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Clinical Utility of the Canadian Occupational Performance Measure in Spinal Cord Injury Rehabilitation

2012· article· en· W1996452191 on OpenAlexaboutno aff
Louise Gustafsson, Genna Mitchell, Jenny Fleming, Glenda L Price

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2012
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapySpinal cord injuryThematic analysisRehabilitationFocus groupPerspective (graphical)Physical therapyPsychologyMedicineClinical PracticePhysical medicine and rehabilitationQualitative researchNursingSpinal cordPsychiatryComputer science

Abstract

fetched live from OpenAlex

Introduction: Collaborative goal setting is an important part of the occupational therapy process in spinal cord injury rehabilitation. Little is known about the clinical utility of the Canadian Occupational Performance Measure (COPM) with this population, although it has potential advantages over informal methods of goal setting commonly used in a spinal injury unit (SIU). The aim of this study was to investigate the goal setting process and clinical utility of the COPM from the perspective of occupational therapists within a SIU. Method: A focus group was conducted with six occupational therapists working in a SIU to explore their experiences and use of goal setting and the COPM. Inductive thematic analysis identified key themes from their comments. Findings: Focus group themes were the impact of client adjustment and other factors, organisational and administrative factors, therapist skill level and experience requirements, benefits of the COPM and incorporating the COPM into practice. Conclusion: Formal goal setting was a concept that was identified as a priority by the participants; however, there were organisational, client and therapist related factors that were considered as both barriers and facilitators to formal goal setting and the use of the COPM in this 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 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)0.011
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.262
GPT teacher head0.536
Teacher spread0.274 · 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
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

Citations21
Published2012
Admission routes1
Has abstractyes

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