Yuan-Yuan Song,Wenxiu Wang, Dongju Yang and Xiao-Lian Jiang
West China School of Nursing, Sichuan University, China
Scientific Tracks Abstracts: J Nurs Care
Background: Hemodialysis patients have been demonstrated to suffer from
a heavy burden of symptoms. Factors influencing the symptom burden of
hemodialysis patients are limited to demographic and clinical characteristics, little
is known about other potential factors that can be predictable and intervened,
such as self-management, sense of coherence and social support.
Methods: In a cross-sectional observational study conducted during February
2017 to October 2017, a total of 382 hemodialysis patients from four hospitals
completed questionnaires that provided information on demographic and
clinical characteristics, self-management, sense of coherence, social support
and total symptom burden. The data were analyzed using SPSS, and regression
analysis was used to evaluate for factors associated with symptom burden of
hemodialysis patients.
Results: The total scores of symptom burden among participants ranged from
21 to 139, with a mean score of 74.12. Multiple Regression model showed that
48.6% of the variance in symptom burden was explained by meaningfulness,
emotion management, daily urine output, subjective support, gender, and
manageability.
Conclusions: Self-management, sense of coherence, and social support are
found to influence their symptom burden, suggesting that health care providers
should perform symptom management from multi-faceted perspectives.
Continued studies are needed to further explore other potential factors that can
be predictable and intervened with regard to effective symptom management
for hemodialysis patients
Yuan-Yuan Song is a Nursing PhD candidate who is on her first year in West China School of Nursing in Sichuan University in China. She focuses her research on Chronic Disease Management, Especially Symptom Management of Hemodialysis Patients.
E-mail: syy9277@163.com
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