Cargando…
Mapping the medical outcomes study HIV health survey (MOS-HIV) to the EuroQoL 5 Dimension (EQ-5D-3 L) utility index
BACKGROUND: Mapping of health-related quality-of-life measures to health utility values can facilitate cost-utility evaluation. Regression-based methods tend to lead to shrinkage of variance. This study aims to map the Medical Outcomes Study HIV Health Survey (MOS-HIV) to EuroQoL 5 Dimensions (EQ-5D...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511158/ https://www.ncbi.nlm.nih.gov/pubmed/31077251 http://dx.doi.org/10.1186/s12955-019-1135-8 |
_version_ | 1783417530503659520 |
---|---|
author | Shi, Yuan Thompson, Jennifer Walker, A. Sarah Paton, Nicholas I. Cheung, Yin Bun |
author_facet | Shi, Yuan Thompson, Jennifer Walker, A. Sarah Paton, Nicholas I. Cheung, Yin Bun |
author_sort | Shi, Yuan |
collection | PubMed |
description | BACKGROUND: Mapping of health-related quality-of-life measures to health utility values can facilitate cost-utility evaluation. Regression-based methods tend to lead to shrinkage of variance. This study aims to map the Medical Outcomes Study HIV Health Survey (MOS-HIV) to EuroQoL 5 Dimensions (EQ-5D-3 L) utility index, and to characterize the performance of three mapping methods, including ordinary least squares (OLS), equi-percentile method (EPM), and a recently proposed method called Mean Rank Method (MRM). METHODS: This is a secondary analysis of data from a randomized HIV treatment trial. Baseline data from 421 participants were used to develop mapping functions. Follow-up data from 236 participants was used to validate the mapping functions. RESULTS: In the training dataset, MRM and OLS, but not EPM, reproduced the observed mean utility (0.731). MRM, OLS and EPM under-estimated the standard deviation by 0.3, 26.6 and 1.7%, respectively. MRM had the lowest mean absolute error (0.143) and highest intraclass correlation coefficient (0.723) with the observed utility values, whereas OLS had the lowest mean squared error (0.038) and highest R-squared (0.542). Regressing the MRM- and OLS-mapped utility values upon body mass index and log-viral load gave covariate associations comparable to those estimated from the observed utility data (all P > 0.10). EPM did not achieve this property. Findings from the validation data were similar. CONCLUSIONS: Functions are available for mapping the MOS-HIV to the EQ-5D-3 L utility values. MRM and OLS were comparable in terms of agreement with the observed utility values at the individual level. MRM had better performance at the group level in terms of describing the utility distribution. TRIAL REGISTRATION: NCT00988039. Registered 30 September 2009. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12955-019-1135-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6511158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65111582019-05-20 Mapping the medical outcomes study HIV health survey (MOS-HIV) to the EuroQoL 5 Dimension (EQ-5D-3 L) utility index Shi, Yuan Thompson, Jennifer Walker, A. Sarah Paton, Nicholas I. Cheung, Yin Bun Health Qual Life Outcomes Research BACKGROUND: Mapping of health-related quality-of-life measures to health utility values can facilitate cost-utility evaluation. Regression-based methods tend to lead to shrinkage of variance. This study aims to map the Medical Outcomes Study HIV Health Survey (MOS-HIV) to EuroQoL 5 Dimensions (EQ-5D-3 L) utility index, and to characterize the performance of three mapping methods, including ordinary least squares (OLS), equi-percentile method (EPM), and a recently proposed method called Mean Rank Method (MRM). METHODS: This is a secondary analysis of data from a randomized HIV treatment trial. Baseline data from 421 participants were used to develop mapping functions. Follow-up data from 236 participants was used to validate the mapping functions. RESULTS: In the training dataset, MRM and OLS, but not EPM, reproduced the observed mean utility (0.731). MRM, OLS and EPM under-estimated the standard deviation by 0.3, 26.6 and 1.7%, respectively. MRM had the lowest mean absolute error (0.143) and highest intraclass correlation coefficient (0.723) with the observed utility values, whereas OLS had the lowest mean squared error (0.038) and highest R-squared (0.542). Regressing the MRM- and OLS-mapped utility values upon body mass index and log-viral load gave covariate associations comparable to those estimated from the observed utility data (all P > 0.10). EPM did not achieve this property. Findings from the validation data were similar. CONCLUSIONS: Functions are available for mapping the MOS-HIV to the EQ-5D-3 L utility values. MRM and OLS were comparable in terms of agreement with the observed utility values at the individual level. MRM had better performance at the group level in terms of describing the utility distribution. TRIAL REGISTRATION: NCT00988039. Registered 30 September 2009. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12955-019-1135-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-10 /pmc/articles/PMC6511158/ /pubmed/31077251 http://dx.doi.org/10.1186/s12955-019-1135-8 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Shi, Yuan Thompson, Jennifer Walker, A. Sarah Paton, Nicholas I. Cheung, Yin Bun Mapping the medical outcomes study HIV health survey (MOS-HIV) to the EuroQoL 5 Dimension (EQ-5D-3 L) utility index |
title | Mapping the medical outcomes study HIV health survey (MOS-HIV) to the EuroQoL 5 Dimension (EQ-5D-3 L) utility index |
title_full | Mapping the medical outcomes study HIV health survey (MOS-HIV) to the EuroQoL 5 Dimension (EQ-5D-3 L) utility index |
title_fullStr | Mapping the medical outcomes study HIV health survey (MOS-HIV) to the EuroQoL 5 Dimension (EQ-5D-3 L) utility index |
title_full_unstemmed | Mapping the medical outcomes study HIV health survey (MOS-HIV) to the EuroQoL 5 Dimension (EQ-5D-3 L) utility index |
title_short | Mapping the medical outcomes study HIV health survey (MOS-HIV) to the EuroQoL 5 Dimension (EQ-5D-3 L) utility index |
title_sort | mapping the medical outcomes study hiv health survey (mos-hiv) to the euroqol 5 dimension (eq-5d-3 l) utility index |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511158/ https://www.ncbi.nlm.nih.gov/pubmed/31077251 http://dx.doi.org/10.1186/s12955-019-1135-8 |
work_keys_str_mv | AT shiyuan mappingthemedicaloutcomesstudyhivhealthsurveymoshivtotheeuroqol5dimensioneq5d3lutilityindex AT thompsonjennifer mappingthemedicaloutcomesstudyhivhealthsurveymoshivtotheeuroqol5dimensioneq5d3lutilityindex AT walkerasarah mappingthemedicaloutcomesstudyhivhealthsurveymoshivtotheeuroqol5dimensioneq5d3lutilityindex AT patonnicholasi mappingthemedicaloutcomesstudyhivhealthsurveymoshivtotheeuroqol5dimensioneq5d3lutilityindex AT cheungyinbun mappingthemedicaloutcomesstudyhivhealthsurveymoshivtotheeuroqol5dimensioneq5d3lutilityindex AT mappingthemedicaloutcomesstudyhivhealthsurveymoshivtotheeuroqol5dimensioneq5d3lutilityindex |