, et al. The network approach for prevention of healthcare-associated infections: long-term effect of participation in the Duke Infection Control Outreach Network. Infect Control Hosp Epidemiol 2011;32(4):315–322.CrossRefGoogle Scholar
3.Horan, TC, Andrus, M, Dudeck, MA. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control 2008;36(5):309–332.CrossRefGoogle ScholarPubMed
4.McDonald, LC, Coignard, B, Dubberke, E, et al. Recommendations for surveillance of Clostridium difficile-associated disease. Infect Control Hosp Epidemiol 2007;28(2):140–145.CrossRefGoogle ScholarPubMed
5.Dudeck, MA, Horan, TC, Peterson, KD, et al. National Healthcare Safety Network (NHSN) Report, data summary for 2010, device-associated module. Am J Infect Control 2011;39(10):798–816.Google Scholar
6.Weber, DJ, Sickbert-Bennett, EE, Brown, V, Rutala, WA. Completeness of surveillance data reported by the National Healthcare Safety Network: an analysis of healthcare-associated infections ascertained in a tertiary care hospital, 2010. Infect Control Hosp Epidemiol 2012;33(1):94–96.Google Scholar
7.Magill, SS, Hellinger, W, Cohen, J, et al. Prevalence of healthcare-associated infections in acute care hospitals in Jacksonville, Florida. Infect Control Hosp Epidemiol 2012;33(3):283–291.Google Scholar
8.Daneman, N, Lu, H, Redelmeier, DA. Discharge after discharge: predicting surgical site infections after patients leave hospital. J Hosp Infect 2010;75(3):188–194.CrossRefGoogle ScholarPubMed