Evidence map›Paper›PMID 40724067›Full record

ArticleInternational journal of environmental research and public health2025

A Bayesian Logistic Regression Approach to Investigating the Determinants Associated with Never Having Been Screened for Cervical Cancer Amongst Child-Bearing-Age Women in Jordan.

Sizwe Vincent Mbona, Anisha Ananth, Retius Chifurira

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

3 authors.

Sizwe Vincent MbonaDepartment of Statistics, Faculty of Applied Sciences, Durban University of Technology, Durban 4001, South Africa.ORCID 0000-0002-8077-3833
Anisha AnanthDepartment of Statistics, Faculty of Applied Sciences, Durban University of Technology, Durban 4001, South Africa.ORCID 0000-0002-8295-0733
Retius ChifuriraSchool of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Durban 4001, South Africa.ORCID 0000-0001-7889-3417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer continues to be a major global public health problem, with 661,021 estimated new cases and 348,189 deaths reported in 2022. Approximately 53% of women in Jordan reported not being screened for CC in recent years. This study aimed to investigate the determinants associated with not being screened for CC amongst Jordanian women of child-bearing age. This was a cross-sectional study derived from the 2023 Jordanian Demographic Health Survey (JDHS) with 12,580 women aged 15-49 years. The study employed a non-informative Bayesian binary logistic regression approach to identify the factors that are associated with not being screened for CC. Results showed that the prevalence of not being screened for CC was 83.8% (95% CI: 83.3-84.3). The determinants identified in this study were women's age group (OR = 0.46; 95% CI: 0.34-0.62), education level (OR = 0.56; 95% CI: 0.34-0.91), smoking status (OR = 0.75; 95% CI: 0.63-0.91), women's nationality (OR = 4.30; 95% CI: 1.03-27.74), breastfeeding status (OR = 1.64; 95% CI: 1.31-2.07), wealth index (OR = 0.61; 95% CI: 0.53-0.71), self-reported health status (OR = 0.74; 95% CI: 0.64-0.87), marital status (OR = 1.45; 95% CI: 1.08-1.96), and HIV testing status (OR = 0.55; 95% CI: 0.40-0.75). The prevalence of not being screened for CC amongst Jordanian women of child-bearing age was found to be very high: a red flag for attention. There is a need for interventions such as community awareness campaigns and education programmes focusing on women younger than 25 years, especially women living in rural and underserved areas. Additionally, incorporating policy interventions into public health facilities and having easy accessibility to tools or screening tests may improve rates of CC screening, and thus reduce the prevalence of CC.

Indexed as

Early Detection of CancerUterine Cervical NeoplasmsAdolescentAdultBayes TheoremCross-Sectional StudiesFemaleHumansJordanLogistic ModelsMiddle AgedYoung AdultBayesian modellingcervical cancerJordannon-informative priorspublic healthscreening

Identifiers

PMID40724067
PMCPMC12295522

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.