Evidence map›Paper›PMID 30559110›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2019

Relationship between prescribing of antibiotics and other medicines in primary care: a cross-sectional study.

Yan Li, Anna Mölter, Andrew White, William Welfare, Victoria Palin, Miguel Belmonte, Darren M Ashcroft, Matthew Sperrin, Tjeerd Pieter van Staa

Abstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Predictors of high-performing family medicine clinics: Prospective cohort study in Alberta.Canadian family physician Medecin de famille canadien · 2026
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  10. Factors predicting statin prescribing for primary prevention: a historical cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2021
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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

9 authors.

Yan LiHealth e-Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Anna MölterHealth e-Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Andrew WhiteNHS Greater Manchester Shared Service, Oldham, UK.
William WelfarePublic Health England North West, Manchester, UK.
Victoria PalinHealth e-Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Miguel BelmonteHealth e-Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Darren M AshcroftCentre for Pharmacoepidemiology and Drug Safety, and NIHR Greater Manchester Patient Safety Translational Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Matthew SperrinHealth e-Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Tjeerd Pieter van StaaHealth e-Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK, and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh levels of antibiotic prescribing are a major concern as they drive antimicrobial resistance. It is currently unknown whether practices that prescribe higher levels of antibiotics also prescribe more medicines in general.

aimTo evaluate the relationship between antibiotic and general prescribing levels in primary care. DESIGN AND

settingCross-sectional study in 2014-2015 of 6517 general practices in England using NHS digital practice prescribing data (NHS-DPPD) for the main study, and of 587 general practices in the UK using the Clinical Practice Research Datalink for a replication study.

methodLinear regression to assess determinants of antibiotic prescribing.

resultsNHS-DPPD practices prescribed an average of 576.1 antibiotics per 1000 patients per year (329.9 at the 5th percentile and 808.7 at the 95th percentile). The levels of prescribing of antibiotics and other medicines were strongly correlated. Practices with high levels of prescribing of other medicines (a rate of 27 159.8 at the 95th percentile) prescribed 80% more antibiotics than low-prescribing practices (rate of 8815.9 at the 5th percentile). After adjustment, NHS-DPPD practices with high prescribing of other medicines gave 60% more antibiotic prescriptions than low-prescribing practices (corresponding to higher prescribing of 276.3 antibiotics per 1000 patients per year). Prescribing of non-opioid painkillers and benzodiazepines were also strong indicators of the level of antibiotic prescribing. General prescribing levels were a much stronger driver for antibiotic prescribing than other risk factors, such as deprivation.

conclusionThe propensity of GPs to prescribe medications generally is an important driver for antibiotic prescribing. Interventions that aim to optimise antibiotic prescribing will need to target general prescribing behaviours, in addition to specifically targeting antibiotics.

Indexed as

Primary Health CareAnalgesics, Non-NarcoticAnti-Bacterial AgentsBenzodiazepinesCross-Sectional StudiesHumansLinear ModelsPractice Patterns, Physicians'Prescription DrugsUnited KingdomAnalgesics, Non-NarcoticAnti-Bacterial AgentsBenzodiazepinesPrescription Drugsantibioticsbenzodiazepinesdrug prescribinggeneral practicenon-antibioticsnon-opioid painkillers

Identifiers

PMID30559110
PMCPMC6301355

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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.