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Distribution of Central Line-Associated Bloodstream Infections Determined From Washington State’s Annual Reporting Validation Program, 2009–2013

  • Jason M. Lempp (a1), M. Jeanne Cummings (a1) and David W. Birnbaum (a2)
Abstract

Healthcare-associated infection reporting validation is essential because this information is increasingly used in public healthcare quality assurances and care reimbursement. Washington State’s validation of central line-associated bloodstream infection reporting applies credible quality sciences methods to ensure that hospital reporting accuracy is maintained. This paper details findings and costs from our experience.

Infect Control Hosp Epidemiol 2017;38:489–492

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Corresponding author
Address correspondence to Jason M. Lempp, PO Box 33400, 10700 Meridian Ave N, Suite 100, Seattle, WA 98133 (JasonL@QualisHealth.org).
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PREVIOUS PRESENTATIONS: These findings were previously reported by J.M.L., M.J.C., and D.W.B. as a poster titled “Distribution of Central Line-Associated Bloodstream Infections Determined from Washington State’s Annual Reporting Validation Program, 2009–2013” at the Council of State and Territorial Epidemiologists (CSTE) Annual Conference in Nashville, Tennessee, on June 23, 2014, and by J.M.L., M.J.C., D.W.B., and P.G. Lovinger as a poster titled “Cost of a Sustainable Annual Validation Process to Ensure Credibility of State HAI Reporting” at the Council of State and Territorial Epidemiologists (CSTE) Annual Conference in Nashville, Tennessee, on June 23, 2014.

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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

1. TR Talbot , DW Bratzler , RM Carrico , et al. Public reporting of health care-associated surveillance data: recommendations from the Healthcare Infection Control Practices Advisory Committee. Ann Intern Med 2013;159:631635.

2. JA Fortuna , WA Brenneman , D Birnbaum , KL Brown . The current state of validating the accuracy of clinical data reporting: lessons to be learned from quality and process improvement scientists. Infect Control Hosp Epidemiol 2013;34:611614.

5. C Stephen . Capture-recapture methods in epidemiological studies. Infect Control Hosp Epidemiol 1996;17:262266.

8. JY Oh , MC Cunningham , ZG Beldavs , et al. Statewide validation of hospital-reported central line-associated bloodstream infections: Oregon, 2009. Infect Control Hosp Epidemiol 2012;33:439445.

9. LA Backman , R Melchreit , R Rodriguez . Validation of the surveillance and reporting of central line-associated bloodstream infection data to a state health department. Am J Infect Control 2014;42:2833.

10. KL Rich , SM Reese , KA Bol , et al. Assessment of the quality of publicly reported central line-associated bloodstream infection data in Colorado, 2010. Am J Infect Control 2013;41:874879.

12. AJ Kallen , PR Patel , NP O’Grady . Preventing catheter-related bloodstream infections outside the intensive care unit: expanding prevention to new settings. Clin Infect Dis 2010;51:335341.

13. M Climo , D Diekema , DK Warren , et al. Prevalence of the use of central venous access devices within and outside of the intensive care unit: results of a survey among hospitals in the prevention epicenter program of the Centers for Disease Control and Prevention. Infect Control Hosp Epidemiol 2003;24:942945.

14. DJ Weber , EE Sickbert-Bennett , V Brown , WA Rutala . Comparison of hospitalwide surveillance and targeted intensive care unit surveillance of healthcare-associated infections. Infect Control Hosp Epidemiol 2007;28:13611366.

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Infection Control & Hospital Epidemiology
  • ISSN: 0899-823X
  • EISSN: 1559-6834
  • URL: /core/journals/infection-control-and-hospital-epidemiology
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