The prevalence and risk factors in End-Stage Renal Disease (ESRD) dialysis patients with sleep disorder in Taiwan

• Main Authors: Wen-yu Liao, 廖文瑜
• Other Authors: Shu-Chuan Jennifer Yeh
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/45188319709640338702

碩士 === 國立中山大學 === 醫務管理研究所 === 99 === Background: According to 2010 U.S. Renal Data System 2010Annual Data Report, the incidence and prevalence of End-Stage Renal Disease is the worst of the world in Taiwan. Sleep complaints are common in dialysis patients, and impacts negatively on health. It has become highly important issue. Objectives: This study explored the prevalence of ESRD with sleep disorder. We focused on demography status, comorbidities, dialysis therapies and utilization of health care to define the risk factors of disease. Methods: We conducted secondary data analysis with admnstrative data of National Health Insurance between 2000, 2002, 2004 and 2006. We firstly seleced the patients diagnosed as ESRD and Dyssomnia, and merged the data set and other related variables.The data was analyzed by Chi-square test, t-test and logistic regression. Result: The prevalence of ESRD with sleep disorder for the four years were 2.1%、2.7%、6.4% and 7.3%, respectively. Female patient has higher risk than male .Higher comorbidity score also lead to higher risk, dialysis therapies in hemodialysis/peritoneal were 16.45、16.48、8.23 and 7.91 in OR. There were significant differences in regions of hospital organizations (northern compared with the eastern, OR were 3.47, 2.73, 1.94 and 2.29, class of hospital organizations (compared with Physician Clinics), there are more cases in Regional Hospitals, except 2006. Outpatient expenses and visits are both positive correlation in all years. Conclusion: The risk factors of suffering sleep disorder in ESRD patients are sex, comorbidities and dialysis therapies. It is a relatively common but frequently unrecognized, therefore, we strongly suggested further study could be conducted by research questionnaires to make up the weakness of adminstatrative data.