The Lithuanian Stroke Database: selection of national stroke care performance measures
The Lithuanian Stroke Database establishes a standardised automated framework for monitoring stroke care using 53 KPIs, selected through a multi-stage Delphi process involving all relevant stakeholders.
Authors
- Vaidas Matijošaitis (ORCID: https://orcid.org/0000-0001-9940-0255)
- Saulius Taroza
- Austėja Dapkutė (ORCID: https://orcid.org/0000-0001-7508-0971)
- Andrius Klimašauskas (ORCID: https://orcid.org/0009-0005-6552-4926)
- Aleksandras Vilionskis (ORCID: https://orcid.org/0000-0002-8055-3558)
- Daiva Rastenytė (ORCID: https://orcid.org/0000-0002-5603-2357)
- Rytis Masiliūnas (ORCID: https://orcid.org/0000-0002-8033-9682)
- Justas Trinkūnas (ORCID: https://orcid.org/0000-0002-6559-049X)
- Dalius Jatužis (ORCID: https://orcid.org/0000-0001-6159-4795)
- Julius Juodakis
- Julius Jaramavičius
- Sandra Baužaitė-Babušienė
Institutions
- Lithuanian University of Health Sciences (LT)
- Vilnius Gediminas Technical University (LT)
- Vilnius University (LT)
- Klaipėda University (LT)
- Vilnius University of Applied Sciences (LT)
- Panevėžys College (LT)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-05-23
- DOI
- https://doi.org/10.3389/fneur.2025.1550539
- Primary Topic
- Delphi Technique in Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission