Grief and bereavement of family and friends around medical assistance in dying: scoping review
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
OBJECTIVES: The increase in the number of jurisdictions legalising medical assistance in dying (MAiD) has contributed to a growth in the number of family and friends who may face unique elements of grief and bereavement. The aim of this study was to review the literature of grief and bereavement of family and friends following MAiD, and to summarise findings for the development of community resources and programming. METHODS: We performed a scoping review with workshop consultation of stakeholders. Six electronic databases and the grey literature were searched for qualitative, quantitative and review articles. Content-analytical techniques and multidisciplinary discussions led to the development of concepts and a conceptual framework. RESULTS: Twenty-eight articles met the inclusion criteria. We identified five concepts that impact the grief and bereavement of family/friends: relationships between family/friends and the patient as well as healthcare providers; aspects of MAiD grief which can include secrecy and/or anticipatory grief; preparations which may include family/friends and should be centralised and harmonised; end of life as an opportunity for ceremony; and the aftereffects during which mental health outcomes are studied. CONCLUSION: This multidisciplinary scoping review incorporates stakeholder consultation to find that support is needed to address the complicated and changing emotions of family/friends before, during and after a MAiD death. Furthermore, additional societal normalisation of MAiD is necessary to reduce secrecy and stigma and improve the accessibility of resources for family/friends.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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