Critical comparative analysis of data sources toward understanding referral during pregnancy and childbirth: three perspectives from Nigeria.

BACKGROUND: The highest risk of maternal and perinatal deaths occurs during and shortly after childbirth and is preventable if functional referral systems enable women to reach appropriate health services when obstetric complications occur. Rising numbers of deliveries in health facilities, including in high mortality settings like Nigeria, require formalised coordination across the health system to ensure that women and newborns get to the right level of care, at the right time. This study describes and critically assesses the extent to which referral and its components can be captured using three different data sources from Nigeria, examining issues of data quality, validity, and usefulness for improving and monitoring obstetric care systems. METHODS: The study included three data sources on referral for childbirth care in Nigeria: a nationally representative household survey, patient records from multiple facilities in a state, and patient records from the apex referral facility in a city. We conducted descriptive analyses of the extent to which referral status and components were captured across the three sources. We also iteratively developed a visual conceptual framework to guide our critical comparative analysis. RESULTS: We found large differences in the proportion of women referred, and this reflected the different denominators and timings of the referral in each data source. Between 16 and 34% of referrals in the three sources originated in government hospitals, and lateral referrals (origin and destination facility of the same level) were observed in all three data sources. We found large gaps in the coverage of key components of referral as well as data gaps where this information was not routinely captured in facility-based sources. CONCLUSIONS: Our analyses illustrated different perspectives from the national- to facility-level in the capture of the extent and components of obstetric referral. By triangulating across multiple data sources, we revealed the strengths and gaps within each approach in building a more complete picture of obstetric referral. We see our visual framework as assisting further research efforts to ensure all referral pathways are captured in order to better monitor and improve referral systems for women and newborns.

Clinical characteristics and outcomes for pregnant women diagnosed with COVID-19 disease at the University of Benin Teaching Hospital, Benin City, Nigeria.

INTRODUCTION: the novel coronavirus disease (COVID-19) pandemic has challenged health systems around the world. This study was designed to describe the socio-demographic characteristics of pregnant women with COVID-19 infection, the common clinical features at presentation and the pregnancy outcome at the University of Benin Teaching Hospital, Edo State, Nigeria. METHODS: a cross-sectional analytical study of all confirmed cases of COVID-19 infection from April to September 2020. RESULTS: out of 69 suspected cases that were tested, 19 (28.4%) were confirmed with COVID-19 infection. The common presenting complaints were fever (68.4 %), cough (57.9 %), sore throat (31.6%), malaise (42.1%), loss of taste (26.3%), anosmia (21.1%), and difficulty with breathing (10.6%). In terms of treatment outcome, 57.9% delivered while 36.8% recovered with pregnancy on-going, and 1 (5.3%) maternal death. Of the 11 women who delivered, 45.4% had vaginal deliveries and 54.6 % had Caesarean section. The mean birth weight was 3.1kg and most of the neonates (81.8%) had normal Apgar scores at birth. There was 1 perinatal death from prematurity, birth asphyxia, and intrauterine growth restriction. The commonest diagnosed co-morbidity of pregnancy was preeclampsia and it was significantly associated with severe COVID-19 disease requiring oxygen supplementation (P = 0.028). CONCLUSION: the clinical symptoms of COVID-19 in pregnancy are similar to those described in the non-pregnant population. It did not seem to worsen the maternal or foetal pregnancy outcome. The occurrence of preeclampsia is significantly associated with severe COVID-19 infection requiring respiratory support.