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1347. Improved Antibiotic Prescribing Practices for Respiratory Infections Through Use of Computerized Order Sets and Educational Sessions in Pediatric Clinics

BACKGROUND: The literature about comprehensive outpatient antimicrobial stewardship programs remains sparse. However, computerized clinical decision support systems (CDSSs) have shown promising effectiveness in improving outpatient antibiotic prescribing. METHODS: We developed an intervention in the...

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Autores principales: Zahlanie, Yorgo, Mang, Norman, Lin, Kevin, Hynan, Linda S, Prokesch, Bonnie C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777089/
http://dx.doi.org/10.1093/ofid/ofaa439.1529
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author Zahlanie, Yorgo
Mang, Norman
Lin, Kevin
Hynan, Linda S
Prokesch, Bonnie C
author_facet Zahlanie, Yorgo
Mang, Norman
Lin, Kevin
Hynan, Linda S
Prokesch, Bonnie C
author_sort Zahlanie, Yorgo
collection PubMed
description BACKGROUND: The literature about comprehensive outpatient antimicrobial stewardship programs remains sparse. However, computerized clinical decision support systems (CDSSs) have shown promising effectiveness in improving outpatient antibiotic prescribing. METHODS: We developed an intervention in the form of EPIC order sets comprised of outpatient treatment pathways for 3 pediatric bacterial acute respiratory infections or ARIs (otitis media, community-acquired pneumonia, and streptococcal pharyngitis) coupled with educational sessions. Two study periods were included, and 4 pediatric clinics were randomized into intervention and control arms. Education was provided to the 2 intervention clinics between the study periods, and EPIC order sets became available to these 2 clinics at the beginning of the post-intervention period. The primary endpoint was the rate of first-line antibiotic prescribing, and the secondary endpoints included antibiotic duration and antibiotic prescription modification within 14 days. RESULTS: A total of 2690 antibiotic prescriptions were written for bacterial ARIs. At pre-intervention, there was no difference between the study arms in terms of first-line antibiotic prescribing (74.9% vs. 77.7%, P=0.211) and antibiotic duration (9.69 ±0.96 days vs. 9.63 ±1.07 days, P>0.999). Following the intervention, the intervention clinics had higher rate of first-line antibiotic prescribing (83.1% vs. 77.7%, P=0.024) and shorter antibiotic duration (9.28 ±1.56 days vs. 9.79 ±0.75 days, P< 0.001) compared to the control clinics. The rate of modified antibiotics was small in all clinics (1.1-1.6%) and not different at pre-intervention (P=0.852) and post-intervention (P=0.552). Analysis of categorical variables [Image: see text] Analysis of continuous variables [Image: see text] Distribution of the antibiotic prescriptions among the 3 bacterial acute respiratory infections [Image: see text] CONCLUSION: A computerized CDSS involving treatment pathways in the form of order sets coupled with educational sessions was associated with a higher rate of first-line antibiotic prescribing and shorter antibiotic duration for the outpatient treatment of bacterial ARIs. More studies are needed in order to assess the utility of multimodal approaches in pediatric outpatient antimicrobial stewardship. DISCLOSURES: All Authors: No reported disclosures
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spelling pubmed-77770892021-01-07 1347. Improved Antibiotic Prescribing Practices for Respiratory Infections Through Use of Computerized Order Sets and Educational Sessions in Pediatric Clinics Zahlanie, Yorgo Mang, Norman Lin, Kevin Hynan, Linda S Prokesch, Bonnie C Open Forum Infect Dis Poster Abstracts BACKGROUND: The literature about comprehensive outpatient antimicrobial stewardship programs remains sparse. However, computerized clinical decision support systems (CDSSs) have shown promising effectiveness in improving outpatient antibiotic prescribing. METHODS: We developed an intervention in the form of EPIC order sets comprised of outpatient treatment pathways for 3 pediatric bacterial acute respiratory infections or ARIs (otitis media, community-acquired pneumonia, and streptococcal pharyngitis) coupled with educational sessions. Two study periods were included, and 4 pediatric clinics were randomized into intervention and control arms. Education was provided to the 2 intervention clinics between the study periods, and EPIC order sets became available to these 2 clinics at the beginning of the post-intervention period. The primary endpoint was the rate of first-line antibiotic prescribing, and the secondary endpoints included antibiotic duration and antibiotic prescription modification within 14 days. RESULTS: A total of 2690 antibiotic prescriptions were written for bacterial ARIs. At pre-intervention, there was no difference between the study arms in terms of first-line antibiotic prescribing (74.9% vs. 77.7%, P=0.211) and antibiotic duration (9.69 ±0.96 days vs. 9.63 ±1.07 days, P>0.999). Following the intervention, the intervention clinics had higher rate of first-line antibiotic prescribing (83.1% vs. 77.7%, P=0.024) and shorter antibiotic duration (9.28 ±1.56 days vs. 9.79 ±0.75 days, P< 0.001) compared to the control clinics. The rate of modified antibiotics was small in all clinics (1.1-1.6%) and not different at pre-intervention (P=0.852) and post-intervention (P=0.552). Analysis of categorical variables [Image: see text] Analysis of continuous variables [Image: see text] Distribution of the antibiotic prescriptions among the 3 bacterial acute respiratory infections [Image: see text] CONCLUSION: A computerized CDSS involving treatment pathways in the form of order sets coupled with educational sessions was associated with a higher rate of first-line antibiotic prescribing and shorter antibiotic duration for the outpatient treatment of bacterial ARIs. More studies are needed in order to assess the utility of multimodal approaches in pediatric outpatient antimicrobial stewardship. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2020-12-31 /pmc/articles/PMC7777089/ http://dx.doi.org/10.1093/ofid/ofaa439.1529 Text en © The Author 2020. 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 Poster Abstracts
Zahlanie, Yorgo
Mang, Norman
Lin, Kevin
Hynan, Linda S
Prokesch, Bonnie C
1347. Improved Antibiotic Prescribing Practices for Respiratory Infections Through Use of Computerized Order Sets and Educational Sessions in Pediatric Clinics
title 1347. Improved Antibiotic Prescribing Practices for Respiratory Infections Through Use of Computerized Order Sets and Educational Sessions in Pediatric Clinics
title_full 1347. Improved Antibiotic Prescribing Practices for Respiratory Infections Through Use of Computerized Order Sets and Educational Sessions in Pediatric Clinics
title_fullStr 1347. Improved Antibiotic Prescribing Practices for Respiratory Infections Through Use of Computerized Order Sets and Educational Sessions in Pediatric Clinics
title_full_unstemmed 1347. Improved Antibiotic Prescribing Practices for Respiratory Infections Through Use of Computerized Order Sets and Educational Sessions in Pediatric Clinics
title_short 1347. Improved Antibiotic Prescribing Practices for Respiratory Infections Through Use of Computerized Order Sets and Educational Sessions in Pediatric Clinics
title_sort 1347. improved antibiotic prescribing practices for respiratory infections through use of computerized order sets and educational sessions in pediatric clinics
topic Poster Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777089/
http://dx.doi.org/10.1093/ofid/ofaa439.1529
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