Valuing SF-6D Health States Using a Discrete Choice Experiment

Norman, Richard; Viney, Rosalie; Brazier, John; Burgess, Leonie; Cronin, Paula; King, Madeleine; Ratcliffe, Julie; Street, Deborah J.

doi:10.1177/0272989x13503499

Cited by 106 publications

(116 citation statements)

References 37 publications

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“…Other studies in this area have used similar numbers of choice sets and produced logically consistent models. [6][7][8]11 Regarding aim 2, the model estimated on the non-zero prior value design data was more inconsistent than the model estimated using the zero prior value data, with less precise coefficient estimates. To our knowledge this is the first comparison of zero and non-zero prior value designs using DCE TTO , and the findings are unexpected, since the introduction of the non-zero prior values should, in theory, improve the precision of the parameter estimates.…”

Section: Discussionmentioning

confidence: 89%

Using Discrete Choice Experiments with Duration to Model EQ-5D-5L Health State Preferences

et al. 2016

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Background: Discrete choice experiments incorporating duration can be used to derive health state values for EQ-5D-5L. Methodological issues relating to the duration attribute and the optimal way to select health states remain. The aims of this study were to: test increasing the number of duration levels and choice sets where duration varies (aim 1); compare designs with zero and non-zero prior values (aim 2); and investigate a novel twostage design to incorporate prior values (aim 3).

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Section: Discussionmentioning

confidence: 89%

Using Discrete Choice Experiments with Duration to Model EQ-5D-5L Health State Preferences

et al. 2016

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“…It is based on mathematical psychology and was originally applied in the marketing area. Since then, DCE has been used for eliciting preferences of individuals in other academic areas such as transportation and environmental economics and more recently in health (Earl & Kemp, 1999;Kenny et al, 2003;Lancsar & Louviere, 2008;Norman et al, 2013).…”

Section: The Discrete Choice Experiments For Elicitation Of Preferencesmentioning

confidence: 99%

Explanatory variables on south-west spot electricity markets integration

Figueiredo¹,

Silva²

Assessment Methodologies: Energy, Mobility and Other Real World Application

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A navegação consulta e descarregamento dos títulos inseridos nas Bibliotecas Digitais UC Digitalis, UC Pombalina e UC Impactum, pressupõem a aceitação plena e sem reservas dos Termos e Condições de Uso destas Bibliotecas Digitais, disponíveis em https://digitalis.uc.pt/pt-pt/termos.Conforme exposto nos referidos Termos e Condições de Uso, o descarregamento de títulos de acesso restrito requer uma licença válida de autorização devendo o utilizador aceder ao(s) documento(s) a partir de um endereço de IP da instituição detentora da supramencionada licença.Ao utilizador é apenas permitido o descarregamento para uso pessoal, pelo que o emprego do(s) título(s) descarregado(s) para outro fim, designadamente comercial, carece de autorização do respetivo autor ou editor da obra. Na medida em que todas as obras da UC Digitalis se encontram protegidas pelo Código do Direito de Autor e Direitos Conexos e demais legislação aplicável, toda a cópia, parcial ou total, deste documento, nos casos em que é legalmente admitida, deverá conter ou fazer-se acompanhar por este aviso. Assessment Methodologies: energy, mobility and other real world application Autor(es):Godinho, Pedro; Dias, Joana The use of assessment methodologies is becoming increasingly important in the decision making process under very different environments. There are increasing concerns about making the best possible use of the limited available resources.There is also an increasing will of justifying the decisions in a sound way. This is even more important when considering public spending, public scrutiny and governance accountability. The use of recognized assessment techniques is actually mandatory in many situations, considering environmental, social, economic and sustainability concerns.This book gathers contributions from several authors, advancing the state-of- m e a s u r i n g T e c h n i c a l e f f i c i e n c y o f e u r o P e a n c o u n T r i e s u s i n g D aTa e n v e l o P m e n T a n a ly s i s e n e r g y e f f i c i e n c y g ov e r n a n c e i n T h e e u r o P e a n u n i o n m e m b e r s TaT e s -a n a ly s i s o n c u r r e n T s TaT We also want to thank Imprensa da Universidade de Coimbra, in particular Maria João Padez, for supporting us in the publication process. The use of assessment methodologies is becoming increasingly important in the decision making process under very different environments.There are increasing concerns about making the best possible use of the limited available resources. There is also an increasing will of justifying the decisions in a sound way. This is even more important when considering public spending, public scrutiny and governance accountability. Energy is strongly intertwined with mobility, with transportation systems accounting for a significant share of energy consumption across the world. Therefore, it is important to address energy and mobility strategies in an integrated fashion, taking into account their mutually influencing aspects. Energy and mobility strategies should contribute to sustain...

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“…A DCE typically involves the choice of two scenarios, where each scenario is described using a selected level for each attribute. These methods have been used in the past to value processes of care, and more recent research has used DCE to value classification systems of health, to generate preference based-measures, by anchoring the modelled latent values onto the 0-1 scale required for QALYs through the inclusion of an additional attribute for duration (17)(18)(19)(20)(21), often called DCE TTO . DCE with a duration attribute, DCE TTO , was selected in this study to enable the estimation of utility values for each state defined by the classification system that can be used to generate QALYs..…”

Section: Valuation Techniquementioning

confidence: 99%

“…The duration levels were selected as 1 year, 4 years, 7 years and 10 years, since these have been successfully used in previous DCE TTO valuation surveys of the SF-6Dv2 and EQ-5D valuation (21). Since it was infeasible to value all possible combinations of health states, NGene software was used to select a subset of profiles using D-optimal methods (22) to produce a design that would enables estimation of a pre-specified regression model with precision for each parameter.…”

Section: Selecting Profiles For the Dce Surveymentioning

confidence: 99%

Estimating a Preference-Based Single Index Measuring the Quality-of-Life Impact of Self-Management for Diabetes

et al. 2018

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Methods: A large online survey was conducted using a discrete choice experiment (DCE) with duration as an additional attribute on members of the UK general population (n=1,493) to elicit values for health (social limitations, mood, vitality, hypoglycaemia) and non-health (stress, hassle, control, support) aspects of selfmanagement in diabetes. The data was modelled using a conditional fixed-effects logit model and utility estimates were anchored on the 1-0 full health-dead scale. Results:The model produced significant and consistent coefficients, with one logical inconsistency and three insignificant coefficients for the milder levels of some attributes. The anchored utilities range from 1 for the best state to -0.029 for the worst state (meaning worse than dead) defined by the classification system. Conclusion:The results presented here can potentially be used to generate utility values capturing the day to day impact of interventions in diabetes on both health and self-management. These utility values can potentially be used to generate QALYs for use in economic models of the cost-effectiveness of interventions in diabetes.

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Valuing SF-6D Health States Using a Discrete Choice Experiment

Cited by 106 publications

References 37 publications

Using Discrete Choice Experiments with Duration to Model EQ-5D-5L Health State Preferences

Using Discrete Choice Experiments with Duration to Model EQ-5D-5L Health State Preferences

Explanatory variables on south-west spot electricity markets integration

Estimating a Preference-Based Single Index Measuring the Quality-of-Life Impact of Self-Management for Diabetes

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