Kano State Surveillance for Evidence and Policy (KASSEP)

AI Analysis: The Stillbirth Rate (SBR) varies significantly across LGAs, with Gaya (292.82), Wudil (289.62), and Dawakin Kudu (236.99) showing the highest unweighted rates. This geographical disparity suggests localized factors influencing stillbirth risk, such as healthcare access disparities, environmental factors, or socioeconomic conditions. LGAs with lower SBR like Minjibir (10.55), Bichi (13.89), and Shanono (18.60) may have successful maternal health interventions worth studying for replication.

AI Analysis: The Southern senatorial zone shows a significantly higher stillbirth rate (126.47 unweighted, 147.56 weighted) compared to Central (113.75/92.74) and Northern (79.73/72.84) zones. This 58% higher rate in the South suggests substantial regional disparities in maternal healthcare quality, accessibility, or socioeconomic determinants. The difference between weighted and unweighted rates indicates that population weighting affects the interpretation, particularly in the Central zone where weighting reduces the SBR by approximately 18.5%.

AI Analysis: Maternal age shows a U-shaped relationship with stillbirth risk, with higher rates at both extremes of the age spectrum. The highest rates are observed in the 40-44 age group (63.39 unweighted), followed by 30-34 (62.44) and 35-39 (60.91). Adolescents (15-19) show a moderately elevated risk (56.36). The lowest risk appears in the 20-24 (52.61) and 25-29 (51.93) age groups. This pattern aligns with global trends where advanced maternal age increases pregnancy risks, while teenage pregnancies may face socioeconomic challenges affecting outcomes.

AI Analysis: Education level shows a clear protective effect against stillbirths. Women with higher education have the lowest SBR (26.85), approximately one-fifth the rate of those with no formal education (51.17). Islamic education (61.92) shows higher rates than primary (55.46) or secondary (54.20) education. This gradient highlights the importance of education in health literacy, access to care, and health-seeking behaviors. The exceptionally low rate in the "Other Education" category should be interpreted cautiously due to the small sample size (n=57).

AI Analysis: Income level demonstrates a complex relationship with stillbirth rates. Contrary to expectations, the "Not Poor" category shows the highest SBR (133.76), while the low-income group has a high but slightly lower rate (112.20), and the moderate-income group shows the lowest rate (85.25). This counterintuitive pattern may reflect small sample sizes in the higher income categories or suggest that other factors like education, healthcare access, or health behaviors may mediate the income-stillbirth relationship. Further investigation is needed to understand this unexpected distribution.