Consensus-based quality standards for emergency departments in Palestine
Abstract
OBJECTIVES: The present study aimed to establish appropriate quality standards for emergency departments (EDQS) in Palestine.
METHODS: The study comprised four phases. First, a comprehensive literature review was conducted to develop a framework for assessing healthcare services in EDs. Second, the initial set of EDQS was developed based on the review findings. Third, local experts provided feedback on the EDQS, suggesting additional standards, and giving recommendations. This feedback was analysed to create a preliminary set of EDQS. Finally, an expanded group of local emergency care experts evaluated the preliminary set, providing feedback on content and structure to contribute to the final set of EDQS.
FINDINGS: We identified quality domains in EDs and categorised them into clinical and administrative pathways. The clinical pathway comprises 39 standards across 7 subdomains: triage, treatment, transportation, medication safety, patient flow and medical diagnostic services. Expert consensus was achieved on 87.5% of these standards. The administrative domain includes 64 consensus-based standards across 9 subdomains: documentation, information management systems, access-location, design, leadership, management, workforce staffing, training, equipment, supplies, capacity-resuscitation rooms, resources for a safe working environment, performance indicators and patient safety-infection prevention and control programmes.
CONCLUSION: This study employed a rigorous approach to…
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.