Valuing SF-6D Health States Using a Discrete Choice Experiment
Background. SF-6D utility weights are conventionally produced using a standard gamble (SG). SG-derived weights consistently demonstrate a floor effect not observed with other elicitation techniques. Recent advances in discrete choice methods have allowed estimation of utility weights. The objective...
| Main Authors: | , , , , , , , |
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| Format: | Journal Article |
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Sage Publications, Inc.
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/14940 |
| _version_ | 1848748757464645632 |
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| author | Norman, Richard Viney, R. Brazier, J. Burgess, L. Cronin, P. King, M. Ratcliffe, J. Street, D. |
| author_facet | Norman, Richard Viney, R. Brazier, J. Burgess, L. Cronin, P. King, M. Ratcliffe, J. Street, D. |
| author_sort | Norman, Richard |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Background. SF-6D utility weights are conventionally produced using a standard gamble (SG). SG-derived weights consistently demonstrate a floor effect not observed with other elicitation techniques. Recent advances in discrete choice methods have allowed estimation of utility weights. The objective was to produce Australian utility weights for the SF-6D and to explore the application of discrete choiceexperiment (DCE) methods in this context. We hypothesized that weights derived using this method would reflect the largely monotonic construction of the SF-6D.Methods. We designed an online DCE and administered it to an Australia-representative online panel (n = 1017). A range of specifications investigating nonlinear preferences with respect to additional life expectancy were estimated using a random-effects probit model. The preferred model was then used to estimate a preference index such that full health and death were valued at 1 and 0, respectively, to provide an algorithm for Australian cost-utility analyses.Results. Physical functioning, pain, mental health, and vitality were the largest drivers of utility weights. Combining levels to remove illogical orderings did not lead to a poorer model fit. Relative to international SG-derived weights, the range of utility weights was larger with 5% of health states valued below zero. Conclusions. DCEs can be used to investigate preferences for health profiles and to estimate utility weights for multi-attribute utility instruments. Australian cost-utility analyses can now use domestic SF-6D weights. The comparability of DCE results to those using other elicitation methods for estimating utility weights for quality-adjusted life-year calculations should be further investigated. |
| first_indexed | 2025-11-14T07:10:07Z |
| format | Journal Article |
| id | curtin-20.500.11937-14940 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:10:07Z |
| publishDate | 2014 |
| publisher | Sage Publications, Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-149402017-09-13T15:01:40Z Valuing SF-6D Health States Using a Discrete Choice Experiment Norman, Richard Viney, R. Brazier, J. Burgess, L. Cronin, P. King, M. Ratcliffe, J. Street, D. cost-utility analysis economic evaluation SF-6D discrete choice experiment Australia quality of life valuation Background. SF-6D utility weights are conventionally produced using a standard gamble (SG). SG-derived weights consistently demonstrate a floor effect not observed with other elicitation techniques. Recent advances in discrete choice methods have allowed estimation of utility weights. The objective was to produce Australian utility weights for the SF-6D and to explore the application of discrete choiceexperiment (DCE) methods in this context. We hypothesized that weights derived using this method would reflect the largely monotonic construction of the SF-6D.Methods. We designed an online DCE and administered it to an Australia-representative online panel (n = 1017). A range of specifications investigating nonlinear preferences with respect to additional life expectancy were estimated using a random-effects probit model. The preferred model was then used to estimate a preference index such that full health and death were valued at 1 and 0, respectively, to provide an algorithm for Australian cost-utility analyses.Results. Physical functioning, pain, mental health, and vitality were the largest drivers of utility weights. Combining levels to remove illogical orderings did not lead to a poorer model fit. Relative to international SG-derived weights, the range of utility weights was larger with 5% of health states valued below zero. Conclusions. DCEs can be used to investigate preferences for health profiles and to estimate utility weights for multi-attribute utility instruments. Australian cost-utility analyses can now use domestic SF-6D weights. The comparability of DCE results to those using other elicitation methods for estimating utility weights for quality-adjusted life-year calculations should be further investigated. 2014 Journal Article http://hdl.handle.net/20.500.11937/14940 10.1177/0272989X13503499 Sage Publications, Inc. restricted |
| spellingShingle | cost-utility analysis economic evaluation SF-6D discrete choice experiment Australia quality of life valuation Norman, Richard Viney, R. Brazier, J. Burgess, L. Cronin, P. King, M. Ratcliffe, J. Street, D. Valuing SF-6D Health States Using a Discrete Choice Experiment |
| title | Valuing SF-6D Health States Using a Discrete Choice Experiment |
| title_full | Valuing SF-6D Health States Using a Discrete Choice Experiment |
| title_fullStr | Valuing SF-6D Health States Using a Discrete Choice Experiment |
| title_full_unstemmed | Valuing SF-6D Health States Using a Discrete Choice Experiment |
| title_short | Valuing SF-6D Health States Using a Discrete Choice Experiment |
| title_sort | valuing sf-6d health states using a discrete choice experiment |
| topic | cost-utility analysis economic evaluation SF-6D discrete choice experiment Australia quality of life valuation |
| url | http://hdl.handle.net/20.500.11937/14940 |