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Erschienen in: Quality of Life Research 12/2016

24.06.2016

The e-MSWS-12: improving the multiple sclerosis walking scale using item response theory

verfasst von: Matthew M. Engelhard, Karen M. Schmidt, Casey E. Engel, J. Nicholas Brenton, Stephen D. Patek, Myla D. Goldman

Erschienen in: Quality of Life Research | Ausgabe 12/2016

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Abstract

Background

The Multiple Sclerosis Walking Scale (MSWS-12) is the predominant patient-reported measure of multiple sclerosis (MS) -elated walking ability, yet it had not been analyzed using item response theory (IRT), the emerging standard for patient-reported outcome (PRO) validation. This study aims to reduce MSWS-12 measurement error and facilitate computerized adaptive testing by creating an IRT model of the MSWS-12 and distributing it online.

Methods

MSWS-12 responses from 284 subjects with MS were collected by mail and used to fit and compare several IRT models. Following model selection and assessment, subpopulations based on age and sex were tested for differential item functioning (DIF).

Results

Model comparison favored a one-dimensional graded response model (GRM). This model met fit criteria and explained 87 % of response variance. The performance of each MSWS-12 item was characterized using category response curves (CRCs) and item information. IRT-based MSWS-12 scores correlated with traditional MSWS-12 scores (r = 0.99) and timed 25-foot walk (T25FW) speed (r =  −0.70). Item 2 showed DIF based on age (χ 2 = 19.02, df = 5, p < 0.01), and Item 11 showed DIF based on sex (χ 2 = 13.76, df = 5, p = 0.02).

Conclusions

MSWS-12 measurement error depends on walking ability, but could be lowered by improving or replacing items with low information or DIF. The e-MSWS-12 includes IRT-based scoring, error checking, and an estimated T25FW derived from MSWS-12 responses. It is available at https://​ms-irt.​shinyapps.​io/​e-MSWS-12.
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Metadaten
Titel
The e-MSWS-12: improving the multiple sclerosis walking scale using item response theory
verfasst von
Matthew M. Engelhard
Karen M. Schmidt
Casey E. Engel
J. Nicholas Brenton
Stephen D. Patek
Myla D. Goldman
Publikationsdatum
24.06.2016
Verlag
Springer International Publishing
Erschienen in
Quality of Life Research / Ausgabe 12/2016
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-016-1342-2

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