King's College London School of Medicine at Guy's, King's College and St Thomas' Hospitals, Department of General Practice & Primary Care, London.
Br J Gen Pract. 2009 Oct;59(567):e315-20. doi: 10.3399/bjgp09X472593.
Substantial variation in antibiotic prescribing rates between general practices persists, but remains unexplained at national level.
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.
Cross-sectional study.
8057 general practices in England.
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.
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.
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.
尽管在全国范围内,医生之间开具抗生素处方的差异仍然很大,但这种差异的原因尚不清楚。
确定英格兰各诊所之间抗生素处方开具的差异程度,并确定开具大量抗生素处方的诊所的特征。
横断面研究。
英格兰的 8057 家普通诊所。
构建了一个包含标准化抗生素处方量、诊所特征、患者发病情况、种族、社会贫困程度以及质量和结果框架实现情况(2004-2005 年)的数据的数据集。使用多元回归模型分析数据。
在样本第 10 百分位和第 90 百分位的诊所之间,标准化抗生素处方量存在两倍的差异(0.48 与 0.95 抗生素处方/抗生素 STAR-PU[特定治疗组年龄性别权重相关处方单位])。包含九个变量的回归模型解释了抗生素处方差异的 17.2%。英格兰北部地区的诊所位置是导致高抗生素处方的最强预测因素。为发病情况更严重、白人患者比例更高的人群服务的诊所,预约时间较短、非培训诊所,以及男性、年龄大于 45 岁且在英国境外获得资格的 GP 比例较高的诊所,开具的抗生素更多。
诊所和诊所人群特征解释了全国范围内抗生素处方差异的约六分之一。需要进行基于咨询水平和定性的研究,以帮助进一步解释这些发现并加深我们对这种差异的理解。