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Admissions to intensive cardiac care units in France in 2014: A cross-sectional, nationwide population-based study
Geographic variation in admission to the intensive cardiac care unit (ICCU) might question about the efficiency and the equity of the healthcare system. The aim was to explain geographic variation in the rate of admission to ICCU for coronary artery disease (CAD) or heart failure (HF) in France. We...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6200530/ https://www.ncbi.nlm.nih.gov/pubmed/30290655 http://dx.doi.org/10.1097/MD.0000000000012677 |
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author | Mercier, Grégoire Duflos, Claire Riondel, Adeline Delmas, Clément Manzo-Silberman, Stéphane Leurent, Guillaume Elbaz, Meyer Bonnefoy-Cudraz, Eric Henry, Patrick Roubille, François |
author_facet | Mercier, Grégoire Duflos, Claire Riondel, Adeline Delmas, Clément Manzo-Silberman, Stéphane Leurent, Guillaume Elbaz, Meyer Bonnefoy-Cudraz, Eric Henry, Patrick Roubille, François |
author_sort | Mercier, Grégoire |
collection | PubMed |
description | Geographic variation in admission to the intensive cardiac care unit (ICCU) might question about the efficiency and the equity of the healthcare system. The aim was to explain geographic variation in the rate of admission to ICCU for coronary artery disease (CAD) or heart failure (HF) in France. We conducted a retrospective study based on the French national hospital discharge database. All inpatient stays for CAD or HF with an admission to an ICCU in 2014 were included. We estimated population-based age and sex-standardized ICCU admission rates at the department level. We separately modeled the department-level admission rates for HF and CAD using generalized linear models. In all, 61,010 stays for CAD and 27,828 stays for HF had at least 1 ICCU admission. The ICCU admission rates were explained by the admission rate for CAD, by the diabetes prevalence, by the proportion of the population >75 years, and by the drive time to the ICCU. This work sheds light on the finding of substantial geographic variation in the ICCU admission rates for CAD and HF in France. This variation is explained by both the age and the health status of the population and also by the drive time to the closest ICCU for HF. Moreover, ICCU admission for HF might be more prone to unwarranted variations due to medical practice patterns. |
format | Online Article Text |
id | pubmed-6200530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-62005302018-11-07 Admissions to intensive cardiac care units in France in 2014: A cross-sectional, nationwide population-based study Mercier, Grégoire Duflos, Claire Riondel, Adeline Delmas, Clément Manzo-Silberman, Stéphane Leurent, Guillaume Elbaz, Meyer Bonnefoy-Cudraz, Eric Henry, Patrick Roubille, François Medicine (Baltimore) Research Article Geographic variation in admission to the intensive cardiac care unit (ICCU) might question about the efficiency and the equity of the healthcare system. The aim was to explain geographic variation in the rate of admission to ICCU for coronary artery disease (CAD) or heart failure (HF) in France. We conducted a retrospective study based on the French national hospital discharge database. All inpatient stays for CAD or HF with an admission to an ICCU in 2014 were included. We estimated population-based age and sex-standardized ICCU admission rates at the department level. We separately modeled the department-level admission rates for HF and CAD using generalized linear models. In all, 61,010 stays for CAD and 27,828 stays for HF had at least 1 ICCU admission. The ICCU admission rates were explained by the admission rate for CAD, by the diabetes prevalence, by the proportion of the population >75 years, and by the drive time to the ICCU. This work sheds light on the finding of substantial geographic variation in the ICCU admission rates for CAD and HF in France. This variation is explained by both the age and the health status of the population and also by the drive time to the closest ICCU for HF. Moreover, ICCU admission for HF might be more prone to unwarranted variations due to medical practice patterns. Wolters Kluwer Health 2018-10-05 /pmc/articles/PMC6200530/ /pubmed/30290655 http://dx.doi.org/10.1097/MD.0000000000012677 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 |
spellingShingle | Research Article Mercier, Grégoire Duflos, Claire Riondel, Adeline Delmas, Clément Manzo-Silberman, Stéphane Leurent, Guillaume Elbaz, Meyer Bonnefoy-Cudraz, Eric Henry, Patrick Roubille, François Admissions to intensive cardiac care units in France in 2014: A cross-sectional, nationwide population-based study |
title | Admissions to intensive cardiac care units in France in 2014: A cross-sectional, nationwide population-based study |
title_full | Admissions to intensive cardiac care units in France in 2014: A cross-sectional, nationwide population-based study |
title_fullStr | Admissions to intensive cardiac care units in France in 2014: A cross-sectional, nationwide population-based study |
title_full_unstemmed | Admissions to intensive cardiac care units in France in 2014: A cross-sectional, nationwide population-based study |
title_short | Admissions to intensive cardiac care units in France in 2014: A cross-sectional, nationwide population-based study |
title_sort | admissions to intensive cardiac care units in france in 2014: a cross-sectional, nationwide population-based study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6200530/ https://www.ncbi.nlm.nih.gov/pubmed/30290655 http://dx.doi.org/10.1097/MD.0000000000012677 |
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