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Developing a crosswalk between the RAND-12 and the health utilities index for multiple sclerosis

BACKGROUND: Researchers studying health-related quality of life (HRQOL) in multiple sclerosis (MS) can choose from many instruments, but findings from studies which use different instruments cannot be easily combined. We aimed to develop a crosswalk that associates scores from the RAND-12 to scores...

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Autores principales: Marrie, Ruth Ann, Dufault, Brenden, Tyry, Tuula, Cutter, Gary R, Fox, Robert J, Salter, Amber
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412875/
https://www.ncbi.nlm.nih.gov/pubmed/31161917
http://dx.doi.org/10.1177/1352458519852722
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author Marrie, Ruth Ann
Dufault, Brenden
Tyry, Tuula
Cutter, Gary R
Fox, Robert J
Salter, Amber
author_facet Marrie, Ruth Ann
Dufault, Brenden
Tyry, Tuula
Cutter, Gary R
Fox, Robert J
Salter, Amber
author_sort Marrie, Ruth Ann
collection PubMed
description BACKGROUND: Researchers studying health-related quality of life (HRQOL) in multiple sclerosis (MS) can choose from many instruments, but findings from studies which use different instruments cannot be easily combined. We aimed to develop a crosswalk that associates scores from the RAND-12 to scores on the Health Utilities Index—Mark III (HUI3) in persons with MS. METHODS: In 2018, participants in the North American Research Committee on Multiple Sclerosis (NARCOMS) registry completed the RAND-12 and the HUI3 to assess HRQOL. We used item-response theory (IRT) and equipercentile linking approaches to develop a crosswalk between instruments. We compared predicted scores for the HUI3 from each crosswalk to observed scores using Pearson correlations, intraclass correlation coefficients (ICCs), and Bland–Altman plots. RESULTS: Of 11,389 invited participants, 7129 (62.6%) responded. Predicted and observed values of the HUI3 from the IRT-linking method were moderately correlated (Pearson r = 0.76) with good concordance (ICC = 0.72). However, the Bland–Altman plots suggested biased prediction. Predicted and observed values from the equipercentile linking method were also moderately correlated (Pearson r = 0.78, ICC = 0.78). The Bland–Altman plots suggested no bias. CONCLUSION: We developed a crosswalk between the RAND-12 and the HUI3 in the MS population which will facilitate data harmonization efforts.
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spelling pubmed-74128752020-08-19 Developing a crosswalk between the RAND-12 and the health utilities index for multiple sclerosis Marrie, Ruth Ann Dufault, Brenden Tyry, Tuula Cutter, Gary R Fox, Robert J Salter, Amber Mult Scler Original Research Papers BACKGROUND: Researchers studying health-related quality of life (HRQOL) in multiple sclerosis (MS) can choose from many instruments, but findings from studies which use different instruments cannot be easily combined. We aimed to develop a crosswalk that associates scores from the RAND-12 to scores on the Health Utilities Index—Mark III (HUI3) in persons with MS. METHODS: In 2018, participants in the North American Research Committee on Multiple Sclerosis (NARCOMS) registry completed the RAND-12 and the HUI3 to assess HRQOL. We used item-response theory (IRT) and equipercentile linking approaches to develop a crosswalk between instruments. We compared predicted scores for the HUI3 from each crosswalk to observed scores using Pearson correlations, intraclass correlation coefficients (ICCs), and Bland–Altman plots. RESULTS: Of 11,389 invited participants, 7129 (62.6%) responded. Predicted and observed values of the HUI3 from the IRT-linking method were moderately correlated (Pearson r = 0.76) with good concordance (ICC = 0.72). However, the Bland–Altman plots suggested biased prediction. Predicted and observed values from the equipercentile linking method were also moderately correlated (Pearson r = 0.78, ICC = 0.78). The Bland–Altman plots suggested no bias. CONCLUSION: We developed a crosswalk between the RAND-12 and the HUI3 in the MS population which will facilitate data harmonization efforts. SAGE Publications 2019-06-04 2020-08 /pmc/articles/PMC7412875/ /pubmed/31161917 http://dx.doi.org/10.1177/1352458519852722 Text en © The Author(s), 2019 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Papers
Marrie, Ruth Ann
Dufault, Brenden
Tyry, Tuula
Cutter, Gary R
Fox, Robert J
Salter, Amber
Developing a crosswalk between the RAND-12 and the health utilities index for multiple sclerosis
title Developing a crosswalk between the RAND-12 and the health utilities index for multiple sclerosis
title_full Developing a crosswalk between the RAND-12 and the health utilities index for multiple sclerosis
title_fullStr Developing a crosswalk between the RAND-12 and the health utilities index for multiple sclerosis
title_full_unstemmed Developing a crosswalk between the RAND-12 and the health utilities index for multiple sclerosis
title_short Developing a crosswalk between the RAND-12 and the health utilities index for multiple sclerosis
title_sort developing a crosswalk between the rand-12 and the health utilities index for multiple sclerosis
topic Original Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412875/
https://www.ncbi.nlm.nih.gov/pubmed/31161917
http://dx.doi.org/10.1177/1352458519852722
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