Providers’ perceptions of Aboriginal palliative care in British Columbia’s rural interior
Bibliographic record
Abstract
Aboriginal Canadians experience a disproportionate burden of ill-health and have endured a history of racism in accessing and using health care. Meanwhile, this population is rapidly growing, resulting in an urgent need to facilitate better quality of living and dying in many ways, including through enhancing (cultural) access to palliative care. In this article, we report the findings from a qualitative case study undertaken in rural British Columbia, Canada through exploring the perceptions of Aboriginal palliative care in a region identified as lacking in formal palliative care services and having only a limited Aboriginal population. Using interview data collected from 31 formal and informal palliative care providers (May-September 2008), we thematically explore not only the existing challenges and contradictions associated with the prioritisation and provision of Aboriginal palliative care in the region in terms of (in)visibility but also identify the elements necessary to enhance such care in the future. The implications for service providers in rural regions are such that consideration of the presence of small, and not always 'visible', populations is necessary; while rural care providers are known for their resilience and resourcefulness, increased opportunities for meaningful two-way knowledge exchange with peers and consultation with experts cannot be overlooked. Doing so will serve to enhance culturally accessible palliative care in the region in general and for Aboriginal peoples specifically. This analysis thus contributes to a substantial gap in the palliative care literature concerning service providers' perceptions surrounding Aboriginal palliative care as well as Aboriginal peoples' experiences with receiving such care. Given the growing Aboriginal population and continued health inequities, this study serves to not only increase awareness but also create better living and dying conditions in small but incremental ways.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.007 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".