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Record W1965052165 · doi:10.1080/02699050701739531

Utility of the Canadian Occupational Performance Measure in community-based brain injury rehabilitation

2007· article· en· W1965052165 on OpenAlexaboutno aff
Narina Jenkinson, Tamara Ownsworth, David Shum

Bibliographic record

VenueBrain Injury · 2007
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationAcquired brain injuryMoodPhysical therapyTraumatic brain injuryContext (archaeology)MedicinePsychologyCognitionAnxietyClinical psychologyPhysical medicine and rehabilitationPsychiatry

Abstract

fetched live from OpenAlex

PRIMARY OBJECTIVE: To investigate the clinical utility of the Canadian Occupational Performance Measure (COPM) for community-based individuals with acquired brain injury (ABI). METHODS AND PROCEDURES: Thirty-four individuals with ABI (M = 5.32 years post-injury, SD = 3.92) were administered the COPM with self- and relative ratings of performance and satisfaction obtained. Relatives completed the Brain Injury Community Rehabilitation Outcome 39 (BICRO-39) scales. Measures of awareness of deficits, emotional status and cognitive function were obtained. A sub-group of participants was randomly allocated into a no-intervention group (n = 15) or an 8-week treatment group (n = 10). Initial assessments and 8-week follow-up assessments were conducted. MAIN OUTCOMES AND RESULTS: A pre- and post-assessment comparison for the treatment group identified a significant improvement on most COPM ratings (p < 0.05), but not the BICRO-39 (p > 0.05). However, self-ratings of satisfaction improved for the no-intervention group (p < 0.05). Self-ratings of satisfaction were significantly correlated with anxiety (r = -0.42, p < 0.05), although there were no other significant associations between COPM ratings and awareness, mood state and cognitive function. CONCLUSIONS: The findings generally support the utility of the COPM in community-based rehabilitation; however, the need for self-ratings to be interpreted in the context of other outcome indicators is recommended.

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)0.009
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.067
GPT teacher head0.364
Teacher spread0.297 · 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.

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

Citations47
Published2007
Admission routes1
Has abstractyes

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