Assessing attitudes towards medical assisted dying in Canadian family medicine residents: a cross-sectional study
Notice bibliographique
Résumé
BACKGROUND: Medical Assistance in Dying (MAID) in Canada came into effect in 2016 with the passing of Bill C-14. As patient interest and requests for MAID continue to evolve in Canada, it is important to understand the attitudes of future providers and the factors that may influence their participation. Attitudes towards physician hastened death (PHD) in general and the specific provision of MAID (e.g., causing death by lethal prescription or injection) are unknown among Canadian residents. This study examined residents' attitudes towards PHD and MAID, and identified factors (e.g., demographics, clinical exposure to death and dying) that may influence their decision to participate in PHD and provide MAID. METHODS: A cross-sectional survey was adapted from prior established surveys on MAID to reflect the Canadian setting. All Canadian family medicine programs were invited to participate. The survey was distributed between December 2016 and April 2017. Analysis of the results included descriptive statistics to characterize the survey participants and multivariable logistic regressions to identify factors that may influence residents' attitudes towards PHD and MAID. RESULTS: Overall, 247 residents from 6 family medicine training programs in Canada participated (response rate of 27%). While residents were most willing to participate in treatment withdrawal (52%), active participation in PHD (41%) and MAID by prescription of a lethal drug (31%) and lethal injection (24%) were less acceptable. Logistic regressions identified religion as a consistent and significant factor impacting residents' willingness to participate in PHD and MAID. Residents who were not strictly practicing a religion were more likely to be willing to participate in PHD (OR = 17.38, p < 0.001) and MAID (lethal drug OR = 10.55, p < 0.01, lethal injection OR = 8.54, p < 0.05). Increased clinical exposure to death and dying crudely correlated with increased willingness to participate in PHD and MAID, but when examined in multivariable models, only a few activities (e.g., declaring death, completing a death certificate) had a statistically significant association. Other significant factors included the residents' sex and location of training. CONCLUSIONS: Residents are hesitant to provide MAID themselves, with religious faith being a major factor impacting their decision.
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 | 0,011 | 0,078 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,003 |
| 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 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 ».