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Mult Scler. 2018 Nov 1:1352458518810159. doi: 10.1177/1352458518810159. [Epub ahead of print]

Assessment of computer adaptive testing version of the Neuro-QOL for people with multiple sclerosis.

Author information

1
Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Boston, MA, USA/ Department of Neurology, Harvard Medical School, Boston, MA, USA/ Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA.
2
Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Boston, MA, USA/ Department of Neurology, Harvard Medical School, Boston, MA, USA.
3
Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Boston, MA, USA.

Abstract

BACKGROUND::

To date, the computerized adaptive testing (CAT) version of the Neuro-quality of life (QOL) has not been assessed in a large sample of people with multiple sclerosis (MS).

OBJECTIVE::

The aim of this study was to assess the associations between the CAT version of Neuro-QOL and other clinical and patient-reported outcome measures.

METHODS::

Subjects ( n = 364) enrolled in SysteMS completed the CAT version of the Neuro-QOL and the 36-Item Short Form Survey (SF-36) within 4 weeks of a clinical exam that included the Multiple Sclerosis Functional Composite-4 (MSFC-4). The correlations between the Neuro-QOL domains and the MSFC-4 subscores and the SF-36 scores were calculated. The changes over time in the Neuro-QOL and other measures were also examined.

RESULTS::

The lower extremity functioning score of the Neuro-QOL showed the highest correlations with MSFC-4 components including Timed 25-Foot Walk, 9-Hole Peg Test, and cognitive score. The expected domains of the Neuro-QOL showed high correlations with the SF-36 subscores, and some Neuro-QOL domains were associated with many SF-36 subscores. There was limited longitudinal change on the Neuro-QOL domains over 12 months, and the change was not associated with change on other measures.

CONCLUSION::

The CAT version of the Neuro-QOL shows many of the expected associations with clinical and patient-reported outcome measures.

KEYWORDS:

Computer adaptive testing; measurement; patient-reported outcomes; quality of life

PMID:
30381985
DOI:
10.1177/1352458518810159

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