Using routine data to examine factors associated with stillbirth in three tertiary maternity facilities in Kabul, Afghanistan

Over one-third of the global stillbirth burden occurs in countries affected by conflict or a humanitarian crisis, including Afghanistan. Stillbirth rates in Afghanistan remained high in 2021 at over 26 per 1000 births. Stillbirths have devastating physical, psycho-social and economic impacts on women, families and healthcare providers. Data on the risks and causes of stillbirths are critical to target prevention measures and are currently lacking. This study aimed to use routine health facility data to examine the socio-demographic, maternal, fetal, and obstetric characteristics associated with stillbirth. This was a hospital-based case-control study of births at the maternity units of the three tertiary care referral hospitals in Kabul, Afghanistan between March-September 2021. Cases were defined as stillbirths that occurred at 22 weeks or later in pregnancy while live births occurring after each case were selected as controls. Multivariable logistic regression was used to explore factors associated with stillbirth after performing multiple imputation to impute missing data for independent variables. A total of 497 cases (stillbirths) and 1069 controls (live births) were included in the analysis. Factors independently associated with stillbirth while adjusting for maternal age and baby's sex were: being referred from another facility which increased the odds of stillbirth by over three times (aOR 3.24; 95% CI 1.17, 8.85) compared to those who were not referred; being born extremely preterm (