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Impact of An Electronic “Antibiotic Time Out” on Provider Prescribing Patterns
BACKGROUND: Current antibiotic stewardship guidelines suggest the use of an antibiotic time-out (ATO) 48–72 hours after antibiotic initiation to encourage review of empiric regimens once additional diagnostic information is available; however, the recommendation is based on low-quality evidence. Our...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632235/ http://dx.doi.org/10.1093/ofid/ofx163.583 |
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author | Kwong Li, Sui Lewis, James S Forrest, Graeme N Elman, Miriam R McGregor, Jessina C |
author_facet | Kwong Li, Sui Lewis, James S Forrest, Graeme N Elman, Miriam R McGregor, Jessina C |
author_sort | Kwong Li, Sui |
collection | PubMed |
description | BACKGROUND: Current antibiotic stewardship guidelines suggest the use of an antibiotic time-out (ATO) 48–72 hours after antibiotic initiation to encourage review of empiric regimens once additional diagnostic information is available; however, the recommendation is based on low-quality evidence. Our objective was to retrospectively evaluate the impact of an electronic ATO alert within the EPIC™ electronic health record on provider prescribing patterns after implementation. METHODS: The ATO alerts were instituted in January 2017 and were triggered when an inpatient received Vancomycin (VAN), Piperacillin/Tazobactam (PT), Ceftriaxone (CEF), or a combination of them for >72 hours. We used an EPIC™ benchside report to identify ATO alerts between January and April 2017 and systematically reviewed charts from the last week of each month to identify de-escalation opportunities (DEO). Pediatric, bone marrow transplant, orthopedic, and cystic fibrosis patients were excluded. The primary outcome was de-escalation within 12 hours of the alert, defined as narrowing of spectrum or discontinuation of antibiotics. RESULTS: We identified 805 alerts among 209 patients; 87 patients were excluded from analysis. Among 122 included patients, a median of 3 alerts were triggered per patient (470 in total). DEO was identified in 34.7% of alerts; de-escalation events (DEE) occurred in 34.3% of DEO. Table 1 lists alerts, DEO, and DEE by antibiotic. PT was the most frequently de-escalated antibiotic (46.4% [26/56] of DEE). De-escalation occurred more frequently among patients either actively followed (P < 0.01) or receiving new consultations by Infectious Disease (P = 0.04). CONCLUSION: An electronic ATO alert triggered only on the basis of drug and duration lacked specificity in identifying opportunities for antibiotic de-escalation. De-escalation occurred significantly more frequently with Infectious Disease team involvement. Additional study is required to identify how to best support de-escalation efforts. DISCLOSURES: J. S. Lewis II, Merck & Co.: Consultant, Consulting fee. J. C. McGregor, Merck & Co.: Grant Investigator, Research grant. |
format | Online Article Text |
id | pubmed-5632235 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-56322352017-10-12 Impact of An Electronic “Antibiotic Time Out” on Provider Prescribing Patterns Kwong Li, Sui Lewis, James S Forrest, Graeme N Elman, Miriam R McGregor, Jessina C Open Forum Infect Dis Abstracts BACKGROUND: Current antibiotic stewardship guidelines suggest the use of an antibiotic time-out (ATO) 48–72 hours after antibiotic initiation to encourage review of empiric regimens once additional diagnostic information is available; however, the recommendation is based on low-quality evidence. Our objective was to retrospectively evaluate the impact of an electronic ATO alert within the EPIC™ electronic health record on provider prescribing patterns after implementation. METHODS: The ATO alerts were instituted in January 2017 and were triggered when an inpatient received Vancomycin (VAN), Piperacillin/Tazobactam (PT), Ceftriaxone (CEF), or a combination of them for >72 hours. We used an EPIC™ benchside report to identify ATO alerts between January and April 2017 and systematically reviewed charts from the last week of each month to identify de-escalation opportunities (DEO). Pediatric, bone marrow transplant, orthopedic, and cystic fibrosis patients were excluded. The primary outcome was de-escalation within 12 hours of the alert, defined as narrowing of spectrum or discontinuation of antibiotics. RESULTS: We identified 805 alerts among 209 patients; 87 patients were excluded from analysis. Among 122 included patients, a median of 3 alerts were triggered per patient (470 in total). DEO was identified in 34.7% of alerts; de-escalation events (DEE) occurred in 34.3% of DEO. Table 1 lists alerts, DEO, and DEE by antibiotic. PT was the most frequently de-escalated antibiotic (46.4% [26/56] of DEE). De-escalation occurred more frequently among patients either actively followed (P < 0.01) or receiving new consultations by Infectious Disease (P = 0.04). CONCLUSION: An electronic ATO alert triggered only on the basis of drug and duration lacked specificity in identifying opportunities for antibiotic de-escalation. De-escalation occurred significantly more frequently with Infectious Disease team involvement. Additional study is required to identify how to best support de-escalation efforts. DISCLOSURES: J. S. Lewis II, Merck & Co.: Consultant, Consulting fee. J. C. McGregor, Merck & Co.: Grant Investigator, Research grant. Oxford University Press 2017-10-04 /pmc/articles/PMC5632235/ http://dx.doi.org/10.1093/ofid/ofx163.583 Text en © The Author 2017. 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 Kwong Li, Sui Lewis, James S Forrest, Graeme N Elman, Miriam R McGregor, Jessina C Impact of An Electronic “Antibiotic Time Out” on Provider Prescribing Patterns |
title | Impact of An Electronic “Antibiotic Time Out” on Provider Prescribing Patterns |
title_full | Impact of An Electronic “Antibiotic Time Out” on Provider Prescribing Patterns |
title_fullStr | Impact of An Electronic “Antibiotic Time Out” on Provider Prescribing Patterns |
title_full_unstemmed | Impact of An Electronic “Antibiotic Time Out” on Provider Prescribing Patterns |
title_short | Impact of An Electronic “Antibiotic Time Out” on Provider Prescribing Patterns |
title_sort | impact of an electronic “antibiotic time out” on provider prescribing patterns |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632235/ http://dx.doi.org/10.1093/ofid/ofx163.583 |
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