From Concept to Practice: Early Experience with P4P Meredith B. Rosenthal Richard G Frank Elena Li Arnold M. Epstein Financial support for this research.

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Presentation transcript:

From Concept to Practice: Early Experience with P4P Meredith B. Rosenthal Richard G Frank Elena Li Arnold M. Epstein Financial support for this research was provided by the Commonwealth Fund.

2 PacifiCare Health Systems  Major U.S. health insurance plan with more than 2 million members across several states  Typically contracts with large multi-specialty medical groups using professional capitation  PacifiCare has tracked quality of care among medical groups in California for a decade  These data have been public since 1998

3 Design of PacifiCare P4P  P4P contracts cover 163 large multi-specialty medical groups in California: beginning 1/2003  PacifiCare accounts for an average of 15% of patients in groups  P4P targeted 5 technical/5 satisfaction measures  Set targets at 75 percentile of 2002 performance (absolute standard)  Payments began 7/2003; $0.23 per member per month per measure (potential quarterly pay off per target with 10,000 members=$6,900)

4 PacifiCare Evaluation  In 2003, the Quality Incentive Program (QIP) was launched in CA only (WA/OR control)  First year targets included five clinical quality measures, 5 patient satisfaction measures and indicator of IT adoption  PacifiCare’s QIP rewards high performance, not improvement (fixed target)

5 Overview of Analysis  Comparison of the change in quality in CA vs. WA/OR after the QIP was introduced using quarterly performance reports  Focus on 3 continuously reported measures (cervical cancer screening, mammography, HbA1c testing)  Three questions: Did the QIP improve quality? How much did PacifiCare spend in bonuses? How were bonuses distributed relative to improvement?

6 Key Findings  Only cervical cancer screening rate improved more in CA than the OR/WA (by 3.6 percentage points)  In total, PacifiCare distributed about $3 million in the first year of the program; 129/172 groups received some $, only 15 groups hit more than half of the targets  Those with high baseline performance (>=targeted level) received 75% of $$ and improved little (about 1-2 percentage points)

7 Table 1. Improvement in Clinical Quality Scores for QIP Measures Pre-QIPPost-QIP Row Difference (Post – Pre) Cervical Cancer Screening California 39.2%44.5%5.3% (1.6%)* Pacific Northwest 55.4%57.1%1.7% (0.9%) Column Difference (CA-NW) -16.2%-12.6%3.6% (1.8%)* Mammography California 66.1%68.0%1.9% (1.1%) Pacific Northwest 72.4%72.6%0.2% (1.1%) Column Difference (CA-NW) -6.3%-4.6%1.7% (1.5%) HbA1c Testing California 62.0%64.1%2.1% (1.0%)* Pacific Northwest 80.0%82.1%2.1% (3.3%) Column Difference (CA-NW) -18.0% 0.0% (3.5%) Source: Authors’ analysis of PacifiCare physician group performance reports Notes: (1) Predicted values obtained from GEE models of performance. (2) Bootstrapped standard errors for row differences in parentheses. We indicate with a start (*) a p-value of <.05. (3) For the purposes of this analysis we define the post-QIP period as beginning with the data reported for the first quarter of 2003.

8 Table 2. Quality Improvement after the QIP and Bonus Payments to California Groups with High, Middle or Low Baseline Performance Quality DomainTotal PacifiCare Members Pre-QIP Rate Post-QIP Rate Improvement (Post-Pre) Bonuses Paid in Year 1 Cervical Cancer Screening Group 1597, %56.0%2.5% (0.8%)$ 436,618 Group 2287, %48.1%7.4% (2.4%)$ 127,632 Group 3305, %34.1%11.1% (3.9%) $ 26,859

9 Performance Over Time on Cervical Cancer Screening, California and Pacific Northwest

10 Conclusions  In P4P where payments are made on: absolute performance; within a fragmented financing system; with modest payments levels—QI response was weak  A large share of payments were made to practices that did not improve making initiative costly  Changes in unmeasured outcomes not considered

11 Implications  Paying for improvement AND performance may yield better results  P4P on large scale to overcome fragmentation is likely important  Multi-tasking must be studied carefully