Authors:
Zainab Bala Kuta, Rejwan Bin Sulaiman
Addresses:
1Department of Computing, Arden University, Middlemarch Park, Coventry, United Kingdom. 2Department of Computer Science and Technology, Arden University, Middlemarch Park, Coventry, United Kingdom. stu62207@ardenuniversity.ac.uk1, rbsulaiman@arden.ac.uk2
Breast cancer remains a leading cause of mortality among women in the United States. Despite advancements in treatment and medical technology, studies have revealed persistent disparities in breast cancer detection, management, and outcomes for ethnic minority groups. This research focuses on African American, Hispanic, and Native American women, who are more likely to be diagnosed with breast cancer and have lower survival rates. These disparities are believed to stem from barriers to accessing quality healthcare and social, economic, and cultural factors. The study utilized the November 2017 version of the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) database, which provides population-based cancer statistics. A dataset comprising 4,024 female patients diagnosed with infiltrating duct and lobular carcinoma breast cancer between 2006 and 2010 was analysed using descriptive and inferential statistics, including correlation and regression analysis, to ensure data validity and reliability. The research investigates the impact of race on female breast cancer patients in the United States. It aims to elucidate the persistent disparities in incidence, treatment, and outcomes of the disease for women of colour. Addressing these issues is crucial to establishing equitable and effective strategies for breast cancer prevention, diagnosis, and treatment.
Keywords: Healthcare Disparities; Race and Breast Cancer; Equitable Prevention; Diagnosis and Treatment; Minority Women; Black and Minority Ethnic (BME); Healthcare and Socioeconomic Status; Insurance Coverage.
Received on: 21/01/2023, Revised on: 05/04/2023, Accepted on: 12/07/2023, Published on: 03/12/2023
FMDB Transactions on Sustainable Health Science Letters, 2023 Vol. 1 No. 3, Pages: 130-143