Evidence map›Paper›PMID 42203922›Full record

ArticleScientific reports2026

Antibiotic prescriptions in Lombardy Region according to WHO AWaRe classification: trend from 2000 to 2024.

Chiara Elli, Chiara Crippa, Ida Fortino, Alessandro Nobili, Luca Pasina

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chiara ElliDepartment of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy. chiara.elli@marionegri.it.ORCID http://orcid.org/0000-0001-6035-4474
Chiara CrippaDepartment of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Ida FortinoDirectorate General for Health, Lombardy Region, Milano, Italy.
Alessandro NobiliDepartment of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Luca PasinaDepartment of Health Policy, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.

Funding

Regione Lombardia DGR XII/1730
6 · The paper itself

Abstract

Antimicrobial resistance represents a significant threat to public health. The aim of the study was to examine trends in antibiotic prescription in Lombardy and to assess the prevalence and patterns according to the WHO AWaRe classification. This retrospective cohort study was based on healthcare utilization databases from the Lombardy Region, Italy. Residents between 2000 and 2024 who had at least one antibiotic prescription were included. Patients with antibiotic prescription were categorized into the three groups of the WHO AWaRe classification - Access, Watch, and Reserve. To assess temporal trends in the AWaRe classification, we performed a multinomial logistic regression analysis adjusted for sex, age, year and Local Health Services. We recorded more than 148 million antibiotic prescriptions. The total annual prescriptions slightly decreased during the study period and the classes most prescribed were combinations of penicillins (28.5%), macrolides (19.3%) and fluoroquinolones (17.4%).Watch antibiotics accounted for 56.5% of all prescriptions, and Access for 43.5%. An increasing of the proportion of Access prescriptions and a corresponding reduction in the prescription of a Watch antibiotic was observed over time (p < 0.0001). Watch prescriptions varied slightly across local health services, from 54% to 61% of the total prescriptions. Watch antibiotics were prescribed more frequently with increasing age: 41.0% in children, 55.7% in adults, 65.8% in older adults and 71.8% in oldest old. Levels of Access antibiotics remained well below the WHO threshold (60%). Prescribing patterns were largely homogeneous across local health services and appeared to be influenced more by local prescribing practices than by overall antibiotic consumption. Older adults and oldest old were largely exposed to Watch antibiotics, underscoring the need for targeted antimicrobial stewardship strategies in this population. Continued surveillance using the WHO AWaRe framework, monitoring and trend analysis of antibiotic prescriptions may reinforce the optimization and appropriateness of community antibiotic prescribing. Furthermore, it can support clinicians and healthcare policymakers in implementing guidelines aimed at limiting the emergence and spread of antimicrobial resistance.

Indexed as

Anti-Bacterial AgentsDrug PrescriptionsPractice Patterns, Physicians'AdolescentAdultAgedChildChild, PreschoolFemaleHumansItalyMaleMiddle AgedRetrospective StudiesWorld Health OrganizationYoung AdultAnti-Bacterial AgentsAntibiotic useAntimicrobial stewardship strategiesAWaRe classificationHealthcare databaseOlder adults

Identifiers

PMID42203922
PMCPMC13448118

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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.