Evidence map›Paper›PMID 38326780›Full record

ArticleBMC pregnancy and childbirth2024

Exploring the association between unintended pregnancies and unmet contraceptive needs among Ugandan women of reproductive age: an analysis of the 2016 Uganda demographic and health survey.

Daniel Asrat, Andrew Copas, Adesina Olubukola

Abstract read
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Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Daniel AsratUniversity College of London, London, UK. danitkku21@gmail.com.
Andrew CopasInstitute for Global Health, Faculty of Pop Health Sciences, University College of London, London, UK.
Adesina OlubukolaDepartment of Obstetrics & Gynaecology College of Medicine and Pan African University Institute for Life and Earth Sciences Including Health and Agriculture (PAULESI), University of Ibadan, Oyo, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnintended pregnancy and unmet contraceptive needs pose significant public health challenges, particularly in developing nations, where they contribute to maternal health risks. While previous research has explored determinants of unintended pregnancies, there remains a gap in understanding the association between unplanned pregnancies and unmet contraceptive needs among Ugandan women of reproductive age. This study aimed to assess unmet contraceptive needs and their correlation with unintended pregnancies and other factors in Uganda, utilizing a nationally representative sample.

methodsData was extracted from the 2016 Uganda Demographic Health Survey (UDHS), a cross-sectional survey conducted in the latter half of 2016. The study encompassed 18,506 women aged 15-49 with a history of at least one prior pregnancy. The primary outcome variable was the planning status of the most recent pregnancy, while the principal independent variable was unmet contraceptive need. Additional variables were controlled in the analysis. Data analysis was performed using STATA version 17, involving descriptive analysis, cross-tabulation, chi-square testing, and logistic regression. Statistical significance was set at p < 0.05.

resultsA substantial proportion of women reported unintended pregnancies (44.5%), with approximately 21.09% experiencing an unmet need for contraception. In the adjusted model, women with unmet contraceptive needs had 3.97 times higher odds of unintended pregnancy (95% CI = 3.61-4.37) compared to those with met contraceptive needs. Significant factors linked to unintended pregnancies included women's age, place of residence, household wealth status, decision-making authority regarding contraceptive use, educational attainment, husband's occupation, and educational level.

conclusionThis study revealed that both the rate of unintended pregnancies and unmet contraceptive needs in Uganda exceeded the global average, warranting urgent policy attention. Addressing unmet contraceptive needs emerges as a potential strategy to curtail unintended pregnancies. Further qualitative research may be necessary to elucidate the sociocultural and behavioral determinants of unwanted pregnancies, facilitating context-specific interventions.

Indexed as

Contraceptive AgentsPregnancy, UnplannedContraceptionContraception BehaviorCross-Sectional StudiesDemographyFamily Planning ServicesFemaleHumansPregnancyUgandaContraceptive AgentsReproductive healthUgandaUnintended/Unwanted/Unplanned pregnancyUnmet need for contraception

Identifiers

PMID38326780
PMCPMC10851597

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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.