Evidence map›Paper›PMID 34354310›Full record

ArticleBulletin of the World Health Organization2021

Progress towards antibiotic use targets in eight high-income countries.

Bryony Simmons, Koya Ariyoshi, Norio Ohmagari, Celine Pulcini, Benedikt Huttner, Sumanth Gandra, Giovanni Satta, Lorenzo Moja, Michael Sharland, Nicola Magrini and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 27 citations in OpenAlex.

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  6. Patterns of antimicrobial use in Qatar's hospitals: Results from the first national point prevalence survey.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
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  10. Global trends in antibiotic consumption during 2016-2023 and future projections through 2030.Proceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 7 institutions in 5 countries.

Bryony SimmonsDepartment of Infectious Disease, Imperial College London, London W2 1NY, England.
Koya AriyoshiInstitute of Tropical Medicine, Nagasaki University, Nagasaki, Japan.
Norio OhmagariDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Celine PulciniAPEMAC, University of Lorraine, Nancy, France.
Benedikt HuttnerHealth Products Policy and Standards, World Health Organization, Geneva, Switzerland.
Sumanth GandraWashington University School of Medicine, Washington University in St. Louis, St. Louis, United States of America.
Giovanni SattaDepartment of Infectious Disease, Imperial College London, London W2 1NY, England.
Lorenzo MojaHealth Products Policy and Standards, World Health Organization, Geneva, Switzerland.
Michael SharlandInstitute of Infection and Immunity, St George's University, London, England.
Nicola MagriniHealth Products Policy and Standards, World Health Organization, Geneva, Switzerland.
Marisa MiraldoDepartment of Economics and Public Policy & Centre for Health Economics and Policy Innovation, Imperial College Business School, London, England.
Graham CookeDepartment of Infectious Disease, Imperial College London, London W2 1NY, England.
Imperial College London · GBWorld Health Organization · CHInterdisciplinarité en Santé Publique Interventions et Instruments de mesure complexes – Région Est · FRNagasaki University · JPNational Center for Global Health and Medicine · JPSt George's, University of London · GBWashington University in St. Louis · US

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectiveTo compare antibiotic sales in eight high-income countries using the 2019 World Health Organization (WHO) Access, Watch and Reserve (AWaRe) classification and the target of 60% consumption of Access category antibiotics.

methodsWe analysed data from a commercial database of sales of systemic antibiotics in France, Germany, Italy, Japan, Spain, Switzerland, United Kingdom of Great Britain and Northern Ireland, and United States of America over the years 2013-2018. We classified antibiotics according to the 2019 AWaRe categories: Access, Watch, Reserve and Not Recommended. We measured antibiotic sales per capita in standard units (SU) per capita and calculated Access group sales as a percentage of total antibiotic sales.

findingsIn 2018, per capita antibiotic sales ranged from 7.4 SU (Switzerland) to 20.0 SU (France); median sales of Access group antibiotics were 10.9 SU per capita (range: 3.5-15.0). Per capita sales declined moderately over 2013-2018. The median percentage of Access group antibiotics was 68% (range: 22-77 %); the Access group proportion increased in most countries between 2013 and 2018. Five countries exceeded the 60% target; two countries narrowly missed it (> 55% in Germany and Italy). Sales of Access antibiotics in Japan were low (22%), driven by relatively high sales of oral cephalosporins and macrolides.

conclusionWe have identified changes to prescribing that could allow countries to achieve the WHO target. The 60% Access group target provides a framework to inform national antibiotic policies and could be complemented by absolute measures and more ambitious values in specific settings.

Indexed as

CommerceAnti-Bacterial AgentsDeveloped CountriesDrug MonitoringEuropeHumansState MedicineUnited StatesWorld Health OrganizationAnti-Bacterial Agents

Identifiers

PMID34354310
PMCPMC8319863
OpenAlexW3189988486

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.