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Predictors of Dietitian Referrals in Hospitals

Dietitian involvement has considerable benefits for hospitalized patients, resulting in better health outcomes and improved quality of life. However, dietitian referral routines are often inappropriate in hospitals. The aim of this study was to identify predictors for dietitian referrals in hospital...

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Autores principales: Eglseer, Doris, Bauer, Silvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7551325/
https://www.ncbi.nlm.nih.gov/pubmed/32962105
http://dx.doi.org/10.3390/nu12092863
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author Eglseer, Doris
Bauer, Silvia
author_facet Eglseer, Doris
Bauer, Silvia
author_sort Eglseer, Doris
collection PubMed
description Dietitian involvement has considerable benefits for hospitalized patients, resulting in better health outcomes and improved quality of life. However, dietitian referral routines are often inappropriate in hospitals. The aim of this study was to identify predictors for dietitian referrals in hospitalized patients. This study was performed on data collected in an annually conducted cross-sectional study (in the years 2017, 2018, 2019). A standardized questionnaire was used to collect data, and logistic regression and a generalized estimating equation (GEE) model were used to calculate the associations between the patient characteristics and dietitian referrals. In the final GEE model, the following predictors for dietitian referrals remained significant: diabetes diagnosis (OR 1.80), cancer diagnosis (OR 1.76), digestive disease diagnosis (OR 2.03), presence of a pressure injury (OR 1.58), risk of malnutrition based on body mass index (BMI) and weight loss (OR 1.72), risk of malnutrition based on the malnutrition universal screening tool (MUST) (2.55), and the application of any malnutrition screening at admission to hospital (2.20). Total dietitian referral rate was 16.8%. The highest rate of dietitian referrals was found in patients with a risk of malnutrition (37%). This study included a large sample of hospitalized adult patients and revealed a low dietitian referral rate among these patients. These results indicate that dietitian involvement in hospitalized patients with nutrition-related conditions urgently needs to be improved.
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spelling pubmed-75513252020-10-16 Predictors of Dietitian Referrals in Hospitals Eglseer, Doris Bauer, Silvia Nutrients Article Dietitian involvement has considerable benefits for hospitalized patients, resulting in better health outcomes and improved quality of life. However, dietitian referral routines are often inappropriate in hospitals. The aim of this study was to identify predictors for dietitian referrals in hospitalized patients. This study was performed on data collected in an annually conducted cross-sectional study (in the years 2017, 2018, 2019). A standardized questionnaire was used to collect data, and logistic regression and a generalized estimating equation (GEE) model were used to calculate the associations between the patient characteristics and dietitian referrals. In the final GEE model, the following predictors for dietitian referrals remained significant: diabetes diagnosis (OR 1.80), cancer diagnosis (OR 1.76), digestive disease diagnosis (OR 2.03), presence of a pressure injury (OR 1.58), risk of malnutrition based on body mass index (BMI) and weight loss (OR 1.72), risk of malnutrition based on the malnutrition universal screening tool (MUST) (2.55), and the application of any malnutrition screening at admission to hospital (2.20). Total dietitian referral rate was 16.8%. The highest rate of dietitian referrals was found in patients with a risk of malnutrition (37%). This study included a large sample of hospitalized adult patients and revealed a low dietitian referral rate among these patients. These results indicate that dietitian involvement in hospitalized patients with nutrition-related conditions urgently needs to be improved. MDPI 2020-09-18 /pmc/articles/PMC7551325/ /pubmed/32962105 http://dx.doi.org/10.3390/nu12092863 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Eglseer, Doris
Bauer, Silvia
Predictors of Dietitian Referrals in Hospitals
title Predictors of Dietitian Referrals in Hospitals
title_full Predictors of Dietitian Referrals in Hospitals
title_fullStr Predictors of Dietitian Referrals in Hospitals
title_full_unstemmed Predictors of Dietitian Referrals in Hospitals
title_short Predictors of Dietitian Referrals in Hospitals
title_sort predictors of dietitian referrals in hospitals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7551325/
https://www.ncbi.nlm.nih.gov/pubmed/32962105
http://dx.doi.org/10.3390/nu12092863
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