Exploring Factors Related to Sleep Quality among Patients Undergoing Hemodialysis in Indonesia

• Main Authors: Abdu RahimKamil, 何凱民
• Other Authors: Miao-Fen Yen
• Format: Others
• Language: en_US
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/ume9d6

碩士 === 國立成功大學 === 護理學系 === 105 === Background: Sleep plays a significant role in humans’ life, good quality of sleep will help to maintain mental and physical health, and improves the quality of life. Studies found patients with hemodialysis (HD) experienced poor sleep quality. However, factors related to the sleep quality in Indonesia patients undergoing HD remains unclear. Purpose: The purpose of this study is to understand the influence of demographic, disease characteristic, and symptom burden factors on sleep quality among patients undergoing hemodialysis in Indonesia. Methods: A cross-sectional study was conducted. A convenience sample of 202 patients undergoing hemodialysis was recruited from two dialysis units in Center, and North Jakarta Islamic Hospitals from January to February 2017. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), demographic and disease characteristics were assessed using self-developed questionnaire, and the dialysis symptoms burden using the Dialysis Symptom Index (DSI). Data were analyzed using SPSS software. Descriptive statistic was used to identify demographic and disease characteristics and also the current state of symptom burden. A hierarchical multivariate linear regression analysis was performed to assess to identify the predictors of sleep quality. Results: Total of 202 subjects completed the questionnaires in this study. The result shows 90% of the subjects have poor sleep quality (n = 182). The average score of the global sleep score was 8.44 (SD = 3.50) from potential score of 0 – 21. The final model of hierarchical linear regression analyses explained 17.1% of the global sleep score. Dialysis symptom burden was a significant predictor of sleep quality. Conclusion: The study identified the sleep quality among patients undergoing hemodialysis are significantly associated with dialysis symptom burden. Thus, the dialysis symptom burden is a potential predictor that can be modified in order to improve sleep quality.