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Tele-Stroke: Prehospital Identification of Patients With Suspected Stroke Using Onsite Mobile Telemedicine - Feasibility

Completed
Conditions
Stroke, Acute
Registration Number
NCT03370094
Lead Sponsor
University Hospital, Basel, Switzerland
Brief Summary

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.

Detailed Description

On-site, pre-hospital clinical assessment of patients with suspected acute stroke can accelerate further diagnostic and treatment pathways after patient arrival at the emergency room or the dedicated stroke center. Interactive video and audio streaming connecting on-site paramedics to a stroke center based stroke physicians can help to overcome these hurdles. Patient evaluation by simple, pre-defined assessment measures and a standardized questionnaire may enable a pre-hospital decision on the need of expedited diagnostic and treatment procedures after arrival at the dedicated stroke center.

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
117
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)

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Diagnostic accuracy of the patient evaluation by remote Audio/video session1 hour

The proportion of successfully realized 'telestroke' interviews (=patient has a stroke yes/no) in comparison to final diagnosis by the caring stroke team.

Secondary Outcome Measures
NameTimeMethod
Diagnostic accuracy of an automated biometric software12 months

The proportion of correct stroke diagnosis by the automatic biometric assessment compared to the final diagnosis of the caring stroke team.

Trial Locations

Locations (1)

University Hospital

🇨🇭

Basel, Switzerland

University Hospital
🇨🇭Basel, Switzerland

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