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An Online Training Intervention on Prehospital Stroke Codes in Catalonia to Improve the Knowledge, Pre-Notification Compliance and Time Performance of Emergency Medical Services Professionals

Author

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  • Montse Gorchs-Molist

    (Catalonian Emergency Medical System, 08908 L’Hospitalet de Llobregat, Spain
    School of Medicine and Healthcare Sciences, University of Barcelona, 08036 Barcelona, Spain)

  • Silvia Solà-Muñoz

    (Catalonian Emergency Medical System, 08908 L’Hospitalet de Llobregat, Spain)

  • Iago Enjo-Perez

    (School of Medicine and Healthcare Sciences, University of Barcelona, 08036 Barcelona, Spain)

  • Marisol Querol-Gil

    (Catalonian Emergency Medical System, 08908 L’Hospitalet de Llobregat, Spain)

  • David Carrera-Giraldo

    (Departament of Neurosurgery, University Hospital Doctor Negrín, 35010 Las Palmas de Gran Canarias, Spain)

  • Jose María Nicolàs-Arfelis

    (School of Medicine and Healthcare Sciences, University of Barcelona, 08036 Barcelona, Spain)

  • Francesc Xavier Jiménez-Fàbrega

    (Catalonian Emergency Medical System, 08908 L’Hospitalet de Llobregat, Spain
    School of Medicine and Healthcare Sciences, University of Barcelona, 08036 Barcelona, Spain)

  • Natalia Pérez de la Ossa

    (Departament of Neurology, University Hospital Germans Trias i Pujol, 08916 Badalona, Spain)

Abstract

Strokes are a time-dependent medical emergency. The training of emergency medical service (EMS) professionals is essential to ensure the activation of stroke codes with pre-notification, as well as a rapid transfer to achieve early therapy. New assessment scales for the detection of patients with suspected large vessel occlusion ensures earlier access to endovascular therapy. The aim of this study was to evaluate the impact on an online training intervention focused on the Rapid Arterial oCclusion Evaluation (RACE) scoring of EMS professionals based on the prehospital stroke code in Catalonia from 2014 to 2018 in a pre–post intervention study. All Catalonian EMS professionals and the clinical records from primary stroke patients were included. The Kirkpatrick model guided the evaluation of the intervention. Data were collected on the knowledge on stroke recognition and management, pre-notification compliance, activated stroke codes and time performance of EMS professionals. Knowledge improved significatively in most items and across all categories, reaching a global achievement of 82%. Pre-notification compliance also improved significantly and remained high in the long-term. Increasingly higher notification of RACE scores were recorded from 60% at baseline to 96.3% in 2018, and increased on-site clinical care time and global time were also observed. Therefore, the online training intervention was effective for increasing EMS professionals’ knowledge and pre-notification compliance upon stroke code activation, and the wide adoption of a new prehospital scale for the assessment of stroke severity (i.e., the RACE scale) was achieved.

Suggested Citation

  • Montse Gorchs-Molist & Silvia Solà-Muñoz & Iago Enjo-Perez & Marisol Querol-Gil & David Carrera-Giraldo & Jose María Nicolàs-Arfelis & Francesc Xavier Jiménez-Fàbrega & Natalia Pérez de la Ossa, 2020. "An Online Training Intervention on Prehospital Stroke Codes in Catalonia to Improve the Knowledge, Pre-Notification Compliance and Time Performance of Emergency Medical Services Professionals," IJERPH, MDPI, vol. 17(17), pages 1-11, August.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:17:p:6183-:d:404144
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    Cited by:

    1. Antonio Desai & Aurora Zumbo & Mauro Giordano & Pierandrea Morandini & Maria Elena Laino & Elena Azzolini & Andrea Fabbri & Simona Marcheselli & Alice Giotta Lucifero & Sabino Luzzi & Antonio Voza, 2022. "Word2vec Word Embedding-Based Artificial Intelligence Model in the Triage of Patients with Suspected Diagnosis of Major Ischemic Stroke: A Feasibility Study," IJERPH, MDPI, vol. 19(22), pages 1-10, November.

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