Occupational Performance of Children and Adolescents with Mucopolysaccharidosis Using Assistive Technologies
Bibliographic record
Abstract
Mucopolysaccharidoses (MPS) are a specific group of genetic diseases in which due to the accumulation of glycosaminoglycans (GAGs) in different organs and tissues, causes multisystemic changes that compromise the functionality and occupational performance of individuals.Occupational performance, understood as the participation and execution of activities of daily living, may be favoured using Assistive Technology (AT).Since there are no studies reporting the influence of AT on the occupational performance of children and adolescents with MPS, the objective of this study was to evaluate the occupational performance in self-care activities, based on the use of low-cost AT in children and adolescents with Mucopolysaccharidosis.Six individuals with MPS types I, IV-A and VI, aged 9 to 16 years participated.The instruments used for data collection were the Pediatric Disability Assessment Inventory (PEDI) -self-care area only, and the Canadian Occupational Performance Measure (COPM).The results showed that the tasks that presented the greatest disabilities in the performance are the areas of dressing, personal hygiene and bath.Thus, TA resources were made for five activities related to dressing and one for personal hygiene.After the use of AT, there was a positive and significant change in occupational performance and satisfaction of these individuals.Thus, the use of AT can significantly improve the occupational performance of this population.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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".