Hostname: page-component-8448b6f56d-cfpbc Total loading time: 0 Render date: 2024-04-18T07:35:30.969Z Has data issue: false hasContentIssue false
  • English
  • Français

The Importance of Good Data, Analysis, and Interpretation for Showing the Economics of Reducing Healthcare-Associated Infection

Published online by Cambridge University Press:  02 January 2015

Nicholas Graves ,
Adrian G. Barnett ,
Kate Halton ,
Christopher Crnich ,
Ben Cooper ,
Jan Beyersmann ,
Martin Wolkewitz ,
Matthew Samore  and
Stephan Harbarth
Nicholas Graves*
Affiliation:
School of Public Health and Institute for Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
Adrian G. Barnett
Affiliation:
School of Public Health and Institute for Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
Kate Halton
Affiliation:
School of Public Health and Institute for Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
Christopher Crnich
Affiliation:
Infectious Disease Clinic, University of Wisconsin Hospital and Clinics, Madison, Wisconsin
Ben Cooper
Affiliation:
Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
Jan Beyersmann
Affiliation:
Department of Medical Biometry and Statistics, Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, Freiburg, Germany
Martin Wolkewitz
Affiliation:
Department of Medical Biometry and Statistics, Institute of Medical Biometry and Medical Informatics, University Medical Center Freiburg, Freiburg, Germany
Matthew Samore
Affiliation:
Division of Clinical Epidemiology, Biomedical Informatics, University of Utah, Salt Lake City, Utah
Stephan Harbarth
Affiliation:
Service prévention et contrôle de l’infection, Hôpitaux Universitaires de Genève, Geneva, Switzerland
*
School of Public Health and Institute for Health and Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Brisbane, QLD, 4059, Australia (n.graves@qut.edu.au)
Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Letters to the Editor
Information
Infection Control & Hospital Epidemiology , Volume 32 , Issue 9 , September 2011 , pp. 927 - 928
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2011

References

1.Umscheid, CA, Mitchell, MD, Doshi, JA, Agarwal, R, Williams, K, Brennan, PJ. Estimating the proportion of healthcare-associated infections that are reasonably preventable and the related mortality and costs. Infect Control Hosp Epidemiol 2011;32(2):101–114.CrossRefGoogle ScholarPubMed
2.Hernán, MA. A definition of causal effect for epidemiological research. J Epidemiol Community Health 2004;58(4):265–271.CrossRefGoogle ScholarPubMed
3.Gould, DJ, Moralejo, D, Drey, N, Chudleigh, JH. Interventions to improve hand hygiene compliance in patient care. Cochrane Database Syst Rev 2010;(9):CD005186.Google ScholarPubMed
4.Harris, AD, Lautenbach, E, Perencevich, E. A systematic review of quasi-experimental study designs in the fields of infection control and antibiotic resistance. Clin Infect Dis 2005;41(1):77–82.Google ScholarPubMed
5.Lin, MY, Hota, B, Khan, YM, et al.Quality of traditional surveillance for public reporting of nosocomial bloodstream infection rates. JAMA 2010;304(18):2035–2041.CrossRefGoogle ScholarPubMed
6.De Angelis, J, Beyersmann, J, Murthy, S, Harbarth, S. Estimating the impact of healthcare-associated infections on length of stay and costs. Clin Microbiol Infect 2010;16:1729–1735.CrossRefGoogle ScholarPubMed
7.Crnich, CJ. Estimating excess length of stay due to central line-associated bloodstream infection: separating the wheat from the chaff. Infect Control Hosp Epidemiol 2010;31(11):1115–1117.CrossRefGoogle ScholarPubMed
8.Barnett, AG, Beyersmann, J, Allignol, A, Rosenthal, VD, Graves, N, Wolkewitz, M. The time-dependent bias and its effect on extra length of stay due to nosocomial infection. Value Health 2011;14(2):381–386.CrossRefGoogle ScholarPubMed
9.Graves, N, Harbath, S, Beyersmann, J, Barnett, A, Halton, K, Cooper, B. Estimating the cost of health care-associated infections: mind your p's and q's. Clin Infect Dis 2010;50(7):1017–1021.CrossRefGoogle ScholarPubMed
10.Graves, N. Economics and preventing hospital-acquired infection. Emerg Infect Dis 2004;10(4):561–566.CrossRefGoogle ScholarPubMed
11.Kniesner, TJ, Viscusi, WK, Woock, C, Ziliak, JP. Pinning down the value of statistical life. IZA DP no. 3107. Published 2007. http://ftp.iza.org/dp3107.pdf. Accessed July 27, 2011.Google Scholar
12.Graves, N, McGowan, JE. Nosocomial infection, the deficit reduction act, and incentives for hospitals. JAMA 2008;300(13):1577–1579.CrossRefGoogle ScholarPubMed
13.Halton, K, Graves, N. Economics of preventing catheter-related bloodstream infection? Emerg Infect Dis 2007;13(6):815–823.CrossRefGoogle Scholar