Geographic patterns and determinants of family planning satisfaction among women of reproductive age in Ethiopia

• DOI: 10.1186/s40834-025-00356-5
• Publication Date: 2025-03-31T03:10:52Z
• Authors: Natnael Kebede; Rahel Mulatie Ant...; Natnael Moges; Sintayehu Simie T...; Melkamu Aderajew ...; Asaye Alamneh Geb...; Melaku Ashagrie B...; Denekew Tenaw Anley; Ermiyas Alemayehu; Ermias Sisay Chanie; Anteneh Mengist D...

While studies in Ethiopia have explored family planning use and contraceptive determinants, limited research examines the spatial variation predictors of satisfaction with methods. This study addresses this gap using geographically weighted regression (GWR) analysis to assess patterns determinants methods among reproductive-age women. Utilizing nationally representative 2021 Performance Monitoring for Action (PMA-ET) data, aims provide targeted insights improving services. A sample 1,456 women was analyzed. Spatial conducted ArcGIS 10.7 SaTScan 9.6. Hotspot detection, ordinary least squares (OLS) regression, were applied. The Bernoulli model used identify clusters satisfaction. Associations between explanatory variables assessed OLS GWR, statistical significance set at P < 0.05. overall rate current 84.1% (95% CI: 82.12, 85.97). Satisfaction levels exhibited a clustered distribution. High-satisfaction hotspots detected Addis Ababa, most parts Amhara, some areas Benishangul-Gumuz. identified primary cluster (RR = 1.19, 0.001) northern southwestern Ethiopia, eastern Gambela, secondary 1.18, Ababa southern Amhara. GWR revealed that younger (15–24 years), those poor wealth status, urban residents significant exhibits regional variations. Statistically higher Geographically Weighted Regression indicated aged 15–24, local level. These findings suggest need strategies improve Interventions should prioritize high-satisfaction sustain progress while addressing disparities underserved regions. Policymakers focus on enhancing equitable access, strengthening awareness campaigns, mitigating socioeconomic barriers planning.