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Valuation of Hospital Bed-Days Released by Infection Control Programs: A Comparison of Methods

Published online by Cambridge University Press:  10 May 2016

Andrew J. Stewardson ,
Stephan Harbarth ,
Nicholas Graves  and
on behalf of the TIMBER Study Group
Andrew J. Stewardson*
Affiliation:
Infection Control Program, University of Geneva Hospitals and Faculty of Medicine, Geneva, Switzerland Department of Medicine, University of Melbourne, Melbourne, Victoria, Australia
Stephan Harbarth
Affiliation:
Infection Control Program, University of Geneva Hospitals and Faculty of Medicine, Geneva, Switzerland
Nicholas Graves
Affiliation:
Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
on behalf of the TIMBER Study Group
Affiliation:
Members of the study group are listed at the end of the text
*
Infection Control Program, University of Geneva Hospitals and Faculty of Medicine, 4 Rue Gabrielle-Perret-Gentil, 1211 Geneva 14, Switzerland (andrew.stew@rdson.net).
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Abstract

We performed a contingent valuation survey to elicit the opportunity cost of bed-days consumed by healthcare-associated infections in 11 European hospitals. The opportunity cost of a bed-day was significantly lower than the accounting cost; median values were €72 and €929, respectively (P < .001). Accounting methods overestimate the opportunity cost of bed-days.

Infect Control Hosp Epidemiol 2014;35(10):1294–1297

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 35 , Issue 10 , October 2014 , pp. 1294 - 1297
Copyright
© 2014 by The Society for Healthcare Epidemiology of America. All rights reserved.

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References

1. Graves, N, Harbarth, 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;50:1017–1021.Google Scholar
2. Beyersmann, J, Wolkewitz, M, Allignol, A, Grambauer, N, Schumacher, M. Application of multistate models in hospital epidemiology: advances and challenges. Biom J 2011;53(2):332–350.Google Scholar
3. Finkler, SA. The distinction between cost and charges. Ann Intern Med 1982;96(1):102–109.Google Scholar
4. Roberts, RR, Frutos, PW, Ciavarella, GG, et al. Distribution of variable vs fixed costs of hospital care. JAMA 1999;281(7):644–649.Google Scholar
5. Graves, N. Economics and preventing hospital-acquired infection. Emerg Infect Dis 2004;10:561–566.Google Scholar
6. Breidert, C, Hahsler, M, Reutterer, T. A review of methods for measuring willingness-to-pay. Innov Mark 2006;2:8–32.Google Scholar
7. Scott, RD, Solomon, SL, McGowan, JE. Applying economic principles to health care. Emerg Infect Dis 2001;7:282–285.Google Scholar
8. Page, K, Graves, N, Halton, K, Barnett, AG. Humans, ‘things’ and space: costing hospital infection control interventions. J Hosp Infect 2013;84:200–205.CrossRefGoogle ScholarPubMed
9. World Health Organization. Choosing interventions that are cost effective. Country-specific unit costs. http://www.who.int/choice/country/country_specific/en/index.html. Accessed October 9, 2013.Google Scholar
10. Hollander, M, Wolfe, DA. Nonparametric Statistical Methods. 2nd ed. New York: Wiley, 1999.Google Scholar