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Record W2072395851 · doi:10.1002/art.20522

Norwegian version of the Canadian Occupational Performance Measure in patients with hand osteoarthritis: Validity, responsiveness, and feasibility

2004· article· en· W2072395851 on OpenAlexaboutno aff
Ingvild Kjeken, B. Slatkowsky-Christensen, Tore K Kvien, Till Uhlig

Bibliographic record

VenueArthritis Care & Research · 2004
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsNorwegianPhysical therapyMedicineOsteoarthritisPsychological interventionOccupational therapyPhysical medicine and rehabilitationAlternative medicineNursingPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To test the Norwegian version of the Canadian Occupational Performance Measure (COPM) for validity, responsiveness, and feasibility in patients with hand osteoarthritis. METHODS: Seventy-nine patients completed a COPM interview and several self-reported health status questionnaires, including Arthritis Impact Measurement Scales 2, modified Health Assessment Questionnaire; Western Ontario and McMaster Universities Osteoarthritis Index, and the Australian/Canadian Osteoarthritis Hand Index. Rescoring of the same instruments was performed 4 months later, after an intervention. RESULTS: The COPM detected a great variability of occupational performance problems. The hypotheses for testing validity were confirmed. Mean COPM change was 1.51 (P < 0.001) in performance score, and 2.22 (P < 0.001) in satisfaction score. The median time spent on the COPM interview was 30 minutes (range 10-70 minutes). The patients found the questions easy to understand, but 37% reported problems performing the scoring procedure. CONCLUSIONS: The Norwegian version of the COPM is a valid and responsive instrument for use in clinical practice in osteoarthritis patients. It may serve as an instrument to promote a client-centered approach and as a supplement to other health measures in the planning and evaluating of interventions. Feasibility regarding scoring needs to be improved.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.991

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.307
Teacher spread0.281 · 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

Citations84
Published2004
Admission routes1
Has abstractyes

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