A Prediction Model for the Resilience and the Quality of Life in Cancer Patients with Radiotherapy

ABSTRACT

PURPOSE: This study was conducted to determine the factors which affect the resilience and quality of life for cancer patients with radiotheraphy. METHODS: Collecting data was conducted by self-administered questionnaire that 205 cancer patients with radiation therapy in one university hospital participated from 15th to 31st May 2015. The data analyzed by SPSS v18 and AMOS v18. RESULTS: This research found that the side-effect of treatments, social support, self esteem, depression, uncertainty and resilience are verified to be the variables having not only direct but indirect influence on the quality of life of patients receiving radiotheraphy. The side-effect of treatments was found to have direct influence on the quality of life of patients receiving was, and social support was found to have indirect influence on resilience through uncertainty and self esteem, and resilience was found to have direct influence on the quality of life. for cancer patients. CONCLUSION: It's necessary to come up with the approaches to develop the realistic practice guideline in order to raise the quality of life of patients receiving radiotheraphy, and to lower social support, self esteem, uncertainty in order to have higher resilience.