Home-based virtual reality balance training and conventional balance training in Parkinson's disease: A randomized controlled trial

J Formos Med Assoc. 2016 Sep;115(9):734-43. doi: 10.1016/j.jfma.2015.07.012. Epub 2015 Aug 13.

Abstract

Background/purpose: Virtual reality has the advantage to provide rich sensory feedbacks for training balance function. This study tested if the home-based virtual reality balance training is more effective than the conventional home balance training in improving balance, walking, and quality of life in patients with Parkinson's disease (PD).

Methods: Twenty-three patients with idiopathic PD were recruited and underwent twelve 50-minute training sessions during the 6-week training period. The experimental group (n = 11) was trained with a custom-made virtual reality balance training system, and the control group (n = 12) was trained by a licensed physical therapist. Outcomes were measured at Week 0 (pretest), Week 6 (posttest), and Week 8 (follow-up). The primary outcome was the Berg Balance Scale. The secondary outcomes included the Dynamic Gait Index, timed Up-and-Go test, Parkinson's Disease Questionnaire, and the motor score of the Unified Parkinson's Disease Rating Scale.

Results: The experimental and control groups were comparable at pretest. After training, both groups performed better in the Berg Balance Scale, Dynamic Gait Index, timed Up-and-Go test, and Parkinson's Disease Questionnaire at posttest and follow-up than at pretest. However, no significant differences were found between these two groups at posttest and follow-up.

Conclusion: This study did not find any difference between the effects of the home-based virtual reality balance training and conventional home balance training. The two training options were equally effective in improving balance, walking, and quality of life among community-dwelling patients with PD.

Keywords: Parkinson's disease; balance training; virtual reality.

Publication types

  • Clinical Trial, Phase I
  • Randomized Controlled Trial

MeSH terms

  • Aged
  • Aged, 80 and over
  • Exercise Therapy / methods*
  • Female
  • Humans
  • Linear Models
  • Male
  • Middle Aged
  • Parkinson Disease / rehabilitation*
  • Physical Therapists
  • Postural Balance*
  • Quality of Life*
  • Self Care
  • Severity of Illness Index
  • Surveys and Questionnaires
  • Taiwan
  • Virtual Reality Exposure Therapy*