Exclusion of patients from quality measurement of diabetes care in the UK pay-for-performance programme

Diabet Med. 2011 May;28(5):525-31. doi: 10.1111/j.1464-5491.2011.03251.x.

Abstract

Background: We examined associations between patient and practice characteristics and exclusions from quality indicators for diabetes during the first 3 years of the Quality and Outcomes Framework, a major pay-for-performance scheme in the UK.

Methods: Three cross-sectional analyses, conducted using data from the electronic medical records of all patients with diabetes registered in 23 general practices in Brent, North West London between 2004/2005 and 2006/2007. Patterns of exclusions were examined for three intermediate outcome indicators.

Results: Excluded patients were less likely to achieve treatment targets for HbA(1c) (2004/2005, 2006/2007), blood pressure (2005/2006, 2006/2007) and cholesterol (2005/2006). Black and South Asian patients were more likely to be excluded from the HbA(1c) indicator than White patients [adjusted odds ratio = 1.64 (1.17-2.29) in 2005/2006]. Patients diagnosed with diabetes duration of > 10 years [adjusted odds ratio = 2.01 (1.65-2.45) for HbA(1c) in 2006-2007] and those with co-morbidities (adjusted odds ratio, ≥ 3 co-morbidities compared with no co-morbidity for HbA(1c) adjusted odds ratio = 1.90 (1.24-2.90) in 2004/2005] were more likely to be excluded. Larger practices excluded more patients from the HbA(1c) indicator [adjusted odds ratio, practice ≥ 7000 compared with < 3000, 3.52 (2.35-5.27) in 2005-2006]. More deprived practices consistently excluded more patients from all indicators, whilst in 2007 older patients were excluded to a larger degree [adjusted odds ratio = 2.52 (1.21-5.28) ≥ 75 compared with 18-44 for blood pressure control].

Conclusions: Patients excluded from pay-for-performance programmes may be less likely to achieve treatment goals and disproportionately come from disadvantaged groups. Permitting physicians to exclude patients from pay-for-performance programmes may worsen health disparities.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Cross-Sectional Studies
  • Diabetes Mellitus / economics*
  • Diabetes Mellitus / ethnology
  • Diabetes Mellitus / therapy
  • Female
  • Glycated Hemoglobin A
  • Healthcare Disparities / economics*
  • Healthcare Disparities / ethnology
  • Humans
  • London
  • Male
  • Middle Aged
  • Quality Indicators, Health Care / economics
  • Reimbursement, Incentive / economics*
  • Reimbursement, Incentive / statistics & numerical data
  • Young Adult

Substances

  • Glycated Hemoglobin A