Insurance Coverage for Breast Cancer Screening and Related Services

2004 ◽  
Author(s):  
BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e039464
Author(s):  
Djibril M Ba ◽  
Paddy Ssentongo ◽  
Edeanya Agbese ◽  
Yanxu Yang ◽  
Ramata Cisse ◽  
...  

ObjectivesBreast cancer is the most prevalent cancer and the second leading cause of cancer-related deaths among women after cervical cancer in much of sub-Saharan Africa. This study aims to examine the prevalence and sociodemographic–socioeconomic factors associated with breast cancer screening among women of reproductive age in sub-Saharan Africa.DesignA weighted population-based cross-sectional study using Demographic and Health Surveys (DHS) data. We used all available data on breast cancer screening from the DHS for four sub-Saharan African countries (Burkina Faso, Ivory Coast, Kenya and Namibia). Breast cancer screening was the outcome of interest for this study. Multivariable Poisson regression was used to identify independent factors associated with breast cancer screening.SettingFour countries participating in the DHS from 2010 to 2014 with data on breast cancer screening.ParticipantsWomen of reproductive age 15–49 years (N=39 646).ResultsThe overall prevalence of breast cancer screening was only 12.9% during the study period, ranging from 5.2% in Ivory Coast to 23.1% in Namibia. Factors associated with breast cancer screening were secondary/higher education with adjusted prevalence ratio (adjusted PR)=2.33 (95% CI: 2.05 to 2.66) compared with no education; older participants, 35–49 years (adjusted PR=1.73, 95% CI : 1.56 to 1.91) compared with younger participants 15–24 years; health insurance coverage (adjusted PR=1.57, 95% CI: 1.47 to 1.68) compared with those with no health insurance and highest socioeconomic status (adjusted PR=1.33, 95% CI : 1.19 to 1.49) compared with lowest socioeconomic status.ConclusionDespite high breast cancer mortality rates in sub-Saharan Africa, the prevalence of breast cancer screening is substantially low and varies gradually across countries and in relation to factors such as education, age, health insurance coverage and household wealth index level. These results highlight the need for increased efforts to improve the uptake of breast cancer screening in sub-Saharan Africa.


2017 ◽  
Vol 26 (3) ◽  
pp. 50-61 ◽  
Author(s):  
Joseph Kangmennaang ◽  
Paul Mkandawire ◽  
Isaac Luginaah

Objectives: Breast cancer contributes substantially to morbidity and mortality in Namibia as is the case in most countries in Sub-Saharan Africa (SSA). However, there is a dearth of nationally representative studies that examine the odds of screening for breast cancer in Namibia and SSA at large. This paper aims to fill this gap by examining the determinants of breast cancer screening guided by the Health Belief Model. Methods: We applied hierarchical binary logit regression models to explore the determinants of breast cancer screening using the 2013 Namibia Demography and Health Survey (NDHS). We accounted for the effect of unobserved heterogeneity that may affect breast cancer, testing behaviours among women cluster level. The NDHS is a nationally representative dataset that has recently started to collect information on cancer screening. Results: The results show that women who have health insurance coverage (odds ratio (OR) = 1.62, p ≤ 0.01), maintain contact with health professionals (OR = 1.47, p = 0.01), and who have secondary (OR = 1.38, p = 0.01) and higher (OR = 1.77, p ≤ 0.01) education were more likely to be screened for breast cancer. Factors that influence women’s perception of their susceptibility to breast cancer such as birthing experience, age, region and place of residence were associated with screening in this context. Conclusions: Overall, the health belief model predicted women’s testing behaviours and also revealed the absence of relevant risk factors in the NDHS data that might influence screening. Overall, our results show that strategies for early diagnosis of breast cancer should be given major priority by cancer control boards as well as ministries of health in SSA. These strategies should centre on early screening and may involve reducing or eliminating barriers to health care, access to relevant health information and encouraging breast self-examination.


2019 ◽  
Vol 25 ◽  
pp. 201-202
Author(s):  
Mary Stevenson ◽  
Robert Sineath ◽  
Michael Goodman ◽  
Vin Tangpricha

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