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Neonatal ICU antibiotic use trends within an integrated delivery network

BACKGROUND AND OBJECTIVES: There is a need for robust antibiotic stewardship programs (ASPs) in the neonatal population. This study's objectives were to assess neonatal antibiotic use practices over an extended period across an integrated delivery network (IDN), including six Neonatal Intensive...

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Autores principales: Boverman, Gregory, Perez, Christine, Vij, Shruti, Tgavalekos, Kristen, Ravindranath, Shreyas, Antonescu, Cornel, Chambers-Hawk, Bobbi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805293/
https://www.ncbi.nlm.nih.gov/pubmed/35101129
http://dx.doi.org/10.1186/s13756-022-01057-3
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author Boverman, Gregory
Perez, Christine
Vij, Shruti
Tgavalekos, Kristen
Ravindranath, Shreyas
Antonescu, Cornel
Chambers-Hawk, Bobbi
author_facet Boverman, Gregory
Perez, Christine
Vij, Shruti
Tgavalekos, Kristen
Ravindranath, Shreyas
Antonescu, Cornel
Chambers-Hawk, Bobbi
author_sort Boverman, Gregory
collection PubMed
description BACKGROUND AND OBJECTIVES: There is a need for robust antibiotic stewardship programs (ASPs) in the neonatal population. This study's objectives were to assess neonatal antibiotic use practices over an extended period across an integrated delivery network (IDN), including six Neonatal Intensive Care Units (NICUs), to identify those most successful practices reducing use rates. METHODS: A retrospective cohort study was conducted, including 15,015 NICU admissions from an integrated delivery network, across six hospitals over eight years (50% Level III and 50% Level II) computing antibiotic use rates (AURs) stratified by usage: in the first few days of the stay vs. later in the stay and by gestational age. Several metrics were examined for assumptions of strong correlation with AUR: (1) the percentage of infants given antibiotics early in their stays and (2) durations of courses of antibiotics. RESULTS: Results conclude a wide variation in AURs and trends that these rates followed over time. However, there was a decrease in overall AUR from 15.7–16.6 to 10.1–10.8%, with four of the six NICUs recording statistically significant reductions in AUR vs. their first year of measurement. Specifically, the level III NICUs overall AUR decreases from 15.1–16.22 to 8.6–9.4%, and level II NICUs overall AUR 20.3–24.4 to 14.1–16.1%. A particularly successful level II NICU decreased its AUR from 22.9–30.6 to 5.9–9.4%. CONCLUSION: To our knowledge, this is the first study to utilize data analytics at an IDN level to identify trends in AUR, We have identified practices that allowed an institution to reduce NICU AURs significantly, and which, if done as a standard practice, could be replicated on a broader scale.
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spelling pubmed-88052932022-02-03 Neonatal ICU antibiotic use trends within an integrated delivery network Boverman, Gregory Perez, Christine Vij, Shruti Tgavalekos, Kristen Ravindranath, Shreyas Antonescu, Cornel Chambers-Hawk, Bobbi Antimicrob Resist Infect Control Research BACKGROUND AND OBJECTIVES: There is a need for robust antibiotic stewardship programs (ASPs) in the neonatal population. This study's objectives were to assess neonatal antibiotic use practices over an extended period across an integrated delivery network (IDN), including six Neonatal Intensive Care Units (NICUs), to identify those most successful practices reducing use rates. METHODS: A retrospective cohort study was conducted, including 15,015 NICU admissions from an integrated delivery network, across six hospitals over eight years (50% Level III and 50% Level II) computing antibiotic use rates (AURs) stratified by usage: in the first few days of the stay vs. later in the stay and by gestational age. Several metrics were examined for assumptions of strong correlation with AUR: (1) the percentage of infants given antibiotics early in their stays and (2) durations of courses of antibiotics. RESULTS: Results conclude a wide variation in AURs and trends that these rates followed over time. However, there was a decrease in overall AUR from 15.7–16.6 to 10.1–10.8%, with four of the six NICUs recording statistically significant reductions in AUR vs. their first year of measurement. Specifically, the level III NICUs overall AUR decreases from 15.1–16.22 to 8.6–9.4%, and level II NICUs overall AUR 20.3–24.4 to 14.1–16.1%. A particularly successful level II NICU decreased its AUR from 22.9–30.6 to 5.9–9.4%. CONCLUSION: To our knowledge, this is the first study to utilize data analytics at an IDN level to identify trends in AUR, We have identified practices that allowed an institution to reduce NICU AURs significantly, and which, if done as a standard practice, could be replicated on a broader scale. BioMed Central 2022-01-31 /pmc/articles/PMC8805293/ /pubmed/35101129 http://dx.doi.org/10.1186/s13756-022-01057-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Boverman, Gregory
Perez, Christine
Vij, Shruti
Tgavalekos, Kristen
Ravindranath, Shreyas
Antonescu, Cornel
Chambers-Hawk, Bobbi
Neonatal ICU antibiotic use trends within an integrated delivery network
title Neonatal ICU antibiotic use trends within an integrated delivery network
title_full Neonatal ICU antibiotic use trends within an integrated delivery network
title_fullStr Neonatal ICU antibiotic use trends within an integrated delivery network
title_full_unstemmed Neonatal ICU antibiotic use trends within an integrated delivery network
title_short Neonatal ICU antibiotic use trends within an integrated delivery network
title_sort neonatal icu antibiotic use trends within an integrated delivery network
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805293/
https://www.ncbi.nlm.nih.gov/pubmed/35101129
http://dx.doi.org/10.1186/s13756-022-01057-3
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