An evaluation of the paediatric acquired brain injury community outreach programme (PABICOP)
Bibliographic record
Abstract
PRIMARY OBJECTIVE: To examine the utility of a coordinated, family/community-focused programme (PABICOP) vs. a standard approach for improving outcomes for children with ABI and their families. RESEARCH DESIGN: Pre-test-post-test design, with comparison group and follow-up. METHODS AND PROCEDURES: Ninety-six children (64 children receiving PABICOP services and 32 children receiving standard care) participated in the study. Measures were completed at baseline and 3 and 12 months later. MAIN OUTCOMES AND RESULTS: Parents/caregivers with more than 10 contacts with PABICOP scored significantly higher on an ABI knowledge quiz than either parents/caregivers with 10 contacts or less or the comparison group at post-test and follow-up. Parents/caregivers with 10 contacts or less with PABICOP reported significantly greater improvements in children's school and total competence on the CBCL than either parents/caregivers with more than 10 contacts or the comparison group at post-test and follow-up. CONCLUSIONS: PABICOP may be more useful for enhancing knowledge of ABI for parents/caregivers and for integrating children into the community over a 1-year period than a standard approach. The amount of service received appears to influence outcomes.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 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".