Evidence map›Paper›PMID 42030334›Full record

ArticlePloS one2026

Determinants of cervical cancer screening among women aged 30 to 49 years in 20 low- and middle-income countries: A multilevel analysis.

Mequanent Dessie Bitewa, Thomas Kidanemariam Yewodiaw, Aysheshim Asnake Abneh, Mikias Getahun Molla, Mulat Belay Simegn, Tadele Sinishaw Jemere, Mequannt Alemu Endayehu, Aysheshim Belaineh Haimanot, Werkneh Melkie Tilahun, Atirsaw Assefa Melikamu and 1 more

Abstract read
In one paragraph

Article in PloS one, 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mequanent Dessie BitewaDepartment of Public Health, College of Medicine and Health Sciences, Debre Markos University, Debre Markos, Ethiopia.ORCID https://orcid.org/0009-0002-7239-5104
Thomas Kidanemariam YewodiawDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID https://orcid.org/0009-0009-1491-1044
Aysheshim Asnake AbnehDepartment of Public Health, College of Medicine and Health Sciences, Debre Markos University, Debre Markos, Ethiopia.
Mikias Getahun MollaDepartment of Public Health, College of Medicine and Health Science, Injibara University, Injibara, Ethiopia.
Mulat Belay SimegnDepartment of Public Health, College of Medicine and Health Sciences, Debre Markos University, Debre Markos, Ethiopia.
Tadele Sinishaw JemereDepartment of Environmental Health, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia.
Mequannt Alemu EndayehuDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Science, Bahir Dar University, Bahir Dar, Ethiopia.
Aysheshim Belaineh HaimanotDepartment of Public Health, College of Medicine and Health Sciences, Debre Markos University, Debre Markos, Ethiopia.
Werkneh Melkie TilahunDepartment of Public Health, College of Medicine and Health Sciences, Debre Markos University, Debre Markos, Ethiopia.
Atirsaw Assefa MelikamuDepartment of Public Health, College of Medicine and Health Science, Injibara University, Injibara, Ethiopia.
Tadele Derbew KassieDepartment of Public Health, College of Medicine and Health Sciences, Debre Markos University, Debre Markos, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer is preventable, yet it remains a leading cause of cancer death in women. About 90% of cases and 94% of deaths occur in low- and middle-income countries (LMICs). Limited access to screening drives high incidence and mortality. Screening is central to secondary prevention and global elimination efforts.

objectiveThis study aimed to assess determinants of cervical cancer screening among women aged 30-49 years in low- and middle-income countries: a multilevel analysis.

methodsA cross-sectional study used nationally representative data from 148,605 weighted women aged 30-49 years in 20 LMICs (2019-2024). Multilevel logistic regression identified factors associated with cervical cancer screening while accounting for cluster-level variation. Statistical significance was set at p < 0.05, with AORs and 95% CIs reported. Model fit and random effects were assessed using deviance, MOR, ICC, and PCV.

resultOverall cervical cancer screening uptake was 14.03% (95% CI: 13.63-14.45%), ranging from 0.92% in Mauritania to 42.98% in Zambia. Higher screening was associated with older age 40-49 years (AOR = 1.48; 95% CI: 1.41-1.54), occupation (AOR = 1.15; 95% CI: 1.10-1.21), contraceptive use (AOR = 1.38; 95% CI: 1.31-1.44), recent health-facility visit (AOR = 1.93; 95% CI: 1.84-2.02), prior abortion (AOR = 1.28; 95% CI: 1.22-1.34), female-headed households (AOR = 1.11; 95% CI: 1.05-1.18), high community education (AOR = 1.63; 95% CI: 1.49-1.79), and high media exposure (AOR = 2.54; 95% CI: 2.30-2.80). Lower uptake was observed among individuals in high-poverty communities (AOR = 0.63; 95% CI: 0.57-0.68), higher parity (1-4 birth) (AOR = 0.86; 95% CI: 0.78-0.94); (five or more births) (AOR=0.66 95% CI: 59-0.73), and those residing in rural areas (AOR = 0.89; 95% CI: 0.82-0.97).

conclusionCervical cancer screening uptake in LMICs is far below the WHO 2030 target, with wide country disparities. Socio-demographic factors, health-facility contact, and community education increase uptake, while poverty and geographic barriers reduce it. Integrating screening into routine reproductive and maternal care, strengthening community and media education, and addressing structural barriers to access are essential to improving coverage.

Indexed as

Early Detection of CancerMass ScreeningUterine Cervical NeoplasmsAdultCross-Sectional StudiesDeveloping CountriesFemaleHumansMiddle AgedMultilevel Analysis

Identifiers

PMID42030334
PMCPMC13108885

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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.