Experiences of patients and caregivers with early palliative care: A qualitative study
Bibliographic record
Abstract
BACKGROUND: Early palliative care improves quality of life and satisfaction with care and is increasingly endorsed for patients with advanced cancer. However, little is known about the experience of receiving early palliative care from a patient and caregiver perspective. AIM: The aim of this qualitative study was to determine, from a participant perspective, the experience of receiving early palliative care and elements of that care. DESIGN: Qualitative grounded theory study using individual interviews. SETTING/PARTICIPANTS: The study took place at a comprehensive cancer centre. Patients ( n = 26) and caregivers ( n = 14) from the intervention arm of a cluster-randomised controlled trial of early palliative care versus standard oncology care participated in qualitative interviews. Participants were asked to comment on their quality of life, the quality of care provided over the intervention period and their experiences with the palliative care team. RESULTS: Participants described feeling supported and guided in their illness experience and in their navigation of the healthcare system. Specific elements of early palliative care included prompt, personalised symptom management; holistic support for patients and caregivers; guidance in decision-making; and preparation for the future. Patients with symptoms particularly valued prompt attention to their physical concerns, while those without symptoms valued other elements of care. Although three patients were ambivalent about their current need for palliative care, no distress was reported as a consequence of the intervention. CONCLUSION: The elements of care described by participants may be used to develop, support and refine models of early palliative care for patients with cancer.
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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 | 0.017 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".