Ontology highlight
ABSTRACT: Aim
To explore predictors of perceived nursing workload in relation to patients, nurses and workflow.Background
Nursing workload is important to health care organisations. It determines nurses' well-being and quality of care. Nevertheless, its predictors are barely studied.Methods
A cross-sectional prospective design based on the complex adaptive systems theory was used. An online survey asked nurses to describe perceived workload at the end of every shift. Data were gathered from five medical-surgical wards over three consecutive weeks. We received 205 completed surveys and tested multivariate regression models.Results
Patient acuity, staffing resources, patient transfers, documentation, patient isolation, unscheduled activities and patient specialties were
SUBMITTER: Ivziku D
PROVIDER: S-EPMC9300160 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature