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Modelling the relationship between the WOMAC osteoarthritis index and EQ-5D

OBJECTIVE: Economic evaluation typically is conducted using health state utilities to estimate treatment benefits. However, such outcomes are often missing from studies of clinical effectiveness. This study aims to bridge that gap by providing appropriate methods to link values from the Western Onta...

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Autores principales: Wailoo, Allan, Hernandez Alava, Monica, Escobar Martinez, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4007823/
https://www.ncbi.nlm.nih.gov/pubmed/24621311
http://dx.doi.org/10.1186/1477-7525-12-37
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author Wailoo, Allan
Hernandez Alava, Monica
Escobar Martinez, Antonio
author_facet Wailoo, Allan
Hernandez Alava, Monica
Escobar Martinez, Antonio
author_sort Wailoo, Allan
collection PubMed
description OBJECTIVE: Economic evaluation typically is conducted using health state utilities to estimate treatment benefits. However, such outcomes are often missing from studies of clinical effectiveness. This study aims to bridge that gap by providing appropriate methods to link values from the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) to the EQ-5D utility instrument. METHOD: Patients from a large registry of Spanish patients (n = 7072 observations) with knee or hip osteoarthritis who completed both WOMAC and EQ-5D was used. A mixture model approach was used based on distributions bespoke to the EQ-5D UK value set to estimate EQ-5D as a function of WOMAC pain, stiffness and function subscores. RESULTS: A five class mixture model provides very close fit to the observed data at all levels of disease severity. The overall mean (0.542 vs 0.542), median (0.620 vs 0.636) and the percentage of observations at full health (15 vs 14.8) were very similar between the observed data and the estimated model respectively. Stiffness has limited relationship to EQ-5D, whereas functional disability and pain are strong predictors. CONCLUSION: EQ-5D can be reliably estimated from WOMAC subscale scores without any systematic bias using these results.
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spelling pubmed-40078232014-05-03 Modelling the relationship between the WOMAC osteoarthritis index and EQ-5D Wailoo, Allan Hernandez Alava, Monica Escobar Martinez, Antonio Health Qual Life Outcomes Research OBJECTIVE: Economic evaluation typically is conducted using health state utilities to estimate treatment benefits. However, such outcomes are often missing from studies of clinical effectiveness. This study aims to bridge that gap by providing appropriate methods to link values from the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) to the EQ-5D utility instrument. METHOD: Patients from a large registry of Spanish patients (n = 7072 observations) with knee or hip osteoarthritis who completed both WOMAC and EQ-5D was used. A mixture model approach was used based on distributions bespoke to the EQ-5D UK value set to estimate EQ-5D as a function of WOMAC pain, stiffness and function subscores. RESULTS: A five class mixture model provides very close fit to the observed data at all levels of disease severity. The overall mean (0.542 vs 0.542), median (0.620 vs 0.636) and the percentage of observations at full health (15 vs 14.8) were very similar between the observed data and the estimated model respectively. Stiffness has limited relationship to EQ-5D, whereas functional disability and pain are strong predictors. CONCLUSION: EQ-5D can be reliably estimated from WOMAC subscale scores without any systematic bias using these results. BioMed Central 2014-03-12 /pmc/articles/PMC4007823/ /pubmed/24621311 http://dx.doi.org/10.1186/1477-7525-12-37 Text en Copyright © 2014 Wailoo et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Wailoo, Allan
Hernandez Alava, Monica
Escobar Martinez, Antonio
Modelling the relationship between the WOMAC osteoarthritis index and EQ-5D
title Modelling the relationship between the WOMAC osteoarthritis index and EQ-5D
title_full Modelling the relationship between the WOMAC osteoarthritis index and EQ-5D
title_fullStr Modelling the relationship between the WOMAC osteoarthritis index and EQ-5D
title_full_unstemmed Modelling the relationship between the WOMAC osteoarthritis index and EQ-5D
title_short Modelling the relationship between the WOMAC osteoarthritis index and EQ-5D
title_sort modelling the relationship between the womac osteoarthritis index and eq-5d
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4007823/
https://www.ncbi.nlm.nih.gov/pubmed/24621311
http://dx.doi.org/10.1186/1477-7525-12-37
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