Nonbeneficial Treatment Canada
Notice bibliographique
Résumé
OBJECTIVE: Many healthcare workers are concerned about the provision of nonbeneficial treatment in the acute care setting. We sought to explore the perceptions of acute care practitioners to determine whether they perceived nonbeneficial treatment to be a problem, to generate an acceptable definition of nonbeneficial treatment, to learn about their perceptions of the impact and causes of nonbeneficial treatment, and the ways that they feel could reduce or resolve nonbeneficial treatment. DESIGN: National, bilingual, cross-sectional survey of a convenience sample of nursing and medical staff who provide direct patient care in acute medical wards or ICUs in Canada. MAIN RESULTS: We received 688 responses (response rate 61%) from 11 sites. Seventy-four percent of respondents were nurses. Eighty-two percent of respondents believe that our current means of resolving nonbeneficial treatment are inadequate. The most acceptable definitions of nonbeneficial treatment were "advanced curative/life-prolonging treatments that would almost certainly result in a quality of life that the patient has previously stated that he/she would not want" (88% agreement) and "advanced curative/life-prolonging treatments that are not consistent with the goals of care (as indicated by the patient)" (83% agreement). Respondents most commonly believed that nonbeneficial treatment was caused by substitute decision makers who do not understand the limitations of treatment, or who cannot accept a poor prognosis (90% agreement for each cause), and 52% believed that nonbeneficial treatment was "often" or "always" continued until the patient died or was discharged from hospital. Respondents believed that nonbeneficial treatment was a common problem with a negative impact on all stakeholders (> 80%) and perceived that improved advance care planning and communication training would be the most effective (92% and 88%, respectively) and morally acceptable (95% and 92%, respectively) means to resolve the problem of nonbeneficial treatment. CONCLUSIONS: Canadian nurses and physicians perceive that our current means of resolving nonbeneficial treatment are inadequate, and that we need to adopt new techniques of resolving nonbeneficial treatment. The most promising strategies to reduce nonbeneficial treatment are felt to be improved advance care planning and communication training for healthcare professionals.
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 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) | 0,000 | 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 ».