|Utilization of breast cancer screening in Kenya: what are the determinants?|
||Roger Antabe, Moses Kansanga, Yujiro Sano, Emmanuel Kyeremeh, and Yvonne Galaa
||BMC Health Services Research, 20: 228; DOI: 10.1186/s12913-020-5073-2
Health care utilization
||Background: Breast cancer accounts for 23% of all cancer cases among women in Kenya. Although breast cancer
screening is important, we know little about the factors associated with women’s breast cancer screening utilization in
Kenya. Using the Andersen’s behavioural model of health care utilization, we aim to address this void in the literature.
Methods: We draw data on the Kenya Demographic and Health Survey and employ univariate, bivariate, and
Results: We find that women’s geographic location, specifically, living in a rural area (OR = 0.89; p < 0.001) and the
North Eastern Province is associated with lower odds of women being screened for breast cancer. Moreover,
compared to the more educated, richer and insured, women who are less educated, poorer, and uninsured (OR = 0.74;
p < 0.001) are less likely to have been screened for breast cancer.
Conclusion: Based on these findings, we recommend place and group-specific education and interventions on
increasing breast cancer screening in Kenya.
Keywords: Breast cancer screening, Andersen’s behavioural model of health care utilization, Demographic and health