Evidence map›Paper›PMID 39334465›Full record

ArticleContraception and reproductive medicine2024

Modern contraceptive utilization among women of reproductive age in Ghana: a multilevel mixed-effect logistic regression model.

Begetayinoral Kussia Lahole, Debora Banga, Kusse Urmale Mare

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Article in Contraception and reproductive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

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8citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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8 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.

Begetayinoral Kussia LaholeDepartment of Midwifery, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia. begetakussia92@gmail.com.
Debora BangaSchool of Nursing, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia.
Kusse Urmale MareDepartment of Nursing, College of Medicine and Health Sciences, Samara University, Samara, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorldwide, sexual and reproductive health remains a prominent public health concern for women of reproductive age. Modern contraceptive methods play a crucial role in enabling individuals and families to regulate fertility, thereby reducing unintended pregnancies, abortions, pregnancy-related complications, and mortality. Due to the scarcity of reliable and current data regarding the factors affecting the adoption of modern contraceptives among women of reproductive age at the national level in Ghana, this research aimed to explore the determinants of modern contraceptive usage among reproductive age women.

methodsThe study analyzed data from the 2022 Ghana Demographic and Health Survey, including a weighted sample of 6,839 reproductive-age women. By employing a multilevel logistic regression model, the study sought to determine factors associated with the utilization of modern contraceptives. Associations between explanatory variables and the outcome were evaluated using adjusted odds ratios (AORs) along with 95% confidence intervals (CIs). Statistical significance was established using a p-value threshold of less than 0.05. All statistical analyses were conducted using STATA version 17 software.

resultsThe study found that 26.36% (95% CI: 25.33-27.34%) of women of reproductive age in Ghana used modern contraceptives. Secondary education (AOR = 1.26, 95% CI = 1.03-1.53), poorer household (AOR = 1.30, 95% CI = 1.05-1.61), women's marital status, i.e. married (AOR = 1.46, 95% CI = 1.16-1.83), living with a partner (AOR = 1.65, 95% CI = 1.32-2.06), divorced (AOR = 2.53, 95% CI = 1.48-4.31), and separated (AOR = 1.70, 95% CI = 1.21-2.37), multipara (AOR = 1.39, 95% CI = 1.04-1.87), were the factors that promote modern contraceptive utilization. Women's age in years, i.e. 35-39 (AOR = 0.71, 95% CI = 0.52-0.97), 40-44 (AOR = 0.63, 95% CI = 0.44-0.90), and 45-49 (AOR = 0.45, 95% CI = 0.25-0.79), history of pregnancy loss (AOR = 0.86, 95% CI = 0.76-0.98), region, i.e. Greater Accra (95% CI = 0.42-0.92), Bono East (95% CI = 0.32-0.81), Northern (95% CI = 0.28-0.67), Savannah (95% CI = 0.28-0.81), and North East (95% CI = 0.20-0.63), were all associated with a lower use of modern contraceptives.

conclusionsModern contraceptive utilization was low in this study. Factors such as women's education, socioeconomic status, and marital status were associated with increased modern contraceptive utilization, whereas women's age and regional disparities were linked to lower usage rates. These findings emphasize the need for targeted interventions to address socioeconomic barriers and regional disparities in access to family planning services across Ghana.

Indexed as

Contraceptive utilizationGhanaMultilevel analysisReproductive age

Identifiers

PMID39334465
PMCPMC11438017

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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.