Evidence map›Paper›PMID 42366381›Full record

ArticleArchives of public health = Archives belges de sante publique2026

Multilevel modified Poisson regression analysis of barriers to healthcare access among pregnant women in high and very high maternal mortality sub-Saharan African countries: insights from demographic and health surveys data.

Tesfahun Zemene Tafere, Moges Tadesse Abebe, Amare Molla Zelelew, Gashaw Mekete Adal, Chalie Tadie Tsehay

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Article in Archives of public health = Archives belges de sante publique, 2026. 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 authors.

Tesfahun Zemene TafereDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. tesfahunzemene4@gmail.com.ORCID http://orcid.org/0000-0001-8589-8558
Moges Tadesse AbebeCollege of Health Science, Debark University, Debark, Ethiopia.
Amare Molla ZelelewUniversity of Gondar students' clinic, University of Gondar, Gondar, Ethiopia.
Gashaw Mekete AdalDepartment of Nursing and Child Health, Debre Tabor Health Science College, Debre Tabor, Ethiopia.
Chalie Tadie TsehayDepartment of Health Systems and Policy, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSub-Saharan Africa has the highest maternal death rate worldwide. Access to quality healthcare for pregnant women can significantly reduce the number of maternal deaths. There is limited evidence on barriers to healthcare access, particularly among pregnant women in countries with a high burden of maternal mortality. Therefore, this study intended to examine the magnitude of barriers to healthcare access among pregnant women in high and very high maternal mortality countries in sub-Saharan Africa.

methodsThis study employed a population-based cross-sectional study design. Data was gathered from the latest Demographic and Health Surveys data of the top 15 high and very high maternal mortality sub-Saharan African countries. A total weighted sample of 21,079 pregnant women were participated. A multilevel modified poison regression analysis model was fitted. Adjusted Prevalence Ratio (APR) with a 95% confidence interval and a P-value of less than 0.05 was used to declare statistical significance.

resultsThis study revealed that 65.08% (95% CI: 64.43-65.72) of pregnant women in high and very high maternal mortality sub-Saharan African countries have barriers to healthcare access. In this study, age 15-24 (adjusted prevalence ratio [APR] = 1.12, 95%CI: 1.06-1.18), no education (APR = 1.53, 95%CI: 1.37-1.73), primary education (APR = 1.35, 95%CI: 1.49-1.82), secondary educational (APR = 1.48, 95%CI: 1.36-1.62), poor wealth quantile (APR = 1.76, 95%CI: 1.65-1.88), middle wealth quantile (APR = 1.30, 95%CI: 1.23-1.41), partner's no education (APR = 1.18, 95%CI: 1.06-1.30), partner's primary education (APR = 1.16, 95%CI: 1.04-1.34), unmarried (APR = 1.13, 95%CI: 1.08-1.21), no health insurance (APR = 1.59, 95%CI: 1.24-1.94), not autonomous in household decision making (APR = 2.12, 95%CI: 1.32-2.88), unwanted pregnancy (APR = 1.20, 95%CI: 1.06-1.40), rural resident (APR = 1.25, 95%CI: 1.17-1.33), community level of women's education (APR = 1.31, 95%CI: 1.16-1.51), low poverty status (APR = 1.86, 95%CI:1.20-2.52) were significantly associated with barriers to healthcare access.

conclusionsOur findings concluded that two-thirds of women in high and very high maternal mortality sub-Saharan African countries have barriers to healthcare access. Women's barrier to healthcare access was affected by individual and community-level factors. Our findings recommend that empowering women by enhancing their education and reducing poverty can help mitigate women's barriers to healthcare access. Moreover, healthcare policymakers and stakeholders should improve healthcare infrastructure and the availability of healthcare services in rural areas.

Indexed as

BarrierHealthcare accessMaternal mortalityPoisson regressionPregnant women

Identifiers

PMID42366381
PMCPMC13576273

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