Accessing Medical Assistance in Death (MAiD): An interpretative phenomenological analysis of experiences with MAiD by family members and providers in Manitoba; A thesis submitted to the Faculty of Graduate Studies in partial fulfilment of the requirements for the Master of Arts degree, Department of Criminal Justice, The University of Winnipeg
Notice bibliographique
Résumé
This research explored first-hand experiences with medical assistance in death (MAiD) in Manitoba. It aimed to uncover what experiences revealed about the process behind this new end-of-life option in Canada. Specifically, the research aimed to reveal positive and negative aspects of the MAiD process in Manitoba, from which recommendations can be extracted. To accomplish this, semi-structured, open-ended interviews were conducted with eleven family members (who assisted with the MAiD process) as well as six members of the MAiD team (physicians, nurses, and a social worker). Interviews inquired into participant experiences with the MAiD process and legislation. Interviews were subsequently transcribed (anonymously) and manually analyzed for common themes among participants. Two major themes with subthemes were identified from participant responses. The first theme concentrates on the lack of MAiD awareness and understanding of MAiD requirements among the public and medical professionals. This lack of awareness stems from the absence of standardized education for medical professionals which in turn impedes access to MAiD for patients. The second theme discusses how moral objections (by loved ones, healthcare workers, or abstaining institutions) have also impacted the process. Notably, faith-based facilities (which prohibit MAiD), require patients to transfer elsewhere in order to access MAiD, which at times delays access or in some cases prevents it altogether. Transfers from abstaining facilities were described by participants as a drain on resources, morally distressing, and onerous for patients, sometimes ending unfavourably for them or preventing access to MAiD altogether. These findings call for better information dissemination about MAiD and most importantly, standardized education or professional development for healthcare providers. Greater public awareness of MAiD and its regulations is needed to ensure equitable access to this service, especially in rural areas. Finally, abstaining policies must be re-examined in order to alleviate transfer burdens for patients as well as healthcare providers and families. Further research is required to assess the depth and breadth of MAiD awareness across Canada, as well as track its progression over the years.
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 | 0,006 | 0,009 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,025 | 0,016 |
| Communication savante | 0,006 | 0,003 |
| Science ouverte | 0,003 | 0,007 |
| Intégrité de la recherche | 0,002 | 0,004 |
| 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 ».