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Survey to determine the relative importance of clinical factors used to make empiric antibiotic decisions

Published online by Cambridge University Press:  02 September 2020

Casey Kim Open the ORCID record for Casey Kim [Opens in a new window] ,
Julia E. Szymczak ,
Erin M. Schnellinger ,
David J. Herman ,
Leigh A. Kennedy ,
Naasha J. Talati  and
Keith W. Hamilton
Casey Kim
Affiliation:
Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
Julia E. Szymczak
Affiliation:
Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
Erin M. Schnellinger
Affiliation:
Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania
David J. Herman
Affiliation:
ID Care, Hillsborough, New Jersey Princeton Medical Center, Princeton, New Jersey
Leigh A. Kennedy
Affiliation:
Division of Infectious Diseases, Pennsylvania Hospital, Philadelphia, Pennsylvania
Naasha J. Talati
Affiliation:
Division of Infectious Diseases, Penn Presbyterian Medical Center, Philadelphia, Pennsylvania
Keith W. Hamilton*
Affiliation:
Division of Infectious Diseases, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
*
Author for correspondence: Keith W. Hamilton, E-mail: keith.hamilton@pennmedicine.upenn.edu
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Abstract

A cross-sectional survey study of inpatient prescribers in a university health system was performed to assess the importance they place on different clinical risk factors when making empiric antibiotic decisions. Our findings show that these clinical risk factors were weighted differently based on the clinical scenario and the type of prescriber.

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 42 , Issue 1 , January 2021 , pp. 93 - 95
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Copyright
© 2020 by The Society for Healthcare Epidemiology of America. All rights reserved.

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References

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Supplementary material: PDF

Kim et al. supplementary material

Kim et al. supplementary material

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