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A note on the relationship between age and health-related quality of life assessment
PURPOSE: To extend existing analyses of whether and how the age of respondents is related to their time trade-off (TTO) valuations of hypothetical EQ-5D-3L health states, and to contribute to the existing debate about the rationale and implications for using age-specific utilities in health technolo...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470117/ https://www.ncbi.nlm.nih.gov/pubmed/30523567 http://dx.doi.org/10.1007/s11136-018-2071-5 |
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author | Cubi-Molla, Patricia Shah, Koonal Garside, Jamie Herdman, Mike Devlin, Nancy |
author_facet | Cubi-Molla, Patricia Shah, Koonal Garside, Jamie Herdman, Mike Devlin, Nancy |
author_sort | Cubi-Molla, Patricia |
collection | PubMed |
description | PURPOSE: To extend existing analyses of whether and how the age of respondents is related to their time trade-off (TTO) valuations of hypothetical EQ-5D-3L health states, and to contribute to the existing debate about the rationale and implications for using age-specific utilities in health technology assessment (HTA). METHODS: We use data from the MVH UK valuation study. For each profile, the mean TTO value—adjusted by sex, education, self-reported health and personal experience of serious illness—is pairwise compared across the different age groups. A Bonferroni correction is applied to the multiple testing of significant differences between means. Smile plots illustrate the results. A debate regarding whether there is a case for using age-specific utilities in HTAs complements the analysis. RESULTS: Results show that the oldest respondents value health profiles lower than younger age groups, particularly for profiles describing problems in the mobility dimension. CONCLUSION: The findings raise the possibility of using age-specific value sets in HTAs, since a technology may not be cost-effective on average but cost-effective for a sub-group whose preferences are more closely aligned to the benefits offered by the technology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11136-018-2071-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6470117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-64701172019-05-03 A note on the relationship between age and health-related quality of life assessment Cubi-Molla, Patricia Shah, Koonal Garside, Jamie Herdman, Mike Devlin, Nancy Qual Life Res Brief Communication PURPOSE: To extend existing analyses of whether and how the age of respondents is related to their time trade-off (TTO) valuations of hypothetical EQ-5D-3L health states, and to contribute to the existing debate about the rationale and implications for using age-specific utilities in health technology assessment (HTA). METHODS: We use data from the MVH UK valuation study. For each profile, the mean TTO value—adjusted by sex, education, self-reported health and personal experience of serious illness—is pairwise compared across the different age groups. A Bonferroni correction is applied to the multiple testing of significant differences between means. Smile plots illustrate the results. A debate regarding whether there is a case for using age-specific utilities in HTAs complements the analysis. RESULTS: Results show that the oldest respondents value health profiles lower than younger age groups, particularly for profiles describing problems in the mobility dimension. CONCLUSION: The findings raise the possibility of using age-specific value sets in HTAs, since a technology may not be cost-effective on average but cost-effective for a sub-group whose preferences are more closely aligned to the benefits offered by the technology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11136-018-2071-5) contains supplementary material, which is available to authorized users. Springer International Publishing 2018-12-06 2019 /pmc/articles/PMC6470117/ /pubmed/30523567 http://dx.doi.org/10.1007/s11136-018-2071-5 Text en © The Author(s) 2018 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. |
spellingShingle | Brief Communication Cubi-Molla, Patricia Shah, Koonal Garside, Jamie Herdman, Mike Devlin, Nancy A note on the relationship between age and health-related quality of life assessment |
title | A note on the relationship between age and health-related quality of life assessment |
title_full | A note on the relationship between age and health-related quality of life assessment |
title_fullStr | A note on the relationship between age and health-related quality of life assessment |
title_full_unstemmed | A note on the relationship between age and health-related quality of life assessment |
title_short | A note on the relationship between age and health-related quality of life assessment |
title_sort | note on the relationship between age and health-related quality of life assessment |
topic | Brief Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470117/ https://www.ncbi.nlm.nih.gov/pubmed/30523567 http://dx.doi.org/10.1007/s11136-018-2071-5 |
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