Condition: Disability Physical · Wheelchair · Obesity; Overweight · Sponsor: Jonathan Pearlman
This project will complete the final design and development steps to commercialize the Fast In-Bed Tracking (FIT) Platform, which is an e-Health and wellness Internet of Things (IoT) monitoring system that can be integrated into a user's bed and provide person-centered, real-world outcomes to support health and wellness. The technical feasibility of FIT was proven over the past several years and has demonstrated the platform can support the treatment of several chronic conditions across different populations, including obesity, congestive heart failure, and pressure injuries. The project goals will be to (1) complete design refinements for FIT and (2) demonstrate the platform's efficacy to support weight loss goals of wheelchair users. Wheelchair users are twice as likely as the general population to be overweight or obese and excess weight not only exacerbates mobility and participation limitations but increases risk for secondary health problems. Evidence reveals that frequent weight monitoring is a key driver for weight management, which puts wheelchair users at a significant disadvantage, because they have no convenient way to measure their body weight. As a recent example, lack of participant's ability to self-weigh was a noted limitation to a weight loss program for wheelchair users, known as the Group Lifestyle Balance weight loss program Adapted for Individuals with Impaired Mobility (GLB-AIM). FIT solves this challenge by passively monitoring a user's weight when the…
This description comes directly from the study's public registry record.
Daniel Rusnak, MS · 412-624-8575 · dar27@pitt.edu
Jonathan Pearlman, PhD · 412-383-3955 · jpearlman@pitt.edu
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Source record: clinicaltrials.gov/study/NCT07141342