Mobility devices for children with physical disabilities: use, satisfaction and impact on participation
Bibliographic record
Abstract
Introduction Children with physical disabilities commonly use mobility devices. There is a lack of studies on the use and impact of mobility devices on activities and participation. Research is needed on satisfaction with the service delivery process of mobility devices.Purpose To examine the use and impact of mobility devices among children with physical disabilities and the satisfaction with the properties of their mobility devices and related services.Materials and methods A web-based survey was sent to parents of 6 − 18 years old children with physical disabilities who used mobility devices in Iceland. The use and effectiveness of mobility devices were assessed with a questionnaire designed for this study. The satisfaction was measured with Quebec user evaluation of satisfaction with assistive technology (QUEST) 2.0.Results The survey was sent to 55 families and 36 replied. Most of the children used mobility devices in social activities. The number of participants who reported positive effects of devices on activities and participation, depended on environmental settings. There was no significant difference in participants’ satisfaction between types of mobility devices. Also, there was no significant difference in participants’ satisfaction with the properties of the device and the related service (for wheeled walkers p = 0.47, manual wheelchairs p = 0.08, powered wheelchairs p = 1.00).Conclusions The results indicate the importance of mobility devices for activities and participation and can guide healthcare workers when providing mobility devices where environmental factors across settings must be kept in mind. Stakeholders should be aware of the value of satisfaction with the devices and related services.Implications for Rehabilitation:Children with physical disabilities use mobility devices across different environmental settings and need to have more than one type of equipment.This study confirms results from earlier research that mobility devices are important for the activities and participation of children with disabilities.It is important to understand how the delivery process of devices is perceived by those who receive them. High satisfaction is an indicator of high quality of service.Environmental factors across settings must be kept in mind in the delivery process of assistive devices.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".