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Detecting inappropriate total duration of antimicrobial therapy using semi-automated surveillance
OBJECTIVES: Evaluation of the appropriateness of the duration of antimicrobial treatment is a cornerstone of antibiotic stewardship programs, but it is time-consuming. Furthermore, it is often restricted to antibiotics prescribed during hospital admission. This study aimed to determine whether manda...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9426230/ https://www.ncbi.nlm.nih.gov/pubmed/36038925 http://dx.doi.org/10.1186/s13756-022-01147-2 |
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author | van den Broek, Annemieke K. de la Court, Jara R. Groot, Thomas van Hest, Reinier M. Visser, Caroline E. Sigaloff, Kim C. E. Schade, Rogier P. Prins, Jan M. |
author_facet | van den Broek, Annemieke K. de la Court, Jara R. Groot, Thomas van Hest, Reinier M. Visser, Caroline E. Sigaloff, Kim C. E. Schade, Rogier P. Prins, Jan M. |
author_sort | van den Broek, Annemieke K. |
collection | PubMed |
description | OBJECTIVES: Evaluation of the appropriateness of the duration of antimicrobial treatment is a cornerstone of antibiotic stewardship programs, but it is time-consuming. Furthermore, it is often restricted to antibiotics prescribed during hospital admission. This study aimed to determine whether mandatory prescription-indication registration at the moment of prescribing antibiotics enables reliable automated assessment of the duration of antibiotic therapy, including post-discharge duration, limiting the need for manual chart review to data validation. METHODS: Antibiotic prescription and admission data, from 1-6-2020 to 31-12-2021, were electronically extracted from the Electronic Medical Record of two hospitals using mandatory indication registration. All consecutively prescribed antibiotics of adult patients who received empiric therapy in the first 24 h of admission were merged to calculate the total length of therapy (LOT) per patient, broken down per registered indication. Endpoints were the accuracy of the data, evaluated by comparing the extracted LOT and registered indication with the clinical notes in 400 randomly selected records, and guideline adherence of treatment duration. Data were analysed using a reproducible syntax, allowing semi-automated surveillance. RESULTS: A total of 3,466 antibiotic courses were analysed. LOT was accurately retrieved in 96% of the 400 evaluated antibiotic courses. The registered indication did not match chart review in 17% of antibiotic courses, of which only half affected the assessment of guideline adherence. On average, in 44% of patients treatment was continued post-discharge, accounting for 60% (± 19%) of their total LOT. Guideline adherence ranged from 26 to 75% across indications. CONCLUSIONS: Mandatory prescription-indication registration data can be used to reliably assess total treatment course duration, including post-discharge antibiotic duration, allowing semi-automated surveillance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13756-022-01147-2. |
format | Online Article Text |
id | pubmed-9426230 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-94262302022-08-31 Detecting inappropriate total duration of antimicrobial therapy using semi-automated surveillance van den Broek, Annemieke K. de la Court, Jara R. Groot, Thomas van Hest, Reinier M. Visser, Caroline E. Sigaloff, Kim C. E. Schade, Rogier P. Prins, Jan M. Antimicrob Resist Infect Control Research OBJECTIVES: Evaluation of the appropriateness of the duration of antimicrobial treatment is a cornerstone of antibiotic stewardship programs, but it is time-consuming. Furthermore, it is often restricted to antibiotics prescribed during hospital admission. This study aimed to determine whether mandatory prescription-indication registration at the moment of prescribing antibiotics enables reliable automated assessment of the duration of antibiotic therapy, including post-discharge duration, limiting the need for manual chart review to data validation. METHODS: Antibiotic prescription and admission data, from 1-6-2020 to 31-12-2021, were electronically extracted from the Electronic Medical Record of two hospitals using mandatory indication registration. All consecutively prescribed antibiotics of adult patients who received empiric therapy in the first 24 h of admission were merged to calculate the total length of therapy (LOT) per patient, broken down per registered indication. Endpoints were the accuracy of the data, evaluated by comparing the extracted LOT and registered indication with the clinical notes in 400 randomly selected records, and guideline adherence of treatment duration. Data were analysed using a reproducible syntax, allowing semi-automated surveillance. RESULTS: A total of 3,466 antibiotic courses were analysed. LOT was accurately retrieved in 96% of the 400 evaluated antibiotic courses. The registered indication did not match chart review in 17% of antibiotic courses, of which only half affected the assessment of guideline adherence. On average, in 44% of patients treatment was continued post-discharge, accounting for 60% (± 19%) of their total LOT. Guideline adherence ranged from 26 to 75% across indications. CONCLUSIONS: Mandatory prescription-indication registration data can be used to reliably assess total treatment course duration, including post-discharge antibiotic duration, allowing semi-automated surveillance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13756-022-01147-2. BioMed Central 2022-08-29 /pmc/articles/PMC9426230/ /pubmed/36038925 http://dx.doi.org/10.1186/s13756-022-01147-2 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 van den Broek, Annemieke K. de la Court, Jara R. Groot, Thomas van Hest, Reinier M. Visser, Caroline E. Sigaloff, Kim C. E. Schade, Rogier P. Prins, Jan M. Detecting inappropriate total duration of antimicrobial therapy using semi-automated surveillance |
title | Detecting inappropriate total duration of antimicrobial therapy using semi-automated surveillance |
title_full | Detecting inappropriate total duration of antimicrobial therapy using semi-automated surveillance |
title_fullStr | Detecting inappropriate total duration of antimicrobial therapy using semi-automated surveillance |
title_full_unstemmed | Detecting inappropriate total duration of antimicrobial therapy using semi-automated surveillance |
title_short | Detecting inappropriate total duration of antimicrobial therapy using semi-automated surveillance |
title_sort | detecting inappropriate total duration of antimicrobial therapy using semi-automated surveillance |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9426230/ https://www.ncbi.nlm.nih.gov/pubmed/36038925 http://dx.doi.org/10.1186/s13756-022-01147-2 |
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