Hospital characteristics associated with COVID-19 mortality: data from the multicenter cohort Brazilian Registry

Pandemic
DOI: 10.1007/s11739-022-03092-9 Publication Date: 2022-09-25T13:02:46Z
AUTHORS (87)
ABSTRACT
The COVID-19 pandemic caused unprecedented pressure over health care systems worldwide. Hospital-level data that may influence the prognosis in patients still needs to be better investigated. Therefore, this study analyzed regional socioeconomic, hospital, and intensive units (ICU) characteristics associated with in-hospital mortality admitted Brazilian institutions. This multicenter retrospective cohort is part of Registry. We enrolled ≥ 18 years old laboratory-confirmed participating hospitals from March September 2020. Patients' were obtained through hospital records. Hospitals' collected forms filled loco open national databases. Generalized linear mixed models logit link function used for pooling assess association between estimates. built two models, one tested general while other ICU characteristics. All analyses adjusted proportion high-risk at admission. Thirty-one included. mean number beds was 320.4 ± 186.6. These had eligible 6556 admissions during period. Estimated ranged 9.0 48.0%. first model included all 31 showed a private source funding (β = − 0.37; 95% CI 0.71 0.04; p 0.029) location areas high gross domestic product (GDP) per capita 0.40; 0.72 0.08; 0.014) independently lower mortality. second 23 an work shift composed more than 50% intensivists 0.59; 0.98 0.20; 0.003) higher less experienced medical professionals 0.11–0.68; 0.006). impact those increased according In-hospital varied significantly among hospitals. Private-funded located municipalities GDP When analyzing ICU-specific characteristics, teams reduced
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