Valuation and modeling of EQ-5D-5L health states using a hybrid approach

Juan M Ramos-Goni, Jose L. Pinto-Prades, Mark Oppe, Juan M. Cabases, Pedro Serrano-Aguilar, Oliver Rivero-Arias

Research output: Contribution to journalArticle

87 Downloads (Pure)

Abstract

Background: The EQ-5D instrument is the most widely used preference- based health-related quality of life questionnaire in cost-effectiveness analysis of health care technologies. Recently, a version called EQ-5D-5L with 5 levels on each dimension was developed. This manuscript explores the performance of a hybrid approach for the modeling of EQ-5D-5L valuation data.
Methods: Two elicitation techniques, the composite time trade-off, and discrete choice experiments, were applied to a sample of the Spanish population (n = 1000) using a computer-based questionnaire.
The sampling process consisted of 2 stages: stratified sampling of geographic area, followed by systematic sampling in each area. A hybrid regression model combining composite time trade-off and discrete choice data was used to estimate the potential value sets using main effects as starting point. The comparison between the models was performed using the criteria of logical
consistency, goodness of fit, and parsimony.
Results: Twenty-seven participants from the 1000 were removed following the exclusion criteria. The best-fitted model included 2 significant interaction terms but resulted in marginal improvements in model fit compared to the main effects model. We therefore selected the model results with main effects as a potential value set for this methodological study, based on the parsimony criteria. The
results showed that the main effects hybrid model was consistent, with a range of utility values between 1 and 0.224.
Conclusion: This paper shows the feasibility of using a hybrid approach to estimate a value set for EQ-5D-5L valuation data.
Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalMedical Care
DOIs
Publication statusPublished - Dec 2014

Fingerprint

Biomedical Technology
Health
Cost-Benefit Analysis
Quality of Life
Population
Surveys and Questionnaires

Keywords

  • utility theory
  • quality of life
  • maximum likelihood estimation
  • time trade-off
  • discrete choice experiment

Cite this

Ramos-Goni, J. M., Pinto-Prades, J. L., Oppe, M., Cabases, J. M., Serrano-Aguilar, P., & Rivero-Arias, O. (2014). Valuation and modeling of EQ-5D-5L health states using a hybrid approach. Medical Care, 1-8. https://doi.org/10.1097/MLR.0000000000000283
Ramos-Goni, Juan M ; Pinto-Prades, Jose L. ; Oppe, Mark ; Cabases, Juan M. ; Serrano-Aguilar, Pedro ; Rivero-Arias, Oliver. / Valuation and modeling of EQ-5D-5L health states using a hybrid approach. In: Medical Care. 2014 ; pp. 1-8.
@article{21d018750bb14bda82c1a8961f60ea12,
title = "Valuation and modeling of EQ-5D-5L health states using a hybrid approach",
abstract = "Background: The EQ-5D instrument is the most widely used preference- based health-related quality of life questionnaire in cost-effectiveness analysis of health care technologies. Recently, a version called EQ-5D-5L with 5 levels on each dimension was developed. This manuscript explores the performance of a hybrid approach for the modeling of EQ-5D-5L valuation data.Methods: Two elicitation techniques, the composite time trade-off, and discrete choice experiments, were applied to a sample of the Spanish population (n = 1000) using a computer-based questionnaire. The sampling process consisted of 2 stages: stratified sampling of geographic area, followed by systematic sampling in each area. A hybrid regression model combining composite time trade-off and discrete choice data was used to estimate the potential value sets using main effects as starting point. The comparison between the models was performed using the criteria of logicalconsistency, goodness of fit, and parsimony. Results: Twenty-seven participants from the 1000 were removed following the exclusion criteria. The best-fitted model included 2 significant interaction terms but resulted in marginal improvements in model fit compared to the main effects model. We therefore selected the model results with main effects as a potential value set for this methodological study, based on the parsimony criteria. Theresults showed that the main effects hybrid model was consistent, with a range of utility values between 1 and 0.224. Conclusion: This paper shows the feasibility of using a hybrid approach to estimate a value set for EQ-5D-5L valuation data.",
keywords = "utility theory, quality of life, maximum likelihood estimation, time trade-off, discrete choice experiment",
author = "Ramos-Goni, {Juan M} and Pinto-Prades, {Jose L.} and Mark Oppe and Cabases, {Juan M.} and Pedro Serrano-Aguilar and Oliver Rivero-Arias",
year = "2014",
month = "12",
doi = "10.1097/MLR.0000000000000283",
language = "English",
pages = "1--8",
journal = "Medical Care",
issn = "0025-7079",
publisher = "Lippincott Williams & Wilkins",

}

Ramos-Goni, JM, Pinto-Prades, JL, Oppe, M, Cabases, JM, Serrano-Aguilar, P & Rivero-Arias, O 2014, 'Valuation and modeling of EQ-5D-5L health states using a hybrid approach', Medical Care, pp. 1-8. https://doi.org/10.1097/MLR.0000000000000283

Valuation and modeling of EQ-5D-5L health states using a hybrid approach. / Ramos-Goni, Juan M; Pinto-Prades, Jose L.; Oppe, Mark; Cabases, Juan M.; Serrano-Aguilar, Pedro; Rivero-Arias, Oliver.

In: Medical Care, 12.2014, p. 1-8.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Valuation and modeling of EQ-5D-5L health states using a hybrid approach

AU - Ramos-Goni, Juan M

AU - Pinto-Prades, Jose L.

AU - Oppe, Mark

AU - Cabases, Juan M.

AU - Serrano-Aguilar, Pedro

AU - Rivero-Arias, Oliver

PY - 2014/12

Y1 - 2014/12

N2 - Background: The EQ-5D instrument is the most widely used preference- based health-related quality of life questionnaire in cost-effectiveness analysis of health care technologies. Recently, a version called EQ-5D-5L with 5 levels on each dimension was developed. This manuscript explores the performance of a hybrid approach for the modeling of EQ-5D-5L valuation data.Methods: Two elicitation techniques, the composite time trade-off, and discrete choice experiments, were applied to a sample of the Spanish population (n = 1000) using a computer-based questionnaire. The sampling process consisted of 2 stages: stratified sampling of geographic area, followed by systematic sampling in each area. A hybrid regression model combining composite time trade-off and discrete choice data was used to estimate the potential value sets using main effects as starting point. The comparison between the models was performed using the criteria of logicalconsistency, goodness of fit, and parsimony. Results: Twenty-seven participants from the 1000 were removed following the exclusion criteria. The best-fitted model included 2 significant interaction terms but resulted in marginal improvements in model fit compared to the main effects model. We therefore selected the model results with main effects as a potential value set for this methodological study, based on the parsimony criteria. Theresults showed that the main effects hybrid model was consistent, with a range of utility values between 1 and 0.224. Conclusion: This paper shows the feasibility of using a hybrid approach to estimate a value set for EQ-5D-5L valuation data.

AB - Background: The EQ-5D instrument is the most widely used preference- based health-related quality of life questionnaire in cost-effectiveness analysis of health care technologies. Recently, a version called EQ-5D-5L with 5 levels on each dimension was developed. This manuscript explores the performance of a hybrid approach for the modeling of EQ-5D-5L valuation data.Methods: Two elicitation techniques, the composite time trade-off, and discrete choice experiments, were applied to a sample of the Spanish population (n = 1000) using a computer-based questionnaire. The sampling process consisted of 2 stages: stratified sampling of geographic area, followed by systematic sampling in each area. A hybrid regression model combining composite time trade-off and discrete choice data was used to estimate the potential value sets using main effects as starting point. The comparison between the models was performed using the criteria of logicalconsistency, goodness of fit, and parsimony. Results: Twenty-seven participants from the 1000 were removed following the exclusion criteria. The best-fitted model included 2 significant interaction terms but resulted in marginal improvements in model fit compared to the main effects model. We therefore selected the model results with main effects as a potential value set for this methodological study, based on the parsimony criteria. Theresults showed that the main effects hybrid model was consistent, with a range of utility values between 1 and 0.224. Conclusion: This paper shows the feasibility of using a hybrid approach to estimate a value set for EQ-5D-5L valuation data.

KW - utility theory

KW - quality of life

KW - maximum likelihood estimation

KW - time trade-off

KW - discrete choice experiment

U2 - 10.1097/MLR.0000000000000283

DO - 10.1097/MLR.0000000000000283

M3 - Article

SP - 1

EP - 8

JO - Medical Care

JF - Medical Care

SN - 0025-7079

ER -

Ramos-Goni JM, Pinto-Prades JL, Oppe M, Cabases JM, Serrano-Aguilar P, Rivero-Arias O. Valuation and modeling of EQ-5D-5L health states using a hybrid approach. Medical Care. 2014 Dec;1-8. https://doi.org/10.1097/MLR.0000000000000283