Explainable machine learning algorithms to identify predictors of intention to use family planning among women of reproductive-age in Ethiopia: Evidence from the Performance Monitoring and Accountability (PMA) 2021 survey data set
This research highlights the sociodemographic, economic and personal factors influencing intention to use FP in Ethiopia. Addressing barriers such as perceived side effects, unmet needs for FP and partner involvement can improve FP uptake. Insights from this study can inform targeted interventions and policies to enhance the health and well-being of women in Ethiopia.
Authors
- Jibril Bashir Adem (ORCID: https://orcid.org/0000-0003-1026-0626)
- Agmasie Damtew Walle (ORCID: https://orcid.org/0000-0001-9583-5876)
- Daniel Niguse Mamo (ORCID: https://orcid.org/0009-0009-3390-101X)
- Shimels Derso Kebede (ORCID: https://orcid.org/0000-0001-5416-616X)
- Ermias Bekele Enyew (ORCID: https://orcid.org/0000-0002-9310-2481)
- Tewodros Desalegn Nebi
- Sudi Jemal Wado
Institutions
- Wollo University (ET)
- Asossa University (ET)
- Arba Minch University (ET)
- Arsi University
- Debre Markos University (ET)
Publication Details
- Journal
- BMJ Public Health
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1136/bmjph-2024-000962
- Primary Topic
- Global Maternal and Child Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00