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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
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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. |
format | Online Article Text |
id | pubmed-9471346 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
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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