Medical assistance in dying in Canada: A scoping review on the concept of suffering
Notice bibliographique
Résumé
OBJECTIVES: Medical Assistance in Dying (MAiD) has been legal in Canada since June 2016. A person can receive MAiD if their suffering cannot be relieved under conditions that they consider acceptable. Informed consent requires that the person requesting MAiD has received all the information needed to make their decision; that is, medical diagnosis and prognosis, available treatments including palliative care. The evaluation of unbearable suffering is known to be challenging as suffering is often psychological, existential, and social in nature. While interventions to relieve suffering exist, it is unclear how suffering is assessed and addressed in the literature on MAiD practice. No scoping review exists on the topic in Canada. The aim of this study was to understand how the concept of suffering was approached within the Canadian MAiD grey (GL) and scientific (peer-reviewed) literature (SL), specifically: 1- How suffering is defined and assessed in the context of MAiD in Canada and 2- Which interventions in response to suffering are recommended within the process of obtaining informed consent for MAiD and throughout the process of MAiD itself. METHODS: A scoping review was conducted based on PRISMA-SR guidelines. SL articles (N = 1027) were identified from a review of 6 databases and GL documents (N = 537) were obtained from the provinces of Quebec, Ontario and British Columbia. Documents were analyzed using NVivo with coding by two-raters and continuous team discussions. RESULTS: A multidimensional definition of suffering, akin to the concept of total pain, is used. The assessment of suffering is based upon patients' reports. Tools to aid in the assessment are not comprehensively covered. Specific interventions to address suffering were often focused on active listening and the management of physical symptoms. No specific interventions were mentioned and there was no reference to clinical practice guidelines in the grey literature to address other components of suffering. The use of a multidisciplinary approach is suggested without specifying the nature of involvement. CONCLUSIONS: Our review indicates that published guidelines of MAID assessments could include clearer structure around the assessment and management of suffering, with suggestions of tools that may help clarify types of suffering and reference to clinical practice guidelines and interventions to holistically attend to patient suffering with an attention on non-physical symptoms. Guidelines would benefit from clearer explanations of how members of an interdisciplinary teams could be coherently coordinated.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,004 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».