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Using a Discrete Choice Experiment to Value the EQ-5D-5L in Canada Nick Bansback Assistant Professor School of Population and Public Health, University of British Columbia CIHR New Investigator

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Using a Discrete Choice Experiment to Value the

EQ-5D-5L in Canada Nick Bansback

Assistant ProfessorSchool of Population and Public Health, University of British

ColumbiaCIHR New Investigator

Conflict of interest

• Member of the EuroQol group

• No conflicts related to this presentation

National Health State Valuation StudiesWe want:

An algorithm for a descriptive health classification system

That reflect values from individuals that engage and

understand the task

From a representative sample of general

population

How many people engage and understand the TTO?

• We excluded 136 (11%) from the TTO analysis:• Illogical responses (e.g. value some pain better than no

pain)• Implausible responses (e.g. value mild health states as

worse than dead)• Untrustworthy responses (e.g. value a variety of health

states the same)

How many people engage and understand the TTO?

Engel L. et al. Exclusion Criteria in National Health State Valuation Studies: a Systematic Review

But did the rest really understand and engage?

0

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1.0

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0.0

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-2.1

-2.2

-2.3

-2.4

-2.5

-2.6

-2.7

-2.8

-2.9

-3.0

N

TTO

Values for health state 55555

N

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NN

Values for all health states0

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1401.

00.

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.0-2

.1-2

.2-2

.3-2

.4-2

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.9-3

.0

N

TTO

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-3.0

N

TTO

Impact of exclusions on representativeness• In the wider literature, excluded persons

tend to be older, less educated and sicker1

• Similar findings in our TTO study

• Impact of exclusions on values varies between studies1

• Small differences (larger at more severe health states) found in our TTO study

→ the TTO task seems to lead to exclusions that might influence the representativeness and numbers in National Health State Valuation Studies

1. Engel L. et al. Exclusion Criteria in National Health State Valuation Studies: a Systematic Review

Discrete choice experiment with a duration attribute (DCEtto)

Health State A Health State B

Some problems in walking about

No problems in walking about

No problems with self-care Some problems with self-care

Some problems with performing my usual activities

Some problems with performing my usual activities

Moderate pain or discomfort No pain or discomfort

Not anxious or depressed Extremely anxious or depressed

Live for 10 years Live for 7 years

Choose A or B

Health State A Health State B

Some problems in walking about

No problems in walking about

No problems with self-care No problems with self-care

Some problems with performing my usual activities

No problems with performing my usual activities

Moderate pain or discomfort No pain or discomfort

Not anxious or depressed Not anxious or depressed

Live for 10 years Live for t years

Vary t until indifferent between A and B

DCEtto Requires if health state A is preferred to B and not the degree by which A is preferred to B

TTO DCEtto

Previous research in DCEtto

• Simpler (fewer drop-outs)• Enables incorporation of all respondents,

increasing power and representativenessCognition•Included with no change in task or arbitrary transformation

States worse than dead

•DCEs rooted in economic theory (RUT)Theory

•Quick to complete•Can be implemented on the web (cheaper)Practical

Bansback, et al. "Using a discrete choice experiment to estimate health state utility values." Journal of health economics 31.1 (2012): 306-318.Bansback, et al. "Testing a discrete choice experiment including duration to value health states for large descriptive systems: Addressing design and sampling issues." Social Science & Medicine 114 (2014): 38-48.

Canadian EQ-5D 5L study

• Alongside the TTO, participants also completed between 7 and 9 DCEtto tasks (in 7 tasks duration was equal between options)• A total of 252 DCE unique pairs were

valued – created using D-efficient designs• 1107 respondents – 19926 observations• Modelled using conditional logit model,

interacting duration with each level of each EQ-5D dimension

Differences in distribution of values

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-2.1

-2.2

-2.3

-2.4

-2.5

-2.6

-2.7

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-2.9

-3.0

N

TTO

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-2.3

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N

TTO

Values for health state 55555

N

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NN

Values for all health states

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N

DCEtto TTO

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N

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N

DCEtto TTO

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N

DCEtto TTO

Differences in average values

-0.8

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1121

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5322

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453

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3151

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3152

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2134

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2144

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5324

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5245

5

TTO DCEtto

←Better health states Worse health states→

Util

ity v

alue

s

Impact of excluded respondents from TTO

←Better health states Worse health states→

Util

ity v

alue

s

-1

-0.8

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1121

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3231

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3151

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1515

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253

4523

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3152

545

413

2134

552

335

2144

454

342

5324

435

245

5542

444

345

5245

5

DCEtto exclusions DCEtto all

Limitations

• Unclear whether the DCEtto really is simpler• Harder to test whether respondents have

engaged and understood the task• Gives lower values than TTO – but these

are not directly valued - difficult to know if they are real• …All questions currently being

investigated in studies by our team and others