Detailing experienced nurse decision making during acute patient care simulations

被引：5

作者：

Anton, Nicholas E. ^{[1
]}

Zhou, Guoyang ^{[1
]}

Hornbeck, Tera ^{[2
]}

Nagle, Amy M. ^{[2
]}

Norman, Susan ^{[2
]}

Shroff, Anand D. ^{[1
]}

Yu, Denny ^{[1
,3
]}

机构：

[1] Purdue Univ, Sch Ind Engn, W Lafayette, IN 47906 USA

[2] Purdue Univ, Sch Nursing, W Lafayette, IN 47907 USA

[3] 315 N Grant St, W Lafayette, IN 47907 USA

来源：

APPLIED ERGONOMICS | 2023年 / 109卷

基金：

美国国家科学基金会;

关键词：

Nursing; Eye-tracking; Simulation; Decision making; EYE-TRACKING; MOVEMENT; RELIABILITY;

D O I：

10.1016/j.apergo.2023.103988

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Introduction: Nurse decision making (DM) is critical for patient safety. Eye-tracking methods can effectively assess nurse DM. The purpose of this pilot study was to use eye-tracking methods to assess nurse DM during a clinical simulation.Materials and methods: Experienced nurses managed a simulated patient manikin who suffered from a stroke mid -simulation. We assessed nurses' gaze patterns prior to and after the stroke. DM in general was assessed by nursing faculty using a clinical judgement rubric, and dichotomously based on recognition of the stroke or not.Results: Data from eight experienced nurses was examined. For the nurses who recognized the stroke, visual attention was focused on the vital sign monitor and patient's head, which suggest those locations were consis-tently examined for correct decision-makers.Conclusions: Dwell time on general AOIs was associated with poorer DM, which may reflect poorer pattern recognition. Eye-tracking metrics may be effective to objectively assess nurse DM.

引用

页数：9

共 36 条

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