Evidence map›Paper›PMID 29281974›Full record

ArticleBMC medical research methodology2017

Development of an intervention to reduce antibiotic use for childhood coughs in UK primary care using critical synthesis of multi-method research.

Patricia J Lucas, Jenny Ingram, Niamh M Redmond, Christie Cabral, Sophie L Turnbull, Alastair D Hay

Open access · goldAbstract read
In one paragraph

Article in BMC medical research methodology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Implementation of the CHIldren with acute COugh (CHICO) intervention to improve antibiotics management: a qualitative study in primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
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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

6 authors at 2 institutions in 1 country.

Patricia J LucasSchool for Policy Studies, University of Bristol, 8 Priory Rd, Bristol, UK. Patricia.lucas@bristol.ac.uk.
Jenny IngramCentre for Child and Adolescent Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Niamh M RedmondNational Institute for Health Research Collaborations for Leadership in Applied Health Research and Care West (NIHR CLAHRC West), University Hospitals Bristol NHS Foundation Trust, Bristol, UK.
Christie CabralCentre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Sophie L TurnbullCentre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Alastair D HayCentre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
University of Bristol · GBUniversity Hospitals Bristol NHS Foundation Trust · GB

Funding

Department of Health CDF-2009-02-10Department of Health RP-PG-0608-10018Programme Grants for Applied Research RP-PG-0608-10018
6 · The paper itself

Abstract

backgroundOveruse of antibiotics contributes to the global threat of antimicrobial resistance. Antibiotic stewardship interventions address this threat by reducing the use of antibiotics in occasions or doses unlikely to be effective. We aimed to develop an evidence-based, theory-informed, intervention to reduce antibiotic prescriptions in primary care for childhood respiratory tract infections (RTI). This paper describes our methods for doing so.

methodsGreen and Krueter's Precede/Proceed logic model was used as a framework to integrate findings from a programme of research including 5 systematic reviews, 3 qualitative studies, and 1 cohort study. The model was populated using a strength of evidence approach, and developed with input from stakeholders including clinicians and parents.

resultsThe synthesis produced a series of evidence-based statements summarizing the quantitative and qualitative evidence for intervention elements most likely to result in changes in clinician behaviour. Current evidence suggests that interventions which reduce clinical uncertainty, reduce clinician/parent miscommunication, elicit parent concerns, make clear delayed or no-antibiotic recommendations, and provide clinicians with alternate treatment actions have the best chance of success. We designed a web-based within-consultation intervention to reduce clinician uncertainty and pressure to prescribe, designed to be used when children with RTI present to a prescribing clinician in primary care.

conclusionsWe provide a worked example of methods for the development of future complex interventions in primary care, where multiple factors act on multiple actors within a complex system. Our synthesis provided intervention guidance, recommendations for practice, and highlighted evidence gaps, but questions remain about how best to implement these recommendations. The funding structure which enabled a single team of researchers to work on a multi-method programme of related studies (NIHR Programme Grant scheme) was key in our success.

trial registrationThe feasibility study accompanying this intervention was prospectively registered with the ISRCTN registry ( ISRCTN23547970 ), on 27 June 2014.

Indexed as

Anti-Bacterial AgentsChildChild, PreschoolClinical Trials as TopicCoughDose-Response Relationship, DrugEvidence-Based PracticeFeasibility StudiesHumansPrimary Health CareProspective StudiesReproducibility of ResultsResearch DesignUnited KingdomAnti-Bacterial AgentsChildDrug resistanceEvidence synthesisIntervention developmentMicrobialMixed methodsModelsPrimary health carePsychologicalRespiratory tract infections

Identifiers

PMID29281974
PMCPMC5745782
OpenAlexW2780813527

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.