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研究生: 哈雅妮
Haryani,
論文名稱: 婦癌婦女接受化學治療期間症狀群群集與生活品質之關係
Symptom Cluster and Quality of Life among Gynecological Cancer Patients during Receiving Chemotherapy
指導教授: 許玉雲
Hsu, Yu-Yun
學位類別: 博士
Doctor
系所名稱: 醫學院 - 健康照護科學研究所
Institute of Allied Health Sciences
論文出版年: 2017
畢業學年度: 105
語文別: 英文
論文頁數: 128
外文關鍵詞: Symptom Cluster, Gynecological Cancer, Quality of Life, Chemotherapy
相關次數: 點閱:114下載:9
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  • Background: Gynecological cancer is the most common cancer after breast cancer in women. In Indonesia, the incidence of gynecological cancer was 2nd among women’s cancers in 2012, and this figure is expected to increase by around 20% by 2020. Dramatic advances in cancer diagnosis and treatment have improved the prognosis; however, multiple concurrent symptoms are experienced by cancer patients undergoing chemotherapy. The research on symptom management has changed from exploring single symptoms to symptom clusters. However, there have been limited symptom cluster studies on patients with gynecological cancer and its impact on their quality of life.
    Purpose: to explore the structure of symptom clusters and their impact on the QOL at different time points during chemotherapy treatment among gynecological cancer patients.
    Methods: A longitudinal design was used to explore the patterns of symptom clusters across four time periods from pre-chemotherapy (T0), 1-3 weeks after cycle 1 treatment (T1), cycle 2 treatment (T2) to cycle 3 (T3) in Dr. Sardjito General Hospital, Indonesia. The subjects were women diagnosed with gynecological cancer. Inclusion criteria for the subjects were planning to undergo chemotherapy, older than 18 years old, and able to read Bahasa. Exclusion criteria were cancer recurrence, cognitive impairment, central nervous system metastasis, and co-morbidity with other cancers. Three instruments were used including the Demographic and Clinical Characteristics, the Memorial Symptom Assessment Scale (MSAS), and the Short Form-36 (SF-36) questionnaires.
    Data Analysis: Descriptive statistics were used to analyze the demographic and clinical characteristics as well as symptom occurrence and severity. Exploratory factor analysis (EFA) was used to identify the structures of symptom clusters at each time point. A panel regression was used to analyze the influence of demographic and clinical characteristics on symptom clusters across time and the influence of the symptom cluster on QOL across time.
    Results: Overall, 120 patients with gynecological cancer provided baseline data, and 82 participants retained at T3. Before chemotherapy, the pain-related, nutrition, emotion, and treatment-related symptom clusters were determined as the four symptom clusters. However, after first cycle of chemotherapy, the symptom clusters were floating and changing across time points. The nutrition, fatigue-treatment, emotion, and pain-related symptom clusters presented after first cycle of chemotherapy (T1). After third cycle of chemotherapy (T3), the nutrition, emotion, body-image and pain-treatment symptom clusters presented. Cancer metastasis, types of gynecological cancer, stages, disease comorbidity and the level of education influence symptom clusters across time. Emotion and pain-related symptom clusters influence the QOL index.
    Conclusions: Four symptom clusters were identified across time points with slightly different structures. The patterns of symptom clusters changed across time points, which indicated the complexity of symptom clusters and the dynamic relationships among symptoms. Assessing symptom clusters is important to gynecological cancer patients undergoing chemotherapy.

    TABLE OF CONTENTS ABSTRACT I ACKNOWLEDGEMENTS III TABLE OF CONTENTS V LIST OF TABLES VIII LIST OF FIGURE IX CHAPTER ONE INTRODUCTION 1 1.1 Background 1 1.2 Significance 3 1.3 Research purpose 4 1.4 The research questions 5 CHAPTER TWO LITERATURE REVIEW 6 2.1 Gynecological cancer 6 2.2 Symptom Cluster in Cancer 12 2.3 Symptom clusters in gynecological cancer patients 21 2.4 Factors associated with symptom clusters among cancer patients 27 2.5 Symptom Cluster and Quality of Life in Cancer Patients 33 CHAPTER THREE METHODS 41 3.1 Research Design 41 3.2 Research Framework 41 3.3 Definition of terms 43 3.4 Subjects 45 3.5 Sample size 45 3.6 Setting 45 3.7 Instruments 45 3.8 Study Procedure 50 3.9 Data analysis 51 3.10 Ethical Consideration 54 CHAPTER FOUR RESULTS 55 4.1 Characteristics of Participants 56 4.2 Occurrence and Symptom Score at Each Time Point 59 4.3 Symptom Clusters Each Time Point and their Pattern Over Time 62 4.4 The Influence of Demographic and Clinical Characteristic on Symptom Cluster Structure Across Time 72 4.5 The Influence Of The Symptom Cluster Across Time On Quality Of Life 78 CHAPTER FIVE DISCUSSION 79 5.1 Symptom severity at each time point 79 5.2 Symptom clusters and their patterns over time 81 5.3 The Influence of Demographic and Clinical Characteristics on the Symptom Cluster Across Time 86 5.4 The Influence of Symptom Clusters Across Time on the QOL 87 CHAPTER SIX CONCLUSION 89 6.1 Conclusions 89 6.2 Strengths and limitations of this research 90 6.3 Recommendations for future research 91 6.4 Clinical implications 91 REFERENCES 94 APPENDICES 114 Appendix A: Questionnaire 114 Appendix B : Approval for using questionnaire 122 Appendix C : Ethical approval 125 Appendix D : Permission approval 128

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