Ethnic disparities in coronary heart disease management and pay for performance in the UK

Christopher Millett1, Jeremy Gray, Martin Wall

  • 1Department of Primary Care & Social Medicine, Imperial College Faculty of Medicine, London, England. c.millett@imperial.ac.uk

Insights

Pay for performance initiatives improved coronary heart disease management and reduced ethnic disparities in UK primary care. Blood pressure control and cholesterol targets were met more often, particularly in minority ethnic groups.

Area of Science:

  • Health Services Research
  • Cardiovascular Disease Management
  • Health Equity

Background:

  • Pay for performance (P4P) schemes lack rigorous evaluation, leaving their impact on chronic disease management disparities uncertain.
  • Previous research has not clearly defined the effects of P4P on ethnic disparities in cardiovascular care.

Purpose of the Study:

  • To evaluate ethnic disparities in coronary heart disease (CHD) management and clinical outcomes.
  • To assess changes in CHD care and outcomes before and after a P4P initiative in a multiethnic UK population.

Main Methods:

  • Comparative analysis of two cross-sectional surveys using electronic general practice records.
  • Involved 32 South London family practices.
  • Data from 2,891 CHD patients in 2003 and 3,101 in 2005 were analyzed for quality indicator achievement by ethnic group.

Main Results:

  • Significant improvements in blood pressure (51.2% to 58.9%) and cholesterol control (65.7% to 73.8%) were observed post-P4P implementation.
  • Blood pressure control improvements were greater in Black patients, attenuating baseline disparities compared to White patients.
  • While statin prescribing improved, it remained lower in the Black ethnic group compared to South Asian and White groups.

Conclusions:

  • The introduction of P4P incentives in UK primary care was linked to enhanced coronary heart disease management.
  • P4P initiatives demonstrated potential for more equitable CHD care across diverse ethnic populations.
Abstract

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