Ali Pay Intelligent Navigation Applet-aided Pre-hospital Triage for Non-emergency Medical Service Patients With Acute Ischemic Stroke: A Step-wedge Cluster Randomized Controlled Trial
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 20,000
- 试验地点
- 1
- 主要终点
- Modified rankin scale (mRS) scores of 0-2 at 90 days after reperfusion therapy
研究概览
简要总结
According to the Bigdata Observatory platform for Stroke of China (BOSC), the proportion of patients with acute ischemic stroke (AIS) receiving intravenous thrombolysis or endovascular treatment in China is 5.64% and 1.45% respectively. One of the important reasons for the low treatment rate is the prolonged pre-hospital and in-hospital delay. Besides, for patients receiving reperfusion therapy, the prolonged pre-treatment delay is associated with unfavorable functional outcomes.
Although tons of efforts have been made to improve the efficiency of emergency medical system in the transportation of patients with AIS, little attention has been paid to patients who arrived at hospitals on their owns, which occupying approximately 2/3 of emergency patients. This leaves a huge gap in the pre-hospital management of patietns with AIS.
Therefore, the investigators plan to develop an intelligent navigation system for patients with AIS. For the convenience of public use, this system was carried on the applet of Ali Pay, which has over 1.1 billion users in China. This system comprises of three functional modules, namely stroke knowledge education, stroke recognition and hospital recommendation. The investigators aim to explore whether this intelligent navigatino system could shorten pre-hospital delay and improve functional outcomes of patients with AIS undergoing reperfusion therapy.
详细描述
According to the Bigdata Observatory platform for Stroke of China (BOSC), the proportion of patients with acute ischemic stroke (AIS) receiving intravenous thrombolysis or endovascular treatment in China is 5.64% and 1.45% respectively. One of the important reasons for the low treatment rate is the prolonged pre-hospital and in-hospital delay. Besides, for patients receiving reperfusion therapy, the prolonged pre-treatment delay is associated with unfavorable functional outcomes.
Although tons of efforts have been made to improve the efficiency of emergency medical system in the transportation of patients with AIS, little attention has been paid to patients who arrived at hospitals on their owns, which occupying approximately 2/3 of emergency patients. This leaves a huge gap in the pre-hospital management of patietns with AIS.
Therefore, the investigators plan to develop an intelligent navigation system for patients with AIS. For the convenience of public use, this system was carried on the applet of Ali Pay, which has over 1.1 billion users in China. This system comprises of three functional modules, namely stroke knowledge education, stroke recognition and hospital recommendation.The investigators aim to explore whether this intelligent navigatino system could shorten pre-hospital delay and improve functional outcomes of patients with AIS undergoing reperfusion therapy.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Health Services Research
- 盲法
- Single (Outcomes Assessor)
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
- •Patients diagnosed as acute ischemic stroke undergoing reperfusion therapy within 24 hours of onset
排除标准
- •Patients transported to hospitals via emergency medical service
- •Patients with in-hospital stroke
结局指标
主要结局
Modified rankin scale (mRS) scores of 0-2 at 90 days after reperfusion therapy
时间窗: 90 days
次要结局
- Modified rankin scale (mRS) scores of 0-1 at 90 days after reperfusion therapy(90 days)
- Modified rankin scale (mRS) scores of 0-3 at 90 days after reperfusion therapy(90 days)
- Ordinal analysis of modified rankin scale (mRS) scores at 90 days after reperfusion therapy(90 days)
- Time interval between onset to treatment(1 day)
- Time interval between onset to hospital(1 day)
- Proportion of patients receiving reperfusion beyond time window(1 day)
- Proportion of patients receiving mechanical thrombectomy(1 day)
研究者
Min Lou
Prof. Dr.
Second Affiliated Hospital, School of Medicine, Zhejiang University