(The shift to) online delivery of a rural faculty development program in research skills: lessons learned
Notice bibliographique
Résumé
BACKGROUND: While rural physicians are the ideal candidates to investigate health and healthcare issues in rural communities, they often lack the required skills, competencies, and resources. As a result, research skills development programs are crucial to help ensure communities receive the quality of care they deserve. Memorial University of Newfoundland created a research skills development program called 6for6 to empower and enable rural physicians to research solutions to community-specific health needs. 6for6 program delivery was exclusively in-person until 2019. However, with limitations introduced due to the COVID-19 pandemic, organizations around the globe needed to respond quickly. As we work to return to a post-pandemic environment, program administrators and educators worldwide are unsure whether to retain or remove the changes made to programs to adapt to the pandemic restrictions. Therefore, this work addresses the impact of the online delivery model in two areas: 1) attainment of competencies (specifically research skills, knowledge, and attitudes); and 2) participant experiences, defined as the ease of attendance, the capacity to interact with team members and peers, and challenges or barriers associated with navigating program resources. METHODS: We compared the effect of an online delivery model pivoted to adapt pandemic restrictions with the original model (primarily face-to-face) on the acquisition of learning competencies and participant experience using a mixed-methods study. Various data collection methods, such as a pre-post program survey, post-program focus group, and structured observation, were utilized. RESULTS: From 2014 to 2021, 35 physicians attended the program (30 face-to-face and five online). The Wilcoxon-sign-rank test did not show any significant differences in the participants' median change of research competency scores who attended face-to-face and online learning, respectively: knowledge (32.6, 26.8), attitudes (3.8, 3.5), and skills (32.4, 20.0). Flexibility and accessibility were key aspects of participants' experiences during the online model. Comparison with previous years demonstrated no significant challenges with the virtual delivery model, yet participants struggled with mentorship challenges and learning-life balance. CONCLUSIONS: Although presenting some unique challenges, the online model did not negatively affect learner competencies. Likewise, it provided opportunities for rural physicians to attend learning sessions and interact with experts and peers while remaining in their communities.
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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,002 |
| 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 ».