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Cost, Evidence and Comparative Effectiveness Research Data in Benefit Design –
                              An Exploratory Study


                             Harald Schmidt
Fellow,
Fellow Kolleg Forschergruppe, Uni Münster Research Associate LSE Health
              Forschergruppe      Münster,         Associate,
                            Nuffield Trust, H3 March 11
Objectives
• With CER push: (how) will public and private payers consider
                       g
  value in benefit design?

• Implementation mechanisms: what’s feasible and fair?

• Within vs across disease prioritizations: potential?

• What role for public engagement?

• Patient Centered Outcomes Research Institute (PCORI): how
  can it help maximize CER benefits?
Objectives
• With CER push: (how) will public and private payers consider
                       g
  value in benefit design?

• Implementation mechanisms: what’s feasible and fair?

• Within vs across disease prioritizations: potential?

• What role for public engagement?

• Patient Centered Outcomes Research Institute (PCORI): how
  can it help maximize CER benefits?
Two examples
Prostate cancer management, Plavix/Effient trial:
Policy spectrum:
• Provide all options – physician/patient judgment
• Differential copays /Value Based Insurance Design (
                 p y                               g (VBID)
                                                          )
• Other steering (information, counseling…)
• Deny coverage/access
• Other
-> Consensus: no ban, but shared decision making and use of
  info.
  info Over time move down the ladder (3 5 Y)
             time,                        (3-5
Copays and VBID/’top-up’ payments
Pro:
• “employers need it simple” branded/generic concept clear and
         y                                g
  accepted, signaling effect
Con:
• blunt & potentially unfair (Newhouse/RAND),
                              (Newhouse/RAND)
• operationalizability: “just good for low hanging fruit”?
Key:
• robustness of evidence, admin cost, feasibility (co-pays used
  or not… payers vs payer/provider systems)
• Fairness within group (Plavix): don’t penalize victims of
                                    don t
  genetic lottery
• Fairness across groups: Who and why? (diabetics….)
• Instead of drugs: focus on choice of providers, wellness
  incentives
Fellowship meetings and travel oppt
and VBID/’top up’ payments
     VBID/ top-up
Sept: Orientation & qualitative methods / NYC
Nov: CMWF Intl Symposium / DC
Jan: IHI/CMWF Fellow Summit / Boston
Feb: Policy mtg / DC
          y g
May: Canada trip
June: final reporting seminar / NYC

Research related travel…
Harald Schmidt: Research data in benefit design
Harald Schmidt: Research data in benefit design
Harald Schmidt: Research data in benefit design
Harald Schmidt: Research data in benefit design
Harald Schmidt: Research data in benefit design
Harald Schmidt: Research data in benefit design
Harald Schmidt: Research data in benefit design
Harald Schmidt: Research data in benefit design

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Harald Schmidt: Research data in benefit design

  • 1. Cost, Evidence and Comparative Effectiveness Research Data in Benefit Design – An Exploratory Study Harald Schmidt Fellow, Fellow Kolleg Forschergruppe, Uni Münster Research Associate LSE Health Forschergruppe Münster, Associate, Nuffield Trust, H3 March 11
  • 2. Objectives • With CER push: (how) will public and private payers consider g value in benefit design? • Implementation mechanisms: what’s feasible and fair? • Within vs across disease prioritizations: potential? • What role for public engagement? • Patient Centered Outcomes Research Institute (PCORI): how can it help maximize CER benefits?
  • 3. Objectives • With CER push: (how) will public and private payers consider g value in benefit design? • Implementation mechanisms: what’s feasible and fair? • Within vs across disease prioritizations: potential? • What role for public engagement? • Patient Centered Outcomes Research Institute (PCORI): how can it help maximize CER benefits?
  • 4. Two examples Prostate cancer management, Plavix/Effient trial: Policy spectrum: • Provide all options – physician/patient judgment • Differential copays /Value Based Insurance Design ( p y g (VBID) ) • Other steering (information, counseling…) • Deny coverage/access • Other -> Consensus: no ban, but shared decision making and use of info. info Over time move down the ladder (3 5 Y) time, (3-5
  • 5. Copays and VBID/’top-up’ payments Pro: • “employers need it simple” branded/generic concept clear and y g accepted, signaling effect Con: • blunt & potentially unfair (Newhouse/RAND), (Newhouse/RAND) • operationalizability: “just good for low hanging fruit”? Key: • robustness of evidence, admin cost, feasibility (co-pays used or not… payers vs payer/provider systems) • Fairness within group (Plavix): don’t penalize victims of don t genetic lottery • Fairness across groups: Who and why? (diabetics….) • Instead of drugs: focus on choice of providers, wellness incentives
  • 6. Fellowship meetings and travel oppt and VBID/’top up’ payments VBID/ top-up Sept: Orientation & qualitative methods / NYC Nov: CMWF Intl Symposium / DC Jan: IHI/CMWF Fellow Summit / Boston Feb: Policy mtg / DC y g May: Canada trip June: final reporting seminar / NYC Research related travel…