Decision Support for the Renal Replacement Therapy With End-stage Renal Disease

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. 3\. Intervention measures The intervention measures in this study were discussed with the nephrologist and CKD health teachers. Based on theoretical considerations, both the experimental group and the control group can accept the introduction and selection of renal replacement therapy, but the decision support measures are different, and the experimental group provides decision support. Measures include the use of CKD Guardian as a decision-maker and the development of medical decision aids by e-book software, and the application and decision-directed model complemented by introduction and selection. The implementation steps include team discussion, option discussion and decision making. The conversation is conducted while the control group is introduced with traditional care care.