Literature DB >> 17071815

Social deprivation and statin prescribing: a cross-sectional analysis using data from the new UK general practitioner 'Quality and Outcomes Framework'.

M Ashworth1, D Lloyd, R S Smith, A Wagner, G Rowlands.   

Abstract

We aimed to study the relationship between the prescribing of lipid-lowering medication, social deprivation and other general practice characteristics. We conducted a cross-sectional survey of all general practices in England, 2004-05. For each practice, the following variables were obtained: standardized cost and volume data for lipid-lowering medication, descriptors of general practices, Index of Multiple Deprivation, 2004, ethnicity data from the 2001 Census and Quality and Outcomes Framework data. A regression model was constructed which explained 34.5% of the variation in statin prescribing by general practitioners. The most powerful predictors were higher social deprivation, higher prevalence of coronary heart disease and achievement of cholesterol targets for diabetics. Negative regression coefficients were demonstrated for the proportion of elderly patients in the practice and, to a lesser extent, for the proportion of south Asian and Afro-Caribbean patients. In conclusion, contrary to previous local studies, we found that statin prescribing was higher in more deprived communities, even after adjustment for increased disease prevalence and practice variables associated with deprivation. Statin prescribing was also independently associated with success at achieving cholesterol targets in established disease (secondary prevention). However, our findings suggest under-prescribing of statins to the elderly and possibly also to ethnic minorities.

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Year:  2006        PMID: 17071815     DOI: 10.1093/pubmed/fdl068

Source DB:  PubMed          Journal:  J Public Health (Oxf)        ISSN: 1741-3842            Impact factor:   2.341


  28 in total

1.  Temporal and within practice variability in the health improvement network.

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Journal:  Pharmacoepidemiol Drug Saf       Date:  2011-07-13       Impact factor: 2.890

2.  Deprivation, demography, and the distribution of general practice: challenging the conventional wisdom of inverse care.

Authors:  Sheena Asthana; Alex Gibson
Journal:  Br J Gen Pract       Date:  2008-10       Impact factor: 5.386

3.  South Asians and coronary heart disease: always bad news?

Authors:  M Justin S Zaman; Kiran C R Patel
Journal:  Br J Gen Pract       Date:  2011-01       Impact factor: 5.386

4.  Risk of pneumonia in patients taking statins: population-based nested case-control study.

Authors:  Yana Vinogradova; Carol Coupland; Julia Hippisley-Cox
Journal:  Br J Gen Pract       Date:  2011-11       Impact factor: 5.386

5.  Variation in anticoagulation for atrial fibrillation between English clinical commissioning groups: an observational study.

Authors:  John Robson; Kate Homer; Zaheer Ahmed; Sotiris Antoniou
Journal:  Br J Gen Pract       Date:  2018-07-02       Impact factor: 5.386

6.  Effect of ethnicity on the prevalence, severity, and management of COPD in general practice.

Authors:  Alice Martin; Ellena Badrick; Rohini Mathur; Sally Hull
Journal:  Br J Gen Pract       Date:  2012-02       Impact factor: 5.386

Review 7.  Mass spectrometry-based proteomics: existing capabilities and future directions.

Authors:  Thomas E Angel; Uma K Aryal; Shawna M Hengel; Erin S Baker; Ryan T Kelly; Errol W Robinson; Richard D Smith
Journal:  Chem Soc Rev       Date:  2012-04-13       Impact factor: 54.564

8.  Using Classification and Regression Trees (CART) to Identify Prescribing Thresholds for Cardiovascular Disease.

Authors:  Chris Schilling; Duncan Mortimer; Kim Dalziel; Emma Heeley; John Chalmers; Philip Clarke
Journal:  Pharmacoeconomics       Date:  2016-02       Impact factor: 4.981

9.  Predictors of cholesterol treatment discussions and statin prescribing for primary cardiovascular disease prevention in community health centers.

Authors:  Kunal N Karmali; Ji-Young Lee; Tiffany Brown; Stephen D Persell
Journal:  Prev Med       Date:  2016-04-16       Impact factor: 4.018

10.  Which practices are high antibiotic prescribers? A cross-sectional analysis.

Authors:  Kay Yee Wang; Paul Seed; Peter Schofield; Saima Ibrahim; Mark Ashworth
Journal:  Br J Gen Pract       Date:  2009-10       Impact factor: 5.386

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