Perceptions of palliative care in a South Asian community: findings from an observational study
Bibliographic record
Abstract
Abstract Background Patients often view “palliative care” (PC) as an approach that is synonymous with end-of-life and death, leading to shock and fear. Differing cultural and social norms and religious affiliations greatly determine perception of PC among diverse populations. Methods This prospective observational study aimed to explore perceptions of PC among South Asian community members at one Canadian site. Patients who identified themselves as being of South Asian origin were consented and enrolled at a PC Clinic at a community hospital in Brampton, Ontario serving a large South Asian population. Participants filled out an 18-question survey created for the study and responded to a semi-structured interview consisting of 8 questions that further probed their perceptions of PC. Survey responses and semi-structured interviews content were analyzed by four authors who reached consensus on key exploratory findings. Results Thirty-four participants of South Asian origin were recruited (61.8% males), and they were distributed by their age group as follows: [(30–49) - 18%; (50–64) – 21%; (65–79) - 41%; (≥ 80) – 21%]. Five main exploratory findings emerged: (i) differing attitudes towards talking about death; (ii) the key role of family in providing care; (iii) a significant lack of prior knowledge of PC; (iv) a common emphasis on the importance of alleviating suffering and pain to maintain comfort; and (v) that cultural values, faith, or spiritual belief do not pose a necessary challenge to acceptance of PC services. Conclusions Observations from this study provide a source of reference to understand the key findings and variability in perceptions of palliative care in South Asian communities. Culturally competent interventions based on trends observed in this study could assist Palliative Physicians in delivering personalized care to South Asian populations.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.340 | 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; both teacher heads agree on what is shown here.
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".