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Access to intensive care in 14 European countries: a spatial analysis of intensive care need and capacity in the light of COVID-19

PURPOSE: The coronavirus disease 2019 (COVID-19) poses major challenges to health-care systems worldwide. This pandemic demonstrates the importance of timely access to intensive care and, therefore, this study aims to explore the accessibility of intensive care beds in 14 European countries and its...

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Autores principales: Bauer, Jan, Brüggmann, Dörthe, Klingelhöfer, Doris, Maier, Werner, Schwettmann, Lars, Weiss, Daniel J., Groneberg, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472675/
https://www.ncbi.nlm.nih.gov/pubmed/32886208
http://dx.doi.org/10.1007/s00134-020-06229-6
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author Bauer, Jan
Brüggmann, Dörthe
Klingelhöfer, Doris
Maier, Werner
Schwettmann, Lars
Weiss, Daniel J.
Groneberg, David A.
author_facet Bauer, Jan
Brüggmann, Dörthe
Klingelhöfer, Doris
Maier, Werner
Schwettmann, Lars
Weiss, Daniel J.
Groneberg, David A.
author_sort Bauer, Jan
collection PubMed
description PURPOSE: The coronavirus disease 2019 (COVID-19) poses major challenges to health-care systems worldwide. This pandemic demonstrates the importance of timely access to intensive care and, therefore, this study aims to explore the accessibility of intensive care beds in 14 European countries and its impact on the COVID-19 case fatality ratio (CFR). METHODS: We examined access to intensive care beds by deriving (1) a regional ratio of intensive care beds to 100,000 population capita (accessibility index, AI) and (2) the distance to the closest intensive care unit. The cross-sectional analysis was performed at a 5-by-5 km spatial resolution and results were summarized nationally for 14 European countries. The relationship between AI and CFR was analyzed at the regional level. RESULTS: We found national-level differences in the levels of access to intensive care beds. The AI was highest in Germany (AI = 35.3), followed by Estonia (AI = 33.5) and Austria (AI = 26.4), and lowest in Sweden (AI = 5) and Denmark (AI = 6.4). The average travel distance to the closest hospital was highest in Croatia (25.3 min by car) and lowest in Luxembourg (9.1 min). Subnational results illustrate that capacity was associated with population density and national-level inventories. The correlation analysis revealed a negative correlation of ICU accessibility and COVID-19 CFR (r = − 0.57; p < 0.001). CONCLUSION: Geographical access to intensive care beds varies significantly across European countries and low ICU accessibility was associated with a higher proportion of COVID-19 deaths to cases (CFR). Important differences in access are due to the sizes of national resource inventories and the distribution of health-care facilities relative to the human population. Our findings provide a resource for officials planning public health responses beyond the current COVID-19 pandemic, such as identifying potential locations suitable for temporary facilities or establishing logistical plans for moving severely ill patients to facilities with available beds. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00134-020-06229-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-74726752020-09-08 Access to intensive care in 14 European countries: a spatial analysis of intensive care need and capacity in the light of COVID-19 Bauer, Jan Brüggmann, Dörthe Klingelhöfer, Doris Maier, Werner Schwettmann, Lars Weiss, Daniel J. Groneberg, David A. Intensive Care Med Original PURPOSE: The coronavirus disease 2019 (COVID-19) poses major challenges to health-care systems worldwide. This pandemic demonstrates the importance of timely access to intensive care and, therefore, this study aims to explore the accessibility of intensive care beds in 14 European countries and its impact on the COVID-19 case fatality ratio (CFR). METHODS: We examined access to intensive care beds by deriving (1) a regional ratio of intensive care beds to 100,000 population capita (accessibility index, AI) and (2) the distance to the closest intensive care unit. The cross-sectional analysis was performed at a 5-by-5 km spatial resolution and results were summarized nationally for 14 European countries. The relationship between AI and CFR was analyzed at the regional level. RESULTS: We found national-level differences in the levels of access to intensive care beds. The AI was highest in Germany (AI = 35.3), followed by Estonia (AI = 33.5) and Austria (AI = 26.4), and lowest in Sweden (AI = 5) and Denmark (AI = 6.4). The average travel distance to the closest hospital was highest in Croatia (25.3 min by car) and lowest in Luxembourg (9.1 min). Subnational results illustrate that capacity was associated with population density and national-level inventories. The correlation analysis revealed a negative correlation of ICU accessibility and COVID-19 CFR (r = − 0.57; p < 0.001). CONCLUSION: Geographical access to intensive care beds varies significantly across European countries and low ICU accessibility was associated with a higher proportion of COVID-19 deaths to cases (CFR). Important differences in access are due to the sizes of national resource inventories and the distribution of health-care facilities relative to the human population. Our findings provide a resource for officials planning public health responses beyond the current COVID-19 pandemic, such as identifying potential locations suitable for temporary facilities or establishing logistical plans for moving severely ill patients to facilities with available beds. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00134-020-06229-6) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-09-04 2020 /pmc/articles/PMC7472675/ /pubmed/32886208 http://dx.doi.org/10.1007/s00134-020-06229-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Original
Bauer, Jan
Brüggmann, Dörthe
Klingelhöfer, Doris
Maier, Werner
Schwettmann, Lars
Weiss, Daniel J.
Groneberg, David A.
Access to intensive care in 14 European countries: a spatial analysis of intensive care need and capacity in the light of COVID-19
title Access to intensive care in 14 European countries: a spatial analysis of intensive care need and capacity in the light of COVID-19
title_full Access to intensive care in 14 European countries: a spatial analysis of intensive care need and capacity in the light of COVID-19
title_fullStr Access to intensive care in 14 European countries: a spatial analysis of intensive care need and capacity in the light of COVID-19
title_full_unstemmed Access to intensive care in 14 European countries: a spatial analysis of intensive care need and capacity in the light of COVID-19
title_short Access to intensive care in 14 European countries: a spatial analysis of intensive care need and capacity in the light of COVID-19
title_sort access to intensive care in 14 european countries: a spatial analysis of intensive care need and capacity in the light of covid-19
topic Original
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472675/
https://www.ncbi.nlm.nih.gov/pubmed/32886208
http://dx.doi.org/10.1007/s00134-020-06229-6
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