Assessing barriers to adherence in routine clinical care for pediatric kidney transplant patients. (1st August 2017)

• Record Type: Journal Article
• Authors: Varnell, Charles D.; Rich, Kristin L.; Nichols, Melissa; Dahale, Devesh; Goebel, Jens W.; Pai, Ahna L. H.; Hooper, David K.; Modi, Avani C.
• Is Part Of: Pediatric transplantation. Volume 21:Number 7(2017)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-08-01
• Subjects: child -- nephrology -- patient compliance -- quality improvement -- transplants; Transplantation of organs, tissues, etc. in children -- Periodicals; 617.95408305
• DOI: 10.1111/petr.13027
• Languages: English
• ISSNs: 1397-3142

Abstract

Abstract: Patient‐identified barriers to immunosuppressive medications are associated with poor adherence and negative clinical outcomes in transplant patients. Assessment of adherence barriers is not part of routine post‐transplant care, and studies regarding implementing such a process in a reliable way are lacking. Using the Model for Improvement and PDSA cycles, we implemented a system to identify adherence barriers, including patient‐centered design of a barriers assessment tool, identification of eligible patients, clear roles for clinic staff, and creating a culture of non‐judgmental discussion around adherence. We performed time‐series analysis of our process measure. Secondary analyses examined the endorsement and concordance of adherence barriers between patient‐caregiver dyads. After three methods of testing, the most reliable delivery system was an EHR‐integrated tablet that alerted staff of patient eligibility for assessment. Barriers were endorsed by 35% of caregivers (n=85) and 43% of patients (n=60). The most frequently patient‐endorsed barriers were forgetting, poor taste, and side effects. Caregivers endorsed forgetting and side effects. Concordance between patient‐caregiver dyads was fair (k=0.299). Standardized adherence barriers assessment is feasible in the clinical care of pediatric kidney transplant patients. Features necessary for success included automation, redundant systems with designated staff to identify and mitigate failures, aligned reporting structures, and reliable measurement approaches. Future studies will examine whether barriers predict clinical outcomes (eg, organ rejection, graft loss).