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The Canadian Occupational Performance Measure: its use with clients with schizophrenia

2003· article· en· W2325243158 on OpenAlexaboutno aff
Mary Kay Cresswell, Sue Rugg

Bibliographic record

VenueBritish Journal of Therapy and Rehabilitation · 2003
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapySchizophrenia (object-oriented programming)Intervention (counseling)PsychologyClinical psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

This study was conducted with nine clients who were referred to a community-based occupational therapy service with a diagnosis of schizophrenia. Data were collected before and after each individual had undertaken a 12-week period of occupational therapy intervention. Clients' self-perceived level of performance and satisfaction with this performance were recorded using the Canadian Occupational Performance Measure (COPM). Their initial self-perceived occupational performance problems were also recorded using the Community Occupational Therapy Initial Assessment (COTIA). At the time of reassessment, information from the COTIA was compared with documentary evidence of client change as reflected in therapists' reports and/or discharge letters. Both tools identified a similar range of client-perceived occupational performance problems. In addition, the COPM showed a clinically significant and quantifiable change in client performance and satisfaction over time. Despite the limited nature of this study, these findings suggest that the COPM may be a useful tool for occupational therapists to use with individuals who have schizophrenia in a community setting.

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)0.003
metaresearch head score (Gemma)0.010
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.812

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.058
GPT teacher head0.367
Teacher spread0.309 · 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

Citations11
Published2003
Admission routes1
Has abstractyes

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