Breast cancer screening among women in Namibia: explaining the effect of health insurance coverage and access to information on screening behaviours. (September 2019)

• Record Type: Journal Article
• Authors: Kangmennaang, Joseph; Mkandawire, Paul; Luginaah, Isaac
• Is Part Of: Global health promotion. Volume 26:Number 3(2019)
• Page Start: 50
• Page End: 61
• Publication Date: 2019-09
• Subjects: clinical breast cancer screening -- health insurance coverage -- access to information -- Namibia -- Sub-Saharan Africa; Health promotion -- Periodicals; Health education -- Periodicals; 613.05
• DOI: 10.1177/1757975917727017
• Languages: English
• ISSNs: 1757-9759

Abstract

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.