Ali Pay Intelligent Navigation Applet-aided Pre-hospital Triage for Non-emergency Medical Service Patients With Acute Ischemic Stroke

Официальное название

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

Обзор

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.

Подробное описание

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.

Вмешательства

• Устройство Ali Pay intelligent navigation applet
  The intelligent navigation applet comprises of three function modules: 1. Stroke knowledge public education: information regarding prevention and emergency treatment of stroke would be push to users\' mobile phones regularly; 2. Stroke recognition: questionaires, voice interaction, and facial recognition are employed to identify patients with AIS and large vessel occlusion; 3. Hospital recommendation: this module combines real-time traffic and average in-hopital delay of each stroke center

Первичные конечные точки

• Modified rankin scale (mRS) scores of 0-2 at 90 days after reperfusion therapy [Срок оценки: 90 days]

Вторичные конечные точки (7)

• Modified rankin scale (mRS) scores of 0-1 at 90 days after reperfusion therapy [Срок оценки: 90 days]
• Modified rankin scale (mRS) scores of 0-3 at 90 days after reperfusion therapy [Срок оценки: 90 days]
• Ordinal analysis of modified rankin scale (mRS) scores at 90 days after reperfusion therapy [Срок оценки: 90 days]
• Time interval between onset to treatment [Срок оценки: 1 day]
• Time interval between onset to hospital [Срок оценки: 1 day]
• Proportion of patients receiving reperfusion beyond time window [Срок оценки: 1 day]
• Proportion of patients receiving mechanical thrombectomy [Срок оценки: 1 day]

Критерии участия

Критерии включения

• Patients diagnosed as acute ischemic stroke undergoing reperfusion therapy within 24 hours of onset

Критерии исключения

• Patients transported to hospitals via emergency medical service
• Patients with in-hospital stroke

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Нет

Дизайн исследования

Распределение

Рандомизированное

Модель

Параллельные группы

Маскирование

Простое слепое

Основная цель

Организация здравоохранения

Центры проведения

Китай · 1 центр

• Shaoxing People's Hospital — Shaoxing

Идентификаторы

NCT: NCT06613074 · i-Path

Первоисточники (государственные реестры)

• ClinicalTrials.gov (NIH, США)

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