Quantifying emergency department nursing workload at the task level using NASA-TLX: An exploratory descriptive study

Author:

Park Sookyung,Yoo Junsang,Lee Yerim,DeGuzman Pamela Baker,Kang Min-Jeoung,Dykes Patricia C.,Shin So Yeon,Cha Won Chul

Funder

National Research Foundation of Korea

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Reference41 articles.

1. On the threshold of safety: a qualitative exploration of nurses’ perceptions of factors involved in safe staffing levels in emergency departments;Wolf;J Emerg Nurs,2017

2. Carayon P, Gurses AP. Nursing workload and patient safety—a human factors engineering perspective. Patient safety and quality: an evidence-based handbook for nurses 2008. https://www.ncbi.nlm.nih.gov/books/NBK2657/ (accessed June 20, 2023).

3. Macphee M, Dahinten VS, Havaei F, Wagner J. The impact of heavy perceived nurse workloads on patient and nurse outcomes; 2017. doi: 10.3390/admsci7010007.

4. Skåne emergency department assessment of patient load (SEAL)—a model to estimate crowding based on workload in Swedish emergency departments;Wretborn;PLoS One,2015

5. American College of Emergency Physicians. Crowding (policy statement): Approved January 2006. 2006. https://www.acep.org/patient-care/policy-statements/crowding (accessed May 21, 2023).

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