Evidence map›Paper›PMID 40597768›Full record

ArticleBMC cancer2025

Individual and community-level determinants of cervical cancer screening among Kenyan women: a multilevel analysis of a Kenya demographic and health surveys 2022.

Beminate Lemma Seifu, Angwach Abrham Asnake, Teshale Belayneh, Tesfahun Hailemariam

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Article in BMC cancer, 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

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4 authors.

Beminate Lemma Seifu *Department of Public Health, College of Medicine and Health Sciences, Samara University, Afar, Ethiopia.
Angwach Abrham AsnakeDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Wolaita Sodo University, Wolaita Sodo, Ethiopia.
Teshale BelaynehDepartment of public health, Hawassa College of Health Sciences, Hawassa, Ethiopia.
Tesfahun Hailemariam *Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. tesfahunhailemariam@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThough studies reported factors determining cervical cancer screening, investigating community-level determinants was limited and not conclusive. This study included both individual- and community-level indicators to investigate factors affecting cervical cancer screening nationwide in Kenyan reproductive-age women.

methodsThe 2022 Kenyan Demography and Health Survey data was used for the study. A total of 16,716 reproductive-age women were included in the analysis. A multilevel analysis using generalized linear mixed models with the log-binomial function was applied to examine the association between individual- and community-level factors with cervical cancer screening. The goodness of a fit model was identified by using deviance, and the model with the lowest deviance was considered as the best-fitted model. Adjusted odds ratio (AOR) with its 95% confidence interval (CI) at p-value < 0.05 was used to declare significantly associated factors with women's cervical cancer screening.

resultsThe pooled prevalence of cervical cancer screening in Kenya was 7.40% (95% CI: 7.02%, 7.78%). Women's age, marital status, educational status, wealth index, employment status, media exposure, parity, contraceptive use, visited health facility last 12 months, self-reported sexually transmitted disease, and geographical zone were significantly associated with cervical cancer screening.

conclusionsPolicies should give emphasis to community-based education, health insurance coverage to overcome the financial burden of the community, create opportunities for women`s employment, strengthen media exposure to educate women, and increase the coverage of contraceptive use. Moreover, infrastructure accessibility and awareness creation on the benefits of facility visits and medical checkups could improve cervical cancer screening in Kenya.

Indexed as

Early Detection of CancerUterine Cervical NeoplasmsAdolescentAdultFemaleHealth SurveysHumansKenyaMiddle AgedMultilevel AnalysisSocioeconomic FactorsYoung AdultCervical cancerCervical cancer screeningKenyaKenya demographic and health surveysMultilevel analysis

Identifiers

PMID40597768
PMCPMC12211491

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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.