Incentive Design and Quality Improvements: Evidence from State Medicaid Nursing Home Pay-for-Performance Programs

B-Tier
Journal: American Journal of Health Economics
Year: 2018
Volume: 4
Issue: 1
Pages: 105-130

Authors (3)

R. Tamara Konetzka (not in RePEc) Meghan M. Skira (University of Georgia) Rachel M. Werner (not in RePEc)

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Pay-for-performance (P4P) programs have become a popular policy tool aimed at improving health-care quality. We analyze how incentive design affects quality improvements in the nursing home setting, where several state Medicaid agencies have implemented P4P programs that vary in incentive structure. Using the Minimum Data Set and the Online Survey, Certification, and Reporting data from 2001 to 2009, we examine how the weights put on various performance measures that are tied to P4P bonuses, such as clinical outcomes, inspection deficiencies, and staffing levels, affect improvements in those measures. We find larger weights on clinical outcomes often lead to larger improvements, but small weights can lead to no improvement or worsening of some clinical outcomes. We find a qualifier for P4P eligibility based on having few or no severe inspection deficiencies is more effective at decreasing inspection deficiencies than using weights, suggesting simple rules for participation may incent larger improvement.

Technical Details

RePEc Handle
repec:ucp:amjhec:v:4:y:2018:i:1:p:105-130
Journal Field
Health
Author Count
3
Added to Database
2026-01-29