Dangerous Omissions – the Cost of Ignoring Decision Uncertainty
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Transcript of Dangerous Omissions – the Cost of Ignoring Decision Uncertainty
Dangerous Omissions – the Cost of Ignoring Decision Uncertainty
Mark Sculpher
Susan Griffin
Karl Claxton
Steve Palmer
Centre for Health Economics, University of York,
Background
• Increasing demands to assess new drugs closer to launch• Inevitable uncertainty in evidence• Hence a series of linked questions
– Should a technology be adopted?– How uncertain is this decision?– Is more evidence needed?
• But decisions may be fragmented• Need a methods framework to handle these questions
What are the decisions?
• Should a technology be adopted given existing information?– Which clinical strategies are worthwhile? – For which patient groups?
• Is current evidence sufficient to support use in NHS?– Do we need more evidence?– What type of evidence is required?– What additional research should be conducted to provide this
evidence?
What are the decisions?
• Should a technology be adopted given existing information?– Which clinical strategies are worthwhile? – For which patient groups?
• Is current evidence sufficient to support use in NHS?– Do we need more evidence?– What type of evidence is required?– What additional research should be conducted to provide this
evidence?
£20,000
2 QALYs =
= 2 – £20,000
£20,000
Is it cost-effective?Is it worthwhile?
Is the ICER less than the cost-effectiveness threshold?
If the cost-effectiveness threshold is £20,000 per QALY, B is cost-effective
Is net benefit positive? Net health benefit = QALYs gained – QALYs lost
Net money benefit = £ value of QALYs gained – additional costs
= 2 x £20,000 – £20,000
Additional cost
QALYs gained ICER = = £10,000 per QALY
= 2 – 1 = 1 QALY
= £20,000 = 1 QALY
= 2 – £20,000
£20,000
Should a technology be adopted?
Treatment A
QALY Cost
Treatment B
QALY Cost
2 £30,000
3 £20,0004 £40,000
1 £10,000
0 £ 5,0002 £15,000
1 £10,000
3 £30,000
Additional cost
QALYs gained ICER =
£20,000
2 QALYs = = £10,000 per QALY
Is the ICER less than the cost-effectiveness threshold?
£10,000 per QALY < £20,000 per QALY, B is cost-effective
Is net benefit positive?
Net health benefit = QALYs gained – QALYs lost
= 2 – 1 = 1 QALY
Net money benefit = £ value of QALYs gained – additional costs
= 2 x £20,000 – £20,000 = £20,000 = 1 QALY
What are the decisions?
• Should a technology be adopted given existing information?– Which clinical strategies are cost-effective? – For which patient groups?
• Is current evidence sufficient to support use in NHS?– Do we need more evidence?– What type of evidence is required?– What additional research should be conducted to provide this
evidence?
How uncertain is a decision?
What’s the best we can do now? But we are not always right
Choose B and expect 13 QALYs Chance that B is the best = 3/5 = 0.6
Chance that A is the best = 2/5 = 0.4
Chance that C is the best = 0/5 = 0
So if we adopt B the probability of error = 0.4
How things could turn out
Net Health Benefit
Best choiceTreatment A Treatment B Treatment C
Possibility 1 9 12 8 B
Possibility 2 12 10 9 A
Possibility 3 14 17 11 B
Possibility 4 11 10 10 A
Possibility 5 14 16 12 B
Average 12 13 10
How uncertain is the decision?
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
£0 £10,000 £20,000 £30,000 £40,000 £50,000 £60,000
Cost-effectiveness threshold
Pro
ba
bili
ty c
ost
-effe
ctiv
e
B
A
C
Choose A Choose B
ICER = £25,000 per QALY
Why does uncertainty matter?
What’s the best we can do now? Could we do better?
Choose B and expect 13 QALYs If we knew we get 13.6 QALYs
Maximum benefit of more evidence is 0.6 QALYs
But is it worth it?
How things could turn out
Net Health Benefit Best we could do if we knew
What we could loseTreatment A Treatment B Best choice
Possibility 1 9 12 B 12 0
Possibility 2 12 10 A 12 2
Possibility 3 14 17 B 17 0
Possibility 4 11 10 A 11 1
Possibility 5 14 16 B 16 0
Average 12 13 13.6 0.6
Do we need more evidence?
£0
£5,000,000
£10,000,000
£15,000,000
£20,000,000
£25,000,000
£0 £10,000 £20,000 £30,000 £40,000 £50,000 £60,000
Cost-effectiveness threshold
Ma
xiu
m b
en
efit
of
evi
de
nce
.
Choose A Choose B
Cost of research
Cost of research
£0
£5,000,000
£10,000,000
£15,000,000
£20,000,000
£25,000,000
£30,000,000
£35,000,000
£0 £5,000 £10,000 £15,000 £20,000 £25,000 £30,000 £35,000 £40,000 £45,000 £50,000
Threshold for cost-effectiveness
Po
pu
latio
n E
VP
I
WT
Ritalin
Zanamivir
Riluzole
Orlistat
Do we need more evidence?
Decisions in a joined up world?
• Adopt technologies if we expect them to be cost effective based on existing evidence
• But only if we simultaneously address question: Is the evidence sufficient?
• Demand or commission further research to inform this choice in the future
A fragmented world
• Separation of adoption and research decisions– Adoption decisions without accountability for impact on
future research– Research decisions without accountability for relevance to
adoption decisions • Dangers
– Adoption decisions undermine evidence base for practice• Incentives and ethics
– Commissioned research does not inform decisions• Adoption becomes the only policy instrument
£0
£10
£20
£30
£40
£50
£60
£70
£80
£0 £5,000 £10,000 £15,000 £20,000 £25,000 £30,000 £35,000 £40,000 £45,000 £50,000
Cost-effectiveness threshold
Op
po
rtu
nity
loss
Account for the cost of uncertainty
What we loose if we accept technology
What we loose if wereject a technology
£0
£10
£20
£30
£40
£50
£60
£70
£80
£0 £5,000 £10,000 £15,000 £20,000 £25,000 £30,000 £35,000 £40,000 £45,000 £50,000
Cost-effectiveness threshold
Op
po
rtu
nity
loss
Clear signals and incentives
Provide more evidence!
£0
£10
£20
£30
£40
£50
£60
£70
£80
£0 £5,000 £10,000 £15,000 £20,000 £25,000 £30,000 £35,000 £40,000 £45,000 £50,000
Cost-effectiveness threshold
Op
po
rtu
nity
loss
Clear signals and incentives
Reduce price
Why say no (or only in research)?
• Clear signals – No because it is not a cost-effective use of resources– No because there is currently insufficient evidence to justify
NHS use– Spell out the key evidence needed (not the research)
• Clear incentives– If and when additional evidence is made available then
considered for early review– Incentives to sponsors (evidence and price)– Incentives for others stakeholders to lobby for publicly
funded research– Clear signals to research commissioners
Conclusions
• All decisions about new technologies involve uncertainty• Is uncertainty being used in decision making?• Need to address adoption decision and need for further
research simultaneously• But adoption decision may be only policy lever