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Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick Stephen Parente September 14, 2006 charles.roehrig@altarum .org

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Page 1: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

Forecasting National Health Expenditures in a CDHC Environment

Presentation to Consumer Driven Healthcare Summit, Washington, DC

Charles RoehrigPaul Hughes-Cromwick

Stephen ParenteSeptember 14, 2006

[email protected]

Page 2: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

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Outline

Background Modeling Framework Potential Impacts Current Evidence Forecasts

Page 3: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

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Background

What do we mean by consumer driven healthcare? High deductibles with savings accounts Increasing amounts of consumer information

•Prices•Quality•Enhanced e-tools•Shared decision-making

Incentives for healthy behavior (sometimes)

Is there a way to make this work for those with low incomes?

Page 4: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

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Background

CDHC impact on national health expenditures Near term vs. long term Direct vs. indirect

Page 5: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

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Modeling Framework

Healthcare expenditures are determined by:

Need --- which leads to Use --- which leads to Payments

This includes the impact of technology which affects all three factors

Page 6: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

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Modeling Framework

Population Needs

34%

19% 6% 8%

33%

36%

18% 7% 5%

35%

Use Payments

PrivatelyInsured

Under65

MedicaidMedicare

Uninsured65 and Over

59%

11% 2% 16%

12%

40%

15%

7% 3%

35%

100% 100% 100% 100%

Source: Altarum Health Sector Model (AHSM-US 2004)

Page 7: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

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Potential Impacts

Why CDHC might reduce need:

Risky behavior since own health care $ at stake Preventive services if exempt from deductible HSA contributions tied to healthy behaviors Cultural shift driven by:

•Better information•Constant media attention to health issues

Depends upon benefit design

Page 8: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

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Potential Impacts

Why CDHC might increase need:

Preventive services if not exempt from deductible

Reduced adherence to prescribed medications Postponement of necessary care / delayed Dx

Depends upon benefit design

Page 9: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

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Potential Impacts

Why CDHC might reduce utilization:

Higher deductible raises price to consumer Information will increase self-care options Shared decision-making tends to reduce use

Depends upon benefit design

Page 10: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

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Potential Impacts

Why CDHC might increase utilization:

More preventive services to avoid future costs Care is free after exceeding deductible Better access for previously uninsured

Depends upon benefit design

Page 11: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

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Potential Impacts

Why CDHC might reduce prices paid: Individuals will shop for lower prices due to:

•Higher deductible•Better price and quality information•An environment that encourages price consciousness

Prices will fall for products/services due to:•Increased price elasticity of demand•Discounts for cash or HSA debit card payment•Long term: shift toward cost reducing innovations

Depends upon benefit design

Page 12: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

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Potential Impacts

CDHC has the potential to affect long term trends primarily through relentless pressure on prices Current system rewards expensive innovations CDHC rewards innovations that improve value

•Lower cost ways of achieving same benefit•Same-cost ways of gaining much greater benefits

Will CDHC bargain hunters drive cost-reducing innovation? Will reduced prices simply lead to increased utilization?

What about high-cost illness?

Page 13: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

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Potential Impacts

Population Category

Percent of Population

Percent of Spending

Per Capita Spending

Very Healthy 40% 2% $200

Somewhat Healthy 52% 43% $3,500

Chronically Ill 7% 30% $17,000

Catastrophic 1% 25% $100,000

Illustrative Privately Insured Population

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Potential Impacts

Will CDHC impact spending above the deductible?It could conceivably happen this way:

Step 1: Deductible-driven bargain hunting induces and rewards cost-reducing innovations

Step 2: These innovations are incorporated into management of spending above the deductible (tail wags the dog)

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Potential Impacts

SummaryCDCH has the potential to reduce personal health expenditures through: Reducing need Reducing utilization Reducing prices

Depends upon benefit design

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Current Evidence: Industry

Aetna•Fewer primary care visits•More specialist visits•Fewer ER visits•Fewer hospital admissions•Lower expenditure increases

Humana•Greater use of primary care and prescriptions•Less use of ER and specialists•Better adherence to maintenance medications•Overall reduction in rate of increase in expenditures

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Current Evidence: Industry

Lumenos•Increased preventive care•Reduced outpatient visits•Reduced pharmaceutical costs – more generics•Reduced cost trend•Improvements in diet and exercise

UnitedHealth Group•Increased use of preventive care•Reduced use of hospital and ER•Expenditures actually fell

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Current Evidence: Researchers

Greene•No impact on use of generics•Discontinuation of some “essential” chronic illness medications

Parente•Some reduction in pharmaceutical costs but no decline in brand

name share•Increase in hospital costs – free care after deductible

Note: plan studied was ‘generous’

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Current Evidence: Conclusions

Industry and academia differ•Academia provides details to support conclusions•Industry has not released underlying evidence

Academic research may not be representative•Mostly HRAs•Limited to a few companies and plans•Primarily ‘generous’ plans

Different CDHPs will have different impacts

Page 20: Forecasting National Health Expenditures in a CDHC Environment Presentation to Consumer Driven Healthcare Summit, Washington, DC Charles Roehrig Paul Hughes-Cromwick

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Forecasts

CDHP Enrollment Under Bush Proposal•Specifics of proposal•Minnesota enrollment estimation model•Enrollment estimates

Impact on National Health Expenditures•CDHP assumptions• Altarum Health Sector Model (AHSM)•AHSM expenditure estimates

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Bush 2006 Proposal

President’s 2006 State of the Union (SOTU) speech and explained in detail in the 2006 Treasury Blue Book. As we understand that proposal, it has three related parts:

1. Tax treatment of HDHP premiums: Individuals covered by eligible HDHP would be allowed an “above-the-line” deduction in determining their adjusted gross income. In order to further level the playing field between individual health insurance and ESI, individuals covered by eligible HDHP would receive a refundable tax credit equal to the lesser of: (1) 15.3 % of the HDHP premium or (2) 15.3% of their wages subject to employment taxes.

2. Tax treatment of HSA contributions: The amount that could be contributed before taxes to the HSA would be increased to the out-of-pocket limit for the individual’s HDHP (currently, $5,250 for single coverage and $10,500 for family coverage). In effect, this provision would make all out-of-pocket spending under the HDHP eligible for pre-tax status. In addition, individuals making after-tax contributions to the HSA would be allowed an employment tax credit similar to the premium credit described in #1 above.

3. Low-income tax credit: A refundable tax credit would be offered to low-income individuals and families for the purchase of eligible HDHP. The credit would provide a subsidy of up to 90 % of the health insurance premium, up to a maximum dollar amount, and it would be phased down to zero at higher incomes. Full details of the credit are provided in the 2006 Treasury Blue Book.

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Minnesota CDHP Enrollment Model

Estimate plan offerings using linked data

Merge employer data

Estimate hedonic premium regression

Assign plan choices to full MEPS sample

Estimate plan choice regression

Use parameter estimates to predict plan choice probabilities for MEPSRe-scale take-up rates

Define HSA plan design & premium

Simulate impact of proposed policies

Model Estimation

Choice set Assignment/Prediction

Policy Simulation

MEPSData Sources CDHPs eHealthinsurance

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Enrollment Estimates

Simple table by age and by source

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CDHP Assumptions

Assume generous plan as studied by Parente Use of Rx falls by 10% No other effects

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Altarum Health Sector Model

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AHSM Expenditure Estimates