Randomized controlled trial of web‐based multimodal therapy for unilateral cerebral palsy to improve occupational performance
Bibliographic record
Abstract
AIM: The study aimed to investigate the effectiveness of a web-based therapy programme, 'Move it to improve it' (Mitii(™)), in children with unilateral cerebral palsy (UCP) on occupational performance, upper limb function, and visual perception. METHOD: Participants (n=102) were matched in pairs and randomized to intervention (Mitii for 20wks; 26 males, mean age 11y 8mo [2y 4mo], Manual Ability Classification System level I=11, II=39, III=1) or control (standard care; 25 males, mean age 11y 10mo [2y 5mo], Manual Ability Classification System level I=13, II=37). Outcomes were the Assessment of Motor and Process Skills (AMPS), Assisting Hand Assessment, Jebsen-Taylor Test of Hand Function (JTTHF), Melbourne Assessment of Unilateral Upper Limb Function (MUUL), Canadian Occupational Performance Measure (COPM), and Test of Visual Perceptual Skills (TVPS-3). RESULTS: Participants completed on average 32.4 hours of Mitii (range 3.7-74.7h). The Mitii group demonstrated significantly greater post-intervention scores than the comparison group on the AMPS, JTTHF dominant upper limb, COPM, and TVPS-3. The differences between groups were not clinically significant. There were no differences between groups on measures of impaired upper limb function. INTERPRETATION: Mitii delivers individualized, web-based therapy at home and has potential to increase therapy dose. Mitii can be considered as an option to enhance occupational performance and visual perception for children with UCP.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".