Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-23T03:46:18.567Z Has data issue: false hasContentIssue false
  • English
  • Français

The Importance of Case-Mix Adjustment for Infection Rates and the Need for More Research

Published online by Cambridge University Press:  02 January 2015

Anthony D. Harris  and
Jessina C. McGregor
Anthony D. Harris
Affiliation:
Department of Epidemiology and Preventive Medicine, University of Maryland, Baltimore, Maryland
Jessina C. McGregor
Affiliation:
Oregon State University College of Pharmacy, Portland, Oregon
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Commentary
Information
Infection Control & Hospital Epidemiology , Volume 29 , Issue 8 , August 2008 , pp. 693 - 694
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Association for Professionals in Infection Control and Epidemiology. Mandatory reporting of healthcare performance measures. Available at: http://www.apic.org/AM/Template.cfm?Section=Mandatory_Reporting. Accessed July 3, 2003.Google Scholar
2.Nosocomial infection rates for interhospital comparison: limitations and possible solutions. A Report from the National Nosocomial Infections Surveillance (NNIS) System. Infect Control Hosp Epidemiol 1991;12:609–621.Google Scholar
3.Wong, ES, Rupp, ME, Mermel, L, et al.Public disclosure of healthcare-associated infections: the role of the Society for Healthcare Epidemiology of America. Infect Control Hosp Epidemiol 2005;26:210–212.CrossRefGoogle ScholarPubMed
4.McGregor, JC, Perencevich, EN, Furuno, JP, et al.Comorbidity risk-adjustment measures were developed and validated for studies of antibiotic-resistant infections. J Clin Epidemiol 2006;59:1266–1273.CrossRefGoogle ScholarPubMed
5.Fine, MJ, Auble, TE, Yealy, DM, et al.A prediction rule to identify low-risk patients with community-acquired pneumonia. N Engl J Med 1997;336:243–250.CrossRefGoogle ScholarPubMed
6.Kritsotakis, EI, Dimitriadis, I, Roumbelaki, M, et al.Case-mix adjustment approach to benchmarking prevalence rates of nosocomial infection in hospitals in Cyprus and Greece. Infect Control Hosp Epidemiol 2008;29:685–692 (in this issue).CrossRefGoogle ScholarPubMed
7.Krumholz, HM, Wang, Y, Mattera, JA, et al.An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with an acute myocardial infarction. Circulation 2006;113:1683–1692.CrossRefGoogle ScholarPubMed
8.Krumholz, HM, Wang, Y, Mattera, JA, et al.An administrative claims model suitable for profiling hospital performance based on 30-day mortality rates among patients with heart failure. Circulation 2006;113:1693–1701.CrossRefGoogle ScholarPubMed