Use of palliative sedation following Medical Assistance in Dying (MAiD) legislation: A mixed-methods study of palliative care providers
Bibliographic record
Abstract
OBJECTIVES: Palliative sedation (PS) and Medical Assistance in Dying (MAiD) are options for end-of-life (EOL) care in Canada, since the latter was legalized in 2016. Little research to date has explored the potential impact of MAiD on PS practices. This study investigated physicians' perceptions of their practices surrounding PS and how they may have changed since 2016. METHODS: =23) were conducted with palliative care providers throughout Ontario. Questions focused on PS practices and explored potential changes following the implementation of MAiD. Codes were determined collaboratively and applied line-by-line by 2 independent investigators. Survey responses were analyzed alongside interview transcripts and noted to be concordant. Themes were generated via reflexive thematic analysis. RESULTS: Thematic analysis yielded the following themes: (1) Increased patient/family knowledge of EOL care; (2) More frequent/fulsome discussions; (3) Normalization/repositioning of PS; and (4) Conflation and differentiation of PS/MAiD. Across these themes, participants espoused increased patient, family, and provider comfort with PS, which may stem equally from the advent of MAiD and the growth of palliative care in general. Participants also emphasized that, following MAiD, PS is viewed as a less radical intervention. SIGNIFICANCE OF RESULTS: This is the first study to investigate physicians' perspectives on the impact of MAiD on PS. Participants strongly opposed treating MAiD and PS as direct equivalents, given the differences in intent and eligibility. Participants stressed that MAiD requests/inquiries should prompt individualized assessments exploring all avenues of symptom management - the results of which may or may not include PS.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".