Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1784894562398896128 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9956315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT maurizelba usingtaskevokedpupillaryresponsetopredictclinicalperformanceduringasimulationtraining AT calocaambersandra usingtaskevokedpupillaryresponsetopredictclinicalperformanceduringasimulationtraining AT vazquezcasaresanam usingtaskevokedpupillaryresponsetopredictclinicalperformanceduringasimulationtraining |