Mechanisms And Treatment Challenges In Breast Cancer Development And Metastasis
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Abstract
Methods: The study was a cross-sectional quantitative study, and self-complete anonymous structured questionnaires were given to HCPRs, researchers, and breast cancer patients. Some questions may concern genetic and hormonal mechanisms, available pharmacotherapy, and challenges related to them; and new pharmacotherapy options. Descriptive data were also calculated using the Shapiro-Wilk test for normality, internal consistency by Cronbach’s Alpha, and Chi-square test of independence and t-test group comparison test (Trapani, Ginsburg et al. 2022).
Results: Understanding Level, Treatment Effectiveness and Quality of Life Impact were found not to be normally distributed (p < 0.05). Cronbach’s Alpha was low because a low variability indicated low reliability, or if certain items were missing. Chi-square tests were non-significant for Gender and Personal/Family History (Chi-square = 0.78) and Education Level and Biggest Challenge (Chi-square = 0.65). To perform an F-test for the gender differences in the understanding levels, data could not be complete and therefore was not done (Malik, Ahmed et al. 2022).
Conclusions: The findings point to potential deficiencies in data accuracy and survey credibility and inform future research settings and data collection. Consequently, there was no reveal of strong correlations and the analysis should employ methodological progress to provide efficient recommendations for the characteristics and treatment of breast cancer. More research should take into consideration these shortcomings to expand the status and advance knowledge of backed interventions (Mehrotra and Yadav 2022).