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186. Prescriber-Led Antibiotic Timeout Alert Responses: A Retrospective Multicenter Study
BACKGROUND: An antibiotic time out is when a clinician is prompted to reevaluate antibiotic therapy for appropriateness after 48–72 hrs. The purpose of this study is to evaluate the impact of a prescriber-led electronic antibiotic timeout alert. METHODS: This was a retrospective cohort study conduct...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778230/ http://dx.doi.org/10.1093/ofid/ofaa439.230 |
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author | Smoke, Steven Secaras, Ellen Crossen, Melissa Patel, Gargi Brophy, Alison Clark, Alexander Elbaga, Yasmine Raja, Karan Shah, Monica Stone, Elizabeth Lew, Indu |
author_facet | Smoke, Steven Secaras, Ellen Crossen, Melissa Patel, Gargi Brophy, Alison Clark, Alexander Elbaga, Yasmine Raja, Karan Shah, Monica Stone, Elizabeth Lew, Indu |
author_sort | Smoke, Steven |
collection | PubMed |
description | BACKGROUND: An antibiotic time out is when a clinician is prompted to reevaluate antibiotic therapy for appropriateness after 48–72 hrs. The purpose of this study is to evaluate the impact of a prescriber-led electronic antibiotic timeout alert. METHODS: This was a retrospective cohort study conducted at seven hospitals of a health system. The alert prompts prescribers to reevaluate antibiotic therapy after > 72 hours upon opening the electronic chart. Prescribers can then choose to “Continue”, “Renew”, “Discontinue” or “Defer” for each antibiotic. The alert fires for every time the chart is opened, for every prescriber, every time any antibiotic has been active for > 72 hours and no action response (i.e., “Continue”, “Renew”, “Discontinue”) has been selected. This was a 6 month study from November 1, 2018 – April 30, 2019. The primary outcome measure was the percentage of patients having > 1 antibiotic discontinued via the electronic antibiotic timeout alert. Secondary outcomes included frequency of timeout alerts per patient, and percentage of discontinuations per response, by drug, by indication and by patient age. RESULTS: A total of 213950 alerts fired for 13263 patients during the study period. 94.2% and 0.4% of responses were “Defer” and “Discontinue”, respectively. The average number of alerts per patient was 16.1. The percentage of patients who had at least one discontinuation was 5.3%. 38.2% of patients had no response other than “Defer”. There were a total of 10306 action responses, 4.8% of which were “Discontinue”. Among action responses, discontinue rates for the indications of “COPD exacerbation”, “Prophylaxis, Surgical/Procedural”, “Prophylaxis, Immunosuppression”, “Osteomyelitis” were 9.6%, 12%, 1.3% and 1%, respectively. Azithromycin and trimethoprim/sulfamethoxazole had discontinuation rates of 9.3% and 0.9%, respectively. Patient age had a significant impact on discontinuation rates with rates of 4.7%, 3.5%, and 10.9% for patients > 18, 2–17 and < 2 years of age (p< 0.001). CONCLUSION: An electronic antibiotic timeout alert implemented at seven hospitals was largely ignored. This alert may be refined by limiting it to antibiotic orders with specific features associated with higher rates of discontinuation. DISCLOSURES: All Authors: No reported disclosures |
format | Online Article Text |
id | pubmed-7778230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77782302021-01-07 186. Prescriber-Led Antibiotic Timeout Alert Responses: A Retrospective Multicenter Study Smoke, Steven Secaras, Ellen Crossen, Melissa Patel, Gargi Brophy, Alison Clark, Alexander Elbaga, Yasmine Raja, Karan Shah, Monica Stone, Elizabeth Lew, Indu Open Forum Infect Dis Poster Abstracts BACKGROUND: An antibiotic time out is when a clinician is prompted to reevaluate antibiotic therapy for appropriateness after 48–72 hrs. The purpose of this study is to evaluate the impact of a prescriber-led electronic antibiotic timeout alert. METHODS: This was a retrospective cohort study conducted at seven hospitals of a health system. The alert prompts prescribers to reevaluate antibiotic therapy after > 72 hours upon opening the electronic chart. Prescribers can then choose to “Continue”, “Renew”, “Discontinue” or “Defer” for each antibiotic. The alert fires for every time the chart is opened, for every prescriber, every time any antibiotic has been active for > 72 hours and no action response (i.e., “Continue”, “Renew”, “Discontinue”) has been selected. This was a 6 month study from November 1, 2018 – April 30, 2019. The primary outcome measure was the percentage of patients having > 1 antibiotic discontinued via the electronic antibiotic timeout alert. Secondary outcomes included frequency of timeout alerts per patient, and percentage of discontinuations per response, by drug, by indication and by patient age. RESULTS: A total of 213950 alerts fired for 13263 patients during the study period. 94.2% and 0.4% of responses were “Defer” and “Discontinue”, respectively. The average number of alerts per patient was 16.1. The percentage of patients who had at least one discontinuation was 5.3%. 38.2% of patients had no response other than “Defer”. There were a total of 10306 action responses, 4.8% of which were “Discontinue”. Among action responses, discontinue rates for the indications of “COPD exacerbation”, “Prophylaxis, Surgical/Procedural”, “Prophylaxis, Immunosuppression”, “Osteomyelitis” were 9.6%, 12%, 1.3% and 1%, respectively. Azithromycin and trimethoprim/sulfamethoxazole had discontinuation rates of 9.3% and 0.9%, respectively. Patient age had a significant impact on discontinuation rates with rates of 4.7%, 3.5%, and 10.9% for patients > 18, 2–17 and < 2 years of age (p< 0.001). CONCLUSION: An electronic antibiotic timeout alert implemented at seven hospitals was largely ignored. This alert may be refined by limiting it to antibiotic orders with specific features associated with higher rates of discontinuation. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2020-12-31 /pmc/articles/PMC7778230/ http://dx.doi.org/10.1093/ofid/ofaa439.230 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 Smoke, Steven Secaras, Ellen Crossen, Melissa Patel, Gargi Brophy, Alison Clark, Alexander Elbaga, Yasmine Raja, Karan Shah, Monica Stone, Elizabeth Lew, Indu 186. Prescriber-Led Antibiotic Timeout Alert Responses: A Retrospective Multicenter Study |
title | 186. Prescriber-Led Antibiotic Timeout Alert Responses: A Retrospective Multicenter Study |
title_full | 186. Prescriber-Led Antibiotic Timeout Alert Responses: A Retrospective Multicenter Study |
title_fullStr | 186. Prescriber-Led Antibiotic Timeout Alert Responses: A Retrospective Multicenter Study |
title_full_unstemmed | 186. Prescriber-Led Antibiotic Timeout Alert Responses: A Retrospective Multicenter Study |
title_short | 186. Prescriber-Led Antibiotic Timeout Alert Responses: A Retrospective Multicenter Study |
title_sort | 186. prescriber-led antibiotic timeout alert responses: a retrospective multicenter study |
topic | Poster Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778230/ http://dx.doi.org/10.1093/ofid/ofaa439.230 |
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