Method of detection of breast cancer in low-income women.
BACKGROUND
Breast cancer is the most common malignancy among women, and its timely diagnosis and treatment are of paramount importance, especially for vulnerable groups, such as low-income and uninsured women. Recent literature confirms that the method of breast cancer detection may be an important prognostic factor, but there are no studies that examine the method of breast cancer detection in low-income populations. We sought to analyze the determinants of method of detection (medical vs. self) in a cohort of low-income women with breast cancer receiving care through California's Breast and Cervical Cancer Treatment Program.


METHODS
This is a cross-sectional survey analysis of 921 low-income women interviewed within 6 months of definitive surgical treatment. The outcome analyzed was self vs. medical detection of breast cancer.


RESULTS
The mean age of the women was 53 years, with nearly 88% reporting an income of <$30,000 per year; 64% of women self-detected their breast cancer. Logistic regression analyses revealed that older women, Latinas, and women having any health insurance before diagnosis had lower odds of self-detecting their lesions.


CONCLUSIONS
Patient age, ethnicity, and regular source of care were associated with method of breast cancer detection in a low-income underserved population. The rate of self-detection in our population correlates with the literature, but we need to improve efforts to increase mammography screening to ensure early detection of disease in this vulnerable group.
Thind
Amardeep
A
Department of Family Medicine, Department of Epidemiology and Biostatistics, Schulich School of Medicine, University of Western Ontario, Canada. athind2@uwo.ca
Diamant
Allison
A
Hoq
Lalima
L
Maly
Rose
R
D000328:Adult; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000517:prevention & control; D016504:Breast Self-Examination / Q000706:statistics & numerical data; D003430:Cross-Sectional Studies; D005260:Female; D015438:Health Behavior; D007722:Health Knowledge, Attitudes, Practice; D006801:Humans; D016015:Logistic Models; D008327:Mammography / Q000706:statistics & numerical data; D008403:Mass Screening / Q000706:statistics & numerical data*; D008875:Middle Aged; D010342:Patient Acceptance of Health Care / Q000706:statistics & numerical data*; D010808:Physical Examination / Q000706:statistics & numerical data; D011203:Poverty / Q000706:statistics & numerical data*