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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