Evidence map›Paper›PMID 39853598›Full record

ArticleApplied health economics and health policy2025

Contextual Factors that Influence Antibiotic Prescribing: A Discrete Choice Experiment of GP Registrars.

Gregory Merlo, Lisa Hall, Parker Magin, Amanda Tapley, Katie J Mulquiney, Alison Fielding, Andrew Davey, Joshua Davies, Mieke van Driel

Abstract read
In one paragraph

Article in Applied health economics and health policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Gregory MerloSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia. gregory.merlo@health.qld.gov.au.ORCID 0000-0001-9931-7830
Lisa HallSchool of Public Health, The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0002-9309-9315
Parker MaginGP Synergy, Newcastle, NSW, Australia.ORCID 0000-0001-8071-8749
Amanda TapleyGP Synergy, Newcastle, NSW, Australia.ORCID 0000-0002-1536-5518
Katie J MulquineyGP Synergy, Newcastle, NSW, Australia.ORCID 0000-0002-2380-4787
Alison FieldingGP Synergy, Newcastle, NSW, Australia.ORCID 0000-0001-5884-3068
Andrew DaveyGP Synergy, Newcastle, NSW, Australia.ORCID 0000-0002-7547-779X
Joshua DaviesSchool of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia.
Mieke van DrielGeneral Practice Clinical Unit, Faculty of Clinical Medicine, The University of Queensland, Brisbane, QLD, Australia.ORCID 0000-0003-1711-9553

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAntimicrobial resistance is a global emergency related to overprescribing of antibiotics. Few studies have explored how prescribing behaviours may change as the consequence of changing resistance. Understanding how contextual factors influence antibiotic prescribing will facilitate improved communication strategies to promote appropriate antibiotic prescribing. We aimed to develop and conduct a discrete choice experiment (DCE) to measure how contextual factors influence intended antibiotic prescribing of general practitioner (GP) registrars.

methodsFactors included as attributes in the DCE were level of antibiotic resistance, requirement for an authority to prescribe, existence of a Practice Incentives Program (PIP) for low prescribing and supervisor support for low prescribing. The survey was administered in an online format for GP registrars undergoing training between 2020 and 2021. Regression analysis using a conditional logit model with interaction effects was used on the basis of the assumptions of independence of irrelevant alternatives, independence of error terms and no preference heterogeneity.

resultsIn total, 617 unique respondents answered at least one choice set question. Respondents showed significant preference for avoiding prescribing antibiotics when antibiotic resistance was 25-35% or 40-60% compared with 5-8%. There was also a significant preference for avoiding prescribing when an authority to prescribe was required, or when there was supervisory support of low antibiotic prescribing. In the main effects analysis, respondents were significantly less likely to choose a prescribing option if there was a PIP; however, when interaction effects were included in the regression analysis there was a significant interaction between PIP and resistance rates, but the preference weights for PIP was no longer significant.

conclusionsKnowledge about community resistance impacts the stated intention of GP registrars to prescribe antibiotics. The use of the DCE may have made it possible to determine factors influencing prescribing that would not be detected using other survey methods. These findings provide guidance for producing, explaining and communicating issues regarding antibiotic prescribing to GP registrars.

Indexed as

Anti-Bacterial AgentsGeneral PractitionersPractice Patterns, Physicians'AdultChoice BehaviorFemaleHumansInappropriate PrescribingMaleMiddle AgedSurveys and QuestionnairesAnti-Bacterial Agents

Identifiers

PMID39853598
PMCPMC11811472

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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.