Assessing barriers to adherence in routine clinical care for pediatric kidney transplant patients

Charles D Varnell1, Kristin L Rich2,3, Melissa Nichols1

  • 1Division of Nephrology & Hypertension, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.

Insights

Identifying barriers to immunosuppressive medication adherence in pediatric kidney transplant patients is crucial. A new system using EHR-integrated tablets successfully identified these barriers, paving the way for improved patient outcomes.

Area of Science:

  • Nephrology
  • Transplantation
  • Adherence Research

Background:

  • Patient-identified barriers to immunosuppressive medications are linked to poor adherence and adverse clinical outcomes in transplant recipients.
  • Routine assessment of adherence barriers is not standard in post-transplant care, with limited studies on reliable implementation strategies.

Purpose of the Study:

  • To implement and evaluate a system for identifying adherence barriers in pediatric kidney transplant patients.
  • To assess the feasibility and reliability of a patient-centered barriers assessment tool within routine clinical care.

Main Methods:

  • Utilized the Model for Improvement and Plan-Do-Study-Act (PDSA) cycles for system implementation.
  • Developed a patient-centered assessment tool, integrated into an Electronic Health Record (EHR) via tablet, with automated eligibility alerts.
  • Conducted time-series analysis for process measures and examined patient-caregiver dyad concordance on barriers.

Main Results:

  • The EHR-integrated tablet system proved to be the most reliable delivery method for barrier assessment.
  • Adherence barriers were reported by 43% of patients (forgetting, taste, side effects) and 35% of caregivers (forgetting, side effects).
  • Fair concordance (k=0.299) was observed between patient and caregiver reports of barriers.

Conclusions:

  • Standardized assessment of adherence barriers is feasible in pediatric kidney transplant care.
  • Successful implementation requires automation, redundant systems, dedicated staff, clear reporting, and reliable measurement.
  • Future research will investigate the predictive value of identified barriers on clinical outcomes like organ rejection and graft loss.

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