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Related Experiment Video

Updated: May 17, 2026

Behavioral Assessment of Manual Dexterity in Non-Human Primates
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Can the ABILHAND handle manual ability in MS?

L E Barrett1, S J Cano, J P Zajicek

  • 1Clinical Neurology Research Group, Plymouth University Peninsula Schools of Medicine and Dentistry, Devon, UK.

Multiple Sclerosis (Houndmills, Basingstoke, England)
|October 26, 2012
PubMed
Summary

The ABILHAND scale is a reliable and valid patient-reported outcome measure for assessing manual ability in multiple sclerosis (MS). Psychometric evaluations confirm its suitability for clinical trials in MS patients.

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Area of Science:

  • Neurology
  • Rehabilitation Medicine
  • Psychometrics

Background:

  • Hand dysfunction is a prevalent issue in multiple sclerosis (MS).
  • Patient-reported outcome (PRO) instruments are increasingly vital for clinical trials.
  • Existing manual ability measures require further examination in MS populations.

Purpose of the Study:

  • To evaluate the psychometric properties of the 23-item ABILHAND scale in individuals with MS.
  • To compare findings from traditional psychometric methods and Rasch measurement methods.
  • To determine the suitability of ABILHAND as a PRO for MS.

Main Methods:

  • Analysis of ABILHAND data from 300 people with MS.
  • Application of traditional psychometric techniques (validity, reliability, data completeness).
Keywords:
Multiple sclerosisRasch measurement theorymanual abilitypsychometric methodsrating scales

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  • Utilisation of Rasch measurement methods (item fit, person validity, reliability).

    • Main Results:

    • Both traditional and Rasch methods indicated ABILHAND is reliable and valid for MS.
    • The three-category scoring function performed as expected.
    • Item fit to the Rasch model was acceptable, with a wide range of item locations (-3.16 to +2.73 logits).
    • High reliability was observed (Person Separation Index = 0.95).

    Conclusions:

    • The ABILHAND scale is a robust PRO measure for manual ability in MS.
    • Rasch measurement methods provided deeper insights and suggested improvements for ABILHAND.
    • These advancements can minimize type II errors in MS clinical trials.