RAISING SELF EFFICIENCY LEVELS OF DYALISED PATIENTS – A VICARIOUS EXPERIENCE LEARNING PROGRAM
RAISING SELF EFFICIENCY LEVELS OF DYALISED PATIENTS – A VICARIOUS EXPERIENCE LEARNING PROGRAM

Summary/Abstract: Quality of life of dialyzed patients, their psychological resources and coping mechanisms were in the center of the research interest over time and have become lately open to the support offered by the technological innovation. Our study aims to determine the significant influence relation between self-efficacy, depression and anxiety measured in a mixt group of patients (N=72) undergoing dialysis. Based on these findings we propose a set of intervention measures. Anxiety, depression and self-efficiency were measured for the whole group of patients (N=72) using specific instruments: Self-Efficiency Scale (AS Zigmond and RP Snaith,1983) and HADS – Hospital Anxiety and Depression Scale (AS Zigmond and RP Snaith, 1983). Using descriptive and inferential statistics methods as correlation and regression, the significant relationship between these variables were analyzed. In order to capitalize the relationship between self-efficiency and anxiety, depression, respectively, we used the Pearson-2 tailed correlation. The results for all patients in our group indicate there are statistically significant relationships (Sig=0.000 – compared to 0.05 materiality threshold) between self-efficiency and anxiety, as well as between self-efficiency and depression. The P value is negative for both correlations, but the P value for anxiety and self-efficiency is slightly higher (P=-0,597) than the P value for depression and self-efficiency (P=-0,532). Therefore, we can conclude that for the whole group a greater level of anxiety induces a lowering level of self-efficiency, and a greater level of depression also induces a diminishing level of self-efficiency. Furthermore, using a Two Steps Multilinear Regression we have assigned self-efficiency as dependent variable and anxiety, depression, and age as predictors. The results indicate that all three predictors (anxiety, depression, age) are significantly contributing to the self-efficiency evolution level explaining 44,7% of its structure. Influencing depression and anxiety we can control the level of self-efficiency. Thus, the therapists’ team can develop supportive programs in order to improve patient’s quality of life and specific coping mechanisms.

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