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ACO Benchmarks and Financial Success – SOA Sponsored Research
Presented by:
Rong Yi, PhDMilliman, New York City
6th National Predictive Modeling SummitDecember 6, 2012
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DISCLAIMER
The research project is sponsored by the Society of Actuaries and overseen by the Project Oversight GroupResults included in this presentation are preliminary and subject to change as work is still in progressTools used in this project are for research purposes only. Milliman does not intend to benefit any third party or endorse any commercial tools.
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Project Structure and AcknowledgementAuthors: Rong Yi, Bill O’Brien, Chun YauSOA Project Oversight Group
SOA: Steve Siegel, Sara Teppema, and Barbara ScottOptum provided the ETG grouper for this research
Louise Anderson Dewayne UllspergerDan Bailey Greger VigenJohn Bertko Jim WhislerMark Bethke Rina VertesKristi Bohn
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Paradigm ShiftWeak economy– Federal and state deficits– Uninsured
Healthcare reformConsumer Service expectations based on iPhone/Droid, not post office
Paradigm shift: permanent pressure on cost
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New Payment Systems that Cut Revenue Are Forcing Organizations to Look at Data
Payment reform schemes all cut spending– Public sector: CMMI bundled payments, Pioneer ACOs, MSSP,
State programs contracting with ACOs directly– Private sector: % of premium, PCMH, ACOs, bundlesNot all payment reform involves providers– New capitated managers: radiology benefit managers, oncology
benefit managers, post-acute benefit managers, etc.
What makes sense?– What’s the budget? What’s in it?– How much risk?– What are critical success factors?
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Example of Commercial Ambulatory Care Sensitive Admits
Ambulatory Care Sensitive Admissions (ACSAs) (Admits/1000 Commercial)
National Well
Managed
National Loosely
Managed ClientCongestive Heart Failure 1.56 2.52 3.47Bacterial Pneumonia 1.64 2.06 2.77COPD 0.52 0.83 1.30Urinary Infection 0.63 0.87 1.22Dehydration 0.21 0.35 0.78Diabetes Long Term Complications 0.14 0.24 0.47Adult Asthma 0.12 0.19 0.35Hypertension 0.06 0.14 0.21Angina 0.09 0.10 0.14Lower Extremity Amputation 0.03 0.05 0.14Diabetes Uncontrolled 0.02 0.04 0.05Diabetes Short Term Complication 0.02 0.04 0.05Total ACSAs/1000 5.04 7.44 10.97ACSAs As Portion Of Total Non-Mat Ad 14% 15% 18%
Client is a Hospital Employee and Dependent Population
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Cost of People with Diabetes - PPPM (per patient per month)
ServiceLow Utilization
RegionsHigh Utilization
Regions
Inpatient Facility $333.17 $353.91
Outpatient Facility $197.00 $284.76
Professional $222.82 $273.43
Prescription Drugs $288.66 $286.05
Other $37.52 $47.65
Additional Benefits $8.17 $2.89
Grand Total $1,087.35 $1,248.69 Allowed amounts before cost sharing. Adjusted to common fee levels Source: Milliman analysis of Marketscan® 2010 database
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Variation in Professional Cost
Sources, Medicare 5% Sample from 2009, Milliman Health Cost Guidelines
Nationwide Avg Well Managed
BenefitTotal Util Per
1,000 Members
Average
Paid per
Service
Paid
PMPM
Total Util Per 1,000
Members
Average
Paid per
Service
Paid
PMPM
Inpatient Surgery ‐
Primary Surgeon 431 procs $279.96 $10.06 248 procs $452.79 $9.35
Inpatient Surgery ‐
Asst. Surgeon 48 procs $107.36 $0.43 27 procs $170.78 $0.39
Inpatient Anesthesia 150 procs $171.56 $2.15 92 procs $195.73 $1.50
Outpatient Surgery 686 procs $192.55 $11.01 341 procs $294.23 $8.37
Hosp Visits 3,501 visits $61.57 $17.96 1,926 visits $90.60 $14.54
Office/Home Visits 7,716 visits $49.63 $31.91 7,466 visits $63.26 $39.36
All Other Professional $120.68 $67.85
Medicare Population
Oct 25, 2012. Milliman, New York
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Questions from the ACO CommunityWhat works and what don’t?– What segment of the population and what service components can
be managed effectively to generate shared savings?
How am I doing currently? Where can I be going forward?– What’s the benchmark and how do I compare to benchmarks?
or?
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SOA ACO Project’s Main ObjectivesEstablish a methodology to develop cost and utilization benchmarks within an episode of care
• Control for benefit design and reimbursement• Control for health status
Develop a financial model to estimate potential savings within episodes of care, as an ACO’s care efficiency improvesBring population payment methodology and bundled payments together under one analytic structure
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SOA ACO Project’s Main Objectives (cont.)
Develop an analytic framework to evaluate different delivery systems– Hospital based vs. physician based– High cost vs. low cost area
Financial stability in relation to the size of the ACO
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Step 1 - Selecting Episodes
10 Base ETGs– Essential part of the commercial population– Highly relevant to population health management– Included in published literature such as PROMETHEUS– High cost variation at the episode level, perhaps resulting from
• Medical comorbidities and health status– Risk adjustment
• Various treatment options– Repricing claims
• Practice pattern differences – referrals, care setting, prescriptions• Patient socioeconomic status, preferences, compliance • Other factors
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10 Base ETGs
Hyperlipidemia, otherHypertensionJoint degeneration, localized – backDiabetesIschemic heart diseaseCerebral vascular diseaseAsthmaPregnancy, with deliveryCongestive heart failureChronic obstructive pulmonary disease
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DRAFT Table 1ACO Episode Risk‐Adjustment StudyAggregate Costs by Episode TypeEntire 3 Million Population
Episode Type:
Included Episodes per Thousand
Member per Year
Normalized Allowed Cost per Included Episode PMPM
Asthma #No Complication and No Surgery 0 32.6 803.3 2.18$
with Complication Only 1 8.1 1,415.8 0.95$ with Surgery Only 2 ‐ ‐ ‐$
with Complication and Surgery 3 ‐ ‐ ‐$
Total Asthma 40.7 924.51 3.14$
Ischemic Heart Disease #No Complication and No Surgery 0 11.6 3,290.4 3.17$
with Complication Only 1 0.4 13,231.2 0.39$ with Surgery Only 2 0.8 36,800.3 2.35$
with Complication and Surgery 3 0.5 45,241.1 1.77$
Total Ischemic Heart Disease 13.2 7,006.66 7.68$
At Population Level
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Aggregate Costs by Episode Type1 Million Population with Area Factors
High Cost Area Medium Cost Area Low Cost AreaEpisode Type: PMPM PMPM PMPM
AsthmaNo Complication and No Surgery 2.29$ 2.09$ 2.17$
with Complication Only 1.06$ 0.92$ 0.87$ with Surgery Only ‐$ ‐$ ‐$
with Complication and Surgery ‐$ ‐$ ‐$
Total Asthma 3.36$ 3.02$ 3.03$ Ischemic Heart Disease
No Complication and No Surgery 2.91$ 3.33$ 3.28$ with Complication Only 0.36$ 0.42$ 0.38$
with Surgery Only 1.98$ 2.54$ 2.54$ with Complication and Surgery 1.53$ 1.86$ 1.91$
Total Ischemic Heart Disease 6.78$ 8.16$ 8.12$
Variations in Cost & Utilization (draft exhibit)
* Areas defined using Milliman’s area factors for total cost
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“High/Medium/Low” areas are based on Milliman’s area factors for total cost
Table 4 ‐ SubPopUtilization per 1,000 Episode Base ETG Ischemic Heart Disease ‐ All
High Medium LowService Type
Inpatient Med/Surg Admissions 130.6 132.8 138.8 Other Inpatient 1.2 0.4 0.9 Total Inpatient 131.7 133.2 139.7
Outpatient Avoidable_ER 1.4 1.3 1.6 Advanced Imaging 21.5 26.5 20.2 ER ‐ Urgent 88.5 113.8 131.1 OP Surgery 98.3 127.2 133.3 Radiology ‐ General 85.2 126.9 126.2 Pathology_FOP 245.6 337.4 365.1 Therapies 4.0 5.8 4.8 Other Outpatient 691.8 917.5 993.3
Draft Exhibit
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Table 4 ‐ SubPopUtilization per 1,000 Episode Base ETG Ischemic Heart Disease ‐ All
High Medium LowService TypeProfessional/OthOffice Visits 1,719.4 1,620.4 1,621.2
ER Visits 203.8 231.7 259.1 Consults 216.3 186.5 183.0 Inpatient Surgery 289.7 328.8 330.4 Outpatient Surgery 160.7 190.0 210.7 Inpatient Visits 491.6 489.7 487.7 Preventive Services 499.9 456.3 398.9 Pathology_PROF 2,877.5 2,426.5 1,562.1 Radiology 1,030.4 1,035.8 1,017.2 Physical Therapy 3.2 1.1 2.2 Cardiovascular 3,010.1 2,922.7 3,007.4 Durable Medical Equip 68.0 75.3 93.3 Home Health 24.3 33.4 23.7 Other Pro/Other 678.4 595.1 542.8 Total Pro/Other
Pharmacy Branded Drugs 3,150.3 2,995.8 3,496.7 Non‐Branded Drugs 4,006.1 4,472.2 5,442.3 Total Pharmacy 7,156.4 7,467.9 8,939.0
Table 4 continued…
Draft Exhibit
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Step 2 – Data Standardization Exhibits in Step 1 show significant cost and utilization variation.
control for the variations that we can control for:– Contractual/pricing– Health status
Repriced claims to a uniform fee scheduleRisk adjustment – Applied risk adjustment to all cost and utilization outcomes, except
for branded vs. generic drugs• Factors include age/gender and HCCs
– Some cost and utilization outcomes are correlated with health status and some do not (see next slide)
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Risk Adjustment Models for Cost Outcomes
Base ETG Label
# Episodes in Model Dev Sample Outcome Variables
Average Episode Cost
Model R‐Sq (%)
601100 Pregnancy, with delivery 44,068 Professional and all other costs $5,166.37 85.80%601100 Pregnancy, with delivery 44,068 Inpatient facility cost $6,834.91 83.57%163000 Diabetes 233,263 Professional and all other costs $521.19 39.42%386500 Ischemic heart disease 76,647 Professional and all other costs $1,392.30 39.27%601100 Pregnancy, with delivery 44,068 Outpatient facility cost $2,108.26 34.30%316000 Cerebral vascular disease 20,129 Professional and all other costs $1,466.70 28.39%386500 Ischemic heart disease 76,647 Inpatient facility cost $3,447.94 27.58%
Highest R-Squared
Lowest R-Squared
Base ETG Label
# Episodes in Model
Dev Sample Outcome Variables
Average Episode Cost
Model R‐Sq (%)
386800 Congestive heart failure 11,126 Outpatient prescription cost $199.71 0.39%164700 Hyperlipidemia, Professional and all other costs 398,559 Professional and all other costs $120.84 0.80%316000 Cerebral vascular disease 20,129 Outpatient prescription cost $190.07 0.91%438800 Asthma 236,976 Outpatient prescription cost $501.32 1.56%386500 Ischemic heart disease 76,647 Outpatient prescription cost $757.91 1.74%388100 Hypertension 654,739 Outpatient prescription cost $297.19 2.15%386800 Congestive heart failure 11,126 Outpatient facility cost $852.05 2.60%
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Before and After Risk AdjustmentInsert table 1AIschemic Heart Disease ‐ All
Population Entire 3 Million PopulationMean Percentiles ‐ Raw Data (No Risk Adjustment)
Service Type Measure Unit Raw 22.5 ‐ 27.5th 47.5 ‐ 52.5th72.5 ‐ 77.5th 87.5 ‐ 92.5th 92.5 ‐ 97.5th 97.5 ‐ 100th
Inpatient Med/Surg Admissions per Episodes 0.134 ‐ ‐ ‐ 1 1 1 Total Inpatient Costs Cost per Episo 3,447 ‐ ‐ ‐ 11,045 27,507 56,306
Outpatient Avoidable ER Visits per Episodes 0.001 0 0 0 0 0 0 Advanced Imaging per Episodes 0.023 0 0 0 0 0 0 Total Outpatient Cost per Episo 1,409 60 234 2,406 5,622 5,052 6,178
Mean Percentiles ‐ Risk AdjustedService Type Measure Unit Raw 22.5 ‐ 27.5th 47.5 ‐ 52.5th72.5 ‐ 77.5th 87.5 ‐ 92.5th 92.5 ‐ 97.5th 97.5 ‐ 100th
Inpatient Med/Surg Admissions per Episodes 0.134 0 0 0 0 0 1 Total Inpatient Costs Cost per Episo 3,447 657 1,543 4,094 9,637 16,027 20,086
Outpatient Avoidable ER Visits per Episodes 0.001 0 0 0 0 0 0 Advanced Imaging per Episodes 0.023 0 0 0 0 0 0 Total Outpatient Cost per Episo 1,409 951 1,507 1,929 2,490 1,761 2,879
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Before and After Risk Adjustment (cont.)Insert table 1A
Table 5BEpisode ranking before and after risk adjustment
Ischemic Heart Disease ‐ AllPopulation Entire 3 Million Population
Mean Percentiles ‐ Raw Data (No Risk Adjustment)Service Type Measure Unit Raw 22.5 ‐ 27.5th 47.5 ‐ 52.5th72.5 ‐ 77.5th 87.5 ‐ 92.5th 92.5 ‐ 97.5th 97.5 ‐ 100th
Professional/OthOffice Visits per Episodes 1.675 1 2 2 3 3 4 Total Pro/Other Cost per Episo 1,392 303 727 1,337 3,503 5,342 11,310
Pharmacy Total Pharmacy Cost per Episo 758 187 894 1,279 1,040 1,216 1,366
Total Cost per Episo 7,007 551 1,855 5,022 21,210 39,118 75,160
Mean Percentiles ‐ Risk AdjustedService Type Measure Unit Raw 22.5 ‐ 27.5th 47.5 ‐ 52.5th72.5 ‐ 77.5th 87.5 ‐ 92.5th 92.5 ‐ 97.5th 97.5 ‐ 100th
Professional/OthOffice Visits per Episodes 1.652 1 2 2 2 2 3 Total Pro/Other Cost per Episo 1,392 680 1,071 1,845 3,077 3,713 4,825
Pharmacy Total Pharmacy Cost per Episo 758 663 753 777 853 1,004 1,090
Total Cost per Episo 7,007 2,951 4,874 8,645 16,057 22,506 28,879
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Steps underway
Finalize risk adjustment methodologySimulations - ACOs with different population sizeDevelop the financial model for ACOs under different efficiency assumptions
Report expected to be released in late 2012 or early 2013
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Some Takeaways (so far…)
Risk adjustment can reduce some of the cost and utilization variations within an episode“My patients are sicker” cannot always be used to justify higher cost and utilization
• Professional cost has the highest correlation with health statusindustry’s emphasis on standardize preventive care and population
health management• Prescription cost has the lowest correlation with health status
Prescription patterns matters more
Savings opportunity varies by episode• Episodes conforming to standard or EBM seem to have less savings
opportunity