Integration and feasibility of symptom burden assessment and early palliative care into an adolescent and young adult leukemia clinic.
Notice bibliographique
Résumé
10052 Background: Patients (pts) diagnosed with hematologic malignancies during adolescence & young adulthood (AYA) are a uniquely challenging population who are understood to have robust supportive care needs. Here, we describe their symptom burdens and the feasibility of integrating palliative care into an outpatient, multi-disciplinary AYA leukemia clinic at an academic medical center. Methods: Palliative care was introduced into the AYA clinic in 8/2020 to provide symptom-focused care. Pre-existing clinic services included psychologists, pharmacists, and social workers. All established pts receiving routine follow up were referred by the oncology team to the Supportive Care team, which provided same-day palliative care consultation in the same clinic space with a telehealth option and as needed follow-up. To describe baseline symptom burdens, a random cross-sectional sample of pts completed a multi-domain symptom assessment (SA) using validated self-report instruments including physical (Edmonton Symptom Assessment Scale [ESAS]); emotional (Brief Symptom Inventory-18 [BSI-18]); financial (FACIT-COST); cognitive (Childhood Cancer Survivor Study – Neurocognitive Questionnaire); spiritual (FACIT -Spiritual Well-being Scale); and quality of life (QOL) (FACT-General) measures. All pts have a diagnosis of acute or chronic leukemia and were on active treatment or in survivorship. Results: Over 6 months, 30 pts (median age 29 years at assessment, range 18-45 years) received symptom-focused palliative care over 16 combined clinics with 81 total encounters averaging 5 pts (range 1-8) per clinic. 47% were female. No pts declined palliative care. Pts received on average 2.7 follow up visits (range 1-6), with 50% of encounters resulting in adjustments to medical management. Common issues addressed included pain, muscle cramps, neuropathy, anxiety, insomnia, depression, nausea, and non-pharmacological symptom control remedies. Of 46 pts, 31 (67%) completed the SA (median age 30 years at assessment, range 18-43 years); 48% were female; 84% were on treatment. 100% of pts reported fatigue, and 48% reported > = 1 severe symptom (range 0-7) based on the ESAS with “poor feeling of well-being” as the most common (23%). 45% met criteria for BSI-18 emotional distress, and 45% reported some neurocognitive impairment. Emotional distress (p < 0.01), financial toxicity (p = 0.03), low spiritual well-being (p < 0.01), and presence of pain, nausea, or depression (p < 0.05) were all associated with lower QOL. Conclusions: AYA pts with leukemia undergoing treatment and in survivorship experience high symptom burden with poor QOL. It is feasible to both assess symptom burden and provide early palliative care focused on symptom management in an outpatient, multi-disciplinary clinic setting.
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 | 0,002 | 0,004 |
| 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 | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».