preference measurement in cea: are we capturing values or creating them?
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Preference measurement in CEA: Are we capturing values or creating them?. Peter A. Ubel, M.D. Program for Improving Health Care Decisions Ann Arbor VAMC University of Michigan Health System. A Policy Dilemma. Imagine Medicaid program is choosing a colon cancer screening test Test #1 - PowerPoint PPT PresentationTRANSCRIPT
Preference measurement in CEA: Preference measurement in CEA: Are we capturing values or Are we capturing values or
creating them?creating them?
Peter A. Ubel, M.D. Peter A. Ubel, M.D.
Program for Improving Health Care Decisions Program for Improving Health Care Decisions
Ann Arbor VAMC Ann Arbor VAMC
University of Michigan Health System University of Michigan Health System
A Policy DilemmaA Policy Dilemma Imagine Medicaid program is Imagine Medicaid program is
choosing a colon cancer screening choosing a colon cancer screening testtest
Test #1Test #1 Inexpensive - can offer to everyoneInexpensive - can offer to everyone Less effective - saves 1,000 livesLess effective - saves 1,000 lives
Test #2Test #2 More expensive - can offer to 1/2 of More expensive - can offer to 1/2 of
the peoplethe people More effective – saves 1,100 livesMore effective – saves 1,100 lives
Which test would you choose?Which test would you choose?
If choosing according to CEAIf choosing according to CEA
You would choose Test #2You would choose Test #2– The one that saves 1,100 livesThe one that saves 1,100 lives
CEA helps identify health care CEA helps identify health care interventionsinterventions– That maximizeThat maximize– The average health of a populationThe average health of a population
What do people actually choose?What do people actually choose? Test #1 (saving 1,000 lives) chosen byTest #1 (saving 1,000 lives) chosen by
55% of general public55% of general public 55% of medical ethicists55% of medical ethicists 45% of CEA experts45% of CEA experts
In This TalkIn This Talk
Present evidence demonstrating that CEA Present evidence demonstrating that CEA does not capture people’s allocation does not capture people’s allocation preferencespreferences
Show that people’s allocation preferencesShow that people’s allocation preferences– While at odds with CEAWhile at odds with CEA– Are often at odds with themselvesAre often at odds with themselves
» Internally inconsistentInternally inconsistent» Susceptible to irrelevant informationSusceptible to irrelevant information» Occasionally downright confusedOccasionally downright confused
Another Another DilemmaDilemma
A transplant allocation choiceA transplant allocation choice Imagine there is a blood test that predicts the outcome of Imagine there is a blood test that predicts the outcome of
liver transplantliver transplant 200 patients200 patients
Divided into two groups based on prognosisDivided into two groups based on prognosis Only 100 organs availableOnly 100 organs available
Subjects received one of five allocation choicesSubjects received one of five allocation choices 80% vs. 70%80% vs. 70% 80% vs. 50%80% vs. 50% 80% vs. 20%80% vs. 20% 40% vs. 25%40% vs. 25% 40% vs. 10%40% vs. 10%
Allocation decisionsAllocation decisions
% organs to better
prognostic group 80/70 80/50 80/20 40/25 40/10 Total
<50
50
51-75
76-99
100
Allocation decisionsAllocation decisions
% organs to better
prognostic group 80/70 80/50 80/20 40/25 40/10 Total
<50 3 0 0 9 3 3
50 53 33 26 40 14 33
51-75 22 27 21 14 29 22
76-99 9 6 29 11 37 19
100 13 33 24 26 17 22
Allocation decisionsAllocation decisions
% organs to better
prognostic group 80/70 80/50 80/20 40/25 40/10 Total
<50 3 0 0 9 3 3
50 53 33 26 40 14 33
51-75 22 27 21 14 29 22
76-99 9 6 29 11 37 19
100 13 33 24 26 17 22 100 13 33 24 26 17 22
Allocation decisionsAllocation decisions
% organs to better
prognostic group 80/70 80/50 80/20 40/25 40/10 Total
<50 3 0 0 9 3 3
50 53 33 26 40 14 33
51-75 22 27 21 14 29 22
76-99 9 6 29 11 37 19
100 13 33 24 26 17 22
50 53 33 26 40 14 33
What do these two studies prove?What do these two studies prove? Colon cancer studyColon cancer study
– That the public values That the public values equityequity in allocating in allocating resourcesresources
– Disagree with CEA’s emphasis on Disagree with CEA’s emphasis on efficiencyefficiency Transplant studyTransplant study
– Preference for equity over efficiency is not Preference for equity over efficiency is not absoluteabsolute
» ““Consensus view” strikes a balanceConsensus view” strikes a balance– People’s preferences seem really damn People’s preferences seem really damn
reasonablereasonable» When more to gain from efficiency, more preference for itWhen more to gain from efficiency, more preference for it
What values should What values should guide allocation guide allocation
decisions?decisions?
1. Priority for treating severely 1. Priority for treating severely ill patientsill patients
Imagine an illness A that causes severe Imagine an illness A that causes severe health problemshealth problems treatment will help patients a littletreatment will help patients a little
Imagine illness B that causes moderate Imagine illness B that causes moderate problemsproblems treatment will help patients considerablytreatment will help patients considerably
The cost of treatment is the same in The cost of treatment is the same in both casesboth cases
What do you believe?What do you believe?
Most funding should be allocated to illness A, Most funding should be allocated to illness A, involving severe health problems that improve involving severe health problems that improve a littlea little
Most funding should be allocated to illness B, Most funding should be allocated to illness B, involving moderate health problems that involving moderate health problems that improve considerablyimprove considerably
Severity Study - Treatment Severity Study - Treatment ChoicesChoices
Most funding should be allocated to Most funding should be allocated to illness A, involving severe health illness A, involving severe health problems that improve a littleproblems that improve a little 4040
Most funding should be allocated to illness B, Most funding should be allocated to illness B, involving moderate health problems that involving moderate health problems that improve considerably improve considerably 6060
2. Avoiding Discrimination 2. Avoiding Discrimination Against People With DisabilitiesAgainst People With Disabilities
1
2
3
4
5
6
7Death
Disability levelFull health
Death
Paraplegia
How Valuable is Life with Paraplegia?How Valuable is Life with Paraplegia?
Asked PeopleAsked PeopleHow many lives of people with paraplegia How many lives of people with paraplegia
would need to be savedwould need to be savedTo be equally beneficial as saving 100 To be equally beneficial as saving 100
lives of people who could be returned to lives of people who could be returned to perfect health perfect health
65% of people said the number should be 65% of people said the number should be 100100
3. Age discrimination is OK3. Age discrimination is OK
Allocating 100 transplantable livers Allocating 100 transplantable livers amongamong– 100 35 year olds100 35 year olds– 100 65 year olds100 65 year olds
Even distributionEven distribution– Favored by 40% of peopleFavored by 40% of people
Priority to younger patientsPriority to younger patients– Favored by 57%Favored by 57%
Fine-tuning CEAFine-tuning CEA
Tweaking the numbersTweaking the numbers Proposals to adjust numerical weights in Proposals to adjust numerical weights in
CEA to account for people’s valuesCEA to account for people’s values– Nord: severity weightsNord: severity weights– Williams: age-adjustment of QALYsWilliams: age-adjustment of QALYs
Basic ideaBasic idea– Current measure:Current measure: QALY = PQALY = P11 U U11 + P + P2 2 UU22 +… +…
Revised measure: QALY = PRevised measure: QALY = P11 U U11 X X11 + P + P22 UU22 X X22 +… +…
Assumptions underlying the fine-Assumptions underlying the fine-tuning proposalstuning proposals
Public has stable allocation preferencesPublic has stable allocation preferences These preferences are quantifiableThese preferences are quantifiable CEA is amenable, methodologically, to CEA is amenable, methodologically, to
incorporating these preferencesincorporating these preferences
It’s time to shatter It’s time to shatter some assumptionssome assumptions
1. People Get Confused1. People Get Confused
Reminder of Transplant Reminder of Transplant Allocation decisionsAllocation decisions
% organs to better
prognostic group 80/70 80/50 80/20 40/25 40/10 Total
<50 3 0 0 9 3 3
50 53 33 26 40 14 33
51-75 22 27 21 14 29 22
76-99 9 6 29 11 37 19
100 13 33 24 26 17 22
Do people understand their Do people understand their allocation choices?allocation choices?
After people made their allocation choices, After people made their allocation choices, we asked them we asked them – What distribution of organs would maximize What distribution of organs would maximize
survivalsurvival
In all cases, correct answer = all 100 organs In all cases, correct answer = all 100 organs to group with better prognosisto group with better prognosis
Majority of people did not give correct answerMajority of people did not give correct answer– E.g. 80/20 group E.g. 80/20 group → 80/20 distribution→ 80/20 distribution
Do confused people make different Do confused people make different allocation choices?allocation choices?
Percent of subjects making choicePercent of subjects making choice
Allocation choice
Those who understood
(n=71)
Those who did not understand
(n=96)
<50 0
50 14
51-75 18
76-99 18
100 49
3
48
26
20
3
Even when people aren’t confused . . .Even when people aren’t confused . . .
Suppose 200 transplant candidates can Suppose 200 transplant candidates can be ranked from 1 – 200be ranked from 1 – 200– By prognosisBy prognosis– Based on a blood testBased on a blood test
Would you give organs to top 100 Would you give organs to top 100 patients?patients?– Majority say yes!Majority say yes!
2. People hate saying no to a whole 2. People hate saying no to a whole group of patientsgroup of patients
Blood test ranks people 1 – 200Blood test ranks people 1 – 200– Okey DokeyOkey Dokey
Blood test divides patients into two Blood test divides patients into two groupsgroups– No one wants to abandon second groupNo one wants to abandon second group
What if you could ignore blood test?What if you could ignore blood test? 41% would choose to do so!41% would choose to do so!
3. People like “easy outs”3. People like “easy outs” Reminder of “severity study”Reminder of “severity study”
Most funding should be allocated to illness A, Most funding should be allocated to illness A, involving severe health problems that improve involving severe health problems that improve a littlea little 4040
Most funding should be allocated to illness B, Most funding should be allocated to illness B, involving moderate health problems that involving moderate health problems that improve considerably improve considerably 6060
People like “easy outs”People like “easy outs” Reminder of “severity study”Reminder of “severity study”
Most funding should be allocated to illness A, Most funding should be allocated to illness A, involving severe health problems that improve a involving severe health problems that improve a littlelittle
Most funding should be allocated to illness B, Most funding should be allocated to illness B, involving moderate health problems that improve involving moderate health problems that improve considerably considerably
Equal $ to A and BEqual $ to A and B
10
15
75
4. People often refuse to make tradeoffs4. People often refuse to make tradeoffs
The Person Tradeoff (PTO) preference The Person Tradeoff (PTO) preference measuremeasure
to be equallygood as
Curing 100 people with severe shortness of breath?
<How many> people with mild shortness of breath would need to be
cured
Types of PTO RefusalsTypes of PTO Refusals Two types of refusals:Two types of refusals:
– Equality RefusalsEquality Refusals» The choices are equally goodThe choices are equally good» Curing Curing 100100 people of quadriplegia = curing people of quadriplegia = curing 100100
people of foot numbnesspeople of foot numbness
– High RefusalsHigh Refusals» Extremely high indifference pointsExtremely high indifference points
Curing Curing 100100 people of quadriplegia = curing people of quadriplegia = curing 300,000,000300,000,000 people of foot numbness people of foot numbness
Frequency of PTO RefusalsFrequency of PTO Refusals
27%
17%
0%
10%
20%
30%
40%
50%
Equality Refusals High Refusals
Most prevalent
Is the problem the Decision-maker Is the problem the Decision-maker Perspective?Perspective?
Imagine that YOU ARE THE EXECUTIVE Imagine that YOU ARE THE EXECUTIVE DIRECTOR of a regional health system …you DIRECTOR of a regional health system …you have only enough money to fund one have only enough money to fund one treatment program….THE FINAL DECISION treatment program….THE FINAL DECISION IS UP TO YOU.IS UP TO YOU.
– … … you must choose between two treatment you must choose between two treatment programs… programs… who would you curewho would you cure??
Study QuestionStudy Question
Does perspective matter?Does perspective matter?– Will a non-decision-making perspective Will a non-decision-making perspective
encourage more people to make tradeoffs?encourage more people to make tradeoffs?» Less negative emotionLess negative emotion» Less pressureLess pressure» EasierEasier
Evaluator PerspectiveEvaluator Perspective Imagine two regional health systems…the Imagine two regional health systems…the
Executive Director of each system had only Executive Director of each system had only enough money to fund one treatment program…enough money to fund one treatment program…The health systems …were the same in every The health systems …were the same in every way except for the treatment program each way except for the treatment program each Executive Director decided to fund.Executive Director decided to fund.
– The Directors made the following decisions… The Directors made the following decisions… who made a better decisionwho made a better decision??
Results Results
Perspective:Perspective:
Decision-makerDecision-maker
EqualityEquality
RefusalsRefusals 21%21%
HighHigh
RefusalsRefusals 19%19%
Results Results
Perspective:Perspective:
Decision-makerDecision-maker EvaluatorEvaluator
EqualityEquality
RefusalsRefusals 21%21% 32%32%
HighHigh
RefusalsRefusals 19%19% 15%15%
6. What do people mean 6. What do people mean by “equity”?by “equity”?
Reminder of Colon Cancer Reminder of Colon Cancer Study DesignStudy Design
Imagine Medicaid program is choosing Imagine Medicaid program is choosing a colon cancer screening testa colon cancer screening test
Test #1Test #1 Inexpensive - can offer to everyoneInexpensive - can offer to everyone Less effective - save 1,000 livesLess effective - save 1,000 lives
Test #2Test #2 More expensive - can offer to 1/2 of the More expensive - can offer to 1/2 of the
peoplepeople More effective - save 1,100 livesMore effective - save 1,100 lives
Why Do People Value Equity?Why Do People Value Equity?
Test 1 can be offered toTest 1 can be offered to moremore people people than Test 2than Test 2
Test 1 can be offered to Test 1 can be offered to everyoneeveryone and and Test 2 cannotTest 2 cannot
Do people’s preferences for equity over efficiency persist when neither test can
be offered to the entire population?
Is Equity All or Nothing?Is Equity All or Nothing?
A B %1,000 lives 1,100 lives choosing A
1. 100% 50%2. 90% 40%3. 50% 25%
Is Equity All or Nothing?Is Equity All or Nothing?
A B %1,000 lives 1,100 lives choosing A
1. 100% 50% 56
2. 90% 40% 27
3. 50% 25% 28
Isn’t 100% Arbitrary?Isn’t 100% Arbitrary?
Now imagine that the situation has changed Now imagine that the situation has changed in the following way:in the following way:Because of an unusually weak economy, the Because of an unusually weak economy, the number of people poor enough to qualify for number of people poor enough to qualify for Medicaid is doubled. That means twice as many Medicaid is doubled. That means twice as many people will be enrolled in Medicaid as had been people will be enrolled in Medicaid as had been predicted. However, there’s no change in the predicted. However, there’s no change in the budget for colon cancer screening. . .budget for colon cancer screening. . .
Vice versaVice versa
Arbitrary DesignArbitrary Design
A B %1,000 lives 1,100 lives choosing A
4. 100% 50%50% 25%
5. 50% 25%100% 50%
Arbitrary ResultsArbitrary Results
A B %1,000 lives 1,100 lives choosing A
4. 100% 50% 6250% 25% 64
5. 50% 25% 24100% 50% 40
Colon Cancer ThoughtsColon Cancer Thoughts
Preferences for equity vs. efficiency are Preferences for equity vs. efficiency are fragilefragile
Preferences depend on whether more Preferences depend on whether more effective tests can be offered to 100% of effective tests can be offered to 100% of a populationa population
People are only moderately sensitive to People are only moderately sensitive to the “arbitrariness” with which the “arbitrariness” with which populations are definedpopulations are defined
7. Revisiting attitudes toward 7. Revisiting attitudes toward paraplegiaparaplegia
Prior resultPrior result– Saving 100 people with paraplegiaSaving 100 people with paraplegia– Equally good as saving 100 non-disabled Equally good as saving 100 non-disabled
peoplepeople Could conclude thatCould conclude that
– When saving lives, disabilities like When saving lives, disabilities like paraplegia don’t matterparaplegia don’t matter
– Or Or pre-existingpre-existing disabilities don’t matter disabilities don’t matter
Pre-existing versus new paraplegiaPre-existing versus new paraplegia
Asked about pre-existing paraplegiaAsked about pre-existing paraplegia– 100 non-disabled = 100 paraplegia100 non-disabled = 100 paraplegia
Then asked about onset of paraplegiaThen asked about onset of paraplegia– 100 non-disabled = 126 paraplegia100 non-disabled = 126 paraplegia
Conclusion?Conclusion?– Care more about saving lives of people Care more about saving lives of people
with pre-existing paraplegia?with pre-existing paraplegia?– But still don’t think paraplegia is too bad?But still don’t think paraplegia is too bad?
New versus pre-existing paraplegiaNew versus pre-existing paraplegia
Asked about onset of paraplegiaAsked about onset of paraplegia– Instead of saying 100 non-disabled = 126 Instead of saying 100 non-disabled = 126
paraplegiaparaplegia– Said it = 1000Said it = 1000
Then asked about pre-existing paraplegiaThen asked about pre-existing paraplegia– Instead of saying 100 non-disabled = 100 Instead of saying 100 non-disabled = 100
paraplegiaparaplegia– Said it = 200Said it = 200
People’s preferences/values seem . . .People’s preferences/values seem . . . Flippy FloppyFlippy Floppy
8. Revisiting age-based rationing8. Revisiting age-based rationing
Remember: people favor distributing life Remember: people favor distributing life saving resources tosaving resources to– 35 year olds over 65 year olds35 year olds over 65 year olds
And some CEA experts say this should And some CEA experts say this should lead to age-weighted QALYslead to age-weighted QALYs
But what happens when we explore But what happens when we explore these values more thoroughly?these values more thoroughly?
Preference for young versus oldPreference for young versus old
Lifesaving Treatment Preference
5,004,003,002,001,00
Pe
rce
nt
50
40
30
20
10
0
Lifesaving Treatment
Preference for young versus oldPreference for young versus old
Lifesaving Treatment Preference
5,004,003,002,001,00
Pe
rce
nt
50
40
30
20
10
0
Palliative Care Treatment Preference
5,004,003,002,001,00
Pe
rce
nt
60
50
40
30
20
10
0
Lifesaving Treatment Palliative Care
Direct Assessments of Age ImportanceDirect Assessments of Age Importance
Intervention Intervention Type Type
MeanMean
InfertilityInfertility 6.46.4Lifesaving Lifesaving 4.34.3PalliativePalliative 3.83.8Reconstr. SurgReconstr. Surg 3.33.3Pain ReliefPain Relief 3.13.1DepressionDepression 2.62.6
(1-10)
Direct Assessments of Age Direct Assessments of Age ImportanceImportance
Intervention Intervention TypeType
MeanMean %“Not at all %“Not at all Important”Important”
%“Very %“Very Important”Important”
InfertilityInfertility 6.46.4 1313 4040
Lifesaving Lifesaving 4.34.3 3434 2121
PalliativePalliative 3.83.8 4040 2121
Reconstr. SurgReconstr. Surg 3.33.3 3939 99
Pain ReliefPain Relief 3.13.1 5252 1818
DepressionDepression 2.62.6 5656 1212
(1-10)
Is there any value in Is there any value in measuring public measuring public
values?values?
Consider the alternativeConsider the alternative
Before QALYsBefore QALYs– We had $ / life yearWe had $ / life year
That meant we had no abilityThat meant we had no ability– To capture the value of interventions that To capture the value of interventions that
improve QOLimprove QOL– To compare life-saving treatments to life To compare life-saving treatments to life
improving onesimproving ones
CEA is not perfectCEA is not perfect
There is no single $ / QALY figure for There is no single $ / QALY figure for any interventionany intervention
There is no exact $ / QALY threshold for There is no exact $ / QALY threshold for societysociety– Not $50KNot $50K– Not $100KNot $100K
CEA is a tool to guide decisionsCEA is a tool to guide decisions
A glimmer of hope for finding A glimmer of hope for finding stable valuesstable values
People place a different value on saving People place a different value on saving the lives ofthe lives of– Non-disabled peopleNon-disabled people– People with pre-existing paraplegiaPeople with pre-existing paraplegia– People with onset of paraplegiaPeople with onset of paraplegia
And those various values are messyAnd those various values are messy But why do they think paraplegia is so But why do they think paraplegia is so
bad?bad?
Failure to consider Failure to consider emotional adaptationemotional adaptation
People consistently misestimate the People consistently misestimate the QOL of chronic illness/disabilityQOL of chronic illness/disability– Patients report high levels of well-beingPatients report high levels of well-being– Public imagines miseryPublic imagines misery
But public can be prodded to think But public can be prodded to think about adaptationabout adaptation– Think back to bad event > 6 months ago. . .Think back to bad event > 6 months ago. . .
How thinking about adaptation How thinking about adaptation stabilized valuesstabilized values
1. Pre-existing1. Pre-existing
2. Onset2. Onset
No AdaptationNo Adaptation
100100
126126
1. Onset1. Onset
2. Pre-existing2. Pre-existing
10001000
200200
AdaptationAdaptation
100100
102102
102102
100100
Revisiting the Decision-maker II Revisiting the Decision-maker II Perspective: A follow up studyPerspective: A follow up study
Made the hot-seat even hotter:Made the hot-seat even hotter:– ““The money cannot be split between the two The money cannot be split between the two
programs”programs”– ““You will only be able to fund one of them “You will only be able to fund one of them “– ““The other program will not be funded “The other program will not be funded “
» ““People who have the condition covered by that People who have the condition covered by that program will go untreated.”program will go untreated.”
– ““Who would you cure,Who would you cure, thereby leaving the thereby leaving the other group without treatment?” other group without treatment?”
Method: Benefits PerspectiveMethod: Benefits Perspective
Focus on benefits:Focus on benefits:– ““Imagine that two groups of patients Imagine that two groups of patients
received medical treatment for a condition received medical treatment for a condition from which they were suffering…”from which they were suffering…”
– ““Which group received the greatest overall Which group received the greatest overall benefitbenefit? “? “
ResultsResults
PerspectivePerspective::Decision-maker IDecision-maker I
EqualityEquality
RefusalsRefusals 21%21%
HighHigh
RefusalsRefusals 19%19%
ResultsResults
PerspectivePerspective::Decision-maker IDecision-maker I Decision-maker IIDecision-maker II
EqualityEquality
RefusalsRefusals 21%21% 12%12%
HighHigh
RefusalsRefusals 19%19% 10%10%
ResultsResults
PerspectivePerspective::Decision-maker IDecision-maker I Decision-maker IIDecision-maker II BenefitsBenefits
EqualityEquality
RefusalsRefusals 21%21% 12%12% 43%43%
HighHigh
RefusalsRefusals 19%19% 10%10% 4%4%
Why do the non-decision-maker Why do the non-decision-maker perspectives INCREASE equality refusals?perspectives INCREASE equality refusals?
A prioriA priori, we thought, we thought– People would find the decision-maker People would find the decision-maker
perspective perspective more difficultmore difficult
Yes, they did…Yes, they did…
……but, people who thought the survey was but, people who thought the survey was hard were LESS likely to refuse to tradehard were LESS likely to refuse to trade
Perspective:Perspective:
Decision-maker IIDecision-maker II BenefitsBenefits
Survey Survey was hardwas hard 46%46% 37%37%
11%20%
10%
34%
50%47%
0%
20%
40%
60%
80%
100%
1-Disagree 4-Neutral 7-Agree
Decision-maker II
Benefits
Equality Refusals & Perceived Equality Refusals & Perceived DifficultyDifficulty
Why do the non-decision-maker Why do the non-decision-maker perspectives INCREASE equality refusals?perspectives INCREASE equality refusals?
A prioriA priori, we thought, we thought– People would find the decision-maker People would find the decision-maker
perspective perspective more difficultmore difficult
– Higher negative emotion Higher negative emotion Less likely to Less likely to tradeofftradeoff
Emotion: Follow-up StudyEmotion: Follow-up StudyPerspective:Perspective:
Decision-Decision-maker IImaker II
BenefitsBenefits
Outraged Outraged about about
rationingrationing50%50% 57%57%
Emotion: Follow-up StudyEmotion: Follow-up StudyPerspective:Perspective:
Decision-Decision-maker IImaker II
BenefitsBenefits
Outraged Outraged about about
rationingrationing50%50% 57%57%
Outraged Outraged about about
questionsquestions12%12% 8%8%
9%
20%12%
35%
50%44%
0%
20%
40%
60%
80%
100%
1-Disagree 4-Neutral 7-Agree
Decision-maker II
Benefits
Equality Refusals & EmotionEquality Refusals & Emotion
Perspective mattersPerspective matters
Do not worry about making people sweatDo not worry about making people sweat It is not a matter of making elicitations It is not a matter of making elicitations
easy – but, why the question is easy – but, why the question is importantimportant– More engagedMore engaged
Final, inconclusive thoughtsFinal, inconclusive thoughts Future AgendaFuture Agenda
– Develop methods for measuring public values that Develop methods for measuring public values that areare
» More stableMore stable» More consistentMore consistent
– Recognize that those valuesRecognize that those values» Are not fully formed before measurementAre not fully formed before measurement
– Remember thatRemember that» Even though value measurement flawedEven though value measurement flawed» Measuring cost-effectiveness without QALYs is Measuring cost-effectiveness without QALYs is not an not an
option!option!
www.med.umich.edu/pihcd