Background Clinically, neck pain disorders (NPD) and non-specific low back pain (NS-LBP) are respectively the fourth and first most common conditions associated with the greatest number of years lived with disability. Remote delivery of care may benefit healthcare sustainability, reduce environmental pollution, and free up space for those requiring care non-virtual care. Methods A retrospective analysis was performed on 82 participants with NS-LBP and/or NPD who received exercise therapy delivered solely in the metaverse using virtually reality. The study was to determine if this was achievable, safe, had appropriate outcome measures that could be collected, and if there was any early evidence of beneficial effects. Results The study demonstrated that virtual reality treatment delivered via the metaverse appears to be safe (no adverse events or side effects). Data for more than 40 outcome measures were collected. Disability from NS-LBP was significantly reduced (Modified Oswestry Low Back Pain Disability Index) by 17.8% (p < 0.001) and from NPD (Neck Disability Index) by 23.2% (p = 0.02). Conclusions The data suggest that this method of providing exercise therapy was feasible, and safe (no adverse events reported), that complete reports were obtained from a large selection of patients, and that software acquired outcomes were obtainable over a range of time points. Further prospective research is necessary to better understand our clinical findings.
Rationale: Falling and the inability to maintain balance are the second leading cause of unintentional injury deaths globally. There are a number of chronic and acute conditions characterized by balance difficulties, including neurological diseases, and sport injuries. Therefore, methods to monitor and quantify balance are critical for clinical decision-making regarding risk management and balance rehabilitation. New advances in virtual reality (VR) technology has identified VR as a novel therapeutic platform. VRSway is a VR application that uses sensors attached to a virtual reality headset, and handheld remote controllers for measurement and analysis of postural stability by measuring changes in spatial location relative to the center of mass and calculates various postural stability indexes. This case report evaluates balance measures in 2 healthy participants with no previous history of balance disorders using the VRSway software application and compares to output generated by the current gold standard of balance measurement, force platform technology. Case Presentation: The primary objective of this case study was to validate the VRSway stability score for evaluation of balance. Here, we present posturography measures of the VRSway in comparison with force plate readouts in 2 healthy participants. Body Sway measurements were recorded simultaneously in both the force plate and VRSway systems. Data calculated by proprietary software is highly correlative to the data generated by force plates for each of the following measurements for participant-1 and participant-2, respectively: Sway index (r 1 = 0.985, P < .001; r 2 = 0.970, P < .001), total displacement (r 1 = 0.982, P < .001; r 2 = 0.935, P < .001), center of pressure mean velocity (r 1 = 0.982, P < .001; r 2 = 0.935, P < .001), ellipse radius 1 (r 1 = 0.979, P < .001; r 2 = 0.965, P < .001), ellipse radius 2 (r 1 = 0.982, P < .001; r 2 = 0.969, P < .001), and ellipse area (r 1 = 0.983, P < .001; r 2 = 0.969, P < .001). Conclusions: Data from this case study suggest that VRSway measurements are highly correlated with output from force plate technology posing that VRSway is a novel approach to evaluate balance measures with VR. More research is required to understand possible uses of VR-based use for balance measurement in a larger and more diverse coh...
Background: Globally, the population of people over the age of 60 years is increasing, and the reproduction rate is declining. This will lead to a substantially higher burden for healthcare professionals caring for this patient population. Virtual reality (VR) has been increasingly used in this population group across myriad health conditions. Methods: A retrospective analysis of health records was conducted for older people for a range of health conditions who were treated in the metaverse using VR. The main aims of our study were to determine if it was achievable, safe, that outcome measures could be collected remotely, and any early evidence of effectiveness. Results: The health records of 164 participants, whose mean age was 72.7 (SD = 6.6) years were identified. No adverse effects were reported, the treatment appeared to be well tolerated and appropriate outcomes could be collected. The 30 second sit to stand test significantly improved following treatment (p < 0.001), as did shoulder abduction range for the left (p = 0.03) and right (p = 0.02) upper limbs, and the Activities Specific Balance Confidence Scale (p = 0.05). No deterioration in any outcomes were reported during the time of treatment. Conclusion: These data suggest that this method of treatment was feasible and safe, and that a large selection of patient reported, and software acquired outcomes could be collected. Trial registration: This protocol received an exempt status with a waiver of consent from the Biomedical Research Alliance of New York (BRANY) IRB Protocol #22-12-618-947.
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