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Using Task-Evoked Pupillary Response to Predict Clinical Performance during a Simulation Training

Training in healthcare skills can be affected by trainees’ workload when completing a task. Due to cognitive processing demands being negatively correlated to clinical performance, assessing mental workload through objective measures is crucial. This study aimed to investigate task-evoked changes in...

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Detalles Bibliográficos
Autores principales: Mauriz, Elba, Caloca-Amber, Sandra, Vázquez-Casares, Ana M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956315/
https://www.ncbi.nlm.nih.gov/pubmed/36832990
http://dx.doi.org/10.3390/healthcare11040455
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author Mauriz, Elba
Caloca-Amber, Sandra
Vázquez-Casares, Ana M.
author_facet Mauriz, Elba
Caloca-Amber, Sandra
Vázquez-Casares, Ana M.
author_sort Mauriz, Elba
collection PubMed
description Training in healthcare skills can be affected by trainees’ workload when completing a task. Due to cognitive processing demands being negatively correlated to clinical performance, assessing mental workload through objective measures is crucial. This study aimed to investigate task-evoked changes in pupil size as reliable markers of mental workload and clinical performance. A sample of 49 nursing students participated in a cardiac arrest simulation-based practice. Measurements of cognitive demands (NASA-Task Load Index), physiological parameters (blood pressure, oxygen saturation, and heart rate), and pupil responses (minimum, maximum, and difference diameters) throughout revealed statistically significant differences according to performance scores. The analysis of a multiple regression model produced a statistically significant pattern between pupil diameter differences and heart rate, systolic blood pressure, workload, and performance (R(2) = 0.280; F (6, 41) = 2.660; p < 0.028; d = 2.042). Findings suggest that pupil variations are promising markers to complement physiological metrics for predicting mental workload and clinical performance in medical practice.
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spelling pubmed-99563152023-02-25 Using Task-Evoked Pupillary Response to Predict Clinical Performance during a Simulation Training Mauriz, Elba Caloca-Amber, Sandra Vázquez-Casares, Ana M. Healthcare (Basel) Article Training in healthcare skills can be affected by trainees’ workload when completing a task. Due to cognitive processing demands being negatively correlated to clinical performance, assessing mental workload through objective measures is crucial. This study aimed to investigate task-evoked changes in pupil size as reliable markers of mental workload and clinical performance. A sample of 49 nursing students participated in a cardiac arrest simulation-based practice. Measurements of cognitive demands (NASA-Task Load Index), physiological parameters (blood pressure, oxygen saturation, and heart rate), and pupil responses (minimum, maximum, and difference diameters) throughout revealed statistically significant differences according to performance scores. The analysis of a multiple regression model produced a statistically significant pattern between pupil diameter differences and heart rate, systolic blood pressure, workload, and performance (R(2) = 0.280; F (6, 41) = 2.660; p < 0.028; d = 2.042). Findings suggest that pupil variations are promising markers to complement physiological metrics for predicting mental workload and clinical performance in medical practice. MDPI 2023-02-04 /pmc/articles/PMC9956315/ /pubmed/36832990 http://dx.doi.org/10.3390/healthcare11040455 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mauriz, Elba
Caloca-Amber, Sandra
Vázquez-Casares, Ana M.
Using Task-Evoked Pupillary Response to Predict Clinical Performance during a Simulation Training
title Using Task-Evoked Pupillary Response to Predict Clinical Performance during a Simulation Training
title_full Using Task-Evoked Pupillary Response to Predict Clinical Performance during a Simulation Training
title_fullStr Using Task-Evoked Pupillary Response to Predict Clinical Performance during a Simulation Training
title_full_unstemmed Using Task-Evoked Pupillary Response to Predict Clinical Performance during a Simulation Training
title_short Using Task-Evoked Pupillary Response to Predict Clinical Performance during a Simulation Training
title_sort using task-evoked pupillary response to predict clinical performance during a simulation training
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956315/
https://www.ncbi.nlm.nih.gov/pubmed/36832990
http://dx.doi.org/10.3390/healthcare11040455
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