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Adrian Towse
Director of the Office of Health Economics
Visiting Professor London School of Economics
HTAi Tokyo May 2016
Operationalising Value-based Pricing:
Do we know what we Value and What
we are giving up to get it?
HTAi Tokyo May 2016
Background
In UK, decisions to approve/reject new
health care technologies taken by Health
Technology Assessment (HTA) agencies:
ā€¢ National Institute for Health and Care
Excellence (NICE) in England
ā€¢ All Wales Medicines Strategy Group (AWMSG)
in Wales
ā€¢ Scottish Medicines Consortium (SMC) in
Scotland
HTAi Tokyo May 2016
England ā€“ NICE Threshold
Question asked by Claxton et al. (2015):
ā€¢ On average, across PCTs in England, how
much does it cost to produce one QALY?
ā€¢ Argued to represent opportunity cost of HTA
recommendations
ā€¢ E.g. if NICE recommends new technology which
requires more NHS funds per QALY gained than
this average ļƒ  overall decrease in QALYs produced
by health service (displacement effect)
ā€œBest estimateā€ = Ā£12,936 per QALY gained
HTAi Tokyo May 2016
England: Data limitations
Key issue = substantial data limitations
1. Absence of quality of life (QoL) data ļƒ  authors use
mortality data and make series of transformations to adjust
for QoL
2. Incomplete mortality data ā€“ good quality data available for
only 4/23 Programme Budget Categories; poorer quality
data available for additional 7
3. Absence of time-series data ļƒ  authors forced to use
estimated differences across PCTs as proxy for differences
within PCTs over time
Key consequence of data limitations = strong assumptions ļƒ  high
degree of uncertainty
HTAi Tokyo May 2016
England: Key assumptions
Key assumptions:
1. Duration of effect of expenditure on mortality
2. Future mortality risk of patients saved due to increased expenditure
3. Future quality of life of patients saved due to increased expenditure
Best estimate of Ā£12,936 is product of particular combination of
ā€œconservativeā€ and ā€œoptimisticā€ options for these assumptions
Different combinations give very different answers
Additional key assumption not tested: PCTs are as good at achieving QoL
gains as at achieving LYGs (DALY disease burden used to pro-rata QoL gains
based on LYGs)
DH is commissioning the Claxton team to collect new data and test
assumptions 1-3
OHE has a report of possible future research option (see Karlsberg Shaffer
et al., 2016b)
HTAi Tokyo May 2016
England: Combinations of three key
assumptions
In my view the Ā£30,270 estimate is the most plausible, rather than the Ā£12,936
HTAi Tokyo May 2016
Scotland: OHE Study Data
Two sources of data for identifying ā€˜marginalā€™ services:
1. NHS Budget Scrutiny (2012/13)
ā€¢ Performed by Health and Sport Committee of
Scottish Parliament
ā€¢ Data available for all 14 NHS Boards
2. Semi-structured interviews with Directors of Finance
of 12/14 Boards (89% of Scottish population)
HTAi Tokyo May 2016
Scotland: Data (2)
Relevant budget scrutiny questions:
ā€¢ 4(b): ā€œPlease identify the three main
areas in which ā€¦ savings will be made
ā€¦ in 2012-13ā€
ā€¢ 5(a): ā€œPlease give three examples of
service developments that you have
been able to fund in 2012-13ā€
ā€¢ 5(b): ā€œPlease give three examples of
service developments that you would
consider priorities, but have been
unable to fund in 2012-13ā€
Threshold upper bound
Threshold lower bound
Threshold upper bound
HTAi Tokyo May 2016
Scotland: Results
HTAi Tokyo May 2016
Scotland: Implications
ā€¢ Huge variation in Ā£/QALY estimates ā€“ both within and between services
ā€¢ If take median estimate across services, threshold = Ā£1,516ā€“1,017,844
per QALY
ļƒ  Not possible to obtain reliable estimate of threshold in Scotland
ā€¢ Cost per QALY evidence never used to justify marginal spending decisions
ā€¢ Decisions driven by range of other factors, e.g.:
ā€¢ Scottish Government initiatives
ā€¢ Patient convenience
ā€¢ Waiting time targets
ā€¢ Benchmarking against other NHS Boards
ā€¢ Explicit disinvestment occurs very rarely
ā€¢ Savings generally sought from efficiency improvements
HTAi Tokyo May 2016
Wales: Methods
Semi-structured interviews with Medical and/or
Finance Directors of all 7 Local Health Boards
(LHBs) in NHS Wales
Key interview sections:
1. Procedures, policies & guidelines for prioritisation at
LHB
2. How in practice LHBs found funds to comply with
NICE TAs issued in study period (Oct 2010- March
2013)
3. How LHBs accommodated other financial ā€œshocksā€
HTAi Tokyo May 2016
Wales: Discussion/conclusions
Implicit in displacement assumption is that:
ā€¢ LHB budgets are fixed and fully deployed
ā€¢ Providers are not x-inefficient
Evidence in this paper that opportunity cost is
not wholly felt in terms of displacement of
other NHS services
Opportunity cost falls at least in part:
ā€¢ Outside the NHS (other areas of public spending)
ā€¢ By increased efforts to improve efficiency
HTAi Tokyo May 2016
References
Barnsley, P., Towse, A., Karlsberg Schaffer, S. and Sussex, J (2013). Critique of CHE
Research Paper 81: Methods for the Estimation of the NICE Cost Effectiveness
Threshold. OHE Occasional Paper at: https://www.ohe.org/publications/critique-che-
research-paper-81-methods-estimation-nice-cost-effectiveness-
threshold#sthash.xFhhxHHK.dpuf
Claxton K, Martin S, Soares M, Rice N, Spackman E, Hinde S, et al. (2015). Methods for
the estimation of the National Institute for Health and Care Excellence cost-
effectiveness threshold. Health Technol Assess;19 (14)
Karlsberg Schaffer, S., Sussex, J., Devlin, N., & Walker, A. (2015). Local health care
expenditure plans and their opportunity costs. Health Policy, 119(9), 1237-1244
Karlsberg Schaffer, S., Sussex, J., Hughes, D., & Devlin, N. (2016a). Opportunity costs
and local health service spending decisions: a qualitative study from Wales. BMC Health
Services Research, 16(1), 1.
Karlsberg Schaffer, S., Cubi-Molla, P., Devlin, N. and Towse, A. (2016b) Shaping
Research Agenda to Estimate Cost-effectiveness Thresholds for Decision Making. OHE
Consulting. Available at: https://www.ohe.org/publications/shaping-research-agenda-
estimate-cost-effectiveness-thresholds-decision-making#sthash.OuKI6Wjl.dpuf
Adrian Towse
The Office of Health Economics
Registered address Southside, 7th Floor, 105 Victoria Street,
London SW1E 6QT
Website: www.ohe.org Blog: http://news.ohe.org
Email: atowse@ohe.org
THANK YOU FOR YOUR ATTENTION

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Operationalising Value-based Pricing: Do we know what we value and what we are giving up to get it?

  • 1. Adrian Towse Director of the Office of Health Economics Visiting Professor London School of Economics HTAi Tokyo May 2016 Operationalising Value-based Pricing: Do we know what we Value and What we are giving up to get it?
  • 2. HTAi Tokyo May 2016 Background In UK, decisions to approve/reject new health care technologies taken by Health Technology Assessment (HTA) agencies: ā€¢ National Institute for Health and Care Excellence (NICE) in England ā€¢ All Wales Medicines Strategy Group (AWMSG) in Wales ā€¢ Scottish Medicines Consortium (SMC) in Scotland
  • 3. HTAi Tokyo May 2016 England ā€“ NICE Threshold Question asked by Claxton et al. (2015): ā€¢ On average, across PCTs in England, how much does it cost to produce one QALY? ā€¢ Argued to represent opportunity cost of HTA recommendations ā€¢ E.g. if NICE recommends new technology which requires more NHS funds per QALY gained than this average ļƒ  overall decrease in QALYs produced by health service (displacement effect) ā€œBest estimateā€ = Ā£12,936 per QALY gained
  • 4. HTAi Tokyo May 2016 England: Data limitations Key issue = substantial data limitations 1. Absence of quality of life (QoL) data ļƒ  authors use mortality data and make series of transformations to adjust for QoL 2. Incomplete mortality data ā€“ good quality data available for only 4/23 Programme Budget Categories; poorer quality data available for additional 7 3. Absence of time-series data ļƒ  authors forced to use estimated differences across PCTs as proxy for differences within PCTs over time Key consequence of data limitations = strong assumptions ļƒ  high degree of uncertainty
  • 5. HTAi Tokyo May 2016 England: Key assumptions Key assumptions: 1. Duration of effect of expenditure on mortality 2. Future mortality risk of patients saved due to increased expenditure 3. Future quality of life of patients saved due to increased expenditure Best estimate of Ā£12,936 is product of particular combination of ā€œconservativeā€ and ā€œoptimisticā€ options for these assumptions Different combinations give very different answers Additional key assumption not tested: PCTs are as good at achieving QoL gains as at achieving LYGs (DALY disease burden used to pro-rata QoL gains based on LYGs) DH is commissioning the Claxton team to collect new data and test assumptions 1-3 OHE has a report of possible future research option (see Karlsberg Shaffer et al., 2016b)
  • 6. HTAi Tokyo May 2016 England: Combinations of three key assumptions In my view the Ā£30,270 estimate is the most plausible, rather than the Ā£12,936
  • 7. HTAi Tokyo May 2016 Scotland: OHE Study Data Two sources of data for identifying ā€˜marginalā€™ services: 1. NHS Budget Scrutiny (2012/13) ā€¢ Performed by Health and Sport Committee of Scottish Parliament ā€¢ Data available for all 14 NHS Boards 2. Semi-structured interviews with Directors of Finance of 12/14 Boards (89% of Scottish population)
  • 8. HTAi Tokyo May 2016 Scotland: Data (2) Relevant budget scrutiny questions: ā€¢ 4(b): ā€œPlease identify the three main areas in which ā€¦ savings will be made ā€¦ in 2012-13ā€ ā€¢ 5(a): ā€œPlease give three examples of service developments that you have been able to fund in 2012-13ā€ ā€¢ 5(b): ā€œPlease give three examples of service developments that you would consider priorities, but have been unable to fund in 2012-13ā€ Threshold upper bound Threshold lower bound Threshold upper bound
  • 9. HTAi Tokyo May 2016 Scotland: Results
  • 10. HTAi Tokyo May 2016 Scotland: Implications ā€¢ Huge variation in Ā£/QALY estimates ā€“ both within and between services ā€¢ If take median estimate across services, threshold = Ā£1,516ā€“1,017,844 per QALY ļƒ  Not possible to obtain reliable estimate of threshold in Scotland ā€¢ Cost per QALY evidence never used to justify marginal spending decisions ā€¢ Decisions driven by range of other factors, e.g.: ā€¢ Scottish Government initiatives ā€¢ Patient convenience ā€¢ Waiting time targets ā€¢ Benchmarking against other NHS Boards ā€¢ Explicit disinvestment occurs very rarely ā€¢ Savings generally sought from efficiency improvements
  • 11. HTAi Tokyo May 2016 Wales: Methods Semi-structured interviews with Medical and/or Finance Directors of all 7 Local Health Boards (LHBs) in NHS Wales Key interview sections: 1. Procedures, policies & guidelines for prioritisation at LHB 2. How in practice LHBs found funds to comply with NICE TAs issued in study period (Oct 2010- March 2013) 3. How LHBs accommodated other financial ā€œshocksā€
  • 12. HTAi Tokyo May 2016 Wales: Discussion/conclusions Implicit in displacement assumption is that: ā€¢ LHB budgets are fixed and fully deployed ā€¢ Providers are not x-inefficient Evidence in this paper that opportunity cost is not wholly felt in terms of displacement of other NHS services Opportunity cost falls at least in part: ā€¢ Outside the NHS (other areas of public spending) ā€¢ By increased efforts to improve efficiency
  • 13. HTAi Tokyo May 2016 References Barnsley, P., Towse, A., Karlsberg Schaffer, S. and Sussex, J (2013). Critique of CHE Research Paper 81: Methods for the Estimation of the NICE Cost Effectiveness Threshold. OHE Occasional Paper at: https://www.ohe.org/publications/critique-che- research-paper-81-methods-estimation-nice-cost-effectiveness- threshold#sthash.xFhhxHHK.dpuf Claxton K, Martin S, Soares M, Rice N, Spackman E, Hinde S, et al. (2015). Methods for the estimation of the National Institute for Health and Care Excellence cost- effectiveness threshold. Health Technol Assess;19 (14) Karlsberg Schaffer, S., Sussex, J., Devlin, N., & Walker, A. (2015). Local health care expenditure plans and their opportunity costs. Health Policy, 119(9), 1237-1244 Karlsberg Schaffer, S., Sussex, J., Hughes, D., & Devlin, N. (2016a). Opportunity costs and local health service spending decisions: a qualitative study from Wales. BMC Health Services Research, 16(1), 1. Karlsberg Schaffer, S., Cubi-Molla, P., Devlin, N. and Towse, A. (2016b) Shaping Research Agenda to Estimate Cost-effectiveness Thresholds for Decision Making. OHE Consulting. Available at: https://www.ohe.org/publications/shaping-research-agenda- estimate-cost-effectiveness-thresholds-decision-making#sthash.OuKI6Wjl.dpuf
  • 14. Adrian Towse The Office of Health Economics Registered address Southside, 7th Floor, 105 Victoria Street, London SW1E 6QT Website: www.ohe.org Blog: http://news.ohe.org Email: atowse@ohe.org THANK YOU FOR YOUR ATTENTION