Spatial and sociodemographic factors associated with surgical site infection rates in hospitals in inner Sao Paulo State, Brazil

Low-to-middle-income countries often have high incidence of surgical site infection (SSI). To assess spatial and sociodemographic predictors of SSI rates, this study analysed and georeferenced governmental surveillance data from 385 hospitals located in inner Sao Paulo State, Brazil. In multi-variate models, SSI rates were positively associated with distance from the state capital [incidence rate ratio (IRR) for each 100 km 1.19, 95% confidence interval (CI) 1.07-1.32], and were lower for non-profit (IRR 0.95, 95% CI 0.37-0.85) and private (IRR 0.47, 95% CI 0.31-0.71) facilities compared with public hospitals. Georeferencing results reinforced the need to direct SSI-prevention policies to hospitals located in areas distant from the state capital. (C) 2020 The Healthcare Infection Society. Published by Elsevier Ltd. All rights reserved.

Automated summary

This study analyzed governmental surveillance data from 385 hospitals in inner Sao Paulo State, Brazil to assess spatial and sociodemographic predictors of surgical site infection (SSI) rates. The results showed that SSI rates were positively associated with distance from the state capital, and lower in non-profit and private facilities compared to public hospitals. Georeferencing results suggest the need to focus SSI-prevention policies on hospitals located farther from the state capital.