Correlation Between Symptom Clusters and Self‐Management Among Maintenance Haemodialysis Patients: A Cross‐Sectional Study

ABSTRACT Aims and Objectives The purpose of this study was to explore the relationship between symptom clusters and self‐management among maintenance haemodialysis (MHD) patients. Background MHD patients experience disease progression and multiple symptom burdens that severely impact quality of life, and self‐management of symptoms may significantly improve patient‐reported outcomes. Design A cross‐sectional study. Methods This cross‐sectional descriptive study included 194 patients undergoing MHD. The patients were assessed using the Dialysis Symptom Index (DSI) and the Haemodialysis Self‐Management Instrument (HD‐SMI). We used descriptive analysis, exploratory factor analysis, Pearson's correlation analysis and linear regression analysis to examine (1) the level of individual self‐management, (2) the presence of symptom clusters by symptom severity and (3) the correlation between symptom clusters and self‐management behaviours. This study was conducted in accordance with the STROBE checklist. Results The top five most severe symptoms among the patients were itching, feeling tired or lack of energy, difficulty sleeping, dry mouth and dry skin. We identified five groups of symptoms: (1) poor sleep, (2) neuromuscular, (3) gastrointestinal, (4) skin irritation and (5) psychological. In the present study, MHD patients reported low to moderate levels of self‐management behaviours (50.84 ± 10.56), and low self‐management ability was correlated with greater severity of the five symptom clusters ( p < 0.01). Linear regression analysis revealed that all five symptom clusters were included in the regression equation, explaining 30% of the total variance in self‐management skills among MHD patients. Conclusion Enhanced awareness of symptom clusters and comprehensive symptom management are necessary to improve patients' quality of life. Clinical Relevance Nursing practices should incorporate comprehensive symptom assessments to help patients develop effective self‐management strategies to improve quality of life.