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Record W2063147726 · doi:10.1080/02699050600975541

An evaluation of the paediatric acquired brain injury community outreach programme (PABICOP)

2006· article· en· W2063147726 on OpenAlexaff
Janette McDougall, Michelle Servais, Joy Sommerfreund, Ellen F. Rosen, Jane Gillett, Janice Gray, Sara Somers, Pamela J. Frid, David J. DeWit, Lisa Pearlman, Frances Hicock

Bibliographic record

VenueBrain Injury · 2006
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsCentre for Addiction and Mental HealthHamilton Health SciencesLondon Health Sciences CentreHealth Sciences CentreThames Valley Children's Centre
Fundersnot available
KeywordsAcquired brain injuryOutreachPsychologyCommunity integrationTraumatic brain injuryMedicineRehabilitationPhysical therapyPsychiatryPolitical science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.105
GPT teacher head0.387
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations28
Published2006
Admission routes1
Has abstractyes

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