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


ABSTRACT: 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?

SUBMITTER: Seringa J 

PROVIDER: S-EPMC6935195 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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

Seringa Joana J   Marques Ana Patrícia AP   Moita Bruno B   Gaspar Cátia C   Raposo João Filipe JF   Santana Rui R  

BMC health services research 20191227 1


<h4>Background</h4>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.<h4>Methods</h4>We analysed inpatient data of all public Portuguese NHS hospitals from 2013 to 2015 on multiple a  ...[more]

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