Triage and Allocation of Neurocritical Care Resources During the COVID 19 Pandemic - A National Survey Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.3389/fneur.2020.609227
Objective: In light of the ongoing COVID-19 pandemic and the associated hospitalization of an overwhelming number of ventilator-dependent patients, medical and/or ethical patient triage paradigms have become essential. While guidelines on the allocation of scarce resources do exist, such work within the subdisciplines of intensive care (e.g., neurocritical care) remains limited. Methods: A 16-item questionnaire was developed that sought to explore/quantify the expert opinions of German neurointensivists with regard to triage decisions. The anonymous survey was conducted via a web-based platform and in total, 96 members of the Initiative of German Neurointensive Trial Engagement (IGNITE)-study group were contacted via e-mail. The IGNITE consortium consists of an interdisciplinary panel of specialists with expertise in neuro-critical care (i.e., anesthetists, neurologists and neurosurgeons). Results: Fifty members of the IGNITE consortium responded to the questionnaire; in total the respondents were in charge of more than 500 Neuro ICU beds throughout Germany. Common determinants reported which affected triage decisions included known patient wishes (98%), the state of health before admission (96%), SOFA-score (85%) and patient age (69%). Interestingly, other principles of allocation, such as a treatment of “youngest first” (61%) and members of the healthcare sector (50%) were also noted. While these were the most accepted parameters affecting the triage of patients, a “first-come, first-served” principle appeared to be more accepted than a lottery for the allocation of ICU beds which contradicts much of what has been reported within the literature. The respondents also felt that at least one neurointensivist should serve on any interdisciplinary triage team. Conclusions: The data gathered in the context of this survey reveal the estimation/perception of triage algorithms among neurointensive care specialists facing COVID-19. Further, it is apparent that German neurointensivists strongly feel that they should be involved in any triage decisions at an institutional level given the unique resources needed to treat patients within the Neuro ICU.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fneur.2020.609227
- OA Status
- gold
- Cited By
- 7
- References
- 11
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3120048843
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3120048843Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fneur.2020.609227Digital Object Identifier
- Title
-
Triage and Allocation of Neurocritical Care Resources During the COVID 19 Pandemic - A National SurveyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-06Full publication date if available
- Authors
-
Florian Geßler, Felix Lehmann, Julian Bösel, Hannah Fuhrer, Hermann Neugebauer, Katja E. Wartenberg, Stefan Wolf, Joshua D. Bernstock, Wolf‐Dirk Niesen, Patrick SchussList of authors in order
- Landing page
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https://doi.org/10.3389/fneur.2020.609227Publisher landing page
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.3389/fneur.2020.609227Direct OA link when available
- Concepts
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Neurointensive care, Triage, Medicine, Pandemic, Health care, Medical emergency, Coronavirus disease 2019 (COVID-19), Intensive care, Family medicine, Emergency medicine, Intensive care medicine, Disease, Infectious disease (medical specialty), Political science, Law, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
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2025: 1, 2024: 1, 2023: 1, 2022: 3, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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11Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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