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Record W2134394169 · doi:10.1177/0269216309351380

Review: Cultural conceptualizations of hospice palliative care: more similarities than differences

2009· review· en· W2134394169 on OpenAlexafffund
Harvey Bosma, Lars Apland, Arminée Kazanjian

Bibliographic record

VenuePalliative Medicine · 2009
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsConceptualizationMainstreamPalliative carePsychosocialCLARITYEthnic groupMedicineNursingPsychologyGerontologySociologyPsychiatry

Abstract

fetched live from OpenAlex

The role of culture is significant in hospice palliative care (HPC). While mainstream HPC has been well described in many Western countries, there is no conceptual clarity regarding the meaning of HPC among minority cultures and ethnicities. In this article we describe and critically appraise the findings of a literature synthesis of 15 qualitative studies regarding the conceptualization of HPC among culturally diverse populations. Three primary themes emerged regarding HPC. They highlight: (i) that HPC should attend to the physical, psychosocial and spiritual aspects of death and dying; (ii) that the ideal HPC provider demonstrates excellent knowledge and expertise about end-of-life care, and is respectful, genuine and compassionate; and (iii) that HPC should include a range of resources that alleviate the potential burdens associated with end-of-life care. The synthesis of this knowledge suggests that expectations regarding the scope of HPC across ethnic and cultural groups have more similarities than differences to the goals of mainstream HPC.

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)0.005
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0050.011
Science and technology studies0.0010.003
Scholarly communication0.0040.005
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.277
GPT teacher head0.499
Teacher spread0.222 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations62
Published2009
Admission routes2
Has abstractyes

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