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Identification of Stroke at the Emergency Medical Dispatch Center

Identification of Stroke at the Emergency Medical Dispatch Center

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04784936
Acronym
IdStroke
Enrollment
179
Registered
2021-03-05
Start date
2010-09-30
Completion date
2013-10-30
Last updated
2021-03-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Stroke

Brief summary

A study to investigate how stroke is identified and whether FAST, face-arm-speech test, is used in the emergency medical dispatch centre in Stockholm. The study will also investigate when FAST is used, does it increase the identification of stroke? And if other factors can be identified as markers for more effective identification of stroke during the emergency call.

Detailed description

Transcribed alarm calls are read through and analyzed using a qualitative method. Meaningful units are identified, coded and categorized. A phenomenological analysis is also applied to a separate analysis.

Interventions

None listed

Sponsors

Karolinska Institutet
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Patients who has called the emergency medical dispatch centre and also are diagnosed as stroke at Södersjukhuset during the study period.

Exclusion criteria

* Cases where needed documents and files are missing.

Design outcomes

Primary

MeasureTime frameDescription
Frequency of stroke symptoms1 hA data collection tool assessing the frequency of stroke symptoms will be developed. The data collection tool will identify stroke symptoms presented by the caller during emergency calls and assess stroke symptoms in the Face-Arm-Speech-Time Test (FAST). Stroke symptoms will then be quantified into percentages for a descriptive analysis.

Countries

Sweden

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026