Workplace violence against healthcare workers in Emergency Departments. A case-control study
Abstract
Background and aim: Assessment and management of workplace violence (WPV) towards healthcare workers (HCWs) employed in Emergency Departments (EDs) represents a challenge for healthcare organizations worldwide. To date there is a lack of scientific data about the impact of work-shifts on the occurrence of WPV against ED HCWs. The purpose of this study was to investigate the relationship between work shift schedules and WPV against registered nurses (RNs) working on non-traditional shifts, including nights and 12-hour shifts. Methods: The authors conducted a cross-sectional nested case-control analysis of data regarding the episodes of WPV perpetrated by patients or their relatives against RNs employed in three EDs, in the period between January –December 2017. Results: The one-year incidence of WPV was 29,30 per 100 Full Time Equivalent (FTE) positions. Cumulative nightshifts were significant for 3 or more nightshifts compared to working less than 3 nightshifts during the 7 days before the episodes of WPV; additionally, RNs working 9 or more night-shifts showed higher risk of experiencing WPV compared to RNs working less than 4 night-shifts in the previous 28 days. Conclusion: In the present study shift work and WPV occurrence against ED RNs resulted interconnected; improvement interventions aimed at preventing the WPV should consider the characteristics of work shift schedules with the purposes of: 1) limiting the night shifts up to two per week and up eight per month; 2)…
How strong is the evidence?
Evidence Hub reads this as a case-control. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.