Readiness for delivering early palliative care: A survey of primary care and specialised physicians
Bibliographic record
Abstract
Background: Evidence supporting early palliative care is based on trials of specialised palliative care, but a more sustainable model might involve mainly primary providers. Aim: The aim of this study was to compare the characteristics of physicians providing primary and specialised palliative care, their attitudes towards early palliative care and their perception of having sufficient resources for its provision. Design: Survey distributed by mail and e-mail. Specialised providers were defined as both receiving palliative care referrals from other physicians and not providing palliative care only for their own patients. Setting/participants: A total of 531 physicians providing palliative care in Canada (71% participation) participated in the study. Results: Of the participants, 257 (48.4%) provided specialised and 274 (51.6%) primary care. Specialists were more likely to have palliative care training (71.8% vs 35.2%), work in urban areas (94.1% vs 75.6%), academic centres (47.8% vs 26.0%) and on teams (82.4% vs 16.8%), and to provide mainly cancer care (84.4% vs 65.1%) (all p < 0.001). Despite strongly favouring early palliative care, only half in each group agreed they had resources to deliver it; agreement was stronger among family physicians, those working on teams and those with greater availability of community and psychosocial support. Primary providers were more likely to agree that renaming the specialty ‘supportive care’ would increase patient comfort with early palliative care referral (47.4% vs 35.5%, p < 0.001). Conclusion: Despite strongly favouring the concept, both specialists and primary providers lack resources to deliver early palliative care; its provision may be facilitated by team-based care with appropriate support. Opinions differ regarding the value of renaming palliative care.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".