ArticleFrontiers in reproductive health2024
Spatial distribution and urban-rural disparity of unmet need for family planning among married/in-union women in Ethiopia: a spatial and decomposition analysis.
Article in Frontiers in reproductive health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- A multivariate decomposition analysis of urban-rural disparities in contraceptive use among women in Ethiopia.Scientific reports · 2026Article
- Understanding Cancer Health Disparities.Cancers · 2026Review
- Article
- Family planning in Jordan: a cross-sectional study on service availability, knowledge and attitudes among women.BMJ public health · 2025Article
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8 authors.
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Abstract
Background: High unmet need for family planning combined with other factors, such as high early marriage and teenage pregnancy, increases the risk of developing obstetric fistula and other complications. This study aimed to assess spatial distribution and urban-rural disparities of unmet need for family planning among married/in-union women in Ethiopia. Methods: The study was conducted on secondary data from a cross-sectional survey that was conducted nationally between September and December 2019 using a two-stage cluster design on a total of 265 enumeration areas. A total weighted sample of 5,349 married/in-union women was included in the analysis. ArcGIS Pro and SaTScan software were used to handle spatial analysis. Finally, multivariable decomposition analysis via a logit model was used to decompose the observed difference in unmet need by the compositional difference and the difference in effects of explanatory variables between places of residence. Results: Spatial distribution of unmet need for family planning was clustered in Ethiopia with a global Moran's I index value of 0.25 ( Conclusion: The results revealed a significant disparity in the unmet need for family planning based on place of residence, with a clustered spatial distribution across the study area and notable hotspot areas. Thus, targeted interventions should focus on mobilizing resources to high-risk areas and addressing the needs of high-risk groups to reduce the observed variation.
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