RESUMO
OBJECTIVE: To compile, consolidate, and analyze information obtained in surveys conducted by the MEASURE DHS [Demographic and Health Surveys] program, concerning obstetric care and pregnancy complications for women in Latin America and the Caribbean, in the five years before the survey. METHODS: This exploratory study utilized data from demographic surveys carried out in the 1990s in seven countries of Latin America: Bolivia, Brazil, Colombia, the Dominican Republic, Guatemala, Nicaragua and Peru. The study describes the characteristics of the women who were interviewed and of the obstetric care that they received in the five years before the respective survey, and it also estimates the occurance of prolonged labor and of hemorrhagic, hypertensive, and infectious complications in those five years. RESULTS: The median number of prenatal consultations ranged from 4.7 in Bolivia to 6.6 in the Dominican Republic. More than 40 percent of deliveries in Guatemala, Peru, and Bolivia were attended by traditional midwives, relatives, or other persons without formal training. The highest rates of deliveries performed in health care facilities (>90 percent) were in the Dominican Republic and Brazil. In Guatemala, Peru, and Bolivia more than 45 percent of deliveries were at home. The highest rate of cesarean delivery was in Brazil (36.4 percent), and the lowest rates (<12 percent) were in Peru and Guatemala. The rate of pregnancy complications reported by the women surveyed was 16.7 percent in Brazil, 17.9 percent in Guatemala, 42.1 percent in Colombia, 42.5 percent in Nicaragua, 43.0 percent in the Dominican Republic, 51.7 percent in Bolivia, and 51.8 percent in Peru. CONCLUSION: The reported occurance of severe pregnancy complications in the surveys we examined was well above the 15 percent rate reported in other scientific literature, suggesting that these complications may have been overestimated in the MEASURE DHS surveys. Prior validation of the questionnaires used for data collection is extremely important in the generation of high-quality data (AU)
