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

Detalhes bibliográficos
Autor(a) principal: Seringa, Joana
Data de Publicação: 2019
Outros Autores: Marques, Ana P, Moita, Bruno, Gaspar, Cátia, Raposo, João F, Santana, Rui
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/13858
Resumo: 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 The impact of diabetes on multiple avoidable admissions: a cross-sectional studyMultiple admissions for ACSCDiabetesMultimorbidityBackground 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.NOVASaudeBMCSapientiaSeringa, JoanaMarques, Ana PMoita, BrunoGaspar, CátiaRaposo, João FSantana, Rui2020-05-08T13:38:01Z2019-12-272020-01-01T04:35:09Z2019-12-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/13858engBMC Health Services Research. 2019 Dec 27;19(1):1002https://doi.org/10.1186/s12913-019-4840-41472-6963info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:25:31Zoai:sapientia.ualg.pt:10400.1/13858Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:04:35.935596Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv 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
spellingShingle The impact of diabetes on multiple avoidable admissions: a cross-sectional study
Seringa, Joana
Multiple admissions for ACSC
Diabetes
Multimorbidity
title_short 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_sort The impact of diabetes on multiple avoidable admissions: a cross-sectional study
author Seringa, Joana
author_facet Seringa, Joana
Marques, Ana P
Moita, Bruno
Gaspar, Cátia
Raposo, João F
Santana, Rui
author_role author
author2 Marques, Ana P
Moita, Bruno
Gaspar, Cátia
Raposo, João F
Santana, Rui
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Seringa, Joana
Marques, Ana P
Moita, Bruno
Gaspar, Cátia
Raposo, João F
Santana, Rui
dc.subject.por.fl_str_mv Multiple admissions for ACSC
Diabetes
Multimorbidity
topic Multiple admissions for ACSC
Diabetes
Multimorbidity
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.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-27
2019-12-27T00:00:00Z
2020-05-08T13:38:01Z
2020-01-01T04:35:09Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.1/13858
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv BMC Health Services Research. 2019 Dec 27;19(1):1002
https://doi.org/10.1186/s12913-019-4840-4
1472-6963
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