Evidence map›Paper›PMID 29490059›Full record

ArticleThe Journal of antimicrobial chemotherapy2018

Explaining variation in antibiotic prescribing between general practices in the UK.

Koen B Pouwels, F Christiaan K Dolk, David R M Smith, Timo Smieszek, Julie V Robotham

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

  1. Pooled it
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  11. Physician antimicrobial prescribing and patient outcomes on general medical wards: a multicentre retrospective cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2023
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  15. 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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  16. Role of locum GPs in antibiotic prescribing and stewardship: a mixed-methods 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

5 authors at 2 institutions in 2 countries.

Koen B PouwelsModelling and Economics Unit, National Infection Service, Public Health England, London NW9 5EQ, UK.
F Christiaan K DolkModelling and Economics Unit, National Infection Service, Public Health England, London NW9 5EQ, UK.
David R M SmithModelling and Economics Unit, National Infection Service, Public Health England, London NW9 5EQ, UK.
Timo SmieszekModelling and Economics Unit, National Infection Service, Public Health England, London NW9 5EQ, UK.
Julie V RobothamModelling and Economics Unit, National Infection Service, Public Health England, London NW9 5EQ, UK.
Public Health England · GBUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Primary care practices in England differ in antibiotic prescribing rates, and, anecdotally, prescribers justify high prescribing rates based on their individual case mix. The aim of this paper was to explore to what extent factors such as patient comorbidities explain this variation in antibiotic prescribing. Methods: Primary care consultation and prescribing data recorded in The Health Improvement Network (THIN) database in 2013 were used. Boosted regression trees (BRTs) and negative binomial regression (NBR) models were used to evaluate associations between predictors and antibiotic prescribing rates. The following variables were considered as potential predictors: various infection-related consultation rates, proportions of patients with comorbidities, proportion of patients with inhaled/systemic corticosteroids or immunosuppressive drugs, and demographic traits. Results: The median antibiotic prescribing rate was 65.6 (IQR 57.4-74.0) per 100 registered patients among 348 English practices. In the BRT model, consultation rates had the largest total relative influence on antibiotic prescribing rate (53.5%), followed by steroid and immunosuppressive drugs (31.6%) and comorbidities (12.2%). Only 21% of the deviance could be explained by an NBR model considering only comorbidities and age and gender, whereas 57% of the deviance could be explained by the model considering all variables. Conclusions: The majority of practice-level variation in antibiotic prescribing cannot be explained by variation in prevalence of comorbidities. Factors such as high consultation rates for respiratory tract infections and high prescribing rates for corticosteroids could explain much of the variation, and as such may be considered in determining a practice's potential to reduce prescribing.

Indexed as

AdolescentAdultAgedAnti-Bacterial AgentsChildChild, PreschoolComorbidityCross-Sectional StudiesDatabases, FactualEnglandFemaleHumansImmunosuppressive AgentsInappropriate PrescribingInfantMaleAnti-Bacterial AgentsImmunosuppressive Agents

Identifiers

PMID29490059
PMCPMC5890680
OpenAlexW2792209401

What OpenQuestion holds

Textmetadata
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.