A knowledge synthesis of culturally- and spiritually-sensitive end-of-life care: findings from a scoping review.
Bibliographic record
Abstract
Multiple factors influence the end-of-life (EoL) care and experience of poor quality services by culturally and spiritually-diverse groups. Access to EoL services e.g. health and social supports at home or in hospices is difficult for ethnic minorities compared to white European groups. A tool is required to empower patients and families to access culturally-safe care. This review was undertaken by the Canadian Virtual Hospice as a foundation for this tool. To explore attitudes, behaviours and patterns to utilization of EoL care by culturally and spiritually diverse groups and identify gaps in EoL care practice and delivery methods, a scoping review and thematic analysis of article content was conducted. Fourteen electronic databases and websites were searched between June–August 2014 to identify English-language peer-reviewed publications and grey literature (including reports and other online resources) published between 2004–2014.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.028 | 0.103 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.038 | 0.038 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".