A knowledge synthesis of culturally- and spiritually-sensitive end-of-life care: findings from a scoping review
Bibliographic record
Abstract
BACKGROUND: 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. METHODS: 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. RESULTS: The search identified barriers and enablers at the systems, community and personal/family levels. Primary barriers include: cultural differences between healthcare providers; persons approaching EoL and family members; under-utilization of culturally-sensitive models designed to improve EoL care; language barriers; lack of awareness of cultural and religious diversity issues; exclusion of families in the decision-making process; personal racial and religious discrimination; and lack of culturally-tailored EoL information to facilitate decision-making. CONCLUSIONS: This review highlights that most research has focused on decision-making. There were fewer studies exploring different cultural and spiritual experiences at the EoL and interventions to improve EoL care. Interventions evaluated were largely educational in nature rather than service oriented.
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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 | 0.034 | 0.143 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.037 | 0.035 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".