The use of health information technology in renal transplantation: A systematic review

Renal transplantation is a complex, multi-disciplinary and cross-center service. Clinical pathways naturally traverse specialty and organizational boundaries as patients transition from chronic kidney disease to renal failure and ultimately transplantation. Health information technology (IT) has the potential to support transplant care by improving access to data, information sharing and communication. This novel review aimed to identify and characterize health IT solutions in renal transplantation, and where possible evaluate any intended benefits. A systematic literature review was conducted of studies covering any part of the clinical pathway, with end-users being clinical staff or patients. Interventions were characterized and evaluated for achieved benefits using the World Health Organization (WHO) Classification of Digital Health Interventions and the mixed methods assessment tool (MMAT) was used to determine the quality of experimental studies. Of 4498 articles, 12 descriptive and 6 experimental studies met the inclusion criteria. Median MMAT percentage score of experimental studies was 64 (i.q.r. 57 to 74.8). The most frequent functionality of technology involved overcoming communication roadblocks and improving access to data. Intended benefits included improving information management and supporting workflow, however only one study reported evaluated results. Six patient-facing applications that primarily addressed adherence-to-treatment were identified, five of which were evaluated for intended benefits, showing overall positive results. Overall, despite transplantation being well suited to health IT interventions, this review demonstrates a scarcity of literature in this field. A small number of clinician- and patient-facing IT solutions have been reported, albeit mostly in non-experimental studies. Due to this lack of formal evaluation, the effectiveness of solutions remains unclear. High-quality evaluative studies are required to develop effective IT solutions that improve clinical care.