Literature DB >> 19498013

Minimal detectable change scores for the Wolf Motor Function Test.

Stacy L Fritz1, Sarah Blanton, Gitendra Uswatte, Edward Taub, Steven L Wolf.   

Abstract

BACKGROUND: The Wolf Motor Function Test (WMFT) is an impairment-based test whose psychometrics have been examined by previous reliability and validity studies. Standards for evaluating whether a given change is meaningful, however, have not yet been addressed.
OBJECTIVES: To determine the standard error of measurement (SEM) and minimal detectable change (MDC) for the WMFT.
METHODS: Data were collected from 6 university laboratories that participated in the EXCITE national clinical trial and included 96 individuals with sub-acute stroke (3-9 months). Measurements were made by blinded evaluators who were trained and standardized to administer the WMFT, which was completed on 2 occasions 2 weeks apart. No intervention was given between testing sessions.
RESULTS: The WMFT Performance Time score has a SEM of 0.2 seconds and a MDC95 of 0.7 seconds. The individual task timed items MDC95 ranged from 1.0 second (turn key in lock) to 3.4 seconds (reach and retrieve) with individual task items demonstrating notably higher variability than the average WMFT Performance Time. The average WMFT Functional Ability Scale SEM and MDC95 is 0.1 points.
CONCLUSIONS: When assessing the effect of a therapeutic intervention, if an individual experiences an amount of change equal to or greater than the MDC, then one may be 95% confident that this margin of change is truly larger than measurement error and not a chance result. Thus, the determination of SEM and MDC in outcome assessments allows researchers and clinicians to distinguish which results are actual differences versus which results are simply changes resulting from error or chance.

Entities:  

Mesh:

Year:  2009        PMID: 19498013     DOI: 10.1177/1545968309335975

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  32 in total

1.  Minimal detectable change of the actual amount of use test and the motor activity log: the EXCITE Trial.

Authors:  Shuya Chen; Steven L Wolf; Qin Zhang; Paul A Thompson; Carolee J Winstein
Journal:  Neurorehabil Neural Repair       Date:  2012-01-24       Impact factor: 3.919

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Review 4.  Functional recovery following stroke: capturing changes in upper-extremity function.

Authors:  Lisa A Simpson; Janice J Eng
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Review 5.  The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors.

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6.  TheraBracelet Stimulation During Task-Practice Therapy to Improve Upper Extremity Function After Stroke: A Pilot Randomized Controlled Study.

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7.  The pediatric motor activity log-revised: assessing real-world arm use in children with cerebral palsy.

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8.  Gross motor ability predicts response to upper extremity rehabilitation in chronic stroke.

Authors:  Sarah Hulbert George; Mohammad Hossein Rafiei; Alexandra Borstad; Hojjat Adeli; Lynne V Gauthier
Journal:  Behav Brain Res       Date:  2017-07-06       Impact factor: 3.332

9.  Bilateral and unilateral arm training improve motor function through differing neuroplastic mechanisms: a single-blinded randomized controlled trial.

Authors:  Jill Whitall; Sandy McCombe Waller; John D Sorkin; Larry W Forrester; Richard F Macko; Daniel F Hanley; Andrew P Goldberg; Andreas Luft
Journal:  Neurorehabil Neural Repair       Date:  2010-10-07       Impact factor: 3.919

10.  Back pain attitudes questionnaire: Cross-cultural adaptation to brazilian-portuguese and measurement properties.

Authors:  Roberto Costa Krug; J P Caneiro; Daniel Cury Ribeiro; Ben Darlow; Marcelo Faria Silva; Jefferson Fagundes Loss
Journal:  Braz J Phys Ther       Date:  2020-07-14       Impact factor: 3.377

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