Hope and advance care planning in advanced cancer: Is there a relationship?
Notice bibliographique
Résumé
BACKGROUND: Clinicians often cite a fear of giving up hope as a reason they defer advance care planning (ACP) among patients with advanced cancer. The objective of this study was to determine whether engagement in ACP affects hope in these patients. METHODS: This was a secondary analysis of a randomized controlled trial of primary palliative care in advanced cancer. Patients who had not completed ACP at baseline were included in the analysis. ACP was assessed in the forms of an end-of-life (EOL) conversation with one's oncologist and completion of a living will or advance directive (AD). Measurements were obtained at baseline and at 3 months. Hope was measured using the Herth Hope Index (HHI) (range, 12-48; higher scores indicate higher hope). Multivariate regression was performed to assess associations between ACP and hope, controlling for baseline HHI score, study randomization, patient age, religious importance, education, marital status, socioeconomic status, time since cancer diagnosis, pain/symptom burden (Edmonton Symptom Assessment System), and anxiety/depression score (Hospital Anxiety and Depression Scale)-all variables known to be associated with ACP and/or hope. RESULTS: In total, 672 patients with advanced cancer were enrolled in the overall study. The mean age was 69 ± 10 years, and the most common cancer types were lung cancer (36%), gastrointestinal cancer (20%) and breast/gynecologic cancers (16%). In this group, 378 patients (56%) had not had an EOL conversation at baseline, of whom 111 of 378 (29%) reported having an EOL conversation by 3 months. Hope was not different between patients who did or did not have an EOL conversation over the study period (mean ± standard deviation ∆HHI, 0.20 ± 5.32 vs -0.53 ± 3.80, respectively; P = .136). After multivariable adjustment, hope was significantly increased in patients who had engaged in an EOL conversation (adjusted mean difference in ∆HHI, 0.95; 95% CI, 0.08-1.82; P = .032). Similarly, of 216 patients (32%) without an AD at baseline, 67 (31%) had subsequently completed an AD. Unadjusted hope was not different between those who did and did not complete an AD (∆HHI, 0.20 ± 3.89 vs -0.91 ± 4.50, respectively; P = .085). After adjustment, hope was significantly higher in those who completed an AD (adjusted mean difference in ∆HHI, 1.31; 95% CI, 0.13-2.49; P = .030). CONCLUSIONS: The current results demonstrate that hope is not decreased after engagement in ACP and indeed may be increased. These findings may provide reassurance to clinicians who are apprehensive about having these important and difficult conversations. LAY SUMMARY: Many oncologists defer advance care planning (ACP) out of concern for giving up hope. This study demonstrates that hope is not decreased in patients who have engaged in ACP either as a conversation with their oncologists or by completing an advance directive. With this information, providers may feel more comfortable having these important conversations with their patients.
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 | 0,000 |
| 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 ».