LAUSR

Background Several studies have shown that unskilled birth attendance is associated with maternal and neonatal morbidity, disability, and death in sub-Saharan Africa (SSA). However, little evidence exists on prevailing geospatial variations and the factors underscoring the patterns of unskilled birth attendance in the region. This study analysed the geospatial disparities and factors associated with unskilled birth attendance in SSA. Methods The study is based on data from thirty (30) SSA countries captured in the latest (2010–2019) demographic and health surveys (DHS). A total of 200,736 women aged between 15–49 years were included in the study. Geospatial methods including spatial autocorrelation and hot spot analysis as well as logistic regression models were used to analyse the data. Results There were random spatial variations in unskilled birth attendance in SSA, with the main hotspot located in Chad, whereas South Africa and the Democratic Republic of Congo showed coldspots. Residence (urban or rural), wealth status, education, maternal age at the time of the survey and age at birth, desire for birth, occupation, media exposure, distance to a health facility, antenatal care visits, and deaths of under-five children showed significant associations with unskilled birth attendance. Conclusion Random geospatial disparities in unskilled birth attendance exist in SSA, coupled with various associated socio-demographic determinants. Specific geospatial hotspots of unskilled birth attendance in SSA can be targeted for specialised interventions to alleviate the prevailing disparities.