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Sustainably reducing device utilization and device-related infections with DeCATHlons, device alternatives, and decision support

Published online by Cambridge University Press:  30 June 2020

Emil P. Lesho
Affiliation:
Infectious Diseases Unit, Rochester Regional Health, Rochester, New York
Robert Clifford
Affiliation:
Bioinformatics, Cavia Partners, Silver Spring, Maryland
Kelly Vore
Affiliation:
Infection Prevention, Rochester Regional Health, Rochester, New York
Balazs Zsenits
Affiliation:
Health Informatics, Rochester Regional Health, Rochester, New York
Jose Alcantara
Affiliation:
Health Informatics, Rochester Regional Health, Rochester, New York
Bryan Gargano
Affiliation:
Associate Chief Medical Officer, Rochester Regional Health, Rochester, New York
Matthew Phillips
Affiliation:
Health Informatics, Rochester Regional Health, Rochester, New York
Susan Boyd
Affiliation:
Nursing, Rochester Regional Health, Rochester, New York
Laura Eckert-Davis
Affiliation:
Nursing, University of Rochester Medical Center, Rochester, New York
Carlos Sosa
Affiliation:
Infection Prevention, Rochester Regional Health, Rochester, New York
Roberto Vargas
Affiliation:
Pathology Department, Rochester Regional Health, Rochester, New York
Dawn Riedy
Affiliation:
Pathology Department, Rochester Regional Health, Rochester, New York
Deborah Stamps
Affiliation:
Quality and Safety Institute, Rochester Regional Health, Rochester, New York
Hiloni Bhavsar
Affiliation:
Quality and Safety Institute, Rochester Regional Health, Rochester, New York
Jennifer Fede
Affiliation:
Infection Prevention, Rochester Regional Health, Rochester, New York
Maryrose Laguio-Vila
Affiliation:
Infectious Diseases Unit, Rochester Regional Health, Rochester, New York
Melissa Bronstein
Affiliation:
Quality and Safety Institute, Rochester Regional Health, Rochester, New York
Corresponding
E-mail address:

Abstract

Engagement of frontline staff, along with senior leadership, in competition-style healthcare-associated infection reduction efforts, combined with electronic clinical decision support tools, appeared to reduce antibiotic regimen initiations for urinary tract infections (P = .01). Mean monthly standardized infection and device utilization ratios also decreased (P < .003 and P < .0001, respectively).

Type
Concise Communication
Copyright
© 2020 by The Society for Healthcare Epidemiology of America. All rights reserved.

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Footnotes

PREVIOUS PRESENTATION. These data were presented at the 2019 Spring SHEA Conference on April 24, 2019, in Boston, Massachusetts.

References

Healthcare-associated infections fact sheet. World Health Organization website. https://www.who.int/gpsc/country_work/gpsc_ccisc_fact_sheet_en.pdf. Accessed April 22, 2020.Google Scholar
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Sustainably reducing device utilization and device-related infections with DeCATHlons, device alternatives, and decision support
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