Geographic disparities in antenatal care utilization in Addis Ababa city, Ethiopia using demographic and health survey data: A small area estimation approach.

Heyi WD., Macharia PM., Asefa A., Beňová L., Olagunju OS., Mekonnen W.

OBJECTIVE: Despite new recommendations for eight visits, four visits (ANC4+ ) remain low and inequitable in sub-Saharan Africa. Intra-urban estimates are often lacking to inform targeted interventions. This study applied small area estimation (SAE) to model the spatial variation of ANC4+ coverage in Addis Ababa city, Ethiopia. STUDY DESIGN: Cross-sectional. METHODS: We analyzed data from women who had given a live birth in the five years preceding the 2016 Ethiopia Demographic and Health Surveys (DHS) in Addis Ababa city (∼5million population). In addition to covariates from DHS, we included auxiliary data on travel time to the nearest health facility . A Bayesian hierarchical spatial model was used to model ANC4+ coverage in the 10 sub-cities of Addis Ababa city, adjusting for covariates. RESULT: Overall ANC4+ was 88.7 % (95 % CI: 84.2-92.1), with sub-city variation ranging from 80.6 % in Kolfe Keranio to 98.2 % in Nifas Silk Lafto. Eight of the ten sub-cities had ANC4+ coverage less than 90 %. Women less than 20 years (AOR = 0.30; 95 % CI: 0.99-1.16), with no education (AOR = 0.30; 95 % CI: 0.11-0.89), poorer wealth quintile (AOR = 0.40; 95 % CI: 0.19-1.04), and longer travel time (AOR = 0.90; 95 % CI: 0.82-0.99) were associated with lower ANC4+ utilization. Married women (AOR = 2.20; 95 % CI: 1.10-4.50) were associated with higher utilization of ANC4+. CONCLUSION: Despite Addis Ababa's relatively high overall ANC4+ coverage, significant differences at the sub-city level exist, with coverage still short of the 95 % global target. Targeted resource allocation and geographically informed policies are required to reduce these disparities.

DOI

10.1016/j.srhc.2025.101156

Type

Journal article

Publication Date

2025-12-01T00:00:00+00:00

Volume

46

Keywords

Addis Ababa, Antenatal care, Ethiopia, Small area estimation, Spatial, Utilization, Humans, Ethiopia, Female, Adult, Cross-Sectional Studies, Prenatal Care, Pregnancy, Young Adult, Healthcare Disparities, Patient Acceptance of Health Care, Adolescent, Bayes Theorem, Health Surveys, Health Services Accessibility, Small-Area Analysis, Socioeconomic Factors, Middle Aged, Urban Population

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