Rates of perceived medical errors and its correlation with work-related factors and personal distress among emergency physicians in China: a national cross-sectional study
Abstract
Purpose Medical errors are a global concern, and specifically, EDs are at considerable risk for medical errors. Few studies focus on the healthcare provider’s self-perceived medical errors in hospitals, let alone the ED. Hence, this study explored perceived medical errors and their correlation with work-related factors and personal distress among physicians in EDs in China. Methods From July 2018 to August 2018, a national web-based cross-sectional study was conducted. The link to the web-based questionnaire was posted on the emergency physicians’ working platform, inviting Chinese licensed emergency physicians to participate anonymously in this survey. Our outcome of interest, medical errors, was investigated using self-reporting methods. Occupational stress was assessed using the Chinese version of the Effort-Reward Imbalance scale. The Patient Health Questionnaire, the subscale of the 10-item Positive and Negative Affect Schedule, the subscale of the validated Leiden Quality of Work Questionnaire and the 10-item Generalised Self-efficacy Scale were used to assess personal distress. Logistic regression analysis was used to determine factors significantly associated with perceived medical errors. Results A sample of 10 457 emergency physicians completed the survey. Almost half (43.63%) of physicians reported self-perceived medical errors during the previous 3 months. The rate of workplace verbal aggression, effort-reward imbalance and depressive symptoms were 81.81%, 78.39%…
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.