Ali Pay Intelligent Navigation Applet-aided Pre-hospital Triage for Non-emergency Medical Service Patients With Acute Ischemic Stroke
i-Path
1 other identifier
interventional
20,000
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Apr 2025
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 23, 2024
CompletedFirst Posted
Study publicly available on registry
September 25, 2024
CompletedStudy Start
First participant enrolled
April 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2026
CompletedAugust 8, 2025
September 1, 2024
1.1 years
September 23, 2024
August 6, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Modified rankin scale (mRS) scores of 0-2 at 90 days after reperfusion therapy
90 days
Secondary Outcomes (7)
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
- +2 more secondary outcomes
Study Arms (2)
Ali Pay intelligent navigation applet group
EXPERIMENTALPatients in regions with Ali Pay intelligent navigation applet being released would be classified as experimental arm. In this arm, patients have access to this 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 nearby, recommending the stroke center in which patients are mostly likely to receive reperfusion therapy
Routine pre-hospital triage
NO INTERVENTIONPatients in regions without Ali Pay intelligent navigation applet being released would be classified as control arm. In this arm, patients do not have access to this applet.
Interventions
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 nearby, recommending the stroke center in which patients are mostly likely to receive reperfusion therapy
Eligibility Criteria
You may qualify if:
- Patients diagnosed as acute ischemic stroke undergoing reperfusion therapy within 24 hours of onset
You may not qualify if:
- Patients transported to hospitals via emergency medical service
- Patients with in-hospital stroke
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Shaoxing People's Hospital
Shaoxing, Zhejing, 312000, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Prof. Dr.
Study Record Dates
First Submitted
September 23, 2024
First Posted
September 25, 2024
Study Start
April 1, 2025
Primary Completion
May 1, 2026
Study Completion
May 1, 2026
Last Updated
August 8, 2025
Record last verified: 2024-09