Evidence map›Paper›PMID 19843411›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2009

Which practices are high antibiotic prescribers? A cross-sectional analysis.

Kay Yee Wang, Paul Seed, Peter Schofield, Saima Ibrahim, Mark Ashworth

Abstract readMulticenter Study
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

  1. Pooled it
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  9. Feedback of actionable individual patient prescription data to improve asthma prescribing: pragmatic cluster randomised trial in 233 UK general practices.The British journal of general practice : the journal of the Royal College of General Practitioners · 2022
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  19. Relationship between prescribing of antibiotics and other medicines in primary care: a cross-sectional study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2019
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kay Yee WangKing's College London School of Medicine at Guy's, King's College and St Thomas' Hospitals, Department of General Practice & Primary Care, London.
Paul Seed
Peter Schofield
Saima Ibrahim
Mark Ashworth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSubstantial variation in antibiotic prescribing rates between general practices persists, but remains unexplained at national level.

aimTo establish the degree of variation in antibiotic prescribing between practices in England and identify the characteristics of practices that prescribe higher volumes of antibiotics. DESIGN OF STUDY: Cross-sectional study.

setting8057 general practices in England.

methodA dataset was constructed containing data on standardised antibiotic prescribing volumes, practice characteristics, patient morbidity, ethnicity, social deprivation, and Quality and Outcomes Framework achievement (2004-2005). Data were analysed using multiple regression modelling.

resultsThere was a twofold difference in standardised antibiotic prescribing volumes between practices in the 10th and 90th centiles of the sample (0.48 versus 0.95 antibiotic prescriptions per antibiotic STAR-PU [Specific Therapeutic group Age-sex weightings-Related Prescribing Unit]). A regression model containing nine variables explained 17.2% of the variance in antibiotic prescribing. Practice location in the north of England was the strongest predictor of high antibiotic prescribing. Practices serving populations with greater morbidity and a higher proportion of white patients prescribed more antibiotics, as did practices with shorter appointments, non-training practices, and practices with higher proportions of GPs who were male, >45 years of age, and qualified outside the UK.

conclusionPractice and practice population characteristics explained about one-sixth of the variation in antibiotic prescribing nationally. Consultation-level and qualitative studies are needed to help further explain these findings and improve our understanding of this variation.

Indexed as

Prescription DrugsAdultAnti-Bacterial AgentsDrug PrescriptionsEnglandEpidemiologic MethodsFamily PracticeFemaleHumansMaleMiddle AgedPractice Patterns, Physicians'Anti-Bacterial AgentsPrescription Drugs

Identifiers

PMID19843411
PMCPMC2751935

What OpenQuestion holds

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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.