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Record W2119112818 · doi:10.1177/000841740307000505

The Effects of Family-Centred Functional Therapy on the Occupational Performance of Children with Cerebral Palsy

2003· article· en· W2119112818 on OpenAlexvenueno aff
Brenda McGibbon Lammi, Mary Law

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2003
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsCerebral palsyOccupational therapyTask (project management)Psychological interventionMultiple baseline designIntervention (counseling)Baseline (sea)PsychologyPhysical medicine and rehabilitationActivities of daily livingPhysical therapyMedicineDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Family-Centred Functional Therapy (FCFT) is a comprehensive approach to paediatric occupational therapy that considers and addresses the skills of the child, the requirements of functional tasks and the elements within the tasks environment, including family goals and preferences. PURPOSE: The purpose of the present study was to determine if interventions based on FCFT, but limited to addressing elements of the task and environment, would improve task performance. METHOD: A single subject, multiple baseline design was applied to three children, for three tasks each. Tasks were selected by parents and measured during baseline and intervention phases. RESULTS: Results indicate that for each child at least one of the two tasks for which intervention was provided demonstrated improved performance. Parents reported a clinically significant improvement in satisfaction with their children's performance in the tasks that were addressed. PRACTICE IMPLICATIONS: This study provides preliminary evidence of the effectiveness of the FCFT approach.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.101
GPT teacher head0.338
Teacher spread0.237 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations74
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Occupational TherapySame topicFamily and Disability Support ResearchFrench-language works237,207