Unravelling complex choices: multi-stakeholder perceptions on dialysis withdrawal and end-of-life care in kidney disease
Notice bibliographique
Résumé
BACKGROUND: For patients on dialysis with poor quality of life and prognosis, dialysis withdrawal and subsequent transition to palliative care is recommended. This study aims to understand multi-stakeholder perspectives regarding dialysis withdrawal and identify their information needs and support for decision-making regarding withdrawing from dialysis and end-of-life care. METHODS: Participants were recruited through purposive sampling from eight dialysis centers and two public hospitals in Singapore. Semi-structured in-depth interviews were conducted with 10 patients on dialysis, 8 family caregivers, and 16 renal healthcare providers. They were held in-person at dialysis clinics with patients and caregivers, and virtually via video-conferencing with healthcare providers. Interviews were audio-recorded, transcribed, and thematically analyzed. The Ottawa Decision Support Framework's decisional-needs manual was used as a guide for data collection and analysis, with two independent team members coding the data. RESULTS: Four themes reflecting perceptions and support for decision-making were identified: a) poor knowledge and fatalistic perceptions; b) inadequate resources and support for decision-making; c) complexity of decision-making, unclear timing, and unpreparedness; and d) internal emotions of decisional conflict and regret. Participants displayed limited awareness of dialysis withdrawal and palliative care, often perceiving dialysis withdrawal as medical abandonment. Patient preferences regarding decision-making ranged from autonomous control to physician or family-delegated choices. Cultural factors contributed to hesitancy and reluctance to discuss end-of-life matters, resulting in a lack of conversations between patients and providers, as well as between patients and their caregivers. CONCLUSIONS: Decision-making for dialysis withdrawal is complicated, exacerbated by a lack of awareness and conversations on end-of-life care among patients, caregivers, and providers. These findings emphasize the need for a culturally-sensitive tool that informs and prepares patients and their caregivers to navigate decisions about dialysis withdrawal and the transition to palliative care. Such a tool could bridge information gaps and stimulate meaningful conversations, fostering informed and culturally aligned decisions during this critical juncture of care.
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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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».