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Bipolar disorder hospitalizations – a big data approach

INTRODUCTION: Bipolar Disorder (BD) is a mental disorder characterized by long hospitalizations and frequent need for acute psychiatric care. Hospitalizations represent a valuable quality of care indicator in BD. OBJECTIVES: The aim of this study was to describe a nationwide perspective of BD relate...

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Autores principales: Gonçalves-Pinho, M., Ribeiro, J.P., Freitas, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471346/
http://dx.doi.org/10.1192/j.eurpsy.2021.234
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author Gonçalves-Pinho, M.
Ribeiro, J.P.
Freitas, A.
author_facet Gonçalves-Pinho, M.
Ribeiro, J.P.
Freitas, A.
author_sort Gonçalves-Pinho, M.
collection PubMed
description INTRODUCTION: Bipolar Disorder (BD) is a mental disorder characterized by long hospitalizations and frequent need for acute psychiatric care. Hospitalizations represent a valuable quality of care indicator in BD. OBJECTIVES: The aim of this study was to describe a nationwide perspective of BD related hospitalizations and to use a BigData based approach in mental health research. METHODS: We performed a retrospective observational study using a nationwide hospitalization database containing all hospitalizations registered in Portuguese public hospitals from 2008 to 2015. Hospitalizations with a primary diagnosis of BD were selected based on International Classification of Diseases version 9, Clinical Modification (ICD-9-CM) codes of diagnosis 296.xx (excluding 296.2x; 296.3x and 296.9x). RESULTS: A total of 20,807 hospitalizations were registered belonging to 13,300 patients. 33.4% of the hospitalizations occurred in male patients and the median LoS was 16.0 days. Mean age was 47.9 years and male patients were younger(46.6 vs. 48.6; p< 0.001). 59 hospitalizations had a deadly outcome (0.3%). The most common cause of hospitalization in BD was the diagnosis code 296.4x (Bipolar I disorder, most recent episode (or current) manic) representing 34.3% of all hospitalizations, followed by the code 296.5x (Bipolar I disorder, most recent episode (or current) depressed) with 21.4%. The mean hospitalization charges were 3,508.5€ per episode, with a total charge of 73M€ in the 8-year period of this study. CONCLUSIONS: This is a nationwide study using BigData analysis giving a broad perspective of BD hospitalization panorama at a nationwide level. We found differences in hospitalization characteristics by gender, age and primary diagnosis. DISCLOSURE: No significant relationships.
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spelling pubmed-94713462022-09-29 Bipolar disorder hospitalizations – a big data approach Gonçalves-Pinho, M. Ribeiro, J.P. Freitas, A. Eur Psychiatry Abstract INTRODUCTION: Bipolar Disorder (BD) is a mental disorder characterized by long hospitalizations and frequent need for acute psychiatric care. Hospitalizations represent a valuable quality of care indicator in BD. OBJECTIVES: The aim of this study was to describe a nationwide perspective of BD related hospitalizations and to use a BigData based approach in mental health research. METHODS: We performed a retrospective observational study using a nationwide hospitalization database containing all hospitalizations registered in Portuguese public hospitals from 2008 to 2015. Hospitalizations with a primary diagnosis of BD were selected based on International Classification of Diseases version 9, Clinical Modification (ICD-9-CM) codes of diagnosis 296.xx (excluding 296.2x; 296.3x and 296.9x). RESULTS: A total of 20,807 hospitalizations were registered belonging to 13,300 patients. 33.4% of the hospitalizations occurred in male patients and the median LoS was 16.0 days. Mean age was 47.9 years and male patients were younger(46.6 vs. 48.6; p< 0.001). 59 hospitalizations had a deadly outcome (0.3%). The most common cause of hospitalization in BD was the diagnosis code 296.4x (Bipolar I disorder, most recent episode (or current) manic) representing 34.3% of all hospitalizations, followed by the code 296.5x (Bipolar I disorder, most recent episode (or current) depressed) with 21.4%. The mean hospitalization charges were 3,508.5€ per episode, with a total charge of 73M€ in the 8-year period of this study. CONCLUSIONS: This is a nationwide study using BigData analysis giving a broad perspective of BD hospitalization panorama at a nationwide level. We found differences in hospitalization characteristics by gender, age and primary diagnosis. DISCLOSURE: No significant relationships. Cambridge University Press 2021-08-13 /pmc/articles/PMC9471346/ http://dx.doi.org/10.1192/j.eurpsy.2021.234 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Gonçalves-Pinho, M.
Ribeiro, J.P.
Freitas, A.
Bipolar disorder hospitalizations – a big data approach
title Bipolar disorder hospitalizations – a big data approach
title_full Bipolar disorder hospitalizations – a big data approach
title_fullStr Bipolar disorder hospitalizations – a big data approach
title_full_unstemmed Bipolar disorder hospitalizations – a big data approach
title_short Bipolar disorder hospitalizations – a big data approach
title_sort bipolar disorder hospitalizations – a big data approach
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9471346/
http://dx.doi.org/10.1192/j.eurpsy.2021.234
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