Rewarding Performance: Three-Year Results from California's Statewide Pay-for-Performance Experiment Cheryl L. Damberg, PhD, Kristiana Raube, PhD, Stephanie Teleki, PhD, and Erin dela Cruz June 5, 2007 Financial support provided by the California Healthcare Foundation Presentation Topics IHA Pay-for-Performance program design Year-to-year changes in performance scores Physician group responses to P4P post 3rd incentive payment Conclusions Academy Health, 2007 Evaluation of the IHA P4P Program A 5-year evaluation to assess the impact of the IHA P4P program on: Changes in performance over time Changes in payments and the distribution of payments over time The relationship between structural characteristics and performance scores Physician group responses to the incentive program Leadership interviews with physician groups Academy Health, 2007 IHA P4P Program A statewide collaborative effort among: 7 major health plans and 225 medical groups 12 million commercial HMO and POS enrollees Measurement started in 2003 for 1st payout in 2004 3rd payout occurred late summer 2006 Design Elements Unit of payment Medical groups (n=225) # of measures 17 (clinical, patient experience, IT capability) Data source Administrative (plan or medical group self-report) Min of 3.25 encounters PMPY Earning potential Avg. bonus of 2-3% of cap (~$2.50 per member per month) Scoring method Most plans use relative rankings Transparency Full transparency Academy Health, 2007 Performance Measures MY Year 2005, Payout 2006 Clinical Asthma management Childhood immunization (MMR, VZV) Cancer screening (breast, cervical) Diabetes (HbA1c measure and control) LDL (screening and control: 03 cardiac; 04 cardiac and diabetic) Patient Experience Timely access to care Doctor-patient interaction/communication Specialty care Overall ratings of care IT Capability Integrate clinical electronic data for population management Clinical decision making support at point of care through electronic tools Academy Health, 2007 Weighting of Measures in Payout Formula Payout Year 2004 2005 2006 2007 Clinical Measures 50% 40% 50% 50% Patient Experience with Care 40% 40% 30% 30% IT Capabilities (add systemness measures in 2007) 10% 20% 20% 20% Total 100% 100% 100% 100% x x Individual physician Feedback program (optional add on bonus) Year-to-year improvement (optional in 06; begins 07 for all plans) x Academy Health, 2007 Changes in Payouts: 2004-2006 ∆=47% increase in IHA portion $160.0 $137.1 $119.5 $144.6 $120.0 Millions of Dollars $83.4 $80.0 $89.5 $82.0 $55.0 $40.0 $37.4 $53.7 $0.0 2004 IHA Payouts 2005 Non-IHA Payouts 2006 Total Payouts Academy Health, 2007 Total Payments to Physician Organizations* 2004 vs. 2005 $1,600,000 $1,400,000 $1,200,000 2005 $1,000,000 $800,000 $600,000 $400,000 $200,000 $0 $0 $200,000 $400,000 $600,000 $800,000 $1,000,000 $1,200,000 $1,400,000 2004 * Note: Truncated to groups receiving less than $2 million Academy Health, 2007 3-Year Performance Changes 2003 (2004 payout) to 2005 (2006 payout) Academy Health, 2007 Modest Changes in Patient Experience Scores 2003 2004 Mean Difference Rating of Health Care 70.0% 71.4% 1.4%** Rating of Doctor 80.0% 80.7% 0.5% Rating of Specialist 71.0% 71.9% 0.8% Doctor Communication 85.6% 87.0% 1.3%*** Timely Care and Access 69.5% 70.2% 1.4%*** No Problem Seeing Specialist 59.5% 61.3% 2.2%*** Measure Statistically significant at *** p<.001 ** p < .01; * p < .05 Academy Health, 2007 Asthma: All Ages 100 90 21% point gain in performance 80 Mean Score 70 Overall Mean 60 Quartile 1 50 Quartile 2 40 Quartile 3 Quartile 4 30 20 Reduction of 5.6% points in variation 10 0 2003 2004 2005 Measurement Year Academy Health, 2007 Breast Cancer Screening 100 90 3.5% point gain in performance 80 Mean Score 70 Overall Mean 60 Quartile 1 50 Quartile 2 40 Quartile 3 30 Quartile 4 20 Reduction of 2.3% points in variation 10 0 2003 2004 2005 Measurement Year Academy Health, 2007 HbA1c Screening 100 7.7% point gain in performance 90 80 Mean Score 70 Overall Mean 60 Quartile 1 50 Quartile 2 40 Quartile 3 Quartile 4 30 20 Reduction of 19.8% points in variation 10 0 2003 2004 2005 Measurem ent Year Academy Health, 2007 Diabetes HbA1c Screening: 2004 vs. 2005 100 90 80 70 2005 60 50 40 30 20 10 0 0 20 40 60 80 100 2004 Academy Health, 2007 Breast Cancer Screening: 2004 vs 2005 100 90 80 70 2005 60 50 40 30 20 10 0 0 20 40 60 80 100 2004 Academy Health, 2007 IT adoption increases each year Measurement Year 2003 Measurement Year 2004 Measurement Year 2005 Number of Groups 100 90 80 70 60 50 40 30 20 10 0 Patient Registry Actionable Reports HEDIS Results By 2005, 33-44% of Groups and 68-76% of Patients Had Data Integration Technology Academy Health, 2007 More IT Functions are Adopted 90 80 70 60 Number of Groups 50 40 30 20 10 0 Electronic Prescribing Electronic Check of Prescription Interaction Measurement Year 2003 Electronic Retrieval of Lab Results Electronic Access of Clinical Notes Electronic Retrieval of Patient Reminders Measurement Year 2004 Accessing Clinical Findings Electronic Messaging Measurement Year 2005 By 2005, 1-39% of Groups; 20-64% of Patients had Point of Care Technology Academy Health, 2007 Physician Organization Responses to Pay for Performance: Findings from Leadership Interviews Academy Health, 2007 Physician Organization Responses to the Incentive Program Second round of interviews with physician leadership (3 years into program) Study population: 35 physician organizations (POs) out of a universe of 225 in CA (n=29 completed to date) Cross section of groups High, medium, and low performing Pos Reflects the spectrum of “winners and losers” Large and small POs Reflects resource constraints Rural and urban POs Academy Health, 2007 Support Quality Focus, but Face Constraints • Most said the organization provides support to addressing quality Mean score = 4.0 (1 to 5 scale, with 5 = a lot of support) • Biggest constraints to improving quality: Technology challenges, such as lack of EMR Changing physician behavior Data issues, such as data integration, missing information, etc. • POs feel they are moderately successful in monitoring their quality performance Mean score=3.7 ( 1-5 scale, with 5 = very successful) Academy Health, 2007 Is the Current Incentive Level of 1-2% of Capitation Right? Among those earning incentives, the amount was 2% or less as a percentage of total capitation payments Mixed results on +/- ROI Widespread support for increasing incentives to 510% of capitation payments (26 out of 29 POs agreed) This level would increase attention, provide a positive ROI and defray set-up costs Some POs noted current levels have gotten their attention and urged them to make changes Academy Health, 2007 Most POs Believe P4P Affects Organizational and Physician Behavior • • Increased organizational accountability for quality New project managers, quality support, and medical directors Improvements in data collection, including IT adoption IT and data support staff Data mining capabilities • EMRs, hardware, software, and web interfaces Physicians are more directly managing patients and working with administration to improve quality Bonuses tied to quality Outreach to physicians; clinical and patient satisfaction guideline review Academy Health, 2007 Conclusions Modest positive changes occurring for most measures Combination of quality improvements and improvements in data capture Data capture continues to challenge small groups and some IPAs Challenges of how to improve patient experience Performance payments have grown slowly over time $$ at risk for performance are still a small fraction of total payments Current level of incentives isn’t high enough to really get attention of physicians Hard to incentivize specialists given absence of measures Academy Health, 2007 Will P4P Solve the Cost and Quality Problems in the U.S. Health System? Improving the reliability of care received from current level of one-sigma to six-sigma? Slowing the growth in healthcare costs to the rate of growth in the GDP or general level of inflation? Reducing the number of deaths from medical errors from estimated rate of >100,000/year to below 5,000/year? Unlikely in near term Need for other policy levers in conjunction with P4P (e.g., broader performance measurement, transparency, investments in information systems) Academy Health, 2007