Validation of the EQ-5D-5L and psychosocial bolt-ons in a large cohort of people living with multiple sclerosis in Australia

Background Multiple sclerosis (MS) is an inflammatory, neurodegenerative disease of the central nervous system which results in disability over time and reduced quality of life. To increase the sensitivity of the EQ-5D-5L for psychosocial health, four bolt-on items from the AQoL-8D were used to crea...

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Veröffentlicht in:Quality of life research 2023-02, Vol.32 (2), p.553-568
Hauptverfasser: Campbell, Julie A., Ahmad, Hasnat, Chen, Gang, van der Mei, Ingrid, Taylor, Bruce V., Claflin, Suzi, Henson, Glen J., Simpson-Yap, Steve, Laslett, Laura L., Hawkes, Kirsty, Hurst, Carol, Waugh, Hilary, Palmer, Andrew J.
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container_end_page 568
container_issue 2
container_start_page 553
container_title Quality of life research
container_volume 32
creator Campbell, Julie A.
Ahmad, Hasnat
Chen, Gang
van der Mei, Ingrid
Taylor, Bruce V.
Claflin, Suzi
Henson, Glen J.
Simpson-Yap, Steve
Laslett, Laura L.
Hawkes, Kirsty
Hurst, Carol
Waugh, Hilary
Palmer, Andrew J.
description Background Multiple sclerosis (MS) is an inflammatory, neurodegenerative disease of the central nervous system which results in disability over time and reduced quality of life. To increase the sensitivity of the EQ-5D-5L for psychosocial health, four bolt-on items from the AQoL-8D were used to create the nine-item EQ-5D-5L-Psychosocial. We aimed to externally validate the EQ-5D-5L-Psychosocial in a large cohort of people with MS (pwMS) and explore the discriminatory power of the new instrument with EQ-5D-5L/AQoL-8D. Methods A large representative sample from the Australian MS Longitudinal Study completed the AQoL-8D and EQ-5D-5L (including EQ VAS) and both instruments health state utilities (HSUs) were scored using Australian tariffs. Sociodemographic/clinical data were also collected. External validity of EQ-5D-5L-Psychosocial scoring algorithm was assessed with mean absolute errors (MAE) and Spearman’s correlation coefficient. Discriminatory sensitivity was assessed with an examination of ceiling/floor effects, and disability severity classifications. Results Among 1683 participants (mean age: 58.6 years; 80% female), over half (55%) had moderate or severe disability. MAE (0.063) and the distribution of the prediction error were similar to the original development study. Mean (± standard deviation) HSUs were EQ-5D-5L: 0.58 ± 0.32, EQ-5D-5L-Psychosocial 0.62 ± 0.29, and AQoL-8D: 0.63 ± 0.20. N  = 157 (10%) scored perfect health (i.e. HSU = 1.0) on the EQ-5D-5L, but reported a mean HSU of 0.90 on the alternative instruments. The Sleep bolt-on dimension was particularly important for pwMS. Conclusions The EQ-5D-5L-Psychosocial is more sensitive than the EQ-5D-5L in pwMS whose HSUs approach those reflecting full health. When respondent burden is taken into account, the EQ-5D-5L-Psychosocial is preferential to the AQoL-8D. We suggest a larger confirmatory study comparing all prevalent multi-attribute utility instruments for pwMS.
doi_str_mv 10.1007/s11136-022-03214-y
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To increase the sensitivity of the EQ-5D-5L for psychosocial health, four bolt-on items from the AQoL-8D were used to create the nine-item EQ-5D-5L-Psychosocial. We aimed to externally validate the EQ-5D-5L-Psychosocial in a large cohort of people with MS (pwMS) and explore the discriminatory power of the new instrument with EQ-5D-5L/AQoL-8D. Methods A large representative sample from the Australian MS Longitudinal Study completed the AQoL-8D and EQ-5D-5L (including EQ VAS) and both instruments health state utilities (HSUs) were scored using Australian tariffs. Sociodemographic/clinical data were also collected. External validity of EQ-5D-5L-Psychosocial scoring algorithm was assessed with mean absolute errors (MAE) and Spearman’s correlation coefficient. Discriminatory sensitivity was assessed with an examination of ceiling/floor effects, and disability severity classifications. Results Among 1683 participants (mean age: 58.6 years; 80% female), over half (55%) had moderate or severe disability. MAE (0.063) and the distribution of the prediction error were similar to the original development study. Mean (± standard deviation) HSUs were EQ-5D-5L: 0.58 ± 0.32, EQ-5D-5L-Psychosocial 0.62 ± 0.29, and AQoL-8D: 0.63 ± 0.20. N  = 157 (10%) scored perfect health (i.e. HSU = 1.0) on the EQ-5D-5L, but reported a mean HSU of 0.90 on the alternative instruments. The Sleep bolt-on dimension was particularly important for pwMS. Conclusions The EQ-5D-5L-Psychosocial is more sensitive than the EQ-5D-5L in pwMS whose HSUs approach those reflecting full health. When respondent burden is taken into account, the EQ-5D-5L-Psychosocial is preferential to the AQoL-8D. We suggest a larger confirmatory study comparing all prevalent multi-attribute utility instruments for pwMS.</description><identifier>ISSN: 0962-9343</identifier><identifier>EISSN: 1573-2649</identifier><identifier>DOI: 10.1007/s11136-022-03214-y</identifier><identifier>PMID: 36036311</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Australia ; Female ; Humans ; Longitudinal Studies ; Male ; Medicine ; Medicine &amp; Public Health ; Middle Aged ; Multiple Sclerosis ; Neurodegenerative Diseases ; Psychometrics - methods ; Public Health ; Quality of Life - psychology ; Quality of Life Research ; Sociology ; Surveys and Questionnaires</subject><ispartof>Quality of life research, 2023-02, Vol.32 (2), p.553-568</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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To increase the sensitivity of the EQ-5D-5L for psychosocial health, four bolt-on items from the AQoL-8D were used to create the nine-item EQ-5D-5L-Psychosocial. We aimed to externally validate the EQ-5D-5L-Psychosocial in a large cohort of people with MS (pwMS) and explore the discriminatory power of the new instrument with EQ-5D-5L/AQoL-8D. Methods A large representative sample from the Australian MS Longitudinal Study completed the AQoL-8D and EQ-5D-5L (including EQ VAS) and both instruments health state utilities (HSUs) were scored using Australian tariffs. Sociodemographic/clinical data were also collected. External validity of EQ-5D-5L-Psychosocial scoring algorithm was assessed with mean absolute errors (MAE) and Spearman’s correlation coefficient. Discriminatory sensitivity was assessed with an examination of ceiling/floor effects, and disability severity classifications. Results Among 1683 participants (mean age: 58.6 years; 80% female), over half (55%) had moderate or severe disability. MAE (0.063) and the distribution of the prediction error were similar to the original development study. Mean (± standard deviation) HSUs were EQ-5D-5L: 0.58 ± 0.32, EQ-5D-5L-Psychosocial 0.62 ± 0.29, and AQoL-8D: 0.63 ± 0.20. N  = 157 (10%) scored perfect health (i.e. HSU = 1.0) on the EQ-5D-5L, but reported a mean HSU of 0.90 on the alternative instruments. The Sleep bolt-on dimension was particularly important for pwMS. Conclusions The EQ-5D-5L-Psychosocial is more sensitive than the EQ-5D-5L in pwMS whose HSUs approach those reflecting full health. When respondent burden is taken into account, the EQ-5D-5L-Psychosocial is preferential to the AQoL-8D. 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Ahmad, Hasnat ; Chen, Gang ; van der Mei, Ingrid ; Taylor, Bruce V. ; Claflin, Suzi ; Henson, Glen J. ; Simpson-Yap, Steve ; Laslett, Laura L. ; Hawkes, Kirsty ; Hurst, Carol ; Waugh, Hilary ; Palmer, Andrew J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c474t-e78c3ebeea2c6ec023f747a6309ea01815b269ef43a182cafa14dcb319fd82693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Australia</topic><topic>Female</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Middle Aged</topic><topic>Multiple Sclerosis</topic><topic>Neurodegenerative Diseases</topic><topic>Psychometrics - methods</topic><topic>Public Health</topic><topic>Quality of Life - psychology</topic><topic>Quality of Life Research</topic><topic>Sociology</topic><topic>Surveys and Questionnaires</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Campbell, Julie A.</creatorcontrib><creatorcontrib>Ahmad, Hasnat</creatorcontrib><creatorcontrib>Chen, Gang</creatorcontrib><creatorcontrib>van der Mei, Ingrid</creatorcontrib><creatorcontrib>Taylor, Bruce V.</creatorcontrib><creatorcontrib>Claflin, Suzi</creatorcontrib><creatorcontrib>Henson, Glen J.</creatorcontrib><creatorcontrib>Simpson-Yap, Steve</creatorcontrib><creatorcontrib>Laslett, Laura L.</creatorcontrib><creatorcontrib>Hawkes, Kirsty</creatorcontrib><creatorcontrib>Hurst, Carol</creatorcontrib><creatorcontrib>Waugh, Hilary</creatorcontrib><creatorcontrib>Palmer, Andrew J.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; 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To increase the sensitivity of the EQ-5D-5L for psychosocial health, four bolt-on items from the AQoL-8D were used to create the nine-item EQ-5D-5L-Psychosocial. We aimed to externally validate the EQ-5D-5L-Psychosocial in a large cohort of people with MS (pwMS) and explore the discriminatory power of the new instrument with EQ-5D-5L/AQoL-8D. Methods A large representative sample from the Australian MS Longitudinal Study completed the AQoL-8D and EQ-5D-5L (including EQ VAS) and both instruments health state utilities (HSUs) were scored using Australian tariffs. Sociodemographic/clinical data were also collected. External validity of EQ-5D-5L-Psychosocial scoring algorithm was assessed with mean absolute errors (MAE) and Spearman’s correlation coefficient. Discriminatory sensitivity was assessed with an examination of ceiling/floor effects, and disability severity classifications. Results Among 1683 participants (mean age: 58.6 years; 80% female), over half (55%) had moderate or severe disability. MAE (0.063) and the distribution of the prediction error were similar to the original development study. Mean (± standard deviation) HSUs were EQ-5D-5L: 0.58 ± 0.32, EQ-5D-5L-Psychosocial 0.62 ± 0.29, and AQoL-8D: 0.63 ± 0.20. N  = 157 (10%) scored perfect health (i.e. HSU = 1.0) on the EQ-5D-5L, but reported a mean HSU of 0.90 on the alternative instruments. The Sleep bolt-on dimension was particularly important for pwMS. Conclusions The EQ-5D-5L-Psychosocial is more sensitive than the EQ-5D-5L in pwMS whose HSUs approach those reflecting full health. When respondent burden is taken into account, the EQ-5D-5L-Psychosocial is preferential to the AQoL-8D. We suggest a larger confirmatory study comparing all prevalent multi-attribute utility instruments for pwMS.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>36036311</pmid><doi>10.1007/s11136-022-03214-y</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0001-6521-3056</orcidid><orcidid>https://orcid.org/0000-0001-9009-7472</orcidid><orcidid>https://orcid.org/0000-0002-8385-5965</orcidid><orcidid>https://orcid.org/0000-0002-4336-0095</orcidid><orcidid>https://orcid.org/0000-0002-1237-5710</orcidid><orcidid>https://orcid.org/0000-0003-2807-0070</orcidid><orcidid>https://orcid.org/0000-0002-1820-6758</orcidid><oa>free_for_read</oa></addata></record>
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subjects Australia
Female
Humans
Longitudinal Studies
Male
Medicine
Medicine & Public Health
Middle Aged
Multiple Sclerosis
Neurodegenerative Diseases
Psychometrics - methods
Public Health
Quality of Life - psychology
Quality of Life Research
Sociology
Surveys and Questionnaires
title Validation of the EQ-5D-5L and psychosocial bolt-ons in a large cohort of people living with multiple sclerosis in Australia
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