RT info:eu-repo/semantics/article
T1 Using Task-Evoked Pupillary Response to Predict Clinical Performance during a Simulation Training
A1 Mauriz García, Elba
A1 Caloca Amber, S.
A1 Vázquez Casares, Ana María
A2 Enfermeria
K1 Enfermería
K1 Medicina. Salud
K1 Pupil response
K1 Mental workload
K1 Clinical performance
K1 Emergency care
K1 Simulation practice
K1 3212 Salud Publica
K1 3205 Medicina Interna
AB [EN] Training in healthcare skills can be affected by trainees’ workload when completing atask. Due to cognitive processing demands being negatively correlated to clinical performance,assessing mental workload through objective measures is crucial. This study aimed to investigatetask-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. Theanalysis of a multiple regression model produced a statistically significant pattern between pupildiameter 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 markersto complement physiological metrics for predicting mental workload and clinical performance inmedical practice.
PB MDPI
LK https://hdl.handle.net/10612/17889
UL https://hdl.handle.net/10612/17889
NO 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
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 29-may-2024