Bipolar Disorder Related Hospitalizations - a Descriptive Nationwide Study Using a Big Data Approach
Autores da FMUP
Participantes de fora da FMUP
- von Doellinger, O
- Ribeiro, JP
Unidades de investigação
Abstract
Bipolar Disorder (BD) is a mental disorder which frequently requires long hospitalizations and need for acute psychiatric care. 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. We performed a retrospective observational study using a nationwide hospitalization database containing all hospitalizations registered in Portuguese public hospitals from 2008-2015. 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). From 20,807 hospitalizations belonging to 13,300 patients, around 33.4% occurred in male patients with a median length of stay of 16.0 days and a mean age of 47.9 years. The most common hospitalization diagnosis in BD has the code 296.4x (manic episode) representing 34.3% of all hospitalizations, followed by the code 296.5x (depressed episode) with 21.4%. The mean estimated hospitalization charge was 3,508.5(sic) per episode, with a total charge of 73M(sic) in the 8-year period of this study.This is a nationwide study giving a broad perspective of the BD hospitalization panorama at a national level. We found important differences in hospitalization characteristics by sex, age and primary diagnosis.
Dados da publicação
- ISSN/ISSNe:
- 0033-2720, 1573-6709
- Tipo:
- Article
- Páginas:
- 325-333
- Link para outro recurso:
- www.scopus.com
Psychiatric Quarterly Kluwer Academic/Human Sciences Press Inc.
Citações Recebidas na Web of Science: 7
Citações Recebidas na Scopus: 10
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Filiações
Keywords
- Bipolar disorder; Hospitalization; Big data; Health services
Campos de estudo
Financiamento
Proyectos asociados
A machine learning-based approach to support the assessment of clinical coded data quality in the context of Diagnosis-Related Groups classification systems
Investigador Principal: José Alberto da Silva Freitas
Estudo Clínico Académico . 2020
Citar a publicação
Gon?alves M,Freitas A,von O,Ribeiro JP. Bipolar Disorder Related Hospitalizations - a Descriptive Nationwide Study Using a Big Data Approach. Psychiatr. Q. 2022. 93. (1):p. 325-333. IF:3,500. (2).