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Enregistrement W3132327867 · doi:10.1002/jdd.12583

Rapid redesign and implementation of new preclinic and clinic scheduled model during COVID‐19

2021· article· en· W3132327867 sur OpenAlexaff
Michelle F. Siqueira, Douglas J. Brothwell, Alan Heinrichs, Walter L. Siqueira

Notice bibliographique

RevueJournal of Dental Education · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueSARS-CoV-2 and COVID-19 Research
Établissements canadiensUniversity of Saskatchewan
Organismes subventionnairesnon disponible
Mots-clésCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakMEDLINEMedical educationMedicineComputer sciencePsychologyVirologyPolitical science

Résumé

récupéré en direct d'OpenAlex

The College of Dentistry's DMD program must meet national standards for accreditation and its academic programming is structured to meet these standards. The COVID-19 pandemic required the college to rethink its academic schedule and devise an approach that simultaneously maintained academic programming requirements and minimized COVID-19-related risks from in-person activities for students and instructors. Before the COVID-19 pandemic, the college traditionally provided two daily clinic and/or preclinic sessions in the morning (9–11:30 AM) and in the afternoon (1:30–4:30 PM), and didactic lectures were typically taught in-person for about 1 h before, in between, and/or after those sessions. Students also had access to 1 h lunch break. This schedule required students to spend a large portion of their day in-person at the college. In devising the new schedule, various constraints needed to be considered, including the specific technical requirements students needed to accomplish during preclinical/clinical activities, restricted access to college spaces for students before/after hands-on activities due to COVID-19, as well as logistical constraints to avoid students commuting to campus multiple times a day (eliminating unnecessary stress from traffic, parking, or bus delay). The college's solution was to shift to remote lectures and modify the clinic and preclinic session times into a compressed single session held back-to-back (8:30–2:30 PM) with only a small mid-session break. Students were asked to leave campus as soon as the compressed session came to an end. Synchronous remote lectures were all rescheduled to occur later in the afternoon and start times took into consideration student travel time from the college to their homes. Pre-recorded lectures were also available in some disciplines to be watched at any desired time. A total of 67.5% of students reported being either satisfied or very satisfied with the new preclinic/clinic scheduling model (Figure 1). Also, 66.3% of students reported this model provided more time in the evening to study and for personal activities (Figure 2). Instructors did not report a decline in the quality of dental work provided by the students, and there was not an increase in repeated treatment due to poor quality. However, some challenges were encountered, especially early in the term, with regard to time management. Students were required to complete treatment, be evaluated, and follow a lengthy cleaning and disinfection protocol in a shorter time compared to pre-pandemic, where clinic and preclinic sessions were longer and there was less pressure to adhere to strict clinic end times. Over time, slight modifications to our clinical protocols were made without any prejudice to patient treatment to allow more time-efficient clinical sessions; for example, when students confirm patient appointments by phone, they now also complete health screening with the patient and update the patient's chart remotely, allowing extra time at the in-person appointment for actual treatment.1, 2 During that phone call, students also ask COVID-19 screening questions and advise patients about current College of Dentistry COVID-19 protocols.3 Given the success, this model might endure even after the COVID-19 pandemic concludes, with a whole new generation of dentistry students trained in this new time-efficient clinical and preclinical model. The silver lining is that these compressed clinical/preclinical sessions have not impacted the quality of patient care, and students are cultivating efficient work habits that will be valuable in the private practice setting following graduation.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,010
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,028
Score d'incertitude au seuil0,095

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,010
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0020,001
Communication savante0,0030,002
Science ouverte0,0050,003
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0280,009

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.

Tête enseignante Opus0,091
Tête enseignante GPT0,467
Écart entre enseignants0,376 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2021
Routes d'admission1
Résumé présentoui

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