Cargando…

How to measure hospital antibiotic consumption: comparison of two methods from data surveillance in France

BACKGROUND: Antibiotic use (ABU) surveillance in healthcare facilities (HCFs) is essential to guide stewardship. Two methods are recommended: antibiotic consumption (ABC), expressed as the number of DDD/1000 patient-days; and prevalence of antibiotic prescription (ABP) measured through point prevale...

Descripción completa

Detalles Bibliográficos
Autores principales: Stordeur, Florence, Miliani, Katiuska, Lacavé, Ludivine, Rogues, Anne-Marie, Dumartin, Catherine, Alfandari, Serge, Astagneau, Pascal, L’Hériteau, François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210307/
https://www.ncbi.nlm.nih.gov/pubmed/34223016
http://dx.doi.org/10.1093/jacamr/dlaa059
_version_ 1783709284119347200
author Stordeur, Florence
Miliani, Katiuska
Lacavé, Ludivine
Rogues, Anne-Marie
Dumartin, Catherine
Alfandari, Serge
Astagneau, Pascal
L’Hériteau, François
author_facet Stordeur, Florence
Miliani, Katiuska
Lacavé, Ludivine
Rogues, Anne-Marie
Dumartin, Catherine
Alfandari, Serge
Astagneau, Pascal
L’Hériteau, François
author_sort Stordeur, Florence
collection PubMed
description BACKGROUND: Antibiotic use (ABU) surveillance in healthcare facilities (HCFs) is essential to guide stewardship. Two methods are recommended: antibiotic consumption (ABC), expressed as the number of DDD/1000 patient-days; and prevalence of antibiotic prescription (ABP) measured through point prevalence surveys. However, no evidence is provided about whether they lead to similar conclusions. OBJECTIVES: To compare ABC and ABP regarding HCF ranking and their ability to identify outliers. METHODS: The comparison was made using 2012 national databases from the antibiotic surveillance network and prevalence study. HCF rankings according to each method were compared with Spearman’s correlation coefficient. Analyses included the ABU from entire HCFs as well as according to type, clinical ward and by antibiotic class and specific molecule. RESULTS: A total of 1076 HCFs were included. HCF rankings were strongly correlated in the whole cohort. The correlation was stronger for HCFs with a higher number of beds or with a low or moderate proportion of acute care beds. ABU correlation between ABC or ABP was globally moderate or weak in specific wards. Furthermore, the two methods did not identify the same outliers, whichever HCF characteristics were analysed. Correlation between HCF ranking varied according to the antibiotic class. CONCLUSIONS: Both methods ranked HCFs similarly overall according to ABC or ABP; however, major differences were observed in ranking of clinical wards, antibiotic classes and detection of outliers. ABC and ABP are two markers of ABU that could be used as two complementary approaches to identify targets for improvement.
format Online
Article
Text
id pubmed-8210307
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-82103072021-07-02 How to measure hospital antibiotic consumption: comparison of two methods from data surveillance in France Stordeur, Florence Miliani, Katiuska Lacavé, Ludivine Rogues, Anne-Marie Dumartin, Catherine Alfandari, Serge Astagneau, Pascal L’Hériteau, François JAC Antimicrob Resist Original Article BACKGROUND: Antibiotic use (ABU) surveillance in healthcare facilities (HCFs) is essential to guide stewardship. Two methods are recommended: antibiotic consumption (ABC), expressed as the number of DDD/1000 patient-days; and prevalence of antibiotic prescription (ABP) measured through point prevalence surveys. However, no evidence is provided about whether they lead to similar conclusions. OBJECTIVES: To compare ABC and ABP regarding HCF ranking and their ability to identify outliers. METHODS: The comparison was made using 2012 national databases from the antibiotic surveillance network and prevalence study. HCF rankings according to each method were compared with Spearman’s correlation coefficient. Analyses included the ABU from entire HCFs as well as according to type, clinical ward and by antibiotic class and specific molecule. RESULTS: A total of 1076 HCFs were included. HCF rankings were strongly correlated in the whole cohort. The correlation was stronger for HCFs with a higher number of beds or with a low or moderate proportion of acute care beds. ABU correlation between ABC or ABP was globally moderate or weak in specific wards. Furthermore, the two methods did not identify the same outliers, whichever HCF characteristics were analysed. Correlation between HCF ranking varied according to the antibiotic class. CONCLUSIONS: Both methods ranked HCFs similarly overall according to ABC or ABP; however, major differences were observed in ranking of clinical wards, antibiotic classes and detection of outliers. ABC and ABP are two markers of ABU that could be used as two complementary approaches to identify targets for improvement. Oxford University Press 2020-08-11 /pmc/articles/PMC8210307/ /pubmed/34223016 http://dx.doi.org/10.1093/jacamr/dlaa059 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Article
Stordeur, Florence
Miliani, Katiuska
Lacavé, Ludivine
Rogues, Anne-Marie
Dumartin, Catherine
Alfandari, Serge
Astagneau, Pascal
L’Hériteau, François
How to measure hospital antibiotic consumption: comparison of two methods from data surveillance in France
title How to measure hospital antibiotic consumption: comparison of two methods from data surveillance in France
title_full How to measure hospital antibiotic consumption: comparison of two methods from data surveillance in France
title_fullStr How to measure hospital antibiotic consumption: comparison of two methods from data surveillance in France
title_full_unstemmed How to measure hospital antibiotic consumption: comparison of two methods from data surveillance in France
title_short How to measure hospital antibiotic consumption: comparison of two methods from data surveillance in France
title_sort how to measure hospital antibiotic consumption: comparison of two methods from data surveillance in france
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8210307/
https://www.ncbi.nlm.nih.gov/pubmed/34223016
http://dx.doi.org/10.1093/jacamr/dlaa059
work_keys_str_mv AT stordeurflorence howtomeasurehospitalantibioticconsumptioncomparisonoftwomethodsfromdatasurveillanceinfrance
AT milianikatiuska howtomeasurehospitalantibioticconsumptioncomparisonoftwomethodsfromdatasurveillanceinfrance
AT lacaveludivine howtomeasurehospitalantibioticconsumptioncomparisonoftwomethodsfromdatasurveillanceinfrance
AT roguesannemarie howtomeasurehospitalantibioticconsumptioncomparisonoftwomethodsfromdatasurveillanceinfrance
AT dumartincatherine howtomeasurehospitalantibioticconsumptioncomparisonoftwomethodsfromdatasurveillanceinfrance
AT alfandariserge howtomeasurehospitalantibioticconsumptioncomparisonoftwomethodsfromdatasurveillanceinfrance
AT astagneaupascal howtomeasurehospitalantibioticconsumptioncomparisonoftwomethodsfromdatasurveillanceinfrance
AT lheriteaufrancois howtomeasurehospitalantibioticconsumptioncomparisonoftwomethodsfromdatasurveillanceinfrance
AT howtomeasurehospitalantibioticconsumptioncomparisonoftwomethodsfromdatasurveillanceinfrance