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Socio-economic, governance and health indicators shaping antimicrobial resistance: an ecological analysis of 30 european countries

BACKGROUND: Previous evidence shows that antibiotic use and antimicrobial resistance (AMR) spread are not always perfectly correlated within and between countries. We conducted an ecological analysis to evaluate how demographic, economic, governance, health, and freedom characteristics of 30 Europea...

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Autores principales: Maugeri, Andrea, Barchitta, Martina, Puglisi, Federico, Agodi, Antonella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951828/
https://www.ncbi.nlm.nih.gov/pubmed/36829210
http://dx.doi.org/10.1186/s12992-023-00913-0
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author Maugeri, Andrea
Barchitta, Martina
Puglisi, Federico
Agodi, Antonella
author_facet Maugeri, Andrea
Barchitta, Martina
Puglisi, Federico
Agodi, Antonella
author_sort Maugeri, Andrea
collection PubMed
description BACKGROUND: Previous evidence shows that antibiotic use and antimicrobial resistance (AMR) spread are not always perfectly correlated within and between countries. We conducted an ecological analysis to evaluate how demographic, economic, governance, health, and freedom characteristics of 30 European countries contribute to antibiotic consumption and AMR. METHODS: Using three sources of data (World Bank DataBank, ECDC atlas, and the ESAC-Net database), we created a dataset of: 22 indicators of demographics, health, economic, governance, and freedom; AMR proportions for 25 combinations of pathogens and antibiotics; consumption of antibiotics in the community. We also computed five indexes of demographic, health, economic, governance, and freedom, and an aggregate AMR measure. Relationships between indexes, antibiotic consumption, and AMR proportions were explored using bivariate, multivariable, multivariate, and mediation analyses. RESULTS: Multivariate analysis identified three clusters of countries that mainly differed for demographic, health, governance, and freedom indexes. AMR proportion was lower in countries with better indexes (p < 0.001), but not necessarily with lower antibiotic consumption. In multivariable models including all five indexes, an increase in the governance index resulted in significant decreases of overall antibiotic consumption (p < 0.001) and AMR proportion (p = 0.006). Mediation analysis showed that the governance index had an indirect effect on AMR via reducing antibiotic consumption, which accounted only for 31.5% of the total effect. CONCLUSIONS: These findings could be – at least partially – explained by the contagion theory, for which other factors contribute to high levels of AMR in countries with poor governance. As a result of this evidence, reducing antibiotic use alone is unlikely to solve the AMR problem, and more interventions are needed to increase governance efficiency at global level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12992-023-00913-0.
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spelling pubmed-99518282023-02-24 Socio-economic, governance and health indicators shaping antimicrobial resistance: an ecological analysis of 30 european countries Maugeri, Andrea Barchitta, Martina Puglisi, Federico Agodi, Antonella Global Health Research BACKGROUND: Previous evidence shows that antibiotic use and antimicrobial resistance (AMR) spread are not always perfectly correlated within and between countries. We conducted an ecological analysis to evaluate how demographic, economic, governance, health, and freedom characteristics of 30 European countries contribute to antibiotic consumption and AMR. METHODS: Using three sources of data (World Bank DataBank, ECDC atlas, and the ESAC-Net database), we created a dataset of: 22 indicators of demographics, health, economic, governance, and freedom; AMR proportions for 25 combinations of pathogens and antibiotics; consumption of antibiotics in the community. We also computed five indexes of demographic, health, economic, governance, and freedom, and an aggregate AMR measure. Relationships between indexes, antibiotic consumption, and AMR proportions were explored using bivariate, multivariable, multivariate, and mediation analyses. RESULTS: Multivariate analysis identified three clusters of countries that mainly differed for demographic, health, governance, and freedom indexes. AMR proportion was lower in countries with better indexes (p < 0.001), but not necessarily with lower antibiotic consumption. In multivariable models including all five indexes, an increase in the governance index resulted in significant decreases of overall antibiotic consumption (p < 0.001) and AMR proportion (p = 0.006). Mediation analysis showed that the governance index had an indirect effect on AMR via reducing antibiotic consumption, which accounted only for 31.5% of the total effect. CONCLUSIONS: These findings could be – at least partially – explained by the contagion theory, for which other factors contribute to high levels of AMR in countries with poor governance. As a result of this evidence, reducing antibiotic use alone is unlikely to solve the AMR problem, and more interventions are needed to increase governance efficiency at global level. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12992-023-00913-0. BioMed Central 2023-02-24 /pmc/articles/PMC9951828/ /pubmed/36829210 http://dx.doi.org/10.1186/s12992-023-00913-0 Text en © The Author(s) 2023 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
Maugeri, Andrea
Barchitta, Martina
Puglisi, Federico
Agodi, Antonella
Socio-economic, governance and health indicators shaping antimicrobial resistance: an ecological analysis of 30 european countries
title Socio-economic, governance and health indicators shaping antimicrobial resistance: an ecological analysis of 30 european countries
title_full Socio-economic, governance and health indicators shaping antimicrobial resistance: an ecological analysis of 30 european countries
title_fullStr Socio-economic, governance and health indicators shaping antimicrobial resistance: an ecological analysis of 30 european countries
title_full_unstemmed Socio-economic, governance and health indicators shaping antimicrobial resistance: an ecological analysis of 30 european countries
title_short Socio-economic, governance and health indicators shaping antimicrobial resistance: an ecological analysis of 30 european countries
title_sort socio-economic, governance and health indicators shaping antimicrobial resistance: an ecological analysis of 30 european countries
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951828/
https://www.ncbi.nlm.nih.gov/pubmed/36829210
http://dx.doi.org/10.1186/s12992-023-00913-0
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