"Effectiveness of Community Health Workers in Breast Cancer Prevention in Jumla: a Cluster Randomized Trials

Breast cancer is the second most prevalent cancer among Nepali females, accounting for 17.1% of cases and 7.7% of female cancer-related deaths. It is more common in younger, premenopausal women, often diagnosed at advanced stages. Raising awareness through community education is crucial for promoting breast cancer screening, particularly in low-resource settings like Nepal, where clinical breast exams are essential early detection tools. Integrating breast cancer education into the health system can enhance knowledge, encourage screening, and promote healthy behaviors for prevention. Early detection significantly improves treatment outcomes and survival rates. In remote areas, limited access to advanced detection technologies makes breast self-examination (BSE) the most feasible and cost-effective method, particularly in Jumla. This study evaluates the effectiveness of community health worker-led breast cancer prevention through health promotion and education strategies. It follows PROCTOR's framework and the Health Belief Model (HBM) A mixed-methods design will be employed, incorporating an embedded implementation science approach, a cluster-randomized trial, and mixed-method research. The study population includes married women of Jumla, female community health volunteers (FCHVs), and auxiliary nurse midwives (ANMs). Exclusion criteria include married women ≥20 years old with existing cases of cancer, pregnant or lactating women, FCHVs unable to acquire BSE skills, and untrained ANMs. The sample consists of 90 participants in both intervention and control groups. Acceptability, Appropriateness, and Feasibility will be assessed using the Acceptability of Intervention Measure (AIM) tool. SOP-based checklists will evaluate fidelity, while FGDs and KIIs will collect qualitative data. Quantitative data will be analyzed using frequency, percentage, mean, and standard deviation. A paired t-test and mixed-effect linear regression will assess effectiveness, while qualita