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Record W41731573 · doi:10.1177/082585970201800407

The Role of the Pharmacist in Palliative Care: Results of a Survey Conducted in Australia and Canada

2002· article· en· W41731573 on OpenAlexaffabout
Peter J Gilbar, Kimberley Stefaniuk

Bibliographic record

VenueJournal of Palliative Care · 2002
Typearticle
Languageen
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsPalliative carePharmacistFamily medicineDemographicsMedicineNursingPharmacy

Abstract

fetched live from OpenAlex

A survey was conducted to determine what pharmaceutical services are provided to palliative care sites in Australia and Canada, and the pharmacist's role on the interdisciplinary team. Questionnaires were sent to 100 selected sites in each country. Questions pertained to demographics and the level of duties performed. Australian 42/76 (55.3%) and Canadian 59/69 (85.5%) sites employed palliative care pharmacists. Most Australians (83.3%) and Canadians (69.8%) worked under 20 hours/week on the palliative care service. Administrative duties and basic drug supply functions were more common in Australia, whilst Canadians had greater participation in team meetings and rounds. Medication review was the most common clinical duty; approximately 70% of respondents in each country provided specific advice on pharmacotherapy, administration, treatment, adverse effects, and incompatibilities. Education was universally important, but active participation in conferences, publication, and research was infrequent. Pharmacists in both Australia and Canada are important members of the palliative care team, and provide a similar high level of unique and valuable services to patients and their families.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.480
Threshold uncertainty score0.894

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.078
GPT teacher head0.333
Teacher spread0.255 · 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

Citations40
Published2002
Admission routes2
Has abstractyes

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