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Evaluation of Manual and Automated Bloodstream Infection Surveillance in Outpatient Dialysis Centers

Published online by Cambridge University Press:  14 January 2016

Nicola D. Thompson*
Affiliation:
Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
Matthew Wise
Affiliation:
Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
Ruth Belflower
Affiliation:
Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
Meredith Kanago
Affiliation:
Tennessee Department of Health, Emerging Infections Program, Nashville, Tennessee
Marion A. Kainer
Affiliation:
Tennessee Department of Health, Emerging Infections Program, Nashville, Tennessee
Chris Lovell
Affiliation:
Dialysis Clinic, Inc, Nashville, Tennessee.
Priti R. Patel
Affiliation:
Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia
*
Address correspondence to Nicola D. Thompson, PhD, MS, Division of Healthcare Quality Promotion, Centers for Disease Control and Prevention, 1600 Clifton Rd, MS A-16, Atlanta, GA 30333 (ndthompson@cdc.gov).

Abstract

Outpatient hemodialysis bloodstream infection rates, now used for performance measurement and were significantly higher for manual compared with automated surveillance (P<.001), largely owing to the absence of blood culture data in the dialysis electronic health record. Improvement in data sharing between hospitals and outpatient dialysis centers is necessary.

Infect. Control Hosp. Epidemiol. 2016;37(4):472–474

Type
Concise Communications
Copyright
© 2016 by The Society for Healthcare Epidemiology of America. All rights reserved 

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Footnotes

Presented in part: IDWeek 2014; Philadelphia, Pennsylvania; October 11, 2014 (Abstract 1285).

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention

References

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