The Effect of Occupation-Based Modified Constraint-Induced Movement Therapy on the Participation of Children with Cerebral Palsy: A Single-Blind Randomized Controlled Trial.
Bibliographic record
Abstract
Objective: This study investigates the impact of modified constraint-induced movement therapy (m-CIMT), accompanied by occupation-based and activity analysis, on the participation of children with hemiplegia. Materials & Methods: Twenty-three participants were randomly assigned to the intervention and control groups. The intervention group received occupation-based m-CIMT (m-CIMT along with occupation-based and activity analysis), while the control group received m-CIMT without occupation-based and activity analysis. The intervention was conducted one hour per day, three days a week, for four weeks. Results: The primary outcomes revealed no significant differences between groups in promoting the participation of children with hemiplegia in the activities of daily living (ADL). However, scores were higher in the intervention group with a medium to large effect size (Canadian occupational performance measure: F(1,19)=2.14, P=0.160, η2P=0.101, Canadian occupational performance measure-satisfaction: F(1,19)=1.53, P=0.231, η2P=0.075, Goal attainment scaling: F(1,19)=5.55, P=0.029, η2P=0.226). This effect remained during the follow-up period. The secondary outcomes indicated no significant differences between groups in improving the manual ability of the children. However, scores were higher in the intervention group with a medium to large effect size (ABILHAND-Kids: F(1,19)=0.64, P=0.434, η2P=0.033, pediatric motor activity log- how long: F(1,19)=3.53, P=0.076, η2P=0.157, pediatric motor activity log- how well: F(1,19)=2.59, P=0.124, η2P=0.120). This effect was sustainable during the follow-up period. Conclusion: m-CIMT accompanied by occupation-based and activity analysis and the client-centered paradigm substantially enhances the manual ability of children with hemiplegia and their participation in the ADL.
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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 | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".