Literature DB >> 35515100

Impact of providing case-specific knowledge in simulation: a theory based study of learning.

Jocelyn Cox1, Marion McGregor2, Dominic Giuliano3, Loretta Howard4.   

Abstract

Background: Simulation-based education (SBE) has been lauded for its ability to help students recognise and react appropriately to common and rare circumstances. While healthcare professions have started to implement SBE into their curriculum, there is no evidence to suggest which educational theory is best for implementation. This study explores the usage of cognitive load theory (CLT) and the unified theory of emotional learning (UTEL). Study design: A mixed methods ordered-allocation cohort study.
Methods: 23 patient management teams were allocated into 2 groups. The first group received prior information about the simulation scenario; the second group did not. Each team had 1 student assigned to the role of doctor. The scenarios were filmed at time 1 (T1), time 2 (T2) and follow-up (F/U). The 'doctor' role was then graded with a validated checklist by a three-judge panel. The scores were evaluated to determine if prior information enabled better performance. Secondary analysis evaluated the role of gender on performance and also evaluated anxiety at the onset of the simulation.
Results: 23 doctors were evaluated. There was no difference between groups in performance (t=1.54, p=0.13). Secondary analysis indicated that gender did not play a role. There was no difference in anxiety between groups at baseline (t=0.67, p=0.51). Conclusions: Trends were observed, suggesting that when students enter a simulation environment with prior knowledge of the event they will encounter, their performance may be higher. No differences were observed in performance at T2 or F/U. Withholding information appeared to be an inappropriate proxy for emotional learning as no difference in anxiety was observed between groups at baseline. All trends require confirmation with a larger sample size. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  Education; Health Care; Learning Theory; Simulation

Year:  2016        PMID: 35515100      PMCID: PMC8936943          DOI: 10.1136/bmjstel-2016-000131

Source DB:  PubMed          Journal:  BMJ Simul Technol Enhanc Learn        ISSN: 2056-6697


  28 in total

1.  Enhanced human memory consolidation with post-learning stress: interaction with the degree of arousal at encoding.

Authors:  Larry Cahill; Lukasz Gorski; Kathryn Le
Journal:  Learn Mem       Date:  2003 Jul-Aug       Impact factor: 2.460

2.  Perceptions of emergency medicine residents and fellows regarding competence, adverse events and reporting to supervisors: a national survey.

Authors:  Steven Marc Friedman; Robert J Sowerby; Ray Guo; Glen Bandiera
Journal:  CJEM       Date:  2010-11       Impact factor: 2.410

Review 3.  Review of mannequin-based high-fidelity simulation in emergency medicine.

Authors:  Peter Z Fritz; Tim Gray; Brendan Flanagan
Journal:  Emerg Med Australas       Date:  2007-11-12       Impact factor: 2.151

4.  Capturing students' learning experiences and academic emotions at an interprofessional training ward.

Authors:  Hanna Lachmann; Sari Ponzer; Unn-Britt Johansson; Lina Benson; Klas Karlgren
Journal:  J Interprof Care       Date:  2012-10-08       Impact factor: 2.338

5.  Evaluating the impact of simulation on translational patient outcomes.

Authors:  William C McGaghie; Timothy J Draycott; William F Dunn; Connie M Lopez; Dimitrios Stefanidis
Journal:  Simul Healthc       Date:  2011-08       Impact factor: 1.929

6.  Pre-hospital coronary care and coronary fatality in the Belfast and Glasgow MONICA populations.

Authors:  W Moore; F Kee; A E Evans; E E McCrum-Gardner; C Morrison; H Tunstall-Pedoe
Journal:  Int J Epidemiol       Date:  2005-03-31       Impact factor: 7.196

7.  Adding emotional stressors to training in simulated cardiopulmonary arrest enhances participant performance.

Authors:  Samuel Demaria; Ethan O Bryson; Timothy J Mooney; Jeffrey H Silverstein; David L Reich; Carol Bodian; Adam I Levine
Journal:  Med Educ       Date:  2010-10       Impact factor: 6.251

Review 8.  Technology-enhanced simulation for health professions education: a systematic review and meta-analysis.

Authors:  David A Cook; Rose Hatala; Ryan Brydges; Benjamin Zendejas; Jason H Szostek; Amy T Wang; Patricia J Erwin; Stanley J Hamstra
Journal:  JAMA       Date:  2011-09-07       Impact factor: 56.272

9.  Innovations in clinical simulation: Application of Benner's theory in an interactive patient care simulation.

Authors:  Charles Larew; Sherrie Lessans; Debra Spunt; Dawn Foster; Barbara G Covington
Journal:  Nurs Educ Perspect       Date:  2006 Jan-Feb

10.  Predicting survival from out-of-hospital cardiac arrest: a graphic model.

Authors:  M P Larsen; M S Eisenberg; R O Cummins; A P Hallstrom
Journal:  Ann Emerg Med       Date:  1993-11       Impact factor: 5.721

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