Video-based interviewing in medicine: protocol for a scoping review
Notice bibliographique
Résumé
BACKGROUND: Careers in healthcare involve an extensive interview process as transitions are made from one level of training to the next. For physicians, interviews mark the gateway from entrance into medical school, acceptance into residency, fellowships, and subsequent job opportunities. Previous literature outlining the costs associated with face-to-face interviews and concerns regarding the climate crisis has triggered an interest in video-based interviews. Barriers to transitioning away from in-person interviews include concerns regarding lack of rapport between applicants and interviewers, and applicants being less able to represent themselves. In a new era ushered in by COVID where many of us have utilized virtual meetings more than any prior time both personally and for work, we wanted to consolidate the current literature on the use of video-based interviews in healthcare and summarize the findings. METHODS: A scoping review will be conducted to explore the benefits and limitations of video-based interviews for both applicants and interviewers within healthcare fields, as well as the perceived barriers associated with transitioning away from face-to-face interviews. The scoping review methodology outlined by Arksey and O'Malley will be implemented. The search strategy developed by the authors in collaboration with an academic health sciences librarian will be conducted across four electronic databases (Embase, MEDLINE, Cochrane Central, and PsycInfo) and supplemented by a review of the grey literature and reference lists of included studies. The study selection process will be documented using the PRISMA flow diagram, and reasons for exclusion following full-text review will be recorded. The extracted data will be analyzed using quantitative and qualitative analysis. DISCUSSION: Despite previous literature on the costs associated with face-to-face interviews, there has been hesitancy with transitioning to video-based interviews due to concerns of lack of rapport between applicants and interviewers, and applicants being less able to represent themselves. While these limitations have been explored in previous studies, a succinct review of the current literature to guide the effective restructuring of the interview process is lacking. With our scoping review, we hope to fill this gap in the literature to better understand barriers to transitioning from face-to-face interviews and directions for future research.
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 | 0,032 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,012 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».