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1227. Analysis of Prescriber Interaction with an Electronic Antibiotic Time-out Best Practice Alert
BACKGROUND: The impact of antibiotic time-outs (ATOs) on antibiotic use relies heavily on prescriber interaction, which may be reduced due to workflow disruption or alert fatigue. In August 2022, Hartford HealthCare implemented a 72-hour ATO best practice alert. Herein, we evaluated prescriber behav...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10676958/ http://dx.doi.org/10.1093/ofid/ofad500.1067 |
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author | Ackley, Tyler Bilinskaya, Anastasia Kuti, Joseph L Linder, Kristin E Dempsey, Casey J |
author_facet | Ackley, Tyler Bilinskaya, Anastasia Kuti, Joseph L Linder, Kristin E Dempsey, Casey J |
author_sort | Ackley, Tyler |
collection | PubMed |
description | BACKGROUND: The impact of antibiotic time-outs (ATOs) on antibiotic use relies heavily on prescriber interaction, which may be reduced due to workflow disruption or alert fatigue. In August 2022, Hartford HealthCare implemented a 72-hour ATO best practice alert. Herein, we evaluated prescriber behavior when interacting with the ATO alert to assess the impact on prescriber stewardship workflow. METHODS: An ATO alert was designed to fire between 0700 and 1630. Upon firing, prescribers were prompted to assess for antibiotic modification – a composite including discontinuation, de-escalation, inclusion of stop-date, and transition to oral therapies. Additional responses were included to defer re-firing for patients deemed not to be a candidate for antibiotic modification. The primary endpoint was defined as the rate of ATO response aligning with antibiotic modification for the 10 most frequently utilized antibiotics and assessed from 10/1/22 – 12/31/22. A predefined subset of patients was evaluated for ATO appropriateness by prescriber specialty and role. RESULTS: A total of 15,383 ATO alerts were included for analysis, corresponding to 3,498 unique patients. The primary endpoint occurred in 21.4% of cases. The most commonly selected ATO response was a reminder in 10 minutes (48.2%). The median time viewing the ATO alert was 5 seconds (IQR 4 – 8s). In a subset of 400 patients, ATO selections were found to be appropriate in 56% of cases. When stratified by prescriber role, attending physicians were more likely to appropriately utilize the ATO compared to resident and advanced practice practitioners (62.7% vs 48.5% vs 46.2%, p = 0.007) and were more likely to select an ATO response aligning with antibiotic modification (39.5% vs 7.6% vs 12.3%, p < 0.001). CONCLUSION: ATO selection corresponding to antibiotic modification was low regardless of prescriber role. Further work optimizing the ATO design will be required to improve integration into stewardship workflow. 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 |
format | Online Article Text |
id | pubmed-10676958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106769582023-11-27 1227. Analysis of Prescriber Interaction with an Electronic Antibiotic Time-out Best Practice Alert Ackley, Tyler Bilinskaya, Anastasia Kuti, Joseph L Linder, Kristin E Dempsey, Casey J Open Forum Infect Dis Abstract BACKGROUND: The impact of antibiotic time-outs (ATOs) on antibiotic use relies heavily on prescriber interaction, which may be reduced due to workflow disruption or alert fatigue. In August 2022, Hartford HealthCare implemented a 72-hour ATO best practice alert. Herein, we evaluated prescriber behavior when interacting with the ATO alert to assess the impact on prescriber stewardship workflow. METHODS: An ATO alert was designed to fire between 0700 and 1630. Upon firing, prescribers were prompted to assess for antibiotic modification – a composite including discontinuation, de-escalation, inclusion of stop-date, and transition to oral therapies. Additional responses were included to defer re-firing for patients deemed not to be a candidate for antibiotic modification. The primary endpoint was defined as the rate of ATO response aligning with antibiotic modification for the 10 most frequently utilized antibiotics and assessed from 10/1/22 – 12/31/22. A predefined subset of patients was evaluated for ATO appropriateness by prescriber specialty and role. RESULTS: A total of 15,383 ATO alerts were included for analysis, corresponding to 3,498 unique patients. The primary endpoint occurred in 21.4% of cases. The most commonly selected ATO response was a reminder in 10 minutes (48.2%). The median time viewing the ATO alert was 5 seconds (IQR 4 – 8s). In a subset of 400 patients, ATO selections were found to be appropriate in 56% of cases. When stratified by prescriber role, attending physicians were more likely to appropriately utilize the ATO compared to resident and advanced practice practitioners (62.7% vs 48.5% vs 46.2%, p = 0.007) and were more likely to select an ATO response aligning with antibiotic modification (39.5% vs 7.6% vs 12.3%, p < 0.001). CONCLUSION: ATO selection corresponding to antibiotic modification was low regardless of prescriber role. Further work optimizing the ATO design will be required to improve integration into stewardship workflow. 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/PMC10676958/ http://dx.doi.org/10.1093/ofid/ofad500.1067 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 Bilinskaya, Anastasia Kuti, Joseph L Linder, Kristin E Dempsey, Casey J 1227. Analysis of Prescriber Interaction with an Electronic Antibiotic Time-out Best Practice Alert |
title | 1227. Analysis of Prescriber Interaction with an Electronic Antibiotic Time-out Best Practice Alert |
title_full | 1227. Analysis of Prescriber Interaction with an Electronic Antibiotic Time-out Best Practice Alert |
title_fullStr | 1227. Analysis of Prescriber Interaction with an Electronic Antibiotic Time-out Best Practice Alert |
title_full_unstemmed | 1227. Analysis of Prescriber Interaction with an Electronic Antibiotic Time-out Best Practice Alert |
title_short | 1227. Analysis of Prescriber Interaction with an Electronic Antibiotic Time-out Best Practice Alert |
title_sort | 1227. analysis of prescriber interaction with an electronic antibiotic time-out best practice alert |
topic | Abstract |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10676958/ http://dx.doi.org/10.1093/ofid/ofad500.1067 |
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