Evidence map›Paper›PMID 40754330›Full record

ArticleBMJ open2025

Interpractice variability in antibiotic prescribing for acute respiratory tract infections: a cross-sectional study of Australian early-career general practitioners.

Alexandria Turner, Mieke L van Driel, Ben Mitchell, Elizabeth Holliday, Josh Davis, Amanda Tapley, Andrew Davey, Anna Ralston, Jason Dizon, Emma Baillie and 5 more

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Alexandria TurnerGeneral Practice Clinical Unit, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0002-8558-5321
Mieke L van DrielGeneral Practice Clinical Unit, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0003-1711-9553
Ben MitchellGeneral Practice Clinical Unit, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.ORCID http://orcid.org/0000-0003-0035-4119
Elizabeth HollidaySchool of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.ORCID http://orcid.org/0000-0002-4066-6224
Josh DavisSchool of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.
Amanda TapleyGP Training Research, Royal Australian College of General Practitioners, Mayfield West, New South Wales, Australia.
Andrew DaveyGP Training Research, Royal Australian College of General Practitioners, Mayfield West, New South Wales, Australia.ORCID http://orcid.org/0000-0002-7547-779X
Anna RalstonGP Training Research, Royal Australian College of General Practitioners, Mayfield West, New South Wales, Australia.
Jason DizonData Sciences, Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.
Emma BaillieGeneral Practice Clinical Unit, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia.
Alison FieldingGP Training Research, Royal Australian College of General Practitioners, Mayfield West, New South Wales, Australia.ORCID http://orcid.org/0000-0001-5884-3068
Katie MulquineyGP Training Research, Royal Australian College of General Practitioners, Mayfield West, New South Wales, Australia.
Lisa ClarkeGP Training Medical Education, Royal Australian College of General Practitioners, Hobart, New South Wales, Australia.
Neil SpikeDepartment of General Practice and Primary Health Care, The University of Melbourne, Carlton, Victoria, Australia.
Parker MaginGP Training Research, Royal Australian College of General Practitioners, Mayfield West, New South Wales, Australia parker.magin@newcastle.edu.au.ORCID http://orcid.org/0000-0001-8071-8749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFrequency of general practitioners' (GPs') antibiotic prescribing for acute, self-limiting respiratory tract infections (aRTIs) is high. The practice environment and culture influence the clinical behaviour, including prescribing behaviour, of GP specialist vocational trainees (registrars). We aimed to assess inter-practice variability in registrars' antibiotic prescribing.

designThis was a cross-sectional analysis from the Registrar Clinical Encounters in Training (ReCEnT) cohort study, from 2010 to 2020.

settingReCEnT documents registrars' clinical experiences and behaviours. Before 2016, 5 of 17 Australian training regions participated in ReCEnT. From 2016, three of nine regions (~40% of Australian registrars) participated.

participants3210 registrars (response rate 91.8%) from 1286 training practices contributed to the analysis. OUTCOME MEASURES: The outcomes were prescription of an antibiotic for new diagnoses of (1) all aRTIs and (2) acute bronchitis diagnoses specifically. Prescribing percentages were calculated at the training practice level. Intraclass correlation coefficients (ICCs) were used to measure the ratio of interpractice variation to total variance. Median ORs (MORs) were also estimated to quantify interpractice variability.

resultsPractice-level antibiotic prescribing percentages ranged from 0% to 100% for both aRTIs and acute bronchitis diagnoses in the primary analysis. ICCs for aRTI prescribing were 0.08 (unadjusted) and 0.02 (adjusted). For acute bronchitis, ICCs were 0.10 (unadjusted) and 0.05 (adjusted). MORs were 1.66 (unadjusted) and 1.32 (adjusted) for aRTIs. MORs for acute bronchitis were 1.80 (unadjusted) and 1.53 (adjusted). This indicates a marked variation in the odds of a patient receiving antibiotics for an aRTI if randomly attending different practices.

conclusionsThere was considerable interpractice variation in registrars' antibiotic prescribing frequencies. Further research is required to examine the factors accounting for this variation and to develop practice-level interventions to reduce antibiotic prescribing in high-prescribing practices.

Indexed as

Anti-Bacterial AgentsDrug PrescriptionsGeneral PractitionersPractice Patterns, Physicians'Respiratory Tract InfectionsAcute DiseaseAdultAustraliaCross-Sectional StudiesFemaleHumansMaleAnti-Bacterial AgentsAntibioticsMEDICAL EDUCATION & TRAININGPrimary CareRespiratory infections

Identifiers

PMID40754330
PMCPMC12320071

What OpenQuestion holds

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LicenceCC BY
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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.