BACKGROUND: Both pharmaceutical costs and quality-indicator performance vary substantially between general practices, but little is known about the relationship between prescribing costs and quality. AIM: To measure the association between prescribing quality and pharmaceutical costs among English general practices. DESIGN AND SETTING: Cross-sectional observational study using data from the Quality and Outcomes Framework and the Prescribing Analysis and Cost database from all 8409 general practices in England in 2005-2006. METHOD: Correlation between practice achievement of 26 prescribing quality indicators in eight prescribing areas and related pharmaceutical costs was examined. RESULTS: There was no significant association between the overall achievement of quality indicators and related pharmaceutical costs (P= 0.399). Mean achievement of quality indicators across all eight prescribing areas was 79.0% (standard deviation 4.4%). There were small positive correlations in five prescribing areas: influenza vaccination, beta blockers, angiotensin converting enzyme inhibitors, lipid lowering, and antiplatelet treatment (all P<0.001). There were small negative correlations in two prescribing areas: hypertension (P<0.001) and smoking cessation (P = 0.018). CONCLUSION: Correlations between prescribing quality and pharmaceutical costs were much smaller than expected; possible explanations for this include a substantial variation in rates of prescribing outside evidence-based protocols, and use of expensive pharmaceuticals instead of cheaper effective alternatives. There remains considerable scope for some practices to make pharmaceutical cost savings while improving quality performance. The ratio of quality scores to related pharmaceutical costs could be developed into a performance indicator.
BACKGROUND: Both pharmaceutical costs and quality-indicator performance vary substantially between general practices, but little is known about the relationship between prescribing costs and quality. AIM: To measure the association between prescribing quality and pharmaceutical costs among English general practices. DESIGN AND SETTING: Cross-sectional observational study using data from the Quality and Outcomes Framework and the Prescribing Analysis and Cost database from all 8409 general practices in England in 2005-2006. METHOD: Correlation between practice achievement of 26 prescribing quality indicators in eight prescribing areas and related pharmaceutical costs was examined. RESULTS: There was no significant association between the overall achievement of quality indicators and related pharmaceutical costs (P= 0.399). Mean achievement of quality indicators across all eight prescribing areas was 79.0% (standard deviation 4.4%). There were small positive correlations in five prescribing areas: influenza vaccination, beta blockers, angiotensin converting enzyme inhibitors, lipid lowering, and antiplatelet treatment (all P<0.001). There were small negative correlations in two prescribing areas: hypertension (P<0.001) and smoking cessation (P = 0.018). CONCLUSION: Correlations between prescribing quality and pharmaceutical costs were much smaller than expected; possible explanations for this include a substantial variation in rates of prescribing outside evidence-based protocols, and use of expensive pharmaceuticals instead of cheaper effective alternatives. There remains considerable scope for some practices to make pharmaceutical cost savings while improving quality performance. The ratio of quality scores to related pharmaceutical costs could be developed into a performance indicator.
Authors: Robert Fleetcroft; Sheetal Parekh-Bhurke; Amanda Howe; Richard Cookson; Louise Swift; Nicholas Steel Journal: Br J Gen Pract Date: 2010-09 Impact factor: 5.386
Authors: Colin Baigent; Lisa Blackwell; Rory Collins; Jonathan Emberson; Jon Godwin; Richard Peto; Julie Buring; Charles Hennekens; Patricia Kearney; Tom Meade; Carlo Patrono; Maria Carla Roncaglioni; Alberto Zanchetti Journal: Lancet Date: 2009-05-30 Impact factor: 79.321
Authors: R Fernández Urrusuno; P Pérez Pérez; M C Montero Balosa; C Márquez Calzada; B Pascual de la Pisa Journal: Eur J Clin Pharmacol Date: 2013-12-03 Impact factor: 2.953