Evaluating Intensive Outpatient Primary Care: VA Experience
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- Margery Parsons
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1 Evaluating Intensive Outpatient Primary Care: VA Experience Steven M. Asch MD MPH Director, Center for Innovation to Implementation Professor and Vice Chief, Stanford Division of Primary Care
2 Same problem as everywhere: Concentration of utilization and costs.. 100% 90% 80% 70% 60% 50% 40% Bottom 90% Top 10% 30% 20% 10% 0% Percent of Total VA Patients Total VA Health Care Costs Source: Analysis of 2010 HERC Average Cost data
3 But a different institutional context Integrated system Well developed Patient Centered Medical Home Patient Aligned Care Teams (PACT) Geri PACT Homeless PACT Well developed programs for complex pts Home Based Primary Care (HBPC) Mental Health Intensive Case Management (MHICM)
4
5 How do we layer IOPC on top of PACT? Intensive Management PACT (ImPACT) Other Programs PACT
6 Core Elements of ImPACT in Palo Alto Multidisciplinary Team: NP, MD, SW, Rec therapy Comprehensive intake; goal-concordant care Frequent in-person/phone contact After-hours access Chronic condition case management Coordination of primary and specialty care Rapid response to health status deterioration Support during transitions from hospital to home Access to social and community resources
7 Patient selection and evaluation design Proactive recruitment of patients at top 10% risk of future admission/cost Randomized assignment to ImPACT team Outcomes Hospitalizations/ED use Satisfaction Patient activation Costs Qualitative interviews
8 ImPACT patients satisfaction with VA improved 100% P < % P < % 40% 20% 0% General Satisfaction Communication Satisfaction Baseline Follow-Up
9
10 Monthly costs declined From Zulman DM. JAMA Int Med
11 one! but about the same as controls- Regression to the mean From Zulman DM. JAMA Int Med
12 We spread the model to test it further PACT Intensive Management (PIM) Sites San Francisco VAMC and 2 CBOCs Milwaukee VAMC Cleveland VAMC and CBOC Salisbury VAMC Atlanta CBOC
13 Allowed more variation in program elements Screened patients, triaged and assessed for services Site A Site B Site C Site D Site E X X X X X Interdisciplinary care team X X X X X Social work X X X X X Mental health/addiction support X X X X Care coordination X X X X X Home visits X X X X X Assisted with medications X X X X X Health coaching X X X X X Replace PACT team Medic support X X
14 Again randomized QI evaluation, tested similar outcomes High risk for hosp (CAN score) + hosp/ed visit <6 months PIM N=1105 PACT N=1102 Opt in N=691 Opt out of program N=414
15 Better trust, access, and coordination (in a non statistically significant sort of way) Got needed services Ease in getting care Easily accessible provider PIM PACT Respect from provider Have a trusted provider Help with coordination of care 0% 10% 20% 30% 40% 50% 60% 70% Strongly Agree
16 Inpatient costs declined 18,000 16,000 14,000 12,000 10,000 8,000 6,000 4,000 2,000 0 PIM Pre-Randomization PIM Post-Randomization PACT Pre-Randomization PACT Post- Randomization Difference-in-Difference -2,000-4,000 ^Predicted means from regression models -2,277
17 But outpatient costs went up 25,000 20,000 15,000 10,000 PIM Pre-Randomization PIM Post-Randomization PACT Pre-Randomization PACT Post-Randomization Difference-in-Difference 5,000 2,638 0 ^Predicted means from regression models * p<0.01
18 In depth qualitative interviews and provider surveys Providers appreciated the help Patients loved single point of contact Patients felt supported at specialist visits Better end of life planning Transitions from hospital to home easier.
19 Conclusions of 5 year effort thusfar Layering intensive management on top of PCMH paid for itself* Might have drawn nonva care to VA analyses underway Patient and provider satisfaction improved modestly Regression to the mean serious challenge to pre-post studies We didn t give up! Lessons: Refined selection criteria Standardized - more focus on mental health and social factors Modified program undergoing further testing
20 Thank you Donna Zulman Evelyn Chang Jean Yoon Susan Stockdale Gordon Schectman Lisa Rubenstein Michael Ong David Atkins Frances Wu Debra Hummel Marian Katz Elvira Jimenez Mingming Wang Ava Wong Angel Park Brook Watts Jessica Eng Neha Pathak Parag Dalsania Andrew Lanto Shoutzu Lin Carrie Patton Belinda Black Jeff Jackson
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