Eye tracking during a simulated start of shift safety check: An observational analysis of gaze behavior of critical care nurses

J Intensive Care Soc. 2024 Aug 2;25(4):383-390. doi: 10.1177/17511437241268160. eCollection 2024 Nov.

Abstract

Background: The handover and associated shift start checks by nurses of critical care patients are complex and prone to errors. However, which aspects lead to errors remains unknown. Fewer errors might occur in a structured approach. We hypothesized that specific gaze behavior during handover and shift start safety check correlates with error recognition.

Methods: In our observational eye tracking study, we analyzed gaze behavior of critical care nurses during handover and shift start safety check in a simulation room with built-in errors. Four areas of interest (AOI) were pre-defined (patient, respirator, prescriptions, monitor). The primary outcome were different gaze metrics (time to first fixation, revisits, first visual intake duration, average visual intake duration, dwell time) on AOIs. Parameters were analyzed by taking all errors in account, and by dividing them into minor and critical.

Results: Forty-three participants were included. All participants committed at least a minor error (n = 43, 100%), at least one critical error occurred in 29 participants (67%). Taking all errors into account, longer time to first fixation and more revisits were associated with an increased risk of missing errors (Time to First Fixation: OR 1.099 (95% CI 1.023-1.191, p = 0.0002), Revisits: OR 1.080 (95% CI 1.025-1.143, p = 0.0055)).

Conclusion: Error detection during shift start safety check was associated with distinct gaze behavior. Nurses who recognized more errors had a shorter time to first fixation and less revisits. These gaze characteristics might correspond to a more structured approach. Further research is necessary, for example by implementing a checklist, to reduce errors in the future and improve patient safety.

Keywords: Patient safety; behavior monitoring; eye tracking technology; intensive care units; patient handoff.