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Implementation of a diagnostic algorithm to reduce CAUTI surveillance events

Published online by Cambridge University Press:  22 August 2025

Daniel A. Caroff*
Affiliation:
Division of Infectious Diseases, Lahey Hospital and Medical Center, Burlington, MA, USA Department of Infection Prevention and Control, Beth Israel Lahey Health, Cambridge, MA, USA
James M. Dargin
Affiliation:
Division of Pulmonary and Critical Care Medicine, Lahey Hospital and Medical Center, Burlington, MA, USA
Lindsey Rieder
Affiliation:
Department of Infection Prevention and Control, Beth Israel Lahey Health, Cambridge, MA, USA
Rabin Dhungana
Affiliation:
Department of Infection Prevention and Control, Beth Israel Lahey Health, Cambridge, MA, USA
Yixin Kong
Affiliation:
Department of Medicine, Lahey Hospital and Medical Center, Burlington, MA, USA
Damini Saxena
Affiliation:
Section of Pulmonary, Critical Care, and Sleep Medicine, Baylor College of Medicine, Houston, TX, USA
Arlene Stoller
Affiliation:
Department of Nursing Education, Lahey Hospital and Medical Center, Burlington, MA, USA
Susan B. Stempek
Affiliation:
Division of Pulmonary and Critical Care Medicine, Lahey Hospital and Medical Center, Burlington, MA, USA
Robert A. Duncan
Affiliation:
Division of Infectious Diseases, Lahey Hospital and Medical Center, Burlington, MA, USA
*
Corresponding author: Daniel A. Caroff; Email: daniel.caroff@lahey.org

Abstract

Diagnostic stewardship of urine cultures is a recognized tool for CAUTI prevention, yet few diagnostic algorithms have been validated. This study of a novel diagnostic CAUTI algorithm showed a significant and durable improvement in urine culturing, catheter exchange, and CAUTI rate, supporting this algorithm as an effective diagnostic stewardship tool.

Information

Type
Concise Communication
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

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Footnotes

$

Deceased October 2020

References

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