Alternatives to Fee-for-Service in Primary Care: Insights from Multi-Payer Efforts and Research

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Alternatives to Fee-for-Service in Primary Care: Insights from Multi-Payer Efforts and Research OCTOBER 30, 2017 Crystal Gateway Marriott Hotel Arlington, VA

Welcome Charles Fazio, MD, MS PAC Chair SVP and Medical Director, HealthPartners, Inc.

Today's Panel Bruce Landon Professor of Health Policy, Harvard Medical School Professor of Medicine, Beth Israel Deaconess Medical Center (BIDMC) Internal Medicine Practitioner, BIDMC Christiane LaBonte Payment Policy & Operations Lead, Division of Advanced Primary Care CMMI Alicia Berkemeyer Vice President, Enterprise Primary Care and Pharmacy Programs Arkansas Blue Cross and Blue Shield Dr. Peter Hollmann Chief Medical Officer Assistant Clinical Professor of Family Medicine University Medicine, Rhode Island Eileen Wood Senior Vice President, Clinical Integration Chief Pharmacy Officer Capital District Physicians Health Plan, Albany NY 3

4 Payment for Primary Care: Implications from a Microsimulation Model Bruce Landon, M.D., M.B.A. Department of Health Care Policy, Harvard Medical School Division of General Medicine and Primary Care, BIDMC

Background PCMH demonstration programs to date have yielded relatively unimpressive results Successful in bringing additional resources to primary care But little change in quality or utilization of services 5

Our microsimulation model suggests that PCMH payment models used in most early evaluations were not sufficient to change practice Source: Basu et al. Effects of New Funding Models for Patient-Centered Medical Homes on Primary Care Practice Finances and Services: Results of a Microsimulation Model. Ann Fam Med. September/October 2016 vol. 14no. 5 404-414 6

Key Assumption It is not rational to expect primary care practices to implement changes that adversely impact their costs or revenues 7

Changes in Care Delivery Strategies Under PCC Strategies to leverage physician effort enable time to care for larger panels Expanded staff to handle lower level visits, telephone care, e-mail, e-visits, counseling, etc. Enhanced triage to eliminate wasteful visits Enhanced care coordination capabilities Direct costs of above capabilities plus additional proportional overhead related to increased panel size 8

Results Payment Strategy Capitation (at 110% prior year s FFS level) Scenario Metric Traditional FFS 50% capitation 100% capitation Before Revenue $530181 $556690 $583199 transformation Costs $451893 $451893 $451893 Net surplus $78288 $104797 $131306 After Revenue $528877 $613641 $698405 transformation Costs $492987 $492987 $492987 Net surplus $35890 $120654 $205418 Change in net surplus ($/full-time MD/year) $-42398 $15857 $74112 9

Capitation Threshold >63% capitation needed Varies little by changes in: # visits shifted, panel size, productivity, practice location But reduces with shared savings: to 56% under 0.6% shared savings 10

Take Home Points Success under different payment models requires that PCPs/practices do things differently Existing PCMH financing strategies will not be sufficient to motivate fundamental practice transformation Moving to PCC is promising, but thresholds are higher than most people thought 11

Thank you landon@hcp.med.harvard.edu 12

Three Main Goals Underlie CPC+ Advance care delivery and payment to allow practices to provide more comprehensive care that meets the needs of all patients, particularly those with complex needs Accommodate practices at different levels of transformation readiness through two program tracks, both offered in every region Achieve the core objectives of improving the quality and efficiency of primary care 13

CPC+ Program Overview Structure, Participants, and Launch Dates ND Greater Buffalo Region (NY) Practices Over 2,800 practices participating in the model NE Payers Round 1 54 payers in 14 regions Round 2 8 payers in 4 new regions + 5 additional payers in Round 1 regions = Statewide Round 1 Region = Statewide Round 2 Region LA = Round 1 region comprising contiguous counties = Round 2 region comprising contiguous counties 5 Years 1/1/2017 Round 1 launch 1/1/2018 Round 2 launch Progress monitored quarterly 14

CPC+ Two Tracks Track 1 Pathway for practices ready to build the capabilities to deliver comprehensive primary care. Track 2 Pathway for practices poised to increase comprehensiveness of care through enhanced health IT, improve care of patients with complex needs, and inventory resources and supports to meet patients' psychosocial needs. 15

CPC+ Payment Innovations To support the delivery of comprehensive primary care, CPC+ includes three payment elements: 16

LAN Action Collaboratives A LAN Action Collaborative (AC) provides a results-oriented forum for sharing, integrating, and applying new knowledge and tailoring solutions to APM implementation challenges. ACTION COLLABORATIVE This will support committed participants with a shared aim to take more effective action in their organizations to increase effective implementation of APMs that make a collective impact on the U.S. health care system. 17

The Role Of The PAC The Intersection of the PAC and CPC+ CPC+ REGIONAL Multi-payer primary care APM designed to support practice-level transformation in 18 regions by encouraging regional payers to align alternative payment model, data sharing, and quality measure approaches SHARED MILESTONES Seeking solutions that enable better care to multi-payer primary care APM implementation challenges, such as: Aggregating multi-payer data Aligning quality measures APM payment issues TCOC considerations PAC NATIONAL Establishes a national table for regional CPC+ payers to collaboratively identify and implement solutions, share promising practices, and accelerate progress towards successful implementation of APMs in primary care 0 Strengthening collaboration and empowering participants to take action to advance APM adoption as part of improving primary care delivery and outcomes 18

Track 2 Alternative to FFS Payment: PAC Work Flow Design Implementation Practice Engagement Lines of business included Using fee schedules to calculate payment Involving practices in model design Providers/practices included Minimum volume thresholds Data feedback to practices Attribution Services included Risk adjustment Financial reconciliation Timing of rollout and first payment Level of practice risk 19

LAN Resources https://hcp-lan.org/resources/ 20

Exit Survey We want to know what you think! Please take a moment to complete the exit survey so we can continue to improve and enrich the LAN. https://www.surveymonkey.com/r/lansummitsession

Contact Us We want to hear from you! www.hcp-lan.org @Payment_Network PaymentNetwork@mitre.org Search: Health Care Payment Learning and Action Network

Thank You! OCTOBER 30, 2017 Crystal Gateway Marriott Hotel Arlington, VA

Back Up Slides 24

Team Members Sanjay Basu, MD, PhD Stanford University, Prevention Research Center; Institute for Economic Policy Research; Centers for Health Policy, Primary Care & Outcomes Research Asaf Bitton, MD, MPH Harvard Medical School, Center for Primary Care; Ariadne Labs; Center for Medicare & Medicaid Innovation Bruce Landon, MD, MBA, MSc Harvard Medical School, Department of Health Care Policy Russ Phillips, MD Harvard Medical School, Center for Primary Care Zirui Song, MD, PhD Harvard Medical School; Massachusetts General Hospital, Department of Medicine 25

Avoidable or Triage-able Visits Principal diagnosis ICD-9 Code Proportion of all visits (%) Avoidable visits 1, among visits for the principal diagnosis (%) Triage-able visits 2, among visits for the principal diagnosis (%) Hypertension 401.9 8.4 23.7 53.0 Diabetes 250 6.3 19.5 54.3 Routine exam V700 4.2 17.0 36.0 Hyperlipidemia 272.4 1.9 14.1 42.7 URI 465.9 1.6 7.6 61.8 Avoidable visits: visits for a routine chronic problem for which the treating physician did not order any laboratory studies, imaging studies, medications, or provide any health education/counseling. Triage-able visits: visits for which no new diagnostic codes were assigned to a patient, and no laboratory studies, imaging studies, or medications were ordered by the physician. 26

Potential Impact on Panel Size 27