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Beyond antibiotic prescribing rates: first-line antibiotic selection, prescription duration, and associated factors for respiratory encounters in urgent care

Published online by Cambridge University Press:  05 September 2023

Allan M. Seibert*
Affiliation:
Division of Infectious Diseases, Intermountain Health, Salt Lake City, UT, USA
Carly Schenk
Affiliation:
Maine Medical Center, Portland, ME, USA
Whitney R. Buckel
Affiliation:
Pharmacy Services, Intermountain Health, Salt Lake City, UT, USA
Payal K. Patel
Affiliation:
Division of Infectious Diseases, Intermountain Health, Salt Lake City, UT, USA
Nora Fino
Affiliation:
Division of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
Valoree Stanfield
Affiliation:
Office of Patient Experience, Intermountain Health, Salt Lake City, UT, USA
Adam L. Hersh
Affiliation:
Department of Pediatrics, Division of Infectious Diseases, University of Utah School of Medicine, Salt Lake City, UT, USA
Eddie Stenehjem
Affiliation:
Division of Infectious Diseases, Intermountain Health, Salt Lake City, UT, USA
*
Corresponding author: Allan M. Seibert; Email: allan.seibert@imail.org

Abstract

Objective:

Assess urgent care (UC) clinician prescribing practices and factors associated with first-line antibiotic selection and recommended duration of therapy for sinusitis, acute otitis media (AOM), and pharyngitis.

Design:

Retrospective cohort study.

Participants:

All respiratory UC encounters and clinicians in the Intermountain Health (IH) network, July 1st, 2019–June 30th, 2020.

Methods:

Descriptive statistics were used to characterize first-line antibiotic selection rates and the duration of antibiotic prescriptions during pharyngitis, sinusitis, and AOM UC encounters. Patient and clinician characteristics were evaluated. System-specific guidelines recommended 5–10 days of penicillin, amoxicillin, or amoxicillin-clavulanate as first-line. Alternative therapies were recommended for penicillin allergy. Generalized estimating equation modeling was used to assess predictors of first-line antibiotic selection, prescription duration, and first-line antibiotic prescriptions for an appropriate duration.

Results:

Among encounters in which an antibiotic was prescribed, the rate of first-line antibiotic selection was 75%, the recommended duration was 70%, and the rate of first-line antibiotic selection for the recommended duration was 53%. AOM was associated with the highest rate of first-line prescriptions (83%); sinusitis the lowest (69%). Pharyngitis was associated with the highest rate of prescriptions for the recommended duration (91%); AOM the lowest (51%). Penicillin allergy was the strongest predictor of non–first-line selection (OR = 0.02, 95% CI [0.02, 0.02]) and was also associated with extended duration prescriptions (OR = 0.87 [0.80, 0.95]).

Conclusions:

First-line antibiotic selection and duration for respiratory UC encounters varied by diagnosis and patient characteristics. These areas can serve as a focus for ongoing stewardship efforts.

Information

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America
Figure 0

Table 1. Institution-specific guidelines recommended first-line and second-line antibiotics and duration of therapy for pharyngitis, acute sinusitis, and acute otitis media

Figure 1

Table 2. Patient and provider characteristics for all encounters with an antibiotic prescription (Abx)

Figure 2

Table 3. Results from GEE models accounting for correlation within provider for first-line prescribing and appropriate duration for all encounters with an antibiotic. Univariate and multivariable models are presented; multivariable models are adjusted for all factors listed in the table.

Figure 3

Table 4. Results from GEE models accounting for correlation within provider for first-line prescribing for appropriate duration for all encounters with an antibiotic. Univariate and multivariable models are presented; multivariable models are adjusted for all factors listed in the table.

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