Bewuketu Terefe, Mahlet Moges Jembere, Nega Nigussie Abrha, Dejen Kahsay Asgedom, Solomon Keflie Assefa, Nega Tezera Assimamaw
BACKGROUND: Despite being included in the Millennium Development Goals (MDGs) and now the Sustainable Development Goals (SDGs), stillbirths remain overlooked with limited regional research, highlighting an ongoing gap in addressing this issue. However, a staggering 2 million stillbirths occur each year, equivalent to one every 16 s. Furthermore, approximately 98% of these stillbirths take place in developing countries, particularly in sub-Saharan Africa (SSA). In light of these statistics and the need to address the lack of data, methodological approaches, and population gaps, this study aims to assess the prevalence and determinants of stillbirths in SSA from 2016 to 2023, aligning with the SDGs.
METHODS: This study used data from the Demographic and Health Survey (DHS) conducted in SSA. The analysis included a weighted sample of 212,194 pregnancies of at least 28 weeks' gestation collected from 2016 to 2023, using R-4.4.0 software. Descriptive data, such as frequencies, were performed. Stillbirth prevalence was visualized using a forest plot. A multilevel modeling analysis was used by considering individual-level factors and community level factors. The multilevel model was employed to account for clustering within countries and allow for the examination of both fixed and random effects that influence stillbirths. For the multivariable analysis, variables with a p value ≤ 0.2 in the bivariate analysis were considered. The Adjusted Odds Ratio (AOR) with a 95% Confidence Interval (CI) and a p value < 0.05 were reported to indicate the statistical significance and the degree of association in the final model.
RESULTS: The pooled prevalence of stillbirths was found to be 1.54% per 100 [95% CI 1.19-2.01]. Factors positively associated with stillbirths in SSA included maternal age (25-34 years, 35-49 years), marital status (married, divorced or widowed), antenatal care visits, age at first birth (before age 20), short birth intervals, long birth intervals, birth order (second or third), residence in rural areas, country income level (lower middle income), and low literacy rate. Factors negatively associated with stillbirth mortality included maternal education (primary education, secondary or higher education), wealth index (higher economic status), access to mass media, access to improved drinking water, distance to health facilities, and country income level (upper middle income).
CONCLUSIONS: Stillbirth rates fall significantly short of achieving Every Newborn Action Plan target by 2030 in SSA. The analysis of factors that affect stillbirth mortality reveals important connections. It is essential to improve maternal education, economic status, and healthcare infrastructure to decrease stillbirth rates and enhance the health outcomes of mothers and children in the region. To effectively address these risks, efforts should concentrate on increasing access to antenatal care, raising awareness, and improving socio-economic conditions. By improving access to healthcare and education, these disparities could potentially lead to a decrease in stillbirth rates in the region.
