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Stroke care networks and the impact on quality of care

Lack of rapidly available neurological expertise, especially in rural areas, is one of the key obstacles in stroke care. Stroke care networks attempt to address this challenge by connecting hospitals with specialized stroke centers, stroke units, and hospitals of lower levels of care. While the bene...

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Autores principales: Schoenfelder, Jan, Zarrin, Mansour, Griesbaum, Remo, Berlis, Ansgar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983551/
https://www.ncbi.nlm.nih.gov/pubmed/34564805
http://dx.doi.org/10.1007/s10729-021-09582-0
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author Schoenfelder, Jan
Zarrin, Mansour
Griesbaum, Remo
Berlis, Ansgar
author_facet Schoenfelder, Jan
Zarrin, Mansour
Griesbaum, Remo
Berlis, Ansgar
author_sort Schoenfelder, Jan
collection PubMed
description Lack of rapidly available neurological expertise, especially in rural areas, is one of the key obstacles in stroke care. Stroke care networks attempt to address this challenge by connecting hospitals with specialized stroke centers, stroke units, and hospitals of lower levels of care. While the benefits of stroke care networks are well-documented, travel distances are likely to increase when patients are transferred almost exclusively between members of the same network. This is particularly important for patients who require mechanical thrombectomy, an increasingly employed treatment method that requires equipment and expertise available in specialized stroke centers. This study aims to analyze the performance of the current design of stroke care networks in Bavaria, Germany, and to evaluate the improvement potential when the networks are redesigned to minimize travel distances. To this end, we define three fundamental criteria for assessing network design performance: 1) average travel distances, 2) the populace in the catchment area relative to the number of stroke units, and 3) the ratio of stroke units to lower-care hospitals. We generate several alternative stroke network designs using an analytical approach based on mathematical programming and clustering. Finally, we evaluate the performance of the existing networks in Bavaria via simulation. The results show that the current network design could be significantly improved concerning the average travel distances. Moreover, the existing networks are unnecessarily imbalanced when it comes to their number of stroke units per capita and the ratio of stroke units to lower-care hospitals.
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spelling pubmed-89835512022-04-22 Stroke care networks and the impact on quality of care Schoenfelder, Jan Zarrin, Mansour Griesbaum, Remo Berlis, Ansgar Health Care Manag Sci Article Lack of rapidly available neurological expertise, especially in rural areas, is one of the key obstacles in stroke care. Stroke care networks attempt to address this challenge by connecting hospitals with specialized stroke centers, stroke units, and hospitals of lower levels of care. While the benefits of stroke care networks are well-documented, travel distances are likely to increase when patients are transferred almost exclusively between members of the same network. This is particularly important for patients who require mechanical thrombectomy, an increasingly employed treatment method that requires equipment and expertise available in specialized stroke centers. This study aims to analyze the performance of the current design of stroke care networks in Bavaria, Germany, and to evaluate the improvement potential when the networks are redesigned to minimize travel distances. To this end, we define three fundamental criteria for assessing network design performance: 1) average travel distances, 2) the populace in the catchment area relative to the number of stroke units, and 3) the ratio of stroke units to lower-care hospitals. We generate several alternative stroke network designs using an analytical approach based on mathematical programming and clustering. Finally, we evaluate the performance of the existing networks in Bavaria via simulation. The results show that the current network design could be significantly improved concerning the average travel distances. Moreover, the existing networks are unnecessarily imbalanced when it comes to their number of stroke units per capita and the ratio of stroke units to lower-care hospitals. Springer US 2021-09-25 2022 /pmc/articles/PMC8983551/ /pubmed/34564805 http://dx.doi.org/10.1007/s10729-021-09582-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Schoenfelder, Jan
Zarrin, Mansour
Griesbaum, Remo
Berlis, Ansgar
Stroke care networks and the impact on quality of care
title Stroke care networks and the impact on quality of care
title_full Stroke care networks and the impact on quality of care
title_fullStr Stroke care networks and the impact on quality of care
title_full_unstemmed Stroke care networks and the impact on quality of care
title_short Stroke care networks and the impact on quality of care
title_sort stroke care networks and the impact on quality of care
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983551/
https://www.ncbi.nlm.nih.gov/pubmed/34564805
http://dx.doi.org/10.1007/s10729-021-09582-0
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