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P4P4P: Pay for Performance for PatientsCan Value-Based Insurance Design Work in Practice?
Allison B. Rosen, MD, ScD
University of Michigan Schools of Medicine and Public HealthHealth Services Research & Development, Ann Arbor VA Medical Center
Academy HealthJune 9, 2008
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Health Care Cost Crisis
“The nation’s long-term fiscal balance will bedetermined primarily by the future rate of healthcare cost growth.”
-- Peter Orszag, Director, Congressional Budget Office
Testimony before Senate Budget Committee, June 21, 2007.
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Health Care Cost CrisisRemedies Must Balance Cost / Quality Tradeoff
Financial incentives to moderate utilization will
undoubtedly be part of the solution
Yet, if not carefully aligned, they may worsen alreadypervasive problems in quality of care
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Benefit Design Trends: Cost SharingConsumer Driven Health Plans in 2008
Historically, several mechanisms have been used to containcosts (most without evidence of effectiveness)
Currently, consumer driven health plans appear to be thecenterpiece of competitive market based reform proposals
These plans charge consumers high out-of-pocket fees− Will likely reduce employer costs & cost growth in the short run− May lead to worse clinical outcomes
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Consumers Do Not Respond to Cost Sharing asEconomists Would Like
For excellent review, see Goldman et al., JAMA 2007;298:61.
When copays are applied uniformly across services of varying
health benefit, CDHP relies on informed consumers makingwise choices – presumably to maximize health benefits
Yet, a growing body of evidence demonstrates that cost-sharingreduces both excess and essential medication use alike.
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429
63
0
100
200
300
400
500
Primary Prevention Secondary Prevention
Example: Number Needed to Treat to Prevent a CardiacEvent with Statins, by Prevention Category
NNTto preventCVevent
Ellis JJ. J Gen Intern Med 2004;19:639-646.
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Statin Discontinuation Rates Stratifiedby Mean Prescription Copayment
Ellis JJ. J Gen Intern Med 2004;19:639-646.
$0 to <$10
$10 to <$20
>$20
Copay amount was the mostimportant predictor of drug
discontinuation rate
No difference between
primary and secondaryprevention groups
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Consumers Do Not Respond to Cost Sharing asEconomists Would Like
Evidence demonstrates that increased cost sharingleads to adverse health outcomes
− Effects concentrated in the chronically ill and poor
For some chronic diseases, copay-related underuseactually results in higher costs of care
Siu et al, 1986. Rice et al, 2004. Gibson et al, 2005. Goldman et al, 2007.
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Getting Services to People Who Need Them:Should the Patient Decide?
If increased cost sharing decreases the use of essentialmedications & leads to worse outcomes, is it appropriate
to place the burden of weighing the benefits and costs of medical interventions on the patient?
If not, the system should provide some guidance andincentives to promote better decisions
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Getting Services to People Who Need Them:Value-Based Insurance Design
Value-based insurance design has been proposed torealign incentives for value
Cost sharing is based on likelihood of benefit, not(solely) the acquisition cost
− The greater the benefit, the lower the co-pay
Such a system would provide financial incentives totargeted patients most likely to benefit from specifictherapies
Fendrick AM. Am J Managed Care, 2001.Rosen AB. Med Care, 2006. Chernew M. Health Affairs, 2007.
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Value Based Insurance Design (VBID)Ongoing Programs
Several ongoing experiments with VBID− These efforts are largely coming out of the private sector
Targeting is key two basic approaches
1. Target services that are high value (e.g., beta blockers)
2. Target patients with select clinical diagnoses (e.g., diabetes)
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Overview of VBID Program for Large Services Industry Employer
One of first controlled VBID studies
Services industry employer with 90,000+ U.S. employees
Reduced copays for 5 chronic medication classes withina disease management context
− ACE/ARBS − Statins
− Beta blockers − Steroids
− Glucose control
Copays waived for generics, halved for brands− Tiers 1/2/3: $5/$25/$45 $0/$12.50/$22.50
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Large Services Industry Employer VBID Implementation and Evaluation
Implemented by integrated care management firm,Activehealth Management, in conjunction with pharmacybenefits management firm
Design: Pre-post study with comparable control group
Outcomes measured:− Medication adherence− Pharmaceutical expenditures− All other (non-pharmaceutical) expenditures
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0%
2%
4%
6%
8%
10%
12%
14%
Decrease inNon-Adherenc
Ace/ ARBS BetaBlockers
Diabetes Statins Steroids
Impact of VBI
Source: Chernew et al. Health Affairs, 2007.
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Large Services Industry Employer Impact of VBID on Costs
Members OOP costs for target drugs− dropped 27% for brand names− dropped 65% for generics−
No significant changes in controlsEmployer prescription drug expenditures rose significantly
Reduction in non-prescription expenditures by roughly thesame amount
On net, overall health care costs did not changesignificantly
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University of Michigan (UM)Overview
2500+ UM employees & dependents with diabetes
Numerous quality improvement initiatives in place butunderutilization of evidence-based therapies persists
VBID program designed specifically to allow for rigorous
evaluation
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University of Michigan (UM)Institutional Environment for VBID Implementation
UM contracts with single pharmacy benefits manager (PBM)regardless of health plan selection
UM owns a managed care organization serving ~200,000covered lives in S.E. Michigan
Over 80% of UM workforce selects UM MCO as health plan
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University of MichiganVBID Overview
Partnered with UM Benefits office, UM MCO, and PBMto implement copayment reductions
UM employees and dependents with diabetes receiving2 year intervention of copay reductions for:
− ACE Inhibitors and ARBs− Other antihypertensives− Statins− Glycemic agents− Antidepressants
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University of Michigan InterventionOverview
Design: Interrupted time series with comparable control group
2,507 in UM VBID group and 8,637 in control group identified bypharmacy claims for diabetes medications
VBID designed to maintain underlying incentive structure− Tier 1 (Generics) Copays waived− Tier 2 (Preferred Brand) Copays reduced 50%− Tier 3 (Non-preferred brand) Copays reduced 25%
Outcomes measured:− Medication uptake, medication adherence***− pharmacy and non-pharmacy spending
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Medication Uptake by Individuals with DiabetesBefore and After Intervention
Metformin ACE/ARBs Statins SSRIs
Pre UM 54% 43% 45% 22%
Post UM 61% 48% 50% 24%
Pre Control 54% 49% 45% 19%
Post Control 56% 48% 45% 19%
Relative Diff Relative Diff +9.0%+9.0% +10.4%+10.4% +11.5%+11.5% +11.2%+11.2%
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Mean Adherence to ACE/ARB(Conditional on Using an ACE/ARB)
5 0 %
5 5 %
6 0 %
6 5 %
7 0 %
7 5 %
8 0 %
8 5 %
9 0 %
Q tr1 Q tr2 Q tr3 Q tr4
Quarte rs Pre (7/05 - 6/06) & Pos t (7/0
M e a n A d h e r e n c e ( A
d j u s t e d M P R )
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Focus on DiabetesConclusions from Preliminary Analyses
Targeted copay reductions increased uptake of drugs
Among those using the medications, adherenceremained unchanged
VBID-type interventions may be a useful adjunct toefforts aimed at increasing patient initiation of highvalue medications
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"There's a lot of buzz from vendors and consultants aboutconsumer-driven health plans, but many employers are
skeptical about cost savings. Some have crunched thenumbers themselves and don't see the savings."
− Paul Ginsburg, Center for Health System Change
Most Common VBID Question From Employers:What Is The Return On Investment?
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Value Based Insurance DesignMaximizing Return On Investment
Incremental costs of increased use of high value servicescan be subsidized by:
1. Medical cost offsets− Amount saved by preventing adverse events will be
directly related to level of clinical targeting
1. Enhanced productivity
2. Reduced disability costs3. Higher cost sharing for services of lower value
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Fundamental Health Policy Question
How do we organize and finance health care toachieve maximum value for what we spend?
**NOT: “How do we save money?”
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“The challenges will be substantive for insurerswho pursue value-based insurance design. Yet,…it reminds us that the primary objective of
giving patients “skin in the game”is to enhance their health.”
Bach PB. NEJM. 2008.358:411