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Record W2981476995 · doi:10.4212/cjhp.v72i5.2933

Utilisation des jeux d’évasion en santé : une revue de littérature

2019· article· fr· W2981476995 on OpenAlexaffvenue
Amélie Chabrier, Suzanne Atkinson, Pascal Bonnabry, Jean‐François Bussières

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2019
Typearticle
Languagefr
FieldPsychology
TopicEducational Games and Gamification
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

RÉSUMÉContexte : Il existe différentes stratégies pédagogiques permettant l’apprentissage, tant en milieu universitaire qu’en milieu professionnel. Parmi toutes ces stratégies, on note l’émergence de simulation ayant recours au concept de jeu d’évasion.Objectif : L’objectif était de recenser les modalités entourant l’utilisation, la conception et la réalisation de jeux d’évasion dans le domaine de la santé.Sources des données : Les recherches sur Pubmed, Embase et CINAHL ont été effectuées jusqu’au 3 décembre 2018. Sélection des études : Toutes les études portant sur la conception ou la réalisation de jeux d’évasion dans le domaine de la santé, en anglais et en français, ont été incluses. Extraction des données : Le pays, la population cible, la conception, la réalisation, la méthode d’évaluation et les résultats ont été extraits.Synthèse des données : Sept résumés de communication affichée et neuf articles ont été inclus. Douze jeux d’évasion ont été réalisés aux États-Unis. Ils sont utilisés en médecine (n = 5), en pharmacie (n = 4), en sciences infirmières (n = 4) ainsi que dans d’autres disciplines (n = 3), principalement dans un cadre pédagogique universitaire (n = 12) mais aussi professionnel (n = 4). Leurs objectifs visaient à améliorer les connaissances (n = 8), à augmenter l’intérêt et la motivation des participants pour un sujet précis (n = 2) et à améliorer la cohésion et la communication dans une équipe (n = 2). Dix des jeux d’évasion décrits dans les articles étaient basés sur un scénario orienté vers la clinique. Dix équipes ont réalisé un débriefing avec les participants, une équipe n’en a pas fait et cinq articles ne mentionnaient pas cette information.Conclusion : Il existe peu de données entourant l’utilisation de jeux d’évasion en santé. Il est trop tôt pour juger de l’efficacité de cette approche. Toutefois, l’intérêt grandissant justifie l’instauration d’une veille documentaire pour suivre l’évolution et mieux comprendre la place de ce type de stratégie dans l’apprentissage en santé.ABSTRACTBackground: Many different teaching strategies are used to promote learning in an academic or professional environment. Among these can be noted the emergence of simulation, based on the concept of escape games.Objective: To identify methodologies relating to the use, design, and implementation of escape games in health care.Data Sources: The Pubmed, Embase, and CINAHL databases were searched up to December 3, 2018.Study Selection: All studies focusing on the design or development of escape games in the health care field (published in English or French) were included.Data Extraction: For each study, the country, target population, design, development, method of evaluation, and results were extracted for analysis.Data Synthesis: Seven poster abstracts and 9 published articles were included. Twelve escape games were developed in the United States. They were used in medicine (n = 5), pharmacy (n = 4), nursing (n = 4) and other fields (n = 3), mainly within academic teaching contexts (n = 12) but also in professional settings (n = 4). Their goals were to improve knowledge (n = 8), to increase participants’ interest and motivation regarding a specific topic (n = 2), and to improve cohesion and commu-nication within a team (n = 2). Ten of the escape games described in the articles were based on a clinical scenario. Ten of the research teams held debriefings with participants, and one did not; 5 articles did not report information about debriefing.Conclusions: Few data exist concerning the use of escape games in the health care setting, and it is too early to judge the efficiency of this approach to learning. However, growing interest justifies systematic monitoring of the literature to follow the evolution of such strategies and to better understand their place in health care education.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.327
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2019
Admission routes2
Has abstractyes

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