Predicting Hospital Length of Stay at Admission Using Global and Country-Specific Competing Risk Analysis of Structural, Patient, and Nutrition-Related Data from nutritionDay 2007–2015

Predicting Hospital Length of Stay at Admission Using Global and Country-Specific Competing Risk Analysis of Structural, Patient, and Nutrition-Related Data from nutritionDay 2007–2015

Hospital length of stay (LOS) is an important clinical and economic outcome and knowing its predictors could lead to better planning of resources needed during hospitalization. This analysis sought to identify structure, patient, and nutrition-related predictors of LOS available at the time of admis...

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Autores principales: Noemi Kiss, Michael Hiesmayr, Isabella Sulz, Peter Bauer, Georg Heinze, Mohamed Mouhieddine, Christian Schuh, Silvia Tarantino, Judit Simon
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
length of stay
nutrition
hospital
survey
discharge
transfer
Nutrition. Foods and food supply
TX341-641
Acceso en línea:https://doaj.org/article/c45e6ab86fcd40ddab91b4a3e3366de8
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https://doaj.org/article/c45e6ab86fcd40ddab91b4a3e3366de8

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