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Enregistrement W2321659477 · doi:10.15766/mep_2374-8265.9128

An Introduction to the Management of Labour and Delivery - A Simulation-Based Obstetrics Workshop for Medical Students

2012· article· en· W2321659477 sur OpenAlexaff
Glenn Posner, Kerry Worth, Amy Nakajima

Notice bibliographique

RevueMedEdPORTAL · 2012
Typearticle
Langueen
DomaineMedicine
ThématiqueSimulation-Based Education in Healthcare
Établissements canadiensUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésObstetricsMedical educationObstetrics and gynaecologyMedicineComputer sciencePregnancy

Résumé

récupéré en direct d'OpenAlex

Abstract The following is a description of a simulation-based workshop for undergraduate medical students during their first week of clerkship in Obstetrics. This workshop was developed to complement the didactic lectures that medical students receive as part of their clerkship and addresses the basics of intrapartum management so that students can feel more like part of the team during their first days in the case room. There are several reasons why medical students may have limited exposure to aspects of obstetrics during their clerkship. The short duration of the rotation, the reduced availability of patients willing to have medical students observe and perform obstetrical techniques, and the potential for unpredictable, serious complications to occur in seconds are all conditions that conspire to create reduced learning opportunities for clerks. Unfortunately, it is the very same practical opportunities that medical students are excluded from that serve to increase their understanding and interest in the speciality. Given the successful implementation simulation education in residency programs, its use in undergraduate medical education may serve as a practical solution to the marginalization of medical students during their obstetrics rotation. The current curriculum was designed for a simulation-based workshop during the first week of the obstetrics clerkship to instruct students in the diagnosis of labour and gain an appreciation for the decisions that are made as part of intra-partum management. Prior to the development of this curriculum, formal teaching for clerkship students in obstetrics and gynaecology at our institution consisted solely of didactic lectures. The objective of this simulation-based innovation was to alleviate the students' anxiety at the beginning of their rotation through providing opportunities to practice clinical skills necessary for success during clerkship. Furthermore, it was thought that engaging the students early on in their clinical training could help to foster an interest in pursuing postgraduate training in obstetrics and gynecology. This workshop was developed in accordance with the educational objectives described in the US-based Association of Professors of Gynecology and Obstetrics (APGO). This simulation follows a single obstetrical patient whose clinical course is followed by the students from presentation to the obstetrical assessment unit until spontaneous vaginal delivery and immediate postpartum care. Through use of a high-fidelity mannequin, this simulation provides students the opportunity to examine the patient throughout the course of her labour to assess dilation and ultimately perform a vaginal delivery. The workshop also incorporates elements of interactive teaching and round table discussion that encourages student participation. You will find a full curriculum document which can be used as an instructors manual, as well as a pre- and post-test which can be used to assess learning during the workshop, and a hand-out for students summarizing the objectives of the session. This workshop has been in use at our institution since the 2008–2009 and has been incredibly well-received by students, as evidenced by anonymous written evaluations. Their confidence and knowledge-base during their first days on service in labour & delivery are noticeably improved, and we documented successful learning on a pre- and post-test comparison, as published in “Medical Education” in 2010.

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)0,002
score de la tête « metaresearch » (Gemma)0,002
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: Méthodes · Signal consensuel: aucune
Score de désaccord entre enseignants0,040
Score d'incertitude au seuil0,133

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0020,004
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0400,014

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 Opus0,038
Tête enseignante GPT0,397
Écart entre enseignants0,359 · 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
GenreMéthodes

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

En bref

Citations6
Publié2012
Routes d'admission1
Résumé présentoui

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