Aragie Jemaneh, Tadesse2020-11-172023-11-052020-11-172023-11-052020-06http://etd.aau.edu.et/handle/123456789/23337Resilience is defined as the individual's ability to bounce back from trauma. This study aimed to evaluate the level of resilience and its predictors among cancer patients undergoing cancer treatments in Tikur Anbessa Specialized Hospital. Explanatory quantitative study design was conducted with 284 cancer patients who took at least one chemo and/or radiation therapy between August 15 to September 15, 2019. Stratified and simple random sampling methods were used to select the study participants. Respondents were assessed using the Connor-Davidson Resilience Scale (CD-RISC) 10 item version, revised intrinsic/extrinsic religious orientation Scale, the multidimensional scale of perceived social support, selfefficacy for managing chronic diseases 6-item Scale, Herth Hope Index (HHI), Emotional Regulation Questionnaire (ERQ) and demographic and disease-related information. Descriptive statistics, bivariate analyses (independent samples t-test, one way ANOVA and Pearson correlation) and multiple hierarchical regression were conducted to explore predictors for resilience. The mean score on the CD-RISC-10 was 31.84 (SD=5.92). Among the tested variables, the study found that gender, educational level, employment status, treatment cycle, family support, intrinsic religious orientation, external social religious orientation, cognitive reappraisal, and hope had a significant positive relationship with resilience and tumor stage had a negative relationship. Multiple hierarchical regression analysis indicated that hope (β = 0.36, P<0.001), family support (β = 0.26, P<0.001), educational level of above secondary school (β = 0.23, P<0.001), gender (β = 0.21, P<0.001), intrinsic religious orientation (β = 0.18, P<0.001), cognitive reappraisal (β = 0.16, P = 0.001), employment status (β = -0.12, P<0.001), external social religious orientation (β = 0.11, P = 0.026), tumor stage (β = 0.11, P< 0.01) and treatment cycle (β = 0.09, P<0.01) were significant predictors of resilience in the sample and explained 72.9% of the total variance in resilience. Cancer patients in Tikur Anbessa Hospital demonstrated particularly high resilience level. The findings of this study have offered insights into several baseline characteristics that influence resilience. To provide holistic care for cancer patients, it was recommended that the management and services providers in the hospital should integrated demographic, clinical, psychological and social background based interventionsen-UScancer, patients, resilience, hope, religious orientation, self-efficacy, emotional regulation, social support, Tikur Anbessa Specialized HospitalThesis