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系統識別號 U0026-0807201700095300
論文名稱(中文) 探討印尼血液透析病人之睡眠品質及影響因素
論文名稱(英文) Exploring Factors Related to Sleep Quality among Patients Undergoing Hemodialysis in Indonesia
校院名稱 成功大學
系所名稱(中) 護理學系
系所名稱(英) Department of Nursing
學年度 105
學期 2
出版年 106
研究生(中文) 何凱民
研究生(英文) Abdu Rahim Kamil
學號 T26047069
學位類別 碩士
語文別 英文
論文頁數 91頁
口試委員 指導教授-顏妙芬
口試委員-林靜蘭
口試委員-周承珍
中文關鍵字 none 
英文關鍵字 Sleep quality  Patients undergoing hemodialysis 
學科別分類
中文摘要 none
英文摘要 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.
論文目次 TABLE OF CONTENTS
ABSTRACT iii
LIST OF TABLES viii
CHAPTER I 1
INTRODUCTION 1
1.1 Background 1
1.2 Purpose 2
CHAPTER II 3
LITERATURE REVIEW 3
2.1 Number of Patients, HD Process and Drawbacks of HD 3
2.2 Physical, Psychological, and Sleep Problems in Patients with Hemodialysis 4
2.3 Sleep Process, Sleep Quality, Sleep Measures, and Sleep Studies in HD 9
2.4 Factors Associated with Sleep Quality 11
CHAPTER III 16
RESEARCH METHODOLOGY 16
3.1 Design and Research Framework 16
3.3 Sampling 17
3.4 Instrument 18
3.5 Data Collection Procedure 21
3.6 Ethical Consideration
 22
3.7 Data Analysis 23
CHAPTER IV 24
RESEARCH RESULTS 24
4.1 Demographic Characteristics of the Subjects 24
4.2 Dialysis Symptoms 25
4.3 Sleep Quality 28
4.4 Predictors of Sleep Quality 32
CHAPTER V 35
DISCUSSION 35
5.1 Sleep Quality among Patients Undergoing Hemodialysis 36
5.2 Factor that Explain Sleep Quality among Patients Undergoing Hemodialysis 39
5.3 Factors that Did Not Explain Sleep Quality among Patients Undergoing Hemodialysis 41
5.4 Limitation 44
5.5 Conclusion 45
5.6 Clinical Implication 45
REFERENCES 47
APPENDIX 64
Appendix 1: Demographic and Disease Characteristics Questionnaire 64
Appendix 2: Dialysis Symptoms Index 65
Appendix 3: Dialysis Symptoms Index Questionnaire Permission 67
Appendix 4: Dialysis Symptoms Index (Bahasa Indonesia) 69
Appendix 5: the Pittsburgh Sleep Quality Index 71
Appendix 6: the Pittsburgh Sleep Quality Index Questionnaire Permission 73
Appendix 7: the Pittsburgh Sleep Quality Index (Bahasa Indonesia) 74
Appendix 8: the Pittsburgh Sleep Quality Index (Scoring) 77
Appendix 9: Informed Consent Form 80
Appendix 10: Ethical Clearance Document 81
Appendix 11: Research Permission Approval Document 82

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