Predictors of the final place of care of patients with advanced cancer receiving integrated home-based palliative care: a retrospective cohort study
Notice bibliographique
Résumé
BACKGROUND: Meeting patients' preferences for place of care at the end-of-life is an indicator of quality palliative care. Understanding the key elements required for terminal care within an integrated model may inform policy and practice, and consequently increase the likelihood of meeting patients' preferences. Hence, this study aimed to identify factors associated with the final place of care in patients with advanced cancer receiving integrated, home-based palliative care. METHODS: This retrospective cohort study included deceased adult patients with advanced cancer who were enrolled in the home-based palliative care service between January 2016 and December 2018. Patients with < 2 weeks' enrollment in the home-based service, or ≤ 1-week duration at the final place of care, were excluded. The following information were retrieved from patients' electronic medical records: patients' and their families' characteristics, care preferences, healthcare utilization, functional status (measured by the Palliative Performance Scale (PPSv2)), and symptom severity (measured by the Edmonton Symptom Assessment System). Multivariate logistic regression was employed to identify independent predictors of the final place of care. Kappa value was calculated to estimate the concordance between actual and preferred place of death. RESULTS: A total of 359 patients were included in the study. Home was the most common (58.2%) final place of care, followed by inpatient hospice (23.7%), and hospital (16.7%). Patients who were single or divorced (OR: 5.5; 95% CI: 1.1-27.8), or had older family caregivers (OR: 3.1; 95% CI: 1.1-8.8), PPSv2 score ≥ 40% (OR: 9.1; 95% CI: 3.3-24.8), pain score ≥ 2 (OR: 3.6; 95% CI: 1.3-9.8), and non-home death preference (OR: 23.8; 95% CI: 5.4-105.1), were more likely to receive terminal care in the inpatient hospice. Patients who were male (OR: 3.2; 95% CI: 1.0-9.9), or had PPSv2 score ≥ 40% (OR: 8.6; 95% CI: 2.9-26.0), pain score ≥ 2 (OR: 3.5; 95% CI: 1.2-10.3), and non-home death preference (OR: 9.8; 95% CI: 2.1-46.3), were more likely to be hospitalized. Goal-concordance was fair (72.6%, kappa = 0.39). CONCLUSIONS: Higher functional status, greater pain intensity, and non-home death preference predicted institutionalization as the final place of care. Additionally, single or divorced patients with older family caregivers were more likely to receive terminal care in the inpatient hospice, while males were more likely to be hospitalized. Despite being part of an integrated care model, goal-concordance was sub-optimal. More comprehensive community networks and resources, enhanced pain control, and personalized care planning discussions, are recommended to better meet patients' preferences for their final place of care. Future research could similarly examine factors associated with the final place of care in patients with advanced non-cancer conditions.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 source (Gemma direct ou Codex distillé), 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 ».