Early experience with pay-for-performance: from concept to practice

JAMA. 2005 Oct 12;294(14):1788-93. doi: 10.1001/jama.294.14.1788.

Abstract

Context: The adoption of pay-for-performance mechanisms for quality improvement is growing rapidly. Although there is intense interest in and optimism about pay-for-performance programs, there is little published research on pay-for-performance in health care.

Objective: To evaluate the impact of a prototypical physician pay-for-performance program on quality of care.

Design, setting, and participants: We evaluated a natural experiment with pay-for-performance using administrative reports of physician group quality from a large health plan for an intervention group (California physician groups) and a contemporaneous comparison group (Pacific Northwest physician groups). Quality improvement reports were included from October 2001 through April 2004 issued to approximately 300 large physician organizations.

Main outcome measures: Three process measures of clinical quality: cervical cancer screening, mammography, and hemoglobin A1c testing.

Results: Improvements in clinical quality scores were as follows: for cervical cancer screening, 5.3% for California vs 1.7% for Pacific Northwest; for mammography, 1.9% vs 0.2%; and for hemoglobin A1c, 2.1% vs 2.1%. Compared with physician groups in the Pacific Northwest, the California network demonstrated greater quality improvement after the pay-for-performance intervention only in cervical cancer screening (a 3.6% difference in improvement [P = .02]). In total, the plan awarded 3.4 million dollars (27% of the amount set aside) in bonus payments between July 2003 and April 2004, the first year of the program. For all 3 measures, physician groups with baseline performance at or above the performance threshold for receipt of a bonus improved the least but garnered the largest share of the bonus payments.

Conclusion: Paying clinicians to reach a common, fixed performance target may produce little gain in quality for the money spent and will largely reward those with higher performance at baseline.

Publication types

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

MeSH terms

  • Benchmarking
  • California
  • Group Practice / standards
  • Health Services Research
  • Humans
  • Mass Screening / statistics & numerical data
  • Oregon
  • Physician Incentive Plans / economics*
  • Quality Assurance, Health Care / economics*
  • Quality Assurance, Health Care / methods
  • Quality Indicators, Health Care
  • Reimbursement, Incentive*
  • Salaries and Fringe Benefits
  • Washington