Spatiotemporal trends in hospital morbidity indicators due to road traffic injuries in the state of Piauí, Brazil, 2010-2023.

Authors

Francisco Gabriel Thomaz Bastos, Gabriel Stumpf Bastos Amorim, Francisco Antônio da Cruz Dos Santos, Malvina Thaís Pacheco Rodrigues, Márcio Dênis Medeiros Mascarenhas

Published in

Revista brasileira de epidemiologia = Brazilian journal of epidemiology. Volume 29. Pages e260044. Epub Aug 24, 2026.

Abstract

To analyze spatiotemporal trends in hospital morbidity indicators for road traffic injuries in the state of Piauí, Brazil, from 2010 to 2023.
This is an ecological, time-series and spatial analysis using data from the Hospital Information System of the Brazilian Unified Health System. Trends in hospitalization rates, according to health regions and sociodemographic characteristics, were analyzed using annual percent change (APC) and 95% confidence intervals (95%CI), estimated by Prais-Winsten regression. Spatial clusters were identified at the municipality level using Local Indicators of Spatial Association (LISA) maps.
A total of 80,251 hospitalizations due to road traffic injuries were recorded. The mean hospitalization rate was 176.1/100 thousand inhabitants, showing an increasing trend (APC 5.72; 95%CI 1.04; 10.61), while case fatality (2.3%) remained stable (APC -2.42; 95%CI -5.07; 0.30). The mean hospitalization cost per admission (BRL 1,123.92) showed a decreasing trend (APC -3.17; 95%CI -5.57; -0.71), whereas the mean length of hospital stay (4.9 days) remained stable (APC -1.07; 95%CI -2.96; 0.86). High-high spatial clusters of hospitalization rates were observed in municipalities located in the Northern and Southern regions of the state.
Hospitalization rates for road traffic injuries increased in Piauí, followed by a reduction in mean cost and stability in case fatality and length of hospital stay. Higher morbidity was concentrated in the Northern and Southern regions, suggesting a geographic shift of hospital morbidity toward inland areas.

PMID:
42659439
Bibliographic data and abstract were imported from PubMed on 28 Aug 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.