Development and validation of the first robotic scale for the clinical assessment of upper extremity motor impairments in stroke patients

  • Omer Einav
  • , Diklah Geva
  • , Doron Yoeli
  • , Marina Kerzhner
  • , Karl Heinz Mauritz

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Purpose: We aimed to develop and validate the first robotic-based instrument and procedure for assessing upper extremity motor impairments in patients with stroke and to test its discriminative power. Methods: The ReoGo robotic rehabilitation platform was used to design a novel, upper limb functionality assessment tool, the Reo Scale Assessment (RSA). We used the RSA to evaluate 100 patients with stroke. The RSA items were tested for internal consistency and submitted to factor analysis. The Fugl-Meyer (FM) motor test, the Wolf Motor Function Test (WMFT), and the Action Research Arm Test (ARAT) were used to examine the validity of the RSA. RSA scores were compared and correlated with the scores of the 3 scales. The discriminative power of the RSA was tested against the FM impairment levels by analysis of variance. Results: The total RSA score correlated closely with the upper extremity scores of the FM, WMFT, and ARAT (r = 0.95, 0.93, and 0.90, respectively). The RSA was able to discriminate between low, moderate, and high functioning patients (86% agreement with FM). Principal component analysis revealed that the RSA coefficients loaded on 3 tested components: proximal, distal, and force. Conclusions: Our results provide strong evidence that the validity of the RSA is comparable with that of the FM, WMFT, and ARAT. The objective measuring and scoring systems of the robotic RSA make it an efficient tool for assessing motor function of stroke patients in clinical and research settings. Additional studies are needed to test the reliability and sensitivity of the RSA.

Original languageEnglish
Pages (from-to)587-598
Number of pages12
JournalTopics in Stroke Rehabilitation
Volume18
Issue number1
DOIs
StatePublished - 1 Jan 2011
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • exercise training
  • patient outcome assessment rehabilitation
  • robotics
  • stroke
  • upper extremity

ASJC Scopus subject areas

  • Rehabilitation
  • Community and Home Care
  • Clinical Neurology

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