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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 (mcgregoj@ohsu.edu)
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Abstract

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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

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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