Evidence map›Paper›PMID 29670763›Full record

ArticleBMJ simulation & technology enhanced learning2018

Evaluation of cognitive load and emotional states during multidisciplinary critical care simulation sessions.

Swapnil Pawar, Theresa Jacques, Kush Deshpande, Raju Pusapati, Michael J Meguerdichian

Abstract read
In one paragraph

Article in BMJ simulation & technology enhanced learning, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

20 citing papers in PubMed.

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  18. COVID-19: Biosafety in the Intensive Care Unit.Current tropical medicine reports · 2020
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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

5 authors.

Swapnil PawarDepartment of Intensive Care, St George Hospital, Sydney, Australia.ORCID 0000-0003-3504-2780
Theresa JacquesDepartment of Intensive Care, St George Hospital, Sydney, Australia.
Kush DeshpandeDepartment of Intensive Care, St George Hospital, Sydney, Australia.
Raju PusapatiDepartment of Intensive Care, St George Hospital, Sydney, Australia.
Michael J MeguerdichianDepartment of Emergency Medicine, Institute for Medical Simulation and Advanced Learning, Harlem Hospital Center, New York City, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe simulation in critical care setting involves a heterogeneous group of participants with varied background and experience. Measuring the impacts of simulation on emotional state and cognitive load in this setting is not often performed. The feasibility of such measurement in the critical care setting needs further exploration.

methodsMedical and nursing staff with varying levels of experience from a tertiary intensive care unit participated in a standardised clinical simulation scenario. The emotional state of each participant was assessed before and after completion of the scenario using a validated eight-item scale containing bipolar oppositional descriptors of emotion. The cognitive load of each participant was assessed after the completion of the scenario using a validated subjective rating tool.

resultsA total of 103 medical and nursing staff participated in the study. The participants felt more relaxed (-0.28±1.15 vs 0.14±1, P<0.005; d=0.39), excited (0.25±0.89 vs 0.55±0.92, P<0.005, d=0.35) and alert (0.85±0.87 vs 1.28±0.73, P<0.00001, d=0.54) following simulation. There was no difference in the mean scores for the remaining five items. The mean cognitive load for all participants was 6.67±1.41. There was no significant difference in the cognitive loads among medical staff versus nursing staff (6.61±2.3 vs 6.62±1.7; P>0.05).

conclusionA well-designed complex high fidelity critical care simulation scenario can be evaluated to identify the relative cognitive load of the participants' experience and their emotional state. The movement of learners emotionally from a more negative state to a positive state suggests that simulation can be an effective tool for improved knowledge transfer and offers more opportunity for dynamic thinking.

Indexed as

cognitive loadcritical careemotional statemulti-disciplinarysimulation

Identifiers

PMID29670763
PMCPMC5890622

What OpenQuestion holds

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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.