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Enregistrement W4405042793 · doi:10.1182/blood-2024-209158

Using the Serious Illness Conversation Guide (SICG) in Patients with Hematological Malignancies As a Tool to Address Their Perspectives on Palliative Care

2024· article· en· W4405042793 sur OpenAlexaffabout
Chantal Cassis, Victoria Korsos, Saima Ahmed, Vasiliki Bitzas, Sheena Heslip, Sarah Matarasso Greenfeld, Rayan Kaedbey, Sarit Assouline

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiquePalliative Care and End-of-Life Issues
Établissements canadiensMcGill UniversityJewish General Hospital
Organismes subventionnairesnon disponible
Mots-clésConversationPalliative careMedicineIntensive care medicineHematologic NeoplasmsAdvance care planningTerminally illInternal medicinePsychologyNursingCancer

Résumé

récupéré en direct d'OpenAlex

Introduction Early involvement by palliative care (PC) has been shown to positively affect the physical and psychological wellbeing of patients with hematological malignancies. Despite this knowledge, PC involvement is rare in this patient population and if present, often occurs too late. Many barriers to the integration of palliative care have been proposed in the literature, including illness-specific, cultural and systems barriers. Moving knowledge into practice is a complex process dependent on many variables. The field of knowledge translation (KT) makes use of conceptual frameworks to better understand the influence and relationship between these variables to improve the implementation of knowledge into practice. Understanding key stakeholder's, which include hematologists and patients, is an important step in KT. Many studies address physician's perspective, but a rare few have explored patient perspectives on palliative care. Methods We are conducting a prospective, mixed method, study assessing the Serious Illness Conversation Guide (SICG) in patients with blood cancers identified at risk of dying in the next 12 months . The study was conducted at a university-affiliated tertiary cancer center (Segal Cancer Center in Montreal Canada). 12 patients agreed to participate in the completed qualitative component of the study which involved face to face, semi-structured interviews two to four weeks following administration of the SICG. Interviews were conducted individually, audio-recorded, transcribed verbatim, and analyzed by three reviewers using thematic analysis. Results Participants (n=12) had a mean age of 68 [42-84]; 66.7% (n = 8) identified as male and 33.3% (n = 4) as female; 75% (n = 9) were Caucasian, 16.7% (n = 2) North African and 8.3% (n = 1) Black; 50% (n = 6) had acute leukemia, 25% (n = 3) lymphoma/CLL, 16.7% ( n = 2) MDS and 8.3% (n = 1) multiple myeloma. Themes identified relating to PC were: 1) thoughts on mortality 2) perspectives on palliative care, 3) perspectives on medical aid in dying (MAID) and 4) fear of abandonment. Most patients have thought of their death and seem aware of their unpredictable prognosis. What scared them most, even those that have accepted their mortality, is not the fact that they will die but the fear of not knowing how they will die (symptoms, pain, suffering). None of the patients expressing this fear addressed it with either their hematologist or PC provider. Interestingly, patients expressed the need for their treating physician to validate their impending death. Misconceptions relating to PC were common. One patient described it as “quiet euthanasia”. There were many negative associations to PC including associations with imminent death, suffering and loss of quality of life. The few patients who had positive opinions of PC had previous direct or indirect contact with PC. MAID was seen more positively than PC. It was described, especially by those with misconceptions of PC, as a more preferable way to die associated with less suffering. Finally, patients expressed the desire to not be abandoned by their hematologist if PC was involved. Conclusion The SICG facilitated the discussion of difficult topics such as death and PC. The insight gained in understanding patient's perspectives on mortality and PC will help address the barriers identified and develop effective interventions to facilitate the early involvement of PC in the care of patients with hematologic malignancies and hopefully bridge the KT gap.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,030

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,013
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,002
Communication savante0,0020,001
Science ouverte0,0010,003
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,062
Tête enseignante GPT0,367
Écart entre enseignants0,304 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission2
Résumé présentoui

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