A Comparison of Nurses' Situation Awareness and Eye-Tracking Data in Precardiac Arrest Simulations

被引:6
|
作者
Lavoie, Patrick [1 ,2 ]
Lapierre, Alexandra [1 ,2 ]
Khetir, Imene [1 ,2 ]
Doherty, Amelie [2 ]
Thibodeau-Jarry, Nicolas [2 ,3 ]
Rousseau-Saine, Nicolas [2 ,4 ]
Cretaz, Maude [1 ,2 ]
Benhannache, Rania [1 ,2 ]
Mailhot, Tanya [1 ,2 ]
机构
[1] Univ Montreal, Fac Nursing, Montreal, PQ H3C 3J7, Canada
[2] Montreal Heart Inst, Res Ctr, Montreal, PQ H1T 1C8, Canada
[3] Univ Montreal, Fac Med, Dept Med, Montreal, PQ H3C 3J7, Canada
[4] Univ Montreal, Fac Med, Dept Anesthesiol & Pain Med, Montreal, PQ H3C 3J7, Canada
关键词
clinical decision-making; visual attention; situation awareness; cardiopulmonary resuscitation; cardiac arrest; eye-tracking; gaze behavior; fixations; CLINICAL DETERIORATION; EDUCATION; SAFETY;
D O I
10.1016/j.ecns.2023.101429
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Background: Eye tracking has emerged as a new technology for assessing nurses' visual attention in simulation, but its relationship with situation awareness, a precursor to clinical decision-making, remains to be defined. This study compared role-based situation awareness and visual attention using eye-tracking in simulation. Methods: Newly hired nurses participated in a cardiac arrest simulation as part of an orientation program. Eye-tracking data were collected to assess visual attention during the prearrest period. Participants completed a situation awareness questionnaire after the simulation. Data were compared according to participants' roles in the simulation. Results: Results suggest a role-based difference in nurses' visual attention and situation awareness: designated nurses ( n = 12) looked at the patient more often, for longer periods and were more aware of signs of patient deterioration than teammates ( n = 14). Conclusions: : This study was the first to combine eye-tracking and situation awareness data to compare two nursing roles during a precardiac arrest simulation. The findings also suggest gaps and learning needs in nurses' understanding of signs of patient deterioration and other nontechnical skills.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] ASSESSMENT OF SITUATION AWARENESS FOR SEAFARERS USING EYE-TRACKING DATA
    Virdi, S. S.
    Ng, Yong Thiang
    Liu, Yisi
    Tan, Kelvin
    Zhang, Daniel
    PROCEEDINGS OF ASME 2022 41ST INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE & ARCTIC ENGINEERING, OMAE2022, VOL 1, 2022,
  • [2] Correlation Evaluation of Pilots' Situation Awareness in Bridge Simulations via Eye-Tracking Technology
    Jiang, Shaoqi
    Chen, Weijiong
    Kang, Yutao
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, 2021
  • [3] Situation awareness of distracted walking based on eye-tracking study
    Akbar, Gilang H.
    Wijayanto, Titis
    Hartono, Budi
    COGNITION TECHNOLOGY & WORK, 2024,
  • [4] Using Eye-Tracking to Measure Worker Situation Awareness in Augmented Reality
    Wu, Shaoze
    Chen, Haosen
    Hou, Lei
    Zhang, Guomin
    Li, Chun-Qing
    AUTOMATION IN CONSTRUCTION, 2024, 165
  • [5] Understanding drivers' situation awareness in highly automated driving using SAGAT, SART, and eye-tracking data
    Kim, Young Woo
    Yoon, Sol Hee
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2025, 109 : 1437 - 1450
  • [6] Exploring eye-tracking data as an indicator of situational awareness in nursing students during a cardiorespiratory arrest simulation
    Caloca-Amber, Sandra
    Mauriz, Elba
    Vazquez-Casares, Ana M.
    NURSE EDUCATION IN PRACTICE, 2024, 76
  • [7] Driver Situation Awareness and Perceived Sleepiness during Truck Platoon Driving - Insights from Eye-tracking Data
    Castritius, Sarah-Maria
    Schubert, Patric
    Dietz, Christoph
    Hecht, Heiko
    Huestegge, Lynn
    Liebherr, Magnus
    Haas, Christian T.
    INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, 2021, 37 (15) : 1467 - 1477
  • [8] Using Eye-Tracking Data to Predict Situation Awareness in Real Time During Takeover Transitions in Conditionally Automated Driving
    Zhou, Feng
    Yang, X. Jessie
    de Winter, Joost C. F.
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (03) : 2284 - 2295
  • [9] Eye-tracking consumers' awareness of beef brands
    Lombard, W. A.
    Van Zyl, J. H.
    Beelders, T. R.
    AGREKON, 2020, 59 (02) : 156 - 168
  • [10] Improving Human-Robot Team Transparency with Eye-tracking based Situation Awareness Assessment
    Aderinto, Favour
    Smith, Josh Bhagat
    Giolando, Mark-Robin
    Baskaran, Prakash
    Adams, Julie A.
    COMPANION OF THE 2024 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI 2024 COMPANION, 2024, : 177 - 181