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

TL;DR
This study identifies factors linked to low cervical cancer screening rates among Jordanian women of child-bearing age, highlighting the need for targeted interventions.
Contribution
The study uses Bayesian logistic regression to analyze determinants of cervical cancer screening non-participation in Jordan.
Findings
The prevalence of not being screened for cervical cancer was 83.8% among Jordanian women aged 15–49.
Key determinants included age, education, nationality, wealth, and marital status.
The study suggests community awareness and policy interventions could improve screening rates.
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),…
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Taxonomy
TopicsCervical Cancer and HPV Research · Global Cancer Incidence and Screening · Cancer Risks and Factors
