Purpose
The purpose of this study was to investigate the level of resilience in multiple myeloma patients and to identify the impact of symptom experience, cancer coping, and social support on resilience. Methods: Data were collected from January 2022 to May 2022 using self-report structured questionnaires administered to 162 outpatients who were undergoing chemotherapy or follow-up care after multiple myeloma treatment. The measured variables included symptom experience, cancer coping, social support, and resilience. The collected data were analyzed using SPSS/WIN 25 for descriptive statistics, the independent t-test, one-way analysis of variance, the Scheffé test, Pearson correlation coefficients, and hierarchical regression analysis. Results: The mean resilience score of the participants was 66 out of 100 points. The levels of resilience were significantly higher in patients who had a job, recognized the importance of religion, and had a good economic status. Significantly higher levels of resilience were also observed in patients with lower physical performance status, fewer symptom experiences, more positive cancer coping, and higher support from healthcare staff. Conclusion: Monitoring the symptom experience and physical performance ability of patients with multiple myeloma is important for enhancing their resilience. Positive coping strategies need to be developed and additional support from nurses should be provided to strengthen the personal resilience of patients with multiple myeloma.

PURPOSE
This study aimed to identify the factors affecting the quality of life of patients with radical prostatectomy.
METHODS
Participants included 114 patients with radical prostatectomy in Pusan National University Hospital in Busan, Korea. Data were collected from May to July 2018, using a structured questionnaire measuring quality of life, erectile dysfunction, lower urinary tract symptoms, appraisal of uncertainty, resilience, educational needs for sexual health, and marital intimacy. Data were analyzed using descriptive statistics, an independent t-test, a one-way analysis of variance, and hierarchical multiple regression.
RESULTS
The statistically significant regression model explained about 77% of the variance in quality of life. Appraisal of uncertainty as an opportunity, appraisal of uncertainty as a danger, and resilience were identified as factors influencing the participants' quality of life.
CONCLUSION
In order to improve the quality of life of patients with radical prostatectomy, it is necessary to reduce uncertainty through providing practical information on uncertain situations, and the programs should be applied that can lower the danger aspect of uncertainty, increase the opportunity factor of uncertainty, and increase the resilience of the patient himself.

Citations

• A Structural Equation Modeling of Sexual Adjustment in Radical Prostatectomy Patients
  Min Kweon Ahn, Hyun Kyung Kim
  Korean Journal of Adult Nursing.2021; 33(5): 532.     CrossRef