Advance Care Planning and Decision-Making in a Home-Based Primary Care Service in a Canadian Urban Centre
Notice bibliographique
Résumé
BACKGROUND: Advance care planning (ACP) is a process that enables individuals to describe, in advance, the kind of health care they would want in the future, and has been shown to reduce hospital-based interventions at the end of life. Our goal was to describe the current state of ACP in a home-based primary care program for frail homebound older people in Vancouver, Canada. We did this by identifying four key elements that should be essential to ACP in this program: frailty stage, documentation of substitute decision-makers, and decision-making with regard to both resuscitation (i.e., do not resuscitate (DNR)) and hospitalization (i.e., do not hospitalize (DNH)). While these elements are an important part of the ACP process, they are often excluded from common practice. METHODS: This was a cross-sectional, observational study of data abstracted from 200 randomly selected patient electronic medical records between July 1 and September 30, 2017. We describe the association between demographic characteristics, comorbidities, and four key elements of ACP documentation and decision-making as documented in the clinical record using bivariate comparison, a logistic regression model and multiple logistic regression analysis. RESULTS: In 73% (n=146) of the patient records, there was no explicit documentation of frailty stage. Sixty-four per cent had documentation of a substitute decision-maker. Of those who had their preferences documented, 90.6% (n=144/159) indicated a preference for DNR, and 23.6% (n=29/123) indicated a preference for DNH. In multiple regression modeling, a diagnosis of dementia and older age were associated with documentation of a DNR preference, adjusted odds ratio (AOR) = 4.79 (95% CI 1.37, 16.71) and AOR = 1.14 (95% CI 1.05, 1.24), respectively. Older age, male sex, and English identified as the main language spoken were associated with a DNH preference. AOR = 1.17 (95% CI 1.06, 1.28), AOR = 4.19 (95% CI 1.41, 12.42), and AOR = 3.42 (95% CI 1.14, 10.20), respectively. CONCLUSIONS: Clinician documentation of some elements of ACP, such as identification of a substitute decision-maker and resuscitation status, have been widely adopted, while other elements that should be considered essential components of ACP, such as frailty staging and preferences around hospitalization, are infrequent and provide an opportunity for practice improvement initiatives. The significant association between language and ACP decisions suggests an important role for supporting cross-cultural fluency in the ACP process.
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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 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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) | 0,000 | 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 ».