Development of an Emergency Department Safety Checklist through a global consensus process
Abstract
Emergency departments (EDs) are at high risk for medical errors. Checklist implementation programs have been associated with improved patient outcomes in other high-risk clinical settings and when used to address specific aspects of ED care. The aim of this study was to develop an ED Safety Checklist with broad applicability across different international ED settings. A three-round modified Delphi consensus process was conducted with a multidisciplinary and multinational panel of experts in emergency medicine and patient safety. Initial checklist items were identified through a systematic review of the literature. Each item was evaluated for inclusion in the final checklist during two rounds of web-based surveys and an online consensus meeting. Agreement for inclusion was defined a priori with a threshold of 80% combined agreement. Eighty panel members from 34 countries across all seven world regions participated in the study, with comparable representation from low- and middle-income and high-income countries. The final checklist contains 86 items divided into: (1) a general ED Safety Checklist focused on diagnostic evaluation, patient reassessment, and disposition and (2) five domain-specific ED Safety Checklists focused on handoff, invasive procedures, triage, treatment prescription, and treatment administration. The checklist includes key clinical tasks to prevent medical errors, as well as items to improve communication among ED team members and with patients and their…
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.