Evidence map›Paper›PMID 41321370›Full record

ArticleBMJ public health2025

What drives inequality in modern family planning use among urban women residents? A cross-sectional analysis using the inequality of opportunity framework in Uganda's secondary cities.

Rornald Muhumuza Kananura, Catherine Birabwa, Ronald Wasswa, Jacquellyn Nambi Ssanyu, Kharim Mwebaza Muluya, Sarah Namutamba, Moses Kyangwa, Felix Kizito, Othman Kakaire, Richard Mugahi and 1 more

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Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

11 authors.

Rornald Muhumuza KananuraDemographic Dynamic and Population Health Unit, African Population and Health Research Center, Dakar, Senegal.ORCID 0000-0002-9915-1989
Catherine BirabwaCenter of excellence for Maternal and Newborn Health, Makerere University School of Public Health, Kampala, Uganda.
Ronald WasswaCenter of excellence for Maternal and Newborn Health, Makerere University School of Public Health, Kampala, Uganda.
Jacquellyn Nambi SsanyuCenter of excellence for Maternal and Newborn Health, Makerere University School of Public Health, Kampala, Uganda.
Kharim Mwebaza MuluyaIganga Municipality Local Government, Iganga, Uganda.
Sarah NamutambaBusoga Health Forum, Jinja, Uganda.
Moses KyangwaBusoga Health Forum, Jinja, Uganda.
Felix KizitoCenter of excellence for Maternal and Newborn Health, Makerere University School of Public Health, Kampala, Uganda.ORCID 0009-0004-6921-9403
Othman KakaireDepartment of Obstetrics and Gynecology, School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Richard MugahiRepublic of Uganda Ministry of Health, Kampala, Kampala, Uganda.
Peter WaiswaCenter of excellence for Maternal and Newborn Health, Makerere University School of Public Health, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Modern family planning (mFP) use is vital for improving women's health and rights. Yet, within urban areas, growing inequalities in service access remain poorly understood. This study applies the inequality of opportunity framework to examine individual and contextual drivers of mFP use in Uganda's emerging secondary cities. Methods: We analysed cross-sectional survey data collected in November-December 2021 from 1023 women aged 15-49 in Iganga Municipality and Jinja City, Central-Eastern Uganda. Multivariable logistic regression was used to examine associations between mFP use and individual-level predictors. The Shapley decomposition method was applied to a weighted logistic regression model to quantify the proportion of inequality attributable to unfair circumstances versus fair differences in effort (sexual activity). Results: mFP prevalence was 45.6% (95% CI 41.8% to 49.4%), with 63% of users relying on long-acting reversible methods. The Shapley analysis findings indicated that 37.8% of the variation in predicted mFP use was explained by observed predictors. Of this, 90% was due to unfair circumstances: age (17%), parity (16%), employment (10%), religion (9.5%), authority (9%), place of residence (9%), wealth position (8%), education (7%) and marital status (5%). mFP use declined with increasing age but rose with parity, with the highest likelihood observed among women aged 20-30 years with three or more children. While mFP use generally increased with wealth and employment, among poor women, those who were employed, lived in non-slum areas or were educated were paradoxically less likely to use mFP. Conclusion: Inequality in mFP use in Uganda's secondary cities stems from structural and demographic disadvantages beyond women's control. Poorer women who were educated, employed or in non-slum areas were still less likely to use mFP, suggesting how pro-poor efforts may miss marginalised subgroups within advantaged categories. Addressing these gaps requires inclusive, intersectional strategies that reflect urban inequality and promote equitable access.

Indexed as

Community HealthEpidemiologic FactorsHealth Services AccessibilityPublic HealthSociodemographic Factors

Identifiers

PMID41321370
PMCPMC12658518

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.