Evidence map›Paper›PMID 27342237›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2016

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

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

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Matthew M EngelhardDepartment of Systems and Information Engineering, University of Virginia, P.O. Box 400747, Charlottesville, VA, 22904, USA. mme@virginia.edu.
Karen M SchmidtDepartment of Psychology, University of Virginia, P.O. Box 400400, Charlottesville, VA, 22904, USA.
Casey E EngelCollege of Arts and Sciences, University of Virginia, P.O. Box 400133, Charlottesville, VA, 22904, USA.
J Nicholas BrentonDepartment of Neurology, University of Virginia, P.O. Box 800394, Charlottesville, VA, 22908, USA.
Stephen D PatekDepartment of Systems and Information Engineering, University of Virginia, P.O. Box 400747, Charlottesville, VA, 22904, USA.
Myla D GoldmanDepartment of Neurology, University of Virginia, P.O. Box 800394, Charlottesville, VA, 22908, USA.

Funding

Validation of a Motor Fatigue Measure in Multiple SclerosisK23NS062898 · NINDS · UNIVERSITY OF VIRGINIA · PI GOLDMAN, MYLA DENISE · 2009 to 2013
$878k
NINDS NIH HHS K23 NS062898
6 · The paper itself

Abstract

backgroundThe 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.

methodsMSWS-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).

resultsModel 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

conclusionsMSWS-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 .

Indexed as

Disability EvaluationSickness Impact ProfileAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedMultiple SclerosisWalking12-Item multiple sclerosis walking scaleDifferential item functioningGraded response modelItem response theoryMultiple sclerosisTimed 25-foot walk

Identifiers

PMID27342237

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.