Abstract
ABSTRACTOBJECTIVE Describe the profile of hospitalizations for cancer diagnosis in Brazil from 2008 to 2018 at Unified Health System (SUS).METHODS Time series study of hospitalization rate for malignant neoplasms at SUS. Data were extracted from the Hospital Information System of DataSUS. The trend was estimated using generalized linear regression, applying the Prais-Winsten estimation procedure.RESULTS From 2008 to 2018, the hospitalization rate for malignant neoplasms showed an increasing trend at SUS, with an annual variation of 10.7% (p < 0.001; CI = 9.4–11.7). An increasing trend of hospitalizations in all regions of Brazil was observed, except in the Northern region, which remained unchanged. The Northeastern region presented the highest annual variation (13.5%; p < 0.001), whereas the Southern and Southeastern regions had the highest hospitalization rates per 100,000 inhabitants, resulting in 506 and 325 hospitalizations, respectively. We observed a significant increasing trend in hospitalizations of children aged 0 to 9 years (annual variation = 10.9%; p < 0.001); young people, 10 and 19 years (annual variation = 6.9%; p < 0.001); and older adults; over 60 years (annual variation = 7.9%; p < 0.001). Among women, hospitalizations occurred mainly due to malignant neoplasm of the breast (annual variation = 13.2%; p < 0.001); and among men, malignant neoplasm of the prostate (annual variation = 4.7%; p < 0.001).CONCLUSION Hospitalizations for malignant neoplasms showed an increasing trend, in line with the increased incidence of cancer, in particular, the most frequent neoplasms between men and women. Although the Northeastern region showed the highest variation in the period, the Southern and Southeastern regions had the highest hospitalization rates in the country. We also observed an increase in hospitalizations among the young (between 0 and 19 years old) and older adults (over 60 years) population. Hospitalizations for neoplasm of the cervix in women, although still the third cause of hospitalizations, showed decreasing behavior.
Highlights
Observou-se também tendência crescente na taxa
Conflito de Interesses: Os autores declaram não haver conflito de interesses
Summary
Taxa real a A taxa de internações estimada foi calculada a partir a partir do coeficiente β1 do modelo de tendência estimado por regressão linear generalizada pelo método de Prais-Winsten[13]. Série temporal da taxa de internação observada (pontos) e estimada (linha)a por neoplasias malignas (número de internações por 100 mil habitantes), por região. Apenas Sergipe e Piauí apresentaram tendência estacionária, com variações anuais de 1,2% (p = 0,257) e 3% (p = 0,307). Os demais recortes analisados apresentaram tendências crescentes, com exceção da permanência acima de 25 dias, que foi estacionária. 800 700 600 500 anos ou mais a A taxa de internações estimada foi calculada a partir do coeficiente β1 do modelo de tendência estimado por regressão linear generalizada pelo método de Prais-Winsten[13]. Série temporal da taxa de internação observada (pontos) e estimada (linha)a por neoplasias malignas (número de internações por 100 mil habitantes), por perfil demográfico.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
