Hemodialysis is a method of removing waste products from the blood, such as potassium and urea, as well as excess water in cases of kidney failure. Previous studies have demonstrated that quality of life significantly affects the outcomes of the treatment itself. The demanding nature of the therapy impacts the patient's daily routine, and it is certain that their quality of life differs from that of the healthy population. The aim of the work is to determine the impact of quality of life on the same treatment outcomes. Have gender influence on the acceptance of health recommendations, and investigate whether there are differences in the quality of life of hemodialysis patients compared to the healthy population. According to the aim of the research, three hypotheses were set: Hypothesis 1. Quality of life affects the very outcomes of treatment. Hypothesis 2. Acceptance of health recommendations does not differ with respect to the respondents' gender Hypothesis 3. There are statistically significant differences in the quality of life of hemodialysis patients compared to the healthy population. Subjects and Methods: A structured demographic data questionnaire and the SF-26 health status and quality of life questionnaire will be used to obtain data. (Ware et al., 1993; 2000). The data were collected through a qualitative cross-sectional observational study. The questionnaire covers eight different areas focused on mental and physical health. The subjects will be patients undergoing dialysis at the General Hospital Dubrovnik, and at the Health Centers in Metković and Korĉula. The sample will consist of approximately 40 patients receiving hemodialysis. To compare with the healthy population, a matching sample will be randomly selected from healthy individuals. Descriptive statistics will be used in this study, and statistical significance will be tested using t-tests, ANOVA tests, and normality tests (Kolmogorov-Smirnov and Shapiro-Wilk). Results: The results do not show a statistically significant relationship between the location of the subjects and the level of physical activity. Asymptotic significance (p > 0.05) does not indicate statistical significance. However, the hypothesis concerning the quality of life for dialysis patients compared to the healthy population showed p < 0.05, demonstrating differences in quality of life between these two groups. The study revealed statistically significant differences in the quality of life of dialysis patients compared to the healthy population, particularly in the dimensions of vitality and social functioning. These results indicate that dialysis patients experience differences in quality of life compared to the general population, highlighting the need for tailored interventions to improve their quality of life.