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

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-05-27
DOI
https://doi.org/10.1038/s41598-026-55517-6
Primary Topic
Antibiotic Use and Resistance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Chiara Elli, Luca Pasina, Ida Fortino, Chiara Crippa et al.
Scientific Reports
Antibiotic Use and Resistance
article

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

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

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.

Scientific Reports
Mario Negri Institute for Pharmacological Research (IT), Ministero della Salute (IT), Regione Lombardia
Istituto di Ricerche Farmacologiche Mario Negri - IRCCS, Regione Lombardia
Zero hunger
Openalex Percentile: Top 7%
Antibiotic Use and Resistance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.