Medical assistance in dying: the role of the nurse practitioner
Bibliographic record
Abstract
Medical Assistance in Dying (MAiD) is the Canadian response to the enduring debate over euthanasia. Canada is the first country to permit Nurse Practitioners (NPs) to provide these services. This culminating project addressed the problem of limited overall knowledge of MAiD and provided evidence-based arguments for the increased role and need of NPs providing MAiD services. A scoping literature review was completed, and results were evaluated utilizing the Joanna Briggs Institute critical appraisal tools. Results provided an overview of the historical, legal and procedural related background of MAiD. Despite thousands of years of legal, medical, philosophical, and theological deliberations, euthanasia remains a controversial and unresolved concept. An objective outline on the main contentious ethical issues such as mental illness, mature minors, contentious objection and advanced directives was provided. Barriers were looked at such as geography and compensation for MAiD, alongside accompanied solutions. Procedural details were summarised including documentation and medications. Lastly, the role of nurse practitioners was discussed providing evidence that their skills and knowledge suits the provision of MAiD services.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.037 | 0.049 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".