146 Undergraduate nursing students’ experiences with supporting patients with difficult health decisions
Notice bibliographique
Résumé
<h3>Introduction</h3> There are few opportunities in undergraduate nursing curriculum for students to acquire knowledge and skills in shared decision-making (SDM). Through a theory-based learning assignment, we aimed to explore how undergraduate nursing students understand and participate in SDM in their clinical placements. <h3>Methods</h3> Descriptive analysis of an undergraduate nursing learning assignment. Upon completion of the Ottawa Decision Support Tutorial, undergraduate nursing students posted a virtual reflective note about a clinical experience in which they were involved in a patient’s difficult health decision. From these reflections, we inductively identified decisional needs, interventions, and outcomes, then mapped them onto the Ottawa Decision Support Framework (ODSF). We used content analysis to synthesize the factors influencing nursing students’ participation in SDM. <h3>Results</h3> Preliminary results from 34 reflective notes showed that nursing students are most often involved in difficult medical/surgical and end-of-life decisions with their patients. Frequent decisional needs included inadequate knowledge (n=21;61.8%), and complex decisional characteristics (n=20;58.8%). Sixteen (47.1%) students raised personal and clinical characteristics as decisional needs;12 of which (75%) did not explicitly identify them as decisional needs. Decision aids were the most cited intervention (n=27;79.4%). Quality decision was commonly defined as values-based and informed, yet being informed was prioritized over personal values. Factors influencing nursing student participation in SDM included decision support knowledge, interpersonal skills, ensuring accessibility of decision aids for diverse populations (e.g., cultures), and within specific contexts (e.g., end-of-life). <h3>Discussion</h3> As health systems are increasingly seeking ways to engage patients/families in decision- making, every effort should be made to equip future nurses with decision support knowledge, skills, and resources to support its integration into practice. <h3>Conclusion</h3> A theory-based learning assignment permitted undergraduate nursing students to identify difficult health decisions, decisional needs, interventions to overcome them, and outcomes. Greater curricular focus is required to prepare nursing students for SDM.
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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 | 0,001 | 0,000 |
| 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 ».