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1174. Impact of an Electronic Antibiotic Time-out Best Practice Alert on Antibiotic Use and Prescribing Behavior in Hospitalized Patients

BACKGROUND: Antibiotic time-outs (ATOs) are an evolving stewardship strategy capable of widespread impact with relatively low perceived personnel effort. ATO-based interventions have been shown to improve the rates of antibiotic de-escalation and increase the likelihood of antibiotic optimization. I...

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Autores principales: Ackley, Tyler, Kuti, Joseph L, Bilinskaya, Anastasia, Linder, Kristin E, Dempsey, Casey J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678550/
http://dx.doi.org/10.1093/ofid/ofad500.1014
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author Ackley, Tyler
Kuti, Joseph L
Bilinskaya, Anastasia
Linder, Kristin E
Dempsey, Casey J
author_facet Ackley, Tyler
Kuti, Joseph L
Bilinskaya, Anastasia
Linder, Kristin E
Dempsey, Casey J
author_sort Ackley, Tyler
collection PubMed
description BACKGROUND: Antibiotic time-outs (ATOs) are an evolving stewardship strategy capable of widespread impact with relatively low perceived personnel effort. ATO-based interventions have been shown to improve the rates of antibiotic de-escalation and increase the likelihood of antibiotic optimization. In August 2022, Hartford HealthCare implemented a 72-hour ATO best practice alert (BPA) within the electronic medical record (EMR). Herein, we evaluated the impact of this intervention on antibiotic use and describe behaviors associated with alert prompting. METHODS: This is a multi-center, quasi-experimental, retrospective chart review of admitted patients receiving empiric antibiotics for > 72 hours. An ATO alert was designed and embedded within the EMR and set to fire between the hours of 0700 and 1630. On BPA firing, prescribers were prompted to assess for antibiotic modification – a composite including discontinuation, de-escalation, inclusion of stop-date, and transition to oral therapies. Differences in the rate of antibiotic modification and overall antibiotic prescribing patterns for the 10 most frequently utilized antibiotics were compared between a pre-implementation control period (10/1/21 – 10/31/21) and a post-implementation period (10/1/22 – 10/31/22). RESULTS: A total of 800 patients were included for analysis. There was no significant difference in the rate of antibiotic modification when comparing the pre- and post-implementation cohort (54.5% vs 57.5%, p = 0.433); however, there was a numerically lower rate of antibiotic escalation in the post-cohort (9.5% vs 5.8%, p = 0.062). The duration of antibiotic therapy was longer in the post-implementation cohort (4.7 vs 5.0 days, p < 0.001). CONCLUSION: Despite ATO implementation, rates of antibiotic modification were similar between the pre- and post-cohort. Further work to understand the optimal approach to implementing an ATO will be required to improve the impact on antimicrobial therapy. DISCLOSURES: Joseph L. Kuti, PharmD, bioMeriuex Inc.: Grant/Research Support|Entasis Therapeutics: Grant/Research Support|Merck & Co, Inc: Grant/Research Support|Shionogi Inc: Advisor/Consultant|Shionogi Inc: Grant/Research Support|Shionogi Inc: Honoraria
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spelling pubmed-106785502023-11-27 1174. Impact of an Electronic Antibiotic Time-out Best Practice Alert on Antibiotic Use and Prescribing Behavior in Hospitalized Patients Ackley, Tyler Kuti, Joseph L Bilinskaya, Anastasia Linder, Kristin E Dempsey, Casey J Open Forum Infect Dis Abstract BACKGROUND: Antibiotic time-outs (ATOs) are an evolving stewardship strategy capable of widespread impact with relatively low perceived personnel effort. ATO-based interventions have been shown to improve the rates of antibiotic de-escalation and increase the likelihood of antibiotic optimization. In August 2022, Hartford HealthCare implemented a 72-hour ATO best practice alert (BPA) within the electronic medical record (EMR). Herein, we evaluated the impact of this intervention on antibiotic use and describe behaviors associated with alert prompting. METHODS: This is a multi-center, quasi-experimental, retrospective chart review of admitted patients receiving empiric antibiotics for > 72 hours. An ATO alert was designed and embedded within the EMR and set to fire between the hours of 0700 and 1630. On BPA firing, prescribers were prompted to assess for antibiotic modification – a composite including discontinuation, de-escalation, inclusion of stop-date, and transition to oral therapies. Differences in the rate of antibiotic modification and overall antibiotic prescribing patterns for the 10 most frequently utilized antibiotics were compared between a pre-implementation control period (10/1/21 – 10/31/21) and a post-implementation period (10/1/22 – 10/31/22). RESULTS: A total of 800 patients were included for analysis. There was no significant difference in the rate of antibiotic modification when comparing the pre- and post-implementation cohort (54.5% vs 57.5%, p = 0.433); however, there was a numerically lower rate of antibiotic escalation in the post-cohort (9.5% vs 5.8%, p = 0.062). The duration of antibiotic therapy was longer in the post-implementation cohort (4.7 vs 5.0 days, p < 0.001). CONCLUSION: Despite ATO implementation, rates of antibiotic modification were similar between the pre- and post-cohort. Further work to understand the optimal approach to implementing an ATO will be required to improve the impact on antimicrobial therapy. DISCLOSURES: Joseph L. Kuti, PharmD, bioMeriuex Inc.: Grant/Research Support|Entasis Therapeutics: Grant/Research Support|Merck & Co, Inc: Grant/Research Support|Shionogi Inc: Advisor/Consultant|Shionogi Inc: Grant/Research Support|Shionogi Inc: Honoraria Oxford University Press 2023-11-27 /pmc/articles/PMC10678550/ http://dx.doi.org/10.1093/ofid/ofad500.1014 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Ackley, Tyler
Kuti, Joseph L
Bilinskaya, Anastasia
Linder, Kristin E
Dempsey, Casey J
1174. Impact of an Electronic Antibiotic Time-out Best Practice Alert on Antibiotic Use and Prescribing Behavior in Hospitalized Patients
title 1174. Impact of an Electronic Antibiotic Time-out Best Practice Alert on Antibiotic Use and Prescribing Behavior in Hospitalized Patients
title_full 1174. Impact of an Electronic Antibiotic Time-out Best Practice Alert on Antibiotic Use and Prescribing Behavior in Hospitalized Patients
title_fullStr 1174. Impact of an Electronic Antibiotic Time-out Best Practice Alert on Antibiotic Use and Prescribing Behavior in Hospitalized Patients
title_full_unstemmed 1174. Impact of an Electronic Antibiotic Time-out Best Practice Alert on Antibiotic Use and Prescribing Behavior in Hospitalized Patients
title_short 1174. Impact of an Electronic Antibiotic Time-out Best Practice Alert on Antibiotic Use and Prescribing Behavior in Hospitalized Patients
title_sort 1174. impact of an electronic antibiotic time-out best practice alert on antibiotic use and prescribing behavior in hospitalized patients
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10678550/
http://dx.doi.org/10.1093/ofid/ofad500.1014
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