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Tytuł pozycji:

Discovering the underlying typology of emergency departments

Tytuł:
Discovering the underlying typology of emergency departments
Autorzy:
Marine Demarquet
Laurie Fraticelli
Julie Freyssenge
Clément Claustre
Mikaël Martinez
Jonathan Duchenne
Carlos El Khoury
Abdesslam Redjaline
Karim Tazarourte
Temat:
Emergency department
Typology
Factor analysis
Organisation
Territory
Medicine (General)
R5-920
Źródło:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-9 (2021)
Wydawca:
BMC, 2021.
Rok publikacji:
2021
Kolekcja:
LCC:Medicine (General)
Typ dokumentu:
article
Opis pliku:
electronic resource
Język:
English
ISSN:
1471-2288
Relacje:
https://doaj.org/toc/1471-2288
DOI:
10.1186/s12874-021-01305-x
Dostęp URL:
https://doaj.org/article/610f8f5f5fdf46d4b6155b1585018036  Link otwiera się w nowym oknie
Numer akcesji:
edsdoj.610f8f5f5fdf46d4b6155b1585018036
Czasopismo naukowe
Abstract Background We hypothesized that monitoring the volume of activity and overall performance indicators is not sufficient to understand the underlying differences between emergency departments. We aimed to understand the underlying common characteristics of emergency departments and map their typology in order to propose adaptive solutions, that would take into account territorial specificities and manage existing resources. Methods We applied a multifactorial analysis based on input data at three levels; 1) the health care available in the area surrounding the emergency departments, 2) the level of medical technicality of the hospitals and 3) the profile of emergency department visits. Results We included 73 emergency departments in this study, representing 93.6% of the emergency departments in our region and seven groups were retained. The smallest group (n = 5) included both public and private structures with low volumes of activity. These medical structures were associated with the shortest length of stay and one of the lowest hospitalisation rates. The largest group (n = 21) included only public structures in peri-urban areas, which were associated with the highest rate of hospitalization in the region. The surrounding population was representative of the regional population, but the patients were older. Conclusions This approach represents a systemic response to target the organisational needs and constraints, propose appropriate solutions and adjust the financial resources allocated to hospitals. Future policies to improve care delivery may benefit from stratifying solutions and performance objectives depending on these groups.
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