Hospital admissions due to neglected tropical diseases in Piauí, in the Northeast region of Brazil: costs, time trends, and spatial patterns, 2001-2018

To characterize the magnitude of hospital admissions and costs of patients with neglected tropical diseases, their time trends, and spatial patterns in Piauí, in the Northeast Region of Brazil, in 2001-2018. Ecological study of mixed designs, with calculation of relative risk (RR), time-trend analysis by Poisson regression, and inflection points, using data from neglected tropical diseases Hospital Admission Authorizations available in the Hospital Information System of the Brazilian Unified National Health System (SIH/SUS). Data showed 49,832 hospital admissions due to neglected tropical diseases in the period (rate: 86.70/100,000 inhabitants; 95%CI: 83.47; 89.93); of these, dengue (78.2%), leishmaniasis (8.6%), and leprosy (6.4%). The total cost was BRL 34,481,815.43, 42.8% of which referred to medium complexity cases. Higher risks of hospitalization occurred among people ≥ 60 years (RR = 1.8; 95%CI: 1.5; 2.2), mixed race/color (RR = 1.7; 95%CI: 1.1; 2.4), residents of municipalities presenting medium social vulnerability (RR = 1.5; 95% CI: 1.3; 1.6), and population size (RR = 1.6; 95%CI: 1.4; 1.9). The time trend showed a reduction in hospital admissions due to neglected tropical diseases, 2003-2018 (annual percent change - APC: -10.3; 95%CI: -14.7; -5.6). The spatial pattern showed clusters with higher rates of hospital admission in border municipalities located south of the Mid-north macroregion, north of the Semiarid macroregion, and south of the Cerrados macroregion. Piauí remains with high hospital admission rates and costs for neglected tropical diseases. Despite the reduction in time trends, knowledge burden, population groups, and municipalities at greater risk and vulnerability reinforce the importance of monitoring and strengthening control actions to maintain the reduction of the burden and costs of hospital admission due to neglected tropical diseases in the state.

Keywords:
Neglected Diseases; Hospitalization; Morbidity; Spatial Analysis; Times Series Studies