Antibiotic prescribing for common infections in UK general practice: variability and drivers

Author:

Palin Victoria1ORCID,Mölter Anna1,Belmonte Miguel1,Ashcroft Darren M12,White Andrew3,Welfare William4,van Staa Tjeerd15

Affiliation:

1. Greater Manchester Connected Health Cities, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester M13 9PL, UK

2. NIHR Greater Manchester Patient Safety Translational Research Centre, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester M13 9PL, UK

3. NHS Greater Manchester Shared Service, Ellen House, Waddington Street, Oldham OL9 6EE, UK

4. Public Health England North West, 3 Piccadilly Place, London Road, Manchester M1 3BN, UK

5. Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, Netherlands

Abstract

Abstract Objectives To examine variations across general practices and factors associated with antibiotic prescribing for common infections in UK primary care to identify potential targets for improvement and optimization of prescribing. Methods Oral antibiotic prescribing for common infections was analysed using anonymized UK primary care electronic health records between 2000 and 2015 using the Clinical Practice Research Datalink (CPRD). The rate of prescribing for each condition was observed over time and mean change points were compared with national guideline updates. Any correlation between the rate of prescribing for each infectious condition was estimated within a practice. Predictors of prescribing were estimated using logistic regression in a matched patient cohort (1:1 by age, sex and calendar time). Results Over 8 million patient records were examined in 587 UK general practices. Practices varied considerably in their propensity to prescribe antibiotics and this variance increased over time. Change points in prescribing did not reflect updates to national guidelines. Prescribing levels within practices were not consistent for different infectious conditions. A history of antibiotic use significantly increased the risk of receiving a subsequent antibiotic (by 22%–48% for patients with three or more antibiotic prescriptions in the past 12 months), as did higher BMI, history of smoking and flu vaccinations. Other drivers for receiving an antibiotic varied considerably for each condition. Conclusions Large variability in antibiotic prescribing between practices and within practices was observed. Prescribing guidelines alone do not positively influence a change in prescribing, suggesting more targeted interventions are required to optimize antibiotic prescribing in the UK.

Funder

Connected Health Cities

Northern Health Science Alliance

NHSA

Department of Health

NHS

MHRA

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Pharmacology (medical),Pharmacology,Microbiology (medical)

Reference46 articles.

1. Antibiotics in primary care in England: which antibiotics are prescribed and for which conditions?;Dolk;J Antimicrob Chemother,2018

2. Measuring prevalence, reliability and variation in high-risk prescribing in general practice using multilevel modelling of observational data in a population database

3. Examining variations in prescribing safety in UK general practice: cross sectional study using the Clinical Practice Research Datalink;Stocks;BMJ,2015

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