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Record W6964389836 · doi:10.25384/sage.c.7207487

Occupational Therapy Outcome Measures in Preschool Children With Autism Spectrum Disorders: A Scoping Review

2024· other· en· W6964389836 on OpenAlexaboutno aff

Bibliographic record

VenueSage Journals Data · 2024
Typeother
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyAutismAutism spectrum disorderInternational Classification of Functioning, Disability and HealthPsychological interventionVineland Adaptive Behavior ScaleOutcome (game theory)Goal Attainment Scaling

Abstract

fetched live from OpenAlex

With the rising prevalence of autism spectrum disorder (ASD), early assessment of preschool children is vital for occupational therapists. This scoping review aimed to provide detailed information about outcome measures used in occupational therapy interventions in preschool children with ASD and map the focus of the outcome measures based on the International Classification of Functioning, Disability, and Health (ICF) components. A thorough search from 2000 to 2022 was conducted that employed ICF linking rules to categorize the outcome measures. Seventy-four outcome measures were identified. They predominantly targeted body function and activity/participation, with less emphasis on environmental factors, and none assessed body structure. The most common measures were Vineland Adaptive Behavior Scale (VABS-2), Canadian Occupational Performance Measure (COPM), and Parenting Stress Index–Short Form (PSI-SF). This study offers a diverse array of outcome measures and underscores the potential of the ICF framework in enhancing evaluations, particularly concerning broader environmental components as one of the primary facilitating/hindering factors in the participation of children with ASD.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.142
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0490.001

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.

Opus teacher head0.053
GPT teacher head0.338
Teacher spread0.285 · 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
GenreReview

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

Citations0
Published2024
Admission routes1
Has abstractyes

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