Presentation is loading. Please wait.

Presentation is loading. Please wait.

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

Published byLeona Mavis Randall Modified over 8 years ago

Similar presentations

Presentation on theme: "Using a Discrete Choice Experiment to Value the EQ-5D-5L in Canada Nick Bansback Assistant Professor School of Population and Public Health, University."— Presentation transcript:

1 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

2 Conflict of interest Member of the EuroQol group No conflicts related to this presentation

3 National Health State Valuation Studies We 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

4 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)

5 How many people engage and understand the TTO? Engel L. et al. Exclusion Criteria in National Health State Valuation Studies: a Systematic Review

6 But did the rest really understand and engage? Values for health state 55555 NN Values for all health states

7 Impact of exclusions on representativeness In the wider literature, excluded persons tend to be older, less educated and sicker 1 Similar findings in our TTO study Impact of exclusions on values varies between studies 1 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

8 Discrete choice experiment with a duration attribute (DCEtto) Health State AHealth State B Some problems in walking about No problems in walking about No problems with self-careSome problems with self-care Some problems with performing my usual activities Moderate pain or discomfortNo pain or discomfort Not anxious or depressedExtremely anxious or depressed Live for 10 yearsLive for 7 years Choose A or B Health State AHealth State B Some problems in walking about No problems in walking about No problems with self-care Some problems with performing my usual activities No problems with performing my usual activities Moderate pain or discomfortNo pain or discomfort 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 TTODCEtto

9 Previous research in DCEtto Simpler (fewer drop-outs) Enables incorporation of all respondents, increasing power and representativeness Cognition 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.

10 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

11 Differences in distribution of values Values for health state 55555 NN Values for all health states

12 Differences in average values ←Better health states Worse health states→ Utility values

13 Impact of excluded respondents from TTO ←Better health states Worse health states→ Utility values

14 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

Download ppt "Using a Discrete Choice Experiment to Value the EQ-5D-5L in Canada Nick Bansback Assistant Professor School of Population and Public Health, University."

Similar presentations

Elicitation methods Health care demands exceed resource supply Therefore, rationing is inevitable Many ways by which we can ration health care One is economic.

Elicitation methods Health care demands exceed resource supply Therefore, rationing is inevitable Many ways by which we can ration health care One is economic.
DECISION TREES. Decision trees  One possible representation for hypotheses.

DECISION TREES. Decision trees  One possible representation for hypotheses.
Rural Economy Research Centre Modelling taste heterogeneity among walkers in Ireland Edel Doherty Rural Economy Research Centre (RERC) Teagasc Department.

Rural Economy Research Centre Modelling taste heterogeneity among walkers in Ireland Edel Doherty Rural Economy Research Centre (RERC) Teagasc Department.
Scaling Session Measurement implies “assigning numbers to objects or events…” Distinguish two levels: we can assign numbers to the response levels for.

Scaling Session Measurement implies “assigning numbers to objects or events…” Distinguish two levels: we can assign numbers to the response levels for.
DEVELOPMENT OF A PREFERENCE-BASED, CONDITION SPECIFIC PATIENT REPORTED OUTCOME MEASURE FOR USE WITH VENOUS ULCERATION Simon Palfreyman 1, John E Brazier.

DEVELOPMENT OF A PREFERENCE-BASED, CONDITION SPECIFIC PATIENT REPORTED OUTCOME MEASURE FOR USE WITH VENOUS ULCERATION Simon Palfreyman 1, John E Brazier.
Inductive reasoning and implicit memory: evidence from intact and impaired memory systems Authors: Luisa Girelli, Carlo Semenza and Margarete Delazer.

Inductive reasoning and implicit memory: evidence from intact and impaired memory systems Authors: Luisa Girelli, Carlo Semenza and Margarete Delazer.
Using a discrete choice experiment with duration to estimate values for health states on the QALY scale Nick Bansback Assistant Professor School of Population.

Using a discrete choice experiment with duration to estimate values for health states on the QALY scale Nick Bansback Assistant Professor School of Population.
1 Interactive Introduction cost effectiveness Jan J. v. Busschbach, Ph.D. Psychotherapeutic Centrum ‘De Viersprong’, Halsteren

1 Interactive Introduction cost effectiveness Jan J. v. Busschbach, Ph.D. Psychotherapeutic Centrum ‘De Viersprong’, Halsteren
Understanding the Research Process

Understanding the Research Process
Two ways to skin a cat: a comparison of two variants of standard gamble John Brazier and Paul Dolan Prepared for the CHEBS workshop on Elicitation, 9 October.

Two ways to skin a cat: a comparison of two variants of standard gamble John Brazier and Paul Dolan Prepared for the CHEBS workshop on Elicitation, 9 October.
Valuing the SF-6D: a nonparametric approach using individual level preference data Part 1): The SF-6D and its valuation Samer A Kharroubi, Tony O’Hagan,

Valuing the SF-6D: a nonparametric approach using individual level preference data Part 1): The SF-6D and its valuation Samer A Kharroubi, Tony O’Hagan,
Modelling Cardinal Utilities from Ordinal Utility data: An exploratory analysis Peter Gilks, Chris McCabe, John Brazier, Aki Tsuchiya, Josh Solomon.

Modelling Cardinal Utilities from Ordinal Utility data: An exploratory analysis Peter Gilks, Chris McCabe, John Brazier, Aki Tsuchiya, Josh Solomon.
Using ranking and DCE data to value health states on the QALY scale using conventional and Bayesian methods Theresa Cain.

Using ranking and DCE data to value health states on the QALY scale using conventional and Bayesian methods Theresa Cain.
Utilising rank and DCE data to value health status on the ‘QALY’ scale using conventional and Bayesian methods John Brazier and Theresa Cain with Aki Tsuchiya.

Utilising rank and DCE data to value health status on the ‘QALY’ scale using conventional and Bayesian methods John Brazier and Theresa Cain with Aki Tsuchiya.
25 Sept 07 FF8 - Discrete Choice Data Introduction Tony O’Hagan.

25 Sept 07 FF8 - Discrete Choice Data Introduction Tony O’Hagan.
Measuring and valuing health outcome Montarat Thavorncharoensap, Ph.D. 1: Faculty of Pharmacy, Mahidol University 2. HITAP, Thailand.

Measuring and valuing health outcome Montarat Thavorncharoensap, Ph.D. 1: Faculty of Pharmacy, Mahidol University 2. HITAP, Thailand.
1 EQ-5D, HUI and SF-36 Of the shelf instruments…..

1 EQ-5D, HUI and SF-36 Of the shelf instruments…..
Overview of the EQ-5D Purpose and origins of the descriptive system.

Overview of the EQ-5D Purpose and origins of the descriptive system.
1 The valuation of disease-specific questionnaires for QALY analysis  To rescue data in absence of an utility measure  Growth hormone deficiency in adults.

1 The valuation of disease-specific questionnaires for QALY analysis  To rescue data in absence of an utility measure  Growth hormone deficiency in adults.
Professor Daniel Khan OBE Chief Executive OCN London.

Professor Daniel Khan OBE Chief Executive OCN London.

Similar presentations

Ads by Google