Repeated assessments and predictors of nurses' shift-specific perceived workload

Suzanne R. Dhaini, Mary Abed Al Ahad, Michael Simon, Dietmar Ausserhofer, Huda Abu‐Saad Huijer, Martine Elbejjani*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)1026-1033
Number of pages8
JournalNursing Forum
VolumeEarly View
Early online date5 Jul 2022
DOIs
Publication statusPublished - 18 Dec 2022

Keywords

  • Hospital
  • Workload repeated
  • Nursing
  • NASA-TLX

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