跳至主要内容
临床试验/NCT03375658
NCT03375658Unknown不适用

Cluster Randomized Trial of the Patient Deterioration Warning System in Emergency Departments

University of Southern Denmark2 个研究点 分布在 1 个国家目标入组 6,500 人开始时间: 2018年5月18日最近更新:
适应症
干预措施

试验速览

阶段
不适用
入组人数
6,500
试验地点
2
主要终点
In-hospital deterioration

研究概览

简要总结

The overall goal of the project is to reduce the number of unexpected patient deteriorations by 50% at Emergency Departments (ED) by investigating if the novel Patient Deterioration Warning Systems (PDWS), can improve clinicians' ability to identify deterioration at an earlier stage.

A third of all acute medical patients with normal vital signs at arrival, experience a deterioration in vital signs during the 24 first hours. This can potentially lead to dire consequences for these patients, as the risk of deterioration is present across all severity levels. The utilization of patient monitoring systems in the dispersed and shared working environments of EDs and acute wards may help to identify some of the reasons for failure to rescue patients. Thus, quantifying the extent to which a patient is being monitored, may be an aid to bridge the current gap between usage of automated and manual monitoring as clinical work will continue to depend on tacit knowledge and intuition.

Several systems and protocols have been established to swiftly deal with identified deterioration. Most systems struggle with issues of clinical adherence and are difficult to assess on-the-fly, and in some cases nurses failed to notice abnormality in 43% of patients experiencing deterioration. Although the trajectories of patients' vital signs have been identified as more important than the initial scoring value, most of the widely used Track and Trigger systems lack a temporal aspect. Furthermore, a limited number of these Track and Trigger systems have been integrated into real time clinical decision support systems, which has not evolved much in the last decades.

The PDWS deals with these challenges by aggregating and summarizing all vital values measured with the ED's patient monitors in the ongoing admission to intuitively present the state and trajectory. The investigators intend to determine if making the PDWS system available to nurses and physicians throughout the entire ED improves their ability to identify patients at risk of deterioration. To make this assessment, the PDWS will be evaluated in a cluster randomized trial (CRT) at two ED facilities in Denmark. The CRT is structured in three 5-week intervention, and three 5-week control periods, separated by a washout period of at least one week. The primary outcome is in-hospital deterioration - defined as transfer to the intensive care unit, heart/respiratory failure or death. The effect the PDWS will be assessed by comparing the proportions of events in each study arm using Pearsons's chi-squared test on these two samples. Furthermore, the technical and economical effects are evaluated using the Technology Acceptance Model, and the Model for Assessment of Telemedicine.

研究设计

研究类型
Interventional
分配方式
Non Randomized
干预模型
Parallel
主要目的
Supportive Care
盲法
None

入排标准

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

入选标准

  • •All adult patients admitted to the emergency department

排除标准

  • •Critically ill patients who die during their admission
  • •Orthopedic patients with minor injuries

研究组 & 干预措施

Control arm

No Intervention

Usual care

Intervention arm

Experimental

All vital signs registered as part of usual care are used for modelling patients state and trajectories and made available to clinicans via the Patient Deterioration Warning System in nursing and physician offices.

干预措施: PDWS Intervension (Other)

结局指标

主要结局

In-hospital deterioration

时间窗: Admission length (1-7 days)

Defined as transfer to intensive care units, heart/respiratory failure, and in-hospital mortality. Events are reviewed by experts to exclude cases expected of deterioration at time of arrival.

次要结局

  • Economic effect of PDWS(35 weeks)
  • Acceptance of novel patient monitoring system(35 weeks)
  • Reduction in length of stay(Admission length (1-7 days))
  • Monitoring load effect(Admission length (1-7 days))

研究者

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

Thomas Schmidt

Assistant Professor

University of Southern Denmark

研究点 (2)

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