Evidence map›Paper›PMID 39736707›Full record

ArticleAdvances in simulation (London, England)2024

More than a feeling: emotional regulation strategies for simulation-based education.

Vicki R LeBlanc, Victoria Brazil, Glenn D Posner

Abstract read
In one paragraph

Article in Advances in simulation (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Vicki R LeBlancDepartment of Innovation in Medical Education, Faculty of Medicine, University of Ottawa, 850 Peter Morand Crescent, Room 102A, Ottawa, ON, K1G 5Z3, Canada. vleblan3@uottawa.ca.
Victoria BrazilFaculty of Health Sciences and Medicine, Bond University, Gold Coast, QLD, Australia.
Glenn D PosnerUniversity of Ottawa Skills & Simulation Centre, The Ottawa Hospital, Civic Campus, Loeb Research Building, 1st floor, 725 Parkdale Ave., Ottawa, ON, K1Y 4E9, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simulation-based education often involves learners or teams attempting to manage situations at the limits of their abilities. As a result, it can elicit emotional reactions in participants. These emotions are not good or bad, they simply are. Their value at any given moment is determined by their utility in meeting the goals of a particular situation. When emotions are particularly intense, or a given emotion is not aligned with the situation, they can impede learners' ability to engage in a simulation activity or debriefing session, as well as their ability to retain knowledge and skills learned during the session. Building on existing guidance for simulation educators seeking to optimize the learning state/readiness in learners, this paper explores the theory and research that underpins the practical application of how to recognize and support learners' emotions during simulation sessions. Specifically, we describe the impact of various emotions on the cognitive processes involved in learning and performance, to inform practical guidance for simulation practitioners: (1) how to recognize and identify emotions experienced by others, (2) how to determine whether those emotional reactions are problematic or helpful for a given situation, and (3) how to mitigate unhelpful emotional reactions and leverage those that are beneficial in achieving the goals of a simulation session.

Indexed as

EmotionInterpersonal emotional regulation

Identifiers

PMID39736707
PMCPMC11687166

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.