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Título
Using Task-Evoked Pupillary Response to Predict Clinical Performance during a Simulation Training
Autor
Facultad/Centro
Área de conocimiento
Título de la revista
Healthcare
Número de la revista
4
Cita Bibliográfica
Mauriz, E., Caloca-Amber, S., & Vázquez-Casares, A. M. (2023). Using Task-Evoked Pupillary Response to Predict Clinical Performance during a Simulation Training. Healthcare (Switzerland), 11(4). https://doi.org/10.3390/HEALTHCARE11040455
Editorial
MDPI
Fecha
2023
Resumen
[EN] 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 (R2 = 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.
Materia
Palabras clave
Peer review
SI
URI
DOI
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