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COVID-19 hospitalizations in Brazil's Unified Health System (SUS)
Carla Lourenço Tavares de Andrade1, Claudia Cristina de Aguiar Pereira1, Mônica Martins1
1Departamento de Administração e Planejamento em Saúde, Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, RJ, Brazil.
Insights
COVID-19 hospitalizations in Brazil
Area of Science:
- Public Health
- Epidemiology
- Infectious Diseases
Background:
- COVID-19 significantly impacted Brazil's Unified Health System (SUS).
- Understanding hospitalization patterns and mortality factors is crucial for public health interventions.
Purpose of the Study:
- To characterize COVID-19 hospitalizations within the SUS.
- To identify factors associated with in-hospital mortality for COVID-19 patients.
Main Methods:
- Cross-sectional study using secondary data from February to June.
- Included adult patients with COVID-19 diagnoses.
- Employed generalized linear mixed models (GLMM) to analyze patient, care process, and hospital characteristics.
Main Results:
- 89,405 hospitalizations analyzed; 24.4% mortality rate.
- Higher mortality risk observed in males, older adults, Black individuals, and those with comorbidities or obesity.
- Regional disparities in mortality were noted, with higher risk in larger municipalities.
Conclusions:
- Significant variation exists in COVID-19 in-hospital mortality within the SUS.
- Mortality is linked to demographic, clinical, socioeconomic factors, and healthcare system disparities.
Objective:
To study the profile of hospitalizations due to COVID-19 in the Unified Health System (SUS) in Brazil and to identify factors associated with in-hospital mortality related to the disease.
Methods:
Cross-sectional study, based on secondary data on COVID-19 hospitalizations that occurred in the SUS between late February through June. Patients aged 18 years or older with primary or secondary diagnoses indicative of COVID-19 were included. Bivariate analyses were performed and generalized linear mixed models (GLMM) were estimated with random effects intercept. The modeling followed three steps, including: attributes of the patients; elements of the care process; and characteristics of the hospital and place of hospitalization.
Results:
89,405 hospitalizations were observed, of which 24.4% resulted in death. COVID-19 patients hospitalized in the SUS were predominantly male (56.5%) with a mean age of 58.9 years. The length of stay ranged from less than 24 hours to 114 days, with a mean of 6.9 (±6.5) days. Of the total number of hospitalizations, 22.6% reported ICU use. The odds on in-hospital death were 16.8% higher among men than among women and increased with age. Black individuals had a higher likelihood of death. The behavior of the Charlson and Elixhauser indices was consistent with the hypothesis of a higher risk of death among patients with comorbidities, and obesity had an independent effect on increasing this risk. Some states, such as Amazonas and Rio de Janeiro, had a higher risk of in-hospital death from COVID-19. The odds on in-hospital death were 72.1% higher in municipalities with at least 100,000 inhabitants, though being hospitalized in the municipality of residence was a protective factor.
Conclusion:
There was broad variation in COVID-19 in-hospital mortality in the SUS, associated with demographic and clinical factors, social inequality, and differences in the structure of services and quality of health care.
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