Ignite Creation Date:
2024-10-26 @ 3:41 PM
Last Modification Date:
2024-10-26 @ 3:41 PM
Study NCT ID:
NCT06613074
Status:
NOT_YET_RECRUITING
Last Update Posted:
None
First Post:
2024-09-23
Brief Title:
Ali Pay Intelligent Navigation Applet-aided Pre-hospital Triage for Non-emergency Medical Service Patients with Acute Ischemic Stroke
Sponsor:
None
Organization:
None
Study Overview
Official Title:
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
Status:
NOT_YET_RECRUITING
Status Verified Date:
2024-09
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
i-Path
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 564 and 145 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 23 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 11 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
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 23 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 11 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
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 564 and 145 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 23 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 11 billion users in China This system comprises of three functional modules namely stroke knowledge education stroke recognition and hospital recommendationThe 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
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 23 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 11 billion users in China This system comprises of three functional modules namely stroke knowledge education stroke recognition and hospital recommendationThe 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 Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None