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利用任务诱发瞳孔反应预测模拟训练期间的临床操作表现。

Using Task-Evoked Pupillary Response to Predict Clinical Performance during a Simulation Training.

作者信息

Mauriz Elba, Caloca-Amber Sandra, Vázquez-Casares Ana M

机构信息

Department of Nursing and Physiotherapy, Universidad de León, Campus de Vegazana, s/n, 24071 León, Spain.

Institute of Food Science and Technology (ICTAL), La Serna 58, 24007 León, Spain.

出版信息

Healthcare (Basel). 2023 Feb 4;11(4):455. doi: 10.3390/healthcare11040455.

DOI:10.3390/healthcare11040455
PMID:36832990
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9956315/
Abstract

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 (R = 0.280; F (6, 41) = 2.660; < 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.

摘要

在完成任务时,医疗技能培训可能会受到学员工作量的影响。由于认知加工需求与临床绩效呈负相关,通过客观测量来评估心理工作量至关重要。本研究旨在调查瞳孔大小的任务诱发变化,将其作为心理工作量和临床绩效的可靠指标。49名护理专业学生参与了一次基于心脏骤停模拟的实践。根据表现得分,整个过程中对认知需求(NASA任务负荷指数)、生理参数(血压、血氧饱和度和心率)以及瞳孔反应(最小、最大和直径差值)的测量显示出统计学上的显著差异。多元回归模型分析得出,瞳孔直径差值与心率、收缩压、工作量和表现之间存在统计学上的显著模式(R = 0.280;F(6, 41) = 2.660;< 0.028;d = 2.042)。研究结果表明,瞳孔变化有望成为补充生理指标的指标,用于预测医疗实践中的心理工作量和临床绩效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/9956315/1d334607ffa2/healthcare-11-00455-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/9956315/1d334607ffa2/healthcare-11-00455-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8cc9/9956315/1d334607ffa2/healthcare-11-00455-g001.jpg

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本文引用的文献

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Provider Visual Attention Correlates With the Quality of Pediatric Resuscitation: An Observational Eye-Tracking Study.提供者的视觉注意力与儿科复苏质量相关:一项观察性眼动追踪研究。
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When medical trainees encountering a performance difficulty: evidence from pupillary responses.当医学实习生遇到表现困难时:瞳孔反应的证据。
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Detecting Task Difficulty of Learners in Colonoscopy: Evidence from Eye-Tracking.
结肠镜检查中学习者任务难度的检测:来自眼动追踪的证据
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Pupil response as an indicator of hazard perception during simulator driving.瞳孔反应作为模拟驾驶中危险感知的指标。
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