Building Capacity to Provide Palliative Care in Rural and Remote Communities Does Education Make a Difference?
Bibliographic record
Abstract
One strategy for improving access to palliative care services in rural and remote communities is to educate community-based health professionals in the knowledge and skills required to provide end-of-life care. It is, therefore, important to evaluate palliative care educational initiatives. This article provides an evaluation of the interdisciplinary education program at Lakehead University which aims to: improve the knowledge and skills of individual providers; contribute to the development of palliative care programs in rural communities; and develop palliative care trainers to educate their co-workers in the workplace. A survey of 353 providers who participated in the education program was completed after eight years of providing education. Results confirm that the goals of the education program were met, and that rural and remote communities reported a greater capacity to deliver palliative care. Nevertheless, respondents identified a lack of resources, especially home care visits, as an obstacle to improving 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 | 0.001 |
| 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".