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2066. Development and Implementation of Prescribing Algorithms for Antibiotics on Discharge from the Emergency Department

BACKGROUND: In the emergency department (ED), rapid decision-making and frequent distractions are often challenging to implementing effective antimicrobial stewardship. The purpose of this project is to improve guideline adherence and promote optimal use of outpatient antibiotic therapy for communit...

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Autores principales: Stoll, Kristin, Feltz, Erik, Ebert, Steven C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808974/
http://dx.doi.org/10.1093/ofid/ofz360.1746
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author Stoll, Kristin
Feltz, Erik
Ebert, Steven C
author_facet Stoll, Kristin
Feltz, Erik
Ebert, Steven C
author_sort Stoll, Kristin
collection PubMed
description BACKGROUND: In the emergency department (ED), rapid decision-making and frequent distractions are often challenging to implementing effective antimicrobial stewardship. The purpose of this project is to improve guideline adherence and promote optimal use of outpatient antibiotic therapy for community-acquired infections. METHODS: Prescribing algorithms were developed to integrate clinical practice guideline recommendations with emergency department-specific antibiogram data. Algorithms for treating community-acquired pneumonia (CAP), skin and soft-tissue infections (SSTI), and urinary tract infections (UTI) were made available throughout the ED. Outcomes were evaluated through a chart review of patients prescribed empiric outpatient antibiotics for CAP, SSTI, or UTI by ED providers. Patients were excluded if they were <18 years old, pregnant, or taking antibiotics prior to arrival. The primary outcome was rate of adherence to clinical practice guidelines, defined as the selection of an appropriate antibiotic agent, dose, and duration of therapy for each patient discharged. Secondary outcomes included the rate of fluoroquinolone use, as well as all-cause 30-day returns to the ED or urgent care. RESULTS: When compared with patients discharged from the ED prior to algorithm implementation (N = 325), the post-implementation group (N = 172) received more antibiotic prescriptions that were completely guideline adherent (57.0% vs. 11.7%, P < 0.01). Post-implementation discharge orders demonstrated improvement in the selection of an appropriate agent (86.6% vs. 45.5%, P < 0.01), dose (89.0% vs. 77.2%, P < 0.01), and duration of therapy (63.4% vs. 39.1%, P < 0.01). Additionally, fluoroquinolone prescribing rates in this population were reduced (2.9% vs. 12.3%, P < 0.01). In the post-implementation patients who presented at least 30 days prior to analysis (N = 124), a reduction in all-cause 30-day returns to the ED or urgent care was observed (12.9% vs. 21.5%, P < 0.05). CONCLUSION: Implementation of antibiotic prescribing algorithms improved guideline adherence in the outpatient treatment of CAP, SSTI, and UTI. By developing prescribing algorithms, pharmacists may reduce the unnecessary use of broad-spectrum antibiotics and prevent patient returns to the ED. DISCLOSURES: All authors: No reported disclosures.
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spelling pubmed-68089742019-10-28 2066. Development and Implementation of Prescribing Algorithms for Antibiotics on Discharge from the Emergency Department Stoll, Kristin Feltz, Erik Ebert, Steven C Open Forum Infect Dis Abstracts BACKGROUND: In the emergency department (ED), rapid decision-making and frequent distractions are often challenging to implementing effective antimicrobial stewardship. The purpose of this project is to improve guideline adherence and promote optimal use of outpatient antibiotic therapy for community-acquired infections. METHODS: Prescribing algorithms were developed to integrate clinical practice guideline recommendations with emergency department-specific antibiogram data. Algorithms for treating community-acquired pneumonia (CAP), skin and soft-tissue infections (SSTI), and urinary tract infections (UTI) were made available throughout the ED. Outcomes were evaluated through a chart review of patients prescribed empiric outpatient antibiotics for CAP, SSTI, or UTI by ED providers. Patients were excluded if they were <18 years old, pregnant, or taking antibiotics prior to arrival. The primary outcome was rate of adherence to clinical practice guidelines, defined as the selection of an appropriate antibiotic agent, dose, and duration of therapy for each patient discharged. Secondary outcomes included the rate of fluoroquinolone use, as well as all-cause 30-day returns to the ED or urgent care. RESULTS: When compared with patients discharged from the ED prior to algorithm implementation (N = 325), the post-implementation group (N = 172) received more antibiotic prescriptions that were completely guideline adherent (57.0% vs. 11.7%, P < 0.01). Post-implementation discharge orders demonstrated improvement in the selection of an appropriate agent (86.6% vs. 45.5%, P < 0.01), dose (89.0% vs. 77.2%, P < 0.01), and duration of therapy (63.4% vs. 39.1%, P < 0.01). Additionally, fluoroquinolone prescribing rates in this population were reduced (2.9% vs. 12.3%, P < 0.01). In the post-implementation patients who presented at least 30 days prior to analysis (N = 124), a reduction in all-cause 30-day returns to the ED or urgent care was observed (12.9% vs. 21.5%, P < 0.05). CONCLUSION: Implementation of antibiotic prescribing algorithms improved guideline adherence in the outpatient treatment of CAP, SSTI, and UTI. By developing prescribing algorithms, pharmacists may reduce the unnecessary use of broad-spectrum antibiotics and prevent patient returns to the ED. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2019-10-23 /pmc/articles/PMC6808974/ http://dx.doi.org/10.1093/ofid/ofz360.1746 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Abstracts
Stoll, Kristin
Feltz, Erik
Ebert, Steven C
2066. Development and Implementation of Prescribing Algorithms for Antibiotics on Discharge from the Emergency Department
title 2066. Development and Implementation of Prescribing Algorithms for Antibiotics on Discharge from the Emergency Department
title_full 2066. Development and Implementation of Prescribing Algorithms for Antibiotics on Discharge from the Emergency Department
title_fullStr 2066. Development and Implementation of Prescribing Algorithms for Antibiotics on Discharge from the Emergency Department
title_full_unstemmed 2066. Development and Implementation of Prescribing Algorithms for Antibiotics on Discharge from the Emergency Department
title_short 2066. Development and Implementation of Prescribing Algorithms for Antibiotics on Discharge from the Emergency Department
title_sort 2066. development and implementation of prescribing algorithms for antibiotics on discharge from the emergency department
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808974/
http://dx.doi.org/10.1093/ofid/ofz360.1746
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