Breast cancer remains the most common cancer among women globally, making early detection and screening programs a primary target for public health policies. However, insufficient awareness and high levels of cancer fatalism can negatively impact women's participation in early diagnosis behaviors such as breast self-examination and mammography. Additionally, self-compassion is an emerging concept in women's health associated with better psychological resilience, stress management, and adherence to health behaviors. While digital technologies have transformed health education through hybrid models, there is a limited number of randomized controlled trials examining the combined effects of hybrid education approaches on awareness, fatalism, and self-compassion in community-based female populations. This study is designed to address this gap in the literature. The sample size was determined using a priori power analysis via G\*Power software (MANOVA: Repeated measures, within-between interaction), calculating a minimum of 128 participants based on an effect size of f(V)=0.25, α=0.05, and test power of 0.80. Statistical analysis will be conducted using SPSS software. Following normality checks via Kolmogorov-Smirnov tests and the evaluation of skewness and kurtosis coefficients, group comparisons will be performed using appropriate parametric (e.g., Independent Samples t-test) or non-parametric (e.g., Mann-Whitney U, Wilcoxon signed-rank test) statistical methods. A p-value of \<0.05 will be considered statistically significant.
