Published in PLOS One on 2026-04-24, this study is presented as an attributed evidence briefing. The excerpts below are the original researchers’ words, reproduced under their Creative Commons Attribution licence. Health Signal has selected the abstract and, where needed, opening background paragraphs; the complete methods, results, limitations and references remain in the linked paper.
Original authors: 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, Tadele Derbew Kassie
Source: PLOS One • DOI 10.1371/journal.pone.0347837
Read the complete primary study ↗ · Creative Commons Attribution licence
From the researchers
Abstract
Cervical 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.
This study aimed to assess determinants of cervical cancer screening among women aged 30–49 years in low- and middle-income countries: a multilevel analysis.
A 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.
Overall 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).
Cervical 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.
Introduction
Cancer is characterized by the abnormal growth and spread of cells beyond their usual boundaries, allowing them to invade adjacent tissues and other organs. It can affect any part of the body [1,2]. Cervical cancer, specifically, involves abnormal cell proliferation in the lining of the cervix, typically originating at the squamocolumnar junction [3]. A precancerous cervical lesion refers to an abnormality in cervical cells that may potentially progress to cervical cancer. The progression from a precursor lesion to invasive cancer can take up to 20 years [4].
Reading this evidence
Use the full paper to check the study design, participant selection, comparator and outcome definitions before drawing a practical conclusion. An association does not by itself show cause and effect. A reported performance measure needs its denominator and uncertainty. A finding from a particular facility, sample or time period should retain that scope when it is discussed elsewhere.
This briefing makes the source accessible within the wider public health desk. It does not assess an individual patient or certify a product. When considering relevance to another health system, examine the original authors’ account of context and limitations, then seek local implementation evidence. The related reporting below provides other studies to read alongside this one; it is a topic connection, rather than a claim that their results are directly comparable.
© 2026 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, Tadele Derbew Kassie. Excerpts reproduced under CC BY. Selection, formatting and contextual notes by Health Signal. The researchers are the authors of the source study, not members of Health Signal’s staff.
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