Male breast cancer (MBC) is rare, and research on the predictors of MBC has been limited because of inadequate funding in and outside of the United States. One goal of this study was to eradicate the stereotyping of breast cancer as a female disease. The emergence of medical technology and education to benefit the public will help to ensure greater health awareness at the individual, community, and global levels. The purpose of this study was to understand the influence of the predictors of age; race (Black, White, and Other); and grade of cancer (I, II, or III) on the outcome of mastectomy in MBC. The study was guided by the social determinants of health model. A quantitative approach was used to analyze archival data from 2011 to 2013 in the Surveillance Epidemiology and End Results (SEER) database using SPSS v.23. Data from 427 MBC patients ages 18 years and older from the United States comprised the sample. The SEER data were analyzed using logistic regression analysis. Results showed that of the 427 cases of MBC that were analyzed, 55 had a diagnosis of Grade I, 190 had a diagnosis of Grade II, and 182 had a diagnosis of Grade III. For 3 years, 116 men had undergone mastectomy. Grade I cancer, Grade II cancer, and Grade III cancer were statistically insignificant predictors of mastectomy; however, age, race was a statistically significant predictor of mastectomy among White men with MBC. The results will contribute to social change initiatives by educating the public about the predictors of mastectomy in MBC patients. The results also will increase the current knowledge base by informing the public, clinical professionals, and patients about the relationship of the predictors of age; race; and grade of cancer (I, II, or III) on the outcome of mastectomy in MBC.
| Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-5059 |
| Date | 01 January 2017 |
| Creators | Opara, Esther |
| Publisher | ScholarWorks |
| Source Sets | Walden University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Walden Dissertations and Doctoral Studies |
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