Abstract
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
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
| Original language | English |
|---|---|
| Article number | 101156 |
| Journal | Sexual and Reproductive Healthcare |
| Volume | 46 |
| Number of pages | 8 |
| ISSN | 1877-5756 |
| DOIs | |
| Publication status | Published - Dec-2025 |
Keywords
- Addis Ababa
- Antenatal care
- Ethiopia
- Small area estimation
- Spatial
- Utilization
- Cross-Sectional Studies
- Humans
- Middle Aged
- Urban Population
- Healthcare Disparities/statistics & numerical data
- Socioeconomic Factors
- Pregnancy
- Young Adult
- Health Surveys
- Adolescent
- Bayes Theorem
- Female
- Adult
- Prenatal Care/statistics & numerical data
- Health Services Accessibility/statistics & numerical data
- Patient Acceptance of Health Care/statistics & numerical data
- Small-Area Analysis
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