Role of clinical pharmacist in the palliative care of adults and elderly patients with cancer: A scoping review
Notice bibliographique
Résumé
OBJECTIVE: We conducted this scoping review to map and summarize scientific evidence on the role of clinical pharmacists in the palliative care of adults and elderly patients with cancer. DATA SOURCES: A literature search was performed in MEDLINE, PubMed Central, Embase, Web of Science, Scopus, and BVS/BIREME for studies published until November 22nd, 2020. Studies that reported work experiences adopted by clinical pharmacists in the palliative care of adults and elderly patients with cancer were included. Two independent authors performed study selection and data extraction. Any disagreements were resolved by discussion with the third and fourth authors. The pharmacist interventions identified in the included studies were described based on key domains in the DEPICT v.2. DATA SUMMARY: A total of 586 records were identified, of which 14 studies fully met the eligibility criteria. Most of them were conducted in the United States of America (n = 5) and Canada (n = 5) and described the workplace of the pharmacist in clinic/ambulatory (n = 10). Clinical pharmacists performed several activities and provided services, highlighting medication review (n = 12), patient and caregivers education (n = 12), medication histories and-or medication reconciliation (n = 6). The pharmacist interventions were mostly conducted for patients/caregivers (n = 13), by one-on-one contact (n = 14), and by face-to-face (n = 13). Pharmacists were responsible mainly for change or suggestion for change in therapy (n = 12) and patient counselling (n = 12). Pharmacist interventions were well accepted by the clinical team. Overall, studies showed that pharmacists, within an interdisciplinary team, had significant impacts on measured outcomes. CONCLUSIONS: In recent years, there have been advances in the role of the pharmacist in palliative care of patients with cancer and there are great opportunities in this field. They play an important role in managing cancer pain and other symptoms, as well as resolving drug related problems. We encourage more research to be carried out to strengthen this field and to benefit patients with advanced cancer with higher quality of life.
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 | 0,004 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,004 | 0,001 |
| Bibliométrie | 0,000 | 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 | 0,003 |
| 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 ».