Neonatal jaundice incidence, risk factors and outcomes in referral-level facilities in Nigeria.

OBJECTIVE: To determine the incidence, risk factors and outcomes of babies with neonatal jaundice in a network of referral-level hospitals in Nigeria. DESIGN: A cross-sectional analysis of perinatal data collected over a 1-year period. SETTING: Fifty-four referral-level hospitals (48 public and 6 private) across the six geopolitical zones of Nigeria. POPULATION: A total of 77 026 babies born at or admitted to the participating facilities (67 697 hospital live births; plus 9329 out-born babies), with information on jaundice between 1 September 2019 and 31 August 2020. METHODS: Data were extracted and analysed to calculate incidence and sociodemographic and clinical risk factors for neonatal jaundice. MAIN OUTCOME MEASURES: Incidence and risk factors of neonatal jaundice in the 54-referral hospitals in Nigeria. RESULTS: Of 77 026 babies born in or admitted to the participating facilities, 3228 had jaundice (41.92 per 1000 live births). Of the 67 697 hospital live births, 845 babies had jaundice (12.48 per 1000 live births). The risk factors associated with neonatal jaundice were no formal education (adjusted odds ratio [aOR] 1.68, 95% CI 1.11-2.52) or post-secondary education (aOR 1.17, 95% CI 0.99-1.38), previous caesarean section (aOR 1.68, 95% CI 1.40-2.03), booked antenatal care at <13 weeks or 13-26 weeks of gestation (aOR 1.58, 95% CI 1.20-2.08; aOR 1.15, 95% CI 0.93-1.42, respectively), preterm birth (aOR 1.43, 95% CI 1.14-1.78) and labour more than 18 hours (aOR 2.14, 95% CI 1.74-2.63). CONCLUSIONS: Hospital-level and regional-level strategies are needed to address newborn jaundice, which include a focus on management and discharge counselling on signs of jaundice.

Maternal morbidity and death associated with pregnancy loss before 28 weeks in Nigeria.

OBJECTIVE: To determine the prevalence of maternal morbidity and death from pregnancy loss before 28 weeks in referral-level hospitals in Nigeria. DESIGN: Secondary analysis of a nationwide cross-sectional study. SETTING: Fifty-four referral-level hospitals. POPULATION: Women admitted for complications arising from pregnancy loss before 28 weeks between 1 September 2019 to 31 August 2020. METHODS: Frequency and type of pregnancy loss were calculated using the extracted data. Multilevel logistic regression was used to determine sociodemographic and clinical factors associated with early pregnancy loss. Factors contributing to death were also analysed. MAIN OUTCOME MEASURES: Prevalence and outcome of pregnancy loss at <28 weeks; sociodemographic and clinical predictors of morbidity after early pregnancy loss; contributory factors to death. RESULTS: Of the 4798 women who had pregnancy loss at <28 weeks of pregnancy, spontaneous abortion accounted for 49.2%, followed by missed abortion (26.9%) and ectopic pregnancy (15%). Seven hundred women (14.6%) had a complication following pregnancy loss and 99 women died (2.1%). Most complications (26%) and deaths (7%) occurred after induced abortion. Haemorrhage was the most frequent complication in all types of pregnancy loss with 11.5% in molar pregnancy and 6.9% following induced abortion. Predictors of complication or death were low maternal education, husband who was not gainfully employed, grand-multipara, pre-existing chronic medical condition and referral from another facility or informal setting. CONCLUSION: Pregnancy loss before 28 weeks is a significant contributor to high maternal morbidity and mortality in Nigeria. Socio-economic factors and delays in referral to higher levels of care contribute significantly to poor outcomes for women.

Obstetric morbidity and socio-cultural predictors of ruptured uterus among women in Southeast Nigeria.

This study determined the incidence, obstetric morbidity and the socio-cultural factors associated with ruptured uterus. A 6-year prospective review of ruptured uterus and an enquiry into socio-cultural barriers to specialised care was conducted. The incidence of ruptured uterus was 12 per 1000 deliveries. Occurrence was common in uneducated (78/116; 67.2%), unbooked (110/116; 94.8%) and rural women (112/116; 96.6%). The major causes were prolonged obstructed labour (104/116; 89.7%) and injudicious use of oxytocics (90/116; 77.6%). The maternal and perinatal case fatality rates were 18.1% and 96.6%, respectively. Complications resulted from haemorrhage and sepsis. Lack of birth plan (97/116; 79.3%) and unskilled birth attendance (110/116; 94.8%) were major socio-cultural risk factors. There was an association between education (p = 0.001), parity (p = 0.002), residence (<0.001), type of birth attendance (<0.001) and ruptured uterus. Women in low-income settings face threats of complications and death from uterine rupture, owing to preventable socio-cultural barriers of accessing specialised obstetric care.

Obstetric benefits of health insurance: A comparative analysis of obstetric indices and outcome of enrollees and non-enrollees in southeast Nigeria.

This study determined the obstetric benefits and compared the obstetric indices and pregnancy outcome of enrollees and non-enrollees of the national health insurance scheme (NHIS). A prospective cohort study of enrollees and non-enrollees of NHIS was conducted over 2 years. Data was analysed with Epi-info statistical software. Malaria (25.3% versus 8.0%, p value ≤0.001), anaemia (11.3% versus 3.3%, p value ≤0.0001), preterm delivery (8.0% versus 2.7% p value = 0.00001), antenatal default rate (22.7% versus 6.7%, p value = 0.0001) and maternal death (2.7% versus 0.7%, p value = 0.00001) were higher in the non-insured. Singleton low birth weight (9.3% versus 2.7%, p value = 0.00001) and new born admission (10.7% versus 4.7%, p value = 0.00001) were also more in non-enrollee, with higher perinatal deaths (6.7% versus 2.0%, p value = 0.00001). Women managed under the Nigerian NHIS scheme had better maternal and perinatal indices, therefore, effort should be scaled up to ensure universal health insurance coverage for all parturient and their newborn.