Development of a competency framework for advanced practice nurses: A co‐design process
Notice bibliographique
Résumé
AIMS: The aim of the study was to develop a comprehensive competency framework for advanced practice nurses in Belgium. DESIGN: A co-design development process was conducted. METHODS: This study consisted of two consecutive stages (November 2020-December 2021): (1) developing a competency framework for advanced practice nurses in Belgium by the research team, based on literature and (2) group discussions or interviews with and written feedback from key stakeholders. 11 group discussions and seven individual interviews were conducted with various stakeholder groups with a total of 117 participants. RESULTS: A comprehensive competency framework containing 31 key competencies and 120 enabling competencies was developed based on the Canadian Medical Education Directions for Specialists Competency Framework. These competencies were grouped into seven roles: clinical expert and therapist, organizer of quality care and leader in innovation, professional and clinical leader, collaborator, researcher, communicator and health promoter. CONCLUSION: The developed competency framework has resemblance to other international frameworks. This framework emphasized the independent role of the advanced practice nurse and provided guidance in a clear task division and delegation to other professionals. It can provide a solid foundation for delivering high-quality, patient-centred care by advanced practice nurses in the years to come. IMPLICATIONS FOR THE PROFESSION: This competency framework can guide further development of advanced practice nursing education in Belgium and represents a starting point for future evaluation of its feasibility and usability in education and clinical practice. Advanced practice nurses and healthcare managers can also use the framework as an instrument for personal and professional development, performance appraisal, and further alignment of these function profiles in clinical practice. Finally, this framework can inform and guide policymakers towards legal recognition of advanced practice nursing in Belgium and inspire the development of advanced practice nursing profiles in countries where these profiles are still emerging. IMPACT: What problem did the study address? The absence of a detailed competency framework for advanced practice nurses complicates legal recognition, role clarification and implementation in practice in Belgium. A rigorously developed competency framework could clarify which competencies to integrate in future advanced practice nursing education, mentorship programs and practice. What were the main findings? The competency framework outlined seven roles for advanced practice nurses: clinical expert and therapist, organizer of quality care and leader in innovation, professional and clinical leader, collaborator, researcher, communicator, and health promoter. Differentiation from other expert nursing profiles and clinical autonomy of advanced practice nurses were pivotal. Where and on whom will the research have impact? The comprehensive competency framework for advanced practice nurses and the collaborative methodology used can inspire other countries where these profiles are still emerging. The competency framework can be used as an instrument for role clarification, performance appraisals, continuous professional development, and professional (e-)portfolios. The competency framework can guide policymakers when establishing Belgian's legal framework for advanced practice nurses. REPORTING METHOD: The authors have adhered to CONFERD-HP: recommendations for reporting COmpeteNcy FramEwoRk Development in health professions. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution in the design of the study. A patient advisory panel commented on the developed competency framework.
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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 | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| 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 ».