Classification of wheelchair pressure relief maneuvers using changes in center of pressure and weight on the seat

Participatory action design and engineering of a manual wheelchair virtual coach including in-home and community usage

BACKGROUND

Current clinical practice guidelines (CPG) recommend periodic pressure redistribution (PR) to alter sitting pressure and reduce the risk of developing pressure injuries (PI). Individuals who have strength and trunk stability are asked to perform PR such as wheelies, leaning laterally, and forward-leaning to minimize the duration of pressure acting on the same region of the body.

OBJECTIVE

Our long-term objective is to build upon previous research and development to create a more effective device for improving PR training and adherence to CPG among manual wheelchair users (MWU). Through this study, we employed a participatory action design and engineering (PADE) approach in developing the hardware and user interface to increase the likelihood of eventually yielding a device effective for both MWU and clinicians.

PARTICIPANTS

Focus Groups: Ten clinicians - 6 physical therapists, 3 occupational therapists, and one registered nurse, and 10 MWU with spinal cord injuries (SCI) who reported using their wheelchairs 40-80 h per week. Five-Day Assessment: Five male MWU with SCI who had been wheelchair users for 18.5 ± 16.2 years. Four-Week Investigation: The 7 participants with SCI were 5 males and 2 females, who had been wheelchair users for 24.7 ± 17.0 years.

METHODS

A PADE approach was used to improve upon a manual wheelchair virtual coaching system for people with SCI. The system comprises a seat support instrumented with force sensors, software algorithms to detect PR, and a smart phone app for user interface. The methods included three stages: multiple focus groups, a five-day evaluation phase with participants using their own wheelchairs in their homes and communities, and a 4-week assessment with improvements made based on the 5-day results by users with their own wheelchairs in their homes and communities.

RESULTS

The focus groups yielded guidance for ergonomics, user interface, charging frequency, and key dimensions and mass. The 5-day study identified mechanical, electrical, and connectivity challenges, which were resolved before the 4-week study. The 4-week trial suggested that participants performed PR less frequently than clinically recommended and provided an indication of the types of maneuvers that they performed.

CONCLUSION

A prototype manual wheelchair virtual coaching system was developed using a PADE process. The system was able to detect and record PR in home and community environments. Following improvements identified in this study, a future version will be tested with additional users to determine whether it can improve adherence to PR guidance.

The usability of two mobile health assistive technologies for wheelchair-related in-seat movement and pressure

Introduction

This study aimed to understand the degree to which two different mobile health assistive technologies, AW-Shift© and Sensoria® Mat, addressed seven constructs for managing wheelchair-related in-seat movement and pressure.

Methods

After using each intervention system, participants answered questions regarding the general usability and usefulness of the systems.

Results

System Usability Survey scores ranged from 5 (Poor) to 97.5 (Excellent), with a median response of 60.0 (Okay) for AW-Shift© and 76.3 (Good) for Sensoria® Mat. Participants reported using AW-Shift© to check areas of high pressure on their cushion, the quality of their weight shifts, and their posture significantly more often than to check the condition of their cushion or to track their movement goals. Participants reported using Sensoria® Mat to check the quality and number of weight shifts, and their posture significantly more often than to check the condition of their cushion.

Conclusions

The findings of this study highlight that there is no one-size-fits-all solution and that different subpopulations of wheelchair users may have different needs and preferences. Optimizing the design for specific cohorts or constructs can result in an effective product that consistently provides meaningful and accurate information about behavior and performance.