Legalised active assistance in dying: palliative care stakeholders’ national e-consultation
Bibliographic record
Abstract
OBJECTIVES: There is a growing debate surrounding the legalisation of medical assistance in dying (MAID). MAID is currently prohibited by the French law; however, the debate has recently been reinvigorated in France. This study aims to collect opinions of palliative care stakeholders (PCS) regarding the legalisation of MAID and to identify the factors associated with their opinions. METHODS: We performed a transversal survey between 26 June 2021 and 25 July 2021, on PCS who were on the French national scientific society for palliative care. Participants were invited by email. RESULTS: 1439 PCS took part and expressed an opinion about the legalisation of MAID. 1053 (69.7%) were against the legalisation of MAID. When forced to choose which option should be privileged if the law had to change, 3.7% favoured euthanasia, 10.1% favoured assisted suicide with provision of lethal drug by a professional, 27.5% favoured assisted suicide with prescription of a lethal drug and 29.5% favoured assisted suicide with provision of a lethal drug by an association. The opinion regarding legalisation of MAID was statistically different depending on the participant profession (p<0.001) and when comparing clinical and non-clinical positions (p<0.001). A quarter of participants (26.7%) believe that legalising MAID might lead them to change their current position. CONCLUSIONS: Overall, French palliative care professionals are against a modification of the current legal framework for legalising MAID but some might change their current position if a law was voted. This might destabilise the PCS demography that is already worrying.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".