Heliyon (Jun 2024)
Knowledge, attitude and practices around breast cancer and screening services among women of reproductive age in Turbo sub-county, Kenya
Abstract
Background: Only 12% of Kenyan women use breast cancer (BC) screening programs. Early detection is critical for reducing the condition's associated morbidity and mortality. Unfortunately, few studies have been conducted on the screening program's implementation and the causes for the low usage rates in Turbo Sub-County, Kenya. The purpose of this study was to learn about women of reproductive age's (WRA) practices, attitudes, and knowledge regarding BC screening programs, as well as to investigate the potential association between lifestyle factors and BC screening service utilization. Methods: Mixed-method approaches were used in an analytical cross-sectional study design. The study included 317 participants selected randomly. An interviewer-administered questionnaire was used to collect quantitative data while focus group discussion (FGD) and key informant interview (KII) guides were used for collecting qualitative data. The Statistical Package for Social Sciences (SPSS) version 26 was used to manage quantitative data, whereas NVivo version 12 was used to analyze qualitative data. Chi-square, Fisher's exact test, and multiple logistic regression were used to assess the degree of relationship between BC screening service uptake and independent variables. The qualitative data was transcribed verbatim, and the transcripts were automatically coded to generate themes. Results: The participants' mean age was 30.14 (9.64). Breast cancer screening services were used by 10.21% of the population. Women who were aware of the signs and symptoms of BC were 71.5 times more likely to undergo screening than their counterparts. Similarly, those with positive attitudes toward BC and screening programs were 84 times more likely to get screened than those with negative attitudes. Breastfeeding increased the likelihood of BC screening by OR = 37 (95% CI: 0.00–0.32), physical activity by OR = 37 (95% CI: 0.00–0.25), and chronic illnesses by OR = 37 (95% CI: 0.00–0.17). Conclusion: Knowledge of signs and symptoms of BC and a positive attitude towards perceived barriers enhanced the probabilities of BC screening. Being physically active, breastfeeding, and having a chronic disease all increased the odds of BC screening uptake. To improve screening rates, it is necessary to provide sufficient information to those who are least likely to be screened.
