Evidence map›Paper›PMID 39284621›Full record

ArticleBJGP open2025

Developing a data-enabled nudge intervention for childhood antibiotics in primary care: a qualitative study.

Oliver Van Hecke, Aleksandra Borek, Christopher Butler, Sarah Tonkin-Crine

Abstract read
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Article in BJGP 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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Oliver Van HeckeDepartment of Public Health and Primary Care, Ghent University, Ghent, Belgium oliver.vanhecke@ugent.be.
Aleksandra BorekNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-6029-5291
Christopher ButlerNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Sarah Tonkin-CrineNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-4470-1151

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreschool children (aged ≤5 years) have the highest antibiotic prescribing rate in general practice, mostly for self-limiting acute respiratory tract infections (RTIs). Research from >250 000 UK children suggests that a child's antibiotic history for RTI may be a good predictor for re-consulting a health professional for the same illness episode and increased clinical workload.

aimTo develop a data-enabled nudge intervention to optimise antibiotic prescribing for acute RTI based on a child's antibiotic history in general practice. DESIGN &

settingTwo-phase qualitative study with parents or carers of preschool children and primary care clinicians in England.

methodIn phase 1, through an initial focus group with eight parents or carers and 'think-aloud' interviews with 11 clinicians, we co-designed the intervention (computer-screen prompt and personalised consultation leaflet). In phase 2, 13 clinicians used the intervention, integrated into the GP computer software, and shared their feedback through 'think-aloud' interviews. Interviews were audio-recorded, transcribed, and analysed thematically.

resultsWe co-created a data-driven intervention that automatically integrates a child's antibiotic history for acute RTI and personalised leaflet into the electronic medical records. We found that parents and clinicians found this intervention, in principle, acceptable and feasible to use in primary care consultations. GP participants reflected on the prompt's novelty and its usefulness of taking stock of the number of antibiotic prescriptions a child has had in the past year.

conclusionDelivering such interventions, integrated into practice workflow, could be efficiently scaled up to promote effective antimicrobial stewardship and reduce unnecessary antibiotic use in primary care. Further research will test this intervention in a future trial.

Indexed as

antibiotic prescribingchild healthelectronic medical recordsprimary carerespiratory illness

Identifiers

PMID39284621
PMCPMC12138008

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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.