Evaluation of the NYS DOH Quality Incentive Program
Stephen Zuckerman The Urban Institute 2007 AcademyHealth ARM Orlando, FL
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Acknowledgements
• Funded by The Commonwealth Fund • Qualitative component of project by Robert Berenson, Terri Coughlin, Brad Gray, Allison Cook and Mindy Cohen • Mindy Cohen also collaborated on the quantitative component and data development (today’s talk) • Sharon Long guided the evaluation design, but can’t be blamed for where we ended up
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The QARR System
• Quality Assurance Reporting Requirements • 1994 NYS DOH started collecting data on quality to members in commercial and MMC plans • Uses selected measures from HEDIS, some NYSspecific measures and CAHPS • All plans required to submit audited QARR results to DOH, which uses data for various purposes (e.g., public reporting since 1995)
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The Quality Incentive Program
• 2000 – auto-assignment partly based on QARR performance – complicated formula that included preference for prepaid health services plans (PHSPs) and QI performance (less important with most beneficiaries in plans)
• 2001 – added premium bonuses; initially up 1% add-on, raised to 3% in 2004 • QI bonuses are based on composite scores on QARR and CAHPS
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QI Methodology
• 15 measures chosen each year – 10 from QARR and 5 from CAHPS • Some annual variation in QARR measures selected (which is not made until Sept of year being measured); consistency in CAHPS • QARR generally include preventive, prenatal, chronic care, children measures
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QI Methodology (cont)
• QARR scores from each plan compared to the 75th percentile of Statewide average of all participating plans from 2 years before. • Plan gets 10 points for each measure that meets or exceeds 75th percentile for QARR. (CAHPS slightly different – get 5 or 10 points). • Plans that meet a specific point threshold, set each year by DOH, can receive 25%, 50%, 75% or 100% premium bonus
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Quantitative Questions
• How did plan performance with respect to Medicaid enrollees change under the QI program? • How do trends in plan performance measures compare between Medicaid managed care enrollees and commercial managed care enrollees? • Controlling for other potential determinants of plan performance, is there evidence of an impact of the quality incentive program on Medicaid enrollees?
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Quantitative Approach
• Difference-in-differences framework: Medicaid versus commercial-only measures • A pre-post analysis that recognizes constraints imposed by number of plans and time period. • We allowed the Medicaid effect to vary with the share of plan enrollment from Medicaid • Models estimated with weighted least squares to produce robust standard errors
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QARR Measures
• Women’s Health Care: breast cancer screening (mammography), and postpartum care • Mental Health Care: ambulatory follow-up visits within 30 days of a hospitalization; effective antidepressant medication management (for 84 or 180 days) • Preventive Health Care: lead testing in children, visits to primary care physicians for children of different ages; and
• Chronic Disease: diabetes HbA1c testing and poor control of diabetes
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Data Development
• NYS Quality Assurance Reporting Requirements • Area Resource File and Interstudy Data • NYS Enrollment Files found on website • NYS DOH did not document or store historical data in an easily accessible format, leading to a great deal of data prep
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Findings
• Medicaid worse than commercial in 8 out of 11 QARR measures in the pre-QI Period • Significant improvement for Medicaid in breast cancer screening and postpartum care • Adolescent access improved among plans with a high Medicaid share • But, Medicaid still lagged behind
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Challenges (1)
• Definitions of QARR measures changed over time - Well-child, immunizations, prenatal care • Small samples limited analytic questions (e.g. impact of NYC enrollees)
– 28 Medicaid plans, 9 commercial only – HEDIS measures were being refined and
rotated out in some years
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Challenges (2)
• Were there adequate controls for confounding policies? – MMC, SSI, public reporting, quality monitoring and
improvement
• Lack of enrollee or provider data from plans
• QI program was evolving over time – Auto-assignment, 1% bonuses, 3% bonuses – Medicaid CAHPS started after QI program – Endogenity (avoided by looking at overall QI impact)
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A P4P Evaluation Design – Unreal?
• Create a payer-specific control group that does not get the incentive payment – Possibly, from another state • Keep the QARR/HEDIS measures defined consistently over time
• Acquire more comprehensive plan-level data on enrollees and providers • Try P4P without other policies that could affect outcomes – Is this possible given market pressures?
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pay for performance complicated formulas41