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Enregistrement W4232434108 · doi:10.11124/jbisrir-2016-003147

Student and educator experiences of maternal-child simulation-based learning: a systematic review of qualitative evidence

2017· review· en· W4232434108 sur OpenAlexaff
Karen MacKinnon, Lenora Marcellus, Julie Rivers, Carol Gordon, Maureen Ryan, Diane Butcher

Notice bibliographique

RevueThe JBI Database of Systematic Reviews and Implementation Reports · 2017
Typereview
Langueen
DomaineMedicine
ThématiqueSimulation-Based Education in Healthcare
Établissements canadiensLoyalist CollegeUniversity of Victoria
Organismes subventionnairesnon disponible
Mots-clésCurriculumInstructional simulationLicensureQualitative researchContext (archaeology)Inclusion (mineral)Medical educationPsychologyPediatric nursingNurse educationHealth careNursingMedicinePedagogyEducational technology

Résumé

récupéré en direct d'OpenAlex

EXECUTIVE SUMMARY Background Although maternal-child care is a pillar of primary health care, there is a global shortage of maternal-child health care providers. Nurse educators experience difficulties providing undergraduate students with maternal-child learning experiences for a number of reasons. Simulation has the potential to complement learning in clinical and classroom settings. Although systematic reviews of simulation are available, no systematic reviews of qualitative evidence related to maternal-child simulation-based learning (SBL) for undergraduate nursing students and/or educators have been located. Objectives The aim of this systematic review was to identify the appropriateness and meaningfulness of maternal-child simulation-based learning for undergraduate nursing students and nursing educators in educational settings to inform curriculum decision-making. The review questions are: i. What are the experiences of nursing or health professional students participating in undergraduate or pre-licensure maternal-child simulation-based learning in educational settings? ii. What are the experiences of educators delivering undergraduate or pre-licensure maternal-child simulation-based learning in educational settings? iii. What teaching and learning practices in maternal-child simulation-based learning are considered appropriate and meaningful by students and educators? Inclusion criteria Types of participants Pre-registration or pre-licensure or undergraduate nursing or health professional students and educators. Phenomena of interest Experiences of simulation in an educational setting with a focus relevant to maternal child nursing. Types of studies Qualitative research and educational evaluation using qualitative methods. Context North America, Europe, Australia and New Zealand. Search strategy A three-step search strategy identified published studies in the English language from 2000 until April 2016. Methodological quality Identified studies that met the inclusion criteria were retrieved and critically appraised using the Joanna Briggs Institute Qualitative Assessment and Review Instrument (JBI-QARI) by at least two independent reviewers. Overall the methodological quality of the included studies was low. Data extraction Qualitative findings were extracted by two independent reviewers using JBI-QARI data extraction tools. Data synthesis Findings were aggregated and categorized on the basis of similarity in meaning. Categories were subjected to a meta-synthesis to produce a single comprehensive set of synthesized findings. Results Twenty-two articles from 19 studies were included in the review. A total of 112 findings were extracted from the included articles. Findings were grouped into 15 categories created on the basis of similarity of meaning. Meta-synthesis of these categories generated three synthesized findings. Synthesized finding 1 Students experienced simulated learning experiences (SLE) as preparation that enhanced their confidence in practice. When simulation was being used for evaluation purposes many students experienced anxiety about the SLE. Synthesized finding 2 Pedagogical practices thought to be appropriate and meaningful included: realistic, relevant and engaging scenarios, a safe non-threatening learning environment, supportive guidance throughout the process, and integration with curriculum. Synthesized finding 3 Barriers and enablers to incorporating SLEs into maternal child education were identified including adequate resources, technological support and faculty development. Students and educators recognized that some things, such as relationship building, could not be simulated. Conclusions Students felt that simulation prepared them for practice through building their self-confidence related to frequently and infrequently seen maternal-child scenarios. Specific pedagogical elements support the meaningfulness of the simulation for student learning. The presence or absence of resources impacts the capacity of educators to integrate simulation activities throughout curricula.

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)0,064
score de la tête « metaresearch » (Gemma)0,198
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,064
Score d'incertitude au seuil0,339

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0640,198
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0060,006
Bibliométrie0,0180,019
Études des sciences et des technologies0,0010,002
Communication savante0,0040,005
Science ouverte0,0030,005
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

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 Opus0,341
Tête enseignante GPT0,595
Écart entre enseignants0,254 · 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'étudeRevue systématique
Domainenon disponible
GenreSynthèse

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

En bref

Citations27
Publié2017
Routes d'admission1
Résumé présentoui

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