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The Prevalence and Predictors of Clinical Breast Cancer Screening in Sub-saharan African Countries: A Multilevel Analysis of Demographic Health Survey

aut.relation.articlenumber1409054
aut.relation.journalFrontiers in Public Health
aut.relation.startpage1409054
aut.relation.volume12
dc.contributor.authorHailegebireal, AH
dc.contributor.authorBizuayehu, HM
dc.contributor.authorWolde, BB
dc.contributor.authorTirore, LL
dc.contributor.authorWoldegeorgis, BZ
dc.contributor.authorKassie, GA
dc.contributor.authorAsgedom, YS
dc.date.accessioned2025-12-03T04:14:07Z
dc.date.available2025-12-03T04:14:07Z
dc.date.issued2024-09-13
dc.description.abstractBackground: Despite a higher rate of breast cancer in sub-Saharan Africa (SSA), efforts to treat the disease through breast cancer screening are suboptimal, resulting in late diagnosis of breast cancer and poor outcomes. Several studies have been conducted in SSA countries about screening uptake, yet they addressed country or sub-country level data and did not consider both individual and beyond-individual factors related to screening. Hence, pooled prevalence as well as multilevel correlates of screening in the region is sparse, which have been addressed by this study using the most recent data among women with SSA. Methods: This study was conducted using the Demographic Health Survey data (2013–2022) from six countries, and a total weighted sample of 95,248 women was examined. STATA version 16 was used for the data analysis. Multilevel mixed-effects logistic regression was performed and significant predictors were reported using adjusted odds ratios (aOR) with 95% confidence intervals (95% CI). Results: The overall weighted prevalence of clinical breast cancer screening was 14.23% (95% CI: 13.97–14.75), with Namibia and Tanzania having the highest (24.5%) and lowest (5.19%) screening rates, respectively. Higher breast cancer screening uptake was observed among women of advanced age (35–49) [aOR = 1.78; 95% CI: 1.60, 1.98], had higher educational levels [aOR = 1.84; 95% CI: 1.66, 2.03], cohabited [aOR = 1.37; 95% CI: 1.21, 1.55], in the richest wealth quintile [aOR = 2.27; 95% CI: 1.95, 2.64], urban residents [aOR = 1.21; 95%CI: 1.10, 1.33], multiparous [aOR = 1.47; 95% CI: 1.30, 1.68], visited health facilities [aOR = 1.64; 95% CI: 1.52, 1.76], and read newspapers [aOR = 1.78; 95%CI: 1.60, 2.15]. Conclusion: The prevalence of clinical breast cancer screening was low (14%). Strengthening awareness campaigns, improving healthcare infrastructure, health education, universal health coverage, and screening program access, with a focus on rural areas, women who lack formal education, and low socioeconomic status, are critical to increasing breast cancer screening rates and equity. Scale-up local and regional collaborations and the involvement of media agencies in the implementation of screening programs, advocacy, dissemination of information, and integration of screening programs with their routine care, such as perinatal care, can boost the screening. The existing health service delivery points also need to focus on integrating breast cancer screening services with routine care such as perinatal care.
dc.identifier.citationFrontiers in Public Health, ISSN: 2296-2565 (Print); 2296-2565 (Online), Frontiers Media SA, 12, 1409054-. doi: 10.3389/fpubh.2024.1409054
dc.identifier.doi10.3389/fpubh.2024.1409054
dc.identifier.issn2296-2565
dc.identifier.issn2296-2565
dc.identifier.urihttp://hdl.handle.net/10292/20258
dc.languageeng
dc.publisherFrontiers Media SA
dc.relation.urihttps://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2024.1409054/full
dc.rights© 2024 Hailegebireal, Bizuayehu, Wolde, Tirore, Woldegeorgis, Kassie and Asgedom. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
dc.rights.accessrightsOpenAccess
dc.subjectSub-Saharan Africa
dc.subjectbreast cancer
dc.subjectdeterminants
dc.subjectmultilevel
dc.subjectscreening
dc.subject4203 Health Services and Systems
dc.subject4206 Public Health
dc.subject42 Health Sciences
dc.subjectBreast Cancer
dc.subjectHealth Services
dc.subjectBehavioral and Social Science
dc.subjectCancer
dc.subjectPrevention
dc.subjectClinical Research
dc.subjectWomen's Health
dc.subject4.4 Population screening
dc.subjectCancer
dc.subject3 Good Health and Well Being
dc.subject4 Quality Education
dc.subject1117 Public Health and Health Services
dc.subject4203 Health services and systems
dc.subject4206 Public health
dc.subject.meshHumans
dc.subject.meshBreast Neoplasms
dc.subject.meshFemale
dc.subject.meshMiddle Aged
dc.subject.meshEarly Detection of Cancer
dc.subject.meshAdult
dc.subject.meshAfrica South of the Sahara
dc.subject.meshPrevalence
dc.subject.meshMultilevel Analysis
dc.subject.meshHealth Surveys
dc.subject.meshAged
dc.subject.meshMass Screening
dc.subject.meshYoung Adult
dc.subject.meshSocioeconomic Factors
dc.subject.meshAdolescent
dc.subject.meshHumans
dc.subject.meshBreast Neoplasms
dc.subject.meshMass Screening
dc.subject.meshHealth Surveys
dc.subject.meshPrevalence
dc.subject.meshSocioeconomic Factors
dc.subject.meshAdolescent
dc.subject.meshAdult
dc.subject.meshAged
dc.subject.meshMiddle Aged
dc.subject.meshAfrica South of the Sahara
dc.subject.meshFemale
dc.subject.meshEarly Detection of Cancer
dc.subject.meshMultilevel Analysis
dc.subject.meshYoung Adult
dc.subject.meshHumans
dc.subject.meshBreast Neoplasms
dc.subject.meshFemale
dc.subject.meshMiddle Aged
dc.subject.meshEarly Detection of Cancer
dc.subject.meshAdult
dc.subject.meshAfrica South of the Sahara
dc.subject.meshPrevalence
dc.subject.meshMultilevel Analysis
dc.subject.meshHealth Surveys
dc.subject.meshAged
dc.subject.meshMass Screening
dc.subject.meshYoung Adult
dc.subject.meshSocioeconomic Factors
dc.subject.meshAdolescent
dc.titleThe Prevalence and Predictors of Clinical Breast Cancer Screening in Sub-saharan African Countries: A Multilevel Analysis of Demographic Health Survey
dc.typeJournal Article
pubs.elements-id629573

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