Knowledge and Practice of Breast Self Examination for Early Detection of Breast Cancer Among Young Women Attending Maternal Health Clinic at JOOTRH, Kisumu County

Macxine Achieng Oguta,George Ayodo, Felix Humwa,Shehu Shagari Awandu

Research Square (Research Square)(2022)

引用 0|浏览0
暂无评分
摘要
Abstract Background Breast self-examination (BSE) is a simple, low-cost, and non-invasive method that women use to detect breast cancer at early stages. BSE is recommended for teenage and adult women as it helps to detect unusual swelling and lumps. The early intervention reduces the spread of cancer cells and improves health outcomes. This study assessed the knowledge and practices of BSE for early detection of breast cancer among women attending maternal health clinic at Jaramogi Oginga Teaching and Referral Hospital (JOOTRH), Kisumu County in Kenya. Methods A cross-sectional study targeting women of reproductive age seeking maternal health services at the JOOTRH facility was conducted. Systematic sampling was used to select the study participants while purposive sampling was used to select the nurses involved in key informant interviews. Semi-structured questionnaires and recording were used to collect data. Descriptive and logistic regression was conducted for the quantitative data. Qualitative data was transcribed, coded and analyzed thematically. Results The study found that 39% of the participants had the correct knowledge and practice of BSE. An increase in education level was significantly associated with correct knowledge and practice of BSE. Single participants (aOR = 0.6, 95%CI [0.36–0.99]), participants who heard about BSE from media (aOR = 0.51, 95%CI [0.27–0.97]) and friends (aOR = 0.25, 95%CI [0.09–0.69]) were less likely to report correct knowledge and practice of BSE. Conclusion There needs to be concerted effort to raise the knowledge and practice of BSE by the national and county governments, stakeholders and health practitioners for the early detection of breast cancer.
更多
查看译文
关键词
breast self examination,breast cancer
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要