Predictors of Quality of Life Among Hemodialysis Patients in A Government Hospital

End-stage renal disease (ESRD) significantly impacts patients’ physical, psychological, and social well-being, making quality of life (QoL) a key outcome in long-term hemodialysis care. This study aimed to assess the QoL and its predictors among hemodialysis patients in a government hospital. Using a descriptive-predictive design, data were gathered from 70 patients selected through total enumeration. Validated questionnaires measured socio-demographic characteristics and QoL across four dimensions: sense of security and safety; freedom, mobility, and autonomy; personal health and medical intervention; and stress and coping. Descriptive statistics and multiple linear regression were used for analysis. Results showed that respondents generally experienced fair QoL, with lower scores in health-related and coping domains. Age, highest educational attainment, and occupation significantly predicted QoL indicating that younger, more educated, and employed patients reported better well-being. Other variables such as gender, civil status, religion, income, comorbidities, and dialysis-related factors were not statistically significant. The regression model yielded R² = 0.407, indicating a moderate effect, with predictors explaining about 41% of the variance in QoL. These findings affirm Ferrans’ and Powers’ Quality of Life Model, which highlights the interaction between life circumstances and personal satisfaction. The study emphasizes the need for holistic, patient-centered interventions that go beyond clinical treatment and address educational, economic, and psychosocial support to improve overall quality of life among hemodialysis patients.