school of public health comparing the effectiveness of a consumer directed health plan with...
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School of Public Health
Comparing the Effectiveness of a Consumer Directed Health
Plan with Traditional Cost Sharing in Controlling Medical
Care Use and Cost
Roger Feldman/Steve ParenteUniversity of Zurich, Switzerland
June 21, 2006
This research was supported by a grant from Pfizer, Inc. The authors have no conflict of interest with the grantor.
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School of Public Health
Outline• What is a consumer directed health plan?
– General introduction and preliminary research findings
• Theory of consumer behavior– CDHP cost-sharing design creates a budget
constraint with 2 kinks – Contrast with ‘standard’ health insurance that uses
coinsurance or deductible– Determine expected effects on enrollee behavior
• Empirical model and results
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School of Public Health
‘Classic’ CDHP Model – Definity Health in Minneapolis
Definity Definity HealthHealthCareCare
AdvantageAdvantage
Web- and Web- and Phone-Phone-Based Based ToolsTools
Health ToolsHealth Toolsand Resourcesand Resources
Health Tools and Resources• Care management
programs• Internet tools to manage
HRA, find providers and services
Health Coverage• Preventive care covered
100%• Annual deductible in
$1,000s• Expenses above deductible
covered at 80-100%
Health Reimbursement Account (HRA)• Employer creates tax-
advantaged account• Member directs HRA• Account rolls over at year-end • Account does not contain ‘real’
money and does not belong to employee
Annual Annual DeductibleDeductible
Annual Annual DeductibleDeductible
Pre
ven
tive
Care
10
0%
Pre
ven
tive
Care
10
0%
Health Health CoverageCoverage
An
nu
al
Ded
uct
ible
HRAHRAHRAHRA
$$
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School of Public Health
The Health Savings Account (HSA) An HSA account is owned by the individual and used to pay for current and future medical expenses
Both employee and employer can make tax-free contributions to HSA
Used with a high deductible health plan
HSAs were enabled by the 2003 Medicare Modernization Act
Bush Administration has proposed refundable tax credits for individuals to purchase plans with HSAs
HSAs are offered by UnitedHealth, the Blues, Aetna, Cigna, Humana, and Kaiser
Annual Annual DeductibleDeductible
Annual Annual DeductibleDeductible
Pre
ven
tive C
are
P
reven
tive C
are
1
00
%1
00
%
Health Health CoverageCoverage
An
nu
al
Ded
uct
ible
HSAHSAHSAHSA
$$
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School of Public Health
Who Chooses a CDHP?
• Strongest and most consistent conclusion: CDHPs are preferred by highly-paid employees (Parente, Feldman, and Christianson, 2004)
• A large employer that offered a PPO and POS plan introduced Definity Health 2001:– 38% of employees choosing Definity had income
above the firm’s 75% percentile– 19% of POS and 29% of PPO enrollees were above
the 75th percentile of income
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School of Public Health
Do CDHPs ExperienceFavorable Selection?
• When the University of Minnesota offered a CDHP in 2002, there was no evidence of favorable selection (PFC, 2004)
• In the large employer previously mentioned, CDHP enrollees had lower baseline illness burden than the PPO but about equal to the POS plan
• In our largest sample of 80,000 covered lives in 3 employers, there is evidence of mild unfavorable selection against the CDHP
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School of Public Health
Potential HSA Take-up • Medicare Modernization Act of 2003 lets individuals and employers
contribute to tax-free health savings accounts up to the lesser of the deductible (at least $1,050 for an individual or $2,100 for a family) or a maximum set by law ($2,700 for a single person or $5,450 for a family)
• 2006 State of the Union (SOTU) proposes to eliminate all taxes on out-of-pocket spending through HSAs
• Low-income families would be offered refundable tax credits to purchase health insurance policies with HSAs
• We project that tax credits would increase HSA enrollment from 3 million to 7 million (Feldman, et al., 2005) with much of the increase coming from previously uninsured
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School of Public Health
Price-elasticity* of uninsured take-up with respect to HSA premium subsidy
* = % change in uninsured / % change in premium
Single Adults withIncome Quartile Adults Dependents
0 to 25 0.080 0.039
25 to 50 0.138 0.107
50 to 75 0.498 0.250
75 to 100 0.754 0.378
All 0.205 0.107
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School of Public Health
CDHP Effects on Cost and Use
• Evidence is very preliminary, but it suggests that CDHPs with small gap between HRA and deductible do not control cost & use (PFC, 2004)
• CDHP disadvantage is most striking for hospital cost versus POS cohort
• CDHP pharmacy cost trend is most favorable
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School of Public Health
Hospital Costs 2000-2002
$0
$500
$1,000
$1,500
$2,000
$2,500
$3,000
$3,500
2000 2001 2002
CDHP Cohort
PPO Cohort
POS Cohort
Note: costs are adjusted with 2-part model for age, gender, case-mix, income, number of covered lives in contract, and use of flexible spending account
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School of Public Health
Why is Today’s Talk Different?
• Our prior work simply compared costs or use for all enrollees in each cohort, e.g. did the CDHP cohort spend more on average than the PPO cohort?
• This research recognizes that the effects may differ within the CDHP cohort– Key insight: CDHP creates a budget
constraint with 2 kinks– Kinked budget constraint has different
incentives for ‘low’ vs. ‘high’ users of services
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School of Public Health
The Kinked CDHP Budget Constraint
Goods
Medical Care
HRA Deductible
d
a b
f Co-Insurance Budgetc
e Deductible Budget
CDHP Budget
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School of Public Health
If I Only Lived One Year…
Goods
Medical Care
FSA Budget
FSA
FSA = Flexible Spending Account
With an FSA, You ‘Use It or Lose It’ at the end of the year
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School of Public Health
Key Difference Between FSA and CDHP
• HRA lasts more than one year if you stay with the employer and HSA is owned by enrollee
• Both versions of CDHP provide ‘insurance’ against cost of possible serious illness in the future
• Risk-averse, far-sighted consumers in good health may conserve medical care in a CDHP
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School of Public Health
Model (1): Basics2 periods and 2 states of the word: ‘good health’ and
‘serious illness:’
Known probability p that healthy consumer will become seriously ill next period
Fixed money income Y and employer contribution of C in each period
C1 can only be spend on medical care; C2 can be spent on medical care or goods
Insurance policy has deductible D and no coinsurance
MMSIGWU
MMSIU
GHMHGWU
ttt
tt
ttt
;)(
;
)()(
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School of Public Health
Model (2): CDHP EquilibriumHealthy consumer’s objective function:
Solution involves finding optimal M2 given good health, then recursively choosing how much to save in the first period:
)(
])()([)1(
)()()(
1
221
1
DSCYWp
MHMSCYWp
SCHYWUE
1211 /)(/ WWEWH
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School of Public Health
CDHP Equilibrium
Goods
Medical Care
HRA Deductible
d
a b
c
CDHP Budget
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School of Public Health
Model (3): Deductible Plan
• Deductible plan (D-plan) has same F.O.C. but different equilibrium value of M1 compared with CDHP
• Suppose the D-plan enrollee had the same value of M1 as the CDHP enrollee
• That would imply equal H1 but less saving• Less saving implies a higher value of E(W2 )• That contradicts the F.O.C.
• The D-plan enrollee cuts back M1 until H1 = E(W2 )
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School of Public Health
Model (4): Coinsurance plan
• Assume the coinsurance plan (C-plan) has c % coinsurance up to a maximum limit on out-of-pocket expenditure
• At c = 1, the C-plan is identical to D-plan • At c = 0, medical care in the C-plan is ‘free’ so
there is no reason to conserve• The demand function is continuous, so there
must be 0 < c* < 1 at which M1 in the C-plan and the CDHP are equal
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School of Public Health
Predicted Spending by Budget Region
Region 1 – predicted spending less than employer contribution to HRA
Region 2 – predicted spending above HRA but below deductible
Region 3 – predicted spending above deductible
D-plan lowest
C-plan and CDHP higher with uncertain order
D-plan = CDHP <
C-plan
D-plan = CDHP =
C-plan
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School of Public Health
Data
• Large employer added a CDHP to previously-offered PPO and POS Plans in 2001
• Quasi-experimental pre/post design• We selected 3 cohorts of workers continuously
employed from 2000-2003:– Always in PPO– Always in POS– PPO or POS in 2000, switched to CDHP in 2001 and
stayed in CDHP 2002 and 2003
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School of Public Health
Plan CharacteristicsPLAN CHARACTERISTIC
CDHP POS and PPO
Employer HRA contribution
$1,000 single $1,500 2-person $2,000 family
Not applicable
Deductible $1,500 single $2,250 2-person $3,000 family
None
Coinsurance/Co-pay None $15 office visit co-pay $100 inpatient co-pay
Rx coverage Same as other covered services
$10 generic $20 formulary brand $30 non-formulary brand
Preventive Care 100% covered 100% covered Stop-loss limit $500 single
$750 2-person $1,000 family
$1,500 person (POS) $3,000 family (POS) $1,000 person (PPO) $2,000 family (PPO)
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School of Public Health
Empirical Model – Step 1
• Predict employee’s 2000 spending region on the basis of cohort, contract-level, and employee demographic data– Cohort stands in for unmeasured variables
that affect spending– Control for health status using indicators for
34 ‘adjusted diagnostic groups’ (Starfield and Weiner, 1991)
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School of Public Health
2000 Cost Model
VARIABLE COEFFICIENT STANDARD
ERROR t-
VALUE Pr > t INCOME 1.85E-07 1.59E-07 1.16 0.246 AGE 0.01505 0.00262 5.75 <.0001 MALE -0.16611 0.04602 -3.61 0.0003 #LIVES 0.05793 0.02137 2.71 0.0068 FSA 0.10172 0.053 1.92 0.0551 CDHP -0.23575 0.06433 -3.66 0.0003 PPO -0.11845 0.04877 -2.43 0.0152 R-SQUARE = .64
Dependent variable = ln(2000 total medical expenditure in contract); regression controls for 34 ADG categories
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School of Public Health
Predicted 2000 Spending Regions by Cohort
COHORT
NUMBER of OBS.
PROBABILITY OF REGION
CDHP 429 1 0.548 2 0.118 3 0.333 POS 1,249 1 0.473 2 0.126 3 0.401 PPO 1,025 1 0.465 2 0.135 3 0.400
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School of Public Health
2001-2003 Cost Models
• We estimated 2-part models for total $, physician $, Rx $, and proportion of Rx $ on brand-name drugs
• 1st part = probit analysis of any $
• 2nd part = ln($ $>0)
• Models include predicted region x Cohort
• Will present ‘key’ results
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School of Public Health
Total Expenditure PROBIT CONDITIONAL ln(TOTAL
EXPENDITURE) VARIABLE COEF. SE CHI-
SQUARE Pr > CHI-SQUARE
COEFF. SE t-VALUE
Pr > t
POS x REGION2
0.6373 0.2808 5.1499 0.0232 0.42986 0.07023 6.12 <.0001
POS x REGION3
1.1411 0.28 16.6112 <.0001 0.65593 0.04124 15.91 <.0001
CDHP x REGION1
-0.2248 0.1067 4.4411 0.0351 -0.11645 0.05238 -2.22 0.0262
CDHP x REGION2
NA NA NA NA 0.58771 0.12028 4.89 <.0001
CDHP x REGION3
NA NA NA NA 0.76523 0.06473 11.82 <.0001
Regressions control for year, age, male, income, covered lives, FSA use, concurrent ‘health shock’; omitted category = POS x REGION1; NA = ‘not applicable’ because all observations = 1
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School of Public Health
Physician Expenditure PROBIT CONDITIONAL ln(PHYSICIAN
EXPENDITURE) VARIABLE COEF. SE CHI-
SQUARE Pr > CHI-SQUARE
COEFF. SE t-VALUE
Pr > t
POS x REGION2 0.2155 0.2096 1.0575 0.3038 0.33135 0.062 5.34
<.0001
POS x REGION3 1.2256 0.2759 19.7412 <.0001 0.56323 0.03625 15.54
<.0001
CDHP x REGION1 -0.3139 0.1 9.8515 0.0017 -0.02513 0.04642 -0.54 0.5883 CDHP x REGION2 NA NA NA NA 0.5407 0.1056 5.12
<.0001
CDHP x REGION3 3.8598 83.4919 0.0021 0.9631 0.67332 0.0569 11.83
<.0001
Regressions control for year, age, male, income, covered lives, FSA use, concurrent ‘health shock’; omitted category = POS x REGION1; NA = ‘not applicable’ because all observations = 1
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School of Public Health
Rx Expenditure PROBIT CONDITIONAL ln(PHARMACY
EXPENDITURE) VARIABLE COEF. SE CHI-
SQUARE Pr > CHI-SQUARE
COEFF. SE t-VALUE
Pr > t
POS x REGION2 0.6052 0.1467 17.0323 <.0001 0.4581 0.09006 5.09
<.0001
POS x REGION3 0.809 0.0978 68.4763 <.0001 0.74921 0.05297 14.14
<.0001
CDHP x REGION1 -0.2011 0.0714 7.9363 0.0048 -0.35918 0.07034 -5.11
<.0001
CDHP x REGION2 1.2198 0.4054 9.0515 0.0026 0.23713 0.1518 1.56 0.1183 CDHP x REGION3 0.4822 0.1516 10.1168 0.0015 0.66084 0.08266 7.99
<.0001
Regressions control for year, age, male, income, covered lives, FSA use, concurrent ‘health shock’; omitted category = POS x REGION1
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School of Public Health
Brand Name Rx ProportionVARIABLE COEFFICIENT SE t-VALUE Pr > t POS x REGION2 0.07377 0.01747 4.22 <.0001 POS x REGION3 0.02545 0.01028 2.48 0.0133 CDHP x REGION1 0.07243 0.01365 5.31 <.0001 CDHP x REGION2 0.15826 0.02945 5.37 <.0001 CDHP x REGION3 0.11147 0.01604 6.95 <.0001
Regressions control for year, age, male, income, covered lives, FSA use, concurrent ‘health shock’; omitted category = POS x REGION1
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School of Public Health
Summary of Empirical Findings (1)• CDHP enrollees predicted to be ‘low spenders’
consistently spent less in following years than a comparison group with conventional cost sharing– This difference was found in all probit equations and
for cases with positive total expenditure and Rx expenditure
• This finding is striking because CDHP enrollees had no cost-sharing in this region– HRA account provides insurance against future
expenses
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School of Public Health
Summary (2)• CDHP enrollees predicted to be in Region 2 or 3
spent more than the comparison POS group– This finding is similar to our previous cohort study in
2001 and 2002 (PFC, 2004)– CHDP enrollees in Region 3 have used their accounts
and face no cost-sharing at the margin no incentive to conserve on medical care
• The maximum out-of-pocket limit is too low– Problem could be addressed by raising the limit and
introducing modest coinsurance above the limit
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School of Public Health
Summary (3)
• Tiered pricing steers POS enrollees away from brand name prescription drugs
• More results will be forthcoming (Parente, Feldman, and Song, 2006)
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School of Public Health
Final Thoughts• Both CDHP and deductible plans
represent return to ‘demand side cost-sharing’ in US health care
• Is consumer directed health care just ‘deductible-lite’?
• Our models suggest that CDHP is welfare-inferior to deductible plan because it imposes an additional constraint on enrollee – But we ignored the tax subsidy for HRA