혈액투석 환자의 사회적 지지, 자기효능감, 자기관리가 삶의 질에 미치는 영향
Influence of Social Support, Self-efficacy, Self-management on Quality of Life of Patients Undergoing Hemodialysis
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Purpose: This study aimed to identify ways to improve the quality of life of patients undergoing hemodialysis by exploringthe relationship between social support, self-efficacy, self-management, and quality of life. Methods: From July 12 toAugust 31, 2024, data were collected from 125 patients who had been receiving hemodialysis treatment for >6 weeksat one tertiary hospital and one clinic in I City. Data were analyzed using descriptive statistics, an independent t-test,one-way analysis of variance, Pearson’s correlation coefficient, and hierarchical multiple regression with the SPSS/WIN30.0 program. Results: Quality of life was positively correlated with social support (r=.51, p<.001), self-efficacy (r=.59,p<.001), and self-management (r=.39, p<.001). Social support (β=.33, p<.001) and self-efficacy (β=.38, p<.001) wereidentified as significant predictors of quality of life in patients undergoing hemodialysis, accounting for 44% of variancein quality of life (F=11.94, p<.001). Conclusion: To improve the quality of life of patients undergoing hemodialysis, theirsocial support and self-efficacy should be improved, and continuous and systematic programs should be implemented.
Abstract
Purpose: This study aimed to identify ways to improve the quality of life of patients undergoing hemodialysis by exploringthe relationship between social support, self-efficacy, self-management, and quality of life. Methods: From July 12 toAugust 31, 2024, data were collected from 125 patients who had been receiving hemodialysis treatment for >6 weeksat one tertiary hospital and one clinic in I City. Data were analyzed using descriptive statistics, an independent t-test,one-way analysis of variance, Pearson’s correlation coefficient, and hierarchical multiple regression with the SPSS/WIN30.0 program. Results: Quality of life was positively correlated with social support (r=.51, p<.001), self-efficacy (r=.59,p<.001), and self-management (r=.39, p<.001). Social support (β=.33, p<.001) and self-efficacy (β=.38, p<.001) wereidentified as significant predictors of quality of life in patients undergoing hemodialysis, accounting for 44% of variancein quality of life (F=11.94, p<.001). Conclusion: To improve the quality of life of patients undergoing hemodialysis, theirsocial support and self-efficacy should be improved, and continuous and systematic programs should be implemented.