Predicting Factors on Quality of Life in kidney Transplant Recipients Patients

碩士 === 國立臺北護理健康大學 === 護理研究所 === 106 === The purpose of this study is to investigate the impact of the Transplant Symptom Frequency and Symptom Distress Scale and the Regulatory Emotional Self-Efficacy (RESE) on the quality of life in kidney transplantation recipients (KTRs). This study is a correlat...

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Bibliographic Details
Main Authors: LIU,MEI-CHUEN, 劉美春
Other Authors: LIANG,SHU-YUAN
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/8eu88j
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Summary:碩士 === 國立臺北護理健康大學 === 護理研究所 === 106 === The purpose of this study is to investigate the impact of the Transplant Symptom Frequency and Symptom Distress Scale and the Regulatory Emotional Self-Efficacy (RESE) on the quality of life in kidney transplantation recipients (KTRs). This study is a correlation and prediction design. This study was conducted in a teaching hospital specializes in Kidney transplantation located in Taipei, Taiwan. Data was collected by structured questionnaire survey in the clinic. From May to June, 2017, there were 90 KTRs in the study. The study tools included the individual background data from the Transplant Symptom Frequency and Symptom Distress Scale, the Regulatory Emotional Self-efficacy (RESE), and the Taiwan-version of Questionnaire of World Health Organization Quality of Life (WHOQOL-BREF). The data was managed and analyzed with SPSS 22.0 software. The statistics analyses included percentages, means, standard deviations, correlation coefficients, Pearson’s r correlation analysis and multiple hierarchical regression analysis. the three most distressed symptoms were weight gain, blurry vision, and bone pain. The average score of WHOQOL-BREF was 60.12. Our study found that the predictors of the quality of life of KTRs included symptoms distress and the regulatory emotional self-efficacy. Symptoms distress was negatively and significantly correlated with the quality of life score -0.406 (p<0.05), and the regulatory emotional self-efficacy was positively and significantly correlated with the quality of life score 0.580 (p<0.05). Symptoms distress scale by the quality of life of the patient the variance by 16.5% (R² increment=0.165). Addition of emotional self-efficacy scale into the Hierarchical Multiple Regression Analysis increased the variance by 22% (R² increment=0.217). Symptoms distress scale and emotional self-efficacy scale could be combined to predict the quality life scale (R²=0.382). The hierarchical multiple regression analysis involving symptomatic disorder scale and the emotional self-efficacy scale predicted 38.2% variance of life quality ( R²=0.382,F=26.89,p<0.001). The results revealed that symptoms distress and the regulatory emotional self-efficacy could significantly predict quality of life of KTRs. The findings in this study can assist medical professionals on their follow up care of KTRs. To improve the patients, quality of life.