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What determines physical, mental and emotional workloads on nurses? A cross‐sectional study.
- Source :
- Journal of Nursing Management; Nov2022, Vol. 30 Issue 8, p4387-4397, 11p
- Publication Year :
- 2022
-
Abstract
- Aim: This study aimed to identify determinants of physical, mental and emotional nursing workloads. Background: Workload has a physical, mental and emotional dimension. It influences employees' well‐being and quality of care. Nevertheless, studies of specific predictors for each dimension of nurses' workload are scarce. Methods: We used a cross‐sectional prospective design based on the Job Demand‐Resources theory. We asked nurses to describe workload perceived at the end of every shift over three consecutive weeks. Data were gathered from two academic hospitals, in seven medical–surgical wards. We received 259 responses and tested 2 multivariate regression models. Results: Physical workload was predicted from all variables tested; mental workload was determined by patient complexity or isolation, adequacy of nurse staffing and skill‐mix, and unscheduled activities; and emotional workload was predicted by all variables except adequacy of staffing and other people's education. Conclusions: Patient, nurse and workflow aspects influenced nurse's shift workload differently for each specific dimension. Implications for Nursing Management: Measurement and definition of predictors of workload in the work environment are essential. Recognizing the determinants of specific dimensions of workload facilitates identification of the most appropriate interventions to improve nurses' well‐being in health care settings. [ABSTRACT FROM AUTHOR]
- Subjects :
- MEDICAL quality control
STRUCTURAL equation modeling
NURSES' attitudes
NURSING
ACADEMIC medical centers
RESEARCH evaluation
JOB stress
CROSS-sectional method
NURSING specialties
MULTIVARIATE analysis
REGRESSION analysis
NURSE supply & demand
EMPLOYEES' workload
CLINICAL competence
QUESTIONNAIRES
NURSES
SCALE analysis (Psychology)
RESEARCH funding
EMOTIONS
LABOR market
WORKING hours
LONGITUDINAL method
Subjects
Details
- Language :
- English
- ISSN :
- 09660429
- Volume :
- 30
- Issue :
- 8
- Database :
- Complementary Index
- Journal :
- Journal of Nursing Management
- Publication Type :
- Academic Journal
- Accession number :
- 161008701
- Full Text :
- https://doi.org/10.1111/jonm.13862