Predictive and individualized management of stroke-success story in Czech Republic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11140%2F18%3A10384506" target="_blank" >RIV/00216208:11140/18:10384506 - isvavai.cz</a>
Alternative codes found
RIV/00669806:_____/18:10384506
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007%2Fs13167-018-0150-x.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2Fs13167-018-0150-x.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s13167-018-0150-x" target="_blank" >10.1007/s13167-018-0150-x</a>
Alternative languages
Result language
angličtina
Original language name
Predictive and individualized management of stroke-success story in Czech Republic
Original language description
The model of centralized stroke care in the Czech Republic was created in 2010-2012 by Ministry of Health (MH) in cooperation with professional organization-Cerebrovascular Section of the Czech Neurological Society (CSCNS). It defines priorities of stroke care, stroke centers, triage of suspected stroke patients, stroke care quality indicators, their monitoring, and reporting. Thirteen complex cerebrovascular centers (CCC) provide sophisticated stroke care, including intravenous thrombolysis (IVT), mechanical thrombectomy (MTE), as well as other endovascular (stenting, coiling) and neurosurgical procedures. Thirty-two stroke centers (SC) provide stroke care except endovascular procedures and neurosurgery. The triage is managed by emergency medical service (EMS). The most important quality indicators of stroke care are number of hospitalized stroke patients, number of IVT, number of MTE, stenting and coiling, number of neurosurgical procedures, and percentage of deaths within 30days. Indicators provided into the register of stroke care quality (RES-Q) managed by CSCNS are time from stroke onset to hospital admission, door-to-needle time, door-to-groin time, type of ischemic stroke, and others. Data from RES-Q are shared to all centers. Within the last 5years, the Czech Republic becomes one of the leading countries in acute stroke care. The model of centralized stroke care is highly beneficial and effective. The quality indicators serve as tool of control of stroke centers activities. The sharing of quality indicators is useful tool for mutual competition and feedback control in each center. This comprehensive system ensures high standard of stroke care. This system respects the substantial principles of personalized medicineind-ividualized treatment of acute stroke and other comorbidities at the acute disease stage; optimal prevention, diagnosis and treatment of possible complications; prediction of further treatment and outcome; individualized secondary prevention, exactly according to the stroke etiology. The described model of stroke care optimally meets criteria of predictive, preventive, and personalized medicine (PPPM), and could be used in other countries as well with the aim of improving stroke care quality in general.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
<a href="/en/project/LO1503" target="_blank" >LO1503: BIOMEDIC</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
EPMA Journal [online]
ISSN
1878-5085
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
4
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
9
Pages from-to
393-401
UT code for WoS article
000451597800006
EID of the result in the Scopus database
2-s2.0-85057444134