Evidence map›Paper›PMID 26324495›Full record

Observational studyThe British journal of general practice : the journal of the Royal College of General Practitioners2015

Clinical predictors of antibiotic prescribing for acutely ill children in primary care: an observational study.

Kathryn O'Brien, Thomas Wyn Bellis, Mark Kelson, Kerenza Hood, Christopher C Butler, Adrian Edwards

Abstract readObservational Study
In one paragraph

Observational study in The British journal of general practice : the journal of the Royal College of General Practitioners, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Antibiotic effectiveness for children with lower respiratory infections: prospective cohort and trial in primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2023
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  14. Factors predicting amoxicillin prescribing in primary care among children: a cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
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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.

Kathryn O'BrienDivision of Population Medicine.
Thomas Wyn BellisGreat Western Hospital, Swindon.
Mark KelsonSouth East Wales Trials Unit, Cardiff University, Cardiff.
Kerenza HoodSouth East Wales Trials Unit, Cardiff University, Cardiff.
Christopher C ButlerNuffield Department of Primary Care Health Sciences Oxford University, Oxford and Division of Population Medicine, School of Medicine, Cardiff University, Cardiff, UK.
Adrian EdwardsDivision of Population Medicine and professor of primary care, School of Medicine;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibiotic overuse and inappropriate prescribing drive antibiotic resistance. Children account for a high proportion of antibiotics prescribed in primary care.

aimTo determine the predictors of antibiotic prescription in young children presenting to UK general practices with acute illness. DESIGN AND

settingProspective observational study in general practices in Wales.

methodA total of 999 children were recruited from 13 practices between March 2008 and July 2010. Multilevel, multivariable logistic regression analysis was performed to determine predictors of antibiotic prescribing.

resultsOral antibiotics were prescribed to 261 children (26.1%). Respiratory infections were responsible for 77.4% of antibiotic prescriptions. The multivariable model included 719 children. Children were more likely to be prescribed antibiotics if they were older (odds ratio [OR] 1.3; 95% confidence intervals [CI] = 1.1 to 1.7); presented with poor sleep (OR 2.7; 95% CI = 1.5 to 5.0); had abnormal ear (OR 6.5; 95% CI = 2.5 to 17.2), throat (OR 2.2; 95% CI = 1.1 to 4.5) or chest examination (OR 13.6; 95% CI = 5.8 to 32.2); were diagnosed with lower respiratory tract infection (OR 9.5; 95% CI = 3.7 to 25.5), tonsillitis/sore throat (OR 119.3; 95% CI = 28.2 to 504.6), ear infection (OR 26.5; 95% CI = 7.4 to 95.7) or urinary tract infection (OR 12.7; 95% CI = 4.4 to 36.5); or if the responsible clinician perceived the child to be moderately to severely unwell (OR 4.0; 95% CI = 1.4 to 11.4). The area under the receiver operating characteristic curve was 0.9371.

conclusionRespiratory infections were responsible for 74.4% of antibiotic prescriptions. Diagnoses of tonsillitis, sore throat, or ear infection were associated most with antibiotic prescribing. Diagnosis seemed to be more important than abnormal examination findings in predicting antibiotic prescribing, although these were correlated.

Indexed as

Inappropriate PrescribingInfectionsAge FactorsAnti-Bacterial AgentsChild, PreschoolFemaleHumansInfantLogistic ModelsMalePractice Patterns, Physicians'Predictive Value of TestsPrimary Health CareProspective StudiesSymptom AssessmentWalesAnti-Bacterial Agentsacute diseaseantibacterial agentsantibiotic prescribingchildreninfectionprimary care

Identifiers

PMID26324495
PMCPMC4540398

What OpenQuestion holds

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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.