Clinimetric properties of participation measures for 5‐ to 13‐year‐old children with cerebral palsy: a systematic review
Bibliographic record
Abstract
This study systematically reviewed the validity, reliability, sensitivity to change, and clinical utility of measurements of participation for children with cerebral palsy. Sixteen measures were identified and seven met the inclusion criteria of having 30% content measuring participation, for use with children aged 5 to 13 years with physical disability, and were condition specific. The Children's Assessment of Participation and Enjoyment (CAPE) assessed participation in leisure and recreation, while the School Function Assessment (SFA) and School Outcome Measure addressed participation in the school environment. The Assessment of Life Habits for Children (LIFE-H) measured participation in home, school, and community life, and the Children Helping Out: Responsibilities and Expectations assessed children's participation in household duties. The Canadian Occupational Performance Measure (COPM) and Goal Attainment Scaling (GAS) were individualized tools used to evaluate goal achievement. Results showed most instruments had adequate reliability and validity. The COPM and GAS were the only measures that reported adequate responsiveness to detect clinically significant change. Limited data are currently available to determine the responsiveness of the CAPE, LIFE-H, and SFA. A combination of assessments is required to capture participation of children in home, school, and community environments.
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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 | 0.013 | 0.065 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.005 |
| Bibliometrics | 0.015 | 0.013 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".