Pressure-related injuries in individuals with SCI and persons who use wheelchairs are one of the most dangerous secondary health problems encountered throughout the lifespan. With recurrence rates as high as 79% and mortality rates as high as 48% when sepsis is present, there exists a critical clinical need to target prevention of pressure injuries. This study will examine the effects of two novel seat mapping technologies ("AW-Shift" and "Sensoria") on increasing in-seat movement in persons who may be at risk for pressure injuries due to altered sensation on their sitting surface. AW-Shift provides a visual display about pressure distribution directly between the body and the seat cushion to a wheelchair user outside of a clinical setting. Sensoria represents a novel technology to promote tissue health by providing users with information about their daily in-seat movement and providing weight shift reminders that are based on time since previous weight shift activities. Changes in the frequency of in-seat movement behaviors will be compared between baseline and each intervention period.
For almost 50 years, clinicians and researchers have been interested in devices to monitor pressure and weight shift frequency, send alerts, provide cues, or track movement patterns in wheelchair users. Despite the prevention efforts implemented over the years, pressure injuries continue to occur at a high rate of incidence. Without sensation to guide the need for changes in position to alleviate pressure, individuals with decreased sensation move significantly less than individuals with normal sensory systems. Thus, movement is a potentially robust protective factor to target. When focusing on movement as a modifiable risk factor, there is evidence that more in-seat movement is protective in wheelchair users. Behaviors, such as weight shifting to relieve pressure, decay over time, which could be attributed to lack of sensation to provide a natural cue to move. More work is needed to understand the types of movement that are most beneficial, and how to empower wheelchair users to move more often. Our hypotheses are that A) Individuals will complete more frequent and more consistent weight shifts with access to the feedback systems compared to baseline and B) Self-efficacy beliefs for completing weight shifts will increase with use of the feedback systems. This study will examine the effects of two novel seat mapping technologies ("AW-Shift" and "WiSAT") on increasing in-seat movement in persons who may be at risk for pressure injuries due to altered sensation on their sitting surface. AW-Shift provides a rich visual display about pressure distribution directly between the body and the seat cushion to a wheelchair user outside of a clinical setting. WiSAT represents a novel technology to promote tissue health by providing users with information about their daily in-seat movement and providing weight shift reminders that are based on time since previous weight shift activities. Changes in the frequency of in-seat movement behaviors will be compared between baseline and each intervention period. The successful completion of this project will make large advancements in optimizing feedback about pressure and movement that will help wheelchair users become more effective in managing pressure distribution on an ongoing, daily basis.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Enrollment
46
The Sensoria system uses a force-sensing mat installed under the wheelchair cushion that connects via Bluetooth to a mobile app. The mobile app displays information about weight shifts, goal-setting functions, and feedback on performance/outcomes.
The AW-Shift system uses a pressure-sensing mat installed on top of the wheelchair cushion that connects via Bluetooth to a mobile app. The mobile app displays visual representation of the seating surface and can set reminders for weight shifts.
Georgia Institute of Technology
Atlanta, Georgia, United States
University of Minnesota
Minneapolis, Minnesota, United States
Mayo Clinic
Rochester, Minnesota, United States
University of Texas Medical Branch
Galveston, Texas, United States
Normalized Weight Shift Frequency (Weight Shifts/Hour)
The normalized average weight shift frequency per hour of wheelchair occupancy for each intervention phase. For each day of the intervention phases, a total number of weight shifts are measured per day in each phase. The total number of weight shifts are normalized by dividing by the number of hours of wheelchair occupancy for each day. Then finally, for each phase, the normalized average weight shift frequency is calculated by averaging across the daily normalized weight shift frequency for each phase.
Time frame: The outcome measure was assessed at week 4 (the end) of each intervention period.
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