Assessing emergency department physician workload: A NASA-TLX analysis by experience and care type.

IF 3.4 Q2 EMERGENCY MEDICINE
Donghyun Kim, Junsang Yoo, Ye Rim Lee, Ji Sim Yoon, Seung Jin Maeng, Minha Kim, Sejin Heo, Jong Eun Park, Gun Tak Lee, Se Uk Lee, Taerim Kim, Sung Yeon Hwang, Hee Yoon, Won Chul Cha, Hansol Chang
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Abstract

Objective: Emergency department (ED) physicians face substantial cognitive and physical demands, yet workload data applicable to real-world staffing and operational decisions remain limited. This study aimed to quantify perceived workload across diverse ED tasks using the NASA Task Load Index (NASA-TLX) and to determine how workload varies by physician experience, patient acuity, and clinical context. A secondary aim was to generate practical insights that may inform resource allocation and experience-based task distribution in the ED.

Methods: We conducted an observational survey of interns, residents, and specialists working in the ED of a tertiary hospital between June and July 2022. NASA-TLX questionnaires were administered to assess workload across common procedures and patient-care tasks. Analyses were stratified by physician experience, Korean Triage and Acuity Scale (KTAS) level, and chief complaint. Nonparametric methods were used to evaluate differences in workload patterns.

Results: Sixty physicians participated (30 interns, 30 residents/specialists). Procedures with high technical complexity, such as thoracentesis and lumbar puncture, showed the highest workload among interns. Among residents, workload decreased from postgraduate year 1 to 3 but rose again in year 4, reflecting increased supervisory responsibilities. Higher patient acuity (KTAS 1-2) and neurological chief complaints were consistently associated with elevated workload across all experience levels.

Conclusion: Perceived workload in the ED varies significantly by task type, experience level, and patient acuity. These findings provide actionable data that may support evidence-based staffing decisions, workload redistribution, and training strategies to optimize physician performance and mitigate cognitive overload in resource-limited emergency departments.

评估急诊科医生工作量:根据经验和护理类型进行NASA-TLX分析。
目的:急诊科(ED)医生面临着大量的认知和身体需求,但适用于现实世界人员配置和操作决策的工作量数据仍然有限。本研究旨在使用NASA任务负荷指数(NASA- tlx)量化不同ED任务的感知工作量,并确定工作量如何随医生经验、患者敏锐度和临床环境而变化。第二个目的是产生实用的见解,为急诊室的资源分配和基于经验的任务分配提供信息。方法:我们在2022年6月至7月期间对一家三级医院急诊室的实习生、住院医生和专家进行了观察性调查。NASA-TLX问卷用于评估普通程序和患者护理任务的工作量。分析按医师经验、韩国分诊和视力量表(KTAS)水平和主诉进行分层。非参数方法用于评估工作负荷模式的差异。结果:60名医生参与其中(实习生30名,住院医师/专科医师30名)。技术复杂性高的手术,如胸腔穿刺和腰椎穿刺,在实习生中工作量最大。在住院医师中,从研究生一年级到三年级,工作量有所下降,但在研究生四年级又有所上升,这反映出监督职责的增加。在所有经验水平中,较高的患者敏锐度(KTAS 1-2)和神经系统主诉始终与工作量增加相关。结论:急诊科的感知工作量因任务类型、经验水平和患者的视敏度而有显著差异。这些发现提供了可操作的数据,可以支持基于证据的人员配置决策、工作量再分配和培训策略,以优化医生的表现,减轻资源有限的急诊科的认知超载。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.80
自引率
10.50%
发文量
59
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