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 they get on and off their bed. The investigators lab and community-based feasibility trials demonstrated that FIT successfully tracks weight for individuals and couples sharing a bed and that users find FIT highly usable. This proposed project will allow the investigators to complete the design refinements participants recommended during our community-based feasibility trial and subsequently examine the efficacy of FIT in supporting the weight-loss goals of community-dwelling wheelchair users through a randomized controlled trial using the GLB-AIM.
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 they get on and off their bed. The investigators lab and community-based feasibility trials demonstrated that FIT successfully tracks weight for individuals and couples sharing a bed and that users find FIT highly usable. This proposed project will allow the investigators to complete the design refinements participants recommended during our community-based feasibility trial and subsequently examine the efficacy of FIT in supporting the weight-loss goals of community-dwelling wheelchair users through a randomized controlled trial using the GLB-AIM.
Fast In-Bed Tracking (FIT) System Lifestyle Intervention is a Clinical Trial of a Bed Scale Device. Overweight Wheelchair Users Will Participate in a Weight Loss Program, Half Will Receive Bed Scales, and Participants Who Receive the Bed Scales Are Expected to Have Increased Weight Loss.
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University of Pittsburgh, Bakery Square, Department of Rehabilitation Science and Technology, Pittsburgh, Pennsylvania, United States, 15206
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
For general information about clinical research, read Learn About Studies.
18 Years to
ALL
No
Jonathan Pearlman,
Jonathan Pearlman, PhD, PRINCIPAL_INVESTIGATOR, University of Pittsburgh
Katherine Froehlich-Grobe, PhD, STUDY_DIRECTOR, Craig Hospital
2027-09