Sex differences in the care of the fetus in the mother's womb and the neonate on her lap: Evidence from demographic surveillance and survey data from Bangladesh.

Valuation of sons over daughters introduces sex-biased health, economic, and socio-demographic inequalities in many societies. This study aims to examine fetus-sex differences in maternity services and sex differences in medical care for terminally ill neonates in Bangladesh, using secondary data from the Matlab Health and Demographic Surveillance System (HDSS), maintained by icddr,b since 1966 along with data from the Bangladesh Maternal Mortality and Health Care Survey (BMMS) 2016. The HDSS follows a well-defined rural population (0.24 million in 2018) to register vital events and migrations and records the use of maternity services for the index birth and medical care-seeking during the terminal illness of each death in verbal autopsy. The BMMS 2016 recorded maternity care and maternal complications for the last live birth of mothers in the same population (weighted n = 27,133; unweighted n = 26,939). Bivariate analyses estimated the use (in %) of maternity services for the index live births and medical services for terminally ill neonates for each socio-demographic variable. Logistic regression models estimated odds ratios (AORs) adjusted for socio-demographic variables and clustering of births to the same mothers. The HDSS registered 49,827 live births and 1,049 neonatal deaths during 2009-2018. We found similar prenatal care-seeking for male and female fetuses but higher facility delivery (AOR = 1.17, 95% CI: 1.12-1.23) and C-sections (AOR = 1.20, 95% CI: 1.15-1.25) for male fetus pregnancies, differences that remain after adjusting for maternal complications. Sex differences persisted in seeking care for terminally ill neonates. Trained provider consultation (AOR = 1.46, CI: 1.00-2.12); hospital admissions (AOR = 1.43, CI: 1.01-2.03); and dying in hospital (AOR = 1.91, CI: 1.31-2.78) were all higher for male neonates. Other variables positively associated with delivery care and medical care-seeking were lower birth order of the child, higher maternal education, and higher household wealth status. Policy and decision-makers need to be aware of gender disparities in maternity care and care of sick neonates and plan remedial actions.

Indications and determinants of caesarean section delivery: Evidence from a population-based study in Matlab, Bangladesh.

BACKGROUND AND METHODS: Caesarean section (C-section) is a major obstetric intervention for saving lives of women and their newborns from pregnancy and childbirth related complications. Un-necessary C-sections may have adverse impact upon maternal and neonatal outcomes. In Bangladesh there is paucity of data on clinical indication of C-section at population level. We conducted a retrospective study in icddr,b Health and Demographic Surveillance System (HDSS) area of Matlab to look into the indications and determinants of C-sections. All resident women in HDSS service area who gave birth in 2013 with a known birth outcome, were included in the study. Women who underwent C-section were identified from birth and pregnancy files of HDSS and their indication for C-section were collected reviewing health facility records where the procedure took place, supplemented by face-to-face interview of mothers where data were missing. Indications of C-section were presented as frequency distribution and further divided into different groups following 3 distinct classification systems. Socio-demographic predictors were explored following statistical method of binary logistic regression. FINDINGS: During 2013, facility delivery rate was 84% and population based C-section rate was 35% of all deliveries in icddr,b service area. Of all C-sections, only 1.4% was conducted for Absolute Maternal Indications (AMIs). Major indications of C-sections included: repeat C-section (24%), foetal distress (21%), prolonged labour (16%), oligohydramnios (14%) and post-maturity (13%). More than 80% C-sections were performed in for-profit private facilities. Probability of C-section delivery increased with improved socio-economic status, higher education, lower birth order, higher age, and with more number of Antenatal Care use and presence of bad obstetric history. Eight maternal deaths occurred, of which five were delivered by C-section. CONCLUSIONS: C-section rate in this area was much higher than national average as well as global recommendations. Very few of C-sections were undertaken for AMIs. Routine monitoring of clinical indication of C-section in public and private facilities is needed to ensure rational use of the procedure.