Article (Scientific journals)
Multicentre cross-sectional study to assess nursing workload in Belgian emergency departments.
Ganty, Thomas; Szecel, Julien; Diep, Anh Nguyet et al.
2025In Emergency Medicine Journal, p. 2024-214334
Peer Reviewed verified by ORBi
 

Files


Full Text
emermed-2024-214334.full.pdf
Author postprint (686.7 kB) Creative Commons License - Attribution, Non-Commercial, No Derivative
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
care systems; crowding; emergency nursing; management; safety
Abstract :
[en] [en] BACKGROUND: Excessive workload in emergency departments (ED) negatively affects patient safety, often leading to missed critical tasks due to time constraints. The Workload Assessment of Nurses on Emergency (WANE) scale developed in Belgium offers a detailed measurement of nursing workload, but its complexity makes it hard to use in practice. Our study aims to find a simpler method for assessing nursing workload in EDs. METHODS: A multicentre cross-sectional study was performed in four Belgian EDs between September 2022 and March 2023. Nursing workload was assessed using the WANE scale in each hospital, during 4-hour time periods. The associations between WANE scores, and nurses' subjective workload assessment, number of patients, patient triage levels, post-triage destination area and the Jones Dependency Tool Score were examined employing multiple linear regression models. RESULTS: 161 nurses, caring for 591 patients, were included. 67% of the variation in 'direct' care time could be explained with a model based on triage level and two items of the Jones Dependency Tool (ABC perturbation and mobility). The number of new patients admitted and nurses' perceived workload were also highly associated with the total nursing care time TNCT. The actual number of patients in the ED at any time explained 78% of the variation in TNCT. Each additional patient increases the TNTC by 45.22 min. CONCLUSIONS: Simple indicators might be used to evaluate the nursing care time in Belgian EDs. A retrospective method is suggested, using the total number of patients over a defined period of time. This study reveals a path to a predictive method to calculate the direct care time for each patient with three simple indicators, available from nursing triage stage.
Disciplines :
Public health, health care sciences & services
Author, co-author :
Ganty, Thomas;  Hôpitaux Iris Sud HIS, Brussel, Brussel, Belgium
Szecel, Julien ;  Centre Hospitalier Universitaire de Liège - CHU > > Service des urgences
Diep, Anh Nguyet  ;  Université de Liège - ULiège > Santé publique : de la Biostatistique à la Promotion de la Santé
Ghuysen, Alexandre  ;  Université de Liège - ULiège > Département des sciences de la santé publique > Simulation en santé publique ; Centre Hospitalier Universitaire de Liège - CHU > > Service des urgences
Paquay, Méryl   ;  Université de Liège - ULiège > Département des sciences de la santé publique > Management des organisations de santé publique - aspects généraux ; Université de Liège - ULiège > Département des sciences de la santé publique ; Centre Hospitalier Universitaire de Liège - CHU > > Service des urgences
 These authors have contributed equally to this work.
Language :
English
Title :
Multicentre cross-sectional study to assess nursing workload in Belgian emergency departments.
Publication date :
13 February 2025
Journal title :
Emergency Medicine Journal
ISSN :
1472-0205
eISSN :
1472-0213
Publisher :
BMJ, England
Pages :
emermed-2024-214334
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 17 February 2025

Statistics


Number of views
9 (3 by ULiège)
Number of downloads
10 (4 by ULiège)

OpenCitations
 
0
OpenAlex citations
 
0

Bibliography


Similar publications



Contact ORBi