Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-19T10:23:27.551Z Has data issue: false hasContentIssue false
  • English
  • Français

The Need for Advancements in the Field of Risk Adjustment for Healthcare-Associated Infections

Published online by Cambridge University Press:  10 May 2016

Jessina C. McGregor  and
Anthony D. Harris
Jessina C. McGregor*
Affiliation:
Department of Pharmacy Practice, College of Pharmacy, Oregon State University/Oregon Health and Science University, Portland, Oregon
Anthony D. Harris
Affiliation:
Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Maryland
*
Department of Pharmacy Practice, OSU/OHSU College of Pharmacy, 3303 Southwest Bond Avenue, CH12C, Portland, OR 97239 ([email protected])
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 35 , Issue 1 , January 2014 , pp. 8 - 9
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2014

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. Haley, VB, DiRienzo, AG, Lutterloh, EC, Stricof, RL. Quantifying sources of bias in National Healthcare Safety Network laboratory-identified Clostridium difficile infection rates. Infect Control Hosp Epidemiol 2014;35(1):1–7 (in this issue).CrossRefGoogle ScholarPubMed
2. lezzoni, LI, ed. Risk Adjustment for Measuring Healthcare Outcomes. 2nd ed. Chicago: Health Administration Press, 1997.Google Scholar
3. Grover, FL, Shroyer, AL, Hammermeister, K, et al. A decade's experience with quality improvement in cardiac surgery using the Veterans Affairs and Society of Thoracic Surgeons national databases. Ann Surg 2001;234(4):464–472.CrossRefGoogle ScholarPubMed
4. O'Brien, SM, Shahian, DM, Filardo, G, et al. The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 2— isolated valve surgery. Ann Thorac Surg 2009;88(suppl 1):S23–S42.Google Scholar
5. Shahian, DM, Edwards, FH. The Society of Thoracic Surgeons 2008 cardiac surgery risk models: introduction. Ann Thorac Surg 2009;88(suppl 1):S1.CrossRefGoogle Scholar
6. Shahian, DM, Hutter, MM, Torchiana, DF, lezzoni, LI. Transparency: a mandatory requirement for risk models. J Am Coll Surg 2008;206(3): 1240–1242.CrossRefGoogle ScholarPubMed
7. Shahian, DM, O'Brien, SM, Filardo, G, et al. The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 3—valve plus coronary artery bypass grafting surgery. Ann Thorac Surg 2009;88(suppl 1):S43–S62.Google Scholar
8. Shahian, DM, O'Brien, SM, Filardo, G, et al. The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 1— coronary artery bypass grafting surgery. Ann Thorac Surg 2009; 88(suppl 1):S2–S22.Google Scholar
9. Moehring, RW, Anderson, DJ. “But my patients are different!”: risk adjustment in 2012 and beyond. Infect Control Hosp Epidemiol 2011;32(10):987–989.Google Scholar
10. Sexton, DJ, Chen, LF, Moehring, R, Thacker, PA, Anderson, DJ. Casablanca redux: we are shocked that public reporting of rates of central line-associated bloodstream infections are inaccurate. Infect Control Hosp Epidemiol 2012;33(9):932–935.Google Scholar
11. Fraser, TG, Gordon, SM. CLABSI rates in immunocompromised patients: a valuable patient centered outcome? Clin Infect Dis 2011;52(12):1446–1450.CrossRefGoogle ScholarPubMed