Evidence map›Paper›PMID 30814052›Full record

ArticleBMJ (Clinical research ed.)2019

Duration of antibiotic treatment for common infections in English primary care: cross sectional analysis and comparison with guidelines.

Koen B Pouwels, Susan Hopkins, Martin J Llewelyn, Ann Sarah Walker, Cliodna Am McNulty, Julie V Robotham

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in BMJ (Clinical research ed.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 4 pooled it
12.2field-weighted citation impact, top 1% 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

63 citing papers in PubMed, 4 syntheses or guidelines pooled it, 125 citations in OpenAlex.

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  8. Ethics of Antibiotic Course Duration: Shorter is Better.The American journal of bioethics : AJOB · 2026
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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Koen B PouwelsModelling and Economics Unit, National Infection Service, Public Health England, London NW9 5EQ, UK k.b.pouwels@gmail.com.ORCID 0000-0001-7097-8950
Susan HopkinsHealthcare-Associated Infection and Antimicrobial Resistance Department, National Infection Service, Public Health England, London, UK.
Martin J LlewelynDepartment of Global Health and Infection, Brighton and Sussex Medical School, Falmer, Brighton, UK.
Ann Sarah WalkerNational Institute for Health Research Health Protection Research Unit on Healthcare Associated Infections and Antimicrobial Resistance, Oxford, UK.
Cliodna Am McNultyPublic Health England Primary Care Unit, Microbiology Department, Gloucestershire Royal Hospital, Gloucester, UK.
Julie V RobothamModelling and Economics Unit, National Infection Service, Public Health England, London NW9 5EQ, UK.
Public Health England · GBBrighton and Sussex Medical School · GBNational Institute for Health Research · GBRoyal Free London NHS Foundation Trust · GBUniversity Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the duration of prescriptions for antibiotic treatment for common infections in English primary care and to compare this with guideline recommendations.

designCross sectional study.

settingGeneral practices contributing to The Health Improvement Network database, 2013-15.

participants931 015 consultations that resulted in an antibiotic prescription for one of several indications: acute sinusitis, acute sore throat, acute cough and bronchitis, pneumonia, acute exacerbation of chronic obstructive pulmonary disease (COPD), acute otitis media, acute cystitis, acute prostatitis, pyelonephritis, cellulitis, impetigo, scarlet fever, and gastroenteritis.

main outcome measuresThe main outcomes were the percentage of antibiotic prescriptions with a duration exceeding the guideline recommendation and the total number of days beyond the recommended duration for each indication.

resultsThe most common reasons for antibiotics being prescribed were acute cough and bronchitis (386 972, 41.6% of the included consultations), acute sore throat (239 231, 25.7%), acute otitis media (83 054, 8.9%), and acute sinusitis (76 683, 8.2%). Antibiotic treatments for upper respiratory tract indications and acute cough and bronchitis accounted for more than two thirds of the total prescriptions considered, and 80% or more of these treatment courses exceeded guideline recommendations. Notable exceptions were acute sinusitis, where only 9.6% (95% confidence interval 9.4% to 9.9%) of prescriptions exceeded seven days and acute sore throat where only 2.1% (2.0% to 2.1%) exceeded 10 days (recent guidance recommends five days). More than half of the antibiotic prescriptions were for longer than guidelines recommend for acute cystitis among females (54.6%, 54.1% to 55.0%). The percentage of antibiotic prescriptions exceeding the recommended duration was lower for most non-respiratory infections. For the 931 015 included consultations resulting in antibiotic prescriptions, about 1.3 million days were beyond the durations recommended by guidelines.

conclusionFor most common infections treated in primary care, a substantial proportion of antibiotic prescriptions have durations exceeding those recommended in guidelines. Substantial reductions in antibiotic exposure can be accomplished by aligning antibiotic prescription durations with guidelines.

Indexed as

Acute DiseaseAnti-Bacterial AgentsBacterial InfectionsCross-Sectional StudiesDatabases, FactualDrug Administration ScheduleDrug PrescriptionsEnglandFemaleGuideline AdherenceHumansMalePractice Guidelines as TopicPractice Patterns, Physicians'Primary Health CareTime FactorsAnti-Bacterial Agents

Identifiers

PMID30814052
PMCPMC6391655
OpenAlexW2917481668

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.