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Substantial variation in antibiotic prescribing rates between general practices persists, but remains unexplained at national level. AimTo 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 studyCross-sectional study. Setting general practices in England. MethodA 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. ResultsThere 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 weightingsRelated 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. ConclusionPractice 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.

This study has shown that the REALM has face, criterion and construct validity for use as an HL screening tool in the UK, in research and in everyday clinical practice. Further studies are needed to assess the prevalence of low HL in a wider population and to explore the links that may exist between low HL and poor health in the UK.

This study examined psychosocial correlates of health literacy (HL) scores among older patients with coronary heart disease (CHD). A cross-sectional survey assessed psychosocial factors relating to the following: self-efficacy (i.e., perception of ability to perform a specified behavior) for diet, exercise, medication, and for a future attempt to quit smoking; social support; social stigma; appointment attendance; knowledge of heart problems; and understanding of health information. Health literacy was measured by the Rapid Estimate of Adult Literacy in Medicine (REALM). Of 321 patients, 70 had a REALM score in the low HL range (<60). When adjusting for demographics, a lower REALM score was significantly associated with reports of increased difficulty understanding health information (p < .001), less knowledge of heart problems (p = .002), increased discomfort about asking for explanations of health information (p = .014), less support with discussing health problems (p = .020). Patients with CHD and low HL are likely to face psychosocial challenges when managing their health problems. In order to encourage these individuals to seek help, health professionals need to be aware of the psychosocial characteristics of patients with low HL. These individuals may need behavioral support to increase both their self-efficacy and their understanding of their medical condition.