Factors Determining Prostate Cancer Treatment Decision-Making at St. Charles Health System and Hospital de Clínicas “José de San Martín” Public Deposited

http://ir.library.oregonstate.edu/concern/undergraduate_thesis_or_projects/g445cg26s

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  • Prostate cancer is the second most common cancer in men and the fourth most common cancer overall, causing an estimated 307,000 deaths in 2012. Prostate cancer is distinct from other cancers in that there are numerous treatment options, yet very few guarantees in relation to outcome. The most common treatments for prostate cancer in early stages include radical prostatectomy, brachytherapy, and external beam radiation – all with similar levels of documented efficacy. Healthcare practitioners often provide information regarding treatment options to their patients, but leave treatment decision-making to the patient, resulting in a substantial portion of patients that decline treatment. This investigation aimed to identify the factors that influence patient treatment decision-making by analyzing data from St. Charles Health System and making a cross-cultural comparison with Hospital de Clínicas “José de San Martín.” Factors examined include: marital status, race/ethnicity, religion, payer at diagnosis, stage, and age at diagnosis. From the analysis of data at St. Charles Health System, statistically significant associations were found between payer at diagnosis and age at diagnosis and receiving radiation treatment, while stage and age at diagnosis were associated with not receiving biopsy or surgery treatment. In comparing St. Charles Health System with Hospital de Clínicas “José de San Martín,” similarities were seen in age at diagnosis, while differences in receiving treatment were apparent in regards to marital status. Future studies should focus upon quantifying the relationships between age at diagnosis and marital status and treatment at Hospital de Clínicas “José de San Martín.” Further understanding the factors that influence prostate cancer treatment decision-making could assist healthcare practitioners in providing guidance to patients as they explore treatment options, with an ultimate goal of providing enhanced, more-individualized care.
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