Staff perceptions of barriers to self-harm care in the emergency department: A cross-sectional survey study
Abstract
BACKGROUND
Emergency departments (EDs) are often the first point of contact for people with self-harm; however, they do not always receive optimal care. The study objective was to examine the perspectives of ED staff who respond to self-harm presentations, perceived barriers to providing optimal, guideline-concordant care, and staff's familiarity with existing guidelines.
METHODS
An online cross-sectional survey comprising purpose-designed questions concerning self-harm in the ED was completed by 131 staff (83.2% nurses) from two hospitals in Victoria, Australia. Survey results were analysed using Stata version 16 and frequencies and percentages were calculated.
RESULTS
Respondents reported knowledge of how to appropriately manage a person presenting with self-harm. However, lack of space (62.3%) and time (78.7%) to conduct the appropriate assessments, lack of self-harm training (71.8%), and limited awareness of or access to guidelines and recommendations for self-harm management within the ED (63.6%), were identified as primary barriers to their ability to appropriately manage these presenters.
CONCLUSIONS
Improvements to the ED environment and processes, as well as the provision of regular self-harm specific education and training for all ED staff are needed. Implementation of best-practice standards should prioritise guideline-concordant care, with a particular focus on the education needs of nursing staff.
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. 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.