The Reported Evidence of Nursing and Midwifery Mentorship Programmes Internationally: A Scoping Meta‐Review Providing a Comprehensive Overview of Mentorship Programmes
Notice bibliographique
Résumé
AIM: To synthesise and critically analyse existing reviews of evidence on mentorship in nursing and midwifery, providing a comprehensive overview of current knowledge. DESIGN: A scoping meta-review. METHODS: The review was conducted using the scoping meta-review framework outlined by Sarrami-Foroushani et al. (2015), alongside the Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines to ensure rigour and transparency. The following steps were included: (i) defining the problem, (ii) literature search and criteria, (iii) study selection and data extraction, (iv) data synthesis, (v) presentation of results and (vi) interpretation and recommendations. DATA SOURCES: A comprehensive search strategy was designed, utilising Boolean operators, truncation and predefined keywords across seven databases including MEDLINE, CINAHL, Embase, PsycINFO, Epistemonikos, ERIC and Google Scholar. RESULTS: Following double-blind screening of 269 papers, 14 literature reviews were included. The findings provided a detailed overview of mentorship programme types (formal and informal), outcome measures used to evaluate mentorship effectiveness and recommendations for future programmes. Identified themes included skill development, job satisfaction, career progression and retention outcomes, together with challenges including time constraints and balancing clinical responsibilities with mentorship roles. Formal mentorship programmes that are adequately supported and integrated into the organisational culture can improve healthcare systems, workforce stability and patient outcomes. Informal mentorship continues to offer valuable, flexible support, particularly when used alongside formal structures. Implementation challenges exist, such as time constraints, limited organisational support, and mismatched mentor-mentee pairings. CONCLUSION: This review highlights the critical role of mentorship in nursing and midwifery, offering insights into effective practices, challenges and potential areas for further research. The findings suggest that formal, structured mentorship programmes produce consistent benefits, including enhanced clinical skills, confidence and satisfaction among mentees, as well as leadership development and professional fulfilment for mentors, while positively impacting organisational efficiency and patient outcomes. Successful mentorship programmes require organisational commitment, with protected time, resources, and ongoing mentor training. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Mentorship programmes in nursing and midwifery enhance professional development, job satisfaction, and retention, enabling a stable healthcare workforce. Mentorship for mentors and mentees is linked to increased confidence, competency and readiness for advanced roles among nurses and midwives. Fostering mentorship in healthcare can lead to improved quality and continuity of care as mentees grow into more competent and confident practitioners. IMPACT: Formal mentorship programmes that are adequately supported and integrated into the organisational culture can improve healthcare systems, workforce stability and patient outcomes. Policymakers responsible for healthcare workforce development can use these findings to advocate for mentorship as a strategic investment, potentially influencing policies related to nurse retention, professional development and funding allocations for mentorship initiatives. Structured mentorship improves job satisfaction, reduces turnover and fosters professional growth, thus reducing costs associated with recruitment and training. REPORTING METHOD: The findings are reported in line with the PRISMA guidelines (Page et al., 2021) and through a narrative synthesis, summarising and analysing the results of various reviews to present a cohesive understanding of mentorship practices in nursing and midwifery. This method allowed for the integration of qualitative and quantitative findings and the identification of common themes and patterns across studies. PATIENT OR PUBLIC CONTRIBUTION: Patients or members of the public did not directly contribute to this review. However, by focusing on mentorship practices that support nurses and midwives, the study indirectly addresses public interests, as improved mentoring contributes to the quality of patient care. Future studies could benefit from patient or public feedback on desired qualities in care providers, further informing the development of mentorship programmes aligned with patient-centred care outcomes.
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 | 0,004 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 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 ».