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This study aims to analyze the effects of AI-based risk prediction for graft loss on the frequency of conversations about the treatment after graft loss, as well as the associated shared decision making process in post-kidney transplant care in a German kidney transplant center (KTC), as perceived by the patient, their support person and the clinician/physician. Second, it aims to explore changes in patient and support person recall at 12 and 24 months follow-up. Implementation barriers and enablers will also be assessed.
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76 participants in 2 patient groups
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Klemens Budde, MD; Bilgin Osmanodja, MD
Data sourced from clinicaltrials.gov
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