Stroke, Acute Clinical Trial
— Tele-StrokeOfficial title:
Prehospital Identification of Patients With Suspected Stroke Using Onsite Mobile Telemedicine
NCT number | NCT03370094 |
Other study ID # | PP-16-23 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | August 23, 2017 |
Est. completion date | December 31, 2019 |
Verified date | January 2020 |
Source | University Hospital, Basel, Switzerland |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
Observational Study to investigate the technical feasibility, implementation into current diagnostic and treatment pathways and the diagnostic accuracy of the remote patient assessment by using mobile telecommunication ahead of hospitalization.
Status | Completed |
Enrollment | 117 |
Est. completion date | December 31, 2019 |
Est. primary completion date | December 31, 2019 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility |
Inclusion Criteria: - Any patient older or equal than 18 years with suspected acute stroke as per the first judgement of the paramedics on-site. - written informed consent by the patient, or legal representative (next-of kin) or informed consent by an independent physician not involved in the study Exclusion Criteria: -patients with symptoms not attributable to stroke in the emergency onsite ( observation of epileptic seizure, recent cerebral trauma, prior syncope or comatose state) |
Country | Name | City | State |
---|---|---|---|
Switzerland | University Hospital | Basel |
Lead Sponsor | Collaborator |
---|---|
University Hospital, Basel, Switzerland | propatient Basel |
Switzerland,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Diagnostic accuracy of the patient evaluation by remote Audio/video session | The proportion of successfully realized 'telestroke' interviews (=patient has a stroke yes/no) in comparison to final diagnosis by the caring stroke team. | 1 hour | |
Secondary | Diagnostic accuracy of an automated biometric software | The proportion of correct stroke diagnosis by the automatic biometric assessment compared to the final diagnosis of the caring stroke team. | 12 months |
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