Repercussions of the COVID-19 pandemic on the well-being and training of medical clerks: a pan-Canadian survey
Notice bibliographique
Résumé
BACKGROUND: The COVID-19 pandemic has been an unprecedented and potentially stressful event that inserted itself into the 2019-2020 Canadian medical curriculum. However, its impact on stress and subsequent professional pathways is not well understood. This study aims to assess the impact of the COVID-19 pandemic on the mental well-being, training, and career choices of Canadian medical clerks within the first three months of the pandemic. It also aims to assess their use of university support systems and their appreciation of potential solutions to common academic stressors. METHODS: An electronic survey composed of four sections: demographics, stressors experienced during the pandemic, World Health Organization (WHO) well-being index, and stress management and resources was distributed to Canadian clerks. RESULTS: Clerks from 10 of the 17 Canadian medical faculties participated in this study (n = 627). Forty-five percent of clerks reported higher levels of stress than usual; 22% reconsidered their residency choice; and 19% reconsidered medicine as a career. The factors that were most stressful among clerks were: the means of return to rotations; decreased opportunities to be productive in view of residency match; and taking the national licensing exam after the beginning of residency. The mean WHO well-being index was 14.8/25 ± 4.5, indicating a poor level of well-being among a considerable proportion of students. Clerks who reconsidered their residency choice or medicine as a career had lower mean WHO well-being indices. Most clerks agreed with the following suggested solutions: training sessions on the clinical management of COVID-19 cases; being allowed to submit fewer reference letters when applying to residency; and having protected time to study for their licensing exam during residency. Overall, clerks were less concerned with being infected during their rotations than with the impact of the pandemic on their future career and residency match. CONCLUSION: The COVID-19 pandemic had a considerable impact on the medical curriculum and well-being of clerks. A number of student-identified solutions were proposed to reduce stress. The implementation of these solutions throughout the Canadian medical training system should be considered.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».