跳至主要内容
临床试验/NCT02698319
NCT02698319已完成不适用

The Copenhagen Triage Algorithm

Herlev Hospital4 个研究点 分布在 1 个国家目标入组 50,000 人开始时间: 2015年4月最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
50,000
试验地点
4
主要终点
All cause mortality

研究概览

简要总结

Crowding in the emergency department (ED) is a well documented problem putting patients at risk of adverse outcomes. To combat this, most ED's use some form of triage. In the last two decades systematic triage or process triage has become the norm in most countries but this approach is supported by limited evidence. Our aim is to develop a faster triage model of only a few vital parameters, based on a data from a large cohort of unselected ED patients and evaluate if such a model combined with a clinical assessment by the ED nurse is inferior to existing triage models in a prospective cluster-randomized trial

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Crossover
主要目的
Prevention
盲法
None

入排标准

年龄范围
16 Years 至 —(Child, Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Patients presenting acutely to the Acute ward/Emergency department in two hospitals in the Capital of Denmark

排除标准

  • Patients presenting in Pediatric, Gynecological or Obstetric units

结局指标

主要结局

All cause mortality

时间窗: 30 days

Time frame starts at the beginning of the index admission, defined as first admission in the study period. Patients will be followed using central registers.

次要结局

  • Number of patients with an admission to the intensive care unit(30 days)
  • Length of stay during admission(30 days)
  • Waiting time for treatment(8 hours)
  • Number of readmissions(30 and 90 days)
  • All cause mortality(90 days)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Rasmus Bo Hasselbalch

Medical student

Herlev Hospital

研究点 (4)

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