MAiD (Medical Assistance in Dying) and Meaning: An Exploration of the Experience and Ability to Make Meaning through Involvement in a MAiD-Specific Bereavement Group, the Synergistic potential of COVID-19 and MAiD, and the Impact of Healthcare Providers Relationships from the Perspective of Relational Ethics on the Legacy of MAiD-Involved Families into their Bereavement
Notice bibliographique
Résumé
MAiD became legally accessible to Canadians with a grievous and irremediable illness in June of 2016. As I write in 2023, MAiD has been expanded to include patients who do not have a foreseeable death, with anticipated inclusion of those with mental illness as a sole underlying medical condition (MI-SUMC) in 2024. As MAiD now accounts for over 3% of all deaths annually in Canada, there is a growing impetus to explore ways by which MAiD practice can be improved and care can be extended to the family members following the death of a patient.\nA hospital in southwestern Ontario created a curriculum for a MAiD specific bereavement group, to support this unique community of loss and further the Canadian initiative for excellence in palliative care (2019) – which extends to the entire network of those involved in supporting a dying patient. It was imperative that this be evaluated to determine if the promises made to this inaugural bereavement group were upheld, and how MAiD practice can be improved to meet this important initiative. In this process, three groups of findings emerged pertaining to: Assessing and determining the impact and efficacy of the MAiD bereavement group using a mixed methods approach The synergistic impact of COVID-19 public health measures on those bereaved by MAiD during the pandemic The relationship between healthcare providers and MAiD-involved families, and the impacts of this relationship into their bereavement through a relational ethics framework \nFindings suggest that a bereavement group can support families and help generate communities with shared experiences. Additionally, through secondary analysis, findings suggest that COVID-19 adversely impacted this group through additional isolation, most particularly for those who were already experiencing social isolation and stigma due to the nature of their significant person’s death which was further supported by their involvement in a bereavement group. Finally, the relationship between the health care provider and the MAiD family can have a positive or negative impact on their bereavement narrative, depending on their level of engagement, support of the family before and after the death, and facilitation of access for the patient to MAiD.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,011 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,018 | 0,034 |
| Communication savante | 0,010 | 0,010 |
| Science ouverte | 0,003 | 0,017 |
| Intégrité de la recherche | 0,002 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».