Spatial Inequalities in Utilisation of Four or More Antenatal Care Visits: A District-level Comparative Analysis of Assam and Tamil Nadu
摘要
Antenatal care (ANC) is central to improving maternal and neonatal outcomes; however, substantial geographic inequalities in utilisation persist in India, particularly at sub-state levels. Evidence on spatial clustering of four or more ANC visits (ANC4+) at the district level remains limited.
Purpose/SignificanceThis study examines district-level spatial patterns of ANC4 + coverage in Assam and Tamil Nadu and explores associations with maternal care pathway and socio-demographic factors across contrasting health system contexts.
Materials & MethodsA cross-sectional ecological analysis was conducted using district-level data from NFHS-5 (2019–21). Global Moran’s I assessed spatial autocorrelation, and Local Indicators of Spatial Association (LISA) identified local clusters. Spearman’s correlation examined non-spatial associations.
ResultsMean ANC4 + coverage was 52.3% (SD = 12.9) in Assam and 90.6% (SD = 5.4) in Tamil Nadu. Assam demonstrated strong positive spatial autocorrelation (Moran’s I = 0.623), with significant high-high and low-low clusters. Tamil Nadu demonstrated weak, non-significant positive spatial autocorrelation (Moran’s I = 0.124), with only limited localized clustering. In Assam, ANC4 + correlated positively with early ANC initiation (rs=0.679) and postnatal care within 2 days (rs=0.588), and negatively with early marriage (rs=–0.542). In Tamil Nadu, insurance coverage (rs=0.657) and postnatal care within 2 days (rs=0.614) were significant ecological correlates, while anaemia showed a negative association (rs=–0.525).
Discussion and ConclusionANC4 + coverage demonstrated marked spatial inequality in Assam, whereas Tamil Nadu showed relatively more homogeneous coverage with limited evidence of statewide spatial clustering. Ecological associations with maternal care pathway and socio-demographic indicators differed across states and were consistent with contrasting health system contexts. These findings support geographically targeted, district-level approaches to identify residual inequities and strengthen continuity of maternal care.