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Patients often need more comprehensive information and clearer communication in order to to understand the complications, risks, cost and impacts on life quality associated with different treatment options. The purpose of this study is to investigate the efficacy of a decision support intervention on reducing conflict and improving satisfaction in making the renal replacement therapy decision among patients with end-stage renal disease. This study will be a randomized controlled trail. They will be randomly assigned to the experimental or the control group. Participants in the experimental group will receive the decision support intervention provided by the patient educators through using a decision support tool. The control participants will receive the routine care. Independent t-tests will be used to analyze between-group differences in autonomy preference index, renal replacement therapy knowledge, decision self-efficacy, decision conflict, decision regret, and decision satisfaction at different data collection points.Generalized Estimating Equations will be used to analyze between group differences in the changes of renal replacement therapy knowledge, decision self-efficacy, and decision conflict across time.
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I. Research object: In the outpatient department of a medical center in a medical center in the north, the case was collected, and the sample was selected conveniently. The patients who met the following sample selection conditions were selected, and 128 patients who agreed to participate in the study and filled out the consent form were studied by Random Allocation. The software software generates a random assignment list, which is then assigned to the experimental group and the control group.
2.The number of samples is calculated The number of samples required is calculated by G power (version 3.1.9.2) statistical software (Faul, Erdfelder, Buchner, & Lang, 2009), and the repeated measures ANOVA of the F test is used to compare the difference between the two groups (between factors) due to lack of intervention. The reference data of the effect size of the measure, the estimated measure should be moderately beneficial for the degree of decision-making, so according to the cohen's rule (Cohen, 1988) f2 is 0.30, the significant level α is 0.05, and the statistical power value is 0.05. It is 0.80, repeated measurement 3 times, the correlation between repeated measurements is 0.5, the total number of samples is estimated to be 86, each group is 43, and in addition, in order to make the secondary effect variable, there are enough samples, and consider The exit and omission values were about 20%. Therefore, 128 end-stage renal patients were selected from the hospital outpatient nephrology case management database. About 64 people in the experimental group and the control group participated in the study.
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76 participants in 2 patient groups
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