Workflow patterns and potential for optimization in endovascular stroke treatment across the world: results from a multinational survey.


Journal

Journal of neurointerventional surgery
ISSN: 1759-8486
Titre abrégé: J Neurointerv Surg
Pays: England
ID NLM: 101517079

Informations de publication

Date de publication:
Dec 2020
Historique:
received: 13 02 2020
revised: 17 03 2020
accepted: 23 03 2020
pubmed: 8 4 2020
medline: 9 2 2021
entrez: 8 4 2020
Statut: ppublish

Résumé

The benefit of endovascular treatment (EVT) is highly time-dependent, and treatment delays reduce patients' chances to achieve a good outcome. In this survey-based study, we aimed to evaluate current in-hospital EVT workflow characteristics across different countries and hospital settings, and to quantify the time-savings that could be achieved by optimizing particular workflow steps. In a multinational survey, neurointerventionalists were asked to provide specific information about EVT workflows in their current working environment. Workflow characteristics were summarized using descriptive statistics and stratified by country and physician characteristics, such as age, career stage, personal and institutional caseload. Among 248 respondents from 48 countries, pre-notification of the neurointerventional team was used in 70% of cases. The emergency department (ED) and CT scanner, and the CT scanner and neuroangiography suite, were on different floors in 23% and 38%, respectively. Redundant procedures in the ED were often routinely performed, such as chest x-rays (in 6%). General anesthesia was the most frequently used anesthesia protocol for EVT (42%), and an anesthesiologist was available in 82% for this purpose. 52% of the participants used a pre-prepared EVT kit. The current structure of EVT workflows offers possibilities for improvement. While some bottlenecks, such as the spatial department set-up, cannot easily be resolved, pre-notification tools and pre-prepared EVT kits are more straightforward to implement and could help to reduce treatment delays, and thereby improve patient outcomes.

Sections du résumé

BACKGROUND BACKGROUND
The benefit of endovascular treatment (EVT) is highly time-dependent, and treatment delays reduce patients' chances to achieve a good outcome. In this survey-based study, we aimed to evaluate current in-hospital EVT workflow characteristics across different countries and hospital settings, and to quantify the time-savings that could be achieved by optimizing particular workflow steps.
METHODS METHODS
In a multinational survey, neurointerventionalists were asked to provide specific information about EVT workflows in their current working environment. Workflow characteristics were summarized using descriptive statistics and stratified by country and physician characteristics, such as age, career stage, personal and institutional caseload.
RESULTS RESULTS
Among 248 respondents from 48 countries, pre-notification of the neurointerventional team was used in 70% of cases. The emergency department (ED) and CT scanner, and the CT scanner and neuroangiography suite, were on different floors in 23% and 38%, respectively. Redundant procedures in the ED were often routinely performed, such as chest x-rays (in 6%). General anesthesia was the most frequently used anesthesia protocol for EVT (42%), and an anesthesiologist was available in 82% for this purpose. 52% of the participants used a pre-prepared EVT kit.
CONCLUSION CONCLUSIONS
The current structure of EVT workflows offers possibilities for improvement. While some bottlenecks, such as the spatial department set-up, cannot easily be resolved, pre-notification tools and pre-prepared EVT kits are more straightforward to implement and could help to reduce treatment delays, and thereby improve patient outcomes.

Identifiants

pubmed: 32253281
pii: neurintsurg-2020-015902
doi: 10.1136/neurintsurg-2020-015902
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1194-1198

Informations de copyright

© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: MG is a consultant for Medtronic, Stryker, Microvention, GE Healthcare, Mentice. JMO is supported by the University of Basel Research Foundation, Julia Bangerter Rhyner Foundation and Freiwillige Akademische Gesellschaft Basel.

Auteurs

Johanna Maria Ospel (JM)

Radiology, Universitatsspital Basel, Basel, Switzerland.
Department of Clinical Neurosciences, University of Calgary, Calgary, Alberta, Canada.

Mohammed A Almekhlafi (MA)

Clinical Neurosciences, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada.

Bijoy K Menon (BK)

Calgary Stroke Program, University of Calgary, Calgary, Alberta, Canada.

Nima Kashani (N)

Radiology, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada.

René Chapot (R)

Department of Neurointerventional Therapy, Krupp Krankenhaus, Germany, Essen, Germany.

Jens Fiehler (J)

Department of Neuroradiology, University Medical Center Hamburg Eppendorf, Hamburg, Germany.

Ameer E Hassan (AE)

Valley Baptist Medical Center, Harlingen, Texas, USA.

Dileep Yavagal (D)

Department of Neurology, Miller School of Medicine, University of Miami, Miami, Florida, USA.

Charles B L M Majoie (CBLM)

Radiology, AMC, Amsterdam, The Netherlands.

Mahesh V Jayaraman (MV)

Diagnostic Imaging, Brown University Warren Alpert Medical School, Providence, Rhode Island, USA.

Michael D Hill (MD)

Clinical Neurosciences, University Of Calgary, Calgary, Alberta, Canada.

Mayank Goyal (M)

Diagnostic Imaging, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada mgoyal@ucalgary.ca.

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Classifications MeSH