Supporting nursing roles in medical assistance in dying: Development and evaluation of an evidence-based reflective guide
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective: To develop and evaluate an evidence-based online Reflective Guide to prepare Registered Nurses and Nurse Practitioners for important professional, personal, and relational roles in MAID in Canada. Methods: The Reflective Guide was developed inductively from qualitative interviews with 120 Canadian nurses. The online Guide contains a 15 min documentary video and five areas of content: nurses' experiences, making moral sense of MAID, best practices, common dilemmas, and self-care strategies. Online visitors to the Guide were asked to participate in a mixed-method evaluation of the Guide. Results: Participants rated their experiences with the Guide highly, indicating that it helped them develop further insights about MAID and strengthened their practice. Qualitative responses revealed an array of emotions that resulted from the philosophic, moral, and professional wrestling that is characteristic of this new practice. Conclusion: The positive responses to the Guide, and the complexity of the responses submitted by respondents, attest to the effectiveness of the Guide and the importance of preparing nurses for the personal and professional aspects of MAID-related practice. Innovation: The MAID Reflective Guide is an effective innovation for nurses as evidenced by its uptake. In the first year the Guide received 2300 unique learners from 30 countries.
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.
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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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 it