Epidemiological analysis of hospitalizations for Schizophrenia, Schizotypal Disorders and Delirium in Rio Grande do Sul over the last 5 years
L. Bardini, A. Roloff Krüger, G. Moreno Xavier, G. Fiorio Grando, J. Michelon, L. F. Alves Nascimento, J. Adames, A. T. Konzen, G. Pereira Bernd, C. Fontes Augusto, H. Wolmeister, I. Fachinetto Thoen, Y. de França, P. H. Filipin Von Muhlen, F. J. Carvalho da Costa, V. Kayser

TL;DR
This study analyzes hospitalization trends for schizophrenia, schizotypal disorders, and delirium in Rio Grande do Sul from 2018 to 2022, revealing patterns that could guide mental health interventions.
Contribution
The study provides a detailed epidemiological profile of psychiatric hospitalizations in Rio Grande do Sul, highlighting demographic and temporal trends.
Findings
Hospitalizations peaked in 2019, with urgent care admissions accounting for 85.34% of cases.
Men aged 35 to 39 years were most affected, and Caucasians made up 75.12% of hospitalizations.
The average length of stay was 23.7 days, with a low mortality rate of 0.26%.
Abstract
In recent years, mental health has gained prominence in public health, prompting thorough investigations into psychiatric condition trends. This study conducts a comprehensive epidemiological analysis of hospitalizations for Schizophrenia, Schizotypal, and Delirium Disorders in Rio Grande do Sul (RS) over the past five years. By revealing these patterns, it enhances our understanding of regional mental health dynamics and offers insights for intervention strategies, resource planning, and improved mental healthcare. The ultimate goal is to advance more effective and accessible mental healthcare in RS and beyond. This study aims to analyze the prevalence and epidemiological profile of hospitalizations due to psychiatric disorders to assist in the diagnosis and outcome of affected patients. A cross-sectional, descriptive, retrospective, and quantitative study was conducted regarding…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHealth, Nursing, Elderly Care · Public Health in Brazil · Health Systems, Economic Evaluations, Quality of Life
