The Effect of Telerehabilitation Supported Occupational Therapy Intervention on Participation and Occupational Performance in Rare Diseases
Bibliographic record
Abstract
The aim of this case study was to investigate the effects of occupational therapy and telerehabilitation supported occupational therapy intervention on participation and occupational performance in individuals with rare diseases. The study included 6 cases aged between 8-11 years with Cri du Chat syndrome, Rett syndrome and Tuberous Sclerosis. The cases were divided into two groups as occupational therapy intervention group (n=3) and telerehabilitation supported occupational therapy intervention group (n=3). Occupational therapy intervention was applied to the control group, and occupational therapy intervention with 40-minute telerehabilitation sessions was applied to the telerehabilitation group for 3 months. Before and after the intervention, activity performances of the cases were measured with the Canadian Activity Performance Measure (COPM), functional independence was measured with the Children's Functional Independence Measure (WeeFIM), and functional abilities and performances were measured with the Pediatric Evaluation of Disability Inventory (PEDI) and were applied to their caregivers. The study found that occupational therapy intervention supported by telerehabilitation increased the participation and occupational performance of individuals in the areas of self-care and communication. In the study, in the telerehabilitation group, supporting occupational therapy intervention with telerehabilitation made the intervention more effective and efficient compared to the control group.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".