Improving Walking With Heel-To-Toe Device

Overview

Introduction: The purpose of this study is to test the efficacy potential of using real-time positive auditory feedback to improve gait pattern in people with Parkinson's Disease (PD). The components of walking are commonly affected in patients with PD. Gait training for PD is usually based on verbal cues from the therapist that are only moderately effective. Based on good principals of gait and neuroplasticity, the Heel-To-Toe (Heel2Toe) sensor was developed to provide real-time auditory feedback during walking training. Methods: A two-group, randomized feasibility trial is planned with repeated measures of gait parameters and walking outcomes. Participants will be assessed at baseline, 3 and 6 months. Outcomes after the 5 training days will be obtained directly from the Hee2Toe device for both groups (with and without auditory feedback). The primary outcome is walking capacity measured by the Six-Minute Walk Test and the Standardized Walking Obstacle Course. Gait parameters will be captured by the Heel2Toe device Expected Contributions: Gait training using the Heel2Toe sensor will be potentially effective for improving walking pattern in people with PD.

As this is a feasibility study, the main analysis will focus on within-group change over the intervention period of 3 months using indices of reliable change(36). This method assesses the number of people who changed in each of the groups based on the magnitude of change relative to pre-post variability and correlation. We will estimate the proportion of people with reliable change. Estimates from the pilot study will be used to plan the main trial if the pilot demonstrates feasibility. For the maintenance period, reliable change from baseline will also be estimated and used to identify the proportion of people who maintained reliable change or who gained/lost this status. The study is designed to detect a minimal important within-group change of moderate magnitude or greater (effect size ½ standard deviation) with adequate precision. A sample size of 20 in the intervention with completed follow-up will provide a 95% confidence interval with precision that excludes an effect size of 0.03.