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Enregistrement W2312247254 · doi:10.1097/01.sih.0000441394.00748.e9

Board 129 - Program Innovations Abstract The International Network for Simulation-aBsed Pediatric Innovation, Research and Education (INSPIRE)

2013· article· en· W2312247254 sur OpenAlexaffabout
Adam Cheng, Marc Auerbach, Elizabeth A. Hunt, David Kessler, Martin Pusic, Todd P. Chang, Ralph MacKinnon, Jordan Duval‐Arnould, Nnenna O. Chime, Vinay Nadkarni, Nicola Robertson

Notice bibliographique

RevueSimulation in Healthcare The Journal of the Society for Simulation in Healthcare · 2013
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealth Sciences Research and Education
Établissements canadiensAlberta Children's Hospital
Organismes subventionnairesnon disponible
Mots-clésDebriefingScripting languageMedical educationBlueprintCertificationTeamworkComputer sciencePsychologyMedicineEngineeringPolitical science

Résumé

récupéré en direct d'OpenAlex

Introduction/Background The quality and impact of simulation-based research (SBR) is highly variable and only a minority of published SBR is multicenter in nature. The International Network for Simulation-based Pediatric Innovation, Research and Education (INSPIRE) was formed in 2011 to promote and enhance single and multicenter SBR in pediatrics with the purpose of improving care and outcomes for pediatric patients. Methods In 2011, two existing pediatric simulation research networks (Examining Pediatric Resuscitation Education using Simulation and Scripting (EXPRESS) and Patient Outcomes in Simulation Education (POISE) networks merged to form INSPIRE. A research consensus conference was held in January 2011 to establish a network mission statement, research themes and short and long-term research goals. A network executive committee consisting of 11 individuals, was formed to oversee network activities. A network website (www.inspiresim.com), was developed to support ongoing research projects and serve as the backbone for network activities. Biannual network meetings held at international simulation conferences (IMSH and IPSSW) have provided a working venue for new and ongoing projects. By merging the EXPRESS and POISE networks, the new INSPIRE network has been able to enhance collaborative opportunities, expand the breadth of simulation and research expertise in various areas (eg. statistics, human factors, psychology etc) and foster growth of simulation research in various countries around the world. With 110 participating sites (from 14 different countries) and over 400 active members, INSPIRE represents the largest simulation research network in the world. Seven different research themes (Teamwork, Procedural and Psychomotor Skills, Debriefing, Acute Care and Resuscitation, Technology, Human Factors and Patient Safety) were identified from the 2011 consensus conference, with over 30 INSPIRE multicenter research trials ongoing to address questions related to these themes. The multifunctional network website serves as the central hub by: a) accepting applications for new members; b) housing an INSPIRE member and project database; c) matching members to mentors to help facilitate growth of research projects (and expertise); d) matching members to each other (based on expertise and interest) to enable collaboration and networking; e) accepting new INSPIRE project proposals; and f) providing a central venue for projects with file sharing and communications functionality. Collaboration with the Society for Simulation in Healthcare (SSH) and the International Pediatric Simulation Society (IPSS) and infrastructure grant support has allowed for four network meetings in the past twp years. These network meetings, attended by 60-100 people per meeting, have provided INSPIRE members with an update on network activities and an opportunity for members to present new project ideas. New project ideas are submitted online, scientifically reviewed, and selected for presentation via one or two different standardized formats. Principal investigators of projects selected for "ALERT Presentations" give short, five minute presentations that provide an overview of the background, hypothesis, proposed methodology and project needs. These are followed by three-four hour working groups with interested INSPIRE members to help address project needs, identify potential collaboratorsband define an action plan moving forward. Principal investigators selected for the second format, "Research Speed Dating", are setup to meet individually with three selected experts in rotating 30 minute blocks. Experts are carefully selected to ensure they have expertise to address the defined needs of the project. INSPIRE network research over the past two years has resulted in 10 publications, 55 abstract presentations and over 2,500 health professionals trained. Future directions will focus on building network infrastructure and securing funds to support network activities. Results: Conclusion The development of an international simulation research network has facilitated effective collaboration in multicenter research trials, leading to improved knowledge translation and a focused vision for simulation research on an international level. Disclosures Laerdal Foundation for Acute Medicine, Heart and Stroke Foundation of Canada Royal College of Physicians and Surgeons of Canada SSH Board of Directors rababy foundation my smart health care Laerdal Foundation Grant RBaby Foundation Laerdal Foundation for Acute Care Medicine and Laerdal Medical Corp; Nihon-Kohden Corporation; none none Laerdal Foundation for Acute Care Medicine and Laerdal Medical Corp; Nihon-Kohden Corporation; none none

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,017
score de la tête « metaresearch » (Gemma)0,007
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies, Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,232
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0170,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,005
Études des sciences et des technologies0,0040,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,230
Tête enseignante GPT0,549
Écart entre enseignants0,319 · 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 tête enseignante, pas un consensus.

Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

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

En bref

Citations3
Publié2013
Routes d'admission2
Résumé présentoui

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