Which practices are high antibiotic prescribers? A cross-sectional analysis.
BACKGROUND
Substantial variation in antibiotic prescribing rates between general practices persists, but remains unexplained at national level.


OBJECTIVE
To establish the degree of variation in antibiotic prescribing between practices in England and identify the characteristics of practices that prescribe higher volumes of antibiotics.


METHODS
Cross-sectional study.


METHODS
8057 general practices in England.


METHODS
A 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.


RESULTS
There 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.


CONCLUSIONS
Practice 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.
Wang
Kay Yee
KY
King's College London School of Medicine at Guy's, King's College and St Thomas' Hospitals, Department of General Practice & Primary Care, London.
Seed
Paul
P
Schofield
Peter
P
Ibrahim
Saima
S
Ashworth
Mark
M
D000328:Adult; D000900:Anti-Bacterial Agents / Q000008:administration & dosage*; D011307:Drug Prescriptions / Q000706:statistics & numerical data*; D004739:England / Q000453:epidemiology; D004812:Epidemiologic Methods; D005194:Family Practice / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010818:Practice Patterns, Physicians' / Q000706:statistics & numerical data*; D055553:Prescription Drugs
D000900:Anti-Bacterial Agents; D055553:Prescription Drugs