Bibliographic record
Abstract
In June 2016, Bill C-14 or Medical Assistance in Dying legislation became law in Canada. With this law came changes to nurses' (ie, nurse practitioner, registered nurse, registered practical nurse) scopes of practice, roles, and responsibilities. While federal law, regulatory, and organizational policies are developed to inform nurses about the practice of medical assistance in dying, there is little evidence examining how nurses' roles and responsibilities are enacted in practice. Therefore, a scoping review was conducted to synthesize the evidence on nurses' roles and responsibilities in relation to medical assistance in dying and to identify gaps in the literature. A secondary aim was to identify organizational supports for nurses to effectively and ethically engage in medical assistance in dying. Using a recognized and rigorous scoping review methodology, the findings from 24 research studies were synthesized in this article. The analysis highlights the importance of effective health care professional engagement with the individual in the decision-making process and of the need to educate, support, and include nurses in providing medical assistance in dying. Overall, the current research on medical assistance in dying is limited in Canada, and more attention is needed on the role of the nurse.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".