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Original article| Volume 96, ISSUE 3, P418-425.e2, March 2015

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Effectiveness, Usability, and Cost-Benefit of a Virtual Reality–Based Telerehabilitation Program for Balance Recovery After Stroke: A Randomized Controlled Trial

  • Roberto Lloréns
    Correspondence
    Corresponding author Roberto Lloréns, PhD, Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
    Affiliations
    Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano, Universitat Politècnica de València, Valencia, Spain

    Servicio de Neurorrehabilitación y Daño Cerebral de los Hospitales NISA, Fundación Hospitales NISA, Valencia, Spain
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  • Enrique Noé
    Affiliations
    Servicio de Neurorrehabilitación y Daño Cerebral de los Hospitales NISA, Fundación Hospitales NISA, Valencia, Spain
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  • Carolina Colomer
    Affiliations
    Servicio de Neurorrehabilitación y Daño Cerebral de los Hospitales NISA, Fundación Hospitales NISA, Valencia, Spain
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  • Mariano Alcañiz
    Affiliations
    Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano, Universitat Politècnica de València, Valencia, Spain

    Ciber, Fisiopatología Obesidad y Nutrición, CB06/03 Instituto de Salud Carlos III, Univesitat Jaume I, Castellón, Spain
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Published:November 13, 2014DOI:https://doi.org/10.1016/j.apmr.2014.10.019

      Highlights

      • Virtual reality–based training can be effectively combined with conventional programs.
      • Telerehabilitation and in-clinic interventions can promote similar motor improvement.
      • Usability and motivation of both interventions can be similar.
      • Telerehabilitation interventions can involve savings that vary depending on each scenario.

      Abstract

      Objectives

      First, to evaluate the clinical effectiveness of a virtual reality (VR)–based telerehabilitation program in the balance recovery of individuals with hemiparesis after stroke in comparison with an in-clinic program; second, to compare the subjective experiences; and third, to contrast the costs of both programs.

      Design

      Single-blind, randomized, controlled trial.

      Setting

      Neurorehabilitation unit.

      Participants

      Chronic outpatients with stroke (N=30) with residual hemiparesis.

      Interventions

      Twenty 45-minute training sessions with the telerehabilitation system, conducted 3 times a week, in the clinic or in the home.

      Main Outcome Measures

      First, Berg Balance Scale for balance assessment. The Performance-Oriented Mobility Assessment balance and gait subscales, and the Brunel Balance Assessment were secondary outcome measures. Clinical assessments were conducted at baseline, 8 weeks (posttreatment), and 12 weeks (follow-up). Second, the System Usability Scale and the Intrinsic Motivation Inventory for subjective experiences. Third, cost (in dollars).

      Results

      Significant improvement in both groups (in-clinic group [control] and a home-based telerehabilitation group) from the initial to the final assessment in the Berg Balance Scale ( η p 2 =.68; P=.001), in the balance ( η p 2 =.24; P=.006) and gait ( η p 2 =.57, P=.001) subscales of the Tinetti Performance-Oriented Mobility Assessment, and in the Brunel Balance Assessment (control: χ2=15.0; P=.002; experimental: χ2=21.9; P=.001). No significant differences were found between the groups in any balance scale or in the feedback questionnaires. With regard to subjective experiences, both groups considered the VR system similarly usable and motivating. The in-clinic intervention resulted in more expenses than did the telerehabilitation intervention ($654.72 per person).

      Conclusions

      First, VR-based telerehabilitation interventions can promote the reacquisition of locomotor skills associated with balance in the same way as do in-clinic interventions, both complemented with a conventional therapy program; second, the usability of and motivation to use the 2 interventions can be similar; and third, telerehabilitation interventions can involve savings that vary depending on each scenario.

      Keywords

      List of abbreviations:

      ANOVA (analysis of variance), BBA (Brunel Balance Assessment), BBS (Berg Balance Scale), IMI (Intrinsic Motivation Inventory), POMA-B (Performance-Oriented Mobility Assessment balance subscale), POMA-G (Performance-Oriented Mobility Assessment gait subscale), SUS (System Usability Scale), VR (virtual reality)
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