Djibril M Ba1, Paddy Ssentongo2, Jonah Musa3, Edeanya Agbese2, Brehima Diakite4, Cheick Bougadari Traore4, Steve Wang5, Mamoudou Maiga6. 1. Penn State College of Medicine, Department of Public Health Sciences, Hershey, PA, United States. Electronic address: djibrilba@phs.psu.edu. 2. Penn State College of Medicine, Department of Public Health Sciences, Hershey, PA, United States. 3. Department of Obstetrics and Gynecology, College of Health Sciences, University of Jos, Nigeria; Department of Preventive Medicine, Division of Cancer Epidemiology and Prevention, Northwestern University, IL 60611, USA. 4. University of Sciences, Techniques, and Technologies of Bamako (USTTB), Faculty of Medicine and Odontostomatology, Bamako, Mali. 5. Mobile Imaging Innovations, Inc., Evanston, IL, United States. 6. University of Sciences, Techniques, and Technologies of Bamako (USTTB), Faculty of Medicine and Odontostomatology, Bamako, Mali; Northwestern University, Department of Biomedical Engineering, Evanston, IL, United States; Department of Preventive Medicine, Division of Cancer Epidemiology and Prevention, Northwestern University, IL 60611, USA.
Abstract
BACKGROUND: Cervical cancer is the fourth most common cancer among women worldwide, with an estimate of 570,000 new cases and about 311,000 deaths annually. Low-resource countries, including those in sub-Saharan Africa, have the highest-burden with an estimate of 84 % of all cervical cancers. This study examines the prevalence and socio-demographic-economic factors associated with cervical cancer screening in sub-Saharan Africa. METHODS: A weighted population-based cross-sectional study using Demographic and Health Surveys data. We used available data on cervical cancer screening between 2011 and 2018 from the Demographic and Health Surveys for five sub-Saharan African countries (Benin, Ivory Coast, Kenya, Namibia, and Zimbabwe). The study population included women of childbearing age, 21-49 years (n = 28,976). We fit a multivariable Poisson regression model to identify independent factors associated with cervical cancer screening. RESULTS: The overall weighted prevalence of cervical cancer screening was 19.0 % (95 % CI: 18.5 %-19.5 %) ranging from 0.7 % in Benin to 45.9 % in Namibia. Independent determinants of cervical cancer screening were: older age (40-49 years) adjusted prevalence ratio (aPR) = 1.77 (95 % CI: 1.64, 1.90) compared with younger age (21-29 years), secondary/higher education (aPR = 1.51, 95 CI: 1.28-1.79) compared with no education, health insurance (aPR = 1.53, 95 % CI: 1.44-1.61) compared with no insurance, and highest socioeconomic status (aPR = 1.39, 95 % CI: 1.26-1.52) compared with lowest. CONCLUSION: The prevalence of cervical cancer screening is substantially low in sub-Saharan Africa countries and shows a high degree of between-country variation. Interventions aimed at increasing the uptake of cervical cancer screening in sub-Saharan Africa are critically needed.
BACKGROUND: Cervical cancer is the fourth most common cancer among women worldwide, with an estimate of 570,000 new cases and about 311,000 deaths annually. Low-resource countries, including those in sub-Saharan Africa, have the highest-burden with an estimate of 84 % of all cervical cancers. This study examines the prevalence and socio-demographic-economic factors associated with cervical cancer screening in sub-Saharan Africa. METHODS: A weighted population-based cross-sectional study using Demographic and Health Surveys data. We used available data on cervical cancer screening between 2011 and 2018 from the Demographic and Health Surveys for five sub-Saharan African countries (Benin, Ivory Coast, Kenya, Namibia, and Zimbabwe). The study population included women of childbearing age, 21-49 years (n = 28,976). We fit a multivariable Poisson regression model to identify independent factors associated with cervical cancer screening. RESULTS: The overall weighted prevalence of cervical cancer screening was 19.0 % (95 % CI: 18.5 %-19.5 %) ranging from 0.7 % in Benin to 45.9 % in Namibia. Independent determinants of cervical cancer screening were: older age (40-49 years) adjusted prevalence ratio (aPR) = 1.77 (95 % CI: 1.64, 1.90) compared with younger age (21-29 years), secondary/higher education (aPR = 1.51, 95 CI: 1.28-1.79) compared with no education, health insurance (aPR = 1.53, 95 % CI: 1.44-1.61) compared with no insurance, and highest socioeconomic status (aPR = 1.39, 95 % CI: 1.26-1.52) compared with lowest. CONCLUSION: The prevalence of cervical cancer screening is substantially low in sub-Saharan Africa countries and shows a high degree of between-country variation. Interventions aimed at increasing the uptake of cervical cancer screening in sub-Saharan Africa are critically needed.
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