Wheelchair User’s Satisfaction and its Impact on Physical Activity and Quality of Life in People with Spinal Cord Injury
Bibliographic record
Abstract
Abstract Background Spinal cord injury (SCI) survivors rely greatly on assistive devices, spending around 9–11 hours daily in a wheelchair. It can act both as a barrier and facilitator, positively impacting their mobility, community participation, quality of life (QOL) and functional independence provided the device is satisfactory. However, there is a paucity of information on the level of user satisfication and its impact on the mobility and well being. Keeping in view the present study was conducted to determine the level of wheelchair user’s satisfaction and its impact on physical activity and QOL in SCI. Methods A cross sectional study with a sample of 130 was conducted at Paraplegic Center, Peshawar using “Quebec User Evaluation of Satisfaction with assistive Technology (QUEST)” for wheelchair user’s satisfaction, “Physical Activity Scale for Individuals with Physical Disabilities (PASIPD) for physical activity and World Health Organization Quality of Life (WHOQOL-BREF) for QOL. Results Mean age of the study participants was 32.48±11.96 years. The majority of the participants were males, with most of them being manual wheelchair users. Nearly 80% were regular users. The calculated mean for the QUEST was 3.23±0.51 while 24.49±27.66 for the PASIPD. For the WHOQOL-BREF the calculated median (IQR) in the environmental 56.00 (19.00) and psychological 56.00 (12.00) domain was highest followed by physical domain 50.00(19.00). No significant correlation between participant’s satisfaction level (for wheelchair), and PASIPD (rs=0.054, p=0.541) was observed. On the other hand significant positive correlation was found between physical (rs=0.394, p<0.001), social (rs=0.303, p<0.001) and environmental domain (rs=0.425, p<0.001) except psychological domain (rs=0.156, p=0.076) of QOL. Conclusion The majority of the participants showed moderate levels of satisfication and the impact was observed on the physical, social and environmental domains of QOL. Appropriate wheelchairs enhancing the QOL therefore special measures should be taken to customize the device to the body structure and needs of the customers as anything that can improve their lives even to a minor extent can prove very helpful.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".