Advocacy Curricula in Graduate Medical Education: an Updated Systematic Review from 2017 to 2022
Notice bibliographique
Résumé
BACKGROUND: Advocacy is an integral component of a physician's professional responsibilities, yet efforts to teach advocacy skills in a systematic and comprehensive manner have been inconsistent and challenging. There is currently no consensus on the tools and content that should be included in advocacy curricula for graduate medical trainees. OBJECTIVE: To conduct a systematic review of recently published GME advocacy curricula and delineate foundational concepts and topics in advocacy education that are pertinent to trainees across specialties and career paths. METHODS: We conducted an updated systematic review based off Howell et al. (J Gen Intern Med 34(11):2592-2601, 2019) to identify articles published between September 2017 and March 2022 that described GME advocacy curricula developed in the USA and Canada. Searches of grey literature were used to find citations potentially missed by the search strategy. Articles were independently reviewed by two authors to identify those meeting our inclusion and exclusion criteria; a third author resolved discrepancies. Three reviewers used a web-based interface to extract curricular details from the final selection of articles. Two reviewers conducted a detailed analysis of recurring themes in curricular design and implementation. RESULTS: Of 867 articles reviewed, 26 articles, describing 31 unique curricula, met inclusion and exclusion criteria. The majority (84%) represented Internal Medicine, Family Medicine, Pediatrics, and Psychiatry programs. The most common learning methods included experiential learning, didactics, and project-based work. Most covered community partnerships (58%) and legislative advocacy (58%) as advocacy tools and social determinants of health (58%) as an educational topic. Evaluation results were inconsistently reported. Analysis of recurring themes showed that advocacy curricula benefit from an overarching culture supportive of advocacy education and should ideally be learner-centric, educator-friendly, and action-oriented. DISCUSSION: Combining core features of advocacy curricula identified in prior publications with our findings, we propose an integrative framework to guide design and implementation of advocacy curricula for GME trainees. Additional research is needed to build expert consensus and ultimately develop model curricula for disseminated use.
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 | 0,006 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,006 | 0,000 |
| Bibliométrie | 0,001 | 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 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,001 |
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 ».