Exploring How Family Members Experience Medical Assistance in Dying (MAiD)
Bibliographic record
Abstract
This study explored how family members experience Medical Assistance in Dying (MAiD), since the 2016 Canadian legislation. The Listening Guide, a qualitative research methodology, was used to hear the experiences of seven family members from across Canada, whose loved one received MAiD. Analyses revealed that family members experienced tension in negotiating relationship to themselves, to their loved one, and to others involved. These tensions were heard in four voices throughout the study: witnessing, caregiving, honouring choice and supporting dignity, and surrendering and letting go. \n\nCurrent procedures and policies tend to focus on the individual receiving MAiD. Shifting practices to align with relational ethics could challenge healthcare providers to consider how they might support family members. By acknowledging the social context of the patient receiving MAiD, this study extends the discourse surrounding MAiD beyond the realm of individual autonomy, suggesting a shift in care from being patient-focused to being truly person-centred.
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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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 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".