Exploring eye-tracking data as an indicator of situational awareness in nursing students during a cardiorespiratory arrest simulation.

AIM: To examine the components of visual attention that maintain situational awareness during simulation training in undergraduate nursing students with different instruction levels. BACKGROUND: Eye-tracking can provide deep insight into the nurses' attention during simulated practice. Knowing which gaze patterns promote situational awareness can significantly improve nurse instruction. DESIGN: A comparative observational study investigated the role of visual attention on the performance quality, psychophysiological parameters (vital signs, anxiety and stress) and socioemotional competencies (cognitive workload, motivation and self-efficacy) of nursing students with various experience levels. METHODS: Thirty nursing students divided into two groups according to their academic level: first cycle (n=14) and second-cycle (n=16) faced a clinical simulation scenario to resolve a cardiorespiratory arrest event. Eye tracking-based analysis required the selection of six areas of interest. The monitorization of vital signs included measuring blood pressure, heart rate, respiratory rate and oxygen saturation before and after the simulation practice. Participants completed the socioemotional questionnaire (NASA-TLX). They answered the state subscale of the State-Trait Anxiety Inventory (STAI), the Visual Analogue Scale (VAS) of stress, the Situational Motivation Scale (SIMS) and the Baessler and Schwarzer General Self-Efficacy Scale. RESULTS: The first-cycle group displayed higher vital sign scores than the second cycle, apart from the post-simulation respiratory rate. All physiological parameters increased in mean value after the clinical simulation, except oxygen saturation. Anxiety was the only parameter in the socioemotional domain to present a statistically significant difference between the groups. First-year nursing students showed greater anxiety, stress, mental workload, identified regulation and intrinsic motivation, while second-year students showed higher levels of amotivation, external regulation and perceived self-efficacy. Eye-tracking data (revisits, gaze and duration of fixations) exhibited statistically significant differences depending on the area of interest in both groups (p =. 05). The performance outcomes showed a negative and moderate association with gaze the total number of gazes in the second-cycle group (rho = -0.640, p = 0.010). CONCLUSION: Eye-tracking-based analysis can help to predict performance quality while maintaining situational awareness during nursing instruction.

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 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.

Effect of Psychophysiological Stress and Socio-Emotional Competencies on the Clinical Performance of Nursing Students during a Simulation Practice.

Psychophysiological stress can affect the cognitive response and effective learning of students during medical simulation practices. This study aimed to explore the effect of psychophysiological stress and socio-emotional competencies on clinical performance during a simulation experience. A pre-test/post-test design was used to assess physiological (blood pressure, heart rate and blood oxygen saturation) and psychological parameters (stress and anxiety) as well as socio-emotional skills (cognitive load, self-efficacy and motivation) in nursing students (n = 40) before and after the simulation of a cardiopulmonary resuscitation practice. Physiological responses showed statistically significant differences between pre-test and post-test conditions for blood pressure and heart rate (p < 0.0001). Moderate and significant correlations were also observed when comparing self-efficacy with stress (r = -0.445, p = 0.004), anxiety (r = -0.467, p = 0.002) and motivation (r = -0.406, p = 0.009) measures. Similarly, cognitive-load dimensions were significantly associated with either physiological (r = -0.335, p = 0.034) or psychological (r = -0.448, p = 0.004) indicators. The analysis of multiple regression models revealed a relationship between the effectiveness of the simulated experience, post-test blood oxygen saturation, heart rate, workload and self-efficacy (R2 = 0.490; F (3, 39) = 8.305; p < 0.0001; d = 1.663). Therefore, the evaluation of psychophysiological parameters and socio-emotional skills seems to provide a promising framework for predicting the quality of simulated clinical practices.

Effect of Facial Skin Temperature on the Perception of Anxiety: A Pilot Study.

The extent of anxiety and psychological stress can impact upon the optimal performance of simulation-based practices. The current study investigates the association between differences in skin temperature and perceived anxiety by under- (n = 21) and post-graduate (n = 19) nursing students undertaking a cardiopulmonary resuscitation (CPR) training. Thermal facial gradients from selected facial regions were correlated with the scores assessed by the State-Trait Anxiety Inventory (STAI) and the chest compression quality parameters measured using mannequin-integrated accelerometer sensors. A specific temperature profile was obtained depending on thermal facial variations before and after the simulation event. Statistically significant correlations were found between STAI scale scores and the temperature facial recordings in the forehead (r = 0.579; p < 0.000), periorbital (r = 0.394; p < 0.006), maxillary (r = 0.328; p < 0.019) and neck areas (r = 0.284; p < 0.038). Significant associations were also observed by correlating CPR performance parameters with the facial temperature values in the forehead (r = 0.447; p < 0.002), periorbital (r = 0.446; p < 0.002) and maxillary areas (r = 0.422; p < 0.003). These preliminary findings suggest that higher anxiety levels result in poorer clinical performance and can be correlated to temperature variations in certain facial regions.