Efficacy of three therapy approaches in preschool children with cerebral palsy: a randomized controlled trial
Bibliographic record
Abstract
AIM: To examine the efficacy of child-focused, context-focused, and regular care approaches, delivered in a rehabilitation setting by physical or occupational therapists to preschool children with cerebral palsy (CP), in optimizing the child's self-care and mobility capabilities. METHOD: A multicentre randomized controlled trial clustered at therapist level was conducted in 13 rehabilitation centres. It included 68 children with CP (38 males, 30 females; mean age 3y, SD 6mo, range 1y 11mo-4y), classified as Gross Motor Function Classification System levels I to IV, who were already receiving therapy. Children received a child-focused, context-focused, or regular care approach during a 6-month period. Self-care and mobility capabilities were assessed with the Functional Skills Scale of the Pediatric Evaluation of Disability Inventory. RESULTS: The child-focused, context-focused, and regular care approaches all resulted in significant but similar improvements in self-care (regular: reference; child-focused: β=-0.11, 95% confidence interval [CI] -0.68 to 0.46; context-focused: β=0.13, CI -0.38 to 0.64) and mobility (regular: reference; child-focused: β=-0.09, CI=-0.93 to 0.75; and context-focused: β=0.14, CI -0.65 to 0.94) capabilities. INTERPRETATION: The results suggest that the three therapy approaches were equally efficacious for preschool children with CP. Depending on a child's individual situation each approach can be selected.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".