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Casablanca Redux: We Are Shocked That Public Reporting of Rates of Central Line–Associated Bloodstream Infections Are Inaccurate

Published online by Cambridge University Press:  02 January 2015

Daniel J. Sexton*
Affiliation:
Duke Infection Control Outreach Network and the Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, North Carolina
Luke F. Chen
Affiliation:
Duke Infection Control Outreach Network and the Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, North Carolina
Rebekah Moehring
Affiliation:
Duke Infection Control Outreach Network and the Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, North Carolina
Paul A. Thacker
Affiliation:
Duke Infection Control Outreach Network and the Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, North Carolina
Deverick J. Anderson
Affiliation:
Duke Infection Control Outreach Network and the Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, North Carolina
*
DUMC 102359, Durham, NC 27710 ([email protected])

Abstract

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Type
Commentary
Copyright
Copyright © The Society for Healthcare Epidemiology of America 2012 

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References

1. Curtiz, M. Casablanca. Warner Brothers, 1942:102.Google Scholar
2. Haut, ER, Pronovost, PJ. Surveillance bias in outcomes reporting. JAMA 2011;305(23):24622463.Google Scholar
3. Lin, MY, Hota, B, Khan, YM, et al. Quality of traditional surveillance for public reporting of nosocomial bloodstream infection rates. JAMA 2010;304(18):20352041.Google Scholar
4. Perencevich, EN. Excess shock and mortality in Staphylococcus aureus related to methicillin resistance. Clin Infect Dis 2000;31(5):1311.10.1086/317433Google Scholar
5. American College of Surgeons. Join Leading Hospitals in CMS National Surgical Quality Pilot, http://www.facs.org/hospitalcompare/. Accessed February 20, 2012.Google Scholar
6. Centers for Disease Control and Prevention. CDC's National Healthcare Safety Network (NHSN) Healthcare-associated Infections Summary Data Reports Q and A. http://www.cdc.gov/HAI/surveillance/QA_stateSummary.html. Accessed April 19, 2012.Google Scholar
7. Render, ML, Hasselbeck, R, Freyberg, RW, Hofer, TP, Sales, AE, Almenoff, PL. Reduction of central line infections in Veterans Administration intensive care units: an observational cohort using a central infrastructure to support learning and improvement. BMJ Qual Sal 2011;20(8):725732.Google Scholar
8. McKee, C, Berkowitz, I, Cosgrove, SE, et al. Reduction of catheter-associated bloodstream infections in pediatric patients: experimentation and reality. Pediatr Crit Care Med 2008;9(1):4046.10.1097/01.PCC.0000299821.46193.A3Google Scholar
9. Berhe, M, Edmond, MB, Bearman, G. Measurement and feedback of infection control process measures in the intensive care unit: impact on compliance. Am J Infect Control 2006;34(8):537539.Google Scholar
10. Anderson, DJ, Miller, BA, Chen, LF, et al. The network approach for prevention of healthcare-associated infections: long-term effect of participation in the Duke Infection Control Outreach Network. Infect Control Hosp Epidemiol 2011;32(4):315322.Google Scholar
11. Sexton, DJ, Chen, LF, Anderson, DJ. Current definitions of central line-associated bloodstream infection: is the emperor wearing clothes? Infect Control Hosp Epidemiol 2010;31(12):12861289.Google Scholar
12. Fraser, TG, Gordon, SM. CLABSI rates in immunocompromised patients: a valuable patient centered outcome? Clin Infect Dis 2011;52(12):14461450.Google Scholar
13. White, JT, Fraimow, H. Consistency versus accuracy in reporting central line-associated bloodstream infections. Infect Control Hosp Epidemiol 2011;32(5):519520.Google Scholar
14. Oh, JY, Cunningham, MC, Beldavs, ZG, et al. Statewide validation of hospital-reported central line-associated bloodstream infection. Oregon 2009. Infect Control Hosp Epidemiol 2012;33:439445.Google Scholar
15. Arnold, KE, Thompson, ND. Commentary: building data quality and confidence in data reported to the National Healthcare Safety Network. Infect Control Hosp Epidemiol 2012;33:446448.Google Scholar
16. Niedner, MF. The harder you look, the more you find: catheter-associated bloodstream infection surveillance variability. Am J Infect Control 2010;28(8):585595.10.1016/j.ajic.2010.04.211Google Scholar