RESUMO
OBJECTIVE: To describe the incidence, and sociodemographic and clinical factors associated with preterm birth and perinatal mortality in Nigeria. DESIGN: Secondary analysis of data collected through the Maternal Perinatal Database for Quality, Equity and Dignity (MPD-4-QED) Programme. SETTING: Data from births in 54 referral-level hospitals across Nigeria between 1 September 2019 and 31 August 2020. POPULATION: A total of 69 698 births. METHODS: Multilevel modelling was used to determine the factors associated with preterm birth and perinatal mortality. OUTCOME MEASURES: Preterm birth and preterm perinatal mortality. RESULTS: Of 62 383 live births, 9547 were preterm (153 per 1000 live births). Maternal age (<20 years - adjusted odds ratio [aOR] 1.52, 95% CI 1.36-1.71; >35 years - aOR 1.23, 95% CI 1.16-1.30), no formal education (aOR 1.68, 95% CI 1.54-1.84), partner not gainfully employed (aOR 1.94, 95% CI 1.61-2.34) and no antenatal care (aOR 2.62, 95% CI 2.42-2.84) were associated with preterm births. Early neonatal mortality for preterm neonates was 47.2 per 1000 preterm live births (451/9547). Father's occupation (manual labour aOR 1.52, 95% CI 1.20-1.93), hypertensive disorders of pregnancy (aOR 1.37, 95% CI 1.02-1.83), no antenatal care (aOR 2.74, 95% CI 2.04-3.67), earlier gestation (28 to <32 weeks - aOR 2.94, 95% CI 2.15-4.10; 32 to <34 weeks - aOR 1.80, 95% CI 1.3-2.44) and birthweight <1000 g (aOR 21.35, 95% CI 12.54-36.33) were associated with preterm perinatal mortality. CONCLUSIONS: Preterm birth and perinatal mortality in Nigeria are high. Efforts should be made to enhance access to quality health care during pregnancy, delivery and the neonatal period, and improve the parental socio-economic status.
RESUMO
OBJECTIVE: To determine the prevalence of primary postpartum haemorrhage (PPH), risk factors, and maternal and neonatal outcomes in a multicentre study across Nigeria. DESIGN: A secondary data analysis using a cross-sectional design. SETTING: Referral-level hospitals (48 public and six private facilities). POPULATION: Women admitted for birth between 1 September 2019 and 31 August 2020. METHODS: Data collected over a 1-year period from the Maternal and Perinatal Database for Quality, Equity and Dignity programme in Nigeria were analysed, stratified by mode of delivery (vaginal or caesarean), using a mixed-effects logistic regression model. MAIN OUTCOME MEASURES: Prevalence of PPH and maternal and neonatal outcomes. RESULTS: Of 68 754 women, 2169 (3.2%, 95% CI 3.07%-3.30%) had PPH, with a prevalence of 2.7% (95% CI 2.55%-2.85%) and 4.0% (95% CI 3.75%-4.25%) for vaginal and caesarean deliveries, respectively. Factors associated with PPH following vaginal delivery were: no formal education (aOR 2.2, 95% CI 1.8-2.6, P < 0.001); multiple pregnancy (aOR 2.7, 95% CI 2.1-3.5, P < 0.001); and antepartum haemorrhage (aOR 11.7, 95% CI 9.4-14.7, P < 0.001). Factors associated with PPH in a caesarean delivery were: maternal age of >35 years (aOR 1.7, 95% CI 1.5-2.0, P < 0.001); referral from informal setting (aOR 2.4, 95% CI 1.4-4.0, P = 0.002); and antepartum haemorrhage (aOR 3.7, 95% CI 2.8-4.7, P < 0.001). Maternal mortality occurred in 4.8% (104/2169) of deliveries overall, and in 8.5% (101/1182) of intensive care unit admissions. One-quarter of all infants were stillborn (570/2307), representing 23.9% (429/1796) of neonatal intensive care unit admissions. CONCLUSIONS: A PPH prevalence of 3.2% can be reduced with improved access to skilled birth attendants.
