Evidence map›Paper›PMID 39824603›Full record

ArticleBJGP open2025

The effect of a GP's perception of a patient request for antibiotics on antibiotic prescribing for respiratory tract infections: secondary analysis of a point-prevalence audit survey in 18 European countries.

Julie Domen, Rune Aabenhus, Anca Balan, Emily Bongard, Femke Böhmer, Valerija Bralić Lang, Pascale Bruno, Slawomir Chlabicz, Annelies Colliers, Ana García-Sangenís and 14 more

Abstract read
In one paragraph

Article in BJGP open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. The microbiome in mind: Reflections on antibiotic prescription in primary care.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025
    Article
  7. Article
  8. Article
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

24 authors.

Julie DomenDepartment of Family Medicine & Population Health, Belgium, University of Antwerp, Antwerp Julie.Domen@uantwerpen.be.
Rune AabenhusDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Anca BalanBALAN MEDFAM SRL, Cluj Napoca, Romania.
Emily BongardDepartment of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Femke BöhmerInstitute of General Practice, Rostock University Medical Center, Rostock, Germany.
Valerija Bralić LangDepartment of Family Medicine, "Andrija Stampar" School of Public Health, School of Medicine, University of Zagreb, Zagreb, Croatia.
Pascale BrunoDépartement de Santé Publique, France, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, Nice.ORCID https://orcid.org/0000-0002-8022-114X
Slawomir ChlabiczDepartment of Family Medicine, Medical University of Bialystok, Bialystok, Poland.
Annelies ColliersDepartment of Family Medicine & Population Health, Belgium, University of Antwerp, Antwerp.
Ana García-SangenísInstitut Universitari d'Investigació en Atenció Primària Jordi Gol (IDIAP Jordi Gol), Barcelona, Spain.
Hrachuhi GhazaryanWigmore clinic, Yerevan and Yerevan State Medical University, Armenia, Yerevan.
Anna KowalczykCentre for Family and Community Medicine, Faculty of Health Sciences, Medical University of Lodz, Lodz, Poland.ORCID https://orcid.org/0000-0002-7524-2085
Siri JensenThe Antibiotic Centre for Primary Care, Department of General Practice, University of Oslo, Oslo, Norway.
Christos LionisClinic of Social and Family Medicine, School of Medicine, University of Crete, Heraklion, Greece.
Tycho M van der LindeJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Netherlands, Utrecht.
Lile MalaniaNational Center for Disease Control and Public Health, Tbilisi and Arner Science Management LLC, Tbilisi, Georgia.
Jozsef PauerDRC Drug Research Centre, Balatonfüred, Hungary.
Angela TomacinschiiUniversity Clinic of Primary Medical Assistance of State University of Medicine and Pharmacy "N. Testemițanu", Chişinǎu, Moldova.
Akke VellingaSchool of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.ORCID https://orcid.org/0000-0002-6583-4300
Ihor ZastavnyyNGO "Academy of Family Medicine of Ukraine", Lviv, Ukraine.
Herman GoossensLaboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
Christopher C ButlerDepartment of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Alike W van der VeldenJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Netherlands, Utrecht.ORCID https://orcid.org/0000-0002-9443-2837
Samuel CoenenDepartment of Family Medicine & Population Health, Belgium, University of Antwerp, Antwerp.ORCID https://orcid.org/0000-0002-1238-8052

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIllness severity, comorbidity, fever, age, and symptom duration influence antibiotic prescribing for respiratory tract infections (RTI). Non-medical determinants, such as patient expectations, also impact prescribing.

aimTo quantify the effect of a GP's perception of a patient request for antibiotics on antibiotic prescribing for RTI and investigate effect modification by medical determinants and country. DESIGN &

settingProspective audit of general practices in 18 European countries.

methodConsultation data were registered of 4982 patients presenting with acute cough and/or sore throat. A mixed-effect logistic regression model analysed the effect of GPs' perceptions of a patient request for antibiotics. Two-way interaction terms assessed effect modification. Relevant clinical findings were added to subgroups of lower RTI (LRTI), throat infection, and influenza-like-illness (ILI).

resultsA GP's perception of a request for antibiotics meant they were four times more likely to prescribe antibiotics (odds ratio [OR] 4.4, 95% confidence interval [CI] = 3.4 to 5.5). This effect varied by country: lower in Spain (OR 0.06), Ukraine (OR 0.15), and Greece (OR 0.22) compared with the lowest prescribing country. The effect was higher for ILI (OR 13.86, 95% CI = 5.5 to 35) and throat infection (OR 5.1, 95% CI = 3.1 to 8.4) than for LRTI (OR 2.9, 95% CI = 1.9 to 4.3). For ILI and LRTI, GPs were more likely to prescribe antibiotics with abnormal lung auscultation and/or increased or purulent sputum and for throat infection, with tonsillar exudate and/or swollen tonsils.

conclusionGPs' perceptions of an antibiotic request and specific clinical findings influence antibiotic prescribing. Incorporating exploration of patient expectations, point-of-care testing, and discussing watchful waiting into the decision-making process will benefit appropriate prescribing of antibiotics.

Indexed as

antibioticsgeneral practitionersprimary health carerespiratory tract infections

Identifiers

PMID39824603
PMCPMC12421272

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.