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Comparative Responsiveness of Preference-Based Health-Related Quality of Life, Social Care, and Well-Being Measures in the Context of Multiple Sclerosis

Elizabeth Goodwin, Amy Heather, Nia Morrish, Jenny Freeman, Kate Boddy, Sarah Thomas, Jeremy Chataway, Rod Middleton Orcid Logo, Annie Hawton

Value in Health

Swansea University Author: Rod Middleton Orcid Logo

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DOI (Published version): 10.1016/j.jval.2025.09.3063

Abstract

To provide evidence on the responsiveness of social care and wellbeing preference-based measures (PBMs) compared to health-related quality of life PBMs in the context of multiple sclerosis (MS). The ICEpop CAPability measure for Adults (ICECAP-A) and Adult Social Care Outcomes Toolkit (ASCOT) were c...

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Published in: Value in Health
ISSN: 1098-3015 1524-4733
Published: Elsevier BV 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa70796
first_indexed 2025-10-30T13:53:45Z
last_indexed 2025-11-21T18:10:20Z
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spelling 2025-11-20T13:22:13.8559395 v2 70796 2025-10-30 Comparative Responsiveness of Preference-Based Health-Related Quality of Life, Social Care, and Well-Being Measures in the Context of Multiple Sclerosis 005518f819ef1a2a13fdf438529bdfcd 0000-0002-2130-4420 Rod Middleton Rod Middleton true false 2025-10-30 MEDS To provide evidence on the responsiveness of social care and wellbeing preference-based measures (PBMs) compared to health-related quality of life PBMs in the context of multiple sclerosis (MS). The ICEpop CAPability measure for Adults (ICECAP-A) and Adult Social Care Outcomes Toolkit (ASCOT) were completed online in September 2019, March 2020, September 2020, via the UK MS Register. Responses were linked to EQ-5D-3L and MS Impact Scale-Eight Dimensions (MSIS-8D) values, and to MS Walking Scale-12 (MSWS-12), Hospital Anxiety and Depression Scale (HADS) and Fatigue Severity Scale (FSS) scores. Responsiveness was assessed in relation to minimal important differences on MSWS-12, HADS and FSS between timepoints, using mean change scores, t-tests, standardised effect sizes, standardised response means and multivariable regression analyses. Data from 1,742 people with MS were available for analysis. When using standardised values, MSIS-8D showed the greatest responsiveness and EQ-5D-3L the least. In contrast, when absolute utility values were used, EQ-5D-3L performed similarly to MSIS-8D and better than ICECAP-A and ASCOT. Standardised regression analyses indicated the MSIS-8Ds to be the most responsive, followed by the ASCOT, ICECAP-A, and EQ-5D-3L. The ICECAP-A, ASCOT and MSIS-8D were more responsive than the EQ-5D-3L in the context of MS when compared using standardised scores. The increased responsiveness of EQ-5D-3L when absolute values were used seems an artefact of the wide-ranging scale of this measure. This illustrates how the maximum potential range of values for a given PBM tariff could influence whether an intervention is found to be cost-effective. Journal Article Value in Health 0 Elsevier BV 1098-3015 1524-4733 Preference-based measures; Responsiveness; EQ-5DWellbeing measures; Social care related quality of life measures; Health-related quality of life measures; QALY measures 14 10 2025 2025-10-14 10.1016/j.jval.2025.09.3063 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University Another institution paid the OA fee This work was supported by Grant 82 from the UK Multiple Sclerosis Society. 2025-11-20T13:22:13.8559395 2025-10-30T13:49:50.0122321 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Elizabeth Goodwin 1 Amy Heather 2 Nia Morrish 3 Jenny Freeman 4 Kate Boddy 5 Sarah Thomas 6 Jeremy Chataway 7 Rod Middleton 0000-0002-2130-4420 8 Annie Hawton 9
title Comparative Responsiveness of Preference-Based Health-Related Quality of Life, Social Care, and Well-Being Measures in the Context of Multiple Sclerosis
spellingShingle Comparative Responsiveness of Preference-Based Health-Related Quality of Life, Social Care, and Well-Being Measures in the Context of Multiple Sclerosis
Rod Middleton
title_short Comparative Responsiveness of Preference-Based Health-Related Quality of Life, Social Care, and Well-Being Measures in the Context of Multiple Sclerosis
title_full Comparative Responsiveness of Preference-Based Health-Related Quality of Life, Social Care, and Well-Being Measures in the Context of Multiple Sclerosis
title_fullStr Comparative Responsiveness of Preference-Based Health-Related Quality of Life, Social Care, and Well-Being Measures in the Context of Multiple Sclerosis
title_full_unstemmed Comparative Responsiveness of Preference-Based Health-Related Quality of Life, Social Care, and Well-Being Measures in the Context of Multiple Sclerosis
title_sort Comparative Responsiveness of Preference-Based Health-Related Quality of Life, Social Care, and Well-Being Measures in the Context of Multiple Sclerosis
author_id_str_mv 005518f819ef1a2a13fdf438529bdfcd
author_id_fullname_str_mv 005518f819ef1a2a13fdf438529bdfcd_***_Rod Middleton
author Rod Middleton
author2 Elizabeth Goodwin
Amy Heather
Nia Morrish
Jenny Freeman
Kate Boddy
Sarah Thomas
Jeremy Chataway
Rod Middleton
Annie Hawton
format Journal article
container_title Value in Health
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publishDate 2025
institution Swansea University
issn 1098-3015
1524-4733
doi_str_mv 10.1016/j.jval.2025.09.3063
publisher Elsevier BV
college_str Faculty of Medicine, Health and Life Sciences
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hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
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description To provide evidence on the responsiveness of social care and wellbeing preference-based measures (PBMs) compared to health-related quality of life PBMs in the context of multiple sclerosis (MS). The ICEpop CAPability measure for Adults (ICECAP-A) and Adult Social Care Outcomes Toolkit (ASCOT) were completed online in September 2019, March 2020, September 2020, via the UK MS Register. Responses were linked to EQ-5D-3L and MS Impact Scale-Eight Dimensions (MSIS-8D) values, and to MS Walking Scale-12 (MSWS-12), Hospital Anxiety and Depression Scale (HADS) and Fatigue Severity Scale (FSS) scores. Responsiveness was assessed in relation to minimal important differences on MSWS-12, HADS and FSS between timepoints, using mean change scores, t-tests, standardised effect sizes, standardised response means and multivariable regression analyses. Data from 1,742 people with MS were available for analysis. When using standardised values, MSIS-8D showed the greatest responsiveness and EQ-5D-3L the least. In contrast, when absolute utility values were used, EQ-5D-3L performed similarly to MSIS-8D and better than ICECAP-A and ASCOT. Standardised regression analyses indicated the MSIS-8Ds to be the most responsive, followed by the ASCOT, ICECAP-A, and EQ-5D-3L. The ICECAP-A, ASCOT and MSIS-8D were more responsive than the EQ-5D-3L in the context of MS when compared using standardised scores. The increased responsiveness of EQ-5D-3L when absolute values were used seems an artefact of the wide-ranging scale of this measure. This illustrates how the maximum potential range of values for a given PBM tariff could influence whether an intervention is found to be cost-effective.
published_date 2025-10-14T05:30:30Z
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