Safewards in acute medical/surgical care wards: Capability, Opportunity, Motivation and Behaviour model and Theoretical Domains Framework analysis
Notice bibliographique
Résumé
BACKGROUND: Safewards is an evidence-based practice improvement model to minimise conflict in inpatient mental health units. There is limited published research on implementing Safewards in acute medical/surgical care wards. OBJECTIVE: To identify, from nurses' perspectives, barriers, and facilitators to implement four Safewards interventions in acute medical/surgical care wards. METHODS: This article reports qualitative findings from a funded mixed-method evaluation of the Safewards Acute Care Pilot Project. Six focus group interviews comprising 35 nursing staff from four hospitals in Victoria, Australia were completed between April and October 2022. The semi-structured interview guide included questions developed using the Capability, Opportunity, Motivation and Behaviour model. Data was thematically analysed and mapped to a matrix combining Capability, Opportunity, Motivation and Behaviour model and the Theoretical Domains Framework to elucidate barriers and facilitators to implementing four Safewards interventions in acute medical/surgical care wards. RESULTS: Three components in the Capability, Opportunity, Motivation and Behaviour model and three Theoretical Domains Framework domains were identified as barriers to the adoption of Safewards in acute medical/surgical care wards. Specific barriers included physical opportunity challenges related to the environmental context and resources domains. The key themes included time constraints and competing priorities; lack of physical space and infrastructure; and poor patient uptake due to lack of understanding. Gaps emerged as a psychological capability barrier within the Theoretical Domains Framework knowledge domain. Additionally, resistance to practice changes was associated with the motivation component of the Capability, Opportunity, Motivation and Behaviour model. Conversely, six TDF domains were relevant to facilitating the implementation of the Safewards interventions: memory, attention, and decision processes; physical skills; social influences; social/professional role and identity; goals; and beliefs about consequences. Key facilitators included the Safewards interventions serving as reminders to focus on compassionate nursing care; nursing staff possessing the skillset for interventions; peer pressure and mandated change; supportive and passionate leadership; presence of champions to drive momentum; belief in nursing staff ownership and expertise for leading implementation; personal commitment to improve work environments and care quality; and the belief that Safewards would improve ward culture. CONCLUSIONS: Addressing barriers and leveraging facilitators can inform strategies for enhancing staff capability to implement Safewards in acute care wards. Specifically, a tailored, multilayered approach focusing on leadership support, training, resources, patient input, and feedback can promote effective adoption of the Safewards model and adaptation of discrete interventions. TWEETABLE ABSTRACT: Safewards adaptation: Addressing barriers like resources, space, and patient awareness; leveraging peer modelling and leadership strategies for success.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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.
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