Analysis of Data Report

Individual Analysis of Research Report
Danna Wood
HCS/438 Statistical Applications
October 31, 2011
Reagan Parks

Individual Analysis of Research Report

In 2011 approximately 280,000 women will be diagnosed with breast cancer and nearly 40,000 of these women will die from the disease. Breast cancer is the second leading cause of death, in relation to cancer, among women (American Cancer Society, 2011).   Women of higher socioeconomic status (SES) are more likely to be diagnosed with breast cancer, yet women of lower socioeconomic status are more likely to die from their breast cancer diagnosis. A major factor in the difference of disease prognosis between women of lower SES and women of higher SES is the availability of healthcare and lack of insurance.
Karliner (2007), “when US women who are living in poverty do develop breast cancer, they are more likely to be diagnosed at an advanced stage, are less likely to be treated with breast-conserving surgery and radiation when they have early-stage disease, and are less likely to survive their disease than more affluent women” (Ethnic Disparities in Breast Cancer: Socioeconomic Status).

Due to the prevalence of breast cancer and the cost of healthcare among women in lower SES populations I will be analyzing a study which appeared in Journal of Women’s Health titled “Prevalence, Healthcare Utilization, and Costs of Breast Cancer in a State Medicaid Fee-for-Service Program”. The study was aimed at determining occurrence rate, medical intervention and the costs associated when Medicaid patients are diagnosed with breast cancer.   A group of breast cancer patients enrolled in the West Virginia Medicaid Fee-for-Service (FFS) program was matched 1:1 with a control group of women enrolled in the same program but without breast cancer.
Statistical procedures used in this study consisted of Chi-Square test, Kruskal-Wallis test and Wilcoxon Match-Pairs Signed Ranks test. The Chi-square test was used to...