• Journal of Digital Convergence
• /
• v.16 no.8
• /
• pp.253-261
• /
• 2018

The purpose of this study was to examine the predictive relationships between the predictors and self-esteem among hemodialysis(HD) patients. Predictive correlational design, participants 154 HD patients in the Seoul. SPSS for Window 22.0 used to perform descriptive statistics, Pearson's Correlation Coefficient and Stepwise Regression analysis. The strongest predictor was uncertainty (${\beta}=-.33$, p<.001), economy (${\beta}=.18$, p<.05), occupation (${\beta}=.17$, p<.05) and health status (${\beta}=.16$, p<.05) were followed. A total explained variance was 30.0% of self-esteem (Adjust $R^2=.30$). Managing or preventing uncertainty, providing vocational education in consideration of the dialysis environment, providing employment, increasing economic level, and maintaining good health status are factors that enhance self-esteem. Conducted to investigate the self-esteem of HD patients considering the machine-dependent characteristics, future, provide the data of the study to improve the self-esteem of HD patients. Also, nursing intervention should be developed based on the findings.