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A few antibiotics can represent the total hospital antibiotic consumption
BACKGROUND: Appropriate antibiotic use has become an important issue. However, collecting data on the use of all antibiotics in a hospital is difficult without an advanced computerized system and dedicated staff. This paper examines if 1–3 antibiotics can satisfactorily represent the total antibioti...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984315/ https://www.ncbi.nlm.nih.gov/pubmed/29855273 http://dx.doi.org/10.1186/s12879-018-3132-7 |
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author | Kim, Bongyoung Hwang, Hyeonjun Kim, Jieun Lee, Myoung-jae Pai, Hyunjoo |
author_facet | Kim, Bongyoung Hwang, Hyeonjun Kim, Jieun Lee, Myoung-jae Pai, Hyunjoo |
author_sort | Kim, Bongyoung |
collection | PubMed |
description | BACKGROUND: Appropriate antibiotic use has become an important issue. However, collecting data on the use of all antibiotics in a hospital is difficult without an advanced computerized system and dedicated staff. This paper examines if 1–3 antibiotics can satisfactorily represent the total antibiotic consumption at the hospital level. METHODS: We collected antibiotic data from six large university hospitals in Korea for some years between 2004 and 2012. Since the total antibiotics consist of a few chosen representative antibiotics and the rest, we used those chosen antibiotics along with additional variables constructed only with t (time) such as t, t(2), and t(3) to capture the time trend and whether t belongs to each month or not to capture the monthly variations. The ordinary least squares method was used to explain the total antibiotic amount with these variables, and then the estimated model was employed to predict the use for 2013. To determine which antibiotics were the most representative in tracking general trends in antibiotic use over time, we tried various combinations of antibiotics to find the combination that best minimized the 2013 prediction error. RESULTS: We found that fluoroquinolones and aminoglycosides were the most representative, followed by beta-lactam/beta-lactamase inhibitors and 4th-generation and 3rd-generation cephalosporins. The mean prediction error over 12 months in 2013 with these few antibiotics was only 1–3% of the monthly antibiotic consumption amount. CONCLUSIONS: The total antibiotic consumption amount at the hospital level can be represented sufficiently by a few antibiotics, such as fluoroquinolones and aminoglycosides, which means that hospitals can save resources by tracing only the usage of those few antibiotics instead of the entire inventory. Since the choice of fluoroquinolones and aminoglycosides is based solely on our Korean data, other hospitals may follow the same modelling methodology to find their own representative antibiotics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3132-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5984315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59843152018-06-07 A few antibiotics can represent the total hospital antibiotic consumption Kim, Bongyoung Hwang, Hyeonjun Kim, Jieun Lee, Myoung-jae Pai, Hyunjoo BMC Infect Dis Research Article BACKGROUND: Appropriate antibiotic use has become an important issue. However, collecting data on the use of all antibiotics in a hospital is difficult without an advanced computerized system and dedicated staff. This paper examines if 1–3 antibiotics can satisfactorily represent the total antibiotic consumption at the hospital level. METHODS: We collected antibiotic data from six large university hospitals in Korea for some years between 2004 and 2012. Since the total antibiotics consist of a few chosen representative antibiotics and the rest, we used those chosen antibiotics along with additional variables constructed only with t (time) such as t, t(2), and t(3) to capture the time trend and whether t belongs to each month or not to capture the monthly variations. The ordinary least squares method was used to explain the total antibiotic amount with these variables, and then the estimated model was employed to predict the use for 2013. To determine which antibiotics were the most representative in tracking general trends in antibiotic use over time, we tried various combinations of antibiotics to find the combination that best minimized the 2013 prediction error. RESULTS: We found that fluoroquinolones and aminoglycosides were the most representative, followed by beta-lactam/beta-lactamase inhibitors and 4th-generation and 3rd-generation cephalosporins. The mean prediction error over 12 months in 2013 with these few antibiotics was only 1–3% of the monthly antibiotic consumption amount. CONCLUSIONS: The total antibiotic consumption amount at the hospital level can be represented sufficiently by a few antibiotics, such as fluoroquinolones and aminoglycosides, which means that hospitals can save resources by tracing only the usage of those few antibiotics instead of the entire inventory. Since the choice of fluoroquinolones and aminoglycosides is based solely on our Korean data, other hospitals may follow the same modelling methodology to find their own representative antibiotics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12879-018-3132-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-31 /pmc/articles/PMC5984315/ /pubmed/29855273 http://dx.doi.org/10.1186/s12879-018-3132-7 Text en © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Kim, Bongyoung Hwang, Hyeonjun Kim, Jieun Lee, Myoung-jae Pai, Hyunjoo A few antibiotics can represent the total hospital antibiotic consumption |
title | A few antibiotics can represent the total hospital antibiotic consumption |
title_full | A few antibiotics can represent the total hospital antibiotic consumption |
title_fullStr | A few antibiotics can represent the total hospital antibiotic consumption |
title_full_unstemmed | A few antibiotics can represent the total hospital antibiotic consumption |
title_short | A few antibiotics can represent the total hospital antibiotic consumption |
title_sort | few antibiotics can represent the total hospital antibiotic consumption |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5984315/ https://www.ncbi.nlm.nih.gov/pubmed/29855273 http://dx.doi.org/10.1186/s12879-018-3132-7 |
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