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The impact of diabetes on multiple avoidable admissions: a cross-sectional study

BACKGROUND: Multiple admissions for ambulatory care sensitive conditions (ACSC) are responsible for an important proportion of health care expenditures. Diabetes is one of the conditions consensually classified as an ACSC being considered a major public health concern. The aim of this study was to a...

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Autores principales: Seringa, Joana, Marques, Ana Patrícia, Moita, Bruno, Gaspar, Cátia, Raposo, João Filipe, Santana, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935195/
https://www.ncbi.nlm.nih.gov/pubmed/31881962
http://dx.doi.org/10.1186/s12913-019-4840-4
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author Seringa, Joana
Marques, Ana Patrícia
Moita, Bruno
Gaspar, Cátia
Raposo, João Filipe
Santana, Rui
author_facet Seringa, Joana
Marques, Ana Patrícia
Moita, Bruno
Gaspar, Cátia
Raposo, João Filipe
Santana, Rui
author_sort Seringa, Joana
collection PubMed
description BACKGROUND: Multiple admissions for ambulatory care sensitive conditions (ACSC) are responsible for an important proportion of health care expenditures. Diabetes is one of the conditions consensually classified as an ACSC being considered a major public health concern. The aim of this study was to analyse the impact of diabetes on the occurrence of multiple admissions for ACSC. METHODS: We analysed inpatient data of all public Portuguese NHS hospitals from 2013 to 2015 on multiple admissions for ACSC among adults aged 18 or older. Multiple ACSC users were identified if they had two or more admissions for any ACSC during the period of analysis. Two logistic regression models were computed. A baseline model where a logistic regression was performed to assess the association between multiple admissions and the presence of diabetes, adjusting for age and sex. A full model to test if diabetes had no constant association with multiple admissions by any ACSC across age groups. RESULTS: Among 301,334 ACSC admissions, 144,209 (47.9%) were classified as multiple admissions and from those, 59,436 had diabetes diagnosis, which corresponded to 23,692 patients. Patients with diabetes were 1.49 times (p < 0,001) more likely to be admitted multiple times for any ACSC than patients without diabetes. Younger adults with diabetes (18–39 years old) were more likely to become multiple users. CONCLUSION: Diabetes increases the risk of multiple admissions for ACSC, especially in younger adults. Diabetes presence is associated with a higher resource utilization, which highlights the need for the implementation of adequate management of chronic diseases policies.
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spelling pubmed-69351952019-12-30 The impact of diabetes on multiple avoidable admissions: a cross-sectional study Seringa, Joana Marques, Ana Patrícia Moita, Bruno Gaspar, Cátia Raposo, João Filipe Santana, Rui BMC Health Serv Res Research Article BACKGROUND: Multiple admissions for ambulatory care sensitive conditions (ACSC) are responsible for an important proportion of health care expenditures. Diabetes is one of the conditions consensually classified as an ACSC being considered a major public health concern. The aim of this study was to analyse the impact of diabetes on the occurrence of multiple admissions for ACSC. METHODS: We analysed inpatient data of all public Portuguese NHS hospitals from 2013 to 2015 on multiple admissions for ACSC among adults aged 18 or older. Multiple ACSC users were identified if they had two or more admissions for any ACSC during the period of analysis. Two logistic regression models were computed. A baseline model where a logistic regression was performed to assess the association between multiple admissions and the presence of diabetes, adjusting for age and sex. A full model to test if diabetes had no constant association with multiple admissions by any ACSC across age groups. RESULTS: Among 301,334 ACSC admissions, 144,209 (47.9%) were classified as multiple admissions and from those, 59,436 had diabetes diagnosis, which corresponded to 23,692 patients. Patients with diabetes were 1.49 times (p < 0,001) more likely to be admitted multiple times for any ACSC than patients without diabetes. Younger adults with diabetes (18–39 years old) were more likely to become multiple users. CONCLUSION: Diabetes increases the risk of multiple admissions for ACSC, especially in younger adults. Diabetes presence is associated with a higher resource utilization, which highlights the need for the implementation of adequate management of chronic diseases policies. BioMed Central 2019-12-27 /pmc/articles/PMC6935195/ /pubmed/31881962 http://dx.doi.org/10.1186/s12913-019-4840-4 Text en © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Seringa, Joana
Marques, Ana Patrícia
Moita, Bruno
Gaspar, Cátia
Raposo, João Filipe
Santana, Rui
The impact of diabetes on multiple avoidable admissions: a cross-sectional study
title The impact of diabetes on multiple avoidable admissions: a cross-sectional study
title_full The impact of diabetes on multiple avoidable admissions: a cross-sectional study
title_fullStr The impact of diabetes on multiple avoidable admissions: a cross-sectional study
title_full_unstemmed The impact of diabetes on multiple avoidable admissions: a cross-sectional study
title_short The impact of diabetes on multiple avoidable admissions: a cross-sectional study
title_sort impact of diabetes on multiple avoidable admissions: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6935195/
https://www.ncbi.nlm.nih.gov/pubmed/31881962
http://dx.doi.org/10.1186/s12913-019-4840-4
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