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Prospective Validation of Central Line–Days Derived From an Electronic Medical Record System

Published online by Cambridge University Press:  08 June 2015

John M. Boyce ,
George Paci ,
Carl Feidner ,
Lori Hubbard ,
Laurie Devin ,
Lenore Reilly ,
Anthony Gentile  and
Jonathan M. Siner
John M. Boyce*
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut Yale University School of Medicine, New Haven, Connecticut.
George Paci
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut
Carl Feidner
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut
Lori Hubbard
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut
Laurie Devin
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut
Lenore Reilly
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut
Anthony Gentile
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut
Jonathan M. Siner
Affiliation:
Yale-New Haven Hospital, New Haven, Connecticut Yale University School of Medicine, New Haven, Connecticut.
*
Address correspondence to John M. Boyce, MD, Yale-New Haven Hospital, 20 York St, New Haven, CT 06510 ([email protected]).
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Abstract

Validation of the number of central line–days by hospitals is required by the National Healthcare Safety Network. A prospective study that compared a daily report of such days generated by an electronic medical record with observational audits by nurses revealed that the report was 100% sensitive and 99.9% specific.

Infect. Control Hosp. Epidemiol. 2015;36(9):1098–1099

Type
Concise Communications
Information
Infection Control & Hospital Epidemiology , Volume 36 , Issue 9 , September 2015 , pp. 1098 - 1099
Copyright
© 2015 by The Society for Healthcare Epidemiology of America. All rights reserved 

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References

REFERENCES

1. Centers for Disease Control and Prevention. National Healthcare Safety Network (NHSN) overview—2014. www.cdc.gov/nhsn/PDFs/pscManual/validation/pcsManual-2014-valid.pdf. Published 2014. Accessed January 10, 2015.Google Scholar
2. Wright, MO, Fisher, A, John, M, Reynolds, K, Peterson, LR, Robicsek, A. The electronic medical record as a tool for infection surveillance: successful automation of device-days. Am J Infect Control 2009;37:364–370.CrossRefGoogle ScholarPubMed
3. Hota, B, Harting, B, Weinstein, RA, et al. Electronic algorithmic prediction of central vascular catheter use. Infect Control Hosp Epidemiol 2010;31:4–11.Google Scholar
4. Tejedor, SC, Garrett, G, Jacob, JT, et al. Electronic documentation of central venous catheter–days: validation is essential. Infect Control Hosp Epidemiol 2013;34:900–907.Google Scholar
5. Thompson, ND, Edwards, JR, Bamberg, W, et al. Evaluating the accuracy of sampling to estimate central line–days: simplification of the National Healthcare Safety Network surveillance methods. Infect Control Hosp Epidemiol 2013;34:221–228.Google Scholar
6. Klevens, RM, Tokars, JI, Edwards, J, Horan, T. Sampling for collection of central line–day denominators in surveillance of healthcare-associated bloodstream infections. Infect Control Hosp Epidemiol 2006;27:338–342.Google Scholar
7. Shelly, MA, Concannon, C, Dumyati, G. Device use ratio measured weekly can reliably estimate central line–days for central line–associated bloodstream infection rates. Infect Control Hosp Epidemiol 2011;32:727–730.CrossRefGoogle ScholarPubMed
8. Backman, LA, Nobert, G, Melchreit, R, Fekieta, R, Dembry, LM. Validation of the surveillance and reporting of central line-associated bloodstream infection denominator data. Am J Infect Control 2014;42:28–33.Google Scholar