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

Author:

Marrie Ruth Ann1ORCID,Dufault Brenden2,Tyry Tuula3,Cutter Gary R4,Fox Robert J5,Salter Amber6

Affiliation:

1. Departments of Internal Medicine and Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada

2. Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada

3. Dignity Health, St. Joseph’s Hospital and Medical Center, Phoenix, AZ, United States

4. Department of Biostatistics, The University of Alabama at Birmingham, Birmingham, AL, USA

5. Mellen Center for Multiple Sclerosis, Neurological Institute, Cleveland Clinic, Cleveland, OH, USA

6. Department of Biostatistics, Washington University in St. Louis, St. Louis, MO, USA

Abstract

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.

Funder

Consortium of Multiple Sclerosis Centers

Publisher

SAGE Publications

Subject

Neurology (clinical),Neurology

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