How Does the Proportion of Child-Specific Content of Pre-Registration Nursing Programmes in Higher Education Institutions Impact Upon Newly Qualified Registered Nurses’ Perceptions of Preparedness to Care for Children, Young People, and Their Families? A Narrative Review Protocol
Notice bibliographique
Résumé
This paper presents a narrative review protocol to explore how the proportion of child-specific content of pre-registration programmes in universities impact upon newly qualified nurses' perceptions of preparedness to care for children, young people (CYP), and their families. The preparation and education to become a nurse who cares for children and young people differs from country to country. Providers of pre-registration nurse education offer routes into nursing from diploma to degree and in some countries post-graduate routes. The United Kingdom offers pre-registration programmes leading to qualifying as a children's nurse whereas programmes in countries such as the USA and Canada lead to a professional registration as a registered nurse with postgraduate study to specialize in areas such as pediatrics. The role of pre-registration nursing programmes is to facilitate preparedness for practice. Preparation for practice can include theoretical teaching and practice learning through simulation and face-to-face experience with countries requiring different numbers of practice hours to be completed. Although practice hours are central to nursing education, there is limited evidence on the impact and portion of child-specific content, including clinical learning in preparation of newly qualified nurses to care for CYP and their families. A preliminary search of Prospero, CINAHL, Medline and Cochrane Database indicates that there are no current or in progress reviews identified. The Population of interest, Exposure of interest, and Outcome framework were used to define the research question and inform the eligibility criteria. The review will consider different research designs if related to the research question. The search strategy will conform to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines for systematic reviews. Two independent reviewers will be involved in the screening progress to determine the final studies for inclusion. Eligible studies will be assessed for methodological quality using the Joanna Briggs Institute critical appraisal tools. Extraction of study characteristics and data related to the research question will be extracted into a predefined table. Data synthesis will be conducted using a descriptive analytical approach to summarize extracted data.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| 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 | 0,001 |
| 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.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».