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Time Trends and Monthly Variation in Swedish Acute Stroke Care

Background and Purpose: Studies of monthly variation in acute stroke care have led to conflicting results. Our objective was to study monthly variation and longitudinal trends in quality of care and patient survival following acute stroke. Methods: Our nationwide study included all adult patients (≥...

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Autores principales: Darehed, David, Blom, Mathias, Glader, Eva-Lotta, Niklasson, Johan, Norrving, Bo, Eriksson, Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6854029/
https://www.ncbi.nlm.nih.gov/pubmed/31787926
http://dx.doi.org/10.3389/fneur.2019.01177
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author Darehed, David
Blom, Mathias
Glader, Eva-Lotta
Niklasson, Johan
Norrving, Bo
Eriksson, Marie
author_facet Darehed, David
Blom, Mathias
Glader, Eva-Lotta
Niklasson, Johan
Norrving, Bo
Eriksson, Marie
author_sort Darehed, David
collection PubMed
description Background and Purpose: Studies of monthly variation in acute stroke care have led to conflicting results. Our objective was to study monthly variation and longitudinal trends in quality of care and patient survival following acute stroke. Methods: Our nationwide study included all adult patients (≥18 years) with acute stroke (ischemic or hemorrhagic), admitted to Swedish hospitals from 2011 to 2016, and that were registered in The Swedish Stroke Register (Riksstroke). We studied how month of admission and longitudinal trends affected acute stroke care and survival. We also studied resilience to this variation among hospitals with different levels of specialization. Results: We included 132,744 stroke admissions. The 90-day survival was highest in May and lowest in January (84.1 vs. 81.5%). Thrombolysis rates and door-to-needle time within 30 min increased from 2011 to 2016 (respectively, 7.3 vs. 12.8% and 7.7 vs. 28.7%). Admission to a stroke unit as first destination of hospital care was lowest in January and highest in June (78.3 vs. 80.5%). Stroke unit admission rates decreased in university hospitals from 2011 to 2016 (83.4 vs. 73.9%), while no such trend were observed in less specialized hospitals. All the differences above remained significant (p < 0.05) after adjustment for possible confounding factors. Conclusion: We found that month of admission and longitudinal trends both affect quality of care and survival of stroke patients in Sweden, and that the effects differ between hospital types. The observed variation suggests an opportunity to improve stroke care in Sweden. Future studies ought to focus on identifying the specific factors driving this variation, for subsequent targeting by quality improvement efforts.
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spelling pubmed-68540292019-11-29 Time Trends and Monthly Variation in Swedish Acute Stroke Care Darehed, David Blom, Mathias Glader, Eva-Lotta Niklasson, Johan Norrving, Bo Eriksson, Marie Front Neurol Neurology Background and Purpose: Studies of monthly variation in acute stroke care have led to conflicting results. Our objective was to study monthly variation and longitudinal trends in quality of care and patient survival following acute stroke. Methods: Our nationwide study included all adult patients (≥18 years) with acute stroke (ischemic or hemorrhagic), admitted to Swedish hospitals from 2011 to 2016, and that were registered in The Swedish Stroke Register (Riksstroke). We studied how month of admission and longitudinal trends affected acute stroke care and survival. We also studied resilience to this variation among hospitals with different levels of specialization. Results: We included 132,744 stroke admissions. The 90-day survival was highest in May and lowest in January (84.1 vs. 81.5%). Thrombolysis rates and door-to-needle time within 30 min increased from 2011 to 2016 (respectively, 7.3 vs. 12.8% and 7.7 vs. 28.7%). Admission to a stroke unit as first destination of hospital care was lowest in January and highest in June (78.3 vs. 80.5%). Stroke unit admission rates decreased in university hospitals from 2011 to 2016 (83.4 vs. 73.9%), while no such trend were observed in less specialized hospitals. All the differences above remained significant (p < 0.05) after adjustment for possible confounding factors. Conclusion: We found that month of admission and longitudinal trends both affect quality of care and survival of stroke patients in Sweden, and that the effects differ between hospital types. The observed variation suggests an opportunity to improve stroke care in Sweden. Future studies ought to focus on identifying the specific factors driving this variation, for subsequent targeting by quality improvement efforts. Frontiers Media S.A. 2019-11-07 /pmc/articles/PMC6854029/ /pubmed/31787926 http://dx.doi.org/10.3389/fneur.2019.01177 Text en Copyright © 2019 Darehed, Blom, Glader, Niklasson, Norrving and Eriksson. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Darehed, David
Blom, Mathias
Glader, Eva-Lotta
Niklasson, Johan
Norrving, Bo
Eriksson, Marie
Time Trends and Monthly Variation in Swedish Acute Stroke Care
title Time Trends and Monthly Variation in Swedish Acute Stroke Care
title_full Time Trends and Monthly Variation in Swedish Acute Stroke Care
title_fullStr Time Trends and Monthly Variation in Swedish Acute Stroke Care
title_full_unstemmed Time Trends and Monthly Variation in Swedish Acute Stroke Care
title_short Time Trends and Monthly Variation in Swedish Acute Stroke Care
title_sort time trends and monthly variation in swedish acute stroke care
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6854029/
https://www.ncbi.nlm.nih.gov/pubmed/31787926
http://dx.doi.org/10.3389/fneur.2019.01177
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