The Effectiveness of Personalized Robot-Assisted Rehabilitation on Fall Risk: A Retrospective Controlled Study with a...

Area of Science:

• Rehabilitation Medicine
• Geriatric Medicine
• Neurology
• Orthopedics

Background:

• Falls are a major public health concern, leading to significant impairment in geriatric and adult populations.
• Technology-assisted rehabilitation shows promise for improving balance and reducing fall risk, but long-term data is limited.
• Early and tailored fall prevention strategies are crucial for diverse clinical populations.

Purpose of the Study:

• To evaluate the impact of personalized balance training using the hunova® robotic platform on fall risk.
• To assess long-term real-world evidence of technology-assisted rehabilitation for fall prevention.
• To analyze the effectiveness of robotic therapy in heterogeneous neurological and orthopedic patient cohorts.

Main Methods:

• A retrospective study involving 355 patients (mean age 58.24 ± 19.63 years) with neurological and orthopedic conditions.
• Fall risk was measured using the Silver Index, a sensor-based robotic posturographic score, at baseline (T0), 6 weeks (T1), and 6 months (T6).
• A treatment group (TREAT-G, n=162) received robotic rehabilitation, while a control group (NOTREAT-G, n=193) did not.

Main Results:

• The TREAT-G group showed a significant reduction in fall risk over time (p = 0.036), with notable improvements from T0-T1 (p < 0.001) and T0-T6 (p = 0.009).
• Significant improvements were observed in limits of stability, sit-to-stand, and gait speed (p < 0.001) within the TREAT-G group.
• Subgroup analysis indicated significant fall risk reduction in both 'Fallers' and 'No-Fallers' who received robotic treatment compared to untreated controls.

Conclusions:

• Tailored robot-assisted therapy with the hunova® platform significantly reduces fall risk and enhances long-term dynamic balance.
• Robotic assessment and therapy are effective tools for proactive fall prevention across diverse clinical settings.
• The study supports the clinical integration of robotic rehabilitation for managing fall risk in heterogeneous patient populations.