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Record W4214817951 · doi:10.1177/00084174221084466

Occupational Therapy Practice in Palliative and End-of-Life Care in Québec

2022· article· en· W4214817951 on OpenAlexvenueaboutno aff
Claudia Talbot-Coulombe, Gina Bravo, Annie Carrier

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2022
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsPalliative careScope (computer science)Occupational therapyNursingDescriptive statisticsEnd-of-life careScope of practiceHealth carePsychologyMedicinePsychiatryPolitical science

Abstract

fetched live from OpenAlex

Background. There is an emerging evidence base about the scope of occupational therapy in palliative and end-of-life care, but little is known about this practice in Québec or barriers impeding it. Purpose. To describe Québec occupational therapists’ practice in palliative and end-of-life care and barriers they encounter. Method. Using the Québec regulatory board members list, we invited occupational therapists working in palliative and end-of-life care to answer an online survey comprising 24 closed- and 5 open-ended questions. We analyzed data using descriptive statistics and content analysis. Findings. The 67 survey participants mainly optimized comfort and safety in meaningful occupations such as mobility, transfers, and hygiene. Barriers to their practice included organizational obstacles and unfamiliarity with their role. Implications. Findings highlight the need to improve education and awareness among occupational therapists and other healthcare professionals about the scope of what occupational therapists can do in palliative and end-of-life care.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.187
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.278
GPT teacher head0.519
Teacher spread0.241 · 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

Citations18
Published2022
Admission routes2
Has abstractyes

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