Family-Led Coaching of Patients During Weaning From Sedation and Mechanical Ventilation in the ICU
Notice bibliographique
Résumé
Background: ICU patients are weaned from sedation and mechanical ventilation through spontaneous awakening trials (SATs) and spontaneous breathing trials (SBTs). Weaning can be distressing for patients and their families. Family-led coaching could reassure patients and reduce stress for families by engaging them in patient care. This study developed and piloted a family-led coaching tool to support patients undergoing SATs/SBTs. Methods: Patient and family member dyads were recruited from 2 medical-surgical ICUs in Calgary, Canada (February 3–August 1, 2023). Surveys were administered to collect family (1) demographics, (2) anxiety and satisfaction with ICU care, (3) feedback on the tool, and (4) attitudes about family presence during SATs/SBTs (also collected from clinicians). Tool feasibility was determined by calculating the proportions of (1) eligible patients who were recommended for participation in the study by clinicians and (2) families approached who consented to participate in the study. Results: One thousand one hundred fifty patients were admitted to the study ICUs during the study period of which 819 received mechanical ventilation, and 42 were recommended by bedside clinicians for participation in the study. Twenty-five dyads were approached, 21 dyads consented to participate, and one withdrew consent before data collection. Of the enrolled families, 12 (60%) reported the coaching tool to be useful, and 5 (25%) recommended minor suggestions such as “shortening” the tool. Fourteen (70%) families reported positive experiences (through open-ended feedback) with being present for the SAT/SBT. State-Trait Anxiety Inventory (Y1) scores (scale range 20–80 points) significantly decreased in families from the first (pre coaching) to the second (post coaching) measures (mean decrease 8.2 points, SD 10.3, P = .001). All clinicians indicated they were comfortable with family presence and/or coaching during SATs/SBTs. Conclusion: Family-led coaching of patients during SATs/SBTs appears to be feasible, favorably perceived by families and clinicians, and potentially associated with lower family anxiety.
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 | 0,001 |
| 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) | 0,000 | 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 ».