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

Published

Journal Article

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.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).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).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 .

Full Text

Duke Authors

Cited Authors

  • Engelhard, MM; Schmidt, KM; Engel, CE; Brenton, JN; Patek, SD; Goldman, MD

Published Date

  • December 2016

Published In

Volume / Issue

  • 25 / 12

Start / End Page

  • 3221 - 3230

PubMed ID

  • 27342237

Pubmed Central ID

  • 27342237

Electronic International Standard Serial Number (EISSN)

  • 1573-2649

International Standard Serial Number (ISSN)

  • 0962-9343

Digital Object Identifier (DOI)

  • 10.1007/s11136-016-1342-2

Language

  • eng