Evidence map›Paper›PMID 40220024›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2025

AWaRe classification analysis for European countries with ARIMA forecasts to assess prescribing patterns and 'One Health' targets.

Lilly Josephine Bindel, Roland Seifert

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Article in Naunyn-Schmiedeberg's archives of pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Lilly Josephine BindelInstitute of Pharmacology Hannover Medical School, 30625, Hannover, Germany.
Roland SeifertInstitute of Pharmacology Hannover Medical School, 30625, Hannover, Germany. seifert.roland@mh-hannover.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance is a major threat to public health, with a well-established link between antibacterial consumption and bacterial resistance. Stewardship needs to focus on reducing overall consumption and optimising the quality of prescribing. The European Union's 'One Health' approach aims for at least 65% of antibacterial consumption to be in the 'Access' category of the AWaRe framework until 2030. PURPOSE: This study advances the field by shifting the focus from simply quantifying antibacterial consumption to a nuanced assessment of prescribing quality. Prudent and problematic prescribing behaviour is identified in past and projected trends, both for individual countries and European regions. Progress towards the EU's 'One Health' targets for the human sector is assessed and compared with total antibacterial consumption.

methodsThis study analyses data from 1997-2023 and predicts future proportions of AWaRe drug classes for European countries until 2030, using the ARIMA(1,0,1) model. The distribution and changes of the AWaRe groups were analysed to assess prescribing behaviour. Total antibacterial consumption is compared with findings of the 'One Health' targets, and bivariate correlation analyses are performed.

resultsRobust forecast models were developed for the AWaRe classification for 30 European countries. In 2030, the 'Access' group is projected to exceed 65% in Iceland, Denmark, Ireland, Latvia, Finland, France, the Netherlands, Sweden, Lithuania, the United Kingdom, Belgium and Estonia. On the other hand, low shares are expected for Greece (43.8%), Slovakia and Bulgaria (45.9%), Italy (47.3%), Malta (49.9%), Cyprus (50.9%), Hungary (51.8%) and Romania (53.4%). The other 10 countries fall in between, with shares ranging from 56.4% to 64.7%. Of particular concern are Italy, Cyprus and Malta, with low'Access'shares, high consumptions and worsening trends, in contrast to the exemplary performance of Iceland, Norway and Denmark. Germany stands out for its worryingly excessive use of 'Reserve'. Most forecasts were considered reliable, although some showed moderate or poor fit.

conclusionThe findings predict that many European countries are unlikely to meet the EU's 'One Health' target by 2030. Countries with higher'Access'shares and lower total consumption tend to have lower levels of bacterial resistance, while those with high consumption and problematic prescribing patterns face higher levels of resistance. While most Northern European countries are considered to have a prudent use of medicines, problematic use is observed particularly in Southern and Eastern Europe, a practice being apparent across many medicine classes. Regional differences in prescribing patterns highlight the need for tailored interventions. For certain countries, particularly in Northern Europe, the high proportion of unclassified substances suggests that the AWaRe classification may not fully capture the range of antibacterial substances used.

Indexed as

Anti-Bacterial AgentsAntimicrobial StewardshipPractice Patterns, Physicians'Drug PrescriptionsDrug Resistance, BacterialEuropeEuropean UnionForecastingHumansAnti-Bacterial AgentsAMCAMRAntibacterial drugAntibioticAntibiotic prescriptionAntibiotic StewardshipAntimicrobial consumptionARIMAAWaReECDCEUEuropeForecastIrrational prescribing behaviourOne HealthRational prescribing behaviourSurveillance

Identifiers

PMID40220024
PMCPMC12511250

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.