Starzl Network Patient Reported Outcomes

Despite evidence supporting the benefits of QOL assessments and the availability of many QOL assessment instruments, the integration of these instruments into clinical practice has not yet become standard of care. The Pediatric Liver Transplant Quality of Life (PeLTQL), the study measure, is a condition-specific 26-item questionnaire; the investigators will be evaluating both total scores as well as subdomain scores and, importantly, discrepancies between child and parent reports of the child's QOL. The Electronic Platform: Real-Time Clinic (RTC). The platform will furnish providers with the total scores, subscale scores, thresholds ("met" vs. "not met"), discrepancy scores, and any question that has scores which may concern the clinician/clinical team. This information will be available before the clinic visit and can guide and inform discussion and problem-solving between patient and clinical team. The study does not standardize the response to the results and will not suggest a preferred way of action. Interpretation of the results, as well as actions related to them are completely left to clinician's discretion. The setting of this study - the Starzl Network for Excellence in Pediatric Transplantation (SNEPT Centers). SNEPT is a learning healthcare network that was established in 2018 to accelerate improvement in transplant outcomes by incorporating innovation, technology and the patient voice to address gaps in care that were identified by the collaborative transplant centers and family representatives. Study Aims The primary aim is successful implementation of the RTC app-based tool to obtain PeLTQL scores from pediatric liver transplant recipients and their parents or caregivers. The investigators also aim to assess the usability, impact, and ease of use (both for clinicians and patients/families) of the RTC platform and app-based version of the PeLTQL. The investigators will evaluate clinicians' subjective views on the platforms' ease of use, their time spent evaluating results, both in clinic and before patient visits, as well as the app's impact on back-end clinic workflow. Impact on patient outcomes will be evaluated using pre-post comparisons on adherence (determined by the objective medication level variability index, MLVI) as well as on the PeLTQL.