The burden of stillbirths in low resource settings in Latin America: Evidence from a network using an electronic surveillance system.

Objective: To determine stillbirth ratio and its association with maternal, perinatal, and delivery characteristics, as well as geographic differences in Latin American countries (LAC).

Methods: We analysed data from the Perinatal Information System of the Latin American Center for Perinatology and Human Development (CLAP) between January 2018 and June 2021 in 8 health facilities from five LAC countries (Bolivia, Guatemala, Honduras, Nicaragua, and the Dominican Republic). Maternal, pregnancy, and delivery characteristics, in addition to pregnancy outcomes were reported.

Neonatal outcomes according to different degrees of maternal morbidity: cross-sectional evidence from the Perinatal Information System (SIP) of the CLAP network.

Background: The burden of maternal morbidity in neonatal outcomes can vary with the adequacy of healthcare provision and tool implementation to improve monitoring. Such information is lacking in Latin American countries, where the decrease in severe maternal morbidity and maternal death remains challenging.

Objectives: To determine neonatal outcomes according to maternal characteristics, including different degrees of maternal morbidity in Latin American health facilities.

The impact of maternal morbidity on cesarean section rates: exploring a Latin American network of sentinel facilities using the Robson's Ten Group Classification System.

Background: Latin America has the highest Cesarean Section Rates (CSR) in the world. Robson's Ten Group Classification System (RTGCS) was developed to enable understanding the CSR in different groups of women, classified according to obstetric characteristics into one of ten groups. The size of each CS group may provide helpful data on quality of care in a determined region or setting.