Innovative Low-cost Solutions Based on Virtual Reality for Upper Limb Home-based Rehabilitation in Multiple Sclerosis

Status unknownNot a drug-phase studyRelapsing and progressiveNCT04027491

What it found

No results found

We found no results in the registry or in papers.

What was tested

Treatment tested

  • Virtual Reality

What it measured

Main measures

  • Change in box and block score

    Baseline (T0), immediately after the end of the treatment (+4 weeks, T1), +8 weeks from the baseline (T2)

    Arm and hand function

Other measures (1)

  • Change in Nine-Hole Peg score

    Baseline (T0), immediately after the end of the treatment (+4 weeks, T1), +8 weeks from the baseline (T2)

    Arm and hand function

Who could take part

Relapsing and progressive · 18 and over

Show the full criteria

Inclusion criteria

* Age > 18 * Definite MS diagnosis, sub-type Relapsing-Remitting or Secondary Progressive * Clinically stable * No relapses at the time of the enrolment in the study * Able to understand the informed consent process and provide consent to participate in the study * 9-Hole Peg Test score > 30 seconds

Exclusion criteria

* Relapses occurring over the past 3 months * History of seizures * Severe blurred vision * Concomitant auditory and vestibular deficits * Presence of other neurological, orthopaedic (non-MS related), psychiatric or cognitive impairments that would interfere with the execution of the study

As registered. Criteria can change, so ask the trial team or your neurologist.

About this trial

In the sponsor's words

This study is aimed to test the efficacy and feasibility of an immersive virtual reality (VR) rehabilitation programs to improve upper-limb motor functions in 24 patients with multiple sclerosis (pwMS), characterized by moderate to severe upper-limb motor dysfunctions. In particular, this study will evaluate the efficacy of VR as novel opportunities to increase treatment engagement and rehabilitation effects. The effectiveness of the rehabilitation program will be assessed using both clinical tests and state-of-the art motion capture system for human movement analysis.

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History

    1. Started

      Apr 2019

    2. Main results due

      Jun 2021

    3. Finished

      Jun 2022

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