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Different renal replacement therapy methods will cause significant impacts on the physical, mental, and social for patients with end-stage renal disease. Application shared decision-making should be able to effectively assist patients in choosing suitable renal replacement therapy. Currently, most of the patient decision aid of renal replacement therapy are written health education leaflets, which have problems such as too many words, more difficult content, and inconvenience. In shared decision-making, even though different treatment options are communicated to patients, there is still a gap between "understanding" and "real experience", it will be creating uncertainty of decision, and emphasizing true situational learning strategies should be a viable auxiliary method. Therefore, this study aims to develop a web-based patient decision aid of renal replacement therapy and integrates situational learning strategies into it. First, investigators have conducted a qualitative study to explore the related experience of patients with end-stage renal disease the decision-making needs in renal replacement therapy choice, and the experience and barrier of reading paper patient decision aid. Next, based on the results of the pilot study, the modified Delphi method will be used to collect the opinions of experts, and the situational learning theory will be integrated into the patient decision aid to develop the web-based situation renal replacement therapies patient decision aid. After completion, investigators will apply quasi-experimental, a repeated measurement that will be adopted to analyze the effectiveness of web-based patient decision aid of renal replacement therapy in shared decision-making in patients with end-stage renal disease.
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70 participants in 2 patient groups
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Ya-Fang Ho, PhD
Data sourced from clinicaltrials.gov
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