Design and rationale of the SMaRRT-HD study: A pragmatic, randomized trial of symptom monitoring for individuals receiving maintenance hemodialysis.

Individuals with hemodialysis-dependent kidney failure often suffer from numerous symptoms that contribute to poor patient outcomes. The Symptom Monitoring in Renal Replacement Therapy-Hemodialysis (SMaRRT-HD) Study is a pragmatic randomized trial of monitoring and follow-up of symptoms for individuals receiving maintenance hemodialysis. The trial uses an effectiveness-implementation hybrid design with randomization at the clinic level to compare the effectiveness of once monthly symptom monitoring with supported clinician follow-up via an electronic patient-reported outcome measure (ePROM) system called SMaRRT-HD compared to routine symptom monitoring without supported follow-up (Usual Care) to improve patient-reported and biomedical outcomes over a 12-month intervention period. This manuscript describes the design of the trial with a focus on the effectiveness evaluation component. The primary outcome is symptom severity ascertained with the Dialysis Symptom Index at 6 and 12 months. Secondary outcomes are additional patient-reported outcomes (PROs) including health-related quality of life, fatigue, pain, hemodialysis recovery time, depression, anxiety, and healthcare engagement and biomedical outcomes including hospitalizations, missed hemodialysis treatments, and shortened hemodialysis treatments. Exploratory outcomes include death and quality of communication between patients and clinicians. The trial will include up to 36 hemodialysis clinics located across the United States. The enrollment targets are 2400 participants for the Full Cohort from which the biomedical outcomes will be ascertained, and 1200 participants for the PRO Subset from which PROs will be ascertained. The findings of the trial will inform approaches to symptom monitoring and follow-up for people with hemodialysis-dependent kidney failure. Clinical Trials Registration Number: NCT05738330.

Duke Scholars

Author Virginia Wang Population Health Sciences