Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/5875
Title: Repeated assessments and predictors of nurses' shift-specific perceived workload
Authors: Dhaini, Suzanne R
Abed Al Ahad, Mary
Simon, Michael
Ausserhofer, Dietmar
Abu-Saad Huijer, Huda 
Elbejjani, Martine
Affiliations: Faculty of Health Sciences 
Keywords: NASA-TLX
Hospital
Nursing
Workload repeated
Issue Date: 2022-07-05
Publisher: National Library of Medicine
Part of: Nursing Forum
Volume: 57
Issue: 6
Start page: 1026
End page: 1033
Abstract: 
Background
Workload perception is of interest to researchers and policymakers as it captures subjective assessments of nurses' workload which has implications for staffing and patient outcomes.

Aims
We aimed to describe repeated assessments of nurses' perceived workload among registered nurses (RNs) in day and night shifts and to examine the association of perceived workload with workdays, units, and nurse-staffing.

Methods
Repeated data on the indictors of interest were collected from 90 RNs across 91 shifts in a Lebanese acute-care hospital. Perceived workload was assessed using the NASA-Task-Load Index (NASA-TLX). Linear mixed-effect models were used for analysis.

Results
Mean perceived workload was high reaching 6.63 (95% confidence interval [CI] = 6.34, 6.92) in day and 5.90 (95% CI = 5.43, 6.36) in night shifts. In mixed-effect models, perceived workload was lower on weekends/holidays as compared to weekdays in day (ß = −.32; 95% CI = −0.53, −0.12) and night (ß = −.46; 95% CI = −0.85, −0.07) shifts. Higher perceived workload (ß = .19; 95% CI = 0.04, 0.33) was associated with higher patient-to-nurse ratio in the day but not night shifts.

Conclusion
Repeated workload assessments support the presence of elevated perceived workload among RNs which is related to weekdays and higher patient-to-nurse ratio. Future investigations would benefit from better characterization of workload particularities to address perceived burden and improve organizational and management decisions.
URI: https://scholarhub.balamand.edu.lb/handle/uob/5875
ISSN: 00296473
DOI: 10.1111/nuf.12776
Ezproxy URL: Link to full text
Type: Journal Article
Appears in Collections:Nursing Program

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