The care experiences of patients who die in residential hospice: A qualitative analysis of the last three months of life from the views of bereaved caregivers
Notice bibliographique
Résumé
OBJECTIVE: Despite the increasing prominence of residential hospices as a place of death and that, in many regards, this specialized care represents a gold standard, little is known about the care experience in this setting. Using qualitative survey data, we examined the positive and negative perceptions of care in hospices and in other prior settings. METHOD: Qualitative comments were extracted from the CaregiverVoice survey completed by bereaved caregivers of decedents who had died in 16 residential hospices in Ontario, Canada. On this survey, caregivers reported what was good and bad about the services provided during the last three months of life as separate open-text questions. A constant-comparison method was employed to derive themes from the responses. RESULTS: A total of 550 caregivers completed the survey, 94% (517) of whom commented on either something good (84%) and/or bad (49%) about the care experience. In addition to residential hospice, the majority of patients represented also received palliative care in the home (69%) or hospital (59%). Overall, most positive statements were about care in hospice (71%), whereas the negative statements tended to refer to other settings (81%). The hospice experience was found to exemplify care that was compassionate and holistic, in a comforting environment, offered by providers who were personable, dedicated, and informative. These humanistic qualities of care and the extent of support were generally seen to be lacking from the other settings. SIGNIFICANCE OF RESULTS: Our examination of the good and bad aspects of palliative care received is unique in qualitatively exploring palliative care experiences across multiple settings, and specifically that in hospices. Investigation of these perspectives affirmed the elements of care that dying patients and their family caregivers most value and that the hospices were largely effective at addressing. These findings highlight the need for reinforcing these qualities in other end-of-life settings to create comforting and supportive environments.
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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».