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Diagnostic investigations in adults with suspected stroke-improvement of door-to-imaging time: a best practice implementation project

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F25%3A00081776" target="_blank" >RIV/65269705:_____/25:00081776 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14110/25:00140744 RIV/61989592:15410/25:73635849 RIV/00159816:_____/25:00082321

  • Result on the web

    <a href="https://journals.lww.com/ijebh/abstract/9900/diagnostic_investigations_in_adults_with_suspected.160.aspx" target="_blank" >https://journals.lww.com/ijebh/abstract/9900/diagnostic_investigations_in_adults_with_suspected.160.aspx</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1097/XEB.0000000000000497" target="_blank" >10.1097/XEB.0000000000000497</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Diagnostic investigations in adults with suspected stroke-improvement of door-to-imaging time: a best practice implementation project

  • Original language description

    Objectives: This evidence implementation project aimed to assess and improve compliance with evidence-based neuroimaging criteria for adult patients with suspected stroke. Introduction: Stroke is the second leading cause of mortality and severe disability, requiring timely and accurate diagnosis. Clinical guidelines recommend brain imaging within 60 minutes of hospital arrival for suspected stroke patients. This project involved hospitals in North West Anglia NHS Foundation Trust, UK, serving 850,000 people with over 800 admissions annually. Methods: The JBI Evidence Implementation Framework was used to guide this project. JBI software, the Practical Application of Clinical Evidence System (PACES), as well as JBI&apos;s Getting Research into Practice (GRiP) approach, were used to conduct the audit and implementation phases. The project followed three stages: (1) implementation planning, (2) baseline assessment and implementation, and (3) impact evaluation. Three audit criteria were used to represent best practices for diagnosing suspected stroke patients. Results: The baseline audit revealed low compliance with the first criterion, with only 2.9% (1/35) of patients receiving a CT head scan within 1 hour of admission. In the follow-up audit, compliance improved to 45.2% (14/31). The other two criteria, diagnosis by a trained health care professional and baseline ECG assessment, had already achieved 100% compliance in the baseline audit. Conclusions: Compliance with evidence-based neuroimaging criteria improved after implementing targeted educational strategies and training. The rate of CT scans conducted within 1 hour increased, although door-To-imaging times remain suboptimal compared with achievable benchmarks of LESS-THAN OR EQUAL TO 20 minutes. Ongoing education and training are crucial for sustaining high compliance and improving stroke patient outcomes. Spanish abstract: http://links.lww.com/IJEBH/A324.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30218 - General and internal medicine

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    JBI Evidence Implementation

  • ISSN

    2691-3321

  • e-ISSN

    2691-3321

  • Volume of the periodical

    23

  • Issue of the periodical within the volume

    Suppl 1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    "S27"-"S34"

  • UT code for WoS article

    001457378200001

  • EID of the result in the Scopus database

    2-s2.0-85218908455