Wheelchair satisfaction: a study with mothers of children and adolescents with severe cerebral palsy
Bibliographic record
Abstract
This study aimed to evaluate the relationship between device and service satisfaction among mothers of children with cerebral palsy who use wheelchairs, as well as to examine the connections between satisfaction, wheelchair characteristics, confidence, and proficiency in wheelchair use. A descriptive cross-sectional study was conducted involving 30 mothers of children and adolescents with severe cerebral palsy that are not able to propel the wheelchair by themselves. Participants’ satisfaction and the skills for moving with a wheelchair were assessed with the Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST 2.0), the Wheelchair Skills Test Questionnaire. Statistical analysis, including correlation tests and Analysis of Variance (ANOVA-OneWay), was performed and supplemented by qualitative analysis for a more comprehensive understanding. The results showed that factors such as wheelchair dimensions, ease of adjustment, weight, comfort, and the quality of delivery and technical assistance services raised concerns and dissatisfaction among participants. Safety and comfort were identified as key factors for satisfaction, reported by 73.3% of participants, while 36.7% mentioned ease of use. A significant correlation between ability and confidence was established (p < 0.001), with a high magnitude (R = 0.94). The findings highlight the importance of including primary caregivers in wheelchair assessments to understand the determinants of satisfaction better and proposes Assistive Technology interventions that prioritize caregivers’ perspectives. This may improve prescription practices, thereby increasing user satisfaction and usability. Additionally, it highlights the potential of modular and collapsible support systems tailored to meet diverse physical needs. Understanding the characteristics of wheelchairs that influence satisfaction provides parameters for the implementation of more effective and meaningful interventions in the field of health, as well as for innovation in the design of these devices.This knowledge can support healthcare professionals in the process of prescribing adapted wheelchairs, including the need to carefully evaluate and prescribe postural adjustment devices that positively interfere with satisfaction and ability to handle the wheelchair.It is important to train family members/guardians to handle wheelchairs in community settings, which can improve their confidence and ability to use the device.Collaboration between healthcare professionals and designers can be essential for identifying user needs and innovating wheelchairs for children and adolescents with severe cerebral palsy. Understanding the characteristics of wheelchairs that influence satisfaction provides parameters for the implementation of more effective and meaningful interventions in the field of health, as well as for innovation in the design of these devices. This knowledge can support healthcare professionals in the process of prescribing adapted wheelchairs, including the need to carefully evaluate and prescribe postural adjustment devices that positively interfere with satisfaction and ability to handle the wheelchair. It is important to train family members/guardians to handle wheelchairs in community settings, which can improve their confidence and ability to use the device. Collaboration between healthcare professionals and designers can be essential for identifying user needs and innovating wheelchairs for children and adolescents with severe cerebral palsy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".