Abstract
This study aimed to construct and verify a model that explains and predicts the health-related quality of life in patients undergoing haemodialysis. Individual and disease-related characteristics, social support, physical and emotional symptoms, patient role adherence and perceived health status may be interrelated and might affect the health-related quality of life of patients undergoing haemodialysis directly or indirectly. A correlational, cross-sectional research design was used. Participants were 202 patients undergoing haemodialysis at one of the seven nephrology clinics specified in this study. A structured questionnaire was used to collect data from September-November 2017. The collected data were analysed using spss version 25.0® and amos 23.0. This study adhered to the STROBE guideline. The hypothetical model with 13 of the 15 analysed paths showed a good fit to the empirical data: χ2 =85.67 (p<.001), normed χ2 =2.14, GFI=0.94, CFI=0.97, NFI=0.94, TLI=0.94, RMSEA=0.08, and RMSR=0.04. Symptoms (fatigue, quality of sleep, and depression), environmental (social support) and individual (age) characteristics and general health perception had a direct effect on health-related quality of life. Additionally, individual and environment characteristics affected health-related quality of life through biological functions, symptoms, functional status and general health perception. These variables explained 78.6% of the variation in health-related quality of life. To improve health-related quality of life in patients undergoing haemodialysis, systematic and integrated intervention programmes need to be developed and applied considering a variety of factors related to health-related quality of life. Individual and environment characteristics, biological functions, symptoms, functional status and general health perception should be systematically monitored to improve the health-related quality of life of patients on haemodialysis. It is also necessary to develop detailed interventions that consider all these factors.
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