Rapid redesign and implementation of new preclinic and clinic scheduled model during COVID‐19
Notice bibliographique
Résumé
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 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 | 0,007 | 0,010 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,005 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,028 | 0,009 |
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.
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 ».