Use of a handheld, computerized device as a decision support tool for stroke

Use of a handheld, computerized device as a decision support tool for stroke classification

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

CRIS

Registry ID

KCT0000219

Enrollment

Registered

2011-10-29

Start date

2010-10-20

Completion date

Unknown

Last updated

2019-03-11

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

Conditions

None listed

Interventions

Medical Device : Four neurology residents were randomly assigned to classify stroke subtypes using iTOAST or the conventional method (cTOAST). Using a crossover design, they classi?ed the stroke subty

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Acute ischemic stroke patients

Exclusion criteria

Exclusion criteria: -

Design outcomes

Primary

Measure	Time frame
Stroke subtype	—

Secondary

Measure	Time frame
Error rate	—

Countries

Korea, Republic of

Contacts

Public ContactHyo Suk Nam

Yonsei University Health System

hsnam@yuhs.ac+82-2-2228-1605

Outcome results