The aim of this study was to analyze the validity and reliability of data and the avoidability of neonatal deaths in the intensive care unit in the North-Northeast Perinatal Care Network (RENOSPE). The sample included 53 neonatal deaths recorded in the RENOSPE database that occurred in a maternity hospital in Teresina, Piauí State, Brazil. Validity was assessed by comparing causes recorded in the database with those from patient charts and calculating kappa index, sensitivity, and positive predictive value (PPV). Analysis of avoidability used the Brazilian List of Avoidable Deaths. When causes of death recorded in the RENOSPE database were compared with patient charts, kappa was 47.6% for maternal causes and 73.9% for congenital malformations, sensitivity was 95% and 83.3%, and PPV was 88.9% and 85.7%, respectively. The percentage of avoidable deaths in the RENOSPE database was high, attributable to lack of adequate prenatal care in 72% of cases. In conclusion, causes classified as congenital malformations were valid, and the high rate of avoidable deaths points to the need for improved prenatal care.
Neonatal Mortality; Underlying Cause of Death; Validity of Tests
