Applying Logit Model to Manage Maternal Mortality in Kazaure Emirate

Maternal mortality remains a significant public health challenge in Kazaure Emirate, Nigeria, necessitating evidence-based strategies to address its underlying causes. This study applies a logit model to identify the determinants of maternal mortality and propose targeted interventions. Data were collected from 1000 women of reproductive age, focusing on socioeconomic, medical and environmental factors such as such as maternal place of residence, maternal age at birth, husband occupation, maternal occupation, husband level of income, maternal level of income, maternal level of education, husband level of education, antenatal care, protein level, glucose level, prolonged labor, anemia, care rendered by an unskilled health practitioner, socio-cultural belief, place of delivery, domestic violence, access to healthcare facilities, infection after delivery, pregnancy-induced hypertension, miscarriage and other ailments or underlying diseases. The logit model revealed that low reproductive age, low education attainment by women or their households, rural residence, low level of income of women or their households, husband occupation, non-business mindset of women or their households, abnormal glucose level in women, bleeding, prolonged labor, anemia, care rendered by unskilled personnel, home delivery, access to healthcare facilities, pregnancy-induced hypertension, miscarriage and other ailments are significant predictors of maternal deaths. The model demonstrated strong predictive power, with a Nagelkerke R Squarevalue of 0.621 and an AUC of 0.918. These findings underscore the importance of improving healthcare access and promoting maternal education to reduce maternal mortality in Kazaure Emirate. Policy recommendations include expanding healthcare infrastructure, implementing community-based education programs and increasing investment in maternal health services. This study provides a data-driven framework for managing maternal mortality and offers actionable insights for policymakers and healthcare providers to improve maternal health outcomes in the region