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Investigating the Impact of AI on Shared Decision Making in Post-kidney Transplant Care

Recruiting
18 years of age
Both
Phase N/A

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Overview

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.

Eligibility

Inclusion Criteria:

  • written informed consent
  • patients with functioning kidney allograft
  • > 12 months after transplantation
  • eGFR < 30 ml/min/1.73m2 according to CKD-EPI 2021 formula
  • at least 18 years of age
  • ability to communicate in German
  • regular follow-up at kidney transplant center

Exclusion Criteria:

  • multi-organ transplantation
  • eGFR > 30 ml/min/1.73m2 according to CKD-EPI 2021 formula
  • <= 12 months after transplantation
  • less than 18 years of age
  • not able to communicate in German
  • no regular follow-up at kidney transplant center
  • enrollment in another interventional study less than 1 month before participation in this study

Study details

Kidney Transplant Failure

NCT06056518

Charite University, Berlin, Germany

13 February 2024

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