Multicenter Analysis on Morbidity, Mortality, and Medical Care in Neonates at the Hospital Gineco Obstetrico Isidro Ayora, Hospital General Docente de Calderon, and Hospital Gineco Obstetrico Pediatrico de Nueva Aurora Luz Elena Arismendi, January 2008 - June 2024, Quito-Ecuador (clinical research design protocol)

Introduction: In 1983, the Latin American Center for Perinatology/Women's Health and Reproductive Health published the Perinatal Information System, which records perinatal information of the mother and newborn. At the Hospital Gineco Obstetrico Isidro Ayora, there has been an electronic record of this database since 2008. In 2016, the Ministerio de Salud Publica adapted and added registration variables to this medical history. Similarly, at the Hospital General docente de Calderon and the Hospital Gineco Obstetrico Pediatrico de Nueva Aurora Luz Elena Arismendi, there are records of neonatal care such as neonatal anthropometry, perinatal risk factors, admission diagnoses, and length of hospital stay. These variables can be integrated with the database of the Hospital Gineco Obstetrico Isidro Ayora. Objectives: Analyze the variables of the perinatal clinical history to identify factors associated with changes in fetal-neonatal morbidity and mortality. Methods: Descriptive, analytical, observational study using secondary sources. Frequentist and Bayesian statistical analyses will be applied. To determine the association between qualitative variables, the Chi-square test and logistic regression models will be used. The t-test and linear regression will be used to analyze numerical variables. Statistical significance will be set at p<0.05, and Odds Ratios with a 95% confidence interval will be calculated. Neonatal growth curves stratified by sex and gestational age will be developed. The statistical program R will be used. Expected Results: The characteristics of the population served in the hospitals in the north, central, and south of Quito, as well as the demographic and obstetric data of the mothers and their neonates, will be known. Perinatal characteristics associated with an increase or decrease in neonatal morbidity and mortality will be identified. Trends in maternal and child health will be detected and compared with national and international standards.