Spatial distribution and determinants of unmet need for family planning among all reproductive‑age women in Uganda: a multi‑level logistic regression modeling approach and spatial analysis

Unmet need for family planning is defined as the percentage of sexually active and fecund women who want to delay the next birth (birth spacing) or who want to stop childbirth (birth limiting) beyond two years but who are not using any modern or traditional method of contraception. Despite the provi...

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Bibliographic Details
Published in:Contraception and reproductive medicine 2024-02, Vol.9 (1), p.4-4, Article 4
Main Authors: Belay, Alemayehu Sayih, Sarma, Haribondhu, Yilak, Gizachew
Format: Article
Language:English
Subjects:
Abortion
Age
Birth control
Censuses
Collaboration
Data processing
Families & family life
Family planning
Fertility
Global positioning systems
GPS
Households
Maternal mortality
Multi-level logistic analysis
Population
Pregnancy
Regression analysis
Reproductive health
Sexual health
Socioeconomics
Spatial Analysis
Spatial distribution
Uganda
Unmet need
Women
Womens health
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Summary:Unmet need for family planning is defined as the percentage of sexually active and fecund women who want to delay the next birth (birth spacing) or who want to stop childbirth (birth limiting) beyond two years but who are not using any modern or traditional method of contraception. Despite the provision of family planning services, the unmet need of family planning remains a challenge in low- and middle-income countries (LMICs). Thus, this study aimed to assess the spatial distribution and determinant factors of unmet need for family planning among all reproductive‑age women in Uganda. A secondary data analysis was done based on 2016 Ugandan Demographic and Health Surveys (UDHS). Total weighted samples of 18,506 women were included. Data processing and analysis were performed using SPSS Version 26, STATA 14.2, ArcGIS 10.8, and SaTScan 10.1.2 software. Spatial autocorrelation and hotspot analysis was made using Global Moran's index (Moran's I) and Gettis-OrdGi*statistics, respectively. Determinants of unmet needs for family planning were identified by multi-level logistic regression analysis. Variables with a p-value 
ISSN:2055-7426
2055-7426
DOI:10.1186/s40834-024-00264-0