Titre :

Evaluating script concordance tests (SCTs) through the lens of Bayesian reasoning: Enhancing assessment in medical education.

Auteur(s) :

Dauchet, Luc [Auteur]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Bentegeac, Raphael [Auteur]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Ghauss, H. [Auteur]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Hazzan, Marc [Auteur]
Lille Inflammation Research International Center - U 995 [LIRIC]
Truffert, Patrick [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Amouyel, Philippe [Auteur]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Gauthier, Victoria [Auteur]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Hamroun, Aghiles [Auteur]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]

Titre de la revue :

Journal of Epidemiology and Population Health
J Epidemiol Popul Health

Pagination :

202804

Éditeur :

Elsevier Masson SAS

Date de publication :

2025-01-26

ISSN :

2950-4333

Mot(s)-clé(s) en anglais :

Bayesian reasoning
Clinical reasoning
Probabilistic reasoning
SCT
Script concordance test.

Discipline(s) HAL :

Sciences du Vivant [q-bio]

Résumé en anglais : [en]

Background: Script Concordance Tests (SCTs) represent an innovative assessment method which have been introduced in the 2024 French National Ranking Examinations (EDN). These tests compare a student's clinical reasoning ...
Lire la suite >Background: Script Concordance Tests (SCTs) represent an innovative assessment method which have been introduced in the 2024 French National Ranking Examinations (EDN). These tests compare a student's clinical reasoning with that of a panel of experts under conditions of uncertainty. Typically, the question involves the impact of new information on an initially proposed hypothesis, with answers given on a Likert scale.Main findings: This article aims to didactically illustrate how SCTs are consistent with probabilistic reasoning as modeled by Bayes' theorem. In addition, by comparing SCT writing guidelines with Bayesian reasoning concepts, several ambiguities were identified: (1) What stage of clinical reasoning do SCTs evaluate? (2) What are the appropriate labels for Likert scale responses? (3) Does the expert panel provide a relevant reference for SCTs?Conclusions: Currently, many of these questions remain unanswered in the literature, with recent data suggesting that experienced physicians' responses to SCTs are often biased. Beyond their use as an assessment tool in the EDN, SCTs offer a valuable opportunity to develop and deepen the teaching of probabilistic reasoning in medical education and serve as a potential area of research to improve clinical practice.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement (RID-AGE) - U1167

Source :

Harvested from HAL

Date de dépôt :

2025-02-20T05:03:55Z