Dippenaar Enrico
Division of Emergency Medicine University of Cape Town Cape Town South Africa.
Emergency Medicine Research Group Anglia Ruskin University Chelmsford UK.
Nurs Open. 2020 May 26;7(5):1468-1474. doi: 10.1002/nop2.518. eCollection 2020 Sep.
To describe, compare and correlate the number of patients seen, their demographics, triage category allocations and principal diagnosis in four emergency centres; to better understand the patient population and triage practices in this setting.
An observational, cross-sectional, epidemiological study.
Electronic medical records were retrospectively evaluated from patients triaged in each of the four emergency centres over six months. Descriptive statistics were used to describe the patient demographics and variance between triage category allocations.
A total of 56,984 patient records were captured, with an equal gender split and the workforce being the largest patient population (20-50 years). Acute upper respiratory infection was the most prolific diagnosis, and lower acuity triage categories were allocated the most. There were inconsistencies in the application of triage systems between the emergency centres, the most obvious being the variance in triage system selection and application.
描述、比较并关联四个急诊科的就诊患者数量、人口统计学特征、分诊类别分配及主要诊断;以便更好地了解该环境下的患者群体和分诊实践。
一项观察性、横断面流行病学研究。
对四个急诊科在六个月内分诊的患者电子病历进行回顾性评估。采用描述性统计来描述患者的人口统计学特征以及分诊类别分配之间的差异。
共收集到56984份患者记录,男女比例均等,劳动力人群(20至50岁)是最大的患者群体。急性上呼吸道感染是最常见的诊断,分配到较低急症分诊类别的患者最多。各急诊科在分诊系统的应用上存在不一致,最明显的是分诊系统选择和应用的差异。