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Remote patient management (RPM) systems can detect early issues in automated peritoneal dialysis (APD). This case study shows RPM identifying catheter displacement and adherence problems, improving patient care.

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Area of Science:

  • Nephrology
  • Medical Technology

Background:

  • End-stage kidney disease necessitates renal replacement therapy.
  • Automated peritoneal dialysis (APD) is a treatment option.
  • Remote patient management (RPM) offers potential for early issue detection.

Observation:

  • A 23-year-old patient with end-stage kidney disease initiated APD.
  • A cloud-based APD RPM system was implemented with pre-defined alerts.
  • The system flagged prolonged drain times, indicating catheter displacement.

Findings:

  • Catheter repositioning resolved the drain time issue, confirmed by RPM data.
  • The RPM system identified <90% adherence to prescribed therapy.
  • Clinical staff required time to effectively utilize the RPM system's features.

Implications:

  • RPM systems can aid in early detection of APD complications like catheter displacement and poor adherence.
  • Healthcare providers need training to optimize RPM tool utilization.
  • Further studies are needed to assess RPM's impact on APD technique survival and resource use.