British Journal of General Practice · 2009 · 73 citations · 39 references
Public HealthPublic Health PracticeClinical EpidemiologyEpidemiologyHealth Services ResearchAntimicrobial Use SurveillancePharmacoepidemiologyAntibiotic Utilization MeasurementAntimicrobial Prescribing Pattern AnalysisAntimicrobial Prescribing PatternsDeprivation IndexesMultiple RegressionPractice Location Management
BACKGROUND: Substantial variation in antibiotic prescribing rates between general practices persists, but remains unexplained at national level. AIM: 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. DESIGN OF STUDY: Cross-sectional study. SETTING: 8057 general practices in England. METHOD: 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. CONCLUSION: 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.
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Pharmacy, Infectious Diseases, Antimicrobial Pharmacotherapy +14
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