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Using the EQ-5D-5L to investigate quality-of-life impacts of disease-modifying therapy policies for people with multiple sclerosis (MS) in New Zealand

BACKGROUND: Health state utilities (HSU) are a health-related quality-of-life (HRQoL) input for cost-utility analyses used for resource allocation decisions, including medication reimbursement. New Zealand (NZ) guidelines recommend the EQ-5D instruments; however, the EQ-5D-5L may not sufficiently ca...

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Autores principales: Claflin, Suzi, Campbell, Julie A., Norman, Richard, Mason, Deborah F., Kalincik, Tomas, Simpson-Yap, Steve, Butzkueven, Helmut, Carroll, William M., Palmer, Andrew J., Blizzard, C. Leigh, van der Mei, Ingrid, Henson, Glen J., Taylor, Bruce V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290609/
https://www.ncbi.nlm.nih.gov/pubmed/36149605
http://dx.doi.org/10.1007/s10198-022-01518-x
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author Claflin, Suzi
Campbell, Julie A.
Norman, Richard
Mason, Deborah F.
Kalincik, Tomas
Simpson-Yap, Steve
Butzkueven, Helmut
Carroll, William M.
Palmer, Andrew J.
Blizzard, C. Leigh
van der Mei, Ingrid
Henson, Glen J.
Taylor, Bruce V.
author_facet Claflin, Suzi
Campbell, Julie A.
Norman, Richard
Mason, Deborah F.
Kalincik, Tomas
Simpson-Yap, Steve
Butzkueven, Helmut
Carroll, William M.
Palmer, Andrew J.
Blizzard, C. Leigh
van der Mei, Ingrid
Henson, Glen J.
Taylor, Bruce V.
author_sort Claflin, Suzi
collection PubMed
description BACKGROUND: Health state utilities (HSU) are a health-related quality-of-life (HRQoL) input for cost-utility analyses used for resource allocation decisions, including medication reimbursement. New Zealand (NZ) guidelines recommend the EQ-5D instruments; however, the EQ-5D-5L may not sufficiently capture psychosocial health. We evaluated HRQoL among people with multiple sclerosis (MS) in NZ using the EQ-5D-5L and assessed the instrument’s discriminatory sensitivity for a NZ MS cohort. METHODS: Participants were recruited from the NZ MS Prevalence Study. Participants self-completed a 45-min online survey that included the EQ-5D-5L/EQ-VAS. Disability severity was classified using the Expanded Disability Status Scale (EDSS) to categorise participant disability as mild (EDSS: 0–3.5), moderate (EDSS: 4.0–6.0) and severe (EDSS: 6.5–9.5). Anxiety/depression were also measured using the Hospital Anxiety and Depression Score (HADS). In the absence of an EQ-5D-5L NZ tariff, HSUs were derived using an Australian tariff. We evaluated associations between HSUs and participant characteristics with linear regression models. RESULTS: 254 participants entered the study. Mean age was 55.2 years, 79.5% were female. Mean (SD) EQ-5D-5L HSU was 0.58 (0.33). Mean (SD) HSUs for disability categories were: mild 0.80 ± 0.17, moderate 0.57 ± 0.21 and severe 0.14 ± 0.32. Twelve percent reported HSU = 1.0 (i.e., no problems in any domain). Participants who had never used a disease-modifying therapy reported a lower mean HSU. Multivariable modelling found that the HADS anxiety score was not associated with EQ-5D-5L. CONCLUSIONS: HRQoL for people with MS in NZ was lower than comparable countries, including Australia. We suggest a comparison with other generic tools that may have improved sensitivity to mental health.
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spelling pubmed-102906092023-06-26 Using the EQ-5D-5L to investigate quality-of-life impacts of disease-modifying therapy policies for people with multiple sclerosis (MS) in New Zealand Claflin, Suzi Campbell, Julie A. Norman, Richard Mason, Deborah F. Kalincik, Tomas Simpson-Yap, Steve Butzkueven, Helmut Carroll, William M. Palmer, Andrew J. Blizzard, C. Leigh van der Mei, Ingrid Henson, Glen J. Taylor, Bruce V. Eur J Health Econ Original Paper BACKGROUND: Health state utilities (HSU) are a health-related quality-of-life (HRQoL) input for cost-utility analyses used for resource allocation decisions, including medication reimbursement. New Zealand (NZ) guidelines recommend the EQ-5D instruments; however, the EQ-5D-5L may not sufficiently capture psychosocial health. We evaluated HRQoL among people with multiple sclerosis (MS) in NZ using the EQ-5D-5L and assessed the instrument’s discriminatory sensitivity for a NZ MS cohort. METHODS: Participants were recruited from the NZ MS Prevalence Study. Participants self-completed a 45-min online survey that included the EQ-5D-5L/EQ-VAS. Disability severity was classified using the Expanded Disability Status Scale (EDSS) to categorise participant disability as mild (EDSS: 0–3.5), moderate (EDSS: 4.0–6.0) and severe (EDSS: 6.5–9.5). Anxiety/depression were also measured using the Hospital Anxiety and Depression Score (HADS). In the absence of an EQ-5D-5L NZ tariff, HSUs were derived using an Australian tariff. We evaluated associations between HSUs and participant characteristics with linear regression models. RESULTS: 254 participants entered the study. Mean age was 55.2 years, 79.5% were female. Mean (SD) EQ-5D-5L HSU was 0.58 (0.33). Mean (SD) HSUs for disability categories were: mild 0.80 ± 0.17, moderate 0.57 ± 0.21 and severe 0.14 ± 0.32. Twelve percent reported HSU = 1.0 (i.e., no problems in any domain). Participants who had never used a disease-modifying therapy reported a lower mean HSU. Multivariable modelling found that the HADS anxiety score was not associated with EQ-5D-5L. CONCLUSIONS: HRQoL for people with MS in NZ was lower than comparable countries, including Australia. We suggest a comparison with other generic tools that may have improved sensitivity to mental health. Springer Berlin Heidelberg 2022-09-23 2023 /pmc/articles/PMC10290609/ /pubmed/36149605 http://dx.doi.org/10.1007/s10198-022-01518-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Claflin, Suzi
Campbell, Julie A.
Norman, Richard
Mason, Deborah F.
Kalincik, Tomas
Simpson-Yap, Steve
Butzkueven, Helmut
Carroll, William M.
Palmer, Andrew J.
Blizzard, C. Leigh
van der Mei, Ingrid
Henson, Glen J.
Taylor, Bruce V.
Using the EQ-5D-5L to investigate quality-of-life impacts of disease-modifying therapy policies for people with multiple sclerosis (MS) in New Zealand
title Using the EQ-5D-5L to investigate quality-of-life impacts of disease-modifying therapy policies for people with multiple sclerosis (MS) in New Zealand
title_full Using the EQ-5D-5L to investigate quality-of-life impacts of disease-modifying therapy policies for people with multiple sclerosis (MS) in New Zealand
title_fullStr Using the EQ-5D-5L to investigate quality-of-life impacts of disease-modifying therapy policies for people with multiple sclerosis (MS) in New Zealand
title_full_unstemmed Using the EQ-5D-5L to investigate quality-of-life impacts of disease-modifying therapy policies for people with multiple sclerosis (MS) in New Zealand
title_short Using the EQ-5D-5L to investigate quality-of-life impacts of disease-modifying therapy policies for people with multiple sclerosis (MS) in New Zealand
title_sort using the eq-5d-5l to investigate quality-of-life impacts of disease-modifying therapy policies for people with multiple sclerosis (ms) in new zealand
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290609/
https://www.ncbi.nlm.nih.gov/pubmed/36149605
http://dx.doi.org/10.1007/s10198-022-01518-x
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