Associated Factors of Sleep Quality in Ovarian Cancer Patients Receiving Chemotherapy

• Main Authors: WU, HUI-JU, 吳惠茹
• Other Authors: Chien, Ching-Hui
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/3mj757

碩士 === 國立臺北護理健康大學 === 護理研究所 === 106 === Objectives: To explore the sleep quality and the associate factors of sleep quality before, during, and after chemotherapy in women with ovarian cancer. Methods: This study was design with convenience sampling method, 51 women with ovarian cancer who is receive chemotherapy were enrolled in the study at a medical center in Taipei. The data was collect at three time points: before chemotherapy (Time 0), forth chemotherapy (Time 1) and return to outpatient department after sixth chemotherapy (Time 2). The assessment tools are following: the symptom distress scale, the Center for Epidemiologic Studies Depression Scale, the General Self Efficacy Scale and the Pittsburgh Sleeping Quality Index. Generalized Estimating Equations were utilized for data analysis. Results: The results of overall PSQI were not significantly change over time during the chemotherapy period. However, in parameter of subjective sleep quality and sleep duration showed significant improvements at forth cycle of chemotherapy (Time 1) than pre-chemotherapy (Time 0). Result of univariate GEE as follows: (1) higher symptom distress and higher depression are significantly correlated with poor overall PSQI, especially in parameter of subjective sleep quality, sleep latency, sleep disturbances, sleeping pills use and daytime dysfunction. (2) Patients with senior high school or master degree have a shorter sleep latency compare to elementary school or junior high school degree. Patients undergoing Pegylope Liposomal Doxorubicin chemotherapy have a shorter sleep latency compared to patients undergoing platinum-based and paclitaxel chemotherapy. (3) Patients with elementary or junior high school diploma tend to have more severe sleep disturbance compared to patients with a bachelor degree. (4) Buddhist patients tend to have a shorter sleep duration compared to those who are not religious. Patients who are currently employed have a shorter sleep duration compared to those who are unemployed. (5) Patients with senior high school or master degree have worse sleep efficiency compared to those with elementary or junior high school. Patients who are currently employed have worse sleep efficiency compared to those who are unemployed. Patients with FIGO stage III have worse sleep efficiency compared to those with FIGO stage I and stage II. Patients undergoing radiotherapy have a better sleep efficiency compared to those have not received cancer-related therapy. (6) Elderly patients tend to use sleeping pills more frequently. Patients with income between 50,000 to 100,000 NT dollars per month tend to use sleeping pills more frequently compare to those with income below 50,000 NT dollars. Patients with history of cancer recurrence tend to use sleeping pills more frequently compare to those without. Patients undergoing platinum-based and paclitaxel chemotherapy have the tendency to use sleeping pills more frequently compared to patients undergoing Topotecan chemotherapy. Conclusion: This study explored the quality of sleep during chemotherapy period and the associate factors of sleep quality. Clinical provider should assess routinely and provide adequate health care in different cycle of chemotherapy. Hence, we could enhance the sleep quality in ovarian cancer by improving their physical symptom and emotional status degree.