Improving access to palliative care for people experiencing socioeconomic inequities: findings from a community-based pilot research study
Bibliographic record
Abstract
INTRODUCTION: In Canada, people experiencing socioeconomic inequities have higher rates of late diagnosis and lower survival rates than the general population. Palliative care services focussed on this population are scarce. We developed a community-based nursing intervention to improve access to palliative care for people experiencing socioeconomic inequities and living with life-limiting illnesses in an urban Canadian setting. METHODS: This community-based, qualitative research study combined critical and participatory research methodologies. The study was conducted in partnership with the Palliative Care Outreach Advocacy Team (PCOAT) based in Edmonton, Alberta, a team dedicated to serving populations experiencing socioeconomic inequities who require palliative care. Following an exploratory phase that served to delineate the intervention, we undertook a one-year pilot implementation during which a part-time registered nurse (RN) joined PCOAT. The RN engaged in trust building, resolution of health and practical needs and complex care coordination. Twenty-five patients participated in the intervention. Participants were interviewed at least once to explore their experiences with the intervention. Data were analyzed through thematic analysis. RESULTS: Most participants were men, were Indigenous and had advanced cancer. Participants had significant financial concerns, lived or had lived in precarious housing situations and had previously faced serious challenges accessing health care. Participants reported social and health needs including housing, finances, transportation, symptom control, harm reduction and end-of-life care. Participants reported improved access to health and social services and expressed satisfaction with the study intervention. CONCLUSION: Study findings suggest the study intervention may have contributed to improved access to palliative care, improved experiences for participants and increased equity in the delivery of care.
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 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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".