Initial evaluation of an environment-based intervention for participation of autistic children: a randomized controlled trial
Bibliographic record
Abstract
Purpose To evaluate the efficacy of environment-based intervention on participation outcomes and parent efficacy in autistic children.Materials and methods Twenty-one autistic children 6–10 years old and their parents were randomized to environment-based intervention (n = 11) or usual care (n = 10). The environment-based intervention targets individualized participation goals in leisure and community activities through changing environment and activity demands. The study outcomes were Canadian Occupational Performance Measure (COPM), Goal attainment scaling (GAS), and Parent Empowerment and Efficacy Measure (PEEM). Assessments included baseline, 12 weeks (post-test), and 24 weeks (follow-up). Mixed ANOVAs were used to examine within-group and between-group effects in outcome variables.Results The COPM performance and satisfaction scores and GAS T-scores increased after environment-based intervention from baseline to 12 weeks and 24 weeks (p < 0.001) but did not significantly differ from usual care. The medium to large effect sizes of COPM performance and GAS T-scores favored the environment-based intervention. For the PEEM scores, no significant differences were found.Conclusions Environment-based intervention may support school-age autistic children to participate in self-chosen activities over time. The intervention effects on participation goals and parent efficacy, however, were inconclusive and need further research.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 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 | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".