Mind the gap: is the Canadian long-term care workforce ready for a palliative care mandate?
Bibliographic record
Abstract
Abstract The average expected lifespan in Canadian long-term care (LTC) homes is now less than two years post-admission, making LTC a palliative care setting. As little is known about the readiness of LTC staff in Canada to embrace a palliative care mandate, the main objective of this study was to assess qualities relevant to palliative care, including personal emotional wellbeing, palliative care self-efficacy and person-centred practices ( e.g. knowing the person, comfort care). A convenience sample of 228 professional and non-professional staff ( e.g. nurses and nursing assistants) across four Canadian LTC homes participated in a survey. Burnout, secondary traumatic stress and poor job satisfaction were well below accepted thresholds, e.g. burnout: mean = 20.49 (standard deviation (SD) = 5.39) for professionals; mean = 22.09 (SD = 4.98) for non-professionals; cut score = 42. Furthermore, only 0–1 per cent of each group showed a score above cut-off for any of these variables. Reported self-efficacy was moderate, e.g. efficacy in delivery: mean = 18.63 (SD = 6.29) for professionals; mean = 15.33 (SD = 7.52) for non-professionals; maximum = 32. The same was true of self-reported person-centred care, e.g. knowing the person; mean = 22.05 (SD = 6.55) for professionals; mean = 22.91 (SD = 6.16) for non-professionals; maximum = 35. t -Tests showed that non-professional staff reported relatively higher levels of burnout, while professional staff reported greater job satisfaction and self-efficacy ( p < 0.05). There was no difference in secondary traumatic stress or person-centred care ( p > 0.05). Overall, these results suggest that the emotional wellbeing of the Canadian LTC workforce is unlikely to impede effective palliative care. However, palliative care self-efficacy and person-centred care can be further cultivated in this context.
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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 | 0.002 | 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".