clementafangama-gif/nigeria-maternal-health-analysis

Maternal Health Outcomes in Nigeria: Analyzing Antenatal Care Access, Skilled Birth Attendance, and Delivery Patterns — Nigeria DHS 2023/2024 # Maternal Health Outcomes in Nigeria ## Analyzing Antenatal Care Access, Skilled Birth Attendance, and Delivery Patterns ### Overview This project analyzes maternal health outcomes among women of reproductive age in Nigeria using data from the Nigeria Demographic and Health Survey (NDHS) 2023/2024. The analysis examines antenatal care utilization, place of delivery, skilled birth attendance, and postnatal care, with findings broken down by geopolitical zone, education level, and household wealth. --- ### Research Question What is the current state of maternal healthcare access and utilization among Nigerian women, and how do outcomes vary across geographic, educational, and socioeconomic lines? --- ### Dataset - **Source:** Nigeria Demographic and Health Survey (NDHS) 2023/2024 - **Provider:** DHS Program (dhsprogram.com) - **Sample Size:** 104,557 women of reproductive age - **Access:** Data available upon registration at dhsprogram.com > Note: The raw dataset is not included in this repository in compliance > with DHS Program data use terms. To replicate this analysis, register > and download the dataset directly from dhsprogram.com. --- ### Tools Used - **SPSS** — Data cleaning, descriptive statistics, and crosstabulation analysis - **Power BI** — Interactive dashboard and data visualization --- ### Key Findings - More than one in four women received no antenatal care during pregnancy - Over half of all deliveries occurred at home outside any health facility - The national caesarean section rate of 5.6% falls below the WHO recommended minimum of 10 to 15% - 84% of women received no postnatal health check after delivery - 54.6% of women identified cost as the biggest barrier to healthcare access - The North West geopolitical zone recorded the worst outcomes across every indicator analyzed - Women with no formal education and those in the poorest wealth quintiles were consistently the most at risk across all indicators --- ### Repository Structure # M …