Upper Limb Function of Children with Unilateral Cerebral Palsy After a Magic-Themed HABIT: A Pre-Post-Study with 3- and 6-Month Follow-Up
Bibliographic record
Abstract
Aims: To examine changes in upper limb function, and performance in everyday tasks, for children with unilateral cerebral palsy who participated in a magic-themed hand-arm bimanual intensive therapy (HABIT). Methods: Twenty-eight children participated; mean age 10 y 6 mo (SD 2 y 2 mo), n = 15 male and n = 13 female. Using a single group, pre-and post-test design, the magic-themed HABIT was delivered for 60 hours over 10 days. Bimanual and unimanual hand function were measured using the Assisting Hand Assessment (AHA) and Box and Blocks Test (BBT). Occupational performance was rated using the Canadian Occupational Performance Measure (COPM). Two parent questionnaires explored change in bimanual hand use in everyday activities; ABILHAND-Kids and Children’s Hand-use Experience Questionnaire (CHEQ). Assessments were completed pre-, immediately post, 3 months and 6 months after the intervention. Results: Friedman’s ANOVA revealed a significant improvement for COPM and CHEQ grasp subscale. Repeated measures ANOVA revealed a significant improvement in BBT, and ABILHAND-Kids, and no significant change for AHA. Conclusions: Children who participated in the magic-themed HABIT experienced improved occupational performance, unimanual skills, and parent ratings of performance in challenging everyday tasks.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".