Developing competencies in public health: a scoping review of the literature on developing competency frameworks and student and workforce development
Notice bibliographique
Résumé
Effective and precise public health practice relies on a skilled and interdisciplinary workforce equipped with integrated knowledge, values, skills, and behaviors as defined by competency frameworks. Competency frameworks inform academic and professional development training, support performance evaluation, and identify professional development needs. The aim of this research was to systematically identify and examine trends in the extent, nature, and range of the literature related to developing competencies in public health. This includes developing public health competency frameworks, and how competencies are developed and maintained in students and practitioners. We used a scoping review methodology to systematically identify and report on trends in the literature. Two independent reviewers conducted title and abstract and full-text screening to assess the literature for relevance. Articles were included if they were original primary research or gray literature and published in English. No date or geographic restrictions were applied. Articles were included if they focused on developing competency statements or frameworks for public health and/or training public health students or practitioners to develop competencies. The review encompassed a range of methods and target populations, with an emphasis on building competencies through student and professional development. Foundational competency development was a primary focus, and we found a gap in discipline-specific competency research, especially within developing discipline-specific competency statements and frameworks. Several evidence-based practices for competency development were highlighted, including the importance of governance and resources to oversee competency framework development and implementation, and workforce planning. Experiential learning and competency-based training were commonly identified as best practices for building competencies. A comprehensive understanding of public health competency development-through developing and incorporating foundational and discipline-specific competencies, mapping student and practitioner training to competency frameworks, and incorporating best practices-will enable public health to create skills and an adaptable workforce capable of addressing complex public health issues.
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 | 0,013 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,000 |
| Bibliométrie | 0,002 | 0,005 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,006 |
| 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 ».