Is progress being made on Canada’s palliative care framework and action plan? A survey of stakeholder perspectives
Notice bibliographique
Résumé
BACKGROUND: The legalization of Medical Assistance in Dying in Canada in 2016 provided new impetus for improving palliative care. This commitment to improvement included the development of a National Palliative Care Framework and Action Plan. The purpose of this study was to understand the progress made in palliative care since 2016 from the perspective of persons working and volunteering in palliative care and compare geographic differences. METHODS: A digital survey was developed from goals identified in Canada's Palliative Care Framework and Action Plan and administered online using Qualtrics. Participants were recruited through national palliative care organizations. The survey included both quantitative survey items designed to evaluate improvements across 5 domains and 29 items and included open-ended questions about impacts, innovations, and ongoing challenges. Descriptive statistics were generated for survey domains, items, and demographic variables. Geographic differences were compared using Independent-Samples Kruskal-Wallis test. Qualitative data was analyzed inductively into themes. RESULTS: One hundred fifty surveys met inclusion criteria and were analysed. Overall, the most improvement was reported in palliative care education and the least improvement was reported in support for family caregivers. Items on which respondents reported the most improvement included healthcare provider education in palliative care, advance care planning, and use of technology. Items on which respondents reported the least improvement were respite for family caregivers, access to bereavement services, and in-home support for family caregivers. Notably, rural participants reported more statistically significant improvements in the domains of education, access, and research and data collection than their urban counterparts. However, rural participants reported less improvement in places to die when home is not preferable. The COVID-19 pandemic was a significant contributor to these perceived improvements and ongoing challenges. CONCLUSION: Canada's Framework and Action Plan sets out a roadmap for improving palliative care in Canada. Participants in this survey noted significant improvements in key areas, a notable accomplishment amidst the effects of the COVID-19 pandemic. Some improvements were a result of greater use of distance technology. Further leveraging these improvements will make an important contribution to solving some of the rural and remote palliative care issues that have arisen from Canada's unique geography.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 ».