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  • 标题:Organizational factors affecting length of stay in the emergency department: initial observational study
  • 本地全文:下载
  • 作者:Osnat Bashkin ; Sigalit Caspi ; Rachel Haligoa
  • 期刊名称:Israel Journal of Health Policy Research
  • 印刷版ISSN:2045-4015
  • 电子版ISSN:2045-4015
  • 出版年度:2015
  • 卷号:4
  • 期号:1
  • 页码:38
  • DOI:10.1186/s13584-015-0035-6
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:Length of stay (LOS) is considered a key measure of emergency department throughput, and from the perspective of the patient, it is perceived as a measure of healthcare service quality. Prolonged LOS can be caused by various internal and external factors. This study examined LOS in the emergency department and explored the main factors that influence LOS and cause delay in patient care. Observations of 105 patients were performed over a 3-month period at the emergency room of a community urban hospital. Observers monitored patients from the moment of entrance to the department until discharge or admission to another hospital ward. Analysis revealed a general average total emergency department LOS of 438 min. Significant differences in average LOS were found between admitted patients (Mean = 544 min, SD = 323 min) and discharged patients (Mean = 291 min, SD = 286 min). In addition, nurse and physician change of shifts and admissions to hospital wards were found to be significant factors associated with LOS. Using an Ishikawa causal diagram, we explored various latent organizational factors that may prolong this time. The study identified several factors that are associated with high average emergency department LOS. High LOS may lead to increases in expenditures and may have implications for patient safety, whereas certain organizational changes, communication improvement, and time management may have a positive effect on it. Interdisciplinary methods can be used to explore factors causing prolonged emergency department LOS and contribute to a better understanding of them.
  • 关键词:Emergency department ; Length of stay ; Organizational factors ; Ishikawa causal diagram
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