Gary McLean1. 1. Research Fellow, General Practice & Primary Care, Community Based Sciences, University of Glasgow, 1 Horselethill Road, G12 9LX, Glasgow, UK. gml17y@clinmed.gla.ac.uk.
Abstract
BACKGROUND: We examine whether practices in areas with higher risks of CHD prescribe different levels of cardiovascular drugs and describe how they differ in GP and practice characteristics. METHODS: Propensity score matching was used to identify two groups of practices in Scotland. The cases were in areas with 5% or more of the population in South Asian ethnic groups. The controls were in areas with less than 1% of the population in South Asian ethnic groups and were matched for other population characteristics. RESULTS: The 39 case practices have lower prescribing rates than the matched controls for all heart disease drugs Significant different are found for six drugs (statins, ace Inhibitors, clopidogrel, thiazides, warfarin and digoxin. The differences range from 12.8% less for amlodipine to 43.9% for clopidogrel. The case practices also have lower prescribing costs than the unmatched group with the exception of ace inhibitors and aspirin. The highest prescribing costs for all drugs are found in the matched control group. The case practices are smaller than the controls, and have fewer GPs per 1,000 patients. Case practices have fewer quality markers and receive less in total resources, but have higher sums reimbursed to cover their employed staff costs. CONCLUSION: Patients with higher risk of CHD tend to live in areas served by practices with lower prescribing rates and poorer structural characteristics. The scale of the differences in prescribing suggests that health care system factors rather than individual treatment decisions cause inequity in care. Identifying whether South Asian individuals are less likely to receive heart disease drugs than non South Asians requires individual-level prescribing data, which is currently not available in the UK.
BACKGROUND: We examine whether practices in areas with higher risks of CHD prescribe different levels of cardiovascular drugs and describe how they differ in GP and practice characteristics. METHODS: Propensity score matching was used to identify two groups of practices in Scotland. The cases were in areas with 5% or more of the population in South Asian ethnic groups. The controls were in areas with less than 1% of the population in South Asian ethnic groups and were matched for other population characteristics. RESULTS: The 39 case practices have lower prescribing rates than the matched controls for all heart disease drugs Significant different are found for six drugs (statins, ace Inhibitors, clopidogrel, thiazides, warfarin and digoxin. The differences range from 12.8% less for amlodipine to 43.9% for clopidogrel. The case practices also have lower prescribing costs than the unmatched group with the exception of ace inhibitors and aspirin. The highest prescribing costs for all drugs are found in the matched control group. The case practices are smaller than the controls, and have fewer GPs per 1,000 patients. Case practices have fewer quality markers and receive less in total resources, but have higher sums reimbursed to cover their employed staff costs. CONCLUSION:Patients with higher risk of CHD tend to live in areas served by practices with lower prescribing rates and poorer structural characteristics. The scale of the differences in prescribing suggests that health care system factors rather than individual treatment decisions cause inequity in care. Identifying whether South Asian individuals are less likely to receive heart disease drugs than non South Asians requires individual-level prescribing data, which is currently not available in the UK.