Provider Visual Attention Correlates With the Quality of Pediatric Resuscitation: An Observational Eye-Tracking Study

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.

Application of eye-tracking in nursing research: A scoping review

AIMS

To map the themes and methods of nursing researches involving eye-tracking as a measurement, and offer suggestion for future nursing research using eye-tracking.

DESIGN

We conducted a scoping review following the methodology outlined in the JBI Manual for Evidence Synthesis on scoping reviews.

METHODS

Eligibility criteria were established based on Population (involving nursing or nursing students), Concept (utilizing eye-tracking as a research method), and Context (in any setting). Articles were retrieved from the PubMed, Web of Science, Embase, CINAHL, APA PsycInfo, and Scopus databases, spanning from database inception to November 17, 2023. The included studies were analysed using descriptive statistics and content analysis.

RESULTS

After duplicates were removed, 815 citations were identified from searches of electronic databases and other resources, and 66 met the inclusion criteria finally. Thirty-eight studies were conducted in a simulated environment. Five application domains were identified, and most of the studies (N = 50) were observational. The domains found in our review did not cover all topics of nursing research in the same depth. Additionally, 39 studies did not solely explicate eye-tracking data but instead integrated behavioural measures, scales/questionnaires, or other physiological data.

CONCLUSIONS

Eye-tracking emerges as a significant research tool in uncovering visual behaviour, particularly in nursing research focused on nursing education. This study not only summarized the application and interpretation of eye-tracking data but also recognized its potential in advancing clinical nursing research and practice. To effectively harness the capabilities of eye-tracking in elucidating cognitive processes, future research should aim for a clearer grasp of the theoretical underpinnings of the addressed research problems and methodological choices. It is crucial to emphasize the standardization of eye-tracking method reporting and ensuring data quality. No Patient or Public Contribution.

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.