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Research article:

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

Reference:

Victoria Palin, Anna Mölter, Miguel Belmonte, Darren Ashcroft, Andrew White, William Welfare, Tjeerd van Staa(2018) Antibiotic prescribing for common infections in UK general practice: variability and drivers. Journal of Antimicrobial Chemotherapy, doi:

Link to article
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 optimisation of prescribing. Methods: Oral antibiotics prescribing for common infections were analysed using anonymised 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 the correlation of prescribing between each condition estimated within a practice. Drivers of prescribing were estimated using logistic regression in a matched patient cohort (1:1 by age, sex and date). Results: Over 8 million patient records were examined in 587 general practices in the UK. Practices varied considerably in their propensity to prescribe antibiotics and this variance increased over time (except in cases of urinary tract infection (UTI)). Change points in prescribing did not reflect updates to national guidelines and prescribing for different infectious conditions varied within practices. A previous history of antibiotic use significantly increased the risk of receiving a subsequent antibiotic (by 22-48% for patients with ≥ 3 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 was observed. Prescribing guidelines alone do not positively influence a change in prescribing, suggesting more targeted interventions are required to optimise antibiotic prescribing in the UK.
Author for correspondence
Victoria Palin
Email for correspondence
victoria.palin@manchester.ac.uk

Code list: res70: Sore throat_bacterial

13 codes in list

Code Coding system Description Entity type List name
A34..00 Read Streptococcal sore throat and scarlatina diagnostic res70: Sore throat_bacterial
A340.00 Read Streptococcal sore throat diagnostic res70: Sore throat_bacterial
A340000 Read Streptococcal angina diagnostic res70: Sore throat_bacterial
A340100 Read Streptococcal laryngitis diagnostic res70: Sore throat_bacterial
A340200 Read Streptococcal pharyngitis diagnostic res70: Sore throat_bacterial
A340300 Read Streptococcal tonsillitis diagnostic res70: Sore throat_bacterial
A340z00 Read Streptococcal sore throat NOS diagnostic res70: Sore throat_bacterial
A341.00 Read Scarlet fever - scarlatina diagnostic res70: Sore throat_bacterial
A341.11 Read Scarlet fever diagnostic res70: Sore throat_bacterial
A341.12 Read Scarlatina diagnostic res70: Sore throat_bacterial
A34z.00 Read Streptococcal sore throat with scarlatina NOS diagnostic res70: Sore throat_bacterial
J083.00 Read Oral cellulitis and abscess diagnostic res70: Sore throat_bacterial
J083600 Read Uvulitis diagnostic res70: Sore throat_bacterial

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