Abstract: Background: Drug toxicity and chemotherapeutic side effects negatively impact the quality of life of breast cancer patients. Objectives: to evaluate the efficacy of pharmaceutical Interventions (PI) on quality of life (QOL)Among chemotherapy intake breast cancer women. Method: A pre-post interventional study was carried out at the chemotherapy ward of Alhabobi Hospital in Alnasiriyah City. Eligible patients received comprehensive pharmaceutical care and a self-compiled Breast Cancer Patients Medication Knowledge Guide pamphlet. Each patient received two sessions, the first at baseline and the second after 7, 14, or 21 days depending on the next taking dose of chemotherapy. Each session lasted for approximately 15-30 minutes. Participants were asked to complete a QOL Questionnaire(EORTC QLQ-C30) before and after study time. Results: Fifty women with breast cancer were enrolled in the interventional group, and all of these patients ultimately completed the study, at the end of the study, the five functional scales (physical, role, emotional, cognitive, and social), were significantly increased after the intervention by the clinical pharmacist. The three symptom scales (fatigue, nausea/vomiting, and pain) were significantly decreased after the study. In addition, six individual measurement project scores were decreased at the end of the study. However, constipation was the only intervention that had no effect. Conclusion: a clinical pharmacist-led educational intervention may enhance the quality of life of breast cancer patients and play a crucial role in reducing chemotherapy-related complications and adverse effects.
In this paper, estimation of system reliability of the multi-components in stress-strength model R(s,k) is considered, when the stress and strength are independent random variables and follows the Exponentiated Weibull Distribution (EWD) with known first shape parameter θ and, the second shape parameter α is unknown using different estimation methods. Comparisons among the proposed estimators through Monte Carlo simulation technique were made depend on mean squared error (MSE) criteria