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

August 6, 2025 updated by: Min Lou, Second Affiliated Hospital, School of Medicine, Zhejiang University

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

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.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

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.

Study Type

Interventional

Enrollment (Estimated)

20000

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Min Lou, PhD, MD
  • Phone Number: 86057187783777
  • Email: lm99@zju.edu.cn

Study Locations

  • China
    • Zhejing
      • Shaoxing, Zhejing, China, 312000
        • Recruiting
        • Shaoxing people's Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

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

Exclusion Criteria:

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Ali Pay intelligent navigation applet group

Patients 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
Device: 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 nearby, recommending the stroke center in which patients are mostly likely to receive reperfusion therapy
No Intervention: Routine pre-hospital triage

Patients 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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Modified rankin scale (mRS) scores of 0-2 at 90 days after reperfusion therapy
Time Frame: 90 days
90 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Modified rankin scale (mRS) scores of 0-1 at 90 days after reperfusion therapy
Time Frame: 90 days
90 days
Modified rankin scale (mRS) scores of 0-3 at 90 days after reperfusion therapy
Time Frame: 90 days
90 days
Ordinal analysis of modified rankin scale (mRS) scores at 90 days after reperfusion therapy
Time Frame: 90 days
90 days
Time interval between onset to treatment
Time Frame: 1 day
1 day
Time interval between onset to hospital
Time Frame: 1 day
1 day
Proportion of patients receiving reperfusion beyond time window
Time Frame: 1 day
Intravenous thrombolysis: treatment initiated within 4.5 - 9 hours after onset Mechanical thrombectomy: treatment initiated within 6 - 24 hours after onset
1 day
Proportion of patients receiving mechanical thrombectomy
Time Frame: 1 day
1 day

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Second Affiliated Hospital, School of Medicine, Zhejiang University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 1, 2025

Primary Completion (Estimated)

May 1, 2026

Study Completion (Estimated)

May 1, 2026

Study Registration Dates

First Submitted

September 23, 2024

First Submitted That Met QC Criteria

September 23, 2024

First Posted (Actual)

September 25, 2024

Study Record Updates

Last Update Posted (Actual)

August 8, 2025

Last Update Submitted That Met QC Criteria

August 6, 2025

Last Verified

September 1, 2024

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • i-Path

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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